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Thunderbirds
GP: 6 | W: 5 | L: 1 | OTL: 0 | P: 10
GF: 32 | GA: 12 | PP%: 27.59% | PK%: 81.48%
DG: Fred | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #89 vs Silver Knights

Centre de jeu
Thunderbirds
5-1-0, 10pts
11
FINAL
0 Admirals
1-4-0, 2pts
Team Stats
W3SéquenceL4
2-0-0Fiche domicile1-2-0
3-1-0Fiche domicile0-2-0
5-1-0Derniers 10 matchs1-4-0
5.33Buts par match 2.20
2.00Buts contre par match 8.40
27.59%Pourcentage en avantage numérique8.33%
81.48%Pourcentage en désavantage numérique50.00%
Thunderbirds
5-1-0, 10pts
4
FINAL
0 Americans
2-3-0, 4pts
Team Stats
W3SéquenceL1
2-0-0Fiche domicile1-2-0
3-1-0Fiche domicile1-1-0
5-1-0Derniers 10 matchs2-3-0
5.33Buts par match 2.80
2.00Buts contre par match 4.00
27.59%Pourcentage en avantage numérique11.76%
81.48%Pourcentage en désavantage numérique81.82%
Silver Knights
4-1-0, 8pts
Jour 15
Thunderbirds
5-1-0, 10pts
Statistiques d’équipe
W4SéquenceW3
3-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur3-1-0
4-1-010 derniers matchs5-1-0
4.20Buts par match 5.33
1.80Buts contre par match 5.33
20.00%Pourcentage en avantage numérique27.59%
76.19%Pourcentage en désavantage numérique81.48%
Thunderbirds
5-1-0, 10pts
Jour 17
Silver Knights
4-1-0, 8pts
Statistiques d’équipe
W3SéquenceW4
2-0-0Fiche domicile3-0-0
3-1-0Fiche visiteur1-1-0
5-1-010 derniers matchs4-1-0
5.33Buts par match 4.20
2.00Buts contre par match 4.20
27.59%Pourcentage en avantage numérique20.00%
81.48%Pourcentage en désavantage numérique76.19%
Thunderbirds
5-1-0, 10pts
Jour 19
Ice Hogs
1-5-0, 2pts
Statistiques d’équipe
W3SéquenceW1
2-0-0Fiche domicile0-2-0
3-1-0Fiche visiteur1-3-0
5-1-010 derniers matchs1-5-0
5.33Buts par match 2.67
2.00Buts contre par match 2.67
27.59%Pourcentage en avantage numérique25.00%
81.48%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Adam SykoraButs
Adam Sykora
5
Zack OstapchukPasses
Zack Ostapchuk
9
Justin RobidasPoints
Justin Robidas
12
Georgii MerkulovPlus/Moins
Georgii Merkulov
10
James ReimerVictoires
James Reimer
5
James ReimerPourcentage d’arrêts
James Reimer
0.876

Statistiques d’équipe
Buts pour
32
5.33 GFG
Tirs pour
211
35.17 Avg
Pourcentage en avantage numérique
27.6%
8 GF
Début de zone offensive
47.8%
Buts contre
12
2.00 GAA
Tirs contre
97
16.17 Avg
Pourcentage en désavantage numérique
81.5%%
5 GA
Début de la zone défensive
28.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,865
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 51
Espoirs42


Historique d'équipe

Saison actuelle5-1-0 (10PTS)
Historique5-1-0 (0.833%)
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$
12Vincent Iorio (R)X100.006743867083675562254947832547486050650231863,333$
13Jacob BrysonX100.006140937762556759255048742566665950630282900,000$
14Isaiah GeorgeX100.007874876174636751254740643847475450590222850,000$
15Topi NiemelaX100.00746791656771775125474061384444555059N0243875,000$
16Christian Kyrou (R)X100.007362976362555652254643614144445550560233878,333$
Rayé
1Hunter Skinner (R)X100.007374715874707649253745604344445350570251925,000$
2Braden HacheX100.00727955557953564525354058384444485054N0233875,000$
MOYENNE D’ÉQUIPE100.00736782667066735747525366434848605060
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
1Justin RobidasThunderbirds (STL)C648129407152282218.18%013021.78022321000070066.67%12600001.8400000210
2Zack OstapchukThunderbirds (STL)C/LW6291176019132412208.33%112120.26022470001101061.54%2600001.8100000012
3Joel HanleyThunderbirds (STL)D6281048094123516.67%512921.63213721000016100%000001.5400000000
4Adam SykoraThunderbirds (STL)C/LW/RW6538520752551820.00%110717.93112390000102083.33%1200011.4900000001
5Matthew SeminoffThunderbirds (STL)RW65387951041742229.41%09515.9511228000001166.67%300001.6700001110
6Logan MorrisonThunderbirds (STL)C/RW616752057142217.14%212621.110332200000110072.22%10800001.1100000011
7Georgii MerkulovThunderbirds (STL)C/LW/RW624610601082021810.00%113021.81112221000020083.33%1200000.9200000000
8Ty MuellerThunderbirds (STL)C/RW6415620871761223.53%010617.78101313000060060.00%5000000.9400000001
9Vincent IorioThunderbirds (STL)D61458808812358.33%513322.30011719000020000%000000.7500000000
10Jacob BrysonThunderbirds (STL)D61455005412278.33%412020.1110181900011600100.00%200000.8300000000
11Christian KyrouThunderbirds (STL)D622454010172428.57%410918.3111252100006000%000000.7300000000
12Isaiah GeorgeThunderbirds (STL)D60335601022030%110717.8700004000010000%000000.5600000000
13Mathias LaferriereThunderbirds (STL)C/RW62134601110160712.50%09115.1800020000000047.37%1900000.6600000100
14Jayden GrubbeThunderbirds (STL)C31012002081412.50%04414.8300000000000072.22%3600000.4500000000
15Topi NiemelaThunderbirds (STL)D3011500012000%24916.540000000001000%000000.4000000000
16Keean WashkurakThunderbirds (STL)C3000100110000%062.3100000000000080.00%50000000000000
Statistiques d’équipe totales ou en moyenne8732578988635122902105016815.24%26161318.54813214818900021205167.92%39900011.1000001445
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)65100.8762.003600212970000060000
Statistiques d’équipe totales ou en moyenne65100.8762.00360021297000060000


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$798,364$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Braden HacheThunderbirds (STL)D232003-05-21NBNo210 Lbs6 ft3YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$821,846$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Christian KyrouThunderbirds (STL)D232003-09-16CANYes170 Lbs5 ft10NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm878,333$824,976$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------Lien / Lien NHL
Georgii MerkulovThunderbirds (STL)C/LW/RW262000-10-10RUSYes174 Lbs5 ft11NoNoAssign ManuallyNoYes22025-06-14FalseFalsePro & Farm925,000$868,808$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Hunter SkinnerThunderbirds (STL)D252001-04-29USAYes195 Lbs6 ft3NoNoAssign ManuallyNoYes12024-06-29FalseFalsePro & Farm925,000$868,808$0$0$No---------------------------Lien / Lien NHL
Isaiah GeorgeThunderbirds (STL)D222004-02-15CANNo203 Lbs6 ft1NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Jacob BrysonThunderbirds (STL)D281997-11-18CANNo177 Lbs5 ft9NoNoTrade2025-10-13NoYes22024-07-05FalseFalsePro & Farm900,000$845,327$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
James ReimerThunderbirds (STL)G381988-03-15CANNo200 Lbs6 ft2NoNoFree AgentNoYes12024-08-04FalseFalsePro & Farm1,400,000$1,314,953$0$0$No---------------------------Lien / Lien NHL
Jayden GrubbeThunderbirds (STL)C232003-01-12CANNo200 Lbs6 ft3YesNoFree AgentNoNo32026-09-06FalseFalsePro & Farm875,000$821,846$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Joel HanleyThunderbirds (STL)D351991-06-08CANNo186 Lbs5 ft11NoNoTrade2025-10-13NoYes12024-08-16FalseFalsePro & Farm950,000$892,290$0$0$No---------------------------Lien / Lien NHL
Justin RobidasThunderbirds (STL)C232003-03-13USAYes176 Lbs5 ft8YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm1,000,000$939,252$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 AgentNoYes32026-09-06FalseFalsePro & Farm875,000$821,846$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$817,150$0$0$No---------------------------Lien / Lien NHL
Mathias LaferriereThunderbirds (STL)C/RW262000-06-27QUENo188 Lbs6 ft1NoNoFree AgentNoYes32026-08-01FalseFalsePro & Farm850,000$798,364$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$845,327$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$821,846$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$845,327$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$810,888$0$0$No---------------------------Lien / Lien NHL
Zach SawchenkoThunderbirds (STL)G281997-12-30CANNo187 Lbs6 ft1NoNoAssign ManuallyNoYes22026-10-05FalseFalsePro & Farm850,000$798,364$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$798,364$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.30191 Lbs6 ft02.15913,083$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack OstapchukLogan MorrisonAdam Sykora40005
2Georgii MerkulovJustin RobidasMatthew Seminoff30014
3Ty MuellerJayden GrubbeMathias Laferriere20113
4Zack OstapchukKeean WashkurakTy Mueller10113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioJoel Hanley40122
2Jacob BrysonChristian Kyrou30122
3Topi NiemelaIsaiah George20122
4Joel HanleyVincent Iorio10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack OstapchukLogan MorrisonAdam Sykora60122
2Georgii MerkulovJustin RobidasMatthew Seminoff40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioJacob Bryson60122
2Christian KyrouJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zack OstapchukAdam Sykora60122
2Justin RobidasLogan Morrison40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioIsaiah George60122
2Joel HanleyJacob Bryson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zack Ostapchuk60122Joel HanleyJacob Bryson60122
2Justin Robidas40122Isaiah GeorgeVincent Iorio40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zack OstapchukAdam Sykora60122
2Justin RobidasLogan Morrison40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent IorioJacob Bryson60122
2Joel HanleyIsaiah George40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam SykoraZack OstapchukLogan MorrisonJoel HanleyVincent Iorio
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam SykoraZack OstapchukLogan MorrisonVincent IorioJoel Hanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Ostapchuk, Logan Morrison, Justin RobidasTy Mueller, Mathias LaferriereTy Mueller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Isaiah George, Christian Kyrou, Vincent IorioVincent IorioJoel Hanley, Vincent Iorio
Tirs de pénalité
Adam Sykora, Zack Ostapchuk, Logan Morrison, Georgii Merkulov, Justin Robidas
Gardien
#1 : James Reimer, #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
Zack Ostapchuk, Adam Sykora, Logan Morrison, Georgii Merkulov, Justin Robidas, Matthew Seminoff, Ty Mueller, Jayden Grubbe, Mathias Laferriere, Keean Washkurak
Lignes de défense personnalisées en prolongation
Joel Hanley, Vincent Iorio, Jacob Bryson, Isaiah George, Topi Niemela


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 Americans11000000404000000000001100000040421.000481201121190567669660536285120.00%30100.00%014520869.71%6512552.00%6810266.67%19614894326942
2Admirals110000001101100000000000110000001101121.0001122330112119048766966013422011100.00%10100.00%014520869.71%6512552.00%6810266.67%19614894326942
3Barracuda11000000422110000004220000000000021.00047110012119022766966025822165240.00%9188.89%014520869.71%6512552.00%6810266.67%19614894326942
4Firebirds11000000541000000000001100000054121.00056110012119032766966019313198337.50%40100.00%014520869.71%6512552.00%6810266.67%19614894326942
5Ice Hogs11000000725110000007250000000000021.0007121900121190317669660101823100.00%4250.00%014520869.71%6512552.00%6810266.67%19614894326942
6Silver Knights1010000014-3000000000001010000014-300.0001230012119022766966025712169111.11%6266.67%014520869.71%6512552.00%6810266.67%19614894326942
Total651000003212202200000011474310000021813100.83332578902121190211766966097266312229827.59%27581.48%014520869.71%6512552.00%6810266.67%19614894326942
_Since Last GM Reset651000003212202200000011474310000021813100.83332578902121190211766966097266312229827.59%27581.48%014520869.71%6512552.00%6810266.67%19614894326942
_Vs Conference651000003212202200000011474310000021813100.83332578902121190211766966097266312229827.59%27581.48%014520869.71%6512552.00%6810266.67%19614894326942
_Vs Division241000001821611000000725131000001101182.0001834520112119079766966023510432150.00%5260.00%014520869.71%6512552.00%6810266.67%19614894326942

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
610W332578921197266312202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
65100003212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4310000218
Derniers 10 matchs
WLOTWOTL SOWSOL
510000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
29827.59%27581.48%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
7669660121190
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
14520869.71%6512552.00%6810266.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
19614894326942


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
311Ice Hogs2Thunderbirds7WSommaire du match
419Thunderbirds5Firebirds4WSommaire du match
528Thunderbirds1Silver Knights4LSommaire du match
952Barracuda2Thunderbirds4WSommaire du match
1168Thunderbirds11Admirals0WSommaire du match
1274Thunderbirds4 Americans0WSommaire du match
1589Silver Knights-Thunderbirds-
17110Thunderbirds-Silver Knights-
19120Thunderbirds-Ice Hogs-
20128Admirals-Thunderbirds-
23145Thunderbirds-Moose-
25159Stars-Thunderbirds-
29186 Americans-Thunderbirds-
31201Thunderbirds-Stars-
33216Thunderbirds-Wild-
35224Wild-Thunderbirds-
39254Firebirds-Thunderbirds-
41271Eagles-Thunderbirds-
44292Thunderbirds-Firebirds-
47304Wolves-Thunderbirds-
49318Thunderbirds-Ice Hogs-
52334Thunderbirds-Rocket-
54347Canucks-Thunderbirds-
56356Thunderbirds-Crunch-
58374Gulls-Thunderbirds-
61396Thunderbirds-Barracuda-
63409Firebirds-Thunderbirds-
67432Canucks-Thunderbirds-
70453Thunderbirds-Gulls-
72465Reign-Thunderbirds-
74477Thunderbirds-Monsters-
76483Thunderbirds-Checkers-
80505Islanders-Thunderbirds-
83520Thunderbirds-Bruins-
86539Marlies-Thunderbirds-
89561Bruins-Thunderbirds-
91574Thunderbirds-Eagles-
93583Thunderbirds-Phantoms-
95599Wranglers-Thunderbirds-
98614Thunderbirds-Wolves-
101629Admirals-Thunderbirds-
105657Thunderbirds-Stars-
106668Checkers-Thunderbirds-
111692Silver Knights-Thunderbirds-
114717Monsters-Thunderbirds-
117728Thunderbirds-Islanders-
120750Thunderbirds-Griffins-
121758Ice Hogs-Thunderbirds-
124781Thunderbirds-Senators-
126787Senators-Thunderbirds-
128800Thunderbirds-Comets-
131816Thunderbirds-Wild-
132825Phantoms-Thunderbirds-
135845Thunderbirds-Marlies-
137857Thunderbirds-Condors-
138862Moose-Thunderbirds-
141883Thunderbirds-Admirals-
142892Wild-Thunderbirds-
146920Griffins-Thunderbirds-
148930Thunderbirds-Silver Knights-
152950Moose-Thunderbirds-
154968Thunderbirds-Wolf Pack-
157983Roadrunners-Thunderbirds-
1611011Stars-Thunderbirds-
1641025Thunderbirds-Bears-
1661038Thunderbirds-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1671048 Americans-Thunderbirds-
1721075Penguins-Thunderbirds-
1731085Thunderbirds-Roadrunners-
1761105Comets-Thunderbirds-
1801134Condors-Thunderbirds-
1821142Thunderbirds- Americans-
1841154Thunderbirds-Firebirds-
1871172Wolf Pack-Thunderbirds-
1891187Thunderbirds-Canucks-
1911201Thunderbirds-Reign-
1931212Bears-Thunderbirds-
1961232Crunch-Thunderbirds-
1981241Thunderbirds-Wranglers-
2031265Rocket-Thunderbirds-
2091288Thunderbirds-Penguins-
2121310Barracuda-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance1,8451,885
Assistance PCT46.13%94.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 1865 - 62.17% 92,250$184,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
170,170$ 1,826,166$ 1,826,166$ 975,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,533$ 110,929$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,597,750$ 201 13,090$ 2,631,090$




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
1Justin Robidas64812947152218.18%013021.78022300000066.67%01.8400
2Zack Ostapchuk62911761913248.33%112120.26022400011061.54%01.8100
3Joel Hanley6281048941216.67%512921.6321370000100%01.5400
4Adam Sykora653852752520.00%110717.93112300002083.33%11.4900
5Matthew Seminoff6538791041729.41%09515.95112200001166.67%01.6700

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
1James Reimer65100.8762.0036002129700000

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
20266510000032122022000000114743100000218131032578902121190211766966097266312229827.59%27581.48%014520869.71%6512552.00%6810266.67%19614894326942
Total Saison régulière6510000032122022000000114743100000218131032578902121190211766966097266312229827.59%27581.48%014520869.71%6512552.00%6810266.67%19614894326942
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