![]() | Columbus |
| GP: 71 | W: 37 | L: 30 | OTL: 4 | P: 78 GF: 219 | GA: 210 | PP%: 16.36% | PK%: 82.77% DG: Dany Bourdeau | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #870 vs Winnipeg |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Daniel Sprong | X | X | 100.00 | 74 | 32 | 97 | 89 | 83 | 78 | 88 | 81 | 76 | 78 | 81 | 62 | 93 | 52 | 48 | 56 | 50 | 0 | 0 | 27 | 1 | 3,840,000$ | |||
| 2 | Jonathan Toews | X | 100.00 | 93 | 40 | 57 | 60 | 78 | 67 | 88 | 78 | 99 | 78 | 75 | 76 | 81 | 89 | 97 | 19 | 50 | 0 | 0 | 36 | 1 | 3,500,000$ | ||||
| 3 | Pierre-Luc Dubois | X | X | 100.00 | 91 | 41 | 86 | 99 | 99 | 99 | 99 | 84 | 85 | 83 | 84 | 60 | 78 | 49 | 40 | 70 | 50 | 0 | 0 | 26 | 3 | 4,425,000$ | |||
| 4 | Vincent Trocheck | X | X | 100.00 | 76 | 32 | 96 | 84 | 74 | 90 | 98 | 81 | 80 | 79 | 79 | 65 | 84 | 66 | 53 | 50 | 50 | 0 | 0 | 30 | 1 | 3,150,000$ | |||
| 5 | Jordan Kyrou | X | X | 100.00 | 67 | 31 | 99 | 99 | 76 | 94 | 93 | 87 | 75 | 84 | 85 | 69 | 85 | 52 | 44 | 76 | 50 | 0 | 0 | 26 | 3 | 6,200,000$ | |||
| 6 | Clayton Keller | X | X | X | 100.00 | 85 | 37 | 92 | 99 | 89 | 99 | 99 | 88 | 99 | 86 | 84 | 68 | 98 | 49 | 37 | 74 | 50 | 0 | 0 | 25 | 3 | 7,100,000$ | ||
| 7 | Jeff Skinner | X | X | X | 100.00 | 79 | 36 | 90 | 91 | 81 | 81 | 85 | 72 | 54 | 67 | 73 | 56 | 82 | 75 | 59 | 40 | 50 | 0 | 0 | 32 | 2 | 720,000$ | ||
| 8 | Frank Vatrano | X | X | 100.00 | 77 | 38 | 82 | 74 | 79 | 80 | 94 | 69 | 72 | 66 | 74 | 59 | 83 | 62 | 62 | 48 | 50 | 0 | 0 | 30 | 1 | 1,100,000$ | |||
| 9 | Tyler Pitlick | X | 100.00 | 69 | 29 | 88 | 68 | 77 | 74 | 89 | 70 | 69 | 73 | 68 | 71 | 76 | 65 | 60 | 44 | 50 | 0 | 0 | 32 | 1 | 500,000$ | ||||
| 10 | Tomas Hertl | X | X | 100.00 | 74 | 29 | 98 | 89 | 85 | 90 | 84 | 72 | 99 | 68 | 73 | 59 | 76 | 61 | 54 | 51 | 50 | 0 | 0 | 30 | 2 | 875,000$ | |||
| 11 | Brendan Lemieux | X | X | 100.00 | 90 | 55 | 52 | 79 | 87 | 81 | 89 | 73 | 74 | 71 | 75 | 64 | 84 | 55 | 47 | 50 | 50 | 0 | 0 | 28 | 2 | 975,000$ | |||
| 12 | Logan Couture (C) | X | X | 100.00 | 72 | 32 | 95 | 68 | 75 | 74 | 93 | 81 | 96 | 77 | 77 | 73 | 80 | 86 | 87 | 31 | 50 | 0 | 0 | 35 | 1 | 5,250,000$ | |||
| 13 | Derek Forbort | X | 100.00 | 79 | 42 | 73 | 72 | 94 | 85 | 97 | 56 | 50 | 56 | 52 | 90 | 78 | 70 | 62 | 44 | 50 | 0 | 0 | 32 | 1 | 1,300,000$ | ||||
| 14 | Oliver Ekman-Larsson | X | 100.00 | 85 | 48 | 49 | 79 | 81 | 92 | 98 | 72 | 25 | 72 | 69 | 96 | 78 | 71 | 59 | 43 | 50 | 0 | 0 | 32 | 1 | 3,780,000$ | ||||
| 15 | Mikhail Sergachev (A) | X | 100.00 | 83 | 36 | 65 | 99 | 97 | 99 | 99 | 76 | 58 | 75 | 70 | 94 | 90 | 50 | 48 | 71 | 50 | 0 | 0 | 26 | 2 | 5,450,000$ | ||||
| 16 | Esa Lindell | X | 100.00 | 81 | 32 | 70 | 75 | 99 | 97 | 99 | 55 | 51 | 55 | 54 | 92 | 71 | 64 | 60 | 55 | 50 | 0 | 0 | 30 | 2 | 1,600,000$ | ||||
| 17 | Nicolas Hague | X | 100.00 | 81 | 38 | 64 | 87 | 99 | 90 | 93 | 61 | 55 | 62 | 55 | 92 | 79 | 46 | 43 | 63 | 50 | 0 | 0 | 25 | 3 | 3,100,000$ | ||||
| 18 | Devon Toews (A) | X | 100.00 | 66 | 32 | 89 | 81 | 84 | 94 | 96 | 68 | 50 | 73 | 60 | 96 | 73 | 61 | 60 | 56 | 50 | 0 | 0 | 30 | 4 | 5,900,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Noah Gregor | X | X | 89.64 | 87 | 32 | 84 | 95 | 84 | 87 | 94 | 78 | 77 | 74 | 77 | 72 | 82 | 46 | 42 | 59 | 50 | 0 | 0 | 25 | 4 | 1,600,000$ | |||
| 2 | Luke Kunin | X | X | 100.00 | 93 | 51 | 65 | 95 | 80 | 94 | 92 | 81 | 86 | 76 | 81 | 66 | 89 | 49 | 47 | 64 | 50 | 0 | 0 | 26 | 1 | 2,550,000$ | |||
| Équipe Mineure | |||||||||||||||||||||||||||||
| 1 | Cory Conacher | X | X | 100.00 | 67 | 33 | 94 | 72 | 72 | 69 | 79 | 70 | 53 | 67 | 70 | 60 | 72 | 70 | 63 | 24 | 50 | 0 | 0 | 34 | 2 | 800,000$ | |||
| 2 | Chris Wagner | X | 97.00 | 78 | 28 | 76 | 67 | 77 | 71 | 84 | 67 | 70 | 65 | 68 | 68 | 75 | 76 | 73 | 23 | 50 | 0 | 0 | 33 | 2 | 850,000$ | ||||
| 3 | Tomas Tatar | X | X | 99.00 | 69 | 33 | 88 | 73 | 69 | 82 | 97 | 74 | 70 | 69 | 71 | 55 | 88 | 71 | 57 | 39 | 50 | 0 | 0 | 33 | 2 | 900,000$ | |||
| 4 | Jordan Martinook | X | X | X | 100.00 | 63 | 17 | 95 | 65 | 81 | 77 | 90 | 64 | 83 | 63 | 67 | 72 | 85 | 62 | 55 | 31 | 50 | 0 | 0 | 31 | 1 | 1,000,000$ | ||
| 5 | Nick Cousins | X | X | X | 97.00 | 65 | 31 | 80 | 74 | 77 | 75 | 87 | 67 | 73 | 66 | 65 | 57 | 85 | 61 | 48 | 35 | 50 | 0 | 0 | 30 | 2 | 1,000,000$ | ||
| 6 | Dustin Brown | X | X | 96.00 | 68 | 20 | 85 | 57 | 77 | 71 | 99 | 71 | 69 | 73 | 67 | 65 | 83 | 88 | 99 | 21 | 50 | 0 | 0 | 39 | 1 | 951,000$ | |||
| 7 | Oscar Lindberg | X | X | X | 100.00 | 67 | 29 | 89 | 71 | 80 | 71 | 95 | 70 | 86 | 67 | 69 | 63 | 77 | 65 | 55 | 29 | 50 | 0 | 0 | 32 | 2 | 900,000$ | ||
| 8 | Colin Wilson | X | X | X | 100.00 | 67 | 22 | 94 | 70 | 78 | 69 | 90 | 72 | 82 | 66 | 72 | 66 | 83 | 74 | 66 | 27 | 50 | 0 | 0 | 34 | 2 | 1,100,000$ | ||
| 9 | Jeff Petry | X | 100.00 | 81 | 33 | 66 | 63 | 81 | 78 | 96 | 68 | 25 | 67 | 60 | 87 | 51 | 82 | 70 | 29 | 50 | 0 | 0 | 36 | 3 | 1,200,000$ | ||||
| 10 | Michael Stone | X | 100.00 | 67 | 45 | 61 | 58 | 82 | 78 | 98 | 53 | 50 | 50 | 52 | 85 | 56 | 74 | 59 | 35 | 50 | 0 | 0 | 34 | 2 | 950,000$ | ||||
| 11 | Dylan Samberg (R) | X | 100.00 | 74 | 32 | 81 | 80 | 90 | 83 | 99 | 53 | 72 | 56 | 46 | 97 | 77 | 48 | 48 | 66 | 50 | 0 | 0 | 25 | 1 | 800,000$ | ||||
| 12 | Andreas Englund | X | 100.00 | 88 | 76 | 62 | 71 | 88 | 76 | 99 | 44 | 70 | 46 | 44 | 86 | 75 | 59 | 57 | 51 | 50 | 0 | 0 | 27 | 3 | 825,000$ | ||||
| 13 | Brenden Dillon | X | 100.00 | 94 | 57 | 61 | 69 | 90 | 84 | 97 | 54 | 50 | 53 | 55 | 91 | 75 | 78 | 74 | 36 | 50 | 0 | 0 | 33 | 2 | 1,300,000$ | ||||
| 14 | Matthew Benning | X | 100.00 | 73 | 36 | 52 | 75 | 77 | 85 | 91 | 59 | 53 | 58 | 55 | 90 | 74 | 60 | 49 | 42 | 50 | 0 | 0 | 30 | 1 | 1,000,000$ | ||||
| 15 | Derick Brassard | X | X | X | 95.00 | 66 | 32 | 92 | 59 | 76 | 66 | 84 | 71 | 74 | 71 | 68 | 66 | 78 | 89 | 66 | 21 | 50 | 0 | 0 | 36 | 2 | 1,210,000$ | ||
| 16 | Ryan Kesler | X | X | 98.00 | 92 | 30 | 63 | 45 | 75 | 72 | 93 | 72 | 99 | 71 | 71 | 71 | 83 | 99 | 99 | 17 | 50 | 0 | 0 | 39 | 1 | 1,500,000$ | |||
| MOYENNE D’ÉQUIPE | 99.21 | 77 | 36 | 79 | 76 | 83 | 82 | 93 | 70 | 70 | 68 | 68 | 74 | 79 | 66 | 60 | 44 | 50 | 0 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Marc-Andre Fleury | 100.00 | 65 | 81 | 83 | 77 | 74 | 87 | 87 | 87 | 87 | 76 | 77 | 99 | 99 | 27 | 50 | 0 | 0 | 39 | 1 | 575,000$ | |
| 2 | John Gibson | 97.00 | 67 | 91 | 96 | 84 | 83 | 98 | 97 | 98 | 97 | 88 | 84 | 71 | 69 | 57 | 50 | 0 | 0 | 30 | 3 | 4,300,000$ | |
| Rayé | |||||||||||||||||||||||
| Équipe Mineure | |||||||||||||||||||||||
| 1 | Adin Hill | 100.00 | 67 | 87 | 84 | 82 | 75 | 84 | 85 | 86 | 85 | 82 | 79 | 56 | 56 | 64 | 50 | 0 | 0 | 28 | 1 | 925,000$ | |
| 2 | Chad Johnson | 100.00 | 56 | 90 | 82 | 81 | 70 | 81 | 79 | 82 | 83 | 77 | 73 | 96 | 95 | 7 | 50 | 0 | 0 | 38 | 2 | 500,000$ | |
| 3 | Joseph Woll (R) | 99.00 | 67 | 92 | 86 | 82 | 76 | 87 | 86 | 89 | 89 | 79 | 70 | 52 | 52 | 72 | 50 | 0 | 0 | 25 | 1 | 700,000$ | |
| MOYENNE D’ÉQUIPE | 99.20 | 64 | 88 | 86 | 81 | 76 | 87 | 87 | 88 | 88 | 80 | 77 | 75 | 74 | 45 | 50 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Claude Julien | 98 | 87 | 97 | 95 | 99 | 99 | 36 | CAN | 65 | 1 | 6,600,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Pierre-Luc Dubois | Columbus | C/LW | 71 | 25 | 37 | 62 | 20 | 20 | 0 | 72 | 76 | 246 | 67 | 190 | 10.16% | 3 | 1289 | 18.16 | 11 | 8 | 19 | 63 | 248 | 0 | 0 | 0 | 0 | 39 | 7 | 1 | 58.33% | 204 | 0 | 0 | 0 | 0 | 0.96 | 1 | 2 | 0 | 0 | 0 | 6 | 1 | 6 |
| 2 | Clayton Keller | Columbus | C/LW/RW | 71 | 25 | 35 | 60 | 17 | 27 | 5 | 77 | 151 | 283 | 69 | 201 | 8.83% | 11 | 1528 | 21.53 | 4 | 9 | 13 | 66 | 259 | 0 | 1 | 1 | 5 | 232 | 1 | 1 | 55.90% | 1914 | 0 | 0 | 0 | 0 | 0.79 | 0 | 4 | 0 | 1 | 0 | 3 | 5 | 5 |
| 3 | Luke Kunin | Columbus | C/RW | 69 | 25 | 29 | 54 | 20 | 83 | 15 | 123 | 56 | 199 | 69 | 145 | 12.56% | 5 | 1130 | 16.39 | 8 | 10 | 18 | 52 | 207 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 46.94% | 98 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | 0 | 1 | 2 | 4 | 0 | 5 |
| 4 | Jordan Kyrou | Columbus | LW/RW | 67 | 24 | 27 | 51 | -1 | 6 | 0 | 5 | 86 | 251 | 85 | 224 | 9.56% | 14 | 1349 | 20.14 | 2 | 5 | 7 | 51 | 249 | 1 | 0 | 1 | 5 | 138 | 5 | 2 | 50.34% | 149 | 0 | 0 | 0 | 0 | 0.76 | 0 | 2 | 0 | 0 | 0 | 1 | 6 | 2 |
| 5 | Mikhail Sergachev | Columbus | D | 71 | 15 | 34 | 49 | -12 | 98 | 0 | 182 | 72 | 180 | 76 | 138 | 8.33% | 99 | 1626 | 22.91 | 6 | 9 | 15 | 97 | 260 | 0 | 1 | 1 | 0 | 88 | 4 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 |
