Wolf Pack
GP: 30 | W: 13 | L: 13 | OTL: 4 | P: 30
GF: 111 | GA: 113 | PP%: 20.65% | PK%: 83.00%
DG: Simon Duchesne | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #458 vs Silver Knights
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolf Pack
13-13-4, 30pts
5
FINAL
4 Senators
18-8-2, 38pts
Team Stats
OTL1StreakW1
6-5-2Home Record8-4-1
7-8-2Away Record10-4-1
4-4-2Last 10 Games7-3-0
3.70Buts par match 3.96
3.77Buts contre par match 3.07
20.65%Pourcentage en avantage numérique26.37%
83.00%Pourcentage en désavantage numérique78.57%
Eagles
13-13-2, 28pts
2
FINAL
1 Wolf Pack
13-13-4, 30pts
Team Stats
W2StreakOTL1
5-8-0Home Record6-5-2
8-5-2Away Record7-8-2
5-4-1Last 10 Games4-4-2
3.57Buts par match 3.70
3.79Buts contre par match 3.77
19.79%Pourcentage en avantage numérique20.65%
82.46%Pourcentage en désavantage numérique83.00%
Silver Knights
2-24-1, 5pts
2025-12-07
Wolf Pack
13-13-4, 30pts
Statistiques d’équipe
L4SéquenceOTL1
0-14-1Fiche domicile6-5-2
2-10-0Fiche visiteur7-8-2
0-9-110 derniers matchs4-4-2
3.19Buts par match 3.70
6.37Buts contre par match 3.77
19.40%Pourcentage en avantage numérique20.65%
73.85%Pourcentage en désavantage numérique83.00%
Wolf Pack
13-13-4, 30pts
2025-12-10
IceHogs
16-9-3, 35pts
Statistiques d’équipe
OTL1SéquenceL1
6-5-2Fiche domicile9-4-1
7-8-2Fiche visiteur7-5-2
4-4-210 derniers matchs8-2-0
3.70Buts par match 4.00
3.77Buts contre par match 3.36
20.65%Pourcentage en avantage numérique22.68%
83.00%Pourcentage en désavantage numérique76.24%
Rocket
17-9-1, 35pts
2025-12-13
Wolf Pack
13-13-4, 30pts
Statistiques d’équipe
L1SéquenceOTL1
9-5-0Fiche domicile6-5-2
8-4-1Fiche visiteur7-8-2
7-3-010 derniers matchs4-4-2
3.85Buts par match 3.70
3.22Buts contre par match 3.77
21.98%Pourcentage en avantage numérique20.65%
83.33%Pourcentage en désavantage numérique83.00%
Meneurs d'équipe
Dakota MermisButs
Dakota Mermis
2
Dakota MermisPasses
Dakota Mermis
2
Dakota MermisPoints
Dakota Mermis
4
Dakota MermisPlus/Moins
Dakota Mermis
-2
Brandon BussiVictoires
Brandon Bussi
11
Parker GahagenPourcentage d’arrêts
Parker Gahagen
0.899

Statistiques d’équipe
Buts pour
111
3.70 GFG
Tirs pour
1176
39.20 Avg
Pourcentage en avantage numérique
20.7%
19 GF
Début de zone offensive
41.5%
Buts contre
113
3.77 GAA
Tirs contre
1082
36.07 Avg
Pourcentage en désavantage numérique
83.0%
17 GA
Début de la zone défensive
40.5%
Information d’équipe

Directeur généralSimon Duchesne
EntraîneurJay Leach
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,980
Billets de saison300


Information formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 80
Espoirs30


Historique d'équipe

Saison actuelle13-13-4 (30PTS)
Historique59-40-8 (0.551%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-5
Stanley Cup0


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 moyen
1Anthony Richard0X95.01653883706887836769656663676971075660282974,800$
2Zach Aston-Reese0XXX100.00774082667782876265616069587374075650311999,999$
3Isak Rosen (R)0X100.00603695667086876556626361666264075640221950,000$
4Charles Hudon0XX100.00593972676895836574686261697173075640312850,000$
5Brett Berard (R)0X100.00653974666485866561636462666564075630232950,000$
6Max McCormick0XX100.00787174637084766260596258627377075630331999,999$
7Mitchell Stephens0X100.00663889627578855878605967566870075630281775,000$
8Sean Farrell (R)0X100.00553594656480816369626061656466075620232950,000$
9Grigori Denisenko (R)0X100.00733972647287866257605861636567075620253999,999$
10Givani Smith (R)0X100.00798368578370715653595861556769075610272850,000$
11Francesco Pinelli (R)0X100.00623884577181865662555854566264075590222950,000$
12Ryder Korczak (R)0X100.00583788586775815762565553546365075590232950,000$
13Miko Matikka (R)0X100.00723895548165645355525056516264075580213950,000$
14Steven Santini0X100.00753989598677835830575665487072075630301999,999$
15Ben Harpur (R)0X100.00905665589968665730565363467072075620303950,000$
16Connor Carrick0X100.00614367647094856330625957507173075620311999,999$
17Donovan Sebrango (R)0X100.00704460618574765930585560526365075600231750,000$
18Topi Niemela (R)0X100.00553785616467845930625355476365075600232950,000$
19Madison Bowey (R)0X100.00724368558164705430565357467072075590303950,000$
Rayé
1Ethan Edwards (R)0X100.00573974566665605430595053456365075570233950,000$
MOYENNE D’ÉQUIPE99.7567447961747879605260586056676907562
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 moyen
1Brandon Bussi (R)100.0077858191767577767577766777075670272999,999$
2Parker Gahagen100.0075787379747375747375747286075660321780,000$
Rayé
MOYENNE D’ÉQUIPE100.007682778575747675747675708207567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Leach68696465696480USA462500,000$


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
1Zach Aston-ReeseWolf Pack (NYR)C/LW/RW281821395180102621423210312.68%1463222.59651127780000430052.71%12900021.2300000341
2Charles HudonWolf Pack (NYR)LW/RW28121931-320357713541918.89%1463822.824610318000051063158.18%5500010.9700000200
3Anthony RichardWolf Pack (NYR)C1982028410024769136788.79%841822.051897390004591053.12%62500001.3400000221
4Isak RosenWolf Pack (NYR)LW28141125130015501144010212.28%654219.3702216690002321040.43%4700000.9200000032
5Mitchell StephensWolf Pack (NYR)C28317204100259710130482.97%649017.5306615590000150060.21%66600000.8100000110
6Max McCormickWolf Pack (NYR)LW/RW2813619531510546113378311.50%1157620.5811225740000233052.99%11700000.6600010111
7Francesco PinelliWolf Pack (NYR)C2851015-64020485412449.26%1346916.7800000000001149.47%28300000.6400000102
8Topi NiemelaWolf Pack (NYR)D2811415114013132011145.00%2248817.46022860000022000.00%000000.6100000000
9Givani SmithWolf Pack (NYR)RW2841014-227558245321447.55%430410.8700000000000250.00%2400000.9200001101
10Donovan SebrangoWolf Pack (NYR)D282111382806214218179.52%2832411.5700005000060014.29%700000.8000000000
11Sean FarrellWolf Pack (NYR)C284812-1202746425476.25%533411.9400015000021057.14%40600000.7200000000
12Connor CarrickWolf Pack (NYR)D14651178016162841121.43%2027819.922021836000025200.00%000010.7900000110
13Grigori DenisenkoWolf Pack (NYR)LW28369-24029313418328.82%72027.2200000000001020.00%1500000.8900000010
14Steven SantiniWolf Pack (NYR)D28077-619557263410290.00%3560321.540111350000065000.00%000000.2300010002
15Madison BoweyWolf Pack (NYR)D28257-520061121741211.76%2544115.770000200004800100.00%100000.3200000000
16Brett BerardWolf Pack (NYR)LW94261404112582516.00%110411.66101715000010071.43%700001.1400000100
17Ethan EdwardsWolf Pack (NYR)D923538019251140.00%69710.800000000000000.00%000001.0300000011
18Miko MatikkaWolf Pack (NYR)RW161455401112157106.67%21499.3700000000000053.06%4900000.6700000010
19Ben HarpurWolf Pack (NYR)D1813431805617255164.00%2533218.481011442000042000.00%000000.2400000002
20Dakota MermisRangersD7224-220118135815.38%1416623.8121369000019000.00%000000.4800000001
Statistiques d’équipe totales ou en moyenne456105184289422231572571611043558159.51%266759816.661832501886300001151613454.87%243100040.7600021131514
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
1Brandon BussiWolf Pack (NYR)24111110.8963.57129500777380000.0000244111
2Parker GahagenWolf Pack (NYR)92030.8993.1839600212070200.0000424000
Statistiques d’équipe totales ou en moyenne33131140.8963.48169200989450200.00002828111


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Anthony RichardWolf Pack (NYR)C281996-12-20No185 Lbs5 ft10NoNoNo2Pro & Farm974,800$665,098$974,800$665,098$0$0$No974,800$Lien / Lien NHL
Ben HarpurWolf Pack (NYR)D301995-01-12Yes231 Lbs6 ft6NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Brandon BussiWolf Pack (NYR)G271998-06-25Yes209 Lbs6 ft5NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Brett BerardWolf Pack (NYR)LW232002-09-09Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Charles HudonWolf Pack (NYR)LW/RW311994-06-23No190 Lbs5 ft10NoNoNo2Pro & Farm850,000$579,948$850,000$579,948$0$0$No850,000$Lien / Lien NHL
Connor CarrickWolf Pack (NYR)D311994-04-13No198 Lbs5 ft10NoNoNo1Pro & Farm999,999$682,291$999,999$682,291$0$0$NoLien / Lien NHL
Donovan SebrangoWolf Pack (NYR)D232002-01-12Yes221 Lbs6 ft2NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Ethan EdwardsWolf Pack (NYR)D232002-06-06Yes176 Lbs5 ft10NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Francesco PinelliWolf Pack (NYR)C222003-04-11Yes185 Lbs6 ft0NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Givani SmithWolf Pack (NYR)RW271998-02-27Yes214 Lbs6 ft2NoNoNo2Pro & Farm850,000$579,948$850,000$579,948$0$0$No850,000$Lien / Lien NHL
Grigori DenisenkoWolf Pack (NYR)LW252000-06-24Yes198 Lbs5 ft11NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Isak RosenWolf Pack (NYR)LW222003-03-15Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Madison BoweyWolf Pack (NYR)D301995-04-22Yes202 Lbs6 ft2NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Max McCormickWolf Pack (NYR)LW/RW331992-05-01No188 Lbs5 ft11NoNoNo1Pro & Farm999,999$682,291$999,999$682,291$0$0$NoLien / Lien NHL
Miko MatikkaWolf Pack (NYR)RW212003-10-26Yes187 Lbs6 ft3NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Mitchell StephensWolf Pack (NYR)C281997-02-05No203 Lbs6 ft0NoNoNo1Pro & Farm775,000$528,776$775,000$528,776$0$0$NoLien / Lien NHL
Parker GahagenWolf Pack (NYR)G321993-05-17No195 Lbs6 ft2NoNoNo1Pro & Farm780,000$532,188$780,000$532,188$0$0$NoLien / Lien NHL
Ryder KorczakWolf Pack (NYR)C232002-09-23Yes171 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Sean FarrellWolf Pack (NYR)C232001-11-02Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Steven SantiniWolf Pack (NYR)D301995-03-07No214 Lbs6 ft3NoNoNo1Pro & Farm999,999$682,291$999,999$682,291$0$0$NoLien / Lien NHL
Topi NiemelaWolf Pack (NYR)D232002-03-25Yes156 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Zach Aston-ReeseWolf Pack (NYR)C/LW/RW311994-08-10No200 Lbs6 ft1NoNoNo1Pro & Farm999,999$682,291$999,999$682,291$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.64193 Lbs6 ft01.86930,900$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenMitchell StephensZach Aston-Reese40122
2Charles HudonAnthony RichardMax McCormick30122
3Brett BerardSean FarrellGivani Smith20122
4Grigori DenisenkoFrancesco PinelliMiko Matikka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurSteven Santini40122
2Topi NiemelaConnor Carrick30122
3Donovan SebrangoMadison Bowey20122
4Steven SantiniZach Aston-Reese10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonMitchell StephensZach Aston-Reese60122
2Isak RosenAnthony RichardMax McCormick40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topi NiemelaConnor Carrick60122
2Ben HarpurBrett Berard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensCharles Hudon60122
2Zach Aston-ReeseGivani Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweySteven Santini60122
2Ben HarpurTopi Niemela40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Richard60122Ben HarpurSteven Santini60122
2Zach Aston-Reese40122Connor CarrickTopi Niemela40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony RichardCharles Hudon60122
2Zach Aston-ReeseIsak Rosen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topi NiemelaSteven Santini60122
2Connor CarrickBen Harpur40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isak RosenAnthony RichardZach Aston-ReeseBen HarpurConnor Carrick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonMitchell StephensZach Aston-ReeseTopi NiemelaSteven Santini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Richard, Isak Rosen, Mitchell StephensBrett Berard, Sean FarrellZach Aston-Reese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Topi Niemela, Donovan Sebrango, Ben HarpurConnor CarrickSteven Santini, Madison Bowey
Tirs de pénalité
Isak Rosen, Zach Aston-Reese, Charles Hudon, Sean Farrell, Max McCormick
Gardien
#1 : Parker Gahagen, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Isak Rosen, Zach Aston-Reese, Charles Hudon, Anthony Richard, Max McCormick, Mitchell Stephens, Mitchell Stephens, Francesco Pinelli, Grigori Denisenko, Sean Farrell, Givani Smith
Lignes de défense personnalisées en prolongation
Steven Santini, Topi Niemela, Ben Harpur, Connor Carrick, Donovan Sebrango


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
1Admirals11000000422110000004220000000000021.000471100404526026383377407929610322150.00%40100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
2Americans1010000048-4000000000001010000048-400.00048120040452603938337740796717637100.00%30100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
3Barracuda11000000321110000003210000000000021.0003690040452604138337740792776274250.00%30100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
4Bears1010000035-21010000035-20000000000000.0003470040452603838337740795216025100.00%000.00%0616113854.13%570111051.35%25649651.61%721511718217373182
5Bruins1010000036-3000000000001010000036-300.0003690040452603738337740793814825700.00%4250.00%0616113854.13%570111051.35%25649651.61%721511718217373182
6Comets1010000034-1000000000001010000034-100.000358004045260403833774079431211304125.00%30100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
7Condors20100100810-21010000045-11000010045-110.25081624004045260783833774079752718642150.00%9277.78%0616113854.13%570111051.35%25649651.61%721511718217373182
8Crunch2100010011741000010056-11100000061530.750111829004045260803833774079701812476116.67%60100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
9Eagles2010010046-21000010012-11010000034-110.250471100404526081383377407970182060600.00%9366.67%0616113854.13%570111051.35%25649651.61%721511718217373182
10Firebirds1010000026-4000000000001010000026-400.000246004045260363833774079339424200.00%10100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
11Griffins21100000761110000004221010000034-120.500712190040452601113833774079802434536116.67%9188.89%0616113854.13%570111051.35%25649651.61%721511718217373182
12Marlies11000000211000000000001100000021121.000246004045260303833774079171013192150.00%20100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
13Monsters1000010001-1000000000001000010001-110.5000000040452602238337740793213814300.00%20100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
14Penguins21100000711-41010000027-51100000054120.500714210040452606138337740791174214534250.00%70100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
15Roadrunners1010000014-3000000000001010000014-300.00012300404526030383377407934610315120.00%5260.00%0616113854.13%570111051.35%25649651.61%721511718217373182
16Rocket11000000826000000000001100000082621.00081220004045260433833774079201063211100.00%30100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
17Senators11000000541000000000001100000054121.0005914004045260363833774079341610246116.67%5180.00%0616113854.13%570111051.35%25649651.61%721511718217373182
18Silver Knights11000000826000000000001100000082621.00081422004045260553833774079298430400.00%2150.00%0616113854.13%570111051.35%25649651.61%721511718217373182
19Sound Tigers1010000046-21010000046-20000000000000.000471100404526039383377407931112282150.00%10100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
20Stars11000000523110000005230000000000021.00058130040452603338337740792568275360.00%3166.67%0616113854.13%570111051.35%25649651.61%721511718217373182
21Thunderbirds11000000633110000006330000000000021.00061016004045260593833774079208231300.00%10100.00%0616113854.13%570111051.35%25649651.61%721511718217373182
22Wild11000000523110000005230000000000021.000510150040452606438337740792738292150.00%3166.67%0616113854.13%570111051.35%25649651.61%721511718217373182
23Wolves20200000311-81010000014-31010000027-500.00035800404526049383377407977162460500.00%12283.33%0616113854.13%570111051.35%25649651.61%721511718217373182
24Wranglers11000000523000000000001100000052321.000591400404526048383377407935126239111.11%3166.67%0616113854.13%570111051.35%25649651.61%721511718217373182
Total30131300400111113-21365002004748-11778002006465-1300.500111197308004045260117638337740791082329244825921920.65%1001783.00%0616113854.13%570111051.35%25649651.61%721511718217373182
_Since Last GM Reset30131300400111113-21365002004748-11778002006465-1300.500111197308004045260117638337740791082329244825921920.65%1001783.00%0616113854.13%570111051.35%25649651.61%721511718217373182
_Vs Conference1668002005768-11614001001930-1110540010038380140.4385799156004045260585383377407963520713741744818.18%54688.89%0616113854.13%570111051.35%25649651.61%721511718217373182
_Vs Division715001001734-17404000001022-1231100100712-530.2141730470040452602093833774079309984818015320.00%22290.91%0616113854.13%570111051.35%25649651.61%721511718217373182

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3030OTL11111973081176108232924482500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3013130400111113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136502004748
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177802006465
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
921920.65%1001783.00%0
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
38337740794045260
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
616113854.13%570111051.35%25649651.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
721511718217373182


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
1 - 2025-10-072Penguins7Wolf Pack2BLSommaire du match
3 - 2025-10-099Wolf Pack4Americans8ALSommaire du match
5 - 2025-10-1129Wolf Pack5Penguins4AWSommaire du match
6 - 2025-10-1238Bears5Wolf Pack3BLSommaire du match
8 - 2025-10-1451Condors5Wolf Pack4BLSommaire du match
10 - 2025-10-1661Wolf Pack2Marlies1AWSommaire du match
12 - 2025-10-1880Wolf Pack8Rocket2AWSommaire du match
14 - 2025-10-2093Wild2Wolf Pack5BWSommaire du match
17 - 2025-10-23116Barracuda2Wolf Pack3BWSommaire du match
20 - 2025-10-26146Wolf Pack5Wranglers2AWSommaire du match
22 - 2025-10-28163Wolf Pack3Comets4ALSommaire du match
24 - 2025-10-30175Wolf Pack4Condors5ALXSommaire du match
26 - 2025-11-01193Wolf Pack2Firebirds6ALSommaire du match
29 - 2025-11-04206Wolves4Wolf Pack1BLSommaire du match
32 - 2025-11-07227Wolf Pack3Griffins4ALSommaire du match
33 - 2025-11-08237Sound Tigers6Wolf Pack4BLSommaire du match
35 - 2025-11-10253Admirals2Wolf Pack4BWSommaire du match
37 - 2025-11-12265Wolf Pack6Crunch1AWSommaire du match
40 - 2025-11-15290Wolf Pack0Monsters1ALXSommaire du match
41 - 2025-11-16299Griffins2Wolf Pack4BWSommaire du match
43 - 2025-11-18313Wolf Pack8Silver Knights2AWSommaire du match
45 - 2025-11-20326Wolf Pack3Eagles4ALSommaire du match
47 - 2025-11-22344Wolf Pack1Roadrunners4ALSommaire du match
49 - 2025-11-24355Thunderbirds3Wolf Pack6BWSommaire du match
51 - 2025-11-26368Wolf Pack2Wolves7ALSommaire du match
53 - 2025-11-28377Wolf Pack3Bruins6ALSommaire du match
54 - 2025-11-29391Crunch6Wolf Pack5BLXSommaire du match
57 - 2025-12-02414Stars2Wolf Pack5BWSommaire du match
59 - 2025-12-04427Wolf Pack5Senators4AWSommaire du match
61 - 2025-12-06441Eagles2Wolf Pack1BLXSommaire du match
62 - 2025-12-07458Silver Knights-Wolf Pack-
65 - 2025-12-10476Wolf Pack-IceHogs-
68 - 2025-12-13500Rocket-Wolf Pack-
70 - 2025-12-15515Gulls-Wolf Pack-
71 - 2025-12-16523Comets-Wolf Pack-
73 - 2025-12-18541Wolf Pack-Thunderbirds-
75 - 2025-12-20549Phantoms-Wolf Pack-
76 - 2025-12-21567Wolf Pack-Admirals-
78 - 2025-12-23577Wolf Pack-Bears-
82 - 2025-12-27588Wolf Pack-Sound Tigers-
84 - 2025-12-29608Wolf Pack-Wolves-
86 - 2025-12-31622Wolf Pack-Bears-
88 - 2026-01-02641Wolf Pack-Checkers-
91 - 2026-01-05662Roadrunners-Wolf Pack-
94 - 2026-01-08685Americans-Wolf Pack-
96 - 2026-01-10697Wolf Pack-Bruins-
98 - 2026-01-12718Firebirds-Wolf Pack-
100 - 2026-01-14737Senators-Wolf Pack-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19779Wolf Pack-Gulls-
106 - 2026-01-20787Wolf Pack-Reign-
109 - 2026-01-23808Wolf Pack-Barracuda-
112 - 2026-01-26826Bruins-Wolf Pack-
114 - 2026-01-28842Wolf Pack-Sound Tigers-
115 - 2026-01-29848Sound Tigers-Wolf Pack-
117 - 2026-01-31861Wolf Pack-Penguins-
122 - 2026-02-05905Wolves-Wolf Pack-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28934Penguins-Wolf Pack-
147 - 2026-03-02953Monsters-Wolf Pack-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07991Wolf Pack-Devils-
154 - 2026-03-091008Wolf Pack-Phantoms-
155 - 2026-03-101017Wranglers-Wolf Pack-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141046Wolf Pack-Wild-
161 - 2026-03-161065Reign-Wolf Pack-
163 - 2026-03-181077Devils-Wolf Pack-
164 - 2026-03-191086Wolf Pack-Monsters-
167 - 2026-03-221110Moose-Wolf Pack-
168 - 2026-03-231119Senators-Wolf Pack-
170 - 2026-03-251136Wolf Pack-Marlies-
172 - 2026-03-271151IceHogs-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
174 - 2026-03-291167Checkers-Wolf Pack-
176 - 2026-03-311182Devils-Wolf Pack-
178 - 2026-04-021194Rocket-Wolf Pack-
180 - 2026-04-041207Griffins-Wolf Pack-
181 - 2026-04-051227Bears-Wolf Pack-
184 - 2026-04-081244Americans-Wolf Pack-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131283Wolf Pack-Checkers-
191 - 2026-04-151302Wolf Pack-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance25,79212,954
Assistance PCT99.20%99.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-3 2980 - 99.35% 80,684$1,048,887$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
810,937$ 2,047,980$ 2,047,980$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 648,571$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-242,051$ 131 13,271$ 1,738,501$




Wolf Pack Leaders statistiques (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
1Anthony Richard98417111221401723404179.83%27227423.217233045202127152.15%00.9800
2Charles Hudon110436610918241262194349.91%35215219.5610192983000610151.14%11.0100
3Zach Aston-Reese104405999266634016839510.13%36207119.92916257600024150.85%20.9600
4Andrew Agozzino8231518214742491973249.57%28200624.466142058022104149.91%20.8200
5Dakota Mermis8920557574913412815812.66%166217924.49121224730001210.00%00.6900

Wolf Pack 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
1Alex Stalock82462670.9063.18464010224626090400.0000
2Brandon Bussi24111110.8963.57129500777380000.0000
3Parker Gahagen92030.8993.1839600212070200.0000
4Hugo Alnefelt80120.9252.6631600141860000.0000

Wolf Pack 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
Saison régulière
20248238270890029426034411815053001481408412012036001461202610129452782102113928183001976985100634279580664020522795921.15%2786875.54%41564309150.60%1538300451.20%696134951.59%1956133719316151072530
202530131300400111113-21365002004748-11778002006465-130111197308004045260117638337740791082329244825921920.65%1001783.00%0616113854.13%570111051.35%25649651.61%721511718217373182
Total Saison régulière112514008130040537332542420055001951887582720038002101852513140572411290215313710784177135913621413433877113588428773717821.02%3788577.51%42180422951.55%2108411451.24%952184551.60%2678184826498321445713
Séries éliminatoires
20241275000004638874300000262155320000020173144683129001611181459140146140333871048129950816.00%37489.19%123349147.45%24546352.92%10521249.53%3182202909516785
Total Séries éliminatoires1275000004638874300000262155320000020173144683129001611181459140146140333871048129950816.00%37489.19%123349147.45%24546352.92%10521249.53%3182202909516785

Wolf Pack Leaders statistiques (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
1Anthony Richard126121851622414513.33%229324.450551710111051.06%01.2300
2Andrew Agozzino1259146447364511.11%433227.73022700000147.79%00.8400
3Zach Aston-Reese1285136439164816.67%224520.501011100002054.55%01.0600
4Alexander Holtz126612501028758.00%128323.634262100000051.61%00.8500
5Justin Dowling123811601243407.50%326221.90011600020050.92%00.8400

Wolf Pack 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
1Alex Stalock127320.8943.0973700383600200.0000
2Hugo Alnefelt10001.0000.0038000270000.0000