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Wolves
GP: 4 | W: 0 | L: 4
GF: 3 | GA: 19 | PP%: 0.00% | PK%: 76.92%
DG: Michael Levesque | Morale : 22 | Moyenne d’équipe : 64
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Centre de jeu
Checkers
6-4-0, 12pts
3
FINAL
0 Wolves
0-4-0, 0pts
Team Stats
L3SéquenceL4
3-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-4-0Derniers 10 matchs0-4-0
3.10Buts par match 0.75
1.90Buts contre par match 4.75
18.52%Pourcentage en avantage numérique0.00%
90.91%Pourcentage en désavantage numérique76.92%
Checkers
6-4-0, 12pts
7
FINAL
2 Wolves
0-4-0, 0pts
Team Stats
L3SéquenceL4
3-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-4-0Derniers 10 matchs0-4-0
3.10Buts par match 0.75
1.90Buts contre par match 4.75
18.52%Pourcentage en avantage numérique0.00%
90.91%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Buts
Michael Chaput
2
Passes
Mattias Janmark
1
Points
Michael Chaput
2
Plus/Moins
Brent Pedersen
0
Victoires
Anders Lindback
0
Pourcentage d’arrêts
Ville Husso
0.927

Statistiques d’équipe
Buts pour
3
0.75 GFG
Tirs pour
81
20.25 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
36.8%
Buts contre
19
4.75 GAA
Tirs contre
135
33.75 Avg
Pourcentage en désavantage numérique
76.9%%
3 GA
Début de la zone défensive
43.3%
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
Assistance2,873
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs11


Historique d'équipe

Saison actuelle0-4
Historique32-40-8 (0.400%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
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
1Mattias JanmarkXX100.0065558774737784726570697267766450406703211,800,000$
2Connor Zary (R)X100.006545887367808574707574727250457053660233900,000$
3Michael ChaputX100.0068528669727477716867707270675247506503211,000,000$
4Andrew AgozzinoX100.0078459771698684697366657263564942416503411,300,000$
5Nicolas DeslauriersXX100.0080906675737085706067657063795542676503421,300,000$
6Johan LarssonXX100.0062459570717470707167687166785850746503231,500,000$
7Tobias RiederXX100.0060449970707680696267667164736050446503221,300,000$
8Alexander NylanderXX100.006245927270737467656970636456516071640271750,000$
9Curtis MckenzieXX100.0084677368737580656562637165665643726303411,000,000$
10William KnierimXX100.007856577375707667656770676256506445630272900,000$
11Michael PastujovXX100.0062459173727176666864656763584974436302531,000,000$
12Quentin ShoreX100.005944877371707368706462675963534866620302900,000$
13Madison BoweyX100.0073537675717380714574707460705257656702922,000,000$
14Ryan PilonX100.0062448870787578754574667360675766706702811,800,000$
15Troy StetcherX100.0063509272697585704568667364735653686603021,700,000$
16Martin MarincinX100.0060449370757181714569657362665147576503311,300,000$
17Mattias BackmanX100.0061428573717179724572716860715845556503211,500,000$
18Dominik MasinX100.008058647271666866456657755452465424620291800,000$
Rayé
1Chris WagnerX100.0075459471717470707868687066685142296503321,300,000$
2Patrice CormierXX100.006345916973717767686366676558474328620341950,000$
3Mirko HoefflinXX100.005945917368667268646766656251475020620321800,000$
4Brendan WarrenXX100.006245907269717466666464706053476029620271750,000$
5Brent PedersenXX100.007245857272697361586160665958485421610291700,000$
6Steven FogartyX100.006847766775676858745961686056524522600311800,000$
7Vyacheslav OsnovinX100.0059459270716463646460606560464553225903111,000,000$
8Kurtis MacDermidX100.0084765970786881694568647567635650456503121,500,000$
9Calle AnderssonX100.006243866876686162456259686055505421610302900,000$
MOYENNE D’ÉQUIPE100.00685084717272766861676670636252524664
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 Lindback100.007175768574778179807879696830156503611,600,000$
2Ville Husso100.008389807980737974747175617751776403031,200,000$
Rayé
1Mike Morrison100.00786564807674797677797046525023610321800,000$
MOYENNE D’ÉQUIPE100.0077767381777580767776755966443863
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
1Michael ChaputWolves (Car)C3202-1556051140.00%15618.8300016000060040.82%4900000.7100100000
2Martin MarincinWolves (Car)D4011020263030%28220.500000900007000%000000.2400000000
3Andrew AgozzinoWolves (Car)C4011-140347340%07017.5300008000000066.67%1200000.2900000000
4Mattias JanmarkWolves (Car)LW/RW3011020535060%15919.6700017000060053.13%6400000.3400000000
5Connor ZaryWolves (Car)C4101-1202170814.29%17819.5000029000090048.57%3500000.2600000000
6Mattias BackmanWolves (Car)D4011-500142120%56616.720000000006000%000000.3000000000
7Johan LarssonWolves (Car)LW/RW4011-2001410330%26917.4100029000000081.82%1100000.2900000000
8Tobias RiederWolves (Car)LW/RW3011-100013010%05117.2100000000070050.00%400000.3900000000
9Madison BoweyWolves (Car)D4000-840821320%69323.350000900009000%00000000000000
10Brent PedersenWolves (Car)LW/RW1000000000000%022.520000000000000%00000000000000
11Dominik MasinWolves (Car)D4000-520432000%16215.750000000002000%00000000000000
12Quentin ShoreWolves (Car)C4000-700126020%05113.0000001000000054.39%570000000000000
13Nicolas DeslauriersWolves (Car)LW/RW3000-200214220%03712.6100028000000045.45%440000000000000
14Patrice CormierWolves (Car)LW/RW1000-300120000%01717.8000000000000066.67%150000000000000
15Curtis MckenzieWolves (Car)LW/RW4000-520452150%05614.1500002000030060.00%100000000000000
16Alexander NylanderWolves (Car)LW/RW4000-600025170%14611.7000000000110042.86%70000000000000
17Chris WagnerWolves (Car)C1000-100020000%022.3200000000000033.33%60000000000000
18Brendan WarrenWolves (Car)LW/RW1000-200012100%01919.9500001000010033.33%60000000000000
19Ryan PilonWolves (Car)D4000-860457300%29223.230001900007000%00000000000000
20Troy StetcherWolves (Car)D4000040333410%108120.290003900006000%00000000000000
21William KnierimWolves (Car)LW/RW4000-700417140%07418.5600000000020016.67%60000000000000
Statistiques d’équipe totales ou en moyenne68369-6533551528124513.70%32117417.2700012960001820050.61%32600000.1500100000
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)20000.9273.2474004550000004000
2Anders LindbackWolves (Car)40400.8135.461650015800000040000
Statistiques d’équipe totales ou en moyenne60400.8594.752400019135000044000


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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/RW271998-03-02CANNo192 Lbs6 ft1NoNoTrade2024-04-29NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Anders LindbackWolves (Car)G361988-05-03SWENo220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,600,000$0$0$No---------------------------Lien
Andrew AgozzinoWolves (Car)C341991-01-03CANNo187 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Brendan WarrenWolves (Car)LW/RW271997-05-07USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Brent PedersenWolves (Car)LW/RW291995-07-05CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Calle AnderssonWolves (Car)D301994-05-16SWENo211 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Chris WagnerWolves (Car)C331991-05-27USANo192 Lbs6 ft0NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Connor ZaryWolves (Car)C232001-09-25CANYes178 Lbs6 ft0NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Curtis MckenzieWolves (Car)LW/RW341991-02-11CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Dominik MasinWolves (Car)D291996-02-01CZENo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Johan LarssonWolves (Car)LW/RW321992-07-25SWENo203 Lbs5 ft11NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Kurtis MacDermidWolves (Car)D311994-03-25CANNo233 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Madison BoweyWolves (Car)D291995-04-22CANNo198 Lbs6 ft2NoNoFree Agent2024-01-08NoNo22024-05-09FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Martin MarincinWolves (Car)D331992-02-18SVKNo217 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Mattias BackmanWolves (Car)D321992-10-03SWENo180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Mattias JanmarkWolves (Car)LW/RW321992-12-08SWENo205 Lbs6 ft2NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Michael ChaputWolves (Car)C321992-04-09CANNo199 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Michael PastujovWolves (Car)LW/RW251999-08-23USANo190 Lbs6 ft0NoNoN/ANoNo32024-05-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Mike MorrisonWolves (Car)G321992-11-01CANNo202 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mirko HoefflinWolves (Car)LW/RW321992-06-18DEUNo174 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nicolas DeslauriersWolves (Car)LW/RW341991-02-22CANNo218 Lbs6 ft1NoNoFree AgentNoNo22024-07-24FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Patrice CormierWolves (Car)LW/RW341990-06-14CANNo213 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Quentin ShoreWolves (Car)C301994-05-25USANo183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ryan PilonWolves (Car)D281996-10-10CANNo208 Lbs6 ft3NoNoN/ANoNo12024-05-09FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Steven FogartyWolves (Car)C311993-04-19USANo206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Tobias RiederWolves (Car)LW/RW321993-01-10DEUNo190 Lbs5 ft10NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Troy StetcherWolves (Car)D301994-04-07CANNo184 Lbs5 ft10NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Ville HussoWolves (Car)G301995-02-06FINNo205 Lbs6 ft2NoNoTrade2024-07-27NoNo32024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Vyacheslav OsnovinWolves (Car)C311994-03-05RUSNo202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
William KnierimWolves (Car)LW/RW271998-01-22USANo205 Lbs6 ft3NoNoN/ANoNo22024-05-09FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3030.63200 Lbs6 ft11.571,168,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor ZaryMattias JanmarkAndrew Agozzino25122
2Tobias RiederMichael ChaputJohan Larsson25122
3Curtis MckenzieNicolas DeslauriersWilliam Knierim25122
4Alexander NylanderQuentin ShoreWilliam Knierim25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon25122
2Troy StetcherMartin Marincin25122
3Mattias BackmanDominik Masin25122
4Madison BoweyRyan Pilon25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor ZaryMattias JanmarkMichael Chaput50122
2Nicolas DeslauriersJohan LarssonAndrew Agozzino50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMartin Marincin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mattias JanmarkMichael Chaput50122
2Connor ZaryTobias Rieder50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMartin Marincin50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1William Knierim50122Madison BoweyRyan Pilon50122
2Alexander Nylander50122Troy StetcherMartin Marincin50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor ZaryCurtis Mckenzie50122
2Mattias JanmarkMichael Chaput50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyRyan Pilon50122
2Troy StetcherMartin Marincin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor ZaryMattias JanmarkMichael ChaputMadison BoweyRyan Pilon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor ZaryMattias JanmarkMichael ChaputMadison BoweyRyan Pilon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Knierim, Quentin Shore, Curtis MckenzieMattias Janmark, Connor ZaryCurtis Mckenzie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Marincin, Mattias Backman, Madison BoweyMartin MarincinMartin Marincin, Mattias Backman
Tirs de pénalité
William Knierim, Quentin Shore, Mattias Janmark, Connor Zary, Johan Larsson
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
1Checkers40400000319-1620200000210-82020000019-800.0003690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126
Total40400000319-1620200000210-82020000019-800.0003690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126
_Since Last GM Reset40400000319-1620200000210-82020000019-800.0003690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126
_Vs Conference40400000319-1620200000210-82020000019-800.0003690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L43698113532335100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000210
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000019
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1000.00%13376.92%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
26253002010
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
6412053.33%6714147.52%346552.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
895998295126


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-03-091Wolves0Checkers6LSommaire du match
2 - 2025-03-109Wolves1Checkers3LSommaire du match
3 - 2025-03-1117Checkers3Wolves0LSommaire du match
4 - 2025-03-1225Checkers7Wolves2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance3,7462,000
Assistance PCT93.65%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2873 - 95.77% 120,027$240,054$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,505,000$ 3,505,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$




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 Agozzino74193049-1520681432039.36%14156021.0946104001121151.35%00.6306
2Jalen Chatfield66163147-1538767915610.26%89149322.6311718830111310%00.6311
3Michael Chaput8122254724210013620210.89%14143417.7149133600074049.73%00.66412
4Mattias Backman76133144-2238716011211.61%85166121.866814520002100%00.5300
5Martin Marincin6393443-132848577112.68%78133421.184913240000110%00.6400

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 Lindback52192160.8943.1426914214113250020.75929
2Jack Campbell41131940.8923.1722178311710850000.80010
3Mike 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
Total Saison régulière82244002466218270-5241122000153110137-2741122002313108133-25742183785962571776211218469871774858243868168113862405020.83%2795879.21%21378270950.87%1382283148.82%668130251.31%1955133019366171096545
Séries éliminatoires
1640400000319-1620200000210-82020000019-803690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126
Total Séries éliminatoires40400000319-1620200000210-82020000019-803690020108126253001353233511000.00%13376.92%06412053.33%6714147.52%346552.31%895998295126

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
1Michael Chaput3202-1560540.00%15618.83000100000040.82%00.7100
2Mattias Janmark3011025350%15919.67000100000053.13%00.3400
3Tobias Rieder3011-100130%05117.21000000000050.00%00.3900
4Martin Marincin4011022630%28220.5000000000000%00.2400
5Mattias Backman4011-501420%56616.7200000000000%00.3000

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
1Ville Husso20000.9273.24740045500000
2Anders Lindback40400.8135.4616500158000000