Connexion

Thunder
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 59
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 Pro34
Équipe Mineure19
Limite contact 53 / 50
Espoirs21


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
1Pontus Holmberg (R)XX100.00674678747880697068686568695650050670232827,500$
2John Beecher (R)X100.00754873708174666671616267665250050650212925,000$
3Nathan ToddX100.00584272666368666449605859635751050600261811,111$
4Chris WagnerX100.005546676562696961575456576168590505903121,000,000$
5Gabriel Fortier (R)X100.00584272686065646259595756625250050590221791,667$
6Ilya Nikolaev (R)X100.00614071636461585549525255575150050560212700,000$
7Blade Jenkins (R)X100.00624270636560585540515154565150050550221600,000$
8Blake Murray (R)X100.00564067616352525446505053555050050530212791,667$
9Jackson LaCombe (R)X100.00654381748485717040696374695550050700212825,000$
10Marcus Bjork (R)X100.0064446667747365654063606864535005064N0242620,000$
11Jett Woo (R)X100.00635556706564626440615668635150050620221860,833$
12Maxwell Crozier (R)X100.00614265666463616040585465605250050600222560,000$
13Jacob LarssonX100.00554963666462615839534961595450050580252900,000$
14Ole Bjorgvik Holm (R)X100.00574068636454535439504959565050050560202845,333$
Rayé
1Matthew Poitras (R)X100.00624075717276636761676365675150050640183870,000$
2Zach L'Heureux (R)X100.00636154686362616343636064635050050610193863,333$
3Adam Beckman (R)X100.005842716763636264435960546451500505902100$
4Zack Ostapchuk (R)X100.00644263636662616252585960625050050590193825,000$
5Adam Edstrom (R)XX100.00664168597162596041555858595150050580213846,667$
6Chase Stillman (R)X100.00614559636362606141575856615050050580193863,333$
7Jayden Grubbe (R)X100.00634363636562616050555659605050050580193867,500$
8Ethan Keppen (R)X100.00585162586654545439505053555050050530211560,000$
9Artur Kayumov (R)XX100.00334543435329293343303043373230050370241800,000$
10Filip Johansson (R)X100.00604170686164636240595765625150050610221895,000$
11Antti Tuomisto (R)X100.00644168636763626140585765605150050610212825,000$
12Artem Grushnikov (R)X100.00634264636462616040555565595050050600193814,167$
13Ryan O'Rourke (R)X100.005744666564646361405553566050500505802000$
MOYENNE D’ÉQUIPE100.0060446665666461604657556060515005059
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
1Samuel Ersson (R)100.0081777877838178808080775651050720221859,167$
2Oskari Salminen (R)100.0067615968656465616564575250050590232855,000$
Rayé
1Olivier Rodrigue (R)100.0073636559676872697068595150050620221795,000$
2Thomas Milic (R)100.0069616361656668666766625050050600193841,667$
3Georgi Romanov (R)100.0067636366666466636466585150050590223910,000$
4John Lethemon (R)100.0064585664605656515860555450050540262825,000$
5Juho Markkanen (R)100.0055555555555555555555555555050510203620,000$
MOYENNE D’ÉQUIPE100.006863636466656664666660535105060
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 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)LW212001-05-10Yes193 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Adam EdstromThunder (Tam)C/LW212000-10-12Yes225 Lbs6 ft8NoNoDraftNoNo32024-06-25FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------846,667$846,667$-------NoNo-------Lien
Antti TuomistoThunder (Tam)D212001-01-20Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Artem GrushnikovThunder (Tam)D192003-03-20Yes200 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm814,167$0$0$No814,167$814,167$-------814,167$814,167$-------NoNo-------Lien
Artur KayumovThunder (Tam)LW/RW241998-02-14Yes176 Lbs5 ft11NoNoN/AYesYes1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Blade JenkinsThunder (Tam)LW222000-08-11Yes195 Lbs6 ft2NoNoTrade2024-01-24NoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Blake MurrayThunder (Tam)C212001-07-05Yes187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm791,667$0$0$No791,667$--------791,667$--------No--------Lien
Chase StillmanThunder (Tam)RW192003-03-19Yes185 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)C311991-05-27No195 Lbs6 ft0NoNoN/AYesYes2FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$--------1,000,000$--------No--------Lien
Ethan KeppenThunder (Tam)LW212001-03-20Yes209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Filip JohanssonThunder (Tam)D222000-03-23Yes176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm895,000$0$0$No---------------------------Lien
Gabriel FortierThunder (Tam)LW222000-02-06Yes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm791,667$0$0$No---------------------------Lien
Georgi RomanovThunder (Tam)G221999-12-15Yes210 Lbs6 ft4NoNoDraftNoNo32024-06-25FalseFalsePro & Farm910,000$0$0$No910,000$910,000$-------910,000$910,000$-------NoNo-------Lien
Ilya NikolaevThunder (Tam)C212001-06-26Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Jackson LaCombeThunder (Tam)D212001-01-09Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Jacob LarssonThunder (Tam)D251997-04-29No190 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jayden GrubbeThunder (Tam)C192003-01-12Yes200 Lbs6 ft3NoNoProspectNoNo32024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
Jett WooThunder (Tam)D222000-07-27Yes199 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm860,833$0$0$No---------------------------Lien
John BeecherThunder (Tam)C212001-04-05Yes216 Lbs6 ft3NoNoTrade2024-01-25NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
John LethemonThunder (Tam)G261996-08-15Yes190 Lbs6 ft3NoNoN/AYesYes2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Juho MarkkanenThunder (Tam)G202002-04-06Yes146 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Marcus Bjork (contrat à 1 volet)Thunder (Tam)D241997-11-24Yes212 Lbs6 ft4YesNoN/AYesYes2FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------Yes--------Lien
Matthew PoitrasThunder (Tam)C182004-03-10Yes180 Lbs5 ft11NoNoProspectNoNo32024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Maxwell CrozierThunder (Tam)D222000-04-19Yes197 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Lien
Nathan ToddThunder (Tam)C261995-12-02No200 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm811,111$0$0$No---------------------------Lien
Ole Bjorgvik HolmThunder (Tam)D202002-05-23Yes190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm845,333$0$0$No845,333$--------845,333$--------No--------Lien
Olivier RodrigueThunder (Tam)G222000-07-06Yes175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm795,000$0$0$No---------------------------Lien
Oskari SalminenThunder (Tam)G231999-09-22Yes201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------Lien
Pontus HolmbergThunder (Tam)C/LW231999-03-09Yes188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm827,500$0$0$No827,500$--------827,500$--------No--------Lien
Ryan O'RourkeThunder (Tam)D202002-05-16Yes192 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Samuel ErssonThunder (Tam)G221999-10-20Yes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Thomas MilicThunder (Tam)G192003-04-14Yes179 Lbs6 ft0NoNoDraftNoNo32024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$841,667$-------841,667$841,667$-------NoNo-------Lien
Zach L'HeureuxThunder (Tam)LW192003-05-15Yes195 Lbs6 ft0NoNoProspectNoNo32024-07-08FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------Lien
Zack OstapchukThunder (Tam)C192003-05-29Yes205 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
3421.71194 Lbs6 ft21.91758,645$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,417,395$ 2,417,395$ 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$




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