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Wild Wings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Keith Evans | Morale : 50 | Moyenne d’équipe : 69

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKeith Evans
EntraîneurShane Conway
DivisionNorth East Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure23
Limite contact 43 / 55
Espoirs1


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique158-125-34 (0.498%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)9 - 12 (0.429%)
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
1Terry Vasey97X100.0075387592697950945375718281655720507503011,200,000$
2Jonah Lakovic47X100.0097648765467275997876449976877136507402711,300,000$
3Nicke Hautajoki0X100.008743888671816095676853539740852350720311700,000$
4Jean-Rene Deeg21X100.003747655890606294997760733538622750710311700,000$
5Klemen Napotnik (R)0X100.006558808882885586775292299346326550710231800,000$
6Algot Liikkanen (R)91X100.0041555954827881846663945485433766507002321,500,000$
7Patrice Desrosiers86X100.006058795580778099994540746254901850690312700,000$
8Grayson Waldrep (R)92X100.005754866961567080774963666768406150650225750,000$
9Roland Deichmann44X100.0089416888758362662589517357655929507502921,200,000$
10Rodion Noskov (R)72X100.005635557081818996255273994483836750750222900,000$
11Lazlo Sergent38X100.0086626273938282842534716034955261507102411,200,000$
12Trace Micklem0X100.0081379471839555892546365795585449506902521,089,000$
13Pyotr Pakholkov60X100.007449875343725485254739948064982506403441,900,000$
Rayé
1Shayne Reinhart (R)0X100.008245547640739382886893424932276950710213800,000$
2Primo Mcdowell (R)0X100.0057417958797483687751807743534467507002300$
3Jaedon Crummy (R)0X100.008051545846846265564764823488426450630221700,000$
4Angus Nilsson95X100.002939725257495983513483554158525950560241730,000$
5Genadz Bubnow55X100.006642735746815094255161837235755550630234999,000$
6Dayton Schwindt (R)0X100.002750707428765761255867948192596250600222720,000$
MOYENNE D’ÉQUIPE100.00664873686676678456576571656159475069
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
1Ivan Peshekhonov (R)33100.008251508181739199726650783060507502441,999,999$
Rayé
MOYENNE D’ÉQUIPE100.0082515081817391997266507830605075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Shane Conway42604790989734USA511200,000$


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
Algot LiikkanenWild Wings (MIL)C232004-10-18FINYes197 Lbs6 ft1NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,500,000$150,000$150,000$No1,500,000$--------1,500,000$--------No--------
Angus NilssonWild Wings (MIL)RW242003-09-11CANNo197 Lbs6 ft2NoNoN/ANoNo12024-06-07FalseFalsePro & Farm730,000$73,000$73,000$No---------------------------
Dayton SchwindtWild Wings (MIL)D222005-12-27CANYes174 Lbs5 ft8NoNoFree AgentNoNo22025-02-28FalseFalsePro & Farm720,000$72,000$72,000$No720,000$--------720,000$--------No--------
Genadz BubnowWild Wings (MIL)D232004-08-16BLRNo220 Lbs6 ft2NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm999,000$99,900$99,900$No999,000$999,000$999,000$------999,000$999,000$999,000$------NoNoNo------
Grayson WaldrepWild Wings (MIL)LW222005-09-07USAYes239 Lbs6 ft8NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm750,000$75,000$75,000$No750,000$750,000$750,000$750,000$-----750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Ivan PeshekhonovWild Wings (MIL)G242003-01-01RUSYes175 Lbs5 ft10NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & 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------
Jaedon CrummyWild Wings (MIL)RW222005-04-11CANYes180 Lbs5 ft9NoNoFree AgentNoNo12025-05-22FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Jean-Rene DeegWild Wings (MIL)C311996-01-27CANNo186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Jonah LakovicWild Wings (MIL)LW272000-02-20CANNo247 Lbs6 ft6NoNoN/ANoNo12024-06-07FalseFalsePro & Farm1,300,000$130,000$130,000$No---------------------------
Klemen NapotnikWild Wings (MIL)C232004-02-12SLOYes175 Lbs5 ft10NoNoTrade2025-09-26NoNo12024-07-04FalseFalsePro & Farm800,000$80,000$80,000$No---------------------------
Lazlo SergentWild Wings (MIL)D242003-11-12USANo184 Lbs5 ft8NoNoN/ANoNo12024-06-07FalseFalsePro & Farm1,200,000$120,000$120,000$No---------------------------
Nicke HautajokiWild Wings (MIL)LW311996-01-20FINNo189 Lbs5 ft10NoNoTrade2025-06-25NoNo1FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Patrice DesrosiersWild Wings (MIL)C311996-11-19CANNo210 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm700,000$68,000$68,000$No700,000$--------680,000$--------No--------
Primo McdowellWild Wings (MIL)LW232004-11-14USAYes181 Lbs5 ft11NoNoFree AgentNoNo02025-03-17FalseFalsePro & Farm0$0$No---------------------------
Pyotr PakholkovWild Wings (MIL)D341993-06-13RUSNo187 Lbs6 ft1NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,900,000$190,000$190,000$No1,900,000$1,900,000$1,900,000$------1,900,000$1,900,000$1,900,000$------NoNoNo------
Rodion NoskovWild Wings (MIL)D222005-11-19RUSYes218 Lbs5 ft11NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm900,000$90,000$90,000$No900,000$--------900,000$--------No--------
Roland DeichmannWild Wings (MIL)D291998-08-21GERNo223 Lbs6 ft8NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,200,000$120,000$120,000$No1,200,000$--------1,200,000$--------No--------
Shayne ReinhartWild Wings (MIL)C212006-12-03USAYes249 Lbs6 ft6NoNoProspectNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Terry VaseyWild Wings (MIL)LW301997-09-11CANNo183 Lbs5 ft8NoNoTrade2024-06-22NoNo12024-06-03FalseFalsePro & Farm1,200,000$120,000$120,000$No---------------------------
Trace MicklemWild Wings (MIL)D252002-12-15USANo202 Lbs6 ft0NoNoTrade2025-05-21NoNo2FalseFalsePro & Farm1,089,000$108,900$108,900$No1,089,000$--------1,089,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.55201 Lbs6 ft02.00994,400$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Terry VaseyJean-Rene Deeg25500
2Jonah Lakovic25500
3Nicke HautajokiAlgot Liikkanen25500
4Jean-Rene Deeg25500
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland DeichmannRodion Noskov25500
2Lazlo Sergent25500
3Trace MicklemPyotr Pakholkov25500
4Roland Deichmann25500
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Terry VaseyJean-Rene Deeg50005
2Jonah Lakovic50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland DeichmannRodion Noskov50005
2Lazlo Sergent50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Rene DeegTerry Vasey50050
2Jonah Lakovic50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland DeichmannRodion Noskov50122
2Lazlo Sergent50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jean-Rene Deeg50122Roland DeichmannRodion Noskov50122
250122Lazlo Sergent50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Rene DeegTerry Vasey50005
2Jonah Lakovic50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland DeichmannRodion Noskov50005
2Lazlo Sergent50005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Terry VaseyJean-Rene DeegRoland DeichmannRodion Noskov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Terry VaseyJean-Rene DeegRoland DeichmannRodion Noskov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nicke Hautajoki, Jean-Rene Deeg, Nicke Hautajoki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trace Micklem, Pyotr Pakholkov, Trace MicklemTrace Micklem, Pyotr Pakholkov
Tirs de pénalité
, Terry Vasey, , Jonah Lakovic,
Gardien
#1 : Ivan Peshekhonov, #2 :
Lignes d’attaque personnalisées en prolongation
, Terry Vasey, , Jonah Lakovic, , Nicke Hautajoki, Jean-Rene Deeg, , Algot Liikkanen,
Lignes de défense personnalisées en prolongation
Roland Deichmann, Rodion Noskov, , Lazlo Sergent, Trace Micklem


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$ 1,988,800$ 1,986,800$ 200,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 19 0

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




Wild Wings 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
1Lorenzo Porritt2577296168-532201483207229.97%66447017.3914253949000015554.29%00.75520
2River Mcquinston2769672168-26854822788310.87%66403914.631282031101317545.06%10.8304
3Jonah Lakovic2955478132-10976435975459.91%205430414.599192823033212453.49%00.6103
4Odell Kell17139731127471622684279.13%88264115.45417212611244145.45%00.85311
5Terry Vasey120465197-161823718737012.43%50195516.29817252700049340.48%00.99410

Wild Wings 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
1Jim Gloeckner1426046110.9202.69703741315392322657100.64025
2Ivan Peshekhonov65321670.9222.383351411331712886420.57726
3Helgert Finke40191350.9172.71215120971175681220.77818
4Valeryy Lyasyuk2610840.9192.5913672059732353120.71414
5Jari-Henri Hakkinen178510.9182.3987941354291771000

Wild Wings 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
180174706523152229-77409230221377115-38408240431075114-39581522353876439465911168649057458950254481744316941323526.52%741678.38%1662120454.98%889162954.57%49696351.51%135361218717761609816
2803828054232111941740231202120111832840151603303100111-11972113415523457856211216765173975838238180946120071654929.70%1333375.19%4770148751.78%827161851.11%545100654.17%158884517327511523769
38038240375326422737401890245213111021402015013011331171610226442669060809779152868104492088151275091857517861614527.95%792173.42%0954180752.79%912171453.21%632116954.06%1678101018306931354659
480332605646242237540151503421120126-64018110222512211111962424046466077827411261589588578685273293956016941644326.22%991881.82%2864168051.43%825159251.82%584114251.14%159291218657221409691
Total Saison régulière320126125019221315869887-1816065590911106439434516061660101139430453-23353869140622752182533102744893363080311830142241040734832039718162217227.65%3858877.14%73250617852.61%3453655352.69%2257428052.73%621333817299294358972936
Séries éliminatoires
294500000333215320000018171413000001515083354870010158033410212410173021043419010440.00%7528.57%08818048.89%9920249.01%8114954.36%1831102158516376
31257000003638-2624000001922-363300000171611036559120139131431159113141184831574723315213.33%7271.43%013125850.78%16629955.52%11119656.63%253150301106216107
Total Séries éliminatoires21912000006970-11156000003739-2104600000323111869109178202324211765261237242257852618142325624.00%14750.00%021943850.00%26550152.89%19234555.65%437260516191379183

Wild Wings 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
1Gabryel Blacklock2113518206247018.57%633816.10000400003042.11%11.0600
2Jonah Lakovic2161218605354619.84%2037317.78101700000053.33%00.9600
3Patrice Desrosiers2158132020432619.23%932915.69011000000059.23%00.7900
4Cortney OClerkin125611652391926.32%819216.07000000000053.42%01.1401
5Odell Kell214711-10101647675.97%1537918.05000000002045.45%00.5800

Wild Wings 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
1Jim Gloeckner94120.9243.0449300253271710000
2Jari-Henri Hakkinen32100.8972.8416900878281000
3Ivan Peshekhonov62220.9073.3933600192051100000
4Valeryy Lyasyuk61310.9082.903310016173770200