Connexion

Wolves
GP: 45 | W: 17 | L: 23 | OTL: 5 | P: 39
GF: 107 | GA: 138 | PP%: 20.16% | PK%: 81.58%
DG: Michael Levesque | Morale : 52 | Moyenne d’équipe : 62
Prochains matchs #718 vs Moose
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Centre de jeu
Wolves
17-23-5, 39pts
1
FINAL
7 Griffins
34-9-2, 70pts
Team Stats
L2StreakW2
10-11-1Home Record17-3-2
7-12-4Away Record17-6-0
5-3-2Last 10 Games7-3-0
2.38Buts par match 4.09
3.07Buts contre par match 2.71
20.16%Pourcentage en avantage numérique20.59%
81.58%Pourcentage en désavantage numérique79.17%
Icehogs
19-20-7, 45pts
3
FINAL
0 Wolves
17-23-5, 39pts
Team Stats
W1StreakL2
12-5-4Home Record10-11-1
7-15-3Away Record7-12-4
6-2-2Last 10 Games5-3-2
2.87Buts par match 2.38
3.17Buts contre par match 3.07
19.01%Pourcentage en avantage numérique20.16%
82.61%Pourcentage en désavantage numérique81.58%
Wolves
17-23-5, 39pts
2023-11-29
Moose
19-20-4, 42pts
Statistiques d’équipe
L2SéquenceL1
10-11-1Fiche domicile10-10-2
7-12-4Fiche visiteur9-10-2
5-3-210 derniers matchs5-4-1
2.38Buts par match 3.26
3.07Buts contre par match 3.26
20.16%Pourcentage en avantage numérique20.28%
81.58%Pourcentage en désavantage numérique74.22%
Marlies
26-16-1, 53pts
2023-12-02
Wolves
17-23-5, 39pts
Statistiques d’équipe
W1SéquenceL2
13-8-1Fiche domicile10-11-1
13-8-0Fiche visiteur7-12-4
8-2-010 derniers matchs5-3-2
3.77Buts par match 2.38
3.21Buts contre par match 2.38
31.50%Pourcentage en avantage numérique20.16%
78.36%Pourcentage en désavantage numérique81.58%
Crunch
28-15-1, 57pts
2023-12-04
Wolves
17-23-5, 39pts
Statistiques d’équipe
L1SéquenceL2
15-6-1Fiche domicile10-11-1
13-9-0Fiche visiteur7-12-4
5-4-110 derniers matchs5-3-2
3.32Buts par match 2.38
2.70Buts contre par match 2.38
22.30%Pourcentage en avantage numérique20.16%
82.91%Pourcentage en désavantage numérique81.58%
Meneurs d'équipe
Buts
Andrew Agozzino
10
Passes
Nick Seeler
16
Points
Andrew Agozzino
25
Plus/Moins
Dominik Masin
5
Victoires
Anders Lindback
10
Pourcentage d’arrêts
Jack Campbell
0.905

Statistiques d’équipe
Buts pour
107
2.38 GFG
Tirs pour
1108
24.62 Avg
Pourcentage en avantage numérique
20.2%
26 GF
Début de zone offensive
38.1%
Buts contre
138
3.07 GAA
Tirs contre
1390
30.89 Avg
Pourcentage en désavantage numérique
81.6%%
28 GA
Début de la zone défensive
43.2%
Informations de l'équipe

Directeur généralMichael Levesque
EntraîneurDan Lacroix
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineGabriel Dumont
Assistant #1
Assistant #2Mattias Backman


Informations de l’aréna

Capacité3,000
Assistance2,507
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 55
Espoirs10


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
1Andrew AgozzinoX100.0080459971698482697565657363514646496503221,300,000$
2Michael ChaputX100.0067518669727275716667697268624950416403121,000,000$
3William KnierimX100.007655587274687468676870696051476641630251700,000$
4Quentin ShoreX100.006044857371717169696663675959535147620293900,000$
5Brendan WarrenX97.006346897269697267686564726048456037620262750,000$
6Michael PastujovX97.006345907271697466676565676253477640620241750,000$
7Tomas VincourX100.005943896872686964646262666664554452610331800,000$
8Brent PedersenX100.007245847272707162596261655954485746610282700,000$
9Mirko HoefflinX100.006045917368677069636766676347465338610312800,000$
10Jacob LagaceX100.006548857068687762636061656067494131600331800,000$
11Steven FogartyX100.006748786775697059726163666055524819600302800,000$
12Victor OhmanX100.005745896970656859635863636049454918580311800,000$
13Jalen ChatfieldX100.0066458774707788714570687366564762586602711,500,000$
14Ryan PilonX100.0063448669777476744574667360645669376602711,700,000$
15Martin MarincinX100.0061449470757079714568647462614950386503121,300,000$
16Mattias Backman (A)X100.0061428473716977724572696960665648526503121,500,000$
17Nick SeelerX100.0071487570737174724571627159554951446403011,500,000$
18Ville PokkaX100.006845836873676565456663685954505318620291900,000$
Rayé
1Curtis MckenzieX98.3783667568737378666463637165625547466303221,000,000$
2Gabriel Dumont (C)X96.0068508872687379617762606867746547446303311,000,000$
3Vyacheslav OsnovinX100.0059459370716564656561616660454556195902921,000,000$
4Alex BelzileX100.006156637165586351525151615865614520550321700,000$
5Dominik MasinX100.008057657271676665456655755449455745620272800,000$
6Calle AnderssonX100.006343846876686264456461686054505720620293900,000$
MOYENNE D’ÉQUIPE99.50664883717170736659656369615750533862
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
1Jack Campbell100.006968697772818478788273556645446403111,000,000$
Rayé
1Anders Lindback93.007273748575778179807877656534336503521,600,000$
2Mike Morrison100.00786766807676817879817245515330620312800,000$
MOYENNE D’ÉQUIPE97.6773697081747882787980745561443664
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lacroix73747676747582CAN545100,000$


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
1Andrew AgozzinoWolves (Car)C41101525-7180408310932909.17%1187821.4332522920111990052.24%93800000.5703000212
2Michael ChaputWolves (Car)C4491524-523554669319739.68%970916.13156181000002741048.18%71400100.6837100201
3Mattias BackmanWolves (Car)D4571421-15240524358165112.07%4698921.9943726970002109100.00%000000.4200000102
4Nick SeelerWolves (Car)D4531619-21403934348288.82%3583318.53123756000078000.00%000000.4600000010
