Connexion

Wolves
GP: 50 | W: 20 | L: 25 | OTL: 5 | P: 45
GF: 123 | GA: 155 | PP%: 20.81% | PK%: 80.61%
DG: Michael Levesque | Morale : 55 | Moyenne d’équipe : 62
Prochains matchs #798 vs Islanders
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Centre de jeu
Wolves
20-25-5, 45pts
4
FINAL
3 Marlies
28-19-2, 58pts
Team Stats
L1SéquenceL1
11-13-1Fiche domicile14-9-2
9-12-4Fiche domicile14-10-0
4-4-2Derniers 10 matchs5-4-1
2.46Buts par match 3.59
3.10Buts contre par match 3.18
20.81%Pourcentage en avantage numérique29.66%
80.61%Pourcentage en désavantage numérique78.95%
Phantoms
12-32-5, 29pts
4
FINAL
2 Wolves
20-25-5, 45pts
Team Stats
W1SéquenceL1
6-14-5Fiche domicile11-13-1
6-18-0Fiche domicile9-12-4
3-6-1Derniers 10 matchs4-4-2
2.49Buts par match 2.46
4.02Buts contre par match 3.10
15.94%Pourcentage en avantage numérique20.81%
73.33%Pourcentage en désavantage numérique80.61%
Wolves
20-25-5, 45pts
2023-12-11
Islanders
27-17-6, 60pts
Statistiques d’équipe
L1SéquenceW1
11-13-1Fiche domicile13-8-3
9-12-4Fiche visiteur14-9-3
4-4-210 derniers matchs6-4-0
2.46Buts par match 3.54
3.10Buts contre par match 3.54
20.81%Pourcentage en avantage numérique20.67%
80.61%Pourcentage en désavantage numérique76.19%
Wolves
20-25-5, 45pts
2023-12-13
Phantoms
12-32-5, 29pts
Statistiques d’équipe
L1SéquenceW1
11-13-1Fiche domicile6-14-5
9-12-4Fiche visiteur6-18-0
4-4-210 derniers matchs3-6-1
2.46Buts par match 2.49
3.10Buts contre par match 2.49
20.81%Pourcentage en avantage numérique15.94%
80.61%Pourcentage en désavantage numérique73.33%
Checkers
27-14-7, 61pts
2023-12-14
Wolves
20-25-5, 45pts
Statistiques d’équipe
W1SéquenceL1
16-6-2Fiche domicile11-13-1
11-8-5Fiche visiteur9-12-4
4-5-110 derniers matchs4-4-2
3.94Buts par match 2.46
3.17Buts contre par match 2.46
26.62%Pourcentage en avantage numérique20.81%
80.53%Pourcentage en désavantage numérique80.61%
Meneurs d'équipe
Buts
Michael Pastujov
10
Passes
Nick Seeler
18
Points
Andrew Agozzino
27
Plus/Moins
Dominik Masin
4
Victoires
Anders Lindback
12
Pourcentage d’arrêts
Anders Lindback
0.902

Statistiques d’équipe
Buts pour
123
2.46 GFG
Tirs pour
1257
25.14 Avg
Pourcentage en avantage numérique
20.8%
31 GF
Début de zone offensive
38.6%
Buts contre
155
3.10 GAA
Tirs contre
1521
30.42 Avg
Pourcentage en désavantage numérique
80.6%%
32 GA
Début de la zone défensive
42.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,511
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
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 AgozzinoX100.0080459971698482697565657363514646516503221,300,000$
2Curtis MckenzieX100.0083667568737378666463637165625547446303221,000,000$
3Gabriel Dumont (C)X98.0068508872687379617762606867746547486303311,000,000$
4William KnierimX100.007655587274687468676870696051476645630251700,000$
5Quentin ShoreX100.006044857371717169696663675959535151620293900,000$
6Brendan WarrenX99.006346897269697267686564726048456041620262750,000$
7Michael PastujovX98.006345907271697466676565676253477644620241750,000$
8Tomas VincourX100.005943896872686964646262666664554456610331800,000$
9Brent PedersenX100.007245847272707162596261655954485751610282700,000$
10Mirko HoefflinX100.006045917368677069636766676347465342610312800,000$
11Jacob LagaceX100.006548857068687762636061656067494135600331800,000$
12Jalen ChatfieldX100.0066458774707788714570687366564762626602711,500,000$
13Ryan PilonX98.5463448669777476744574667360645669276602711,700,000$
14Martin MarincinX100.0061449470757079714568647462614950426503121,300,000$
15Nick SeelerX100.0071487570737174724571627159554951486403011,500,000$
16Ville PokkaX100.006845836873676565456663685954505320620291900,000$
17Dominik MasinX100.008057657271676665456655755449455746620272800,000$
Rayé
1Michael ChaputX95.4667518669727275716667697268624950356403121,000,000$
2Steven FogartyX100.006748786775697059726163666055524822600302800,000$
3Vyacheslav OsnovinX100.0059459370716564656561616660454556195902921,000,000$
4Victor OhmanX100.005745896970656859635863636049454919580311800,000$
5Alex BelzileX100.006156637165586351525151615865614520550321700,000$
6Calle AnderssonX100.006343846876686264456461686054505720620293900,000$
MOYENNE D’ÉQUIPE99.48674883707170726660646369615650543962
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 Lindback96.007273748575778179807877656534366503521,600,000$
2Jack Campbell100.006968697772818478788273556645446403111,000,000$
Rayé
1Mike Morrison100.00786766807676817879817245515330620312800,000$
MOYENNE D’ÉQUIPE98.6773697081747882787980745561443764
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
1Michael ChaputWolves (Car)C49101727-3235587511321858.85%1080216.39156221110003831049.21%82100100.6739100201
2Andrew AgozzinoWolves (Car)C43101727-8180448611936988.40%1192321.47347239701111000052.07%99100000.5804000212
3Mattias BackmanHurricanesD4981725-16260544464165712.50%56108322.11538281060002115100%000000.4600000102
4Brendan WarrenWolves (Car)LW4291322-1640144310423798.65%874917.8643713480000141148.89%4500000.5900000112
5Nick SeelerWolves (Car)D5041822-2180433939114010.26%4194118.82134769000087000%000000.4700000020
6Gabriel DumontWolves (Car)C4341519-84028675414537.41%485819.9715687800011071051.80%94200000.4401000001
7Jalen ChatfieldWolves (Car)D3671118-1214029447624499.21%4081422.615274097011078210%000000.4411000011
8Dominik MasinWolves (Car)D3651217445559261861427.78%4061317.04011111101238000%000000.5500001110
9Martin MarincinWolves (Car)D3661117-16140213140162515.00%5275020.843581356000065010%000000.4500000130
10Michael PastujovWolves (Car)RW3610717-280232362264816.13%470119.4935813830001803152.17%6900000.4814000103
11Curtis MckenzieWolves (Car)LW4579160562089297413529.46%869015.35033423000040050.00%4400000.4602112121
12William KnierimWolves (Car)RW427916-18581091297919718.86%477618.5013413680000530044.00%10000000.4101110320
13Mirko HoefflinWolves (Car)LW4541014-172016506223596.45%263814.191239480002220248.66%37400000.4400000101
14Ryan PilonWolves (Car)D4111314-912030394912282.04%5883720.440441863000073000%000000.3300000101
15Brent PedersenWolves (Car)LW455611-74044284363011.63%652211.620115190000110142.86%21000000.4200000011
16Quentin ShoreWolves (Car)C50561134023476618477.58%469413.890336630000272052.70%37000000.3202000101
17Patrice CormierHurricanesRW368311-540241947132917.02%548613.511013440000431148.78%4100000.4500000113
18Kurtis MacDermidHurricanesD364711-79220103325519337.27%4475520.981122081000180100%000000.2900301000
19Ryan SpoonerHurricanesLW18246-720613305206.67%232317.990224240002101035.29%1700000.3700000010
20Ryan CarpenterHurricanesRW7134-220187205135.00%013319.02112720000001050.00%400000.6000000100
21Ville PokkaWolves (Car)D11123-2407693911.11%919217.5200016000013000%100000.3100000000
22Tomas VincourWolves (Car)RW50022-4401211229220%33306.6200000000020054.17%2400000.1213000000
23Jacob LagaceWolves (Car)RW24000100275380%1984.0900017000010054.55%110000000000000
24Alex BelzileWolves (Car)RW5000000000000%010.210000100000000%00000000000000
25Victor OhmanWolves (Car)LW5000-100000120%0357.07000000000000100.00%30000000000000
26Calle AnderssonWolves (Car)D5000-420532120%48717.520001200006000%00000000000000
27Steven FogartyWolves (Car)C15000-220415140%1463.1200021000000057.45%470000000000000
Statistiques d’équipe totales ou en moyenne900118212330-1604226084779912573449779.39%4171489216.55315687262123912315112015850.46%411400100.44627624181620
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)33121350.9022.96172241858630010.773222919221
2Jack CampbellWolves (Car)2581200.9012.95132342656570001.00062129220
Statistiques d’équipe totales ou en moyenne58202550.9012.963046831501520001285048441


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
Alex BelzileWolves (Car)RW321991-08-31No180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Anders LindbackWolves (Car)G351988-05-03No220 Lbs6 ft6NoNoN/ANoNo2Pro & Farm1,600,000$0$0$No1,600,000$--------No--------Lien
Andrew AgozzinoWolves (Car)C321991-01-03No187 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Brendan WarrenWolves (Car)LW261997-05-07No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Brent PedersenWolves (Car)LW281995-07-05No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Calle AnderssonWolves (Car)D291994-05-16No211 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Curtis MckenzieWolves (Car)LW321991-02-11No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Dominik MasinWolves (Car)D271996-02-01No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Gabriel DumontWolves (Car)C331990-10-06No191 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Jack CampbellWolves (Car)G311992-01-09No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Jacob LagaceWolves (Car)RW331990-01-09No191 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Jalen ChatfieldWolves (Car)D271996-05-15No188 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Martin MarincinWolves (Car)D311992-02-18No217 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Michael ChaputWolves (Car)C311992-04-09No199 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Michael PastujovWolves (Car)RW241999-08-23No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Mike MorrisonWolves (Car)G311992-11-01No202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Mirko HoefflinWolves (Car)LW311992-06-18No174 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Nick SeelerWolves (Car)D301993-06-03No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Quentin ShoreWolves (Car)C291994-05-25No183 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ryan PilonWolves (Car)D271996-10-10No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Steven FogartyWolves (Car)C301993-04-19No206 Lbs6 ft3NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Tomas VincourWolves (Car)RW331990-11-19No213 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Victor OhmanWolves (Car)LW311992-04-07No209 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Ville PokkaWolves (Car)D291994-06-03No214 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Vyacheslav OsnovinWolves (Car)C291994-03-05No202 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
William KnierimWolves (Car)RW251998-01-22No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2629.85200 Lbs6 ft11.62992,308$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan WarrenAndrew AgozzinoGabriel Dumont35113
2Brent PedersenMichael Pastujov35113
3Curtis MckenzieQuentin ShoreWilliam Knierim20122
4Mirko HoefflinJacob LagaceTomas Vincour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldMartin Marincin35131
2Ryan PilonDominik Masin35131
3Nick SeelerVille Pokka30131
4Nick SeelerRyan Pilon0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan WarrenGabriel DumontMichael Pastujov50104
2Brent PedersenAndrew Agozzino50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldRyan Pilon50014
2Nick SeelerMartin Marincin50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel DumontBrendan Warren50041
2Michael Pastujov50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerRyan Pilon50050
2Jalen ChatfieldMartin Marincin50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gabriel Dumont50050Jalen ChatfieldRyan Pilon50050
250050Nick SeelerMartin Marincin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel DumontMichael Pastujov50113
2William Knierim50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerMartin Marincin50131
2Jalen ChatfieldRyan Pilon50131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel DumontMichael PastujovJalen ChatfieldRyan Pilon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel DumontMichael PastujovJalen ChatfieldRyan Pilon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mirko Hoefflin, Michael Pastujov, Brendan Warren,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Seeler, Jalen Chatfield, Martin MarincinNick SeelerJalen Chatfield, Nick Seeler
Tirs de pénalité
Michael Pastujov, , Tomas Vincour, William Knierim, Gabriel Dumont
Gardien
#1 : Jack Campbell, #2 : Anders Lindback


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
1Admirals11000000312110000003120000000000021.0003580033443982739640643844185811300.00%40100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
2Americans31200000990110000005142020000048-420.333917260033443987739640643844982723567342.86%9188.89%0814158751.29%863175449.20%39977351.62%11818011201378666331
3Barracuda1010000013-2000000000001010000013-200.0001230033443981539640643844316819300.00%4175.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
4Bears11000000505000000000001100000050521.00051015013344398223964064384424815165120.00%50100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
5BruinsF2000000246-2000000000002000000246-220.500481200334439854396406438446217851400.00%4175.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
6Canucks11000000321110000003210000000000021.0003580033443982239640643844346819300.00%30100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
7Checkers1010000036-3000000000001010000036-300.00035810334439831396406438442954205120.00%2150.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
8Comets1010000014-3000000000001010000014-300.000123003344398323964064384431121218200.00%5260.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
9Crunch4110011014113210000109452010010057-250.625142337003344398120396406438449931225812216.67%11281.82%0814158751.29%863175449.20%39977351.62%11818011201378666331
10Eagles1010000034-11010000034-10000000000000.0003580033443983639640643844351015165360.00%50100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
11Firebirds1010000036-3000000000001010000036-300.000358003344398263964064384434102014300.00%4250.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
12Griffins1010000017-6000000000001010000017-600.00012300334439822396406438444414417200.00%20100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
13Gulls2010100067-1000000000002010100067-120.50061117003344398473964064384483201439500.00%7271.43%0814158751.29%863175449.20%39977351.62%11818011201378666331
14Icehogs1010000003-31010000003-30000000000000.0000000033443982739640643844296815200.00%40100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
15Iowa Wild2010001046-22010001046-20000000000020.5004590033443984039640643844731612339222.22%60100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
16Islanders1010000013-21010000013-20000000000000.0001230033443982239640643844316420300.00%20100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
17Marlies50301001918-92020000039-63010100169-330.300916250033443981113964064384414455569218211.11%17476.47%0814158751.29%863175449.20%39977351.62%11818011201378666331
18Monsters1010000003-31010000003-30000000000000.00000000334439823396406438443312414100.00%10100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
19Moose310000201165100000103212100001084461.00011172800334439887396406438441032818489555.56%9188.89%0814158751.29%863175449.20%39977351.62%11818011201378666331
20PenguinsF2020000027-52020000027-50000000000000.0002460033443984639640643844621610343133.33%5260.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
21Phantoms3120000078-1211000005501010000023-120.3337111800334439871396406438446614315011327.27%13284.62%1814158751.29%863175449.20%39977351.62%11818011201378666331
22Reign11000000202000000000001100000020221.000246013344398203964064384426722153133.33%10100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
23Rocket1010000005-51010000005-50000000000000.00000000334439828396406438443341015400.00%5260.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
24SenatorsF413000001017-720200000613-72110000044020.2501016260033443988639640643844116314757700.00%16662.50%0814158751.29%863175449.20%39977351.62%11818011201378666331
25Silver Knights11000000312000000000001100000031221.0003690033443982439640643844441116243133.33%8187.50%0814158751.29%863175449.20%39977351.62%11818011201378666331
26StarsF11000000404000000000001100000040421.000471101334439830396406438441944235360.00%20100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
27Thunderbirds11000000321110000003210000000000021.0003580033443982339640643844391169200.00%30100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
28Wolf Pack20000011770200000117700000000000030.750712190033443986739640643844581819287228.57%7271.43%0814158751.29%863175449.20%39977351.62%11818011201378666331
29Wranglers11000000431110000004310000000000021.000471100334439821396406438442372163133.33%10100.00%0814158751.29%863175449.20%39977351.62%11818011201378666331
Total50132502154123155-3225713000416180-1925612021136275-13450.45012321233513334439812573964064384415214174308471493120.81%1653280.61%1814158751.29%863175449.20%39977351.62%11818011201378666331
_Since Last GM Reset50132502154123155-3225713000416180-1925612021136275-13450.45012321233513334439812573964064384415214174308471493120.81%1653280.61%1814158751.29%863175449.20%39977351.62%11818011201378666331
_Vs Conference346180114486113-271639000314156-151839011134557-12270.39786148234113344398880396406438449902822995771002020.00%1142875.44%1814158751.29%863175449.20%39977351.62%11818011201378666331

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5045L11232123351257152141743084713
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5013252154123155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2571300416180
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2561221136275
Derniers 10 matchs
WLOTWOTL SOWSOL
041131
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1493120.81%1653280.61%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
396406438443344398
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
814158751.29%863175449.20%39977351.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11818011201378666331


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 - 2023-11-29718Wolves4Moose3AWXXSommaire du match
100 - 2023-12-02731Marlies4Wolves2BLSommaire du match
102 - 2023-12-04753Crunch3Wolves4BWXXSommaire du match
104 - 2023-12-06770Wolves4Marlies3AWXSommaire du match
106 - 2023-12-08784Phantoms4Wolves2BLSommaire du match
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
Assistance38,92323,851
Assistance PCT77.85%95.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2511 - 83.70% 99,764$2,494,099$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,672,598$ 2,580,000$ 2,560,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,614,369$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,596,223$ 76 14,725$ 1,119,100$




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