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Thunderbirds
GP: 16 | W: 11 | L: 5 | OTL: 0 | P: 22
GF: 63 | GA: 37 | PP%: 20.97% | PK%: 76.19%
DG: Fred | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Moose
12-4-0, 24pts
2
FINAL
3 Thunderbirds
11-5-0, 22pts
Team Stats
W3SéquenceW6
6-2-0Fiche domicile6-2-0
6-2-0Fiche domicile5-3-0
7-3-0Derniers 10 matchs7-3-0
5.75Buts par match 3.94
2.31Buts contre par match 2.31
21.13%Pourcentage en avantage numérique20.97%
87.34%Pourcentage en désavantage numérique76.19%
Silver Knights
12-4-0, 24pts
1
FINAL
3 Thunderbirds
11-5-0, 22pts
Team Stats
L2SéquenceW6
7-1-0Fiche domicile6-2-0
5-3-0Fiche domicile5-3-0
7-3-0Derniers 10 matchs7-3-0
5.00Buts par match 3.94
1.56Buts contre par match 2.31
18.64%Pourcentage en avantage numérique20.97%
88.31%Pourcentage en désavantage numérique76.19%
Meneurs d'équipe
Logan MorrisonButs
Logan Morrison
11
Joel HanleyPasses
Joel Hanley
15
Logan MorrisonPoints
Logan Morrison
20
Zack OstapchukPlus/Moins
Zack Ostapchuk
16
James ReimerVictoires
James Reimer
9
James ReimerPourcentage d’arrêts
James Reimer
0.903

Statistiques d’équipe
Buts pour
63
3.94 GFG
Tirs pour
460
28.75 Avg
Pourcentage en avantage numérique
21.0%
13 GF
Début de zone offensive
43.8%
Buts contre
37
2.31 GAA
Tirs contre
332
20.75 Avg
Pourcentage en désavantage numérique
76.2%%
15 GA
Début de la zone défensive
33.6%
Informations de l'équipe

Directeur généralFred
EntraîneurPatrick Roy
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 51
Espoirs42


Historique d'équipe

Saison actuelle11-5-0 (22PTS)
Historique0--0
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Zack OstapchukXX100.008978788981568762825558762558586650660231850,000$
2Adam Sykora (R)XXX100.008396867671589062445978702545457450650222850,000$
3Logan MorrisonXX100.007369816469798366806267646444446850630241870,000$
4Justin Robidas (R)X100.00706191646174766780656563624444665062N02331,000,000$
5Georgii Merkulov (R)XXX100.006963846363828665506364626145456650620262925,000$
6Matthew SeminoffX100.00756989646982876350596364604444665062N0223900,000$
7Ty Mueller (R)XX100.00726785636778826278576263594444645061N0233900,000$
8Jayden GrubbeX100.00777679647671775063494562434444555056N0233875,000$
9Mathias LaferriereXX100.007569886469515152505347624544445550550263850,000$
10Keean WashkurakX100.00616553536552535164465154484444515051N0253875,000$
11Joel HanleyX100.006762817168658562254947802566686150660351950,000$
12Cale FleuryX100.008776907275694863254848812556566250660273950,000$
13Vincent Iorio (R)X100.006743867083675562254947832547486050650231863,333$
14Jacob BrysonX100.006140937762556759255048742566665950630282900,000$
15Isaiah GeorgeX100.007874876174636751254740643847475450590222850,000$
16Christian Kyrou (R)X100.007362976362555652254643614144445550560233878,333$
Rayé
1Topi NiemelaX100.00746791656771775125474061384444555059N0243875,000$
2Hunter Skinner (R)X100.007374715874707649253745604344445350570251925,000$
3Braden HacheX100.00727955557953564525354058384444485054N0233875,000$
MOYENNE D’ÉQUIPE100.00736882667066725846515366424848605060
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
1James Reimer100.006549537865578765656575737465506603811,400,000$
2Zach Sawchenko100.00454860714848515248463044444450510282850,000$
Rayé
MOYENNE D’ÉQUIPE100.0055495775575369595756535959555059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy78827985908456CAN602975,000$


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
1Logan MorrisonThunderbirds (STL)C/RW161192013235232955215720.00%536923.113258450000145075.09%27700001.0800001132
2Joel HanleyThunderbirds (STL)D164151912175192139102010.26%2034321.4922422430000400060.00%500001.1100001122
3Georgii MerkulovThunderbirds (STL)C/LW/RW1689171360212362164112.90%235422.14022944000001054.55%5500000.9600000212
4Justin RobidasThunderbirds (STL)C14411158809214316369.30%231222.32066637000191073.73%23600000.9600000001
5Vincent IorioThunderbirds (STL)D16691592018132991820.69%1437023.1422414390000430057.14%700000.8100000110
6Jacob BrysonThunderbirds (STL)D1641115108012212492216.67%1431119.491341241000040000%000000.9600000010
7Zack OstapchukThunderbirds (STL)C/LW96814166021143491717.65%016918.7900028000002061.54%1300011.6600000321
8Ty MuellerThunderbirds (STL)C/RW14581374092036112613.89%021915.68123542000000067.13%14300001.1800000103
9Matthew SeminoffThunderbirds (STL)RW14371091002012319369.68%223216.6401105000000069.23%1300000.8600000100
10Christian KyrouThunderbirds (STL)D162796802210127316.67%429918.732248420000110040.00%500000.6000000010
11Cale FleuryThunderbirds (STL)D1436911295431919101415.79%729320.93101616000038100%000000.6100010101
12Adam SykoraThunderbirds (STL)C/LW/RW962882356636122416.67%013715.2410139000000266.67%1200001.1700100011
13Isaiah GeorgeThunderbirds (STL)D1403311802123150%721015.030000500004000%000000.2900000000
14Mathias LaferriereThunderbirds (STL)C/RW1411241401810134107.69%122215.9100004000001051.16%8600000.1800000000
Statistiques d’équipe totales ou en moyenne198631061691371662026222143614432914.45%78384719.4313223595386000120311268.78%85200010.8800112111213
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
1James ReimerThunderbirds (STL)149500.9031.92813022626901000140000
2Zach SawchenkoThunderbirds (STL)10000.6257.5024003800000014000
Statistiques d’équipe totales ou en moyenne159500.8952.08837022927701001414000


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
Adam SykoraThunderbirds (STL)C/LW/RW222004-09-07SVKYes193 Lbs5 ft11NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Braden HacheThunderbirds (STL)D232003-05-21NBNo210 Lbs6 ft3YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Cale FleuryThunderbirds (STL)D271998-11-19CANNo204 Lbs6 ft1NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Christian KyrouThunderbirds (STL)D232003-09-16CANYes170 Lbs5 ft10NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm878,333$878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------Lien / Lien NHL
Georgii MerkulovThunderbirds (STL)C/LW/RW262000-10-10RUSYes174 Lbs5 ft11NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Hunter SkinnerThunderbirds (STL)D252001-04-29USAYes195 Lbs6 ft3NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Isaiah GeorgeThunderbirds (STL)D222004-02-15CANNo203 Lbs6 ft1NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Jacob BrysonThunderbirds (STL)D281997-11-18CANNo177 Lbs5 ft9NoNoTrade2025-10-13NoNo22024-07-05FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
James ReimerThunderbirds (STL)G381988-03-15CANNo200 Lbs6 ft2NoNoFree AgentNoNo12024-08-04FalseFalsePro & Farm1,400,000$1,400,000$0$0$No---------------------------Lien / Lien NHL
Jayden GrubbeThunderbirds (STL)C232003-01-12CANNo200 Lbs6 ft3YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Joel HanleyThunderbirds (STL)D351991-06-08CANNo186 Lbs5 ft11NoNoTrade2025-10-13NoNo12024-08-16FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien / Lien NHL
Justin RobidasThunderbirds (STL)C232003-03-13USAYes176 Lbs5 ft8YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien / Lien NHL
Keean WashkurakThunderbirds (STL)C252001-08-16ONTNo184 Lbs5 ft10YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Logan MorrisonThunderbirds (STL)C/RW242002-07-09CANNo188 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-12FalseFalsePro & Farm870,000$870,000$0$0$No---------------------------Lien / Lien NHL
Mathias LaferriereThunderbirds (STL)C/RW262000-06-27QUENo188 Lbs6 ft1NoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Matthew SeminoffThunderbirds (STL)RW222003-12-27USANo190 Lbs5 ft11YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Topi NiemelaThunderbirds (STL)D242002-03-25FINNo181 Lbs6 ft0YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Ty MuellerThunderbirds (STL)C/RW232003-02-26CANYes185 Lbs5 ft11YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Vincent IorioThunderbirds (STL)D232002-11-14CANYes220 Lbs6 ft4NoNoAssign ManuallyNoNo12024-06-29FalseFalsePro & Farm863,333$863,333$0$0$No---------------------------Lien / Lien NHL
Zach SawchenkoThunderbirds (STL)G281997-12-30CANNo187 Lbs6 ft1NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Zack OstapchukThunderbirds (STL)C/LW232003-05-29CANNo212 Lbs6 ft4NoNoAssign Manually2024-07-11NoNo12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.38192 Lbs6 ft02.19914,841$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack OstapchukLogan MorrisonAdam Sykora40122
2Georgii MerkulovJustin RobidasMatthew Seminoff30122
3Ty MuellerMathias Laferriere20122
4Logan MorrisonMathias Laferriere10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioCale Fleury40122
2Joel HanleyChristian Kyrou30122
3Jacob BrysonIsaiah George20122
4Joel HanleyVincent Iorio10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan MorrisonGeorgii Merkulov60122
2Justin RobidasTy Mueller40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioJacob Bryson60122
2Christian KyrouJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Justin Robidas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioCale Fleury60122
2Joel HanleyJacob Bryson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Justin Robidas40122Vincent Iorio40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Justin Robidas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Vincent Iorio40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vincent IorioCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Justin Robidas,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Vincent Iorio, Vincent Iorio
Tirs de pénalité
, , , ,
Gardien
#1 : James Reimer, #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
, , , , , , , , Logan Morrison,
Lignes de défense personnalisées en prolongation
, , , Vincent Iorio,


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
1 Americans211000004311010000012-11100000031220.50045900331614076169142149035816413133.33%8275.00%032346170.07%17735350.14%14723861.76%50638627687176104
2Admirals2200000012111110000006151100000060641.000122335013316140831691421490263830200.00%30100.00%032346170.07%17735350.14%14723861.76%50638627687176104
3Firebirds21100000853110000006241010000023-120.50081624003316140411691421490469462817423.53%10280.00%032346170.07%17735350.14%14723861.76%50638627687176104
4Ice Hogs2200000014113110000009091100000051441.00014223601331614070169142149026312463133.33%60100.00%032346170.07%17735350.14%14723861.76%50638627687176104
5Moose22000000752110000003211100000043141.000712190033161405316914214905011253421419.05%9455.56%032346170.07%17735350.14%14723861.76%50638627687176104
6Silver Knights2110000038-5110000003121010000007-720.500369003316140421691421490411427331100.00%11372.73%032346170.07%17735350.14%14723861.76%50638627687176104
7Stars220000001284110000006421100000064241.000121729003316140691691421490551863522100.00%3233.33%032346170.07%17735350.14%14723861.76%50638627687176104
8Wild2020000036-31010000023-11010000013-200.000369003316140261691421490532028353133.33%13284.62%032346170.07%17735350.14%14723861.76%50638627687176104
Total1611500000633726862000003615218530000027225220.68863107170023316140460169142149033286168282621320.97%631576.19%032346170.07%17735350.14%14723861.76%50638627687176104
_Since Last GM Reset1611500000633726862000003615218530000027225220.68863107170023316140460169142149033286168282621320.97%631576.19%032346170.07%17735350.14%14723861.76%50638627687176104
_Vs Conference1611500000633726862000003615218530000027225220.68863107170023316140460169142149033286168282621320.97%631576.19%032346170.07%17735350.14%14723861.76%50638627687176104
_Vs Division10115000004821275620000026101655300000221111221.10048801280233161403011691421490210557918031825.81%34876.47%032346170.07%17735350.14%14723861.76%50638627687176104

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1622W6631071704603328616828202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1611500006337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86200003615
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300002722
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621320.97%631576.19%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
16914214903316140
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
32346170.07%17735350.14%14723861.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
50638627687176104


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
115Thunderbirds6Stars4WSommaire du match
229Stars4Thunderbirds6WSommaire du match
440 Americans2Thunderbirds1LSommaire du match
558Thunderbirds2Firebirds3LSommaire du match
660Thunderbirds5Ice Hogs1WSommaire du match
780Admirals1Thunderbirds6WSommaire du match
9104Firebirds2Thunderbirds6WSommaire du match
10108Thunderbirds1Wild3LSommaire du match
11132Thunderbirds0Silver Knights7LSommaire du match
13151Wild3Thunderbirds2LSommaire du match
14167Thunderbirds6Admirals0WSommaire du match
15177Ice Hogs0Thunderbirds9WSommaire du match
16191Thunderbirds4Moose3WSommaire du match
18205Thunderbirds3 Americans1WSommaire du match
19219Moose2Thunderbirds3WSommaire du match
22249Silver Knights1Thunderbirds3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,921,166$ 1,921,166$ 975,000$0$
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
Saison régulière
Total Saison régulière00000000000000%0%0%0%0%000000
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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