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Thunderbirds
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jimmy Brisson | Morale : 1 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJimmy Brisson
EntraîneurChris Taylor
DivisionDivision Sud-Ouest
ConférenceConference Ouest
Capitaine
Assistant #1C.J. Smith
Assistant #2Chris Wideman


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs2


Historique d'équipe

Saison actuelle0-0
Historique152-147-26 (0.468%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)26-18
Coupe Stanley0


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
1Paul StastnyX100.006135897273889075967779748189800357303821,900,000$
2Stefan NoesenX100.00693684677877817474737172747071039690311950,000$
3Austin PoganskiX100.00663595738780836467696971746965045690282900,000$
4Ryan LombergX100.009278566870877966657269727673670326902911,000,000$
5Logan O'Connor (R)X100.007935936569858166687271737669670346902721,000,000$
6Alex BelzileXX100.005835957384788073726968697278710456903211,000,000$
7Noel AcciariXX100.008638846472807964976969787773720356903211,900,000$
8C.J. Smith (A)X100.00763694697586797269707170736870045690292825,000$
9Michael ChaputXX100.007339746380747670836969747377690266803211,100,000$
10Stelio Mattheos (R)XX100.00684076667775877267696769666365045680242625,000$
11Lucas Elvenes (R)X100.00633880738278817480666765736566045670242725,000$
12Nolan VeseyXX100.00613886698470706067696869626965045660291700,000$
13Chris Wideman (A)X100.006159636968858468307471726079690366903411,000,000$
14Libor SulakX100.00693886679570706230606270557166040670302525,000$
15Stuart PercyX100.00784580758160816035626272555251037670302900,000$
16Bobby NardellaX100.00563787687578727530696968586668020670282800,000$
17Aaron HarstadX100.00594580757480706035626868667553026660321700,000$
18Sergei BoikovX100.00643676758970736030625667616565038660282900,000$
Rayé
1Dawson LeedahlX100.00553585678360656165556063626465019610281525,000$
2Felix GirardX100.00455070658560726065626267505151019610292525,000$
3Alex PetersX100.00714365629068636930586670556668019660271525,000$
4Keegan KanzigX100.00555565519070855530605065505050029610291525,000$
5Terrance AmorosaX100.00454073607560806030606065505050028600291525,000$
MOYENNE D’ÉQUIPE100.0066428068807577665766667065676503467
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
1Fredrik Bergvik100.0050605065665865656560505050028600292525,000$
2Andrew D'Agostini100.0066676870555456555456656983018600312525,000$
Rayé
MOYENNE D’ÉQUIPE100.005864596861566160605858606702360
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Taylor62677268767174CAN521800,000$


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 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
Aaron HarstadThunderbirds (FLO)D321992-04-27 12:34:37No199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$25,000$0$0$No------------------Lien
Alex BelzileThunderbirds (FLO)C/RW321991-08-31 02:51:12No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$35,714$0$0$No------------------Lien / Lien NHL
Alex PetersThunderbirds (FLO)D271996-07-02 02:35:15No220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Andrew D'AgostiniThunderbirds (FLO)G311993-03-26 03:16:19No173 Lbs5 ft11NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien
Austin PoganskiThunderbirds (FLO)RW281996-02-16 02:06:22No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Bobby NardellaThunderbirds (FLO)D281996-04-22 02:38:50No172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$28,571$0$0$No800,000$--------No--------Lien
C.J. SmithThunderbirds (FLO)LW291994-12-01 23:18:44No191 Lbs5 ft11NoNoN/ANoNo2Pro & Farm825,000$29,464$0$0$No825,000$--------No--------Lien / Lien NHL
Chris WidemanThunderbirds (FLO)D341990-01-07 13:59:29No170 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$35,714$0$0$No------------------Lien / Lien NHL
Dawson LeedahlThunderbirds (FLO)LW281996-03-16 01:42:36No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Felix GirardThunderbirds (FLO)C291994-05-09 00:19:30No194 Lbs5 ft11NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien
Fredrik BergvikThunderbirds (FLO)G291995-02-14 01:34:46No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien
Keegan KanzigThunderbirds (FLO)D291995-02-26 12:46:13No251 Lbs6 ft7NoNoFree AgentNoNo12024-01-06Pro & Farm525,000$18,750$0$0$No------------------Lien
Libor SulakThunderbirds (FLO)D301994-03-04 13:17:59No207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien
Logan O'ConnorThunderbirds (FLO)RW271996-08-14 08:32:19Yes174 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$35,714$0$0$No1,000,000$--------No--------Lien / Lien NHL
Lucas ElvenesThunderbirds (FLO)C241999-08-18 08:41:07Yes173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm725,000$25,893$0$0$No725,000$--------No--------Lien
Michael ChaputThunderbirds (FLO)C/LW321992-04-09 12:31:40No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,100,000$39,286$0$0$No------------------Lien / Lien NHL
Noel AcciariThunderbirds (FLO)C/RW321991-12-01 19:35:26No207 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,900,000$67,857$0$0$No------------------Lien / Lien NHL
Nolan VeseyThunderbirds (FLO)LW/RW291995-03-28 08:39:20No203 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$25,000$0$0$No------------------Lien
Paul StastnyThunderbirds (FLO)C381985-12-27 18:07:48No210 Lbs6 ft0NoNoN/ANoNo2Farm Only1,900,000$67,857$0$0$No1,900,000$--------No--------Lien / Lien NHL
Ryan LombergThunderbirds (FLO)LW291994-12-09 08:42:15No196 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$35,714$0$0$No------------------Lien / Lien NHL
Sergei BoikovThunderbirds (FLO)D281996-01-24 08:45:47No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien
Stefan NoesenThunderbirds (FLO)RW311993-02-12 19:37:53No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm950,000$33,929$0$0$No------------------Lien / Lien NHL
Stelio MattheosThunderbirds (FLO)C/RW241999-06-14 08:43:26Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm625,000$22,321$0$0$No625,000$--------No--------Lien / Lien NHL
Stuart PercyThunderbirds (FLO)D301993-05-18 16:09:10No187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Terrance AmorosaThunderbirds (FLO)D291994-11-13 00:26:28No205 Lbs6 ft2NoNoFree AgentNoNo12024-01-14Pro & Farm525,000$18,750$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2529.56196 Lbs6 ft11.52845,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1C.J. SmithPaul StastnyAustin Poganski40122
2Ryan LombergNoel AcciariAlex Belzile30122
3Nolan VeseyMichael ChaputLogan O'Connor20122
4Paul StastnyStelio MattheosStefan Noesen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLibor Sulak40122
2Bobby NardellaStuart Percy30122
3Aaron HarstadSergei Boikov20122
4Chris WidemanLibor Sulak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1C.J. SmithPaul StastnyAustin Poganski60122
2Ryan LombergNoel AcciariAlex Belzile40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLibor Sulak60122
2Bobby NardellaStuart Percy40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul StastnyAustin Poganski60122
2Noel AcciariAlex Belzile40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLibor Sulak60122
2Bobby NardellaStuart Percy40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Paul Stastny60122Chris WidemanLibor Sulak60122
2Austin Poganski40122Bobby NardellaStuart Percy40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul StastnyAustin Poganski60122
2Noel AcciariAlex Belzile40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLibor Sulak60122
2Bobby NardellaStuart Percy40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
C.J. SmithPaul StastnyAustin PoganskiChris WidemanLibor Sulak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
C.J. SmithPaul StastnyAustin PoganskiChris WidemanLibor Sulak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Elvenes, Logan O'Connor, Stefan NoesenLucas Elvenes, Logan O'ConnorStefan Noesen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Aaron Harstad, Sergei Boikov, Bobby NardellaAaron HarstadSergei Boikov, Bobby Nardella
Tirs de pénalité
Paul Stastny, Austin Poganski, Noel Acciari, Alex Belzile, Logan O'Connor
Gardien
#1 : Andrew D'Agostini, #2 : Fredrik Bergvik


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 billets4020
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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,112,500$ 2,162,500$ 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$ 1 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
1Ryan Lomberg292103103206-1932380242177913.22%55501017.16152540121000313240.95%00.8225
2Noel Acciari30066130196221474446407229.14%73504616.8282634101112118156.14%00.78212
3Logan O'Connor27978105183-94216631161612.66%55427815.3415213686022113443.92%10.8647
4Stefan Noesen2107888166358825635267111.62%37371617.7081826112112512248.14%20.89610
5Chris Wideman24329130159131683903133139.27%326520021.40925341190115220%00.6100

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
1Hunter Miska94403760.8883.7250506131327930420.68025
2Dustin Tokarski1023940100.8843.6851484231627260110.54224
3Charlie Lindgren66322250.8993.5035542020720420020.60010
4Craig Anderson36161410.8893.7318994011810600100.85714
5Andrew D'Agostini45122120.8654.9419552016111930210.8336

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
Saison régulière
2082383204242310312-241221601110144138641161603132166174-896310561871211128710313250882380885738263774062818892555220.39%2596076.83%21406271851.73%1401280449.96%745143252.03%1954134219386011070537
2182293606515275304-2941161702402137144-741131904113138160-228227550678122103867913257588282683754268377175620062615521.07%3377378.34%61546286853.91%1520286653.04%761136255.87%1917129319746191075535
2282373202623310300104117150241215414684120170021115615429131055386320100110967270487491588153279374967118942425321.90%2856975.79%21447282151.29%1503286852.41%737143251.47%1932131519506091088542
2382254701333313349-3641132400121165183-1841122301212148166-186431355586820981071045277085093197137293983665119072194821.92%2837075.27%21437273052.64%1521292352.04%814149254.56%1853125420246181082530
Total Saison régulière32812914701316101312081265-571646872051045600611-11164617508668608654-463331208217533838341339038238105573429348035461821105230962706769697720821.29%116427276.63%1258361113752.40%59451146151.87%3057571853.46%765752067888244843172145
Séries éliminatoires
2019118000007670610640000046397954000003031-122761322080131271716521922392147609166126416811619.75%571573.68%035469451.01%33463452.68%17835250.57%474331433139246125
222515100000090791111560000040364141040000050437309016525500392225484827724827548833273184565802126.25%902077.78%148090952.81%49493352.95%24643756.29%609418630194338164
Total Séries éliminatoires4426180000016614917211110000008675112315800000807465216629746301704942515004694874895514424393109811613722.98%1473576.19%1834160352.03%828156752.84%42478953.74%10837501064333584290

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
1Vinni Lettieri44123042882611811810.17%582418.74213152410113050.39%01.0200
2Ryan Lomberg44171734534978113013.08%582018.644372000003049.44%20.8300
3Logan O'Connor44121931120136612010.00%1075817.240771200022144.26%00.8200
4Noel Acciari44121628416558510311.65%858113.211122400002057.82%10.9600
5Austin Poganski4413142706355310312.62%1062114.131451900012054.17%10.8700

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
1Dustin Tokarski1812420.9012.931106405454801000
2Antoine Bibeau159510.8773.86871205645700000
3Charlie Lindgren73400.9083.36428002426100000
4Maxime Lagace42100.8983.0919401109800000
5Hunter Miska10000.9581.54390012400000