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IceHogs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Pradeep Kumar | Morale : 50 | Moyenne d’équipe : 59

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPradeep Kumar
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro28
Équipe Mineure23
Limite contact 51 / 100
Espoirs147


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
1Max JonesXX100.0092788779825177632560666825666669506502811,392,000$
2Adam Sykora (R)XX100.0083968676715890624459787025454574506502221,279,000$
3Marc GatcombX100.009947938475568163315857662555556550640271973,000$
4Jaret Anderson-DolanX100.0072707765708187607556576654596062506202700$
5Anton WahlbergX100.0082789065785555597460536750444460505902121,286,000$
6Gavin HayesX100.0074669161667074575051596256444462505802221,279,000$
7Ondrej BecherX100.0076748062745353577156546351444458505702221,278,000$
8Ryan McGregorX100.007468875968454452655346614444445450530271991,000$
9Mark SendenXXX100.0077728759724950496147466244444454505302800$
10Jackson Kunz (R)X100.0084779962774039486047446542444453505302321,385,000$
11Kyle CapobiancoX100.0063429171735958652548487325575859506202911,305,000$
12Guillaume Richard (R)X100.0076709058707785472537426140444453505802321,297,000$
13Hunter Skinner (R)X100.007374715874707649253745604344445350570251999,000$
14Adam Ginning (R)X100.0076748258746064472537416139454552505602600$
15Gavin WhiteX100.0077728959724748482534466244444452505502321,271,000$
Rayé
1Anton Frondell (R)XX100.006943897172765893708376682545457650700193975,000$
2Denver Barkey (R)XX100.007542887962658675377362662547476950660213881,667$
3Adam ErneXX100.0097598774765663623154646959697066506403100$
4Brayden Yager (R)X100.007466946166818857715654625144446150600213918,333$
5Brody Lamb (R)X100.007769946469545360505659655644446250580231750,000$
6Evan Vierling (R)XXX100.007365936165565659745558625544446150570241750,000$
7Sam BittenX100.0072815157814748485043475945444451505202600$
8Lassi Thomson (R)X100.006542997371628367256147742546466350640261775,000$
9Luke ProkopX100.0084848562845861482539416539444454505902421,352,000$
10Travis Mitchell (R)X100.0072775958777683502545396037444452505802600$
11Kaden Hammell (R)X100.007269805869586150253748604644445450550213865,833$
12Tyler InamotoX100.0078768159763634472540396237444449505302721,320,000$
MOYENNE D’ÉQUIPE100.00776885657359655744515264414748595059
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
Rayé
1Remi Poirier100.004740507960545454544930444452505402500$
MOYENNE D’ÉQUIPE100.0047405079605454545449304444525054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 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
Adam ErneIceHogs (CHI)LW/RW311995-04-20USANo209 Lbs6 ft1NoNoAssign ManuallyNoNo02025-12-08FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Adam GinningIceHogs (CHI)D262000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Adam SykoraIceHogs (CHI)LW/RW222004-09-07SVKYes193 Lbs5 ft11NoNoTrade2025-10-15NoNo22025-10-22FalseFalsePro & Farm1,279,000$1,279,000$0$0$No1,279,000$--------1,279,000$--------No--------Lien
Anton FrondellIceHogs (CHI)C/RW192007-05-07SWEYes198 Lbs6 ft1NoNoDraftNoNo32026-10-27FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Anton WahlbergIceHogs (CHI)C212005-07-04SWENo205 Lbs6 ft4NoNoDraftNoNo22025-10-22FalseFalsePro & Farm1,286,000$1,286,000$0$0$No1,286,000$--------1,286,000$--------No--------Lien
Brayden YagerIceHogs (CHI)C212005-01-03CANYes180 Lbs5 ft11NoNoProspectNoNo32026-10-27FalseFalsePro & Farm918,333$918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Brody LambIceHogs (CHI)RW232003-08-30USAYes185 Lbs6 ft1NoNoProspectNoNo12026-10-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Denver BarkeyIceHogs (CHI)C/LW212005-04-27CANYes171 Lbs5 ft10NoNoDraftNoNo32026-10-27FalseFalsePro & Farm881,667$881,667$0$0$No881,667$881,667$-------881,667$881,667$-------NoNo-------Lien
Evan VierlingIceHogs (CHI)C/LW/RW242002-06-20ONTYes178 Lbs6 ft0NoNoProspectNoNo12026-10-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Gavin HayesIceHogs (CHI)RW222004-05-14USANo176 Lbs6 ft1NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,279,000$1,279,000$0$0$No1,279,000$--------1,279,000$--------No--------Lien
Gavin WhiteIceHogs (CHI)D232002-11-12CANNo195 Lbs6 ft1NoNoN/ANoNo22025-10-22FalseFalsePro & Farm1,271,000$1,271,000$0$0$No1,271,000$--------1,271,000$--------No--------Lien
Guillaume RichardIceHogs (CHI)D232003-02-10CANYes187 Lbs6 ft2NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,297,000$1,297,000$0$0$No1,297,000$--------1,297,000$--------No--------Lien
Hunter SkinnerIceHogs (CHI)D252001-04-29USAYes195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm999,000$999,000$0$0$No---------------------------Lien
Jackson KunzIceHogs (CHI)C232003-08-22USAYes205 Lbs6 ft3NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,385,000$1,385,000$0$0$No1,385,000$--------1,385,000$--------No--------Lien
Jaret Anderson-DolanIceHogs (CHI)C271999-09-12CANNo194 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Kaden HammellIceHogs (CHI)D212005-03-12CANYes187 Lbs6 ft1NoNoDraftNoNo32026-10-27FalseFalsePro & Farm865,833$865,833$0$0$No865,833$865,833$-------865,833$865,833$-------NoNo-------Lien
Kyle CapobiancoIceHogs (CHI)D291997-08-13CANNo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,305,000$1,305,000$0$0$No---------------------------Lien / Lien NHL
Lassi ThomsonIceHogs (CHI)D262000-09-24FINYes195 Lbs6 ft0NoNoDraftNoNo12026-10-27FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien
Luke ProkopIceHogs (CHI)D242002-05-06CANNo224 Lbs6 ft5NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,352,000$1,352,000$0$0$No1,352,000$--------1,352,000$--------No--------Lien
Marc GatcombIceHogs (CHI)RW271999-07-22USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm973,000$973,000$0$0$No---------------------------Lien
Mark SendenIceHogs (CHI)C/LW/RW281998-01-22USANo205 Lbs5 ft10NoNoFree AgentNoNo02025-08-28FalseFalsePro & Farm0$0$No---------------------------Lien
Max JonesIceHogs (CHI)LW/RW281998-02-17USANo216 Lbs6 ft3NoNoTrade2025-01-22NoNo1FalseFalsePro & Farm1,392,000$1,392,000$0$0$No---------------------------Lien
Ondrej BecherIceHogs (CHI)C222004-02-22CZENo200 Lbs6 ft1NoNoDraftNoNo22025-10-22FalseFalsePro & Farm1,278,000$1,278,000$0$0$No1,278,000$--------1,278,000$--------No--------Lien
Remi PoirierIceHogs (CHI)G252001-10-06QUENo205 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Ryan McGregorIceHogs (CHI)C271999-01-29ONTNo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm991,000$991,000$0$0$No---------------------------Lien
Sam BittenIceHogs (CHI)LW262000-03-21ONTNo220 Lbs6 ft2NoNoFree AgentNoNo02025-08-28FalseFalsePro & Farm0$0$No---------------------------Lien
Travis MitchellIceHogs (CHI)D261999-11-25USAYes203 Lbs6 ft4NoNoFree AgentNoNo02025-08-28FalseFalsePro & Farm0$0$No---------------------------Lien
Tyler InamotoIceHogs (CHI)D271999-05-12USANo200 Lbs6 ft3NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,320,000$1,320,000$0$0$No1,320,000$--------1,320,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.54197 Lbs6 ft11.36832,958$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark SendenMarc GatcombAnton Wahlberg40122
2Jaret Anderson-DolanAdam Sykora30122
3Jaret Anderson-DolanOndrej Becher20122
4Jaret Anderson-DolanAdam Sykora10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteAdam Ginning40122
2Kyle CapobiancoGuillaume Richard30122
3Kyle CapobiancoAdam Ginning20122
4Adam Ginning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marc GatcombAnton Wahlberg60122
2Ondrej BecherJaret Anderson-DolanAdam Sykora40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ginning60122
2Kyle CapobiancoGuillaume Richard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam SykoraJaret Anderson-Dolan60122
2Ondrej Becher40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume Richard60122
2Kyle CapobiancoAdam Ginning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Sykora60122Kyle Capobianco60122
2Jaret Anderson-Dolan40122Gavin WhiteAdam Ginning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-Dolan60122
2Adam SykoraOndrej Becher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ginning60122
2Kyle CapobiancoGavin White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc GatcombJaret Anderson-DolanAnton WahlbergAdam GinningKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc GatcombJaret Anderson-DolanAnton WahlbergAdam GinningKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ondrej Becher, Jaret Anderson-Dolan, Adam SykoraAdam Sykora, Jaret Anderson-DolanAdam Sykora
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Capobianco, Adam Ginning, Adam GinningAdam Ginning, Kyle Capobianco
Tirs de pénalité
Adam Sykora, , Anton Wahlberg, Jaret Anderson-Dolan, Ondrej Becher
Gardien
#1 : , #2 :


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
43 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,332,283$ 2,332,283$ 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$ 0 0$ 0$




IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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