5Dominik MasinWolves (Car)D3351217539556231661431.25%3556417.11011110101237000.00%000000.6000001110
6Jalen ChatfieldWolves (Car)D317916-9120243963223611.11%3569722.505273482011069210.00%000000.4600000011
7Curtis MckenzieWolves (Car)LW4279161511588287413529.46%867616.11033423000040050.00%4400000.4702102121
8Brendan WarrenWolves (Car)LW377916-144013398721688.05%865217.62224932000051045.00%4000000.4900000111
9Gabriel DumontWolves (Car)C3831316-84025614713496.38%477420.381457640001991051.97%83900000.4101000000
10Martin MarincinWolves (Car)D3141014-13120202935132211.43%4864720.902461247000058010.00%000000.4300000130
11William KnierimWolves (Car)RW376814-14541080286417559.38%468518.5212311590000530042.27%9700000.4100110220
12Mirko HoefflinWolves (Car)LW403912-142013405721485.26%256014.021239480002220248.01%30200000.4300000101
13Ryan PilonWolves (Car)D3711112-91003036469232.17%5576020.550441756000070000.00%000000.3200000101
14Michael PastujovWolves (Car)RW316612-160212153214211.32%259519.2024611680001712050.00%5600000.4012000003
15Quentin ShoreWolves (Car)C45561124019425816408.62%463214.060336630000262053.22%35700000.3502000101
16Patrice CormierHurricanesRW368311-540241947132917.02%548613.511013440000431148.78%4100000.4500000113
17Kurtis MacDermidHurricanesD364711-79220103325519337.27%4475520.981122081000180100.00%000000.2900301000
18Brent PedersenWolves (Car)LW405510-40038243032316.67%643010.77000170000100142.93%20500000.4600000011
19Ryan SpoonerHurricanesLW18246-720613305206.67%232317.990224240002101035.29%1700000.3700000010
20Ryan CarpenterHurricanesRW7134-220187205135.00%013319.02112720000001050.00%400000.6000000100
21Ville PokkaWolves (Car)D7112-2406471314.29%611917.0000002000010000.00%100000.3400000000
22Tomas VincourWolves (Car)RW45022-340810189210.00%22926.5000000000020059.09%2200000.1401000000
23Jacob LagaceWolves (Car)RW19000000022150.00%0392.1000015000010050.00%200000.00%00000000
24Alex BelzileWolves (Car)RW5000000000000.00%010.210000100000000.00%000000.00%00000000
25Victor OhmanWolves (Car)LW3000-100000110.00%0165.53000000000000100.00%200000.00%00000000
26Calle AnderssonWolves (Car)D5000-420532120.00%48717.520001200006000.00%000000.00%00000000
27Steven FogartyWolves (Car)C12000-220313110.00%1221.8600010000000052.38%2100000.00%00000000
Statistiques d’équipe totales ou en moyenne810104187291-1403895578572711083068429.39%3761336716.50264773232109412314104714650.16%370200100.44418614161518
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
1Anders LindbackWolves (Car)29101250.9042.95152541757790010.737192618221
2Jack CampbellWolves (Car)2371100.9052.88120942586100000.00%01926220
Statistiques d’équipe totales ou en moyenne52172350.9042.922734831331389001194544441


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 Waiver Possible Contrat Type Salaire actuel Plafond 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
Alex BelzileWolves (Car)RW321991-08-31No180 Lbs6 ft0NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Anders Lindback (sur la masse salariale)Wolves (Car)G351988-05-03No220 Lbs6 ft6NoNoNoNo2Pro & Farm1,600,000$0$0$Yes1,600,000$Lien
Andrew AgozzinoWolves (Car)C321991-01-03No187 Lbs5 ft10NoNoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$Lien
Brendan WarrenWolves (Car)LW261997-05-07No192 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Brent PedersenWolves (Car)LW281995-07-05No210 Lbs6 ft2NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Calle AnderssonWolves (Car)D291994-05-16No211 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Curtis MckenzieWolves (Car)LW321991-02-11No205 Lbs6 ft2NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Dominik MasinWolves (Car)D271996-02-01No200 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Gabriel DumontWolves (Car)C331990-10-06No191 Lbs5 ft10NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Jack CampbellWolves (Car)G311992-01-09No197 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Jacob LagaceWolves (Car)RW331990-01-09No191 Lbs5 ft10NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Jalen ChatfieldWolves (Car)D271996-05-15No188 Lbs6 ft1NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien
Martin MarincinWolves (Car)D311992-02-18No217 Lbs6 ft5NoNoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$Lien
Mattias BackmanWolves (Car)D311992-10-03No180 Lbs6 ft2NoNoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Michael ChaputWolves (Car)C311992-04-09No199 Lbs6 ft2NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Michael PastujovWolves (Car)RW241999-08-23No190 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Mike MorrisonWolves (Car)G311992-11-01No202 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Mirko HoefflinWolves (Car)LW311992-06-18No174 Lbs6 ft0NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Nick SeelerWolves (Car)D301993-06-03No200 Lbs6 ft2NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien
Quentin ShoreWolves (Car)C291994-05-25No183 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Ryan PilonWolves (Car)D271996-10-10No208 Lbs6 ft3NoNoNoNo1Pro & Farm1,700,000$0$0$NoLien
Steven FogartyWolves (Car)C301993-04-19No206 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Tomas VincourWolves (Car)RW331990-11-19No213 Lbs6 ft3NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Victor OhmanWolves (Car)LW311992-04-07No209 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Ville PokkaWolves (Car)D291994-06-03No214 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Vyacheslav OsnovinWolves (Car)C291994-03-05No202 Lbs6 ft0NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
William KnierimWolves (Car)RW251998-01-22No205 Lbs6 ft3NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.89199 Lbs6 ft11.631,011,111$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan WarrenAndrew AgozzinoWilliam Knierim35113
2Brent PedersenMirko HoefflinMichael Pastujov35113
3Quentin ShoreMichael ChaputJacob Lagace20122
4Victor OhmanSteven FogartyTomas Vincour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldMartin Marincin35131
2Ryan PilonMattias Backman35131
3Nick SeelerVille Pokka30131
4Mattias BackmanRyan Pilon0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan WarrenAndrew AgozzinoMichael Pastujov50104
2Brent PedersenMichael ChaputWilliam Knierim50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldRyan Pilon50014
2Nick SeelerMattias Backman50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrew AgozzinoBrendan Warren50041
2Michael ChaputMichael Pastujov50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerRyan Pilon50050
2Jalen ChatfieldMattias Backman50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Agozzino50050Jalen ChatfieldRyan Pilon50050
2Michael Chaput50050Nick SeelerMattias Backman50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrew AgozzinoMichael Pastujov50113
2Michael ChaputWilliam Knierim50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerRyan Pilon50131
2Jalen ChatfieldMattias Backman50131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael ChaputAndrew AgozzinoMichael PastujovJalen ChatfieldRyan Pilon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael ChaputAndrew AgozzinoMichael PastujovJalen ChatfieldRyan Pilon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mirko Hoefflin, Michael Pastujov, Michael ChaputBrendan Warren, Michael ChaputMichael Chaput
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Seeler, Jalen Chatfield, Mattias BackmanNick SeelerJalen Chatfield, Nick Seeler
Tirs de pénalité
Michael Pastujov, Michael Chaput, Tomas Vincour, William Knierim, Andrew Agozzino
Gardien
#1 : , #2 : Jack Campbell


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
1Admirals11000000312110000003120000000000021.0003580029393552734835639329185811300.00%40100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
2Americans31200000990110000005142020000048-420.333917260029393557734835639329982723567342.86%9188.89%0710140950.39%791160149.41%35669251.45%10497081089340597296
3Barracuda1010000013-2000000000001010000013-200.0001230029393551534835639329316819300.00%4175.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
4Bears11000000505000000000001100000050521.00051015012939355223483563932924815165120.00%50100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
5BruinsF2000000246-2000000000002000000246-220.500481200293935554348356393296217851400.00%4175.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
6Canucks11000000321110000003210000000000021.0003580029393552234835639329346819300.00%30100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
7Checkers1010000036-3000000000001010000036-300.00035810293935531348356393292954205120.00%2150.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
8Comets1010000014-3000000000001010000014-300.000123002939355323483563932931121218200.00%5260.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
9Crunch311001001082110000005142010010057-230.5001018280029393558434835639329702422479222.22%11281.82%0710140950.39%791160149.41%35669251.45%10497081089340597296
10Eagles1010000034-11010000034-10000000000000.0003580029393553634835639329351015165360.00%50100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
11Firebirds1010000036-3000000000001010000036-300.000358002939355263483563932934102014300.00%4250.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
12Griffins1010000017-6000000000001010000017-600.00012300293935522348356393294414417200.00%20100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
13Gulls2010100067-1000000000002010100067-120.50061117002939355473483563932983201439500.00%7271.43%0710140950.39%791160149.41%35669251.45%10497081089340597296
14Icehogs1010000003-31010000003-30000000000000.0000000029393552734835639329296815200.00%40100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
15Iowa Wild2010001046-22010001046-20000000000020.5004590029393554034835639329731612339222.22%60100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
16Islanders1010000013-21010000013-20000000000000.0001230029393552234835639329316420300.00%20100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
17Marlies30200001311-81010000015-42010000126-410.1673690029393556334835639329913438699111.11%9277.78%0710140950.39%791160149.41%35669251.45%10497081089340597296
18Monsters1010000003-31010000003-30000000000000.00000000293935523348356393293312414100.00%10100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
19Moose21000010734100000103211100000041341.000711180029393555334835639329751614326350.00%7185.71%0710140950.39%791160149.41%35669251.45%10497081089340597296
20PenguinsF2020000027-52020000027-50000000000000.0002460029393554634835639329621610343133.33%5260.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
21Phantoms21100000541110000003121010000023-120.50057120029393554034835639329451320386116.67%100100.00%1710140950.39%791160149.41%35669251.45%10497081089340597296
22Reign11000000202000000000001100000020221.000246012939355203483563932926722153133.33%10100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
23Rocket1010000005-51010000005-50000000000000.00000000293935528348356393293341015400.00%5260.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
24SenatorsF413000001017-720200000613-72110000044020.2501016260029393558634835639329116314757700.00%16662.50%0710140950.39%791160149.41%35669251.45%10497081089340597296
25Silver Knights11000000312000000000001100000031221.0003690029393552434835639329441116243133.33%8187.50%0710140950.39%791160149.41%35669251.45%10497081089340597296
26StarsF11000000404000000000001100000040421.000471101293935530348356393291944235360.00%20100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
27Thunderbirds11000000321110000003210000000000021.0003580029393552334835639329391169200.00%30100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
28Wolf Pack20000011770200000117700000000000030.750712190029393556734835639329581819287228.57%7271.43%0710140950.39%791160149.41%35669251.45%10497081089340597296
29Wranglers11000000431110000004310000000000021.000471100293935521348356393292372163133.33%10100.00%0710140950.39%791160149.41%35669251.45%10497081089340597296
Total45132301134107138-3122711000315369-1623612011035469-15390.43310718729413293935511083483563932913903763977851292620.16%1522881.58%1710140950.39%791160149.41%35669251.45%10497081089340597296
_Since Last GM Reset45132301134107138-3122711000315369-1623612011035469-15390.43310718729413293935511083483563932913903763977851292620.16%1522881.58%1710140950.39%791160149.41%35669251.45%10497081089340597296
_Vs Conference29616001247096-261337000213345-121639001033751-14210.3627012319311293935573134835639329859241266515801518.75%1012476.24%1710140950.39%791160149.41%35669251.45%10497081089340597296

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4539L21071872941108139037639778513
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4513231134107138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2271100315369
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2361211035469
Derniers 10 matchs
WLOTWOTL SOWSOL
230131
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1292620.16%1522881.58%1
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
348356393292939355
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
710140950.39%791160149.41%35669251.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10497081089340597296


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 - 2023-08-256Wolves2Marlies3ALXXSommaire du match
3 - 2023-08-2719Wolves5Bears0AWSommaire du match
5 - 2023-08-2930Wolf Pack4Wolves3BLXXSommaire du match
7 - 2023-08-3147Wolves3Crunch4ALSommaire du match
8 - 2023-09-0159Iowa Wild3Wolves0BLSommaire du match
11 - 2023-09-0480Wolves3BruinsF4ALXXSommaire du match
12 - 2023-09-0591PenguinsF4Wolves1BLSommaire du match
15 - 2023-09-08109Wolves4Moose1AWSommaire du match
17 - 2023-09-10125Crunch1Wolves5BWSommaire du match
19 - 2023-09-12143Wolves2Gulls4ALSommaire du match
21 - 2023-09-14156Marlies5Wolves1BLSommaire du match
23 - 2023-09-16171Wolves1Americans2ALSommaire du match
24 - 2023-09-17184Wolves1Comets4ALSommaire du match
26 - 2023-09-19194SenatorsF6Wolves5BLSommaire du match
29 - 2023-09-22219Islanders3Wolves1BLSommaire du match
33 - 2023-09-26244Wolves0Marlies3ALSommaire du match
34 - 2023-09-27253Americans1Wolves5BWSommaire du match
38 - 2023-10-01279Thunderbirds2Wolves3BWSommaire du match
41 - 2023-10-04300Wolves4StarsF0AWSommaire du match
42 - 2023-10-05310Wranglers3Wolves4BWSommaire du match
44 - 2023-10-07330Rocket5Wolves0BLSommaire du match
47 - 2023-10-10351Wolves1Barracuda3ALSommaire du match
49 - 2023-10-12363Phantoms1Wolves3BWSommaire du match
52 - 2023-10-15385Wolves3Silver Knights1AWSommaire du match
54 - 2023-10-17398Eagles4Wolves3BLSommaire du match
57 - 2023-10-20420Wolves2Reign0AWSommaire du match
58 - 2023-10-21432PenguinsF3Wolves1BLSommaire du match
61 - 2023-10-24455Wolves3Checkers6ALSommaire du match
62 - 2023-10-25462Monsters3Wolves0BLSommaire du match
65 - 2023-10-28478Wolves3Firebirds6ALSommaire du match
68 - 2023-10-31495Wolves1SenatorsF3ALSommaire du match
69 - 2023-11-01503Admirals1Wolves3BWSommaire du match
72 - 2023-11-04525Wolves4Gulls3AWXSommaire du match
73 - 2023-11-05533SenatorsF7Wolves1BLSommaire du match
76 - 2023-11-08554Wolves3Americans6ALSommaire du match
77 - 2023-11-09563Moose2Wolves3BWXXSommaire du match
80 - 2023-11-12582Wolves3SenatorsF1AWSommaire du match
82 - 2023-11-14594Wolf Pack3Wolves4BWXXSommaire du match
84 - 2023-11-16617Wolves2Phantoms3ALSommaire du match
86 - 2023-11-18627Canucks2Wolves3BWSommaire du match
88 - 2023-11-20644Wolves1BruinsF2ALXXSommaire du match
90 - 2023-11-22660Wolves2Crunch3ALXSommaire du match
91 - 2023-11-23667Iowa Wild3Wolves4BWXXSommaire du match
94 - 2023-11-26689Wolves1Griffins7ALSommaire du match
95 - 2023-11-27697Icehogs3Wolves0BLSommaire du match
97 - 2023-11-29718Wolves-Moose-
100 - 2023-12-02731Marlies-Wolves-
102 - 2023-12-04753Crunch-Wolves-
104 - 2023-12-06770Wolves-Marlies-
106 - 2023-12-08784Phantoms-Wolves-
109 - 2023-12-11798Wolves-Islanders-
111 - 2023-12-13816Wolves-Phantoms-
112 - 2023-12-14827Checkers-Wolves-
114 - 2023-12-16843Wolves-Firebirds-
116 - 2023-12-18857Firebirds-Wolves-
120 - 2023-12-22882Islanders-Wolves-
122 - 2023-12-24898Wolves-Reign-
124 - 2023-12-26913Firebirds-Wolves-
127 - 2023-12-29938Wolves-Comets-
129 - 2023-12-31949Moose-Wolves-
130 - 2024-01-01961Wolves-Roadrunners-
133 - 2024-01-04977Wolves-Bears-
134 - 2024-01-05988Checkers-Wolves-
137 - 2024-01-081010Condors-Wolves-
139 - 2024-01-101020Wolves-Bears-
141 - 2024-01-121039BruinsF-Wolves-
143 - 2024-01-141051Wolves-Wolf Pack-
144 - 2024-01-151064Wolves-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-191083Americans-Wolves-
151 - 2024-01-221104Wolves-Rocket-
152 - 2024-01-231114Wolf Pack-Wolves-
155 - 2024-01-261132Rocket-Wolves-
156 - 2024-01-271143Wolves-PenguinsF-
158 - 2024-01-291151Wolves-Islanders-
160 - 2024-01-311168Wolves-Rocket-
162 - 2024-02-021181Bears-Wolves-
165 - 2024-02-051207Bears-Wolves-
169 - 2024-02-091231BruinsF-Wolves-
170 - 2024-02-101240Wolves-Wolf Pack-
175 - 2024-02-151268Comets-Wolves-
178 - 2024-02-181290Comets-Wolves-
180 - 2024-02-201299Wolves-PenguinsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance34,11821,040
Assistance PCT77.54%95.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 2507 - 83.57% 99,505$2,189,107$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,510,787$ 2,570,000$ 2,550,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,458,597$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,890,592$ 87 14,670$ 1,276,290$




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

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

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

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