Connexion

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 : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrancois Prevost
EntraîneurTeemu Selanne
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1Dylan Blujus
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Pierre Engvall (R)X100.006841957480897867697768836260475540740232925,000$
2Rourke Chartier (R)X100.007633818166837480747775658362594940740231975,000$
3Dylan Sikura (R)X100.007341807677746975727573717552494340720232850,000$
4Joachim Blichfeld (R)X100.006537798465846387757172687853496040720213990,000$
5Anthony Richard (R)X100.007033817572806077777667688157534840710231800,000$
6Trent Frederic (R)X100.006727897171867062727263786749455640700211800,000$
7Artturi Lehkonen (R)X100.006833778273706774716771637251504040690242700,000$
8Michael Rasmussen (R)X100.007026786882717169737178586448446633680202850,000$
9Emil Bemstrom (R)X100.006725818060685981657273597542435940680203800,000$
10Paul Cotter (R)X100.007433765874666970697077516845446340660201500,000$
11Rasmus Kupari (R)X100.005834787953615378706268557642427540640191500,000$
12Trey Fix-Wolansky (R)X100.004340677657696282596365617642436840640201500,000$
13Jeremy Lauzon (R)X100.006235848270738078488668786365495440730222850,000$
14Dylan Blujus (R) (A)X100.007537777776707675636870756871543640720251800,000$
15Henri Jokiharju (R)X100.007430897169746966477657825254446240720202825,000$
16Matt Roy (R)X100.006649827374766278597468756060544340720242800,000$
17Frederic Allard (R)X100.006947787464717073527055776248484940690222750,000$
18Sami Niku (R)X100.005937728062677976457567674455504340670232800,000$
Rayé
1Rafael Harvey-Pinard (R)X100.007145847574676661626962537644455538640202500,000$
2Nathan Smith (R)X100.006040777851575769636267497045445940620211500,000$
3Nicholas Robertson (R)X100.005028717350654976686760497640407840610182500,000$
4Calen Addison (R)X100.005730777556526476387555644442426740630191500,000$
5Alex Vlasic (R)X100.006822875658665442236546673940408040600182500,000$
MOYENNE D’ÉQUIPE100.00663580756771667361716666675147574068
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
1Magnus Hellberg100.00736465746871686970717369662540690281700,000$
2Emil Larmi100.00735973576181796558756744445640670232600,000$
Rayé
1Arturs Silovs (R)100.00775158727149476266527240407040590182500,000$
MOYENNE D’ÉQUIPE100.0074586568676765656566715150504065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Teemu Selanne77697390877445Fin424650,000$


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 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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)D182001-01-01Yes216 Lbs6 ft6NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Lien
Anthony RichardThunderbirds (Stl)C231996-01-01Yes163 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No------------------
Artturi LehkonenThunderbirds (Stl)LW241995-01-01Yes185 Lbs5 ft11NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm700,000$700,000$0$0$No750,000$--------No--------
Arturs SilovsThunderbirds (Stl)G182001-01-01Yes203 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Lien
Calen AddisonThunderbirds (Stl)D192000-01-01Yes173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Dylan BlujusThunderbirds (Stl)D251994-01-01Yes191 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm800,000$800,000$0$0$No------------------
Dylan SikuraThunderbirds (Stl)RW231996-01-01Yes166 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$850,000$0$0$No950,000$--------No--------
Emil BemstromThunderbirds (Stl)RW201999-01-01Yes193 Lbs6 ft0NoNoFree AgentNoNo32024-08-20FalseFalsePro & Farm800,000$800,000$0$0$No900,000$975,000$-------NoNo-------
Emil LarmiThunderbirds (Stl)G231996-01-01No185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm600,000$600,000$0$0$No700,000$--------No--------
Frederic AllardThunderbirds (Stl)D221997-01-01Yes179 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------No--------
Henri JokiharjuThunderbirds (Stl)D201999-01-01Yes200 Lbs6 ft0NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm825,000$825,000$0$0$No975,000$--------No--------
Jeremy LauzonThunderbirds (Stl)D221997-01-01Yes204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------No--------
Joachim BlichfeldThunderbirds (Stl)RW211998-01-01Yes187 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm990,000$990,000$0$0$No1,500,000$2,200,000$-------NoNo-------
Magnus HellbergThunderbirds (Stl)G281991-01-01No185 Lbs6 ft5NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm700,000$700,000$0$0$No------------------
Matt RoyThunderbirds (Stl)D241995-01-01Yes200 Lbs6 ft1NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm800,000$800,000$0$0$No900,000$--------No--------
Michael RasmussenThunderbirds (Stl)LW201999-01-01Yes210 Lbs6 ft6NoNoFree Agent2024-08-09NoNo22024-08-20FalseFalsePro & Farm850,000$850,000$0$0$No900,000$--------No--------
Nathan SmithThunderbirds (Stl)C211998-01-01Yes177 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Nicholas RobertsonThunderbirds (Stl)RW182001-01-01Yes179 Lbs5 ft9NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Lien
Paul CotterThunderbirds (Stl)LW201999-01-01Yes212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Pierre EngvallThunderbirds (Stl)LW231996-01-01Yes215 Lbs6 ft5NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm925,000$925,000$0$0$No1,250,000$--------No--------
Rafael Harvey-PinardThunderbirds (Stl)LW201999-01-01Yes183 Lbs6 ft0NoNoTrade2024-08-09NoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Lien
Rasmus KupariThunderbirds (Stl)C192000-01-01Yes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Rourke ChartierThunderbirds (Stl)C231996-01-01Yes190 Lbs6 ft0NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm975,000$975,000$0$0$No------------------
Sami NikuThunderbirds (Stl)D231996-01-01Yes176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------
Trent FredericThunderbirds (Stl)C211998-01-01Yes203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No------------------
Trey Fix-WolanskyThunderbirds (Stl)RW201999-01-01Yes186 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.46191 Lbs6 ft11.69704,423$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre EngvallRourke ChartierJoachim Blichfeld40122
2Michael RasmussenAnthony RichardDylan Sikura30122
3Paul CotterTrent FredericEmil Bemstrom20122
4Artturi LehkonenRasmus KupariTrey Fix-Wolansky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonHenri Jokiharju40122
2Dylan BlujusMatt Roy30122
3Frederic AllardSami Niku20122
4Jeremy LauzonDylan Blujus10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RasmussenRourke ChartierJoachim Blichfeld60122
2Paul CotterAnthony RichardEmil Bemstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuJeremy Lauzon60122
2Matt RoyHenri Jokiharju40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericPierre Engvall60122
2Anthony RichardDylan Sikura40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuJeremy Lauzon60122
2Dylan BlujusFrederic Allard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Dylan BlujusHenri Jokiharju60122
2Anthony Richard40122Jeremy LauzonFrederic Allard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rourke ChartierMichael Rasmussen60122
2Anthony RichardArtturi Lehkonen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuDylan Blujus60122
2Matt RoyJeremy Lauzon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RasmussenRourke ChartierJoachim BlichfeldJeremy LauzonSami Niku
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre EngvallTrent FredericDylan SikuraHenri JokiharjuFrederic Allard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rasmus Kupari, Dylan Sikura, Trey Fix-WolanskyTrent Frederic, Artturi LehkonenTrey Fix-Wolansky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederic Allard, Sami Niku, Jeremy LauzonSami NikuFrederic Allard, Dylan Blujus
Tirs de pénalité
Rourke Chartier, Anthony Richard, Joachim Blichfeld, Trey Fix-Wolansky, Rasmus Kupari
Gardien
#1 : Emil Larmi, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Rourke Chartier, Pierre Engvall, Dylan Sikura, Joachim Blichfeld, Anthony Richard, Trent Frederic, Trent Frederic, Artturi Lehkonen, Michael Rasmussen, Emil Bemstrom, Paul Cotter
Lignes de défense personnalisées en prolongation
Jeremy Lauzon, Henri Jokiharju, Dylan Blujus, 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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,831,500$ 1,762,500$ 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