| 6 | Oliver Ekman-Larsson | Columbus | D | 67 | 16 | 28 | 44 | -13 | 151 | 25 | 182 | 110 | 162 | 60 | 121 | 9.88% | 134 | 1588 | 23.72 | 5 | 9 | 14 | 77 | 185 | 1 | 2 | 3 | 3 | 201 | 3 | 2 | 0% | 0 | 0 | 0 | 1 | 0 | 0.55 | 0 | 0 | 0 | 1 | 4 | 2 | 5 | 1 |
| 7 | Daniel Sprong | Columbus | LW/RW | 64 | 13 | 28 | 41 | 0 | 20 | 0 | 36 | 47 | 160 | 55 | 142 | 8.13% | 5 | 1227 | 19.18 | 0 | 10 | 10 | 24 | 208 | 0 | 0 | 0 | 1 | 11 | 0 | 3 | 40.00% | 95 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 |
| 8 | Devon Toews | Columbus | D | 71 | 8 | 29 | 37 | -18 | 6 | 0 | 23 | 78 | 105 | 35 | 79 | 7.62% | 133 | 1693 | 23.85 | 5 | 10 | 15 | 59 | 208 | 0 | 0 | 0 | 2 | 240 | 1 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 9 | Jonathan Toews | Columbus | C | 71 | 13 | 23 | 36 | 2 | 82 | 20 | 159 | 138 | 130 | 31 | 112 | 10.00% | 18 | 1303 | 18.36 | 1 | 7 | 8 | 19 | 157 | 0 | 0 | 0 | 4 | 208 | 1 | 0 | 55.03% | 1810 | 0 | 0 | 0 | 0 | 0.55 | 1 | 4 | 1 | 0 | 3 | 3 | 1 | 2 |
| 10 | Nicolas Hague | Columbus | D | 68 | 3 | 31 | 34 | 7 | 70 | 0 | 132 | 63 | 102 | 27 | 63 | 2.94% | 92 | 1341 | 19.72 | 1 | 8 | 9 | 51 | 198 | 0 | 0 | 0 | 1 | 193 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 |
| 11 | Logan Couture | Columbus | C/LW | 71 | 14 | 17 | 31 | 8 | 2 | 0 | 18 | 110 | 117 | 40 | 89 | 11.97% | 13 | 1268 | 17.87 | 3 | 4 | 7 | 27 | 186 | 1 | 0 | 1 | 3 | 206 | 2 | 1 | 55.99% | 1370 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
| 12 | Vincent Trocheck | Columbus | C/RW | 65 | 12 | 17 | 29 | -10 | 4 | 0 | 15 | 57 | 166 | 55 | 113 | 7.23% | 4 | 931 | 14.33 | 1 | 1 | 2 | 12 | 90 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 52.78% | 324 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
| 13 | Esa Lindell | Columbus | D | 71 | 6 | 20 | 26 | 20 | 84 | 0 | 94 | 46 | 51 | 17 | 33 | 11.76% | 94 | 1121 | 15.79 | 0 | 0 | 0 | 3 | 21 | 0 | 0 | 0 | 1 | 126 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| 14 | Brendan Lemieux | Columbus | LW/RW | 71 | 11 | 12 | 23 | -6 | 76 | 10 | 139 | 40 | 107 | 21 | 92 | 10.28% | 6 | 911 | 12.84 | 0 | 0 | 0 | 4 | 13 | 0 | 0 | 0 | 10 | 117 | 3 | 1 | 48.89% | 90 | 0 | 0 | 0 | 0 | 0.50 | 1 | 1 | 0 | 1 | 1 | 1 | 2 | 1 |
| 15 | Derek Forbort | Columbus | D | 71 | 3 | 11 | 14 | 18 | 65 | 5 | 71 | 40 | 47 | 16 | 29 | 6.38% | 69 | 1043 | 14.70 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 91 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 16 | Noah Gregor | Columbus | LW/RW | 20 | 5 | 7 | 12 | 0 | 8 | 0 | 31 | 30 | 60 | 19 | 43 | 8.33% | 5 | 403 | 20.19 | 0 | 2 | 2 | 13 | 68 | 0 | 0 | 0 | 2 | 50 | 0 | 0 | 47.29% | 129 | 0 | 0 | 0 | 0 | 0.59 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | Tomas Hertl | Columbus | C/LW | 71 | 3 | 8 | 11 | -5 | 22 | 0 | 20 | 28 | 62 | 16 | 35 | 4.84% | 5 | 554 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.26% | 94 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Tyler Pitlick | Columbus | RW | 44 | 3 | 4 | 7 | -2 | 10 | 0 | 10 | 18 | 29 | 7 | 21 | 10.34% | 6 | 314 | 7.15 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 32 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 19 | Jeff Skinner | Columbus | C/LW/RW | 54 | 2 | 3 | 5 | -4 | 4 | 0 | 30 | 16 | 40 | 10 | 42 | 5.00% | 0 | 441 | 8.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 45.16% | 31 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 20 | Frank Vatrano | Columbus | LW/RW | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0% | 0 | 33 | 16.53 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 1230 | 226 | 400 | 626 | 44 | 838 | 80 | 1420 | 1263 | 2498 | 775 | 1912 | 9.05% | 716 | 21103 | 17.16 | 47 | 92 | 139 | 618 | 2573 | 3 | 4 | 7 | 38 | 1946 | 35 | 18 | 54.72% | 6345 | 0 | 0 | 1 | 0 | 0.59 | 4 | 15 | 2 | 4 | 10 | 24 | 32 | 37 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | John Gibson | Columbus | 65 | 36 | 26 | 3 | 0.916 | 2.81 | 3870 | 14 | 3 | 181 | 2144 | 0 | 2 | 1 | 0.750 | 12 | 65 | 5 | 10 | 7 | 4 |
| 2 | Marc-Andre Fleury | Columbus | 4 | 1 | 1 | 0 | 0.925 | 3.13 | 134 | 0 | 0 | 7 | 93 | 0 | 0 | 0 | 0 | 0 | 1 | 53 | 0 | 0 | 0 |
| 3 | Joseph Woll | Cleveland (CLB) | 6 | 0 | 3 | 1 | 0.891 | 3.86 | 295 | 0 | 0 | 19 | 175 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | 0 | 0 | 1 |
| Statistiques d’équipe totales ou en moyenne | 75 | 37 | 30 | 4 | 0.914 | 2.89 | 4299 | 14 | 3 | 207 | 2412 | 0 | 2 | 1 | 12 | 71 | 71 | 10 | 7 | 5 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Brendan Lemieux (contrat à 1 volet) | Columbus | LW/RW | 28 | 1996-03-15 | USA | No | 216 Lbs | 6 ft1 | No | No | Trade | 2024-10-06 | Yes | Yes | 2 | 2025-09-09 | False | False | Pro & Farm | 975,000$ | 185,250$ | 975,000$ | 185,250$ | No | 975,000$ | - | - | - | - | - | - | - | - | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Clayton Keller (contrat à 1 volet) | Columbus | C/LW/RW | 25 | 1998-07-29 | USA | No | 178 Lbs | 5 ft11 | No | No | N/A | Yes | Yes | 3 | 2025-09-09 | False | False | Pro & Farm | 7,100,000$ | 1,349,000$ | 7,100,000$ | 1,349,000$ | No | 7,100,000$ | 7,100,000$ | - | - | - | - | - | - | - | 7,100,000$ | 7,100,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Daniel Sprong (contrat à 1 volet) | Columbus | LW/RW | 27 | 1997-03-17 | NET | No | 200 Lbs | 6 ft0 | No | No | Trade | 2026-04-25 | Yes | Yes | 1 | 2026-04-25 | False | False | Pro & Farm | 3,840,000$ | 729,600$ | 3,840,000$ | 729,600$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Derek Forbort (contrat à 1 volet) | Columbus | D | 32 | 1992-03-04 | USA | No | 223 Lbs | 6 ft4 | No | No | Trade | 2024-10-02 | Yes | Yes | 1 | False | False | Pro & Farm | 1,300,000$ | 247,000$ | 1,300,000$ | 247,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
| Devon Toews (contrat à 1 volet) | Columbus | D | 30 | 1994-02-02 | CAN | No | 195 Lbs | 6 ft1 | No | No | Trade | 2024-10-07 | Yes | Yes | 4 | 2025-09-09 | False | False | Pro & Farm | 5,900,000$ | 1,121,000$ | 5,900,000$ | 1,121,000$ | No | 5,900,000$ | 5,900,000$ | 5,900,000$ | - | - | - | - | - | - | 5,900,000$ | 5,900,000$ | 5,900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL |
| Esa Lindell (contrat à 1 volet) | Columbus | D | 30 | 1994-05-23 | FIN | No | 219 Lbs | 6 ft3 | No | No | Trade | 2025-09-26 | Yes | Yes | 2 | 2025-09-11 | False | False | Pro & Farm | 1,600,000$ | 304,000$ | 1,600,000$ | 304,000$ | No | 1,600,000$ | - | - | - | - | - | - | - | - | 1,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Frank Vatrano | Columbus | LW/RW | 30 | 1994-03-14 | USA | No | 206 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | 2024-09-14 | False | False | Pro & Farm | 1,100,000$ | 209,000$ | 1,100,000$ | 209,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jeff Skinner (contrat à 1 volet) | Columbus | C/LW/RW | 32 | 1992-01-19 | CAN | No | 216 Lbs | 5 ft11 | No | No | Free Agent | 2024-10-02 | Yes | Yes | 2 | 2024-10-11 | False | False | Pro & Farm | 720,000$ | 136,800$ | 720,000$ | 136,800$ | No | 720,000$ | - | - | - | - | - | - | - | - | 720,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| John Gibson (contrat à 1 volet) | Columbus | G | 30 | 1993-07-14 | USA | No | 234 Lbs | 6 ft3 | No | No | N/A | Yes | Yes | 3 | 2024-09-14 | False | False | Pro & Farm | 4,300,000$ | 817,000$ | 4,300,000$ | 817,000$ | No | 4,300,000$ | 4,300,000$ | - | - | - | - | - | - | - | 4,300,000$ | 4,300,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jonathan Toews (contrat à 1 volet) | Columbus | C | 36 | 1988-04-29 | CAN | No | 219 Lbs | 6 ft1 | No | No | Trade | 2025-10-23 | Yes | Yes | 1 | 2025-02-05 | False | False | Pro & Farm | 3,500,000$ | 665,000$ | 3,500,000$ | 665,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Jordan Kyrou (contrat à 1 volet) | Columbus | LW/RW | 26 | 1998-05-05 | CAN | No | 195 Lbs | 6 ft0 | No | No | N/A | Yes | Yes | 3 | 2024-09-14 | False | False | Pro & Farm | 6,200,000$ | 1,178,000$ | 6,200,000$ | 1,178,000$ | No | 6,200,000$ | 6,200,000$ | - | - | - | - | - | - | - | 6,200,000$ | 6,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Logan Couture (contrat à 1 volet) | Columbus | C/LW | 35 | 1989-03-28 | CAN | No | 210 Lbs | 6 ft1 | No | No | N/A | Yes | Yes | 1 | False | False | Pro & Farm | 5,250,000$ | 997,500$ | 5,250,000$ | 997,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Luke Kunin (contrat à 1 volet) | Columbus | C/RW | 26 | 1997-12-04 | USA | No | 201 Lbs | 6 ft0 | No | No | N/A | Yes | Yes | 1 | 2024-09-14 | False | False | Pro & Farm | 2,550,000$ | 484,500$ | 2,550,000$ | 484,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Marc-Andre Fleury (contrat à 1 volet) | Columbus | G | 39 | 1984-11-28 | CAN | No | 196 Lbs | 6 ft2 | No | No | Free Agent | Yes | Yes | 1 | 2024-09-23 | False | False | Pro & Farm | 575,000$ | 109,250$ | 575,000$ | 109,250$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Mikhail Sergachev (contrat à 1 volet) | Columbus | D | 26 | 1998-06-25 | RUS | No | 217 Lbs | 6 ft3 | No | No | N/A | Yes | Yes | 2 | False | False | Pro & Farm | 5,450,000$ | 1,035,500$ | 5,450,000$ | 1,035,500$ | No | 5,450,000$ | - | - | - | - | - | - | - | - | 5,450,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Nicolas Hague (contrat à 1 volet) | Columbus | D | 25 | 1998-12-05 | CAN | No | 230 Lbs | 6 ft6 | No | No | N/A | Yes | Yes | 3 | 2025-09-09 | False | False | Pro & Farm | 3,100,000$ | 589,000$ | 3,100,000$ | 589,000$ | No | 3,100,000$ | 3,100,000$ | - | - | - | - | - | - | - | 3,100,000$ | 3,100,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Noah Gregor (sur la masse salariale) | Columbus | LW/RW | 25 | 1998-07-28 | CAN | No | 185 Lbs | 6 ft0 | No | No | Trade | 2026-04-26 | No | No | 4 | 2025-09-11 | False | False | Pro & Farm | 1,600,000$ | 304,000$ | 0$ | 0$ | Yes | 1,600,000$ | 1,600,000$ | 1,600,000$ | - | - | - | - | - | - | 1,600,000$ | 1,600,000$ | 1,600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL |
| Oliver Ekman-Larsson (contrat à 1 volet) | Columbus | D | 32 | 1991-07-17 | SWE | No | 199 Lbs | 6 ft2 | No | No | Trade | 2026-04-26 | Yes | Yes | 1 | 2026-04-26 | False | False | Pro & Farm | 3,780,000$ | 718,200$ | 3,780,000$ | 718,200$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Pierre-Luc Dubois (contrat à 1 volet) | Columbus | C/LW | 26 | 1998-06-24 | CAN | No | 214 Lbs | 6 ft3 | No | No | Trade | 2025-03-23 | Yes | Yes | 3 | 2025-03-23 | False | False | Pro & Farm | 4,425,000$ | 840,750$ | 4,425,000$ | 840,750$ | No | 4,425,000$ | 4,425,000$ | - | - | - | - | - | - | - | 4,425,000$ | 4,425,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Tomas Hertl (contrat à 1 volet) | Columbus | C/LW | 30 | 1993-11-12 | CZE | No | 219 Lbs | 6 ft2 | No | No | Trade | 2024-12-18 | Yes | Yes | 2 | 2025-09-09 | False | False | Pro & Farm | 875,000$ | 166,250$ | 875,000$ | 166,250$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Tyler Pitlick (contrat à 1 volet) | Columbus | RW | 32 | 1991-11-01 | USA | No | 203 Lbs | 6 ft2 | No | No | Waiver | Yes | Yes | 1 | 2025-09-24 | False | False | Pro & Farm | 500,000$ | 95,000$ | 500,000$ | 95,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Vincent Trocheck (contrat à 1 volet) | Columbus | C/RW | 30 | 1993-07-11 | USA | No | 192 Lbs | 5 ft10 | No | No | Trade | 2025-10-17 | Yes | Yes | 1 | 2025-10-17 | False | False | Pro & Farm | 3,150,000$ | 598,500$ | 3,150,000$ | 598,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 29.64 | 208 Lbs | 6 ft1 | 1.95 | 3,081,364$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 67,790,000$ | 42,245,000$ | 32,625,000$ | 7,500,000$ | 0$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Pierre-Luc Dubois | Clayton Keller | Jordan Kyrou | 30 | 0 | 1 | 4 |
| 2 | Daniel Sprong | Vincent Trocheck | Frank Vatrano | 30 | 0 | 2 | 3 |
| 3 | Logan Couture | Jonathan Toews | Brendan Lemieux | 25 | 1 | 2 | 2 |
| 4 | Jeff Skinner | Tomas Hertl | Tyler Pitlick | 15 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Mikhail Sergachev | Devon Toews | 35 | 0 | 1 | 4 | |
| 2 | Oliver Ekman-Larsson | Nicolas Hague | 30 | 0 | 2 | 3 | |
| 3 | Esa Lindell | Derek Forbort | 25 | 1 | 2 | 2 | |
| 4 | Mikhail Sergachev | Oliver Ekman-Larsson | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Pierre-Luc Dubois | Clayton Keller | Jordan Kyrou | 70 | 0 | 0 | 5 |
| 2 | Logan Couture | Jonathan Toews | Frank Vatrano | 30 | 0 | 0 | 5 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Mikhail Sergachev | Oliver Ekman-Larsson | 70 | 0 | 0 | 5 | |
| 2 | Devon Toews | Nicolas Hague | 30 | 0 | 0 | 5 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Jonathan Toews | Brendan Lemieux | 50 | 1 | 3 | 1 |
| 2 | Logan Couture | Clayton Keller | 50 | 1 | 3 | 1 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Esa Lindell | Oliver Ekman-Larsson | 50 | 1 | 4 | 0 |
