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Wolverines
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alexandre Bouchard | Morale : 50 | Moyenne d’équipe : 72

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlexandre Bouchard
EntraîneurVladimir Dobson
DivisionWest Coast Division
ConférenceWestern Conference
CapitaineJochen Sieger
Assistant #1
Assistant #2Ryder Schellenberg


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure19
Limite contact 36 / 55
Espoirs2


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique166-128-51 (0.481%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)14 - 16 (0.467%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jochen Sieger (C)11X100.0042678272829164888683598058569747507702651,250,000$
2Michal Stellon (R)60X100.008729669871766983678644943967536550770222800,000$
3Waldemar Janne (R)70X100.009338577376798083469851723673746150760231800,000$
4Waylon Mcindeor (R)52X100.006557727084937887497063596232606750730231850,000$
5Ryder Schellenberg (R) (A)3X100.0037507496826776794485774054659363507202341,465,000$
6Wilhelm Billberg (R)40X100.003434719048797173626457566335536650650222800,000$
7Rabbe Okker0X100.006866709676656796257562536439812550740311700,000$
8Casey Fawcett (R)47X100.0066349592916570592572627580564059507402241,999,999$
9Daryl Goyer (R)73X100.003552906758839582253958952893535850690233775,000$
Rayé
1Erwin Haberer (R)0X100.006466877776746876727166847764748150740183900,000$
2Riley Antisin (R)85X100.002842826758616683609288327632705250680241700,000$
3Valentin Akerblom (R)72X100.007947598343715665985850899568567250660221955,000$
4Acke Kronholm (R)0X100.003342756696939093257338887752536650760213800,000$
5Lubos Gebauer (R)0X100.0050616585778775777675776385836461507501831,000,000$
6Manny Hillard0X100.0044489387635974862584366261483449506702500$
7Trevor Marcoux (R)56X100.003744908232826082253465888654736550620212800,000$
MOYENNE D’ÉQUIPE100.00544977817077728151726071655764605072
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Patrick Carlyle35100.007056639196678067937055284659507502321,995,000$
Rayé
MOYENNE D’ÉQUIPE100.0070566391966780679370552846595075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Vladimir Dobson76569527352919CAN451700,000$


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
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


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
Acke KronholmWolverines (TRI)D212006-02-01SWEYes219 Lbs6 ft3NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Casey FawcettWolverines (TRI)D222005-08-10CANYes232 Lbs6 ft7NoNoFree AgentNoNo42025-02-22FalseFalsePro & Farm1,999,999$200,000$200,000$No1,999,999$1,999,999$1,999,999$------1,999,999$1,999,999$1,999,999$------NoNoNo------
Daryl GoyerWolverines (TRI)D232004-09-09CANYes187 Lbs6 ft0NoNoFree AgentNoNo32024-07-11FalseFalsePro & Farm775,000$77,500$77,500$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Erwin HabererWolverines (TRI)LW182009-06-04GERYes180 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$90,000$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jochen SiegerWolverines (TRI)C262001-06-16GERNo246 Lbs6 ft6NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm1,250,000$125,000$125,000$No1,250,000$1,250,000$1,250,000$1,250,000$-----1,250,000$1,250,000$1,250,000$1,250,000$-----NoNoNoNo-----
Lubos GebauerWolverines (TRI)D182009-08-01CZEYes207 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Manny HillardWolverines (TRI)D252002-06-14USANo185 Lbs5 ft7NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Michal StellonWolverines (TRI)C222005-07-13CANYes245 Lbs6 ft4NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Patrick CarlyleWolverines (TRI)G232004-12-10CANNo241 Lbs6 ft5NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm1,995,000$199,500$199,500$No1,995,000$--------1,995,000$--------No--------
Rabbe OkkerWolverines (TRI)D311996-06-09FINNo167 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Riley AntisinWolverines (TRI)C242003-08-20CANYes202 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Ryder SchellenbergWolverines (TRI)LW232004-01-14CANYes189 Lbs6 ft3NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,465,000$146,500$146,500$No1,465,000$1,465,000$1,465,000$------1,465,000$1,465,000$1,465,000$------NoNoNo------
Trevor MarcouxWolverines (TRI)D212006-12-06CANYes189 Lbs5 ft11NoNoFree AgentNoNo22025-02-21FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Valentin AkerblomWolverines (TRI)C222005-08-23SWEYes187 Lbs6 ft2NoNoFree AgentNoNo12025-02-22FalseFalsePro & Farm955,000$95,500$95,500$No---------------------------
Waldemar JanneWolverines (TRI)RW232004-07-01FINYes235 Lbs6 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Waylon McindeorWolverines (TRI)RW232004-12-11USAYes175 Lbs5 ft9NoNoFree AgentNoNo12024-07-11FalseFalsePro & Farm850,000$85,000$85,000$No---------------------------
Wilhelm BillbergWolverines (TRI)RW222005-10-11SWEYes181 Lbs6 ft3NoNoFree AgentNoNo22025-02-18FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1722.76204 Lbs6 ft22.24975,882$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michal Stellon35122
2Ryder SchellenbergJochen SiegerWaldemar Janne35122
3Waylon Mcindeor20122
4Wilhelm Billberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rabbe Okker35122
2Casey FawcettDaryl Goyer35122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michal Stellon50122
2Ryder SchellenbergJochen SiegerWaldemar Janne50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rabbe Okker50122
2Casey FawcettDaryl Goyer50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michal Stellon50122
2Jochen SiegerWaldemar Janne50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rabbe Okker50122
2Casey FawcettDaryl Goyer50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Rabbe Okker50122
2Michal Stellon50122Casey FawcettDaryl Goyer50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michal Stellon50122
2Jochen SiegerWaldemar Janne50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rabbe Okker50122
2Casey FawcettDaryl Goyer50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michal StellonRabbe Okker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michal StellonRabbe Okker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Waylon Mcindeor, , Waylon Mcindeor,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Michal Stellon, Jochen Sieger, Waldemar Janne, Waylon Mcindeor
Gardien
#1 : , #2 : Patrick Carlyle
Lignes d’attaque personnalisées en prolongation
, Michal Stellon, Jochen Sieger, Waldemar Janne, Waylon Mcindeor, , , , Ryder Schellenberg,
Lignes de défense personnalisées en prolongation
, Rabbe Okker, Casey Fawcett, Daryl Goyer,


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,659,000$ 1,659,000$ 700,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 16 0

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




Wolverines 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
1Ryder Schellenberg2678388171520023727469411.96%69459817.22171734450001111036.48%30.7400
2Jochen Sieger20553871403624223440043912.07%99378918.4910233336235177147.95%00.7426
3Waldemar Janne159336497511946621730410.86%69293018.4311516910136329.89%00.6608
4Jonathan Sharpley18997887-21382573663502.57%230425022.4941317230224220%00.4100
5Rabbe Okker184156681-52612732252855.26%145343218.6571825270002510%00.4700

Wolverines 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
1Pascal Lord125674390.9222.28721783274351914321040.68025
2Daulton Gammond92483370.9212.3753664121226941164810.72540
3Patrick Carlyle39181150.9232.36218620861114573200.70020
4Antonio Jean2515900.9182.3914562258711344110.6673
5Alexander Sipula1741110.8823.6391000554652291000

Wolverines 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
18035310741220318716402213041001229428401318033128193-129220333754034477870112219644819720492336735108220571625232.10%1775171.19%3740151948.72%834174647.77%499104047.98%171496116337241486744
2802729013245205194114014130612411110294013160712194922952053315360142588820194251559976885238982271119641514831.79%1834973.22%4647131949.05%921183550.19%517102050.69%154177217377691587806
3803129011252211202940141607120102993401713041321091036982113415523142837022232272682972076246181777218621543422.08%1874675.40%2842159752.72%947194248.76%580112151.74%168495417167251464736
480233905346200233-3340141802132111121-10409210321489112-23732003275271133837511222966177577548244185679919481372921.17%1593776.73%3677152544.39%798175245.55%507107547.16%1729101617107161421701
Total Saison régulière32011612803611141581981631606460019476446416301605268017779373400-273588191336215577164302303648712254630222983258962732303364783160416326.99%70618374.08%122906596048.76%3500727548.11%2103425649.41%667037046798293559602988
Séries éliminatoires
11367000002735-8624000001015-5743000001720-3122742690069111387128144111445913017228030723.33%311067.74%011525245.63%15033644.64%8218544.32%282165282115226116
211650000037334514000001520-5651000002213912375996001414813211031071011033811687241291137.93%311164.52%010820054.00%13727649.64%7715649.36%228127239102205103
3624000001117-631200000610-43120000057-24111627103521124324243719971411324250.00%13561.54%16011253.57%7813956.12%457857.69%112541405512062
Total Séries éliminatoires301416000007585-1014410000003145-14161060000044404287511719210232821383226329325521996317300653632031.75%752665.33%128356450.18%36575148.60%20441948.69%623348662274551282

Wolverines 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
1Arnt Pfeffer11212144102916267.69%1528926.3416740000000%00.9700
2Forester OCorley3041014294339419.76%1052817.61246400001057.45%00.5300
3Von Holtston3068140172150678.96%1552817.61044400001143.59%00.5300
4Rabbe Okker1957124213729588.62%1848725.6431460000110%00.4900
5Gordon Peltokangas116392822153616.67%424222.02213300000041.67%00.7400

Wolverines 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
1Pascal Lord156810.9172.8092300435202301000
2Antonio Jean74110.9142.663380015174821000
3Daulton Gammond104320.9142.7257340263011190100