Wolf Pack
GP: 60 | W: 31 | L: 22 | OTL: 7 | P: 69
GF: 226 | GA: 207 | PP%: 20.45% | PK%: 79.71%
DG: Simon Duchesne | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #975 vs Marlies
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Centre de jeu
Penguins
38-18-3, 79pts
5
FINAL
6 Wolf Pack
31-22-7, 69pts
Team Stats
W1StreakL1
21-8-1Home Record14-10-4
17-10-2Away Record17-12-3
4-3-3Last 10 Games5-5-0
4.31Buts par match 3.77
3.10Buts contre par match 3.45
25.27%Pourcentage en avantage numérique20.45%
78.85%Pourcentage en désavantage numérique79.71%
Monsters
44-13-3, 91pts
3
FINAL
1 Wolf Pack
31-22-7, 69pts
Team Stats
W3StreakL1
22-5-2Home Record14-10-4
22-8-1Away Record17-12-3
8-2-0Last 10 Games5-5-0
4.25Buts par match 3.77
2.48Buts contre par match 3.45
24.10%Pourcentage en avantage numérique20.45%
81.87%Pourcentage en désavantage numérique79.71%
Marlies
33-24-4, 70pts
2026-03-05
Wolf Pack
31-22-7, 69pts
Statistiques d’équipe
OTL1SéquenceL1
19-12-2Fiche domicile14-10-4
14-12-2Fiche visiteur17-12-3
4-4-210 derniers matchs5-5-0
4.07Buts par match 3.77
3.49Buts contre par match 3.45
25.67%Pourcentage en avantage numérique20.45%
80.00%Pourcentage en désavantage numérique79.71%
Wolf Pack
31-22-7, 69pts
2026-03-07
Devils
31-26-3, 65pts
Statistiques d’équipe
L1SéquenceL1
14-10-4Fiche domicile17-9-2
17-12-3Fiche visiteur14-17-1
5-5-010 derniers matchs3-7-0
3.77Buts par match 3.92
3.45Buts contre par match 3.95
20.45%Pourcentage en avantage numérique27.33%
79.71%Pourcentage en désavantage numérique76.19%
Wolf Pack
31-22-7, 69pts
2026-03-09
Phantoms
34-21-5, 73pts
Statistiques d’équipe
L1SéquenceW1
14-10-4Fiche domicile19-10-1
17-12-3Fiche visiteur15-11-4
5-5-010 derniers matchs5-3-2
3.77Buts par match 3.72
3.45Buts contre par match 3.08
20.45%Pourcentage en avantage numérique24.61%
79.71%Pourcentage en désavantage numérique82.17%
Meneurs d'équipe
Simon NemecButs
Simon Nemec
7
Simon NemecPasses
Simon Nemec
16
Simon NemecPoints
Simon Nemec
23
Simon NemecPlus/Moins
Simon Nemec
15
Brandon BussiVictoires
Brandon Bussi
22
Parker GahagenPourcentage d’arrêts
Parker Gahagen
0.908

Statistiques d’équipe
Buts pour
226
3.77 GFG
Tirs pour
2360
39.33 Avg
Pourcentage en avantage numérique
20.5%
36 GF
Début de zone offensive
42.3%
Buts contre
207
3.45 GAA
Tirs contre
2115
35.25 Avg
Pourcentage en désavantage numérique
79.7%
42 GA
Début de la zone défensive
40.4%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,979
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 80
Espoirs29


Historique d'équipe

Saison actuelle31-22-7 (69PTS)
Historique77-49-15 (0.546%)
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 Richard0X100.00653883706887836769656663676971075660282974,800$
2Isak Rosen (R)0X99.00603695667086876556626361666264075640221950,000$
3Charles Hudon0XX100.00593972676895836574686261697173075640312850,000$
4Max McCormick0XX100.00787174637084766260596258627377075630331999,999$
5Sean Farrell (R)0X100.00553594656480816369626061656466075620232950,000$
6Grigori Denisenko (R)0X100.00733972647287866257605861636567075620253999,999$
7Givani Smith (R)0X100.00798368578370715653595861556769075610272850,000$
8Francesco Pinelli (R)0X100.00623884577181865662555854566264075590222950,000$
9Ryder Korczak (R)0X100.00583788586775815762565553546365075590232950,000$
10Miko Matikka (R)0X100.00723895548165645355525056516264075580213950,000$
11Dakota Mermis0X100.00654175657481766230636066507173075640312999,999$
12Steven Santini0X100.00753989598677835830575665487072075630301999,999$
13Ben Harpur (R)0X100.00905665589968665730565363467072075620303950,000$
14Connor Carrick0X100.00614367647094856330625957507173075620311999,999$
15Donovan Sebrango (R)0X100.00704460618574765930585560526365075600231750,000$
16Topi Niemela (R)0X100.00553785616467845930625355476365075600232950,000$
17Madison Bowey (R)0X100.00724368558164705430565357467072075590303950,000$
18Ethan Edwards (R)0X100.00573974566665605430595053456365075570233950,000$
Rayé
1Zach Aston-Reese0XXX82.30774082667782876265616069587374075650311999,999$
2Brett Berard (R)0X100.00653974666485866561636462666564075630232950,000$
3Mitchell Stephens0X100.00663889627578855878605967566870075630281775,000$
MOYENNE D’ÉQUIPE99.1167437962747879605160586056676907562
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/RW56294372155001911422586720211.24%30126722.64611174114501131240053.73%83200021.1404000454
2Charles HudonWolf Pack (NYR)LW/RW582633591312067155269871879.67%25135723.4178154915110182255152.12%16500030.8735000512
3Isak RosenWolf Pack (NYR)LW58252247186036992378519410.55%8117620.29336321350002693038.84%12100000.8005000144
4Mitchell StephensWolf Pack (NYR)C53113445614061175191621225.76%15100919.05099291140001790160.37%135000000.8900000131
5Max McCormickWolf Pack (NYR)LW/RW51201838125410160851845413310.87%1595218.68235321170000234152.00%15000000.8002010411
6Anthony RichardWolf Pack (NYR)C301423378140351131324811210.61%1062820.96391217581015702153.54%93200011.1801000321
7Givani SmithWolf Pack (NYR)RW538223010395106439332728.60%660111.3400000011071251.22%4100001.0000001311
8Grigori DenisenkoWolf Pack (NYR)LW58161430910083741475510510.88%1565711.3310112000052037.29%5900000.9100000031
9Connor CarrickWolf Pack (NYR)D441118291480434877184414.29%6788320.074263591000292200.00%000010.6600000121
10Ben HarpurWolf Pack (NYR)D484242818615172366618366.06%6795119.83167281020001113120.00%000000.5900010114
11Brett BerardWolf Pack (NYR)LW32161228131603050113359014.16%453016.5950518630000224164.29%5600001.0511000222
12Topi NiemelaWolf Pack (NYR)D58226281510047414718304.26%5099517.170221080011156000.00%100000.5600000001
13Dakota MermisWolf Pack (NYR)D3052126426050456519377.69%5973724.602682567000282000.00%000000.7000000002
14Sean FarrellWolf Pack (NYR)C58917268203130131461076.87%1170112.090112150000272055.69%83500000.7413000201
15Steven SantiniWolf Pack (NYR)D58619255475112548418517.14%89122721.16134281060000149100.00%000000.4100010014
16Simon NemecRangersD257162315120314150163814.00%3561424.592132774000145100.00%000100.7500000030
17Donovan SebrangoWolf Pack (NYR)D363121513300761729102510.34%3541711.60000050000100014.29%700000.7200000010
18Francesco PinelliWolf Pack (NYR)C3851015-88025596918507.25%1659615.7100000000001149.59%36300000.5000000102
19Madison BoweyWolf Pack (NYR)D5821214130091242511208.00%4271312.310001500007400100.00%100000.3900000000
20Ethan EdwardsWolf Pack (NYR)D923538019251140.00%69710.800000000000000.00%000001.0300000011
21Ryder KorczakWolf Pack (NYR)C23145-3005292711233.70%21647.1400000000001050.80%18700000.6100000010
22Miko MatikkaWolf Pack (NYR)RW221454401912209115.00%21868.4900010000000051.92%5200000.5400000010
Statistiques d’équipe totales ou en moyenne9562234076301934612514621474231973816909.62%6091647117.2337641013761339235261280301054.74%515200170.76521031283333
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)42221710.9033.2823250112713070000.80054117323
2Parker GahagenWolf Pack (NYR)239360.9083.10120020626710300.688161741010
Statistiques d’équipe totales ou en moyenne65312070.9043.2235262118919780300.714215858333


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$228,469$974,800$228,469$0$0$No974,800$Lien / Lien NHL
Ben HarpurWolf Pack (NYR)D301995-01-12Yes231 Lbs6 ft6NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Brandon BussiWolf Pack (NYR)G271998-06-25Yes209 Lbs6 ft5NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
Brett BerardWolf Pack (NYR)LW232002-09-09Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Charles HudonWolf Pack (NYR)LW/RW311994-06-23No190 Lbs5 ft10NoNoNo2Pro & Farm850,000$199,219$850,000$199,219$0$0$No850,000$Lien / Lien NHL
Connor CarrickWolf Pack (NYR)D311994-04-13No198 Lbs5 ft10NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$NoLien / Lien NHL
Dakota MermisWolf Pack (NYR)D311994-01-05No197 Lbs6 ft0NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
Donovan SebrangoWolf Pack (NYR)D232002-01-12Yes221 Lbs6 ft2NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Ethan EdwardsWolf Pack (NYR)D232002-06-06Yes176 Lbs5 ft10NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Francesco PinelliWolf Pack (NYR)C222003-04-11Yes185 Lbs6 ft0NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Givani SmithWolf Pack (NYR)RW271998-02-27Yes214 Lbs6 ft2NoNoNo2Pro & Farm850,000$199,219$850,000$199,219$0$0$No850,000$Lien / Lien NHL
Grigori DenisenkoWolf Pack (NYR)LW252000-06-24Yes198 Lbs5 ft11NoNoNo3Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$999,999$Lien / Lien NHL
Isak RosenWolf Pack (NYR)LW222003-03-15Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Madison BoweyWolf Pack (NYR)D301995-04-22Yes202 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Max McCormickWolf Pack (NYR)LW/RW331992-05-01No188 Lbs5 ft11NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$NoLien / Lien NHL
Miko MatikkaWolf Pack (NYR)RW212003-10-26Yes187 Lbs6 ft3NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Mitchell StephensWolf Pack (NYR)C281997-02-05No203 Lbs6 ft0NoNoNo1Pro & Farm775,000$181,641$775,000$181,641$0$0$NoLien / Lien NHL
Parker GahagenWolf Pack (NYR)G321993-05-17No195 Lbs6 ft2NoNoNo1Pro & Farm780,000$182,812$780,000$182,812$0$0$NoLien / Lien NHL
Ryder KorczakWolf Pack (NYR)C232002-09-23Yes171 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Sean FarrellWolf Pack (NYR)C232001-11-02Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Steven SantiniWolf Pack (NYR)D301995-03-07No214 Lbs6 ft3NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$NoLien / Lien NHL
Topi NiemelaWolf Pack (NYR)D232002-03-25Yes156 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Zach Aston-Reese (sur la masse salariale)Wolf Pack (NYR)C/LW/RW311994-08-10No200 Lbs6 ft1NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$YesLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.83193 Lbs6 ft01.87933,904$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenAnthony RichardCharles Hudon40122
2Max McCormick30122
3Grigori DenisenkoSean FarrellGivani Smith20122
4Miko MatikkaRyder KorczakFrancesco Pinelli10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisSteven Santini40122
2Ben HarpurConnor Carrick30122
3Madison BoweyTopi Niemela20122
4Steven SantiniDakota Mermis10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isak RosenAnthony Richard60122
2Charles HudonMax McCormick40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisSteven Santini60122
2Ben HarpurConnor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charles Hudon60122
2Isak Rosen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisSteven Santini60122
2Ben HarpurConnor Carrick40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dakota MermisSteven Santini60122
240122Ben HarpurConnor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Max McCormick60122
2Isak Rosen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisSteven Santini60122
2Ben HarpurConnor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isak RosenSean FarrellDakota MermisSteven Santini
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonGivani SmithDakota MermisSteven Santini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Isak Rosen, , Grigori DenisenkoIsak Rosen,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Mermis, Topi Niemela, Madison BoweySteven SantiniBen Harpur, Topi Niemela
Tirs de pénalité
Anthony Richard, Charles Hudon, Isak Rosen, Max McCormick, Miko Matikka
Gardien
#1 : Parker Gahagen, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Anthony Richard, Charles Hudon, Isak Rosen, , Max McCormick, , , Grigori Denisenko, Sean Farrell, Givani Smith, Ryder Korczak
Lignes de défense personnalisées en prolongation
Dakota Mermis, Steven Santini, Ben Harpur, Connor Carrick, Topi Niemela


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
1Admirals21000010633110000004221000001021141.00069150077855895274376482549591722474125.00%90100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
2Americans20101000912-3100010005411010000048-420.500917260077855896874376482549983016582150.00%8275.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
3Barracuda2110000046-2110000003211010000014-320.50048120077855899174376482549651512639333.33%5180.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
4Bears3210000014951010000035-222000000114740.667142640007785589110743764825491123516762150.00%80100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
5Bruins303000001015-51010000056-12020000059-400.000101828007785589107743764825491072930611600.00%14378.57%01259232954.06%1182222253.20%51595154.15%150010611392430759380
6Checkers11000000431000000000001100000043121.0004711007785589717437648254931114303133.33%20100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
7Comets2010000168-21000000134-11010000034-110.250611170077855897974376482549832819507228.57%7185.71%01259232954.06%1182222253.20%51595154.15%150010611392430759380
8Condors20100100810-21010000045-11000010045-110.250816240077855897874376482549752718642150.00%9277.78%01259232954.06%1182222253.20%51595154.15%150010611392430759380
9Crunch2100010011741000010056-11100000061530.7501118290077855898074376482549701812476116.67%60100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
10Eagles2010010046-21000010012-11010000034-110.2504711007785589817437648254970182060600.00%9366.67%01259232954.06%1182222253.20%51595154.15%150010611392430759380
11Firebirds2010100069-3100010004311010000026-420.50061218007785589717437648254975241044200.00%40100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
12Griffins21100000761110000004221010000034-120.5007121900778558911174376482549802434536116.67%9188.89%01259232954.06%1182222253.20%51595154.15%150010611392430759380
13Gulls2110000068-21010000005-51100000063320.50061016007785589887437648254974281452200.00%7271.43%01259232954.06%1182222253.20%51595154.15%150010611392430759380
14IceHogs1000000134-1000000000001000000134-110.500358007785589397437648254943141025200.00%4175.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
15Marlies11000000211000000000001100000021121.0002460077855893074376482549171013192150.00%20100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
16Monsters2010010014-31010000013-21000010001-110.250123007785589547437648254972251247500.00%40100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
17Penguins421010002018220101000812-422000000126660.75020375700778558913574376482549205672811612541.67%13192.31%01259232954.06%1182222253.20%51595154.15%150010611392430759380
18Phantoms3110100012111201010007701100000054140.667122234007785589113743764825491052728738450.00%13653.85%01259232954.06%1182222253.20%51595154.15%150010611392430759380
19Reign11000000505000000000001100000050521.0005914017785589367437648254930811215120.00%30100.00%11259232954.06%1182222253.20%51595154.15%150010611392430759380
20Roadrunners21100000550110000004131010000014-320.500510150077855896874376482549632314637228.57%7357.14%01259232954.06%1182222253.20%51595154.15%150010611392430759380
21Rocket2100000112751000000145-11100000082630.7501220320077855899774376482549491918553266.67%9366.67%11259232954.06%1182222253.20%51595154.15%150010611392430759380
22Senators211000008801010000034-11100000054120.5008142200778558975743764825495622204711218.18%10370.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
23Silver Knights220000001459110000006331100000082641.000142539007785589112743764825498122665500.00%3166.67%01259232954.06%1182222253.20%51595154.15%150010611392430759380
24Sound Tigers42200000131302110000078-12110000065140.5001324370077855891317437648254911838207813215.38%90100.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
25Stars11000000523110000005230000000000021.000581300778558933743764825492568275360.00%3166.67%01259232954.06%1182222253.20%51595154.15%150010611392430759380
26Thunderbirds220000001376110000006331100000074341.0001324370077855891167437648254953171057700.00%5260.00%01259232954.06%1182222253.20%51595154.15%150010611392430759380
27Wild11000000523110000005230000000000021.0005101500778558964743764825492738292150.00%3166.67%01259232954.06%1182222253.20%51595154.15%150010611392430759380
28Wolves40300010816-82010001035-220200000511-620.250811190077855891227437648254913737391081300.00%19478.95%01259232954.06%1182222253.20%51595154.15%150010611392430759380
29Wranglers11000000523000000000001100000052321.0005914007785589487437648254935126239111.11%3166.67%01259232954.06%1182222253.20%51595154.15%150010611392430759380
Total60252204423226207192891004212100101-13216120021112610620690.575226405631017785589236074376482549211565447815581763620.45%2074279.71%21259232954.06%1182222253.20%51595154.15%150010611392430759380
_Since Last GM Reset60252204423226207192891004212100101-13216120021112610620690.575226405631017785589236074376482549211565447815581763620.45%2074279.71%21259232954.06%1182222253.20%51595154.15%150010611392430759380
_Vs Conference3513150321113113011628031115567-121911700100766313370.52913123236300778558913047437648254912573922908681022120.59%1262381.75%11259232954.06%1182222253.20%51595154.15%150010611392430759380
_Vs Division2079021106871-31016020102940-1110630010039318210.5256812219000778558966574376482549749229143498531222.64%661183.33%01259232954.06%1182222253.20%51595154.15%150010611392430759380

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6069L122640563123602115654478155801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6025224423226207
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
289104212100101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3216120211126106
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1763620.45%2074279.71%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
743764825497785589
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
1259232954.06%1182222253.20%51595154.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150010611392430759380


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 Knights3Wolf Pack6BWSommaire du match
65 - 2025-12-10476Wolf Pack3IceHogs4ALXXSommaire du match
68 - 2025-12-13500Rocket5Wolf Pack4BLXXSommaire du match
70 - 2025-12-15515Gulls5Wolf Pack0BLSommaire du match
71 - 2025-12-16523Comets4Wolf Pack3BLXXSommaire du match
73 - 2025-12-18541Wolf Pack7Thunderbirds4AWSommaire du match
75 - 2025-12-20549Phantoms3Wolf Pack4BWXSommaire du match
76 - 2025-12-21567Wolf Pack2Admirals1AWXXSommaire du match
78 - 2025-12-23577Wolf Pack3Bears1AWSommaire du match
82 - 2025-12-27588Wolf Pack3Sound Tigers1AWSommaire du match
84 - 2025-12-29608Wolf Pack3Wolves4ALSommaire du match
86 - 2025-12-31622Wolf Pack8Bears3AWSommaire du match
88 - 2026-01-02641Wolf Pack4Checkers3AWSommaire du match
91 - 2026-01-05662Roadrunners1Wolf Pack4BWSommaire du match
94 - 2026-01-08685Americans4Wolf Pack5BWXSommaire du match
96 - 2026-01-10697Wolf Pack2Bruins3ALSommaire du match
98 - 2026-01-12718Firebirds3Wolf Pack4BWXSommaire du match
100 - 2026-01-14737Senators4Wolf Pack3BLSommaire du match
103 - 2026-01-17755Wolf Pack5Phantoms4AWSommaire du match
105 - 2026-01-19779Wolf Pack6Gulls3AWSommaire du match
106 - 2026-01-20787Wolf Pack5Reign0AWSommaire du match
109 - 2026-01-23808Wolf Pack1Barracuda4ALSommaire du match
112 - 2026-01-26826Bruins6Wolf Pack5BLSommaire du match
114 - 2026-01-28842Wolf Pack3Sound Tigers4ALSommaire du match
115 - 2026-01-29848Sound Tigers2Wolf Pack3BWSommaire du match
117 - 2026-01-31861Wolf Pack7Penguins2AWSommaire du match
122 - 2026-02-05905Wolves1Wolf Pack2BWXXSommaire du match
143 - 2026-02-26924Phantoms4Wolf Pack3BLSommaire du match
145 - 2026-02-28934Penguins5Wolf Pack6BWXSommaire du match
147 - 2026-03-02953Monsters3Wolf Pack1BLSommaire du match
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
Assistance55,48827,926
Assistance PCT99.09%99.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-18 2979 - 99.30% 80,629$2,257,613$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,962,882$ 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$ 1,570,241$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,451,323$ 45 13,271$ 597,195$




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
1Charles Hudon1405780137343415829756810.04%46287020.51132134101101912150.35%30.9535
2Zach Aston-Reese132518113236984292485119.98%52270620.51922319001154153.15%20.9804
3Anthony Richard1094774121254418337745810.26%29248322.799243355303138252.36%10.9701
4Dakota Mermis112237497137317316521010.95%211275024.56121729920003210.00%00.7100
5Andrew Agozzino8231518214742491973249.57%28200624.466142058022104149.91%20.8200

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 Bussi42221710.9033.2823250112713070000.8005
3Parker Gahagen239360.9083.10120020626710300.68816
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
202560252204423226207192891004212100101-1321612002111261062069226405631017785589236074376482549211565447815581763620.45%2074279.71%21259232954.06%1182222253.20%51595154.15%150010611392430759380
Total Saison régulière142634901213235204675369272509512248241773362403811272226461705209321452031901771391753611719174918318349101460111836104559520.88%48511077.32%62823542052.08%2720522652.05%1211230052.65%34562398332310451831910
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