| 2 | Devon Toews | Nicolas Hague | 50 | 1 | 4 | 0 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jonathan Toews | 50 | 0 | 5 | 0 | Esa Lindell | Oliver Ekman-Larsson | 50 | 0 | 5 | 0 |
| 2 | Logan Couture | 50 | 0 | 5 | 0 | Devon Toews | Nicolas Hague | 50 | 0 | 5 | 0 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Clayton Keller | Jordan Kyrou | 50 | 0 | 2 | 3 |
| 2 | Logan Couture | Pierre-Luc Dubois | 50 | 0 | 2 | 3 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Esa Lindell | Oliver Ekman-Larsson | 50 | 1 | 2 | 2 |
| 2 | Devon Toews | Nicolas Hague | 50 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Pierre-Luc Dubois | Clayton Keller | Vincent Trocheck | Mikhail Sergachev | Oliver Ekman-Larsson |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Logan Couture | Jonathan Toews | Tyler Pitlick | Mikhail Sergachev | Oliver Ekman-Larsson |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Logan Couture, Jordan Kyrou, Brendan Lemieux | Logan Couture, Jordan Kyrou | Brendan Lemieux |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Esa Lindell, Derek Forbort, Devon Toews | Esa Lindell | Derek Forbort, Devon Toews |
| Tirs de pénalité |
|---|
| Clayton Keller, Brendan Lemieux, Jonathan Toews, Pierre-Luc Dubois, Logan Couture |
| Gardien |
|---|
| #1 : John Gibson, #2 : Marc-Andre Fleury |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Clayton Keller, Jordan Kyrou, Jonathan Toews, Pierre-Luc Dubois, Jeff Skinner, Logan Couture, Frank Vatrano, Vincent Trocheck, Brendan Lemieux, Tomas Hertl |
| Lignes de défense personnalisées en prolongation |
|---|
| Mikhail Sergachev, Oliver Ekman-Larsson, Devon Toews, Nicolas Hague, Esa Lindell |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 1 | Anaheim | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 1 | 1 | 75 | 23 | 22 | 24 | 6 | 66 | 11 | 16 | 39 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 51 | 37 | 46 | 14 | 26 | 13 |
| 2 | Boston | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 14 | 20 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.167 | 14 | 27 | 41 | 0 | 0 | 3 | 8 | 3 | 0 | 184 | 69 | 64 | 51 | 0 | 227 | 56 | 66 | 100 | 22 | 4 | 18.18% | 26 | 5 | 80.77% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 145 | 103 | 142 | 41 | 71 | 36 |
| 3 | Buffalo | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 17 | 14 | 3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 6 | 0.750 | 17 | 33 | 50 | 0 | 0 | 8 | 4 | 3 | 2 | 144 | 51 | 45 | 46 | 2 | 127 | 32 | 43 | 75 | 11 | 3 | 27.27% | 19 | 5 | 73.68% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 102 | 74 | 89 | 27 | 49 | 25 |
| 4 | Chicago | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 4 | 2 | 0 | 81 | 29 | 22 | 30 | 0 | 68 | 13 | 6 | 32 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 52 | 37 | 42 | 13 | 24 | 12 |
| 5 | Colorado | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 0 | 3 | 2 | 89 | 26 | 33 | 27 | 6 | 54 | 21 | 10 | 27 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 53 | 37 | 44 | 14 | 26 | 13 |
| 6 | Dallas | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 61 | 21 | 21 | 17 | 6 | 65 | 21 | 22 | 35 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 48 | 33 | 51 | 14 | 25 | 12 |
| 7 | Detroit | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | -3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 58 | 15 | 17 | 23 | 3 | 57 | 14 | 21 | 39 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 55 | 38 | 40 | 14 | 26 | 13 |
| 8 | Edmonton | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 37 | 3 | 13 | 18 | 3 | 35 | 9 | 15 | 20 | 6 | 3 | 50.00% | 5 | 0 | 100.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 23 | 15 | 26 | 7 | 13 | 7 |
| 9 | Floride | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 3 | 1 | 4 | 0 | 95 | 31 | 37 | 27 | 0 | 148 | 47 | 30 | 61 | 8 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 60 | 40 | 80 | 21 | 38 | 18 |
| 10 | Los Angeles | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 1 | 4 | 1 | 55 | 13 | 16 | 24 | 2 | 81 | 24 | 22 | 34 | 5 | 1 | 20.00% | 11 | 3 | 72.73% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 50 | 35 | 48 | 13 | 24 | 11 |
| 11 | Minnesota | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 45 | 12 | 18 | 15 | 0 | 27 | 10 | 9 | 10 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 27 | 20 | 20 | 7 | 11 | 6 |
| 12 | Montreal | 6 | 1 | 3 | 0 | 1 | 0 | 0 | 1 | 16 | 20 | -4 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 10 | 14 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 5 | 0.417 | 16 | 26 | 42 | 0 | 0 | 5 | 6 | 4 | 1 | 199 | 60 | 66 | 70 | 6 | 214 | 60 | 62 | 110 | 22 | 1 | 4.55% | 29 | 5 | 82.76% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 146 | 100 | 142 | 45 | 77 | 38 |
| 13 | NYIslanders | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 16 | 15 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 13 | -2 | 7 | 0.700 | 16 | 29 | 45 | 0 | 0 | 7 | 6 | 2 | 1 | 165 | 48 | 51 | 55 | 14 | 159 | 53 | 51 | 80 | 14 | 2 | 14.29% | 18 | 5 | 72.22% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 120 | 84 | 125 | 35 | 62 | 31 |
| 14 | NYRangers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 4 | 0.667 | 7 | 11 | 18 | 0 | 1 | 3 | 3 | 1 | 0 | 109 | 40 | 38 | 31 | 0 | 101 | 26 | 18 | 42 | 14 | 2 | 14.29% | 9 | 0 | 100.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 77 | 56 | 64 | 20 | 37 | 19 |
| 15 | New Jersey | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 3 | 0.500 | 10 | 15 | 25 | 0 | 1 | 4 | 2 | 4 | 0 | 120 | 46 | 28 | 46 | 0 | 95 | 35 | 24 | 58 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 1 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 78 | 55 | 64 | 19 | 36 | 19 |
| 16 | Philadelphie | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.167 | 17 | 31 | 48 | 0 | 0 | 9 | 3 | 5 | 0 | 205 | 67 | 72 | 66 | 0 | 228 | 72 | 46 | 112 | 26 | 6 | 23.08% | 22 | 6 | 72.73% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 140 | 98 | 147 | 42 | 72 | 35 |
| 17 | Pittsburgh | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.500 | 15 | 26 | 41 | 1 | 0 | 8 | 7 | 0 | 0 | 189 | 73 | 71 | 45 | 0 | 103 | 33 | 67 | 73 | 29 | 2 | 6.90% | 25 | 6 | 76.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 112 | 80 | 78 | 28 | 48 | 24 |
| 18 | San Jose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 50 | 13 | 21 | 16 | 0 | 76 | 23 | 25 | 30 | 5 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 43 | 30 | 51 | 14 | 25 | 11 |
| 19 | Seattle | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 70 | 20 | 21 | 29 | 0 | 58 | 16 | 39 | 30 | 15 | 2 | 13.33% | 15 | 2 | 86.67% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 53 | 38 | 41 | 13 | 24 | 12 |
| 20 | St. Louis | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 1 | 1 | 89 | 35 | 20 | 33 | 1 | 103 | 34 | 30 | 54 | 9 | 3 | 33.33% | 14 | 0 | 100.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 72 | 49 | 71 | 21 | 36 | 19 |
| 21 | Tampa Bay | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 9 | 6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 6 | 0.750 | 15 | 22 | 37 | 0 | 0 | 8 | 5 | 1 | 1 | 149 | 52 | 46 | 50 | 1 | 129 | 34 | 37 | 64 | 12 | 3 | 25.00% | 16 | 2 | 87.50% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 97 | 69 | 93 | 28 | 49 | 24 |
| 22 | Vancouver | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 1 | 1 | 63 | 29 | 12 | 19 | 3 | 66 | 18 | 16 | 40 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 47 | 31 | 49 | 14 | 26 | 13 |
| 23 | Washington | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 6 | 1.000 | 11 | 21 | 32 | 0 | 1 | 6 | 2 | 3 | 0 | 94 | 36 | 31 | 27 | 0 | 92 | 39 | 18 | 58 | 13 | 1 | 7.69% | 8 | 1 | 87.50% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 77 | 53 | 64 | 20 | 37 | 20 |
| 24 | Winnipeg | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 38 | 9 | 13 | 16 | 0 | 34 | 9 | 6 | 18 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 25 | 18 | 22 | 7 | 12 | 5 |
| Total | 71 | 24 | 30 | 0 | 11 | 2 | 2 | 2 | 219 | 210 | 9 | 35 | 13 | 12 | 0 | 6 | 1 | 2 | 1 | 122 | 104 | 18 | 36 | 11 | 18 | 0 | 5 | 1 | 0 | 1 | 97 | 106 | -9 | 78 | 0.549 | 219 | 383 | 602 | 1 | 3 | 88 | 69 | 49 | 14 | 2464 | 821 | 798 | 805 | 53 | 2413 | 710 | 699 | 1241 | 275 | 45 | 16.36% | 296 | 51 | 82.77% | 2 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 1768 | 1241 | 1651 | 504 | 885 | 447 | |
| _Since Last GM Reset | 71 | 24 | 30 | 0 | 11 | 2 | 2 | 2 | 219 | 210 | 9 | 35 | 13 | 12 | 0 | 6 | 1 | 2 | 1 | 122 | 104 | 18 | 36 | 11 | 18 | 0 | 5 | 1 | 0 | 1 | 97 | 106 | -9 | 78 | 0.549 | 219 | 383 | 602 | 1 | 3 | 88 | 69 | 49 | 14 | 2464 | 821 | 798 | 805 | 53 | 2413 | 710 | 699 | 1241 | 275 | 45 | 16.36% | 296 | 51 | 82.77% | 2 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 1768 | 1241 | 1651 | 504 | 885 | 447 | |
| _Vs Conference | 49 | 16 | 24 | 0 | 6 | 1 | 0 | 2 | 150 | 156 | -6 | 23 | 8 | 9 | 0 | 4 | 1 | 0 | 1 | 81 | 76 | 5 | 26 | 8 | 15 | 0 | 2 | 0 | 0 | 1 | 69 | 80 | -11 | 47 | 0.480 | 150 | 263 | 413 | 1 | 3 | 65 | 48 | 31 | 6 | 1711 | 588 | 566 | 537 | 26 | 1680 | 501 | 483 | 872 | 188 | 27 | 14.36% | 204 | 40 | 80.39% | 1 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 1217 | 856 | 1134 | 345 | 607 | 306 | |
| _Vs Division | 24 | 11 | 10 | 0 | 1 | 1 | 0 | 1 | 76 | 69 | 7 | 9 | 4 | 3 | 0 | 1 | 1 | 0 | 0 | 31 | 29 | 2 | 15 | 7 | 7 | 0 | 0 | 0 | 0 | 1 | 45 | 40 | 5 | 26 | 0.542 | 76 | 133 | 209 | 1 | 3 | 37 | 23 | 15 | 1 | 882 | 310 | 291 | 270 | 14 | 778 | 258 | 224 | 423 | 106 | 14 | 13.21% | 93 | 20 | 78.49% | 1 | 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% | 608 | 428 | 545 | 167 | 294 | 150 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 71 | 78 | L1 | 219 | 383 | 602 | 2464 | 2413 | 710 | 699 | 1241 | 1 | 3 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 71 | 24 | 30 | 11 | 2 | 2 | 2 | 219 | 210 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 35 | 13 | 12 | 6 | 1 | 2 | 1 | 122 | 104 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 36 | 11 | 18 | 5 | 1 | 0 | 1 | 97 | 106 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 5 | 5 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 275 | 45 | 16.36% | 296 | 51 | 82.77% | 2 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 821 | 798 | 805 | 53 | 88 | 69 | 49 | 14 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 1577 | 2837 | 55.59% | 1492 | 2704 | 55.18% | 636 | 1116 | 56.99% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 1768 | 1241 | 1651 | 504 | 885 | 447 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Capacité de l’aréna - Tendance du prix des billets - % | |||||
|---|---|---|---|---|---|
| Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
| Capacité | 8333 | 6944 | 2778 | 5556 | 1389 |
| Prix des billets | 80 | 50 | 35 | 25 | 180 |
| Assistance | 231,722 | 209,807 | 91,756 | 177,544 | 38,909 |
| Attendance PCT | 79.45% | 86.33% | 94.37% | 91.30% | 80.03% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 6 | 21421 - 85.68% | 1,558,816$ | 54,558,544$ | 25000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 57,451,650$ | 67,790,000$ | 66,190,000$ | 6,600,000$0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|---|
| 330,950$ | 52,023,175$ | 0$ | 21 | 1 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 9,352,893$ | 38 | 371,950$ | 14,134,100$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 14,868,746$ | 8,535,407$ | 3,810,420$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 64,599,275$ | 400,725$ | 65,000,000$ | 24,599,275$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
|---|---|---|---|---|---|---|
| Benjamin Rautiainen* | Columbus | 23 | 92 | |||
| Christian Kyrou | Columbus | 21 | 28 | |||
| Coulson Pitre | Columbus | 22 | 52 | |||
| Cruz Lucius | Columbus | 21 | 95 | |||
| Egor Sokolov* | Columbus | 18 | 35 | |||
| Ivan Prosvetov | Columbus | 17 | 137 | |||
| Justin Kirkland | Columbus | 13 | 56 | |||
| Kim Nousiainen | Columbus | 18 | 109 | |||
| Kristian Epperson* | Columbus | 23 | 79 | |||
| Mathias Laferriere | Columbus | 17 | 135 | |||
| Mathieu Cataford | Columbus | 22 | 58 | |||
| Max Plante | Columbus | 23 | 37 | |||
| Maxmilian Curran | Columbus | 23 | 96 | |||
| Nick Abruzzese* | Columbus | 17 | 123 | |||
| Nick Malik | Columbus | 21 | 106 | |||
| Nikita Alexandrov | Columbus | 18 | 85 | |||
| Patrik Puistola | Columbus | 18 | 45 | |||
| Petr Hauser | Columbus | 21 | 124 | |||
| Riley McCourt* | Columbus | 18 | 91 | |||
| Ronnie Attard* | Columbus | 17 | 113 | |||
| Scott Perunovich* | Columbus | 16 | 43 | |||
| Tomas Mrsic | Columbus | 23 | 42 | |||
| Vitali Kravtsov | Columbus | 17 | 8 |
| Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 24 | | | |||||
| 25 | | | | | | | |
| 26 | | | | | | | |
| 27 | | | | | | | |
| 28 | | | | | | | |
| Choix au repêchage conditionnel | |||||||
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|