Thunderbirds
GP: 30 | W: 4 | L: 25 | OTL: 1 | P: 9
GF: 95 | GA: 191 | PP%: 16.46% | PK%: 68.18%
DG: | Morale : 75 | Moyenne d’équipe : 60
Prochain matchs #472 vs Bruins
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Centre de jeu
Thunderbirds
4-25-1, 9pts
1
FINAL
6 Senators
18-8-2, 38pts
Team Stats
W1StreakW1
1-13-1Home Record8-4-1
3-12-0Away Record10-4-1
1-8-1Last 10 Games7-3-0
3.17Buts par match 3.96
6.37Buts contre par match 3.07
16.46%Pourcentage en avantage numérique26.37%
68.18%Pourcentage en désavantage numérique78.57%
Thunderbirds
4-25-1, 9pts
5
FINAL
3 Rocket
17-10-1, 35pts
Team Stats
W1StreakL2
1-13-1Home Record9-6-0
3-12-0Away Record8-4-1
1-8-1Last 10 Games7-3-0
3.17Buts par match 3.82
6.37Buts contre par match 3.29
16.46%Pourcentage en avantage numérique22.83%
68.18%Pourcentage en désavantage numérique81.82%
Bruins
24-5-1, 49pts
2025-12-09
Thunderbirds
4-25-1, 9pts
Statistiques d’équipe
OTL1SéquenceW1
12-3-1Fiche domicile1-13-1
12-2-0Fiche visiteur3-12-0
8-1-110 derniers matchs1-8-1
4.20Buts par match 3.17
2.70Buts contre par match 6.37
25.24%Pourcentage en avantage numérique16.46%
84.69%Pourcentage en désavantage numérique68.18%
Thunderbirds
4-25-1, 9pts
2025-12-11
Admirals
14-12-2, 30pts
Statistiques d’équipe
W1SéquenceL1
1-13-1Fiche domicile10-5-1
3-12-0Fiche visiteur4-7-1
1-8-110 derniers matchs7-3-0
3.17Buts par match 3.71
6.37Buts contre par match 3.54
16.46%Pourcentage en avantage numérique30.68%
68.18%Pourcentage en désavantage numérique80.85%
IceHogs
17-9-3, 37pts
2025-12-12
Thunderbirds
4-25-1, 9pts
Statistiques d’équipe
W1SéquenceW1
9-4-1Fiche domicile1-13-1
8-5-2Fiche visiteur3-12-0
8-2-010 derniers matchs1-8-1
3.97Buts par match 3.17
3.31Buts contre par match 6.37
22.68%Pourcentage en avantage numérique16.46%
77.14%Pourcentage en désavantage numérique68.18%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
95
3.17 GFG
Tirs pour
1199
39.97 Avg
Pourcentage en avantage numérique
16.5%
13 GF
Début de zone offensive
37.4%
Buts contre
191
6.37 GAA
Tirs contre
1622
54.07 Avg
Pourcentage en désavantage numérique
68.2%
21 GA
Début de la zone défensive
43.9%
Information d’équipe

Directeur général
EntraîneurAlex Burrows
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,939
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 80
Espoirs64


Historique d'équipe

Saison actuelle4-25-1 (9PTS)
Historique31-75-9 (0.270%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1Austin Poganski0X100.00683982607776855963615860626974075620293750,000$
2Cedric Pare (R)0X100.00755374598479825865595857566668075620263750,000$
3Fredrik Karlstrom (R)0XXX100.00743993608381795962566158646769075620273750,000$
4Josiah Slavin (R)0X100.00723983608173865961585763556772075620263750,000$
5Austin Wagner0X100.00674079637681715857555661596870075610283750,000$
6Luke Toporowski0X100.00603980616984825862605956586466075610241999,999$
7Joseph Gambardella0XX100.00613695587069805766595655587274075610313750,000$
8Cole Bardreau0X100.00634170567278855563575458567274075600323750,000$
9Drew Callin0X100.00754082548471815259535556527072075600303750,000$
10Blade Jenkins (R)0XXX100.00673889577664715653555458596567075590253750,000$
11Curtis Hall (R)0X100.00743891548372665257535456536567075590253750,000$
12Brandon Baddock95X100.00788057558765805251545357567072075590303750,000$
13Devante Stephens0X100.00714271578063795630555459466870075600283750,000$
14Philip Kemp (R)0X100.00694075578465835830535559476668075600262950,000$
15Casey Fitzgerald0X100.00614171587069855630575455466873075590283850,000$
16Ashton Sautner0X100.00663981567665845530545357457173075590313850,000$
17Montana Onyebuchi0X100.00756150568467815530545357456567075590252750,000$
18Bryan Yoon0X100.00633795567261665430555253456769075580273750,000$
Rayé
1Brennan Saulnier0X100.00706550576870735460555653557274075580313750,000$
2Luke Henman (R)0XXX100.00563787576575795461555652576567075580253750,000$
3Riley Bezeau0X100.00614362567273705357545552566365075570233750,000$
4Turner Ottenbreit (R)0X100.00734755548266685330515255456870075570283950,000$
MOYENNE D’ÉQUIPE100.0068447657777178565056555753687007560
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 moyen
1Nikita Tolopilo100.0077858198767577767577766573075670252999,999$
2Cal Petersen100.0075837877747375747375747285075660303850,000$
Rayé
1Adam Scheel (R)100.0074817782737274737274736675075650263850,000$
2Eetu Makiniemi (R)100.0069757177686769686769686675075620263850,000$
MOYENNE D’ÉQUIPE100.007481778473727473727473677707565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows70646866646083CAN4421,000,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Adam ScheelThunderbirds (STL)G261999-05-01Yes192 Lbs6 ft3NoNoNo3Pro & Farm850,000$575,521$850,000$575,521$0$0$No850,000$850,000$Lien / Lien NHL
Ashton SautnerThunderbirds (STL)D311994-05-27No195 Lbs6 ft1NoNoNo3Pro & Farm850,000$575,521$850,000$575,521$0$0$No850,000$850,000$Lien / Lien NHL
Austin PoganskiThunderbirds (STL)RW291996-02-16No198 Lbs6 ft1NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Austin WagnerThunderbirds (STL)LW281997-06-23No195 Lbs6 ft1NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Blade JenkinsThunderbirds (STL)C/LW/RW252000-08-11Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Brandon BaddockThunderbirds (STL)LW301995-03-29No218 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Brennan SaulnierThunderbirds (STL)LW311993-12-29No170 Lbs6 ft0NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Bryan YoonThunderbirds (STL)D271998-01-27No172 Lbs6 ft1NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Cal Petersen (contrat à 1 volet)Thunderbirds (STL)G301994-10-19No185 Lbs6 ft2NoNoNo3Pro & Farm850,000$575,521$850,000$575,521$850,000$575,521$No850,000$850,000$Lien / Lien NHL
Casey Fitzgerald (contrat à 1 volet)Thunderbirds (STL)D281997-02-25No188 Lbs5 ft11NoNoNo3Pro & Farm850,000$575,521$850,000$575,521$850,000$575,521$No850,000$850,000$Lien / Lien NHL
Cedric PareThunderbirds (STL)C261999-01-24Yes205 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Cole BardreauThunderbirds (STL)C321993-07-22No186 Lbs6 ft0NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Curtis HallThunderbirds (STL)C252000-04-26Yes197 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Devante StephensThunderbirds (STL)D281997-01-02No185 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Drew CallinThunderbirds (STL)RW301995-04-05No205 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Eetu MakiniemiThunderbirds (STL)G261999-04-19Yes184 Lbs6 ft2NoNoNo3Pro & Farm850,000$575,521$850,000$575,521$0$0$No850,000$850,000$Lien / Lien NHL
Fredrik KarlstromThunderbirds (STL)C/LW/RW271998-01-12Yes200 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Joseph GambardellaThunderbirds (STL)C/LW311993-12-01No196 Lbs5 ft10NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Josiah SlavinThunderbirds (STL)LW261998-12-31Yes189 Lbs6 ft3NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Luke HenmanThunderbirds (STL)C/LW/RW252000-04-29Yes152 Lbs6 ft0NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Luke ToporowskiThunderbirds (STL)LW242001-04-12No183 Lbs5 ft11NoNoNo1Pro & Farm999,999$677,083$999,999$677,083$0$0$NoLien / Lien NHL
Montana OnyebuchiThunderbirds (STL)D252000-03-08No201 Lbs6 ft3NoNoNo2Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$Lien / Lien NHL
Nikita TolopiloThunderbirds (STL)G252000-04-06No229 Lbs6 ft6NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$Lien / Lien NHL
Philip KempThunderbirds (STL)D261999-02-12Yes202 Lbs6 ft3NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Riley BezeauThunderbirds (STL)RW232002-05-04No187 Lbs6 ft0NoNoNo3Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$750,000$Lien / Lien NHL
Turner OttenbreitThunderbirds (STL)D281997-07-09Yes192 Lbs6 ft3NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.38192 Lbs6 ft22.81803,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1Americans1010000039-6000000000001010000039-600.00036900442724044419398380255126273133.33%3166.67%0383112134.17%470131835.66%18456232.74%521343911229367158
2Bears1010000057-2000000000001010000057-200.000581310442724050419398380239106335240.00%3233.33%0383112134.17%470131835.66%18456232.74%521343911229367158
3Bruins1010000026-4000000000001010000026-400.0002460044272403141939838023811627400.00%30100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
4Comets20200000518-131010000018-710100000410-600.00051015004427240744193983802139401456700.00%8275.00%0383112134.17%470131835.66%18456232.74%521343911229367158
5Condors1010000019-81010000019-80000000000000.00012300442724028419398380273221019100.00%5260.00%0383112134.17%470131835.66%18456232.74%521343911229367158
6Devils1010000027-5000000000001010000027-500.0002460044272402441939838024711627300.00%2150.00%0383112134.17%470131835.66%18456232.74%521343911229367158
7Firebirds1010000027-51010000027-50000000000000.0002460044272404341939838025217618100.00%30100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
8Griffins21100000111011010000045-11100000075220.50011213200442724014741939838021082210654250.00%5180.00%1383112134.17%470131835.66%18456232.74%521343911229367158
9Gulls1010000036-31010000036-30000000000000.0003690044272402941939838023814224400.00%110.00%0383112134.17%470131835.66%18456232.74%521343911229367158
10IceHogs1010000045-11010000045-10000000000000.000481200442724053419398380245174203133.33%2150.00%0383112134.17%470131835.66%18456232.74%521343911229367158
11Marlies1010000048-4000000000001010000048-400.00047110044272403741939838027120828000.00%2150.00%0383112134.17%470131835.66%18456232.74%521343911229367158
12Monsters1010000048-4000000000001010000048-400.000461000442724035419398380254142322150.00%10100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
13Penguins1010000048-4000000000001010000048-400.000481200442724031419398380254172205120.00%110.00%0383112134.17%470131835.66%18456232.74%521343911229367158
14Phantoms20200000210-81010000027-51010000003-300.00023500442724064419398380210926253100.00%10100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
15Reign1010000025-31010000025-30000000000000.00024600442724029419398380258181117400.00%30100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
16Roadrunners2010010059-42010010059-40000000000010.25051015004427240774193983802102282459111.11%110.00%0383112134.17%470131835.66%18456232.74%521343911229367158
17Rocket11000000532000000000001100000053221.0005101500442724048419398380256232312150.00%110.00%0383112134.17%470131835.66%18456232.74%521343911229367158
18Senators20200000312-91010000026-41010000016-500.0003690044272406041939838021042512416116.67%6350.00%0383112134.17%470131835.66%18456232.74%521343911229367158
19Silver Knights10100000410-610100000410-60000000000000.00046100044272405341939838028317250000.00%110.00%0383112134.17%470131835.66%18456232.74%521343911229367158
20Sound Tigers1010000018-7000000000001010000018-700.0001230044272403941939838025011230400.00%10100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
21Stars1010000048-41010000048-40000000000000.00048120044272403641939838024616634200.00%3166.67%0383112134.17%470131835.66%18456232.74%521343911229367158
22Wild11000000743110000007430000000000021.0007142100442724065419398380252106383133.33%30100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
23Wolf Pack1010000036-3000000000001010000036-300.0003690044272402041939838025922637100.00%30100.00%0383112134.17%470131835.66%18456232.74%521343911229367158
24Wranglers211000009811010000036-31100000062420.50091726004427240824193983802902413455120.00%4175.00%0383112134.17%470131835.66%18456232.74%521343911229367158
Total304250010095191-9615113001004495-5115312000005196-4590.15095180275104427240119941939838021622447146817791316.46%662168.18%1383112134.17%470131835.66%18456232.74%521343911229367158
_Since Last GM Reset304250010095191-9615113001004495-5115312000005196-4590.15095180275104427240119941939838021622447146817791316.46%662168.18%1383112134.17%470131835.66%18456232.74%521343911229367158
_Vs Conference14211001004689-4312110001003677-41211000001012-250.179468913500442724056941939838027782237636639410.26%341070.59%0383112134.17%470131835.66%18456232.74%521343911229367158
_Vs Division513001002026-6513001002026-60000000000030.3002040600044272402314193983802245711813717317.65%9366.67%0383112134.17%470131835.66%18456232.74%521343911229367158

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
309W1951802751199162244714681710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30425010095191
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1511301004495
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1531200005196
Derniers 10 matchs
WLOTWOTL SOWSOL
180100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
791316.46%662168.18%1
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
41939838024427240
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
383112134.17%470131835.66%18456232.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
521343911229367158


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
3 - 2025-10-0915Wild4Thunderbirds7BWSommaire du match
5 - 2025-10-1123Thunderbirds6Wranglers2AWSommaire du match
7 - 2025-10-1346Thunderbirds4Comets10ALSommaire du match
9 - 2025-10-1559IceHogs5Thunderbirds4BLSommaire du match
12 - 2025-10-1883Stars8Thunderbirds4BLSommaire du match
15 - 2025-10-21104Reign5Thunderbirds2BLSommaire du match
17 - 2025-10-23117Roadrunners4Thunderbirds1BLSommaire du match
19 - 2025-10-25133Thunderbirds7Griffins5AWSommaire du match
21 - 2025-10-27148Thunderbirds4Penguins8ALSommaire du match
22 - 2025-10-28158Griffins5Thunderbirds4BLSommaire du match
24 - 2025-10-30172Comets8Thunderbirds1BLSommaire du match
26 - 2025-11-01189Thunderbirds4Monsters8ALSommaire du match
28 - 2025-11-03200Condors9Thunderbirds1BLSommaire du match
30 - 2025-11-05214Thunderbirds5Bears7ALSommaire du match
31 - 2025-11-06219Thunderbirds3Americans9ALSommaire du match
33 - 2025-11-08239Firebirds7Thunderbirds2BLSommaire du match
36 - 2025-11-11260Wranglers6Thunderbirds3BLSommaire du match
39 - 2025-11-14281Phantoms7Thunderbirds2BLSommaire du match
40 - 2025-11-15292Silver Knights10Thunderbirds4BLSommaire du match
43 - 2025-11-18307Thunderbirds4Marlies8ALSommaire du match
45 - 2025-11-20323Thunderbirds0Phantoms3ALSommaire du match
47 - 2025-11-22336Thunderbirds1Sound Tigers8ALSommaire du match
49 - 2025-11-24355Thunderbirds3Wolf Pack6ALSommaire du match
51 - 2025-11-26364Thunderbirds2Devils7ALSommaire du match
53 - 2025-11-28382Senators6Thunderbirds2BLSommaire du match
54 - 2025-11-29398Roadrunners5Thunderbirds4BLXSommaire du match
56 - 2025-12-01409Gulls6Thunderbirds3BLSommaire du match
59 - 2025-12-04426Thunderbirds2Bruins6ALSommaire du match
61 - 2025-12-06445Thunderbirds1Senators6ALSommaire du match
62 - 2025-12-07457Thunderbirds5Rocket3AWSommaire du match
64 - 2025-12-09472Bruins-Thunderbirds-
66 - 2025-12-11487Thunderbirds-Admirals-
67 - 2025-12-12493IceHogs-Thunderbirds-
70 - 2025-12-15517Admirals-Thunderbirds-
72 - 2025-12-17531Moose-Thunderbirds-
73 - 2025-12-18541Wolf Pack-Thunderbirds-
75 - 2025-12-20554Thunderbirds-Checkers-
77 - 2025-12-22571Thunderbirds-Crunch-
82 - 2025-12-27595Admirals-Thunderbirds-
84 - 2025-12-29610Americans-Thunderbirds-
86 - 2025-12-31629Thunderbirds-Eagles-
88 - 2026-01-02640Silver Knights-Thunderbirds-
89 - 2026-01-03648Rocket-Thunderbirds-
93 - 2026-01-07679Thunderbirds-IceHogs-
95 - 2026-01-09696Thunderbirds-Roadrunners-
96 - 2026-01-10710Thