Please rotate your device to landscape mode for a better experience.
Connexion

Thunderbirds
GP: 25 | W: 14 | L: 11
GF: 99 | GA: 87 | PP%: 20.69% | PK%: 81.44%
DG: Jérémie Paquet | Morale : 40 | Moyenne d’équipe : 63

Centre de jeu
Thunderbirds
14-11-0, 28pts
3
4 Senators
16-11-0, 32pts
Team Stats
L1SéquenceW3
9-3-0Fiche domicile10-4-0
5-8-0Fiche domicile6-7-0
4-3-3Derniers 10 matchs8-1-1
3.96Buts par match 3.26
3.48Buts contre par match 3.19
20.69%Pourcentage en avantage numérique25.00%
81.44%Pourcentage en désavantage numérique79.07%
Senators
16-11-0, 32pts
5
4 Thunderbirds
14-11-0, 28pts
Team Stats
W3SéquenceL1
10-4-0Fiche domicile9-3-0
6-7-0Fiche domicile5-8-0
8-1-1Derniers 10 matchs4-3-3
3.26Buts par match 3.96
3.19Buts contre par match 3.48
25.00%Pourcentage en avantage numérique20.69%
79.07%Pourcentage en désavantage numérique81.44%
Meneurs d'équipe
Zack OstapchukButs
Zack Ostapchuk
11
Liam FoudyPasses
Liam Foudy
18
Klim KostinPoints
Klim Kostin
23
Logan MaillouxPlus/Moins
Logan Mailloux
16
Spencer MartinVictoires
Spencer Martin
14
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.893

Statistiques d’équipe
Buts pour
99
3.96 GFG
Tirs pour
846
33.84 Avg
Pourcentage en avantage numérique
20.7%
18 GF
Début de zone offensive
39.9%
Buts contre
87
3.48 GAA
Tirs contre
815
32.60 Avg
Pourcentage en désavantage numérique
81.4%%
18 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralJérémie Paquet
EntraîneurColin Chaulk
DivisionCentral Division
ConférenceWestern Conference
CapitaineLogan Mailloux
Assistant #1Zack Ostapchuk
Assistant #2Jordan Dumais


Informations de l’aréna

Capacité5,000
Assistance5,000
Billets de saison3,750


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 70
Espoirs47


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
1Jimmy VeseyX100.00704294678179836556616466687874040660333925,000$
2Klim KostinX100.00826772659377766462636166646865040650271925,000$
3Liam FoudyXXX100.00653789687587816571665964626567040650261925,000$
4Brett MurrayXX100.00827483629578836368606264616769040650282925,000$
5Bo GroulxX100.00734078648184776573625968636567040640262925,000$
6Kieffer BellowsXX100.007540736476878163656164606367680406402811,200,000$
7Reid SchaeferXX100.00865474609580756159626064616364040640222925,000$
8Zack Ostapchuk (A)XXX100.00784678628976886174635865606264040640232925,000$
9Jordan Dumais (R) (A)X100.00603594626471636165605957646163040610223925,000$
10Jared DavidsonX100.00633976617084805966586257616465040610242925,000$
11Tyler BoucherXX100.00694271597877725853565557546264040600232925,000$
12Zach DeanXX100.00643685597075725868565760586264040600232925,000$
13Logan Mailloux (C)X100.00744269678685876530686663546264040660232925,000$
14Samuel BolducX100.00784095639180816430626061536567040650252925,000$
15Ronnie AttardX100.00754271628583846130635567486668040630271925,000$
16Mac HollowellX100.00633972646375826230675254476769040610271925,000$
17Ty Nelson (R)X100.00553979646878736330615456476163040600223925,000$
18Noah Warren (R)X100.00824280549161705330525058456163040590223925,000$
Rayé
1Yegor Sidorov (R)X100.00623791617193706063596157626361040610223925,000$
2Blade JenkinsXX100.00673889577664715653555458596567040600262925,000$
3Aidan FulpX100.00814189539063755230555159456567040600262925,000$
4Wyatte WylieX100.00663891587267795730565455466668040600262925,000$
MOYENNE D’ÉQUIPE100.0071438262807777615260586157656604062
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
1Spencer Martin100.0078827782777678777678777084040680311925,000$
2Colten Ellis100.0077827874767577767577766573040670252925,000$
Rayé
1Vadim Zherenko100.0073837976727173727173726471040650252925,000$
MOYENNE D’ÉQUIPE100.007682787775747675747675667604067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Colin Chaulk69687167746978CAN483300,000$


