Connexion

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
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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 Pro26
Équipe Mineure25
Limite contact 51 / 100
Espoirs136


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
1Parker KellyXXX100.0085558883706397627462598225656569506802632,242,000$
2Liam FoudyXXX100.0075698972698187627857606757565766506402521,445,000$
3Adam Edstrom (R)XX100.008359849392546862255859692551516650640251846,667$
4Marc Gatcomb (R)X100.009961907974559158375372602547477050620262973,000$
5Jaret Anderson-DolanXX100.0075728377727175567052536650596061506102611,172,000$
6Jesse YlonenX100.0077728866726364605059566553444462505902621,864,000$
7Lucas EdmondsX100.007164876364474651504751594844445450530241950,000$
8Marc Del Gaizo (R)X100.0080568673687093602551487925494963506602621,137,000$
9Kyle CapobiancoX100.0073746967747681572556416439535457506202821,305,000$
10Adam Ginning (R)X100.007574766774778548254040613845455450600251925,000$
11Sebastian Aho2X100.0072649064645050532553396037444553505502911,995,000$
12Lucas JohansenX100.0072697863695658492544395937444552505502721,001,000$
Rayé
1Jackson Kunz (R)X100.0088839980833630607572447042444460506002331,385,000$
2Adam SykoraX100.0073639666638289565056516248444460505902131,279,000$
3Anton Wahlberg (R)X100.0082759866755453597456576754444462505902031,286,000$
4Ondrej Becher (R)X100.0078719565715252556948576454444460505602131,278,000$
5Gavin Hayes (R)X100.0074669464666265505050466144444455505502131,279,000$
6Jakub Stancl (R)X100.0079749160745558486046446342444453505302031,252,000$
7Artyom Levshunov (R)X100.0076448669768085672565476625454563506501931,474,000$
8Hank Kempf (R)X100.0082759980753531532552396537444455505802300$
9Guillaume Richard (R)X100.0073708180705049562547516248444458505802231,297,000$
10Luke Prokop (R)X100.0087849361845254452535406638444453505702331,352,000$
11Gavin WhiteX100.0076689363686064472539406138444453505602231,271,000$
12Tyler Inamoto (R)X100.0076728561723634492543396137444451505302631,320,000$
MOYENNE D’ÉQUIPE100.00786888707259655543524965404747595059
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
1Eetu Makiniemi100.00444151734589454990814544446050590263949,000$
2Magnus Chrona100.00504050885350535653533044445150540251867,500$
Rayé
MOYENNE D’ÉQUIPE100.0047415181497049537267384444565057
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 EdstromIceHogs (CHI)C/RW252000-10-12SWEYes241 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm846,667$846,667$0$0$No---------------------------Lien
Adam GinningIceHogs (CHI)D252000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien
Adam SykoraIceHogs (CHI)LW212004-09-07SVKNo179 Lbs5 ft10NoNoTrade2025-10-15NoNo32025-10-22FalseFalsePro & Farm1,279,000$1,279,000$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Anton WahlbergIceHogs (CHI)C202005-07-04SWEYes198 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$1,286,000$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Artyom LevshunovIceHogs (CHI)D192005-10-28BLRYes208 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,474,000$1,474,000$0$0$No1,474,000$1,474,000$-------1,474,000$1,474,000$-------NoNo-------Lien
Eetu MakiniemiIceHogs (CHI)G261999-04-19FINNo185 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm949,000$949,000$0$0$No949,000$949,000$-------949,000$949,000$-------NoNo-------Lien
Gavin HayesIceHogs (CHI)LW212004-05-14USAYes176 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$1,279,000$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Gavin WhiteIceHogs (CHI)D222002-11-12CANNo185 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$1,271,000$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Guillaume RichardIceHogs (CHI)D222003-02-10CANYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,297,000$1,297,000$0$0$No1,297,000$1,297,000$-------1,297,000$1,297,000$-------NoNo-------Lien
Hank KempfIceHogs (CHI)D232002-04-15USAYes200 Lbs6 ft2NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Jackson KunzIceHogs (CHI)C232002-08-13USAYes227 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,385,000$1,385,000$0$0$No1,385,000$1,385,000$-------1,385,000$1,385,000$-------NoNo-------Lien
Jakub StanclIceHogs (CHI)C202005-04-10CZEYes198 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,252,000$1,252,000$0$0$No1,252,000$1,252,000$-------1,252,000$1,252,000$-------NoNo-------Lien
Jaret Anderson-DolanIceHogs (CHI)C/RW261999-09-12CANNo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$1,172,000$0$0$No---------------------------Lien
Jesse YlonenIceHogs (CHI)RW261999-10-03USANo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,864,000$1,864,000$0$0$No1,864,000$--------1,864,000$--------No--------Lien
Kyle CapobiancoIceHogs (CHI)D281997-08-13CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,305,000$1,305,000$0$0$No1,305,000$--------1,305,000$--------No--------Lien / Lien NHL
Liam FoudyIceHogs (CHI)C/LW/RW252000-02-04CANNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,445,000$1,445,000$0$0$No1,445,000$--------1,445,000$--------No--------Lien
Lucas EdmondsIceHogs (CHI)RW242001-01-27ONTNo178 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien
Lucas JohansenIceHogs (CHI)D271997-11-16CANNo181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,001,000$1,001,000$0$0$No1,001,000$--------1,001,000$--------No--------Lien
Luke ProkopIceHogs (CHI)D232002-05-06CANYes223 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$1,352,000$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Lien
Magnus ChronaIceHogs (CHI)G252000-08-08SWENo210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm867,500$867,500$0$0$No---------------------------Lien
Marc Del GaizoIceHogs (CHI)D261999-10-11USAYes188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,137,000$1,137,000$0$0$No1,137,000$--------1,137,000$--------No--------Lien
Marc GatcombIceHogs (CHI)C261999-07-22USAYes195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm973,000$973,000$0$0$No973,000$--------973,000$--------No--------Lien
Ondrej BecherIceHogs (CHI)C212004-02-22CZEYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$1,278,000$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Parker KellyIceHogs (CHI)C/LW/RW261999-05-14CANNo185 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm2,242,000$2,242,000$0$0$No2,242,000$2,242,000$-------2,242,000$2,242,000$-------NoNo-------Lien
Sebastian Aho2IceHogs (CHI)D291996-02-17SWENo177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,995,000$1,995,000$0$0$No---------------------------Lien / Lien NHL
Tyler InamotoIceHogs (CHI)D261999-05-06USAYes194 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,320,000$1,320,000$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.04195 Lbs6 ft22.191,236,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyAdam EdstromSebastian Aho240122
2Jesse Ylonen30122
320122
4Sebastian Aho210122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del Gaizo40122
2Kyle Capobianco30122
3Marc Del Gaizo20122
4Marc Del Gaizo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudySebastian Aho260122
2Jesse Ylonen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kyle CapobiancoMarc Del Gaizo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Liam Foudy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del Gaizo60122
2Kyle Capobianco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Marc Del Gaizo60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Sebastian Aho240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del Gaizo60122
2Kyle Capobianco40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyJesse YlonenMarc Del GaizoKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyJesse YlonenMarc Del GaizoKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Marc Del Gaizo, Marc Del Gaizo, Marc Del Gaizo
Tirs de pénalité
, , Liam Foudy, , Sebastian Aho2
Gardien
#1 : , #2 : Magnus Chrona


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
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,214,517$ 3,214,517$ 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