![]() | Minnesota |
| GP: 80 | W: 37 | L: 34 | OTL: 9 | P: 83 GF: 253 | GA: 250 | PP%: 18.70% | PK%: 80.07% GM : Martin Mercier | Morale : 50 | Team Overall : N/A Next Games #1000 vs Buffalo |
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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 |
| # | Player Name | 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 | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Danton Heinen | X | X | X | 100.00 | 79 | 36 | 91 | 86 | 91 | 87 | 92 | 77 | 74 | 74 | 78 | 65 | 84 | 57 | 53 | 53 | 50 | 0 | 0 | 28 | 1 | 5,227,500$ | ||
| 2 | John Peterka | X | X | X | 100.00 | 70 | 30 | 92 | 83 | 82 | 82 | 99 | 80 | 70 | 80 | 79 | 60 | 84 | 39 | 39 | 83 | 50 | 0 | 0 | 22 | 2 | 900,000$ | ||
| 3 | Ondrej Kase | X | 100.00 | 71 | 35 | 97 | 85 | 80 | 94 | 92 | 76 | 78 | 69 | 75 | 67 | 93 | 55 | 51 | 53 | 50 | 0 | 0 | 28 | 2 | 1,300,000$ | ||||
| 4 | Nino Niederreiter (A) | X | X | 100.00 | 82 | 34 | 92 | 82 | 92 | 86 | 87 | 78 | 73 | 77 | 74 | 64 | 77 | 65 | 56 | 48 | 50 | 0 | 0 | 31 | 1 | 4,950,000$ | |||
| 5 | Ryan Nugent-Hopkins (A) | X | X | 100.00 | 76 | 34 | 96 | 90 | 77 | 86 | 88 | 81 | 84 | 78 | 77 | 62 | 86 | 69 | 59 | 42 | 50 | 0 | 0 | 31 | 2 | 5,300,000$ | |||
| 6 | Jonathan Huberdeau | X | X | 100.00 | 83 | 33 | 86 | 89 | 77 | 90 | 91 | 79 | 52 | 78 | 77 | 62 | 86 | 65 | 55 | 41 | 50 | 0 | 0 | 31 | 1 | 5,800,000$ | |||
| 7 | Gabriel Landeskog | X | X | 100.00 | 90 | 43 | 71 | 83 | 79 | 94 | 99 | 84 | 61 | 82 | 82 | 78 | 78 | 70 | 99 | 43 | 50 | 0 | 0 | 31 | 2 | 4,725,000$ | |||
| 8 | Brady Tkachuk | X | 100.00 | 98 | 55 | 62 | 99 | 99 | 99 | 99 | 79 | 81 | 77 | 79 | 58 | 90 | 47 | 61 | 69 | 50 | 0 | 0 | 24 | 2 | 4,400,000$ | ||||
| 9 | Sidney Crosby | X | 100.00 | 87 | 54 | 71 | 64 | 76 | 74 | 99 | 81 | 98 | 81 | 77 | 76 | 83 | 98 | 93 | 26 | 50 | 0 | 0 | 36 | 2 | 4,911,200$ | ||||
| 10 | Alexander Wennberg (C) | X | X | X | 100.00 | 79 | 33 | 92 | 89 | 87 | 89 | 95 | 81 | 93 | 78 | 81 | 68 | 84 | 59 | 59 | 56 | 50 | 0 | 0 | 29 | 1 | 5,400,000$ | ||
| 11 | Mason McTavish | X | X | 100.00 | 77 | 30 | 90 | 74 | 87 | 80 | 88 | 76 | 87 | 74 | 77 | 61 | 95 | 36 | 36 | 85 | 50 | 0 | 0 | 21 | 2 | 900,000$ | |||
| 12 | Adam Fantilli (R) | X | X | 100.00 | 84 | 30 | 95 | 90 | 83 | 86 | 83 | 77 | 76 | 73 | 81 | 63 | 84 | 29 | 29 | 89 | 50 | 0 | 0 | 19 | 3 | 900,000$ | |||
| 13 | Darren Raddysh | X | 100.00 | 66 | 26 | 93 | 74 | 85 | 71 | 75 | 42 | 50 | 39 | 43 | 79 | 76 | 60 | 60 | 38 | 50 | 0 | 0 | 28 | 1 | 750,000$ | ||||
| 14 | Erik Cernak | X | 100.00 | 85 | 34 | 60 | 84 | 93 | 98 | 92 | 58 | 58 | 61 | 50 | 87 | 81 | 55 | 47 | 59 | 50 | 0 | 0 | 27 | 1 | 1,300,000$ | ||||
| 15 | Travis Sanheim | X | 98.00 | 74 | 34 | 75 | 88 | 92 | 95 | 99 | 66 | 56 | 67 | 61 | 95 | 80 | 55 | 52 | 64 | 50 | 0 | 0 | 28 | 1 | 3,450,000$ | ||||
| 16 | Mattias Ekholm | X | 100.00 | 80 | 32 | 69 | 65 | 98 | 86 | 97 | 62 | 50 | 62 | 60 | 91 | 71 | 71 | 62 | 38 | 50 | 0 | 0 | 34 | 2 | 1,600,000$ | ||||
| 17 | Connor Clifton | X | 100.00 | 79 | 43 | 59 | 80 | 72 | 89 | 84 | 55 | 51 | 54 | 51 | 89 | 77 | 61 | 51 | 46 | 50 | 0 | 0 | 29 | 1 | 975,000$ | ||||
| 18 | Matt Roy | X | 100.00 | 67 | 32 | 88 | 78 | 87 | 88 | 97 | 62 | 53 | 64 | 56 | 89 | 73 | 62 | 56 | 52 | 50 | 0 | 0 | 29 | 1 | 2,600,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Nicolas Meloche | X | 98.04 | 79 | 37 | 63 | 83 | 93 | 88 | 90 | 55 | 54 | 55 | 54 | 93 | 81 | 51 | 45 | 55 | 50 | 0 | 0 | 26 | 4 | 1,400,000$ | ||||
| Farm Team | |||||||||||||||||||||||||||||
| 1 | Gabriel Bourque | X | X | 100.00 | 61 | 36 | 93 | 72 | 66 | 82 | 87 | 66 | 53 | 66 | 66 | 67 | 79 | 67 | 71 | 29 | 50 | 0 | 0 | 33 | 1 | 500,000$ | |||
| 2 | Alexander True | X | 98.00 | 75 | 35 | 75 | 80 | 97 | 78 | 89 | 70 | 75 | 70 | 68 | 66 | 79 | 49 | 45 | 47 | 50 | 0 | X | 0 | 26 | 1 | 1,050,000$ | |||
| 3 | Wayne Simmonds | X | X | 100.00 | 82 | 40 | 71 | 63 | 83 | 76 | 92 | 65 | 68 | 63 | 68 | 61 | 79 | 81 | 74 | 25 | 50 | 0 | 0 | 35 | 1 | 500,000$ | |||
| 4 | Derek Grant | X | X | X | 98.00 | 66 | 31 | 85 | 59 | 80 | 64 | 81 | 68 | 93 | 68 | 67 | 62 | 82 | 69 | 62 | 29 | 50 | 0 | 0 | 34 | 1 | 500,000$ | ||
| 5 | Christian Fischer | X | X | 100.00 | 76 | 26 | 99 | 78 | 89 | 82 | 98 | 69 | 72 | 68 | 70 | 70 | 79 | 57 | 53 | 57 | 50 | 0 | 0 | 27 | 2 | 925,000$ | |||
| 6 | Devin Setoguchi | X | X | 100.00 | 69 | 34 | 88 | 54 | 73 | 68 | 88 | 67 | 71 | 65 | 68 | 64 | 78 | 93 | 78 | 18 | 50 | 0 | 0 | 37 | 1 | 500,000$ | |||
| 7 | Patrik Berglund | X | X | X | 100.00 | 67 | 31 | 93 | 55 | 73 | 64 | 86 | 67 | 61 | 66 | 68 | 67 | 78 | 87 | 84 | 18 | 50 | 0 | 0 | 36 | 1 | 500,000$ | ||
| 8 | Kevin Labanc | X | 100.00 | 76 | 37 | 92 | 84 | 81 | 90 | 98 | 71 | 76 | 71 | 72 | 52 | 82 | 56 | 49 | 55 | 50 | 0 | 0 | 28 | 2 | 975,000$ | ||||
| 9 | Valeri Nichushkin | X | X | 100.00 | 75 | 30 | 96 | 76 | 92 | 85 | 90 | 73 | 73 | 68 | 73 | 71 | 83 | 60 | 52 | 52 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | |||
| 10 | Dylan Sikura | X | X | X | 100.00 | 61 | 28 | 98 | 84 | 76 | 71 | 85 | 68 | 63 | 67 | 67 | 64 | 76 | 62 | 57 | 40 | 50 | 0 | 0 | 29 | 1 | 875,000$ | ||
| 11 | Jonathan Dahlen | X | X | 100.00 | 64 | 35 | 98 | 90 | 78 | 90 | 93 | 73 | 75 | 72 | 72 | 63 | 80 | 50 | 47 | 66 | 50 | 0 | 0 | 26 | 1 | 1,100,000$ | |||
| 12 | Mike Santorelli | X | X | X | 100.00 | 53 | 27 | 97 | 46 | 73 | 68 | 96 | 64 | 88 | 61 | 65 | 64 | 81 | 78 | 80 | 23 | 50 | 0 | 0 | 38 | 1 | 500,000$ | ||
| 13 | Linus Karlsson (R) | X | X | 98.00 | 71 | 30 | 92 | 67 | 80 | 72 | 99 | 68 | 70 | 66 | 67 | 63 | 70 | 46 | 46 | 58 | 50 | 0 | 0 | 24 | 2 | 500,000$ | |||
| 14 | Dysin Mayo | X | 98.00 | 72 | 32 | 79 | 79 | 88 | 90 | 83 | 53 | 51 | 52 | 52 | 88 | 77 | 54 | 46 | 52 | 50 | 0 | 0 | 27 | 3 | 950,000$ | ||||
| 15 | Tarmo Reunanen (R) | X | 98.00 | 74 | 33 | 77 | 89 | 90 | 84 | 88 | 47 | 55 | 45 | 48 | 79 | 76 | 49 | 44 | 55 | 50 | 0 | 0 | 26 | 2 | 750,000$ | ||||
| 16 | Kevin Gravel | X | 100.00 | 70 | 29 | 70 | 64 | 91 | 71 | 89 | 53 | 50 | 49 | 55 | 83 | 76 | 67 | 64 | 37 | 50 | 0 | 0 | 32 | 1 | 775,000$ | ||||
| 17 | Matt Irwin | X | 100.00 | 60 | 34 | 80 | 52 | 71 | 71 | 96 | 53 | 50 | 49 | 54 | 91 | 55 | 68 | 64 | 27 | 50 | 0 | 0 | 36 | 2 | 500,000$ | ||||
| 18 | Ben Harpur | X | 100.00 | 74 | 49 | 58 | 72 | 95 | 89 | 89 | 46 | 54 | 46 | 52 | 86 | 73 | 53 | 51 | 51 | 50 | 0 | 0 | 29 | 1 | 500,000$ | ||||
| 19 | Lawrence Pilut | X | 100.00 | 67 | 40 | 89 | 87 | 77 | 93 | 88 | 51 | 56 | 49 | 47 | 81 | 75 | 54 | 45 | 54 | 50 | 0 | 0 | 28 | 2 | 825,000$ | ||||
| 20 | Emil Martinsen Lilleberg (R) | X | 100.00 | 85 | 60 | 72 | 75 | 83 | 77 | 99 | 51 | 50 | 57 | 44 | 89 | 70 | 42 | 42 | 77 | 50 | 0 | 0 | 23 | 2 | 500,000$ | ||||
| 21 | Sam Gagner | X | X | X | 100.00 | 63 | 21 | 90 | 62 | 80 | 61 | 85 | 66 | 69 | 65 | 65 | 57 | 78 | 66 | 59 | 25 | 50 | 0 | 0 | 35 | 1 | 500,000$ | ||
| TEAM AVERAGE | 99.65 | 74 | 35 | 83 | 76 | 84 | 82 | 91 | 66 | 67 | 65 | 66 | 72 | 79 | 60 | 57 | 48 | 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 |
| # | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alexandar Georgiyev | 100.00 | 68 | 87 | 89 | 75 | 78 | 90 | 90 | 90 | 91 | 81 | 76 | 55 | 55 | 68 | 50 | 0 | 0 | 28 | 2 | 2,700,000$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Philipp Grubauer | 95.00 | 68 | 77 | 84 | 75 | 74 | 88 | 88 | 87 | 87 | 79 | 77 | 75 | 74 | 54 | 50 | 0 | 0 | 32 | 2 | 500,000$ | |
| Farm Team | |||||||||||||||||||||||
| 1 | Jon Gillies | 100.00 | 63 | 75 | 75 | 84 | 76 | 85 | 85 | 83 | 82 | 78 | 75 | 61 | 61 | 56 | 50 | 0 | 0 | 30 | 1 | 500,000$ | |
| 2 | Nico Daws (R) | 97.00 | 66 | 86 | 80 | 78 | 79 | 87 | 85 | 86 | 86 | 79 | 77 | 37 | 37 | 73 | 50 | 0 | 0 | 23 | 1 | 975,000$ | |
| TEAM AVERAGE | 98.00 | 66 | 81 | 82 | 78 | 77 | 88 | 87 | 87 | 87 | 79 | 76 | 57 | 57 | 63 | 50 | 0 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Gerard Gallant | 86 | 83 | 90 | 87 | 99 | 98 | 75 | CAN | 60 | 1 | 3,500,000$ |
| 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 |
| # | Player Name | Team Name | 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 | Travis Sanheim | Minnesota | D | 80 | 14 | 54 | 68 | 5 | 51 | 5 | 92 | 98 | 179 | 60 | 134 | 7.82% | 172 | 1990 | 24.88 | 6 | 10 | 16 | 63 | 193 | 0 | 3 | 3 | 4 | 232 | 2 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 1 | 0 | 0 | 3 | 1 | 5 |
| 2 | Alexander Wennberg | Minnesota | C/LW/RW | 79 | 24 | 44 | 68 | 13 | 22 | 0 | 76 | 137 | 295 | 86 | 204 | 8.14% | 13 | 1658 | 21.00 | 4 | 16 | 20 | 51 | 181 | 1 | 4 | 5 | 8 | 179 | 4 | 1 | 52.25% | 1422 | 0 | 0 | 0 | 0 | 0.82 | 0 | 3 | 0 | 0 | 0 | 3 | 5 | 6 |
| 3 | Gabriel Landeskog | Minnesota | LW/RW | 79 | 32 | 35 | 67 | 14 | 57 | 5 | 166 | 94 | 276 | 67 | 187 | 11.59% | 17 | 1452 | 18.38 | 4 | 9 | 13 | 52 | 211 | 0 | 0 | 0 | 4 | 92 | 6 | 2 | 43.39% | 348 | 0 | 0 | 0 | 2 | 0.92 | 1 | 4 | 0 | 1 | 0 | 5 | 4 | 4 |
| 4 | Ryan Nugent-Hopkins | Minnesota | C/LW | 80 | 20 | 28 | 48 | 16 | 14 | 0 | 55 | 152 | 180 | 53 | 135 | 11.11% | 13 | 1325 | 16.57 | 1 | 1 | 2 | 18 | 106 | 0 | 0 | 0 | 4 | 182 | 2 | 2 | 49.83% | 1782 | 0 | 0 | 0 | 0 | 0.72 | 0 | 3 | 0 | 0 | 0 | 3 | 3 | 2 |
| 5 | Brady Tkachuk | Minnesota | LW | 78 | 16 | 30 | 46 | 0 | 116 | 30 | 216 | 72 | 193 | 60 | 179 | 8.29% | 7 | 1457 | 18.69 | 5 | 15 | 20 | 37 | 241 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 49.66% | 145 | 0 | 0 | 0 | 0 | 0.63 | 1 | 5 | 1 | 2 | 2 | 2 | 2 | 3 |
| 6 | Jonathan Huberdeau | Minnesota | LW/RW | 80 | 22 | 22 | 44 | 23 | 30 | 0 | 95 | 78 | 192 | 70 | 146 | 11.46% | 6 | 1331 | 16.64 | 1 | 1 | 2 | 25 | 140 | 2 | 0 | 2 | 3 | 91 | 4 | 2 | 38.98% | 118 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 5 |
| 7 | Nicolas Meloche | Minnesota | D | 76 | 15 | 29 | 44 | 14 | 101 | 25 | 133 | 76 | 117 | 43 | 74 | 12.82% | 152 | 1714 | 22.56 | 6 | 1 | 7 | 39 | 175 | 1 | 1 | 2 | 3 | 199 | 3 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 2 | 2 | 1 | 2 | 7 | 1 |
| 8 | Sidney Crosby | Minnesota | C | 80 | 18 | 25 | 43 | -1 | 94 | 20 | 119 | 128 | 149 | 38 | 130 | 12.08% | 7 | 1370 | 17.13 | 6 | 10 | 16 | 32 | 171 | 0 | 0 | 0 | 2 | 61 | 2 | 1 | 56.84% | 1914 | 0 | 0 | 2 | 0 | 0.63 | 2 | 2 | 0 | 1 | 3 | 1 | 1 | 4 |
| 9 | Danton Heinen | Minnesota | C/LW/RW | 77 | 17 | 19 | 36 | 4 | 65 | 15 | 84 | 73 | 181 | 54 | 114 | 9.39% | 9 | 1216 | 15.80 | 2 | 4 | 6 | 17 | 106 | 1 | 0 | 1 | 6 | 126 | 3 | 0 | 45.53% | 347 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | 1 | 2 | 0 | 1 | 3 | 2 |
| 10 | Matt Roy | Minnesota | D | 80 | 8 | 27 | 35 | 1 | 10 | 0 | 25 | 60 | 105 | 33 | 63 | 7.62% | 103 | 1501 | 18.77 | 2 | 4 | 6 | 36 | 126 | 0 | 1 | 1 | 2 | 118 | 2 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 11 | Nino Niederreiter | Minnesota | LW/RW | 75 | 10 | 24 | 34 | 23 | 16 | 0 | 64 | 40 | 142 | 35 | 91 | 7.04% | 5 | 1005 | 13.41 | 0 | 2 | 2 | 17 | 81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.06% | 94 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 |
| 12 | Mattias Ekholm | Minnesota | D | 70 | 11 | 23 | 34 | 15 | 34 | 0 | 74 | 41 | 80 | 32 | 43 | 13.75% | 102 | 1146 | 16.38 | 3 | 5 | 8 | 28 | 110 | 0 | 0 | 0 | 0 | 104 | 2 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 |
| 13 | Erik Cernak | Minnesota | D | 77 | 11 | 19 | 30 | -6 | 95 | 5 | 163 | 73 | 108 | 35 | 71 | 10.19% | 109 | 1603 | 20.82 | 7 | 5 | 12 | 54 | 162 | 0 | 0 | 0 | 0 | 178 | 1 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 |
| 14 | John Peterka | Minnesota | C/LW/RW | 80 | 8 | 21 | 29 | -7 | 27 | 5 | 50 | 53 | 184 | 40 | 135 | 4.35% | 5 | 1191 | 14.90 | 0 | 5 | 5 | 21 | 109 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 39.47% | 114 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| 15 | Adam Fantilli | Minnesota | C/LW | 76 | 12 | 13 | 25 | -12 | 14 | 0 | 66 | 63 | 124 | 36 | 88 | 9.68% | 11 | 920 | 12.11 | 1 | 2 | 3 | 12 | 54 | 0 | 1 | 1 | 4 | 58 | 1 | 0 | 44.79% | 710 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| 16 | Ondrej Kase | Minnesota | RW | 80 | 12 | 8 | 20 | 2 | 20 | 0 | 39 | 45 | 96 | 29 | 77 | 12.50% | 11 | 842 | 10.54 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 1 | 5 | 51 | 3 | 0 | 39.47% | 76 | 0 | 0 | 0 | 0 | 0.47 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 |
| 17 | Connor Clifton | Minnesota | D | 48 | 2 | 10 | 12 | -4 | 40 | 0 | 94 | 35 | 55 | 19 | 31 | 3.64% | 61 | 831 | 17.33 | 1 | 0 | 1 | 11 | 42 | 0 | 1 | 1 | 1 | 53 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Mason McTavish | Minnesota | C/LW | 80 | 7 | 5 | 12 | -23 | 28 | 0 | 57 | 44 | 81 | 46 | 77 | 8.64% | 5 | 965 | 12.07 | 1 | 1 | 2 | 9 | 113 | 0 | 1 | 1 | 0 | 14 | 1 | 0 | 47.92% | 96 | 0 | 0 | 0 | 0 | 0.25 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 19 | Emil Martinsen Lilleberg | Iowa (MIN) | D | 48 | 2 | 7 | 9 | 11 | 24 | 0 | 72 | 16 | 17 | 6 | 12 | 11.76% | 34 | 549 | 11.45 | 0 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 20 | Dysin Mayo | Iowa (MIN) | D | 20 | 1 | 3 | 4 | 10 | 4 | 0 | 9 | 7 | 11 | 9 | 14 | 9.09% | 20 | 347 | 17.37 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 56 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 21 | Christian Fischer | Iowa (MIN) | LW/RW | 16 | 1 | 1 | 2 | 0 | 2 | 0 | 0 | 1 | 1 | 1 | 3 | 100.00% | 0 | 26 | 1.65 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 37.50% | 16 | 0 | 0 | 0 | 0 | 1.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 22 | Valeri Nichushkin | Iowa (MIN) | LW/RW | 35 | 1 | 1 | 2 | -1 | 0 | 0 | 7 | 9 | 21 | 6 | 10 | 4.76% | 3 | 156 | 4.46 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 119 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 23 | Darren Raddysh | Minnesota | D | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0% | 4 | 48 | 16.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 24 | Jonathan Dahlen | Iowa (MIN) | LW/RW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 12 | 2.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Team Total or Average | 1503 | 264 | 449 | 713 | 95 | 864 | 110 | 1756 | 1395 | 2789 | 858 | 2019 | 9.47% | 869 | 24666 | 16.41 | 51 | 92 | 143 | 525 | 2346 | 7 | 12 | 19 | 47 | 1877 | 41 | 14 | 50.52% | 7302 | 0 | 0 | 2 | 2 | 0.58 | 4 | 21 | 5 | 8 | 6 | 30 | 38 | 41 | |||
| 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 |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alexandar Georgiyev | Minnesota | 51 | 28 | 21 | 1 | 0.921 | 2.79 | 3008 | 8 | 2 | 140 | 1780 | 0 | 2 | 0 | 0 | 0 | 50 | 30 | 6 | 6 | 2 |
| 2 | Philipp Grubauer | Minnesota | 24 | 10 | 8 | 3 | 0.910 | 3.26 | 1272 | 4 | 0 | 69 | 766 | 0 | 0 | 0 | 0 | 0 | 20 | 60 | 2 | 0 | 1 |
| Team Total or Average | 75 | 38 | 29 | 4 | 0.918 | 2.93 | 4280 | 12 | 2 | 209 | 2546 | 0 | 2 | 0 | 0 | 70 | 90 | 8 | 6 | 3 | |||
| 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 |
| Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Fantilli | Minnesota | C/LW | 19 | 2004-10-12 | CAN | Yes | 194 Lbs | 6 ft2 | No | No | Prospect | No | No | 3 | 2025-10-15 | False | False | Pro & Farm | 900,000$ | 54,000$ | 900,000$ | 54,000$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Alexandar Georgiyev (1 Way Contract) | Minnesota | G | 28 | 1996-02-10 | RUS | No | 186 Lbs | 6 ft1 | No | No | Trade | 2025-07-17 | Yes | Yes | 2 | 2025-09-11 | False | False | Pro & Farm | 2,700,000$ | 162,000$ | 2,700,000$ | 162,000$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 2,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
| Alexander Wennberg (1 Way Contract) | Minnesota | C/LW/RW | 29 | 1994-09-22 | SWE | No | 200 Lbs | 6 ft2 | No | No | Trade | 2025-01-13 | Yes | Yes | 1 | 2024-09-16 | False | False | Pro & Farm | 5,400,000$ | 324,000$ | 5,400,000$ | 324,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Brady Tkachuk (1 Way Contract) | Minnesota | LW | 24 | 1999-09-16 | USA | No | 204 Lbs | 6 ft5 | No | No | Trade | 2026-04-02 | Yes | Yes | 2 | 2025-09-09 | False | False | Pro & Farm | 4,400,000$ | 264,000$ | 4,400,000$ | 264,000$ | No | 4,400,000$ | - | - | - | - | - | - | - | - | 4,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Connor Clifton | Minnesota | D | 29 | 1995-04-28 | USA | No | 176 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2024-09-15 | False | False | Pro & Farm | 975,000$ | 58,500$ | 975,000$ | 58,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Danton Heinen (1 Way Contract) | Minnesota | C/LW/RW | 28 | 1995-07-05 | CAN | No | 194 Lbs | 6 ft1 | No | No | Trade | 2025-03-23 | Yes | Yes | 1 | 2024-12-24 | False | False | Pro & Farm | 5,227,500$ | 313,650$ | 5,227,500$ | 313,650$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Darren Raddysh | Minnesota | D | 28 | 1996-02-28 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 45,000$ | 750,000$ | 45,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Erik Cernak (1 Way Contract) | Minnesota | D | 27 | 1997-05-28 | CZE | No | 228 Lbs | 6 ft4 | No | No | N/A | Yes | Yes | 1 | False | False | Pro & Farm | 1,300,000$ | 78,000$ | 1,300,000$ | 78,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Gabriel Landeskog (1 Way Contract) | Minnesota | LW/RW | 31 | 1992-11-23 | SWE | No | 210 Lbs | 6 ft1 | No | No | Trade | 2026-03-12 | Yes | Yes | 2 | 2026-03-12 | False | False | Pro & Farm | 4,725,000$ | 283,500$ | 4,725,000$ | 283,500$ | No | 4,725,000$ | - | - | - | - | - | - | - | - | 4,725,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
| John Peterka | Minnesota | C/LW/RW | 22 | 2002-01-14 | DEU | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 900,000$ | 54,000$ | 900,000$ | 54,000$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Jonathan Huberdeau (1 Way Contract) | Minnesota | LW/RW | 31 | 1993-06-04 | CAN | No | 190 Lbs | 6 ft2 | No | No | Trade | 2024-10-03 | Yes | Yes | 1 | False | False | Pro & Farm | 5,800,000$ | 348,000$ | 5,800,000$ | 348,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Mason McTavish | Minnesota | C/LW | 21 | 2003-01-30 | CAN | No | 213 Lbs | 6 ft0 | No | No | Prospect | No | No | 2 | 2024-10-08 | False | False | Pro & Farm | 900,000$ | 54,000$ | 900,000$ | 54,000$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Matt Roy (1 Way Contract) | Minnesota | D | 29 | 1995-03-01 | USA | No | 206 Lbs | 6 ft1 | No | No | Trade | 2025-01-13 | Yes | Yes | 1 | 2025-09-11 | False | False | Pro & Farm | 2,600,000$ | 156,000$ | 2,600,000$ | 156,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Mattias Ekholm (1 Way Contract) | Minnesota | D | 34 | 1990-05-24 | SWE | No | 209 Lbs | 6 ft4 | No | No | Trade | 2025-12-06 | Yes | Yes | 2 | 2024-09-21 | False | False | Pro & Farm | 1,600,000$ | 96,000$ | 1,600,000$ | 96,000$ | No | 1,600,000$ | - | - | - | - | - | - | - | - | 1,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Nicolas Meloche (1 Way Contract) | Minnesota | D | 26 | 1997-07-18 | CAN | No | 205 Lbs | 6 ft3 | No | No | Trade | 2025-07-25 | Yes | Yes | 4 | 2025-09-11 | False | False | Pro & Farm | 1,400,000$ | 84,000$ | 1,400,000$ | 84,000$ | No | 1,400,000$ | 1,400,000$ | 1,400,000$ | - | - | - | - | - | - | 1,400,000$ | 1,400,000$ | 1,400,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link |
| Nino Niederreiter (1 Way Contract) | Minnesota | LW/RW | 31 | 1992-09-08 | SWI | No | 220 Lbs | 6 ft2 | No | No | N/A | Yes | Yes | 1 | False | False | Pro & Farm | 4,950,000$ | 297,000$ | 4,950,000$ | 297,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Ondrej Kase (1 Way Contract) | Minnesota | RW | 28 | 1995-11-08 | CZE | No | 190 Lbs | 5 ft11 | No | No | Trade | 2025-03-23 | Yes | Yes | 2 | 2025-10-01 | False | False | Pro & Farm | 1,300,000$ | 78,000$ | 1,300,000$ | 78,000$ | No | 1,300,000$ | - | - | - | - | - | - | - | - | 1,300,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
| Philipp Grubauer (1 Way Contract) | Minnesota | G | 32 | 1991-11-25 | GER | No | 189 Lbs | 6 ft1 | No | No | Trade | 2026-04-12 | Yes | Yes | 2 | 2025-10-08 | False | False | Pro & Farm | 500,000$ | 30,000$ | 500,000$ | 30,000$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Ryan Nugent-Hopkins (1 Way Contract) | Minnesota | C/LW | 31 | 1993-01-01 | CAN | No | 188 Lbs | 6 ft3 | No | No | Trade | 2025-07-17 | Yes | Yes | 2 | False | False | Pro & Farm | 5,300,000$ | 318,000$ | 5,300,000$ | 318,000$ | No | 5,300,000$ | - | - | - | - | - | - | - | - | 5,300,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Sidney Crosby (1 Way Contract) | Minnesota | C | 36 | 1987-08-07 | CAN | No | 220 Lbs | 5 ft11 | No | No | Trade | 2026-04-12 | Yes | Yes | 2 | 2025-09-12 | False | False | Pro & Farm | 4,911,200$ | 294,672$ | 4,911,200$ | 294,672$ | No | 4,911,200$ | - | - | - | - | - | - | - | - | 4,911,200$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Travis Sanheim (1 Way Contract) | Minnesota | D | 28 | 1996-03-29 | USA | No | 186 Lbs | 6 ft3 | No | No | Trade | 2025-09-26 | Yes | Yes | 1 | False | False | Pro & Farm | 3,450,000$ | 207,000$ | 3,450,000$ | 207,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 21 | 28.19 | 200 Lbs | 6 ft2 | 1.71 | 2,856,605$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 59,988,700$ | 29,536,200$ | 2,300,000$ | 1,400,000$ | 0$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Brady Tkachuk | Alexander Wennberg | Gabriel Landeskog | 30 | 0 | 1 | 4 |
| 2 | Jonathan Huberdeau | Sidney Crosby | Nino Niederreiter | 25 | 0 | 1 | 4 |
| 3 | Mason McTavish | Adam Fantilli | John Peterka | 25 | 0 | 1 | 4 |
| 4 | Danton Heinen | Ryan Nugent-Hopkins | Ondrej Kase | 20 | 0 | 1 | 4 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Travis Sanheim | Mattias Ekholm | 35 | 0 | 1 | 4 | |
| 2 | Darren Raddysh | Erik Cernak | 30 | 0 | 1 | 4 | |
| 3 | Matt Roy | Connor Clifton | 25 | 0 | 1 | 4 | |
| 4 | Travis Sanheim | Connor Clifton | 10 | 0 | 1 | 4 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Brady Tkachuk | Alexander Wennberg | Gabriel Landeskog | 50 | 0 | 0 | 5 |
| 2 | Mason McTavish | Adam Fantilli | John Peterka | 50 | 0 | 0 | 5 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Travis Sanheim | Connor Clifton | 50 | 0 | 0 | 5 | |
| 2 | Mattias Ekholm | Erik Cernak | 50 | 0 | 0 | 5 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Sidney Crosby | Alexander Wennberg | 50 | 0 | 5 | 0 |
| 2 | Ryan Nugent-Hopkins | Gabriel Landeskog | 50 | 0 | 5 | 0 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Travis Sanheim | Mattias Ekholm | 50 | 0 | 5 | 0 |
| 2 | Connor Clifton | Erik Cernak | 50 | 0 | 5 | 0 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Sidney Crosby | 50 | 0 | 5 | 0 | Travis Sanheim | Mattias Ekholm | 50 | 0 | 5 | 0 |
| 2 | Gabriel Landeskog | 50 | 0 | 5 | 0 | Connor Clifton | Erik Cernak | 50 | 0 | 5 | 0 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Gabriel Landeskog | Danton Heinen | 50 | 0 | 1 | 4 |
| 2 | Sidney Crosby | Ryan Nugent-Hopkins | 50 | 0 | 1 | 4 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Travis Sanheim | Connor Clifton | 50 | 0 | 1 | 4 |
| 2 | Mattias Ekholm | Erik Cernak | 50 | 0 | 1 | 4 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Brady Tkachuk | Alexander Wennberg | Gabriel Landeskog | Travis Sanheim | Connor Clifton |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Gabriel Landeskog | Sidney Crosby | Alexander Wennberg | Travis Sanheim | Connor Clifton |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Ryan Nugent-Hopkins, Danton Heinen, Adam Fantilli | Ryan Nugent-Hopkins, Danton Heinen | Adam Fantilli |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Matt Roy, Mattias Ekholm, Travis Sanheim | Matt Roy | Connor Clifton, Travis Sanheim |
| Penalty Shots |
|---|
| Gabriel Landeskog, Brady Tkachuk, Alexander Wennberg, Ryan Nugent-Hopkins, Jonathan Huberdeau |
| Goalie |
|---|
| #1 : , #2 : Alexandar Georgiyev |
| Custom OT Lines Forwards |
|---|
| Gabriel Landeskog, Brady Tkachuk, Alexander Wennberg, Ryan Nugent-Hopkins, Jonathan Huberdeau, Sidney Crosby, Nino Niederreiter, Danton Heinen, Adam Fantilli, John Peterka |
| Custom OT Lines Defensemen |
|---|
| Travis Sanheim, Connor Clifton, Mattias Ekholm, Erik Cernak, Matt Roy |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| # | VS Team | 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 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 6 | 0.750 | 15 | 28 | 43 | 0 | 0 | 4 | 6 | 5 | 0 | 135 | 44 | 47 | 44 | 0 | 140 | 44 | 36 | 68 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 85 | 59 | 103 | 30 | 50 | 23 |
| 2 | Boston | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 1 | 6 | 3 | 0 | 78 | 20 | 25 | 33 | 0 | 66 | 22 | 27 | 37 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 2 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 49 | 34 | 47 | 14 | 23 | 11 |
| 3 | Buffalo | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 19 | 3 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 6 | 0.600 | 22 | 37 | 59 | 0 | 0 | 6 | 11 | 5 | 0 | 173 | 59 | 64 | 50 | 0 | 213 | 53 | 26 | 85 | 13 | 3 | 23.08% | 13 | 4 | 69.23% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 109 | 75 | 127 | 37 | 63 | 31 |
| 4 | Chicago | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.250 | 8 | 13 | 21 | 0 | 0 | 4 | 4 | 0 | 0 | 136 | 39 | 49 | 48 | 0 | 152 | 39 | 37 | 58 | 8 | 0 | 0.00% | 14 | 3 | 78.57% | 1 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 90 | 61 | 98 | 28 | 51 | 25 |
| 5 | Colorado | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 13 | -1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 6 | 0.600 | 12 | 23 | 35 | 0 | 0 | 4 | 4 | 3 | 1 | 191 | 60 | 60 | 67 | 4 | 188 | 62 | 41 | 86 | 19 | 4 | 21.05% | 18 | 3 | 83.33% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 111 | 75 | 127 | 39 | 62 | 30 |
| 6 | Columbus | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 65 | 34 | 19 | 12 | 0 | 78 | 27 | 39 | 45 | 5 | 1 | 20.00% | 12 | 4 | 66.67% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 41 | 27 | 54 | 15 | 24 | 11 |
| 7 | Dallas | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 24 | 23 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 9 | -2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 7 | 0.583 | 24 | 45 | 69 | 0 | 0 | 7 | 12 | 5 | 0 | 233 | 70 | 79 | 78 | 12 | 242 | 64 | 60 | 119 | 20 | 6 | 30.00% | 24 | 3 | 87.50% | 1 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 142 | 100 | 148 | 42 | 73 | 36 |
| 8 | Detroit | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 3 | 3 | 1 | 87 | 27 | 26 | 31 | 3 | 61 | 20 | 15 | 27 | 10 | 3 | 30.00% | 5 | 0 | 100.00% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 51 | 36 | 43 | 14 | 25 | 13 |
| 9 | Edmonton | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 13 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 4 | 0.500 | 14 | 26 | 40 | 0 | 1 | 6 | 6 | 2 | 0 | 149 | 48 | 59 | 42 | 0 | 142 | 41 | 33 | 82 | 13 | 4 | 30.77% | 13 | 6 | 53.85% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 92 | 64 | 96 | 29 | 51 | 24 |
| 10 | Floride | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 1 | 2 | 2 | 0 | 51 | 13 | 12 | 26 | 0 | 101 | 25 | 16 | 36 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 43 | 29 | 50 | 14 | 25 | 12 |
| 11 | Los Angeles | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 10 | 8 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 6 | 0.750 | 10 | 17 | 27 | 0 | 1 | 6 | 0 | 4 | 0 | 125 | 42 | 44 | 38 | 5 | 114 | 31 | 28 | 55 | 8 | 1 | 12.50% | 14 | 1 | 92.86% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 96 | 66 | 98 | 30 | 52 | 25 |
| 12 | Montreal | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 3 | 4 | 1 | 0 | 85 | 29 | 24 | 28 | 7 | 81 | 30 | 14 | 41 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 47 | 32 | 49 | 14 | 27 | 13 |
| 13 | NYIslanders | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 64 | 12 | 25 | 25 | 2 | 55 | 13 | 20 | 41 | 3 | 1 | 33.33% | 9 | 1 | 88.89% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 46 | 31 | 47 | 14 | 27 | 13 |
| 14 | NYRangers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 1 | 5 | 6 | 0 | 69 | 21 | 25 | 23 | 0 | 59 | 18 | 14 | 37 | 7 | 3 | 42.86% | 7 | 0 | 100.00% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 42 | 29 | 54 | 15 | 23 | 10 |
| 15 | New Jersey | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 50 | 27 | 14 | 9 | 0 | 76 | 27 | 18 | 41 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 43 | 30 | 51 | 14 | 24 | 12 |
| 16 | Philadelphie | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 8 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 3 | 0.750 | 11 | 21 | 32 | 0 | 0 | 2 | 4 | 5 | 0 | 72 | 19 | 25 | 28 | 0 | 74 | 24 | 19 | 29 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 45 | 33 | 52 | 13 | 23 | 11 |
| 17 | Pittsburgh | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 42 | 20 | 14 | 8 | 0 | 24 | 6 | 6 | 20 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 28 | 20 | 19 | 7 | 12 | 6 |
| 18 | San Jose | 5 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 11 | 16 | -5 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.200 | 11 | 21 | 32 | 0 | 0 | 4 | 2 | 4 | 1 | 168 | 54 | 60 | 52 | 2 | 183 | 47 | 67 | 114 | 14 | 0 | 0.00% | 20 | 2 | 90.00% | 1 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 110 | 77 | 132 | 36 | 59 | 27 |
| 19 | Seattle | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 4 | 0.400 | 12 | 23 | 35 | 0 | 0 | 4 | 3 | 5 | 0 | 148 | 67 | 41 | 40 | 0 | 151 | 59 | 64 | 92 | 12 | 3 | 25.00% | 22 | 4 | 81.82% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 109 | 74 | 126 | 38 | 63 | 29 |
| 20 | St. Louis | 6 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 15 | 18 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 11 | -3 | 5 | 0.417 | 15 | 27 | 42 | 0 | 0 | 4 | 3 | 8 | 0 | 162 | 48 | 44 | 70 | 0 | 223 | 54 | 55 | 107 | 20 | 2 | 10.00% | 23 | 4 | 82.61% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 132 | 90 | 155 | 45 | 72 | 34 |
| 21 | Tampa Bay | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 7 | 10 | 17 | 0 | 0 | 3 | 1 | 3 | 0 | 81 | 26 | 30 | 25 | 0 | 77 | 20 | 26 | 58 | 11 | 1 | 9.09% | 11 | 4 | 63.64% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 47 | 34 | 49 | 13 | 23 | 11 |
| 22 | Vancouver | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 14 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 5 | 0.625 | 15 | 26 | 41 | 0 | 0 | 4 | 4 | 7 | 0 | 134 | 37 | 39 | 50 | 8 | 144 | 48 | 24 | 56 | 11 | 4 | 36.36% | 11 | 3 | 72.73% | 1 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 87 | 60 | 107 | 28 | 49 | 24 |
| 23 | Washington | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 65 | 23 | 15 | 27 | 0 | 68 | 23 | 10 | 35 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 45 | 30 | 49 | 15 | 25 | 11 |
| 24 | Winnipeg | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 17 | 14 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 13 | 10 | 3 | 6 | 0.600 | 17 | 29 | 46 | 0 | 0 | 8 | 5 | 4 | 0 | 165 | 69 | 52 | 40 | 7 | 194 | 52 | 28 | 90 | 9 | 1 | 11.11% | 14 | 3 | 78.57% | 0 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 116 | 81 | 127 | 37 | 66 | 30 |
| Total | 80 | 33 | 34 | 0 | 4 | 5 | 0 | 4 | 253 | 250 | 3 | 39 | 17 | 16 | 0 | 3 | 1 | 0 | 2 | 128 | 105 | 23 | 41 | 16 | 18 | 0 | 1 | 4 | 0 | 2 | 125 | 145 | -20 | 83 | 0.519 | 253 | 448 | 701 | 0 | 2 | 80 | 91 | 78 | 4 | 2728 | 908 | 892 | 894 | 50 | 2906 | 849 | 723 | 1459 | 230 | 43 | 18.70% | 291 | 58 | 80.07% | 7 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 1816 | 1256 | 2019 | 593 | 1003 | 483 | |
| _Since Last GM Reset | 80 | 33 | 34 | 0 | 4 | 5 | 0 | 4 | 253 | 250 | 3 | 39 | 17 | 16 | 0 | 3 | 1 | 0 | 2 | 128 | 105 | 23 | 41 | 16 | 18 | 0 | 1 | 4 | 0 | 2 | 125 | 145 | -20 | 83 | 0.519 | 253 | 448 | 701 | 0 | 2 | 80 | 91 | 78 | 4 | 2728 | 908 | 892 | 894 | 50 | 2906 | 849 | 723 | 1459 | 230 | 43 | 18.70% | 291 | 58 | 80.07% | 7 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 1816 | 1256 | 2019 | 593 | 1003 | 483 | |
| _Vs Conference | 52 | 21 | 22 | 0 | 2 | 4 | 0 | 3 | 153 | 162 | -9 | 24 | 10 | 10 | 0 | 2 | 1 | 0 | 1 | 69 | 61 | 8 | 28 | 11 | 12 | 0 | 0 | 3 | 0 | 2 | 84 | 101 | -17 | 53 | 0.510 | 153 | 278 | 431 | 0 | 2 | 55 | 49 | 47 | 2 | 1746 | 578 | 574 | 569 | 38 | 1873 | 541 | 473 | 927 | 143 | 27 | 18.88% | 190 | 37 | 80.53% | 4 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 1173 | 810 | 1322 | 386 | 653 | 312 | |
| _Vs Division | 26 | 10 | 11 | 0 | 1 | 2 | 0 | 2 | 76 | 82 | -6 | 11 | 3 | 6 | 0 | 1 | 0 | 0 | 1 | 29 | 33 | -4 | 15 | 7 | 5 | 0 | 0 | 2 | 0 | 1 | 47 | 49 | -2 | 26 | 0.500 | 76 | 137 | 213 | 0 | 0 | 27 | 28 | 20 | 1 | 887 | 286 | 284 | 303 | 23 | 999 | 271 | 221 | 460 | 76 | 13 | 17.11% | 93 | 16 | 82.80% | 2 | 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% | 592 | 408 | 657 | 193 | 326 | 157 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 80 | 83 | OTL1 | 253 | 448 | 701 | 2728 | 2906 | 849 | 723 | 1459 | 0 | 2 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 80 | 33 | 34 | 4 | 5 | 0 | 4 | 253 | 250 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 39 | 17 | 16 | 3 | 1 | 0 | 2 | 128 | 105 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 41 | 16 | 18 | 1 | 4 | 0 | 2 | 125 | 145 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 5 | 4 | 0 | 1 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 230 | 43 | 18.70% | 291 | 58 | 80.07% | 7 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 908 | 892 | 894 | 50 | 80 | 91 | 78 | 4 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 1475 | 2884 | 51.14% | 1608 | 3205 | 50.17% | 640 | 1270 | 50.39% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 1816 | 1256 | 2019 | 593 | 1003 | 483 |
| 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) |
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| 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. |
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| 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 |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6000 | 5000 | 2720 | 5480 | 1000 |
| Ticket Price | 80 | 60 | 50 | 30 | 175 |
| Attendance | 234,000 | 195,000 | 75,550 | 190,453 | 39,000 |
| Attendance PCT | 100.00% | 100.00% | 71.22% | 89.11% | 100.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 2 | 18821 - 93.17% | 1,490,196$ | 58,117,632$ | 20200 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 58,767,188$ | 60,488,700$ | 59,993,700$ | 3,500,000$0$ | 6,550,000$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 299,968$ | 54,621,706$ | 0$ | 22 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,980,391$ | 12 | 319,944$ | 3,839,328$ |
| Team Total Estimate | ||
|---|---|---|
| Estimated Season Expenses | Current Bank Account | Projected Bank Account |
| 3,967,484$ | 7,289,203$ | 6,427,826$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 64,771,322$ | 228,678$ | 65,000,000$ | 24,771,322$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
|---|---|---|---|---|---|---|
| Antoine Morand | Minnesota | 16 | 74 | |||
| Artemi Kniazev | Minnesota | 18 | 67 | 2024-10-09 | ||
| Curtis Douglas | Minnesota | 17 | 134 | |||
| Daniil Chechelev | Minnesota | 19 | 134 | |||
| Danil Zhilkin | Minnesota | 21 | 112 | |||
| Dylan Garand | Minnesota | 19 | 164 | |||
| Emil Andrae | Minnesota | 19 | 70 | |||
| Ethan Gauthier | Minnesota | 22 | 47 | |||
| Filip Berglund | Minnesota | 15 | 133 | |||
| Hugo Alnefelt | Minnesota | 18 | 110 | 2025-08-11 | ||
| Hunter Haight | Minnesota | 21 | 73 | 2025-01-15 | ||
| Jacob Melanson | Minnesota | 20 | 122 | |||
| Jalen Luypen | Minnesota | 20 | 121 | |||
| Jayden Perron | Minnesota | 22 | 57 | 2025-01-13 | ||
| Joshua Roy | Minnesota | 20 | 39 | 2025-09-26 | ||
| Kirill Dolzhenkov | Minnesota | 21 | 127 | |||
| Kristian Vesalainen | Minnesota | 16 | 20 | 2025-08-11 | ||
| Liam Ohgren | Minnesota | 21 | 25 | |||
| Logan Hutsko* | Minnesota | 16 | 92 | |||
| Matthew Robertson | Minnesota | 18 | 64 | |||
| Michael Hage | Minnesota | 23 | 3 | |||
| Oliver Wahlstrom | Minnesota | 17 | 16 | 2025-08-24 | ||
| Riley Kidney | Minnesota | 20 | 57 | |||
| Ryan O'Rourke | Minnesota | 19 | 38 | |||
| Simon Forsmark | Minnesota | 21 | 114 | |||
| Stiven Sardarian | Minnesota | 20 | 128 | |||
| Ty Smith | Minnesota | 17 | 18 | |||
| William Wallinder | Minnesota | 19 | 42 | |||
| Yan Kuznetsov | Minnesota | 19 | 68 | |||
| Zachary Bolduc | Minnesota | 20 | 24 |
| Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 24 | | | | ||||
| 25 | | | | | |||
| 26 | | | | | | | |
| 27 | | | | | | | |
| 28 | | | | | | | |
| Conditional Draft Picks | |||||||
| # | Player Name | 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 |
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| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | 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 |
| # | Player Name | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|