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
1Klim KostinThunderbirds (STL)C25815238160414463194912.70%433713.503582065000002148.28%46400001.3600000300
2Ronnie AttardThunderbirds (STL)D2571623832068343392221.21%3956222.501671464112160120%000000.8200000020
3Zack OstapchukThunderbirds (STL)C/LW/RW251111226140473881143613.58%443417.4012319670001170062.79%4300001.0100000011
4Jimmy VeseyThunderbirds (STL)LW2591221540134290307510.00%1251920.8013419740003920148.28%2900000.8100000312
5Liam FoudyThunderbirds (STL)C/LW/RW253182130010688811433.41%743117.242462275000020051.72%55300000.9700000001
6Logan MaillouxThunderbirds (STL)D25417211622071344418379.09%3758223.280442776000169100%000100.7200000111
7Bo GroulxThunderbirds (STL)C2571320540295562203011.29%435114.0600000000032050.99%45500001.1400000210
8Kieffer BellowsThunderbirds (STL)LW/RW25109192260734695253610.53%454121.6510112000050147.50%4000110.7000000102
9Brett MurrayThunderbirds (STL)LW/RW2511819960302264184217.19%438315.3534716661016453150.00%3400000.9900000120
10Reid SchaeferThunderbirds (STL)LW/RW2598173215791742124521.43%441216.492351174000005038.24%3400000.8200010131
11Zach DeanThunderbirds (STL)C/RW2551116720164538112213.16%244517.80000000111970045.93%20900000.7200000012
12Samuel BolducThunderbirds (STL)D255101513100322338122313.16%3556222.523142376000178000%000000.5300000002
13Mac HollowellThunderbirds (STL)D2521012610035201431714.29%3054721.91134764000175000%000000.4400000001
14Ty NelsonThunderbirds (STL)D252911-1060824136915.38%1940316.160000000006000%000000.5400000000
15Jordan DumaisThunderbirds (STL)RW25538-80062440112612.50%227010.8300001000000045.00%2000000.5900000000
16Jared DavidsonThunderbirds (STL)C25077-6201232345250%331712.69000000113470049.72%36200000.4400000000
17Noah WarrenThunderbirds (STL)D25134-8340911771214.29%2542417.0000001000025000%000000.1900000000
18Tyler BoucherThunderbirds (STL)LW/RW25000000000010%020.120000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4509918027959209566158584622554011.70%235753216.741835531797132351862814649.80%224300210.7400010121213
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
1Spencer MartinThunderbirds (STL)2514650.8933.391541408781500000250012
Statistiques d’équipe totales ou en moyenne2514650.8933.39154140878150000250012


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 Plafond 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
Aidan FulpThunderbirds (STL)D262000-02-29USANo216 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Blade JenkinsThunderbirds (STL)LW/RW262000-08-11USANo195 Lbs185 CMNoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Bo GroulxThunderbirds (STL)C262000-02-06CANNo198 Lbs188 CMNoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Brett MurrayThunderbirds (STL)LW/RW281998-07-20CANNo228 Lbs196 CMNoNoN/AYesNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Colten EllisThunderbirds (STL)G252000-10-05CANNo185 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jared DavidsonThunderbirds (STL)C242002-07-07CANNo188 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jimmy VeseyThunderbirds (STL)LW331993-05-26USANo203 Lbs188 CMNoNoN/AYesNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jordan DumaisThunderbirds (STL)RW222004-04-15CANYes173 Lbs173 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Kieffer BellowsThunderbirds (STL)LW/RW281998-06-10USANo195 Lbs185 CMNoNoN/AYesNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien / Lien NHL
Klim KostinThunderbirds (STL)C271999-05-05RUSNo232 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Liam FoudyThunderbirds (STL)C/LW/RW262000-02-04CANNo186 Lbs185 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Logan MaillouxThunderbirds (STL)D232003-04-15CANNo213 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Mac HollowellThunderbirds (STL)D271998-09-26CANNo170 Lbs175 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Noah WarrenThunderbirds (STL)D222004-07-15CANYes224 Lbs193 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Reid SchaeferThunderbirds (STL)LW/RW222003-09-21CANNo226 Lbs196 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ronnie AttardThunderbirds (STL)D271999-03-20USANo208 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Samuel BolducThunderbirds (STL)D252000-12-09CANNo224 Lbs193 CMNoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Spencer MartinThunderbirds (STL)G311995-06-08CANNo191 Lbs191 CMNoNoTrade2025-08-18YesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ty NelsonThunderbirds (STL)D222004-03-30CANYes195 Lbs175 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tyler BoucherThunderbirds (STL)LW/RW232003-01-16USANo205 Lbs185 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Vadim ZherenkoThunderbirds (STL)G252001-03-15RUSNo176 Lbs188 CMNoNoTrade2025-09-02NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Wyatte WylieThunderbirds (STL)D261999-11-02USANo190 Lbs183 CMNoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Yegor SidorovThunderbirds (STL)RW222004-06-18BLRYes184 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Zach DeanThunderbirds (STL)C/RW232003-01-04CANNo176 Lbs183 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Zack OstapchukThunderbirds (STL)C/LW/RW232003-05-29CANNo212 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.28200 Lbs188 CM1.96936,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jimmy VeseyLiam FoudyReid Schaefer25122
2Brett MurrayKlim KostinKieffer Bellows25122
3Zack OstapchukBo GroulxZach Dean25122
4Kieffer BellowsJared DavidsonJordan Dumais25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxSamuel Bolduc32122
2Ronnie AttardMac Hollowell32122
3Ty NelsonNoah Warren31122
4Ronnie AttardLogan Mailloux5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jimmy VeseyLiam FoudyReid Schaefer60104
2Brett MurrayKlim KostinZack Ostapchuk40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxSamuel Bolduc60104
2Ronnie AttardMac Hollowell40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach DeanJimmy Vesey60131
2Jared DavidsonBrett Murray40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxSamuel Bolduc60131
2Ronnie AttardMac Hollowell40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Dean60140Logan MaillouxSamuel Bolduc60140
2Jared Davidson40140Ronnie AttardMac Hollowell40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyJimmy Vesey60122
2Klim KostinBrett Murray40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxSamuel Bolduc60122
2Ronnie AttardMac Hollowell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jimmy VeseyKlim KostinLiam FoudyLogan MaillouxSamuel Bolduc
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BoucherJared DavidsonKieffer BellowsLogan MaillouxSamuel Bolduc
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Ostapchuk, Kieffer Bellows, Reid SchaeferZack Ostapchuk, Kieffer BellowsZack Ostapchuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mac Hollowell, Samuel Bolduc, Ronnie AttardMac HollowellMac Hollowell, Samuel Bolduc
Tirs de pénalité
Jimmy Vesey, Liam Foudy, Brett Murray, Jared Davidson, Zack Ostapchuk
Gardien
#1 : Spencer Martin, #2 : Colten Ellis


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
1Condors6420000033249330000001697312000001715280.66733619400373325422425526228544218575818816637.50%25676.00%243089448.10%45789950.83%23045051.11%611418597187335167
2Heat6420000024213330000001385312000001113-280.66724436700373325421725526228544180454515129620.69%20480.00%043089448.10%45789950.83%23045051.11%611418597187335167
3IceHogs74300000262513210000013112422000001314-180.57126497500373325424325526228544231816017725416.00%28485.71%043089448.10%45789950.83%23045051.11%611418597187335167
4Senators624000001617-13120000078-13120000099040.33316274300373325416225526228544186525014517211.76%24483.33%043089448.10%45789950.83%23045051.11%611418597187335167
Total251411000009987121293000004936131358000005051-1280.5609918027900373325484625526228544815235213661871820.69%971881.44%243089448.10%45789950.83%23045051.11%611418597187335167
_Since Last GM Reset251411000009987121293000004936131358000005051-1280.5609918027900373325484625526228544815235213661871820.69%971881.44%243089448.10%45789950.83%23045051.11%611418597187335167
_Vs Conference1912700000837013981000004228141046000004142-1240.6328315323600373325468425526228544629183163516701622.86%731480.82%243089448.10%45789950.83%23045051.11%611418597187335167
_Vs Division74300000262513210000013112422000001314-180.57126497500373325424325526228544231816017725416.00%28485.71%043089448.10%45789950.83%23045051.11%611418597187335167

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2528L19918027984681523521366100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25141100009987
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
129300004936
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
135800005051
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
871820.69%971881.44%2
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
255262285443733254
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
43089448.10%45789950.83%23045051.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
611418597187335167


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
2 - 2026-04-218Thunderbirds6Condors2WSommaire du match
4 - 2026-04-2316Thunderbirds5Condors6LXSommaire du match
6 - 2026-04-2524Condors2Thunderbirds6WSommaire du match
8 - 2026-04-2732Condors3Thunderbirds4WXSommaire du match
10 - 2026-04-2940Thunderbirds6Condors7LXSommaire du match
12 - 2026-05-0148Condors4Thunderbirds6WSommaire du match
15 - 2026-05-0460Thunderbirds2IceHogs4LSommaire du match
16 - 2026-05-0564Thunderbirds3IceHogs2WXSommaire du match
17 - 2026-05-0668IceHogs4Thunderbirds6WSommaire du match
19 - 2026-05-0872IceHogs1Thunderbirds2WSommaire du match
20 - 2026-05-0976Thunderbirds2IceHogs5LSommaire du match
21 - 2026-05-1080IceHogs6Thunderbirds5LSommaire du match
22 - 2026-05-1184Thunderbirds6IceHogs3WSommaire du match
23 - 2026-05-1286Heat2Thunderbirds3WXSommaire du match
24 - 2026-05-1388Heat3Thunderbirds5WSommaire du match
25 - 2026-05-1490Thunderbirds3Heat4LXSommaire du match
26 - 2026-05-1592Thunderbirds4Heat6LSommaire du match
27 - 2026-05-1694Heat3Thunderbirds5WSommaire du match
29 - 2026-05-1896Thunderbirds4Heat3WSommaire du match
31 - 2026-05-2099Thunderbirds4Senators2WSommaire du match
32 - 2026-05-21100Thunderbirds2Senators3LSommaire du match
33 - 2026-05-22101Senators1Thunderbirds2WXSommaire du match
34 - 2026-05-23102Senators2Thunderbirds1LXSommaire du match
35 - 2026-05-24103Thunderbirds3Senators4LXSommaire du match
36 - 2026-05-25104Senators5Thunderbirds4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance36,00024,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 5000 - 100.00% 153,300$1,839,600$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,340,000$ 2,340,000$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Thunderbirds Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Thunderbirds Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Thunderbirds Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Thunderbirds Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Thunderbirds Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA