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Wolves
GP: 32 | W: 12 | L: 15 | OTL: 5 | P: 29
GF: 86 | GA: 105 | PP%: 16.67% | PK%: 80.65%
DG: Michael Levesque | Morale : 40 | Moyenne d’équipe : 64
Prochains matchs #570 vs Crunch
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Centre de jeu
Wolves
12-15-5, 29pts
2
FINAL
6 Marlies
17-14-5, 39pts
Team Stats
W1SéquenceL1
7-8-3Fiche domicile9-5-3
5-7-2Fiche domicile8-9-2
5-4-1Derniers 10 matchs6-4-0
2.69Buts par match 3.53
3.28Buts contre par match 3.61
16.67%Pourcentage en avantage numérique17.14%
80.65%Pourcentage en désavantage numérique84.92%
Americans
19-15-3, 41pts
2
FINAL
4 Wolves
12-15-5, 29pts
Team Stats
W1SéquenceW1
12-3-2Fiche domicile7-8-3
7-12-1Fiche domicile5-7-2
7-3-0Derniers 10 matchs5-4-1
3.54Buts par match 2.69
3.30Buts contre par match 3.28
18.18%Pourcentage en avantage numérique16.67%
73.74%Pourcentage en désavantage numérique80.65%
Wolves
12-15-5, 29pts
2024-11-21
Crunch
16-17-3, 35pts
Statistiques d’équipe
W1SéquenceL1
7-8-3Fiche domicile10-4-3
5-7-2Fiche visiteur6-13-0
5-4-110 derniers matchs5-5-0
2.69Buts par match 3.22
3.28Buts contre par match 3.22
16.67%Pourcentage en avantage numérique19.71%
80.65%Pourcentage en désavantage numérique76.15%
Admirals
18-13-5, 41pts
2024-11-22
Wolves
12-15-5, 29pts
Statistiques d’équipe
W3SéquenceW1
10-4-4Fiche domicile7-8-3
8-9-1Fiche visiteur5-7-2
5-3-210 derniers matchs5-4-1
3.36Buts par match 2.69
3.42Buts contre par match 2.69
20.91%Pourcentage en avantage numérique16.67%
81.48%Pourcentage en désavantage numérique80.65%
Wolves
12-15-5, 29pts
2024-11-25
Wolf Pack
20-14-2, 42pts
Statistiques d’équipe
W1SéquenceL1
7-8-3Fiche domicile9-7-1
5-7-2Fiche visiteur11-7-1
5-4-110 derniers matchs7-3-0
2.69Buts par match 3.25
3.28Buts contre par match 3.25
16.67%Pourcentage en avantage numérique21.30%
80.65%Pourcentage en désavantage numérique81.31%
Meneurs d'équipe
Buts
Mattias Janmark
11
Passes
Ryan Pilon
19
Points
Ryan Pilon
21
Plus/Moins
Andrew Agozzino
8
Victoires
Anders Lindback
6
Pourcentage d’arrêts
Ville Husso
0.915

Statistiques d’équipe
Buts pour
86
2.69 GFG
Tirs pour
860
26.88 Avg
Pourcentage en avantage numérique
16.7%
16 GF
Début de zone offensive
39.0%
Buts contre
105
3.28 GAA
Tirs contre
990
30.94 Avg
Pourcentage en désavantage numérique
80.6%%
24 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralMichael Levesque
EntraîneurDan Lacroix
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,490
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 56
Espoirs11


Historique d'équipe

Saison actuelle12-15-5 (29PTS)
Historique44-55-12 (0.396%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Connor Zary (R)X100.006545887367808574707574727250457060660233900,000$
2Michael ChaputX100.0068528669727477716867707270675247396503211,000,000$
3Andrew AgozzinoX100.0078459771698684697366657263564942356503311,300,000$
4Nicolas DeslauriersXX100.0080906675737085706067657063795542476503321,300,000$
5Johan LarssonXX100.0062459570717470707167687166785850626503231,500,000$
6Alexander NylanderXX100.006245927270737467656970636456516051640261750,000$
7Curtis MckenzieXX100.0084677368737580656562637165665643476303311,000,000$
8Michael PastujovXX100.0062459173727176666864656763584974476302531,000,000$
9Quentin ShoreX100.005944877371707368706462675963534848620302900,000$
10Patrice CormierXX99.006345916973717767686366676558474328620341950,000$
11Mirko HoefflinXX100.005945917368667268646766656251475021620321800,000$
12Brendan WarrenXX100.006245907269717466666464706053476034620271750,000$
13Madison BoweyX100.0073537675717380714574707460705257466702922,000,000$
14Ryan PilonX100.0062448870787578754574667360675766486702811,800,000$
15Troy StetcherX100.0063509272697585704568667364735653486603021,700,000$
16Mattias BackmanX100.0061428573717179724572716860715845356503211,500,000$
17Kurtis MacDermidX100.0084765970786881694568647567635650426503021,500,000$
18Calle AnderssonX100.006243866876686162456259686055505431610302900,000$
Rayé
1Mattias JanmarkXX100.0065558774737784726570697267766450436703111,800,000$
2Tobias RiederXX59.5560449970707680696267667164736050356503121,300,000$
3William KnierimXX51.567856577375707667656770676256506439630262900,000$
4Brent PedersenXX100.007245857272697361586160665958485419610291700,000$
5Steven FogartyX100.006847766775676858745961686056524523600311800,000$
6Vyacheslav OsnovinX100.0059459270716463646460606560464553205903011,000,000$
7Martin MarincinX91.3960449370757181714569657362665147376503211,300,000$
8Dominik MasinX100.008058647271666866456657755452465429620281800,000$
MOYENNE D’ÉQUIPE96.15675184717272766860676570636252533964
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
1Anders Lindback100.007175768574778179807879696830416503611,600,000$
2Ville Husso98.008389807980737974747175617751506402931,200,000$
Rayé
1Mike Morrison100.00786564807674797677797046525034610321800,000$
MOYENNE D’ÉQUIPE99.3377767381777580767776755966444263
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lacroix76787780767780CAN554100,000$


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
1Ryan PilonWolves (Car)D3221921-48025303816245.26%4375023.452572181011097000%000000.5600000120
2Mattias JanmarkWolves (Car)LW/RW2511617-355122969124315.94%951820.7522410622024821138.79%16500010.6602010210
3Troy StetcherWolves (Car)D322141682602932379305.41%3368121.301342277011089000%000000.4700000001
4Johan LarssonWolves (Car)LW/RW21781544071445132615.56%135416.872135330001332152.50%4000000.8512000111
5Tobias RiederWolves (Car)LW/RW2178154404145282613.46%432315.4013412570000160041.38%2900010.9301000200
6Martin MarincinWolves (Car)D291131421002519428252.38%3259120.380001772000091100%000000.4700000011
7Michael ChaputWolves (Car)C327714-480235260225511.67%957718.0423512610002882148.47%68500000.4801000011
8Andrew AgozzinoWolves (Car)C3041014823520465516397.27%449516.5201111430000370149.71%50900010.5702000101
9Madison BoweyWolves (Car)D2231013-634046182753011.11%2850823.131341358000051000%000000.5100000110
10Connor ZaryWolves (Car)C199413-360163252113317.31%436119.021128470002510244.21%42300110.7212000202
11Nicolas DeslauriersWolves (Car)LW/RW325712-132069347219426.94%557117.861238620000551048.28%5800000.4214000103
12Ryan CarpenterHurricanesLW/RW1163920012102571624.00%318116.49123427000081054.84%3100000.9900000010
13Quentin ShoreWolves (Car)C32538-112042335162314.29%432710.2300012000010049.86%36300000.4900000000
14Mattias BackmanWolves (Car)D24088-52041325480%2239616.5301125000015000%000000.4000000000
15Kurtis MacDermidWolves (Car)D32178-867158222289133.57%5155217.28000923000057000%000000.2900011001
16William KnierimWolves (Car)LW/RW28347-320057145310305.66%742015.010118210000250045.00%6000000.3300000100
17Curtis MckenzieWolves (Car)LW/RW32336-616061164118347.32%544814.03000012000021038.36%7300000.2700000200
18Alexander NylanderWolves (Car)LW/RW23426-134081740102710.00%133614.63213830000051140.00%3500000.3600000010
19Michael PastujovWolves (Car)LW/RW3223502059243208.33%22628.1900008000000040.48%4200000.3800000000
20Chris WagnerHurricanesC11044-700616163120%318717.040001190110190053.23%18600000.4300000000
21Brendan WarrenWolves (Car)LW/RW121233001461716.67%11028.5400000000000040.00%1000000.5900000000
22Dominik MasinWolves (Car)D10022-31602205230%918418.4600014000114000%000000.2200000000
23Patrice CormierWolves (Car)LW/RW11022-300134120%0494.5401112000000033.33%300000.8000000000
24Calle AnderssonWolves (Car)D11112-4603322250.00%918116.500000300007000%000000.2200000000
25Brent PedersenWolves (Car)LW/RW4000-200004110%14611.6000000000000033.33%30000000000000
26Steven FogartyWolves (Car)C4000000000000%000.040000000000000%00000000000000
27Mirko HoefflinWolves (Car)LW/RW4000000233040%1215.50000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne57684150234-55295255444738602265759.77%291943516.381630461748212351085510747.39%271600140.5031402114911
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
1Ville HussoWolves (Car)176720.9152.5693902404700000.88991418211
2Anders LindbackWolves (Car)196830.8793.78100140635200100.75041814110
Statistiques d’équipe totales ou en moyenne36121550.8963.18194142103990010133232321


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 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
Alexander NylanderWolves (Car)LW/RW261998-03-02No192 Lbs6 ft1NoNoTrade2024-04-29NoNo1Pro & Farm750,000$0$0$No------------------Lien
Anders LindbackWolves (Car)G361988-05-03No220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm1,600,000$0$0$No------------------Lien
Andrew AgozzinoWolves (Car)C331991-01-03No187 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Brendan WarrenWolves (Car)LW/RW271997-05-07No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brent PedersenWolves (Car)LW/RW291995-07-05No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Calle AnderssonWolves (Car)D301994-05-16No211 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Connor ZaryWolves (Car)C232001-09-25Yes178 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Curtis MckenzieWolves (Car)LW/RW331991-02-11No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Dominik MasinWolves (Car)D281996-02-01No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Johan LarssonWolves (Car)LW/RW321992-07-25No203 Lbs5 ft11NoNoFree AgentNoNo32024-07-22Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Kurtis MacDermidWolves (Car)D301994-03-25No233 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Madison BoweyWolves (Car)D291995-04-22No198 Lbs6 ft2NoNoFree Agent2024-01-08NoNo22024-05-09Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Martin Marincin (sur la masse salariale)Wolves (Car)D321992-02-18No217 Lbs6 ft5NoNoN/ANoNo1Pro & Farm1,300,000$0$0$Yes------------------Lien
Mattias BackmanWolves (Car)D321992-10-03No180 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Mattias JanmarkWolves (Car)LW/RW311992-12-08No205 Lbs6 ft2NoNoFree AgentNoNo12024-07-10Pro & Farm1,800,000$0$0$No------------------Lien
Michael ChaputWolves (Car)C321992-04-09No199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Michael PastujovWolves (Car)LW/RW251999-08-23No190 Lbs6 ft0NoNoN/ANoNo32024-05-09Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Mike MorrisonWolves (Car)G321992-11-01No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Mirko HoefflinWolves (Car)LW/RW321992-06-18No174 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Nicolas DeslauriersWolves (Car)LW/RW331991-02-22No218 Lbs6 ft1NoNoFree AgentNoNo22024-07-24Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Patrice CormierWolves (Car)LW/RW341990-06-14No213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------Lien
Quentin ShoreWolves (Car)C301994-05-25No183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Ryan PilonWolves (Car)D281996-10-10No208 Lbs6 ft3NoNoN/ANoNo12024-05-09Pro & Farm1,800,000$0$0$No------------------Lien
Steven FogartyWolves (Car)C311993-04-19No206 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Tobias Rieder (sur la masse salariale)Wolves (Car)LW/RW311993-01-10No190 Lbs5 ft10NoNoFree AgentNoNo22024-07-22Pro & Farm1,300,000$0$0$Yes1,300,000$--------No--------Lien
Troy StetcherWolves (Car)D301994-04-07No184 Lbs5 ft10NoNoFree AgentNoNo22024-07-12Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Ville HussoWolves (Car)G291995-02-06No205 Lbs6 ft2NoNoTrade2024-07-27NoNo32024-04-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Vyacheslav OsnovinWolves (Car)C301994-03-05No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
William Knierim (sur la masse salariale)Wolves (Car)LW/RW261998-01-22No205 Lbs6 ft3NoNoN/ANoNo22024-05-09Pro & Farm900,000$0$0$Yes900,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2930.14200 Lbs6 ft21.551,163,793$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersConnor ZaryJohan Larsson25122
2Patrice CormierMichael ChaputAlexander Nylander25122
3Curtis MckenzieAndrew AgozzinoMichael Pastujov25122
4Mirko HoefflinQuentin ShorePatrice Cormier25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon25122
2Troy StetcherMattias Backman25122
3Kurtis MacDermidCalle Andersson25122
4Madison BoweyRyan Pilon25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersConnor ZaryJohan Larsson50122
2Alexander NylanderMichael ChaputPatrice Cormier50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMattias Backman50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor ZaryNicolas Deslauriers50122
2Michael ChaputAlexander Nylander50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMattias Backman50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor Zary50122Madison BoweyRyan Pilon50122
2Michael Chaput50122Troy StetcherMattias Backman50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor ZaryNicolas Deslauriers50122
2Michael ChaputAlexander Nylander50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMattias Backman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersConnor ZaryJohan LarssonMadison BoweyRyan Pilon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersConnor ZaryJohan LarssonMadison BoweyRyan Pilon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Agozzino, Alexander Nylander, Curtis MckenzieAndrew Agozzino, Alexander NylanderAndrew Agozzino
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Backman, Kurtis MacDermid, Calle AnderssonMattias BackmanMattias Backman, Kurtis MacDermid
Tirs de pénalité
Connor Zary, Nicolas Deslauriers, Johan Larsson, Michael Chaput, Andrew Agozzino
Gardien
#1 : Anders Lindback, #2 : Ville Husso


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
1Americans21100000440110000004221010000002-220.50048120024283054725432127326721925304125.00%80100.00%0478104745.65%558113149.34%25150449.80%740492776244426211
2BruinsF2010010057-21010000023-11000010034-110.25059140024283056025432127326531514265120.00%7271.43%0478104745.65%558113149.34%25150449.80%740492776244426211
3Canucks1000000134-11000000134-10000000000010.50035800242830536254321273262610418500.00%2150.00%0478104745.65%558113149.34%25150449.80%740492776244426211
4Checkers2010001047-3000000000002010001047-320.5004590024283056025432127326551710387114.29%4175.00%0478104745.65%558113149.34%25150449.80%740492776244426211
5Comets2010100034-12010100034-10000000000020.5003580024283055625432127326702124349111.11%120100.00%0478104745.65%558113149.34%25150449.80%740492776244426211
6Crunch2020000028-61010000013-21010000015-400.000246002428305512543212732661232931900.00%10460.00%0478104745.65%558113149.34%25150449.80%740492776244426211
7Firebirds21000010853110000005321000001032141.00081220002428305592543212732669261840400.00%9277.78%1478104745.65%558113149.34%25150449.80%740492776244426211
8Islanders311001001214-220100100812-41100000042230.5001223350024283059425432127326902022576233.33%10370.00%0478104745.65%558113149.34%25150449.80%740492776244426211
9Marlies1010000026-4000000000001010000026-400.0002460024283051425432127326429616100.00%3166.67%0478104745.65%558113149.34%25150449.80%740492776244426211
10Monsters1010000035-21010000035-20000000000000.000369002428305222543212732634141020000%4175.00%0478104745.65%558113149.34%25150449.80%740492776244426211
11Moose11000000651110000006510000000000021.000611170024283053425432127326346915400.00%2150.00%0478104745.65%558113149.34%25150449.80%740492776244426211
12PenguinsF3120000079-22110000045-11010000034-120.333712190024283056425432127326933741416116.67%14378.57%1478104745.65%558113149.34%25150449.80%740492776244426211
13Roadrunners1010000013-2000000000001010000013-200.00012300242830527254321273262168143133.33%30100.00%0478104745.65%558113149.34%25150449.80%740492776244426211
14Rocket20101000550000000000002010100055020.5005914002428305552543212732644712339111.11%60100.00%0478104745.65%558113149.34%25150449.80%740492776244426211
15SenatorsF311001001112-1211000007701000010045-130.50011193000242830589254321273268630335113646.15%13284.62%0478104745.65%558113149.34%25150449.80%740492776244426211
16Wolf Pack311000019722010000157-21100000040430.5009152401242830571254321273261092128568112.50%14378.57%0478104745.65%558113149.34%25150449.80%740492776244426211
17Wranglers11000000101110000001010000000000021.00011201242830521254321273263110624300.00%30100.00%0478104745.65%558113149.34%25150449.80%740492776244426211
Total328150232286105-191868011025260-81427012203445-11290.4538615023602242830586025432127326990291299544961616.67%1242480.65%2478104745.65%558113149.34%25150449.80%740492776244426211
_Since Last GM Reset328150232286105-191868011025260-81427012203445-11290.4538615023602242830586025432127326990291299544961616.67%1242480.65%2478104745.65%558113149.34%25150449.80%740492776244426211
_Vs Conference28713023217893-151557011014551-61326012203342-9260.4647813621401242830575425432127326878251271468851517.65%1122280.36%2478104745.65%558113149.34%25150449.80%740492776244426211

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3229W18615023686099029129954402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
32815232286105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
186811025260
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
142712203445
Derniers 10 matchs
WLOTWOTL SOWSOL
340021
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
961616.67%1242480.65%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
254321273262428305
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
478104745.65%558113149.34%25150449.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
740492776244426211


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 - 2024-09-036Wolves4SenatorsF5ALXSommaire du match
3 - 2024-09-0522SenatorsF5Wolves4BLSommaire du match
6 - 2024-09-0836Wolves1Crunch5ALSommaire du match
8 - 2024-09-1052Wolves4Islanders2AWSommaire du match
9 - 2024-09-1163Islanders6Wolves3BLSommaire du match
12 - 2024-09-1483PenguinsF2Wolves3BWSommaire du match
14 - 2024-09-16103Crunch3Wolves1BLSommaire du match
16 - 2024-09-18115Wolves1Checkers5ALSommaire du match
19 - 2024-09-21137Wolves3PenguinsF4ALSommaire du match
21 - 2024-09-23148Comets1Wolves2BWXSommaire du match
24 - 2024-09-26172Islanders6Wolves5BLXSommaire du match
27 - 2024-09-29194Wolves4Rocket3AWXSommaire du match
28 - 2024-09-30206Moose5Wolves6BWSommaire du match
31 - 2024-10-03227Monsters5Wolves3BLSommaire du match
35 - 2024-10-07250Wolves4Wolf Pack0AWSommaire du match
37 - 2024-10-09260Wolves3BruinsF4ALXSommaire du match
38 - 2024-10-10271Wranglers0Wolves1BWSommaire du match
41 - 2024-10-13291Canucks4Wolves3BLXXSommaire du match
44 - 2024-10-16315Wolves1Rocket2ALSommaire du match
46 - 2024-10-18329Comets3Wolves1BLSommaire du match
50 - 2024-10-22354BruinsF3Wolves2BLSommaire du match
53 - 2024-10-25383Wolves1Roadrunners3ALSommaire du match
54 - 2024-10-26386SenatorsF2Wolves3BWSommaire du match
59 - 2024-10-31417Wolf Pack4Wolves3BLXXSommaire du match
63 - 2024-11-04449Firebirds3Wolves5BWSommaire du match
66 - 2024-11-07468Wolves3Checkers2AWXXSommaire du match
68 - 2024-11-09481Wolf Pack3Wolves2BLSommaire du match
70 - 2024-11-11494Wolves3Firebirds2AWXXSommaire du match
72 - 2024-11-13511Wolves0Americans2ALSommaire du match
73 - 2024-11-14515PenguinsF3Wolves1BLSommaire du match
76 - 2024-11-17535Wolves2Marlies6ALSommaire du match
77 - 2024-11-18545Americans2Wolves4BWSommaire du match
80 - 2024-11-21570Wolves-Crunch-
81 - 2024-11-22577Admirals-Wolves-
84 - 2024-11-25602Wolves-Wolf Pack-
85 - 2024-11-26609Phantoms-Wolves-
88 - 2024-11-29629Wolves-Reign-
89 - 2024-11-30641Phantoms-Wolves-
92 - 2024-12-03661Wolves-Comets-
93 - 2024-12-04673Firebirds-Wolves-
96 - 2024-12-07693Wolves-Firebirds-
98 - 2024-12-09705Monsters-Wolves-
99 - 2024-12-10715Wolves-StarsF-
102 - 2024-12-13735Wolves-Americans-
103 - 2024-12-14741Islanders-Wolves-
107 - 2024-12-18769Thunderbirds-Wolves-
109 - 2024-12-20784Wolves-BruinsF-
111 - 2024-12-22799Wolves-Comets-
112 - 2024-12-23803Moose-Wolves-
115 - 2024-12-26824Wolves-Eagles-
117 - 2024-12-28837Bears-Wolves-
120 - 2024-12-31863Wolves-Marlies-
121 - 2025-01-01870Crunch-Wolves-
125 - 2025-01-05897Iowa Wild-Wolves-
127 - 2025-01-07922Wranglers-Wolves-
129 - 2025-01-09932Wolves-Bears-
130 - 2025-01-10936Wolves-SenatorsF-
132 - 2025-01-12958Wolves-Silver Knights-
134 - 2025-01-14967BruinsF-Wolves-
137 - 2025-01-17992Wolves-Moose-
138 - 2025-01-18999Checkers-Wolves-
140 - 2025-01-201017Wolves-PenguinsF-
142 - 2025-01-221030Marlies-Wolves-
145 - 2025-01-251056Wolves-Moose-
146 - 2025-01-261061Americans-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301090Checkers-Wolves-
154 - 2025-02-031121Bears-Wolves-
155 - 2025-02-041129Wolves-Phantoms-
159 - 2025-02-081153Rocket-Wolves-
160 - 2025-02-091159Wolves-Gulls-
164 - 2025-02-131185Condors-Wolves-
166 - 2025-02-151200Wolves-Islanders-
168 - 2025-02-171216Rocket-Wolves-
169 - 2025-02-181221Wolves-Wranglers-
172 - 2025-02-211232Wolves-Bears-
174 - 2025-02-231249Icehogs-Wolves-
175 - 2025-02-241253Wolves-Griffins-
176 - 2025-02-251259Wolves-Barracuda-
178 - 2025-02-271276Wolves-Phantoms-
180 - 2025-03-011282Marlies-Wolves-
181 - 2025-03-021294Wolves-Islanders-
183 - 2025-03-041310Wolves-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,85416,969
Assistance PCT77.37%94.27%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2490 - 83.01% 101,769$1,831,843$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,377,347$ 3,025,000$ 3,005,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,334,652$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,340,688$ 106 16,892$ 1,790,552$




Wolves 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
1Andrew Agozzino104234063-743881892588.91%18205619.7747115101121250.99%10.6108
2Michael Chaput113293261-25012318826211.07%23201117.80612184800096149.36%00.61413
3Martin Marincin92104757-113873761138.85%110192520.934913410000210%00.5900
4Mattias Backman100133952-274075731379.49%107205720.586915540002100%00.5100
5Jalen Chatfield66163147-1538767915610.26%89149322.6311718830111310%00.6311

Wolves 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
1Anders Lindback71252990.8893.3136938220418450120.75833
2Jack Campbell41131940.8923.1722178311710850000.80010
3Ville Husso176720.9152.5693902404700000.8899
4Mike Morrison30000.8463.43700042601000

Wolves 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
1582244002466218270-5241122000153110137-2741122002313108133-25742183785962571776211218469871774858243868168113862405020.83%2795879.21%21378270950.87%1382283148.82%668130251.31%1955133019366171096545
16328150232286105-191868011025260-81427012203445-11298615023602242830586025432127326990291299544961616.67%1242480.65%2478104745.65%558113149.34%25150449.80%740492776244426211
Total Saison régulière114325504788304375-7159182801255162197-3555142703533142178-361033045288322795105921630449521038102184342897298019303366619.64%4038279.65%41856375649.41%1940396248.97%919180650.89%2696182227138621522757
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Wolves 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

Wolves 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