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Wolves
GP: 7 | W: 4 | L: 2 | OTL: 1 | P: 9
GF: 16 | GA: 17 | PP%: 27.78% | PK%: 68.75%
DG: Gabriel Whiddon | Morale : 52 | Moyenne d’équipe : 60
Prochains matchs #126 vs Monsters

Centre de jeu
Rocket
4-1-3, 11pts
0
1 Wolves
4-2-1, 9pts
Team Stats
W1SéquenceL1
2-0-1Fiche domicile1-2-1
2-1-2Fiche domicile3-0-0
4-1-3Derniers 10 matchs4-2-1
1.13Buts par match 2.29
1.13Buts contre par match 2.43
19.05%Pourcentage en avantage numérique27.78%
60.00%Pourcentage en désavantage numérique68.75%
Gulls
4-3-0, 8pts
3
1 Wolves
4-2-1, 9pts
Team Stats
W1SéquenceL1
2-1-0Fiche domicile1-2-1
2-2-0Fiche domicile3-0-0
4-3-0Derniers 10 matchs4-2-1
2.57Buts par match 2.29
3.14Buts contre par match 2.43
24.00%Pourcentage en avantage numérique27.78%
72.73%Pourcentage en désavantage numérique68.75%
Monsters
4-1-2, 10pts
Jour 11
Wolves
4-2-1, 9pts
Statistiques d’équipe
W3SéquenceL1
2-0-2Fiche domicile1-2-1
2-1-0Fiche visiteur3-0-0
4-1-210 derniers matchs4-2-1
1.86Buts par match 2.29
2.00Buts contre par match 2.29
15.38%Pourcentage en avantage numérique27.78%
76.47%Pourcentage en désavantage numérique68.75%
Wolves
4-2-1, 9pts
Jour 12
Senators
3-3-1, 7pts
Statistiques d’équipe
L1SéquenceL3
1-2-1Fiche domicile2-2-0
3-0-0Fiche visiteur1-1-1
4-2-110 derniers matchs3-3-1
2.29Buts par match 3.86
2.43Buts contre par match 3.86
27.78%Pourcentage en avantage numérique42.11%
68.75%Pourcentage en désavantage numérique77.27%
Wolves
4-2-1, 9pts
Jour 14
Comets
2-4-1, 5pts
Statistiques d’équipe
L1SéquenceL2
1-2-1Fiche domicile2-2-0
3-0-0Fiche visiteur0-2-1
4-2-110 derniers matchs2-4-1
2.29Buts par match 1.86
2.43Buts contre par match 1.86
27.78%Pourcentage en avantage numérique11.11%
68.75%Pourcentage en désavantage numérique64.00%
Meneurs d'équipe
Buts
Mikey Eyssimont
5
Troy TerryPasses
Troy Terry
5
Troy TerryPoints
Troy Terry
6
Plus/Moins
William Wallinder
4
Victoires
Cooper Black
4
Pourcentage d’arrêts
Cooper Black
0.892

Statistiques d’équipe
Buts pour
16
2.29 GFG
Tirs pour
110
15.71 Avg
Pourcentage en avantage numérique
27.8%
5 GF
Début de zone offensive
32.6%
Buts contre
17
2.43 GAA
Tirs contre
151
21.57 Avg
Pourcentage en désavantage numérique
68.8%%
5 GA
Début de la zone défensive
42.3%
Informations de l'équipe

Directeur généralGabriel Whiddon
EntraîneurDan Lambert
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,153
Billets de saison1,500


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 100
Espoirs142


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
1Ryan DonatoXXX100.0078548574707397766780876467727379467302921,765,000$
2Sam BennettX100.0085786878727695778178846125788377437302912,050,000$
3Troy TerryXX100.0057419179707994843782796359707075507202822,361,000$
4Mathieu OlivierXX99.0099995381856799623765737525656672576902811,240,000$
5Eetu LuostarinenXXX100.0088468984737098604265607425687169506802711,148,000$
6Jack QuinnX100.0065429176706891742976726085626271526802421,811,000$
7Matt Savoie (R)X100.0070628789628185648062636260444467546502131,471,000$
8Mikey EyssimontX99.0079677783715794633461656425646564526502921,543,000$
9Samuel Honzek (R)X100.0077728871726972575053566453444461555902131,277,000$
10Samuel Savoie (R)X100.0074688865687987515050476145444456535702131,289,000$
11Carsen TwarynskiX100.0076738264735050505049456144454553545402811,044,000$
12Aatu Jamsen (R)X100.0073678763674645535045576154444458435402231,266,000$
13Urho VaakanainenX99.0063428974766970612560487925636362506602631,893,000$
14Ian Moore (R)X99.0079768680765252542551436441444457546002331,382,000$
15William WallinderX100.0083789465785253502545406538444454415802331,600,000$
16Joakim Ryan (R)X100.0075679262676874452534416038444652575703221,414,000$
17Aidan FulpX100.008179866279434348254039633744444950550251950,000$
18Montana OnyebuchiX100.007382526382525446253541593944444953550251950,000$
19Chris JandricX100.007266878066353251254939603744445256550272800,000$
Rayé
1Artem Shlaine (R)XXX100.0078699980693532496149446242444453535402331,339,000$
2Koehn Ziemmer (R)X100.0084789980783230445038446442444452435202131,265,000$
3Quinn Olson (R)XXX100.0069677280673633486047445842444451435202431,333,000$
4Jeremie BuchelerX100.008477996077353441252839633744444943530251950,000$
5Anton MalmstromX100.008178876078363445253539633744445043530251950,000$
6Will MacKinnonX100.007272736172464744253439573744444843520251950,000$
MOYENNE D’ÉQUIPE99.84776884737356645641525363425252595060
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
1Cooper Black (R)100.005840509260647271737330444464626402411,000,000$
2Ty Young (R)100.005140507454515457545430444452535302131,245,000$
Rayé
MOYENNE D’ÉQUIPE100.0055405083575863646464304444585859
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert40404040404040TUR8111,000,000$


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
1Troy TerryWolves (HAR)LW/RW7156-40061916396.25%416022.920333140000150031.33%8325000.7511000011
2Mikey EyssimontWolves (HAR)C751601151311123741.67%415622.41213213000161038.46%1316000.7711010110
3Paul CotterWhalersC/LW/RW632515568191415.79%313121.96112110000090046.94%4954000.7601010020
4Mathieu OlivierWolves (HAR)LW/RW7134-1491515712148.33%212818.3211229000040030.38%7955000.6200201001
5Jack QuinnWolves (HAR)RW7134-20099731014.29%213118.7301121000000100%010000.6111000100
6Matt SavoieWolves (HAR)C7123-16071611259.09%113218.9110127000020060.53%3864000.4501000000
7Samuel HonzekWolves (HAR)LW72022204432366.67%0578.150000300013100%404000.7001000100
8Carsen TwarynskiWolves (HAR)LW70221001181000%09413.4700000000000050.00%203000.4211000000
9Ryan DonatoWolves (HAR)C/LW/RW1011-100202310%02121.38011010000200100.00%111000.9400000000
10Eetu LuostarinenWolves (HAR)C/LW/RW7011-4201075420%214120.1600005000270033.33%303000.1400000001
11Urho VaakanainenWolves (HAR)D7011-500788320%1118626.66000014000015000%0113000.1100000000
12Sam MortonWhalersC6011200111000%0386.4200000000000063.64%1100000.5211000000
13Joakim RyanWolves (HAR)D710125567100100.00%813719.70000011000010000%001000.1400100001
14Ian MooreWolves (HAR)D7011-3115967110%915321.86011113000012000%113000.1300001000
15Sam BennettWolves (HAR)C1000000020000%099.4300000000000050.00%20000000000000
16William WallinderWolves (HAR)D70004555114010%313919.8600001100017000%00400000010000
17Aatu JamsenWolves (HAR)RW1000000010000%044.420000000000000%00000000000000
18Samuel SavoieWolves (HAR)LW7000000000000%030.500000000000000%00000000000000
19Aidan FulpWolves (HAR)D7000-155150100%410114.500000000006000%01200000010000
20Montana OnyebuchiWolves (HAR)D7000040441000%18712.520000000000000%00200000000000
21Chris JandricWolves (HAR)D7000-155000000%0446.290000000000000%00000000100000
22Artem ShlaineWolves (HAR)C/LW/RW6000100230010%0366.030000000000000%00000011000000
Statistiques d’équipe totales ou en moyenne133152338-1011050118137110275013.64%54209615.7659141313000051053039.16%2862460000.3669442344
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
1Cooper BlackWolves (HAR)74210.8922.35408411614883000.444970010
2Ty YoungWolves (HAR)10000.6673.161900130000007000
Statistiques d’équipe totales ou en moyenne84210.8872.3942741171518300977010


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 Salaire restantPlafond 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
Aatu JamsenWolves (HAR)RW222003-07-22FINYes175 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,266,000$1,152,964$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Aidan FulpWolves (HAR)D252000-02-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$865,179$0$0$No---------------------------Lien
Anton MalmstromWolves (HAR)D252000-03-18SWENo205 Lbs6 ft4NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$865,179$0$0$No---------------------------Lien
Artem ShlaineWolves (HAR)C/LW/RW232002-03-07USAYes185 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,339,000$1,219,446$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien
Carsen TwarynskiWolves (HAR)LW281997-11-24CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,044,000$950,786$0$0$No---------------------------Lien / Lien NHL
Chris JandricWolves (HAR)D271998-10-03BCNo181 Lbs5 ft11NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$728,571$0$0$No800,000$--------800,000$--------No--------Lien
Cooper BlackWolves (HAR)G242001-06-14USAYes223 Lbs6 ft8NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$910,714$0$0$No---------------------------Lien
Eetu LuostarinenWolves (HAR)C/LW/RW271998-09-02FINNo191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,148,000$1,045,500$0$0$No---------------------------Lien
Ian MooreWolves (HAR)D232002-01-04USAYes203 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,382,000$1,258,607$0$0$No1,382,000$1,382,000$-------1,382,000$1,382,000$-------NoNo-------Lien
Jack QuinnWolves (HAR)RW242001-09-19CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,811,000$1,649,304$0$0$No1,811,000$--------890,042$--------No--------Lien
Jeremie BuchelerWolves (HAR)D252000-03-31QUENo200 Lbs6 ft4NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$865,179$0$0$No---------------------------Lien
Joakim RyanWolves (HAR)D321993-06-17USAYes185 Lbs5 ft11NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,414,000$1,287,750$0$0$No1,414,000$--------1,414,000$--------No--------Lien
Koehn ZiemmerWolves (HAR)RW212004-12-08ABYes215 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,265,000$1,152,054$0$0$No1,265,000$1,265,000$-------1,265,000$1,265,000$-------NoNo-------Lien
Mathieu OlivierWolves (HAR)LW/RW281997-02-11USANo226 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,240,000$1,129,286$0$0$No---------------------------Lien / Lien NHL
Matt SavoieWolves (HAR)C212004-01-01CANYes179 Lbs5 ft9NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,471,000$1,339,661$0$0$No1,471,000$1,471,000$-------1,471,000$1,471,000$-------NoNo-------Lien
Mikey EyssimontWolves (HAR)C291996-09-09USANo191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,543,000$1,405,232$0$0$No1,543,000$--------822,755$--------No--------Lien
Montana OnyebuchiWolves (HAR)D252000-03-08MANNo220 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$865,179$0$0$No---------------------------Lien
Quinn OlsonWolves (HAR)C/LW/RW242001-05-09ABYes180 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,333,000$1,213,982$0$0$No1,333,000$1,333,000$-------1,333,000$1,333,000$-------NoNo-------Lien
Ryan DonatoWolves (HAR)C/LW/RW291996-04-09USANo190 Lbs6 ft0NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm1,765,000$1,607,411$0$0$No1,765,000$--------925,000$--------No--------Lien / Lien NHL
Sam BennettWolves (HAR)C291996-06-20CANNo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,050,000$1,866,964$0$0$No---------------------------Lien / Lien NHL
Samuel HonzekWolves (HAR)LW212004-11-12SVKYes186 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,162,982$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Samuel SavoieWolves (HAR)LW212004-03-25CANYes190 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,289,000$1,173,911$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Troy TerryWolves (HAR)LW/RW281997-09-10USANo191 Lbs6 ft0NoNoTrade2024-10-01NoNo2FalseFalsePro & Farm2,361,000$2,150,196$0$0$No2,361,000$--------750,000$--------No--------Lien / Lien NHL
Ty YoungWolves (HAR)G212004-09-11CANYes183 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,245,000$1,133,839$0$0$No1,245,000$1,245,000$-------1,245,000$1,245,000$-------NoNo-------Lien
Urho VaakanainenWolves (HAR)D261999-01-01FINNo205 Lbs6 ft2NoNoTrade2025-02-04NoNo32025-10-17FalseFalsePro & Farm1,893,000$1,723,982$0$0$No1,893,000$1,893,000$-------1,893,000$1,893,000$-------NoNo-------Lien / Lien NHL
Will MacKinnonWolves (HAR)D252000-04-13USANo201 Lbs5 ft11NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$865,179$0$0$No---------------------------Lien
William WallinderWolves (HAR)D232002-07-28SWENo205 Lbs6 ft4NoNoN/ANoNo32025-12-08FalseFalsePro & Farm1,600,000$1,457,143$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.04196 Lbs6 ft22.041,343,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoMathieu OlivierMikey Eyssimont40122
2Jack QuinnTroy TerryEetu Luostarinen30122
3Mathieu OlivierSam BennettMikey Eyssimont20122
4Carsen TwarynskiMatt SavoieMikey Eyssimont10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenIan Moore40122
2William WallinderJoakim Ryan30122
3Urho VaakanainenIan Moore20122
4William WallinderUrho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoTroy TerryMikey Eyssimont60122
2Mathieu OlivierMikey EyssimontJack Quinn40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenIan Moore60122
2Joakim RyanWilliam Wallinder40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mathieu OlivierTroy Terry60122
2Mikey EyssimontEetu Luostarinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenIan Moore60122
2William WallinderJoakim Ryan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Troy Terry60122Urho VaakanainenWilliam Wallinder60122
2Mikey Eyssimont40122Joakim RyanIan Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt SavoieMathieu Olivier60122
2Mikey EyssimontTroy Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MooreUrho Vaakanainen60122
2William WallinderJoakim Ryan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoTroy TerryMikey EyssimontUrho VaakanainenIan Moore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoTroy TerryMikey EyssimontUrho VaakanainenIan Moore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikey Eyssimont, Troy Terry, Matt SavoieMikey Eyssimont, Troy TerryMikey Eyssimont
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian Moore, William Wallinder, Urho VaakanainenIan MooreWilliam Wallinder, Urho Vaakanainen
Tirs de pénalité
Matt Savoie, Mathieu Olivier, Mikey Eyssimont, Carsen Twarynski, Troy Terry
Gardien
#1 : Cooper Black, #2 : Ty Young


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
1Barracuda1010000005-51010000005-50000000000000.00000000437716271368112133912100.00%20100.00%0409143.96%4911841.53%237032.86%126451247417794
2Comets11000000422000000000001100000042221.00046100043771627136811281630174250.00%4250.00%0409143.96%4911841.53%237032.86%126451247417794
3Gulls1010000013-21010000013-20000000000000.0001230043771727136811291412253133.33%6266.67%0409143.96%4911841.53%237032.86%126451247417794
4IceHogs1000010023-11000010023-10000000000010.5002350043772027136811104911100.00%2150.00%0409143.96%4911841.53%237032.86%126451247417794
5Monsters10000010321000000000001000001032121.00034700437715271368111547146116.67%10100.00%0409143.96%4911841.53%237032.86%126451247417794
6Rocket10001000101100010001010000000000021.00011201437742713681194216000%10100.00%0409143.96%4911841.53%237032.86%126451247417794
7Senators11000000523000000000001100000052321.0005712004377222713681139915233133.33%000%0409143.96%4911841.53%237032.86%126451247417794
Total722011101617-140201100411-732000010126690.643162339014377110271368111515411411818527.78%16568.75%0409143.96%4911841.53%237032.86%126451247417794
_Since Last GM Reset722011101617-140201100411-732000010126690.643162339014377110271368111515411411818527.78%16568.75%0409143.96%4911841.53%237032.86%126451247417794
_Vs Conference722011101617-140201100411-732000010126690.643162339014377110271368111515411411818527.78%16568.75%0409143.96%4911841.53%237032.86%126451247417794
_Vs Division1210111023-11010110023-10200001000094.5002350043772027136811104911100.00%2150.00%0409143.96%4911841.53%237032.86%126451247417794

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
79L11623391101515411411801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72211101617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4021100411
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3200010126
Derniers 10 matchs
WLOTWOTL SOWSOL
420100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18527.78%16568.75%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
271368114377
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
409143.96%4911841.53%237032.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
126451247417794


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
211Wolves4Comets2WSommaire du match
328Barracuda5Wolves0LSommaire du match
443Wolves3Monsters2WXXSommaire du match
557IceHogs3Wolves2LXSommaire du match
771Wolves5Senators2WSommaire du match
885Rocket0Wolves1WXSommaire du match
10105Gulls3Wolves1LSommaire du match
11126Monsters-Wolves-
12134Wolves-Senators-
14158Wolves-Comets-
15167Comets-Wolves-
16189Rocket-Wolves-
17205Wolves-Rocket-
18208Wolves-Barracuda-
19224Barracuda-Wolves-
20249IceHogs-Wolves-
22265Wolves-Eagles-
24282Wolves-Crunch-
25291Rocket-Wolves-
27313IceHogs-Wolves-
28327Wolves-Islanders-
29340Wolves-Stars-
30355Wolf Pack-Wolves-
31375Wolves-Monsters-
32383Reign-Wolves-
33404Marlies-Wolves-
34419Wolves-Roadrunners-
36438Wolves-Rocket-
37448Eagles-Wolves-
38471Wolves-Admirals-
39481Griffins-Wolves-
41499Wolves-IceHogs-
42512Gulls-Wolves-
43532Comets-Wolves-
44548Wolves-Comets-
45564Stars-Wolves-
46581Wolves-Bruins-
47587Wolves-Wild-
48602Roadrunners-Wolves-
49626Barracuda-Wolves-
50641Wolves-Gulls-
51646Wolves-Marlies-
52668Phantoms-Wolves-
53686Thunderbirds-Wolves-
55705Wolves-Thunderbirds-
56721Penguins-Wolves-
58736Wolves-Condors-
59752Bruins-Wolves-
60768Wolves-Canucks-
61781Checkers-Wolves-
63796Wolves-Americans-
64811Americans-Wolves-
66830Wolves-Phantoms-
67842Wolves-Moose-
68851Moose-Wolves-
69873Condors-Wolves-
71894Wolves-Wolf Pack-
72907Canucks-Wolves-
74924Wolves-Heat-
75939Admirals-Wolves-
77956Wolves-Bears-
78967Senators-Wolves-
80993Wild-Wolves-
811004Wolves-Checkers-
821023Wild-Wolves-
831034Wolves-IceHogs-
851054Silver Knights-Wolves-
861060Wolves-Silver Knights-
881085Wolves-Eagles-
891097Bears-Wolves-
901116Monsters-Wolves-
911130Wolves-Canucks-
931148Crunch-Wolves-
941158Wolves-Monsters-
951172Wolves-Gulls-
961185Wolves-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971195Heat-Wolves-
981213Wolves-Penguins-
1001223Senators-Wolves-
1011234Wolves-Senators-
1021253Islanders-Wolves-
1041273Wolves-Griffins-
1051282Silver Knights-Wolves-
1061291Wolves-Barracuda-
1101319Penguins-Wolves-
1111332Wolves-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3516
Assistance5,7812,831
Assistance PCT72.26%70.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2153 - 71.77% 92,243$368,970$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
404,558$ 3,628,600$ 3,628,600$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
32,398$ 315,268$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,597,458$ 102 41,327$ 4,215,354$




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