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Thunder
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 58

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean-Francois Lemelin
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs20


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matthew Poitras (R)X100.00624075717276636761676365675150050640193870,000$
2Curtis McKenzieX100.00584964666472726545655962636864050630322560,000$
3Oskar Back (R)XX100.00664274666765646159635365605250050610231850,833$
4Max Sasson (R)X100.00634265686363626355626065645150050610233870,000$
5Zach L'Heureux (R)X100.00636154686362616343636064635050050610203863,333$
6Adam Beckman (R)X100.00584271676363626443596054645150050590222800,000$
7Chris WagnerX100.005546676562696961575456576168590505903221,000,000$
8Zack Ostapchuk (R)X100.00644263636662616252585960625050050590203825,000$
9Parker Ford (R)X100.00564464676064626142595754625150050580232620,000$
10Adam Edstrom (R)XX100.00664168597162596041555858595150050580223846,667$
11Chase Stillman (R)X100.00614559636362606141575856615050050580203863,333$
12Jayden Grubbe (R)X100.00634363636562616050555659605050050580203867,500$
13Filip Johansson (R)X100.00604170686164636240595765625150050610231895,000$
14Antti Tuomisto (R)X100.00644168636763626140585765605150050610222825,000$
15Maxwell Crozier (R)X100.00614265666463616040585465605250050600232560,000$
16Artem Grushnikov (R)X100.00634264636462616040555565595050050600203814,167$
17Ryan O'Rourke (R)X100.00574466656464636140555356605050050580212800,000$
Rayé
1Ilya Nikolaev (R)X100.00614071636461585549525255575150050560222700,000$
2Patrick Guay (R)XXX100.00564269655959565443525152575050050540212560,000$
3Ole Bjorgvik Holm (R)X100.00574068636454535439504959565050050560212845,333$
MOYENNE D’ÉQUIPE100.0061436665646462614658566061525105059
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Thomas Milic (R)100.0069616361656668666766625050050600203841,667$
2Georgi Romanov (R)100.0067636366666466636466585150050590233910,000$
Rayé
1Oskari Salminen (R)100.0067615968656465616564575250050590242855,000$
2Jacob Ingham (R)100.00655656666261615961615351500505602331,000,000$
3Juho Markkanen (R)100.0055555555555555555555555555050510213620,000$
4Max Paddock (R)100.0038524865363939373436365039050400231560,000$
MOYENNE D’ÉQUIPE100.006058576458585957585854524905054
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 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
Adam BeckmanThunder (Tam)LW222001-05-10CANYes193 Lbs6 ft2NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Adam EdstromThunder (Tam)C/LW222000-10-12SWEYes225 Lbs6 ft8NoNoDraftNoNo32024-06-25FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------846,667$846,667$-------NoNo-------Lien
Antti TuomistoThunder (Tam)D222001-01-20FINYes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Artem GrushnikovThunder (Tam)D202003-03-20RUSYes200 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm814,167$0$0$No814,167$814,167$-------814,167$814,167$-------NoNo-------Lien
Chase StillmanThunder (Tam)RW202003-03-19USAYes185 Lbs6 ft1NoNoProspectNoNo32024-06-25FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------Lien
Chris Wagner (contrat à 1 volet)Thunder (Tam)C321991-05-27USANo195 Lbs6 ft0NoNoN/AYesNo2FalseFalsePro & Farm1,000,000$80,000$4,898$No1,000,000$--------1,000,000$--------No--------Lien
Curtis McKenzie (contrat à 1 volet)Thunder (Tam)LW321991-02-22CANNo205 Lbs6 ft2NoNoN/AYesNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Lien
Filip JohanssonThunder (Tam)D232000-03-23SWEYes176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm895,000$0$0$No---------------------------Lien
Georgi RomanovThunder (Tam)G231999-12-15RUSYes210 Lbs6 ft4NoNoDraftNoNo32024-06-25FalseFalsePro & Farm910,000$0$0$No910,000$910,000$-------910,000$910,000$-------NoNo-------Lien
Ilya NikolaevThunder (Tam)C222001-06-26RUSYes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Jacob InghamThunder (Tam)G232000-06-10CANYes205 Lbs6 ft5NoNoTrade2024-12-07NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Jayden GrubbeThunder (Tam)C202003-01-12CANYes200 Lbs6 ft3NoNoProspectNoNo32024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
Juho MarkkanenThunder (Tam)G212002-04-06FINYes146 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Matthew PoitrasThunder (Tam)C192004-03-10CANYes180 Lbs5 ft11NoNoProspectNoNo32024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Max PaddockThunder (Tam)G232000-06-15CANYes168 Lbs6 ft2NoNoTrade2024-09-17NoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Max SassonThunder (Tam)C232000-09-05USAYes185 Lbs6 ft1NoNoTrade2024-12-07NoNo32024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Maxwell CrozierThunder (Tam)D232000-04-19CANYes197 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Lien
Ole Bjorgvik HolmThunder (Tam)D212002-05-23NORYes190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm845,333$0$0$No845,333$--------845,333$--------No--------Lien
Oskar BackThunder (Tam)C/RW232000-03-12SWEYes200 Lbs6 ft3NoNoTrade2024-10-17NoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Oskari SalminenThunder (Tam)G241999-09-22FINYes201 Lbs6 ft4NoNoN/AYesNo2FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------Lien
Parker Ford (contrat à 1 volet)Thunder (Tam)C232000-07-20USAYes182 Lbs5 ft9NoNoTrade2024-10-17NoNo2FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Patrick GuayThunder (Tam)C/LW/RW212002-04-29CANYes180 Lbs5 ft9NoNoTrade2024-10-17NoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Lien
Ryan O'RourkeThunder (Tam)D212002-05-16CANYes192 Lbs6 ft1NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Thomas MilicThunder (Tam)G202003-04-14CANYes179 Lbs6 ft0NoNoDraftNoNo32024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$841,667$-------841,667$841,667$-------NoNo-------Lien
Zach L'HeureuxThunder (Tam)LW202003-05-15CANYes195 Lbs6 ft0NoNoProspectNoNo32024-07-08FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------Lien
Zack OstapchukThunder (Tam)C202003-05-29CANYes205 Lbs6 ft4NoNoProspectNoNo32024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.42192 Lbs6 ft22.35793,186$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach L'HeureuxOskar Back40122
2Adam BeckmanMatthew Poitras30122
3Max SassonZack Ostapchuk20122
4Zack OstapchukMatthew Poitras10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antti Tuomisto40122
2Filip JohanssonArtem Grushnikov30122
3Maxwell CrozierRyan O'Rourke20122
4Antti Tuomisto10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach L'HeureuxOskar Back60122
2Adam BeckmanMatthew Poitras40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antti Tuomisto60122
2Filip JohanssonArtem Grushnikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew Poitras60122
2Zach L'HeureuxMax Sasson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antti Tuomisto60122
2Filip JohanssonArtem Grushnikov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Antti Tuomisto60122
2Matthew Poitras40122Filip JohanssonArtem Grushnikov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew Poitras60122
2Zach L'HeureuxMax Sasson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antti Tuomisto60122
2Filip JohanssonArtem Grushnikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach L'HeureuxOskar BackAntti Tuomisto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach L'HeureuxOskar BackAntti Tuomisto
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Oskar Back, Oskar Back
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxwell Crozier, Ryan O'Rourke, Filip JohanssonMaxwell CrozierRyan O'Rourke, Filip Johansson
Tirs de pénalité
, Matthew Poitras, Zach L'Heureux, Max Sasson, Oskar Back
Gardien
#1 : Thomas Milic, #2 : Georgi Romanov


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
4 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,844,283$ 1,844,283$ 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$ 3 0$ 0$




Thunder 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

Thunder 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

Thunder 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

Thunder 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

Thunder 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