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Providence
GP: 80 | W: 48 | L: 26 | OTL: 6 | P: 102
GF: 277 | GA: 239 | PP%: 18.13% | PK%: 79.04%
DG: Richard Gadbois | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #1011 vs Lehigh Valley

Centre de jeu
Providence
48-26-6, 102pts
7
1 Springfield
37-36-6, 80pts
Team Stats
SOL1SéquenceL3
28-9-3Fiche domicile17-20-3
20-17-3Fiche domicile20-16-3
4-4-2Derniers 10 matchs1-9-0
3.46Buts par match 3.32
2.99Buts contre par match 3.72
18.13%Pourcentage en avantage numérique19.93%
79.04%Pourcentage en désavantage numérique79.77%
Providence
48-26-6, 102pts
3
4 Grand Rapids
37-39-5, 79pts
Team Stats
SOL1SéquenceW3
28-9-3Fiche domicile20-17-3
20-17-3Fiche domicile17-22-2
4-4-2Derniers 10 matchs4-6-0
3.46Buts par match 3.11
2.99Buts contre par match 3.33
18.13%Pourcentage en avantage numérique21.74%
79.04%Pourcentage en désavantage numérique83.62%
Lehigh Valley
46-26-6, 98pts
Jour 192
Providence
48-26-6, 102pts
Statistiques d’équipe
W1SéquenceSOL1
24-11-5Fiche domicile28-9-3
22-15-1Fiche visiteur20-17-3
3-6-110 derniers matchs4-4-2
3.36Buts par match 3.46
2.73Buts contre par match 3.46
19.28%Pourcentage en avantage numérique18.13%
83.33%Pourcentage en désavantage numérique79.04%
Providence
48-26-6, 102pts
Jour 194
Wilkes-Barre/Scranton
47-29-5, 99pts
Statistiques d’équipe
SOL1SéquenceL1
28-9-3Fiche domicile24-15-1
20-17-3Fiche visiteur23-14-4
4-4-210 derniers matchs7-2-1
3.46Buts par match 3.51
2.99Buts contre par match 3.51
18.13%Pourcentage en avantage numérique20.61%
79.04%Pourcentage en désavantage numérique80.87%
Meneurs d'équipe
Buts
Joonas Donskoi
36
Evan RodriguesPasses
Evan Rodrigues
45
Evan RodriguesPoints
Evan Rodrigues
72
Plus/Moins
Joonas Donskoi
25
Victoires
Malcom Subban
24
Pourcentage d’arrêts
Braden Holtby
0.916

Statistiques d’équipe
Buts pour
277
3.46 GFG
Tirs pour
3233
40.41 Avg
Pourcentage en avantage numérique
18.1%
64 GF
Début de zone offensive
43.2%
Buts contre
239
2.99 GAA
Tirs contre
2707
33.84 Avg
Pourcentage en désavantage numérique
79.0%%
61 GA
Début de la zone défensive
39.5%
Informations de l'équipe

Directeur généralRichard Gadbois
EntraîneurLuke Richardson
DivisionNord
ConférenceConference est
CapitaineAnthony Mantha
Assistant #1Evan Rodrigues
Assistant #2Colin Blackwell


Informations de l’aréna

Capacité3,000
Assistance2,210
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs15


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Charlie CoyleXX100.00743090748984997072687160827357435000321700,000$
2Joonas DonskoiXX98.006627917680799772706974647971713350003211,200,000$
3Austin WagnerXX100.00763196908177907276717558815047485000271750,000$
4Dmitrij JaskinXX100.006931857484749072716770637359614050003121,050,000$
5Joshua LeivoXX100.006129977483778975716773658466534250003131,640,000$
6Chris KreiderX97.008235897189859670716775707876786550003312,200,000$
7Colin Blackwell (A)XXX96.007029867269748374827173677668643150003131,300,000$
8Anthony Mantha (C)XX100.00723988839494886874667257825953595000291825,000$
9Nick BjugstadXXX97.006729927086807774997171608870624250003121,050,000$
10T.J. GaliardiXXX99.006828925875717971676769697489761750003611,200,000$
11Nikita TryamkinX98.007130637293809956555554857956484150002911,350,000$
12Erik GustafssonX100.006831747177878857505753896769663150003232,000,000$
13Brent SeabrookX100.00593080407967975531534989739998145000391850,000$
14Nathan BeaulieuX100.00743261718474704950484183756864295000311500,000$
15Connor MurphyX98.00852577698987875070564492757474335000313500,000$
16Radim SimekX100.00763072718076825150495290756965355000311900,000$
17Egor Zamula (R)X100.00732780778885995572555586774645735000241600,000$
18Jake McCabeX100.00653682769293884653454589686269515000304925,000$
Rayé
1Michael ChaputXX100.00582582658569936687656360686456215000322502,000$
2Boo NievesXXX100.00622993738770876771666560805861425000302750,000$
3Melker KarlssonXX100.00662888676370847071666961776663335000331950,000$
4Evan Rodrigues (A)XXX97.008830887679819974817375638474743850003031,651,000$
MOYENNE D’ÉQUIPE99.0970308471837989646862637277686439500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Braden Holtby100.0060868681708586858581838280375000343600,000$
2Malcom Subban99.00678280797486868886818864646050003031,150,000$
Rayé
MOYENNE D’ÉQUIPE99.506484838072868687868186737249500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson87827981909978CAN5321,500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Evan RodriguesProvidence (BOS)C/LW/RW732745721372102181832647021610.23%10162022.201013236024910141971052.88%237700020.89020021054
2Joonas DonskoiProvidence (BOS)LW/RW803631672514060883228221311.18%7161220.1694137829300051548354.17%26400010.8302000454
3Nick BjugstadProvidence (BOS)C/LW/RW763034641023541842485015612.10%7156020.53713204026000031587159.25%87600000.8212100256
4Austin WagnerProvidence (BOS)LW/RW722537622571510685316701857.91%4129518.0051924762700000422238.79%11600010.9600003613
5Colin BlackwellProvidence (BOS)C/LW/RW69243155-114076107246712049.76%12149221.63710175223910181889159.62%83200000.7412000093
6Nikita TryamkinProvidence (BOS)D7611415211100109188186461005.91%87170122.39313161092660000192110%000100.6100011401
7Connor MurphyProvidence (BOS)D5911405122680976612741618.66%101145024.5881321681980221150110%000000.7000000024
8Erik GustafssonProvidence (BOS)D6793948-65115677911945927.56%114151122.5521214602450114189100%000000.6400012113
9Joshua LeivoProvidence (BOS)LW/RW80143044231003561245631735.71%8111713.9702214670002132353.06%9800100.7900000224
10Radim SimekProvidence (BOS)D8073441375511470135511125.19%108149518.692810582040000146000%000000.5500010111
11T.J. GaliardiProvidence (BOS)C/LW/RW77162238-11606481202481407.92%11149519.4246105126500021195249.61%77800000.5100000202
12Charlie CoyleProvidence (BOS)C/RW721121328595968714738987.48%591912.77101531000172049.62%118300000.7000000032
13Dmitrij JaskinProvidence (BOS)LW/RW801613291130106965173461369.25%8105613.21000290001211351.65%9100010.5500002210
14Brent SeabrookProvidence (BOS)D759162524140303579294811.39%78125916.79415221290000108000%000000.4000000003
15Jake McCabeProvidence (BOS)D7231922732043437024604.29%72100714.000221868000084100%000000.4400000021
16Anthony ManthaProvidence (BOS)LW/RW80814224215573813234876.06%106808.510001100001282055.95%8400000.6500010102
17Boo NievesProvidence (BOS)C/LW/RW48459-22017435111317.84%14329.01000121000011048.32%50500000.4200000111
18Michael ChaputProvidence (BOS)C/LW664485008263692311.11%23054.6200015000021055.00%36000110.5200000100
19Melker KarlssonProvidence (BOS)LW/RW74448212023205521377.27%53845.2000000000091036.36%4400000.4200000000
20Egor ZamulaProvidence (BOS)D17336-1610013123210319.38%2235821.082241857000053100%000000.3300000000
21Chris KreiderProvidence (BOS)LW311250044171095.88%26722.35000490000110052.94%1700000.6001000000
22Nathan BeaulieuProvidence (BOS)D6011220440000%2345.800000000000000%000000.5700000000
Statistiques d’équipe totales ou en moyenne14022734857581516828013331369320286922128.53%6762285916.31641181827382907235321882471753.06%762500360.66291410373844
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Malcom SubbanProvidence (BOS)40241240.9112.9523772211713140010.66763936431
2Braden HoltbyProvidence (BOS)28171000.9162.9216620281961001002841330
3Louis DomingueBoston137420.9142.8278621374300000.3333131212
Statistiques d’équipe totales ou en moyenne81482660.9132.92482645235270500298078973


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Anthony ManthaProvidence (BOS)LW/RW291994-09-16CANNo233 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm825,000$29,615$0$0$No---------------------------Lien / Lien NHL
Austin Wagner (contrat à 1 volet)Providence (BOS)LW/RW271997-06-23CANNo188 Lbs6 ft1NoNoWaiverYesYes1FalseFalsePro & Farm750,000$45,000$7,500$450$No---------------------------Lien
Boo NievesProvidence (BOS)C/LW/RW301994-01-23USANo213 Lbs6 ft3NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm750,000$26,923$0$0$No750,000$--------750,000$--------No--------Lien
Braden HoltbyProvidence (BOS)G341989-09-16CANNo218 Lbs6 ft2NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm600,000$21,538$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Brent SeabrookProvidence (BOS)D391985-04-20CANNo234 Lbs6 ft3NoNoFree AgentNoNo12025-09-21FalseFalsePro & Farm850,000$30,513$0$0$No---------------------------
Charlie Coyle (contrat à 1 volet)Providence (BOS)C/RW321992-03-02USANo230 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm700,000$42,000$7,000$420$No---------------------------Lien / Lien NHL
Chris Kreider (contrat à 1 volet)Providence (BOS)LW331991-04-30USANo230 Lbs6 ft3NoNoTrade2026-04-25YesYes1FalseFalsePro & Farm2,200,000$132,000$22,000$1,320$No---------------------------Lien / Lien NHL
Colin BlackwellProvidence (BOS)C/LW/RW311993-03-28USANo190 Lbs5 ft9NoNoFree AgentNoNo32025-09-24FalseFalsePro & Farm1,300,000$46,667$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Connor MurphyProvidence (BOS)D311993-03-26USANo212 Lbs6 ft4NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm500,000$17,949$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Dmitrij JaskinProvidence (BOS)LW/RW311993-03-23RUSNo220 Lbs6 ft2NoNoTrade2024-10-02NoNo2FalseFalsePro & Farm1,050,000$37,692$0$0$No1,050,000$--------1,050,000$--------No--------Lien
Egor ZamulaProvidence (BOS)D242000-03-30RUSYes200 Lbs6 ft3NoNoTrade2026-04-26NoNo1FalseFalsePro & Farm600,000$21,538$0$0$No---------------------------Lien NHL
Erik GustafssonProvidence (BOS)D321992-03-14SWENo198 Lbs6 ft0NoNoFree Agent2025-07-25NoNo32025-10-08FalseFalsePro & Farm2,000,000$71,795$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Evan RodriguesProvidence (BOS)C/LW/RW301993-07-28CANNo182 Lbs5 ft11NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm1,651,000$59,267$0$0$No1,651,000$1,651,000$-------1,651,000$1,651,000$-------NoNo-------Lien / Lien NHL
Jake McCabeProvidence (BOS)D301993-10-12USANo212 Lbs6 ft1NoNoFree AgentNoNo42025-09-08FalseFalsePro & Farm925,000$33,205$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Joonas DonskoiProvidence (BOS)LW/RW321992-04-13FINNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$43,077$0$0$No---------------------------Lien
Joshua LeivoProvidence (BOS)LW/RW311993-05-26CANNo195 Lbs6 ft2NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm1,640,000$58,872$0$0$No1,640,000$1,640,000$-------1,640,000$1,640,000$-------NoNo-------Lien
Malcom SubbanProvidence (BOS)G301993-12-21CANNo205 Lbs6 ft2NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm1,150,000$41,282$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------Lien
Melker KarlssonProvidence (BOS)LW/RW331990-07-18SWENo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$34,103$0$0$No---------------------------Lien
Michael ChaputProvidence (BOS)C/LW321992-04-09CANNo204 Lbs6 ft2NoNoFree AgentNoNo22024-10-11FalseFalsePro & Farm502,000$18,021$0$0$No502,000$--------502,000$--------No--------Lien
Nathan BeaulieuProvidence (BOS)D311992-12-05CANNo200 Lbs6 ft2NoNoFree AgentNoNo12026-05-23FalseFalsePro & Farm500,000$17,949$0$0$No---------------------------Lien
Nick Bjugstad (contrat à 1 volet)Providence (BOS)C/LW/RW311992-07-17USANo224 Lbs6 ft6NoNoN/AYesYes2FalseFalsePro & Farm1,050,000$63,000$10,500$630$No1,050,000$--------1,050,000$--------No--------Lien / Lien NHL
Nikita TryamkinProvidence (BOS)D291994-08-30RUSNo267 Lbs6 ft7NoNoFree AgentNoNo12024-09-26FalseFalsePro & Farm1,350,000$48,462$0$0$No---------------------------Lien
Radim SimekProvidence (BOS)D311992-09-20CZENo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$32,308$0$0$No---------------------------Lien
T.J. GaliardiProvidence (BOS)C/LW/RW361988-04-22CANNo202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$43,077$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2431.21210 Lbs6 ft21.881,047,625$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderNick BjugstadJoonas Donskoi35122
2Austin WagnerColin BlackwellT.J. Galiardi30122
3Joshua LeivoCharlie CoyleDmitrij Jaskin25122
4Anthony ManthaChris KreiderNick Bjugstad10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyNikita Tryamkin35122
2Egor ZamulaErik Gustafsson30122
3Radim SimekBrent Seabrook25122
4Jake McCabeNathan Beaulieu10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderNick BjugstadJoonas Donskoi50122
2Austin WagnerColin BlackwellT.J. Galiardi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyNikita Tryamkin50122
2Egor ZamulaErik Gustafsson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris KreiderNick Bjugstad50122
2Joonas DonskoiColin Blackwell50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyNikita Tryamkin50122
2Egor ZamulaErik Gustafsson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Kreider50122Connor MurphyNikita Tryamkin50122
2Nick Bjugstad50122Egor ZamulaErik Gustafsson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris KreiderNick Bjugstad50122
2Joonas DonskoiColin Blackwell50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyNikita Tryamkin50122
2Egor ZamulaErik Gustafsson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris KreiderNick BjugstadJoonas DonskoiConnor MurphyNikita Tryamkin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris KreiderNick BjugstadJoonas DonskoiConnor MurphyNikita Tryamkin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joshua Leivo, Dmitrij Jaskin, Anthony ManthaJoshua Leivo, Dmitrij JaskinAnthony Mantha
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Radim Simek, Brent Seabrook, Jake McCabeRadim SimekBrent Seabrook, Jake McCabe
Tirs de pénalité
Chris Kreider, Nick Bjugstad, Joonas Donskoi, Colin Blackwell, Austin Wagner
Gardien
#1 : Malcom Subban, #2 : Braden Holtby
Lignes d’attaque personnalisées en prolongation
Chris Kreider, Nick Bjugstad, Joonas Donskoi, Colin Blackwell, Austin Wagner, T.J. Galiardi, Joshua Leivo, Dmitrij Jaskin, Anthony Mantha, Charlie Coyle
Lignes de défense personnalisées en prolongation
Connor Murphy, Nikita Tryamkin, Egor Zamula, Erik Gustafsson, Radim Simek


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Abbotsford21001000624110000004131000100021141.0006111700969181107310651086104942741718408225.00%8187.50%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
2Bakersfield431000001266321000006331100000063360.75012193101969181101471065108610494213347306225312.00%15193.33%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
3Bridgeport4310000013103220000005232110000088060.7501323360096918110166106510861049421133228661417.14%14285.71%11754329553.23%1620301253.78%676131451.45%1971135318096021050530
4Charlotte412010001417-32110000089-12010100068-240.50014253900969181101491065108610494214951427511545.45%21671.43%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
5Cleveland522010001213-12110000045-13110100088060.60012223400969181101991065108610494216536468631516.13%18383.33%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
6Coachella Valley32100000871110000001012110000077040.6678152301969181101281065108610494211626413311218.18%90100.00%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
7Eagles211000005411010000023-11100000031220.50058130096918110721065108610494272182427500.00%11281.82%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
8Grand Rapids52101001171253110100012842100000154170.700173350019691811024210651086104942169574810025312.00%18383.33%11754329553.23%1620301253.78%676131451.45%1971135318096021050530
9Hartford412000011418-42100000110912020000049-530.37514253900969181101601065108610494215733397616318.75%16662.50%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
10Hershey523000001517-23210000010822020000059-440.4001527420096918110194106510861049421854330841317.69%14564.29%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
11Iowa311010001716111000000541201010001212040.6671729460096918110140106510861049421053734551218.33%17570.59%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
12Laval42200000713-62200000063320200000110-940.500712190096918110140106510861049421495429771600.00%12375.00%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
13Lehigh Valley31100100911-2110000004222010010059-430.5009172600969181101141065108610494210715256011218.18%8187.50%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
14Manitoba3110100012111100010004312110000088040.66712213300969181101011065108610494210627375911654.55%14192.86%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
15Ontario321000001385211000006511100000073440.667132437009691811010910651086104942852427402328.70%7271.43%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
16Rochester411002001516-12000020079-22110000087140.50015284300969181101731065108610494212125284514214.29%13469.23%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
17Rockford20001100660100010003211000010034-130.75061117009691811063106510861049426821182812325.00%9188.89%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
18San Diego2020000047-31010000002-21010000045-100.000471110969181108010651086104942681816398112.50%7185.71%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
19San Jose21100000550110000004221010000013-220.500510151096918110831065108610494263166418225.00%3166.67%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
20Springfield3300000016610110000007432200000092761.0001628440096918110163106510861049427722254220735.00%10280.00%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
21Syracuse4300001016106210000109722200000073481.00016304600969181101661065108610494210122607922522.73%10370.00%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
22Texas21001000954100010006511100000030341.0009162501969181107510651086104942841924467228.57%11281.82%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
23Utica 4400000024519220000001431122000000102881.00024436701969181102011065108610494211235226317317.65%11190.91%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
24Wilkes-Barre/Scranton31200000814-6211000006511010000029-720.333814220096918110951065108610494212827306213323.08%15566.67%01754329553.23%1620301253.78%676131451.45%1971135318096021050530
Total803926084122772393840239042111431043940161704201134135-11020.6382774987752596918110323310651086104942270772272713853536418.13%2916179.04%21754329553.23%1620301253.78%676131451.45%1971135318096021050530
_Since Last GM Reset803926084122772393840239042111431043940161704201134135-11020.6382774987752596918110323310651086104942270772272713853536418.13%2916179.04%21754329553.23%1620301253.78%676131451.45%1971135318096021050530
_Vs Conference492317033121641568251550121195702524812021016986-17590.602164299463029691811019991065108610494216564304278732033316.26%1704275.29%21754329553.23%1620301253.78%676131451.45%1971135318096021050530
_Vs Division21960221169681115201210423661044010012732-5270.64369128197019691811087010651086104942689209207376881517.05%741974.32%11754329553.23%1620301253.78%676131451.45%1971135318096021050530

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80102SOL127749877532332707722727138525
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8039268412277239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
402394211143104
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4016174201134135
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3536418.13%2916179.04%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1065108610494296918110
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
1754329553.23%1620301253.78%676131451.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1971135318096021050530


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
213Grand Rapids4Providence3LSommaire du match
729Bakersfield0Providence3WSommaire du match
1249Providence2Cleveland4LSommaire du match
1355Hershey4Providence6WSommaire du match
1775Providence4Lehigh Valley5LXSommaire du match
1881Laval2Providence4WSommaire du match
2194Providence1Laval5LSommaire du match
23105Hershey1Providence3WSommaire du match
26119Providence2Springfield1WSommaire du match
27129Hartford6Providence5LXXSommaire du match
31146Providence4Manitoba6LSommaire du match
33156Bridgeport1Providence2WSommaire du match
36173Providence2Hartford3LSommaire du match
37181Cleveland1Providence3WSommaire du match
41202Ontario2Providence1LSommaire du match
43214Providence5Iowa6LSommaire du match
46226Syracuse2Providence3WSommaire du match
48238Providence7Ontario3WSommaire du match
51251Providence2Hartford6LSommaire du match
52259San Diego2Providence0LSommaire du match
56277Hershey3Providence1LSommaire du match
60296Providence6Bakersfield3WSommaire du match
61302Texas5Providence6WXSommaire du match
64319Providence1San Jose3LSommaire du match
66328Laval1Providence2WSommaire du match
68339Providence7Iowa6WXSommaire du match
70347Providence4San Diego5LSommaire du match
72358Providence1Lehigh Valley4LSommaire du match
73365Coachella Valley0Providence1WSommaire du match
75382Ontario3Providence5WSommaire du match
78398Providence2Coachella Valley4LSommaire du match
79407Bridgeport1Providence3WSommaire du match
82425Abbotsford1Providence4WSommaire du match
84437Providence3Eagles1WSommaire du match
86448Providence5Coachella Valley3WSommaire du match
87457Charlotte5Providence3LSommaire du match
90470Providence0Laval5LSommaire du match
92478Providence3Hershey5LSommaire du match
93488Manitoba3Providence4WXSommaire du match
97502Providence2Hershey4LSommaire du match
98512Hartford3Providence5WSommaire du match
102532Bakersfield2Providence0LSommaire du match
104546Providence3Texas0WSommaire du match
106557Rockford2Providence3WXSommaire du match
108565Providence3Rockford4LXSommaire du match
110579Providence4Cleveland3WSommaire du match
111587Grand Rapids2Providence6WSommaire du match
114606Providence2Abbotsford1WXSommaire du match
116614Utica 2Providence6WSommaire du match
119631Iowa4Providence5WSommaire du match
121645Providence4Manitoba2WSommaire du match
123656San Jose2Providence4WSommaire du match
126673Providence4Charlotte3WXSommaire du match
128682Wilkes-Barre/Scranton2Providence5WSommaire du match
132701Providence4Rochester2WSommaire du match
133710Bakersfield1Providence3WSommaire du match
136726Providence4Rochester5LSommaire du match
137735Rochester4Providence3LXSommaire du match
140753Providence4Syracuse2WSommaire du match
141760Syracuse5Providence6WXXSommaire du match
144779Utica 1Providence8WSommaire du match
146786Providence7Utica 0WSommaire du match
150804Grand Rapids2Providence3WXSommaire du match
151812Providence0Bridgeport3LSommaire du match
154827Charlotte4Providence5WSommaire du match
156838Providence3Syracuse1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158853Cleveland4Providence1LSommaire du match
160866Providence8Bridgeport5WSommaire du match
162878Springfield4Providence7WSommaire du match
164885Providence2Cleveland1WXSommaire du match
166896Providence3Utica 2WSommaire du match
168907Wilkes-Barre/Scranton3Providence1LSommaire du match
170916Providence2Charlotte5LSommaire du match
173931Lehigh Valley2Providence4WSommaire du match
177949Providence2Wilkes-Barre/Scranton9LSommaire du match
179957Rochester5Providence4LXSommaire du match
180965Providence2Grand Rapids0WSommaire du match
184979Eagles3Providence2LSommaire du match
185981Providence7Springfield1WSommaire du match
188995Providence3Grand Rapids4LXXSommaire du match
1921011Lehigh Valley-Providence-
1941025Providence-Wilkes-Barre/Scranton-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance59,57628,825
Assistance PCT74.47%72.06%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2210 - 73.67% 129,720$5,188,791$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,331,484$ 2,044,300$ 2,044,300$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,484$ 1,885,360$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
129,720$ 7 18,176$ 127,232$




Providence Leaders statistiques des joueurs (saison régulière)

# 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

Providence Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Providence Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Providence Leaders statistiques des joueurs (séries éliminatoires)

# 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

Providence Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA