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Thunderbirds
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Francois Prevost | Morale : 40 | Moyenne d’équipe : 67

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrancois Prevost
EntraîneurTeemu Selanne
DivisionJohn-Ahearne
ConférenceRobert-Lebel
CapitaineAnthony Richard
Assistant #1Matt Roy
Assistant #2Sami Niku


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 250
Espoirs0


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
1Anthony Richard (R) (C)X100.007233827676836377787870708263574440730241900,000$
2Dylan Sikura (R)X100.007141817877767177737775727755513940730241950,000$
3Michael Rasmussen (R)X100.007426807282757572757380616753466040710211900,000$
4Emil Bemstrom (R)X100.007225828266736583677475617747455440710212900,000$
5Noah Gregor (R)X100.007033837871727272717179717347485140710222750,000$
6Artturi LehkonenX100.007133788276737073726972657353513740700251750,000$
7Rasmus Kupari (R)X100.006434798060676080726671587843446840680203650,000$
8Paul Cotter (R)X100.007633796376697273727278567048465840680213650,000$
9Trey Fix-Wolansky (R)X100.004840707961726683626768647845456240670213650,000$
10Nathan Smith (R)X100.006141808052585971656669517146455240640221550,000$
11Jakob Pelletier (R)X100.005038807146716264828363425641416540630191500,000$
12Nicholas Robertson (R)X100.005229727453675177716962547841416940630191500,000$
13Henri Jokiharju (R)X100.007830917572787369528061845662465640750211975,000$
14Matt Roy (A)X100.006649837375756477617669776264563940720251900,000$
15Frederic Allard (R)X100.006947797765717273517256786453504540700231750,000$
16Sami Niku (R) (A)X100.006137748163698078487767684660523940690241800,000$
17Calen Addison (R)X100.005833807858546677397757664643435940650203650,000$
18Louis Crevier (R)X100.006628836563586848336739744243427040630192500,000$
Rayé
1Luke Evangelista (R)X100.006142776263666766686165525940407340610182500,000$
2Brendan Brisson (R)X100.005336726746596071816563414741436240600192500,000$
3Sean Farrell (R)X100.005536735744646563667365405040408040580182500,000$
4Jared McIsaac (R)X100.005733787658606875297555664345435040640201550,000$
5Alex Vlasic (R)X100.007025885960675545256649704141417140620191500,000$
MOYENNE D’ÉQUIPE100.00643579736469667161726663624846574067
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
1Emil Larmi100.00736877646583816963787051475140710241700,000$
2Arturs Silovs100.00795260747351516469537441416340620191500,000$
Rayé
1Joel Blomqvist (R)100.00625575474569705545735840407540570182500,000$
MOYENNE D’ÉQUIPE100.0071587162616867635968674443634063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Teemu Selanne77697390877445Fin433650,000$


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 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
Alex VlasicThunderbirds (Stl)D192001-01-01USAYes216 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Anthony RichardThunderbirds (Stl)C241996-01-01CANYes163 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien
Artturi LehkonenThunderbirds (Stl)LW251995-01-01FINNo185 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Arturs SilovsThunderbirds (Stl)G192001-01-01LVANo203 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Brendan BrissonThunderbirds (Stl)C192001-01-01USAYes179 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Calen AddisonThunderbirds (Stl)D202000-01-01CANYes173 Lbs5 ft11NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm650,000$650,000$0$0$No750,000$850,000$-------750,000$850,000$-------NoNo-------Lien
Dylan SikuraThunderbirds (Stl)RW241996-01-01CANYes166 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien
Emil BemstromThunderbirds (Stl)RW211999-01-01SWEYes193 Lbs6 ft0NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm900,000$900,000$0$0$No975,000$--------800,000$--------No--------Lien
Emil LarmiThunderbirds (Stl)G241996-01-01FINNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------Lien
Frederic AllardThunderbirds (Stl)D231997-01-01CANYes179 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien
Henri JokiharjuThunderbirds (Stl)D211999-01-01FINYes200 Lbs6 ft0NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm975,000$975,000$0$0$No---------------------------Lien
Jakob PelletierThunderbirds (Stl)LW192001-01-01CANYes170 Lbs5 ft9NoNoTrade2025-02-03NoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Jared McIsaacThunderbirds (Stl)D202000-01-01CANYes192 Lbs6 ft1NoNoFree Agent2025-04-10NoNo12025-08-28FalseFalsePro & Farm550,000$550,000$0$0$No---------------------------Lien
Joel BlomqvistThunderbirds (Stl)G182002-01-01FINYes178 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Louis CrevierThunderbirds (Stl)D192001-01-01CANYes228 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Luke EvangelistaThunderbirds (Stl)RW182002-01-01CANYes175 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Matt RoyThunderbirds (Stl)D251995-01-01USANo200 Lbs6 ft1NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien
Michael RasmussenThunderbirds (Stl)LW211999-01-01CANYes210 Lbs6 ft6NoNoFree Agent2024-08-09NoNo12024-08-20FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien
Nathan SmithThunderbirds (Stl)C221998-01-01USAYes177 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm550,000$550,000$0$0$No---------------------------Lien
Nicholas RobertsonThunderbirds (Stl)RW192001-01-01USAYes179 Lbs5 ft9NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien
Noah GregorThunderbirds (Stl)C221998-01-01CANYes185 Lbs6 ft0NoNoFree Agent2025-04-15NoNo22025-08-28FalseFalsePro & Farm750,000$750,000$0$0$No850,000$--------850,000$--------No--------Lien
Paul CotterThunderbirds (Stl)LW211999-01-01USAYes212 Lbs6 ft2NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm650,000$650,000$0$0$No750,000$850,000$-------750,000$850,000$-------NoNo-------Lien
Rasmus KupariThunderbirds (Stl)C202000-01-01FINYes200 Lbs6 ft2NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm650,000$650,000$0$0$No750,000$850,000$-------750,000$850,000$-------NoNo-------Lien
Sami NikuThunderbirds (Stl)D241996-01-01FINYes176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien
Sean FarrellThunderbirds (Stl)LW182002-01-01USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------
Trey Fix-WolanskyThunderbirds (Stl)RW211999-01-01CANYes186 Lbs5 ft7NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm650,000$650,000$0$0$No750,000$850,000$-------750,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.00188 Lbs6 ft01.58672,115$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob Pelletier40122
2Michael RasmussenDylan Sikura30122
3Artturi LehkonenEmil Bemstrom20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri Jokiharju40122
2Matt Roy30122
3Frederic AllardSami Niku20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Rasmussen60122
2Jakob PelletierEmil Bemstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami Niku60122
2Matt RoyHenri Jokiharju40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakob Pelletier60122
2Dylan Sikura40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri Jokiharju60122
2Frederic Allard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Henri Jokiharju60122
240122Frederic Allard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Rasmussen60122
2Jakob Pelletier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri Jokiharju60122
2Matt Roy40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierSami Niku
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artturi LehkonenJakob PelletierHenri JokiharjuFrederic Allard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Dylan Sikura, , Artturi Lehkonen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederic Allard, Sami Niku, Sami NikuFrederic Allard,
Tirs de pénalité
, , , ,
Gardien
#1 : Emil Larmi, #2 :
Lignes d’attaque personnalisées en prolongation
, Jakob Pelletier, Dylan Sikura, , , , Artturi Lehkonen, Michael Rasmussen, Emil Bemstrom,
Lignes de défense personnalisées en prolongation
, Henri Jokiharju, , Frederic Allard, Matt Roy


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 billets7040
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$ 1,747,500$ 1,747,500$ 650,000$0$
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$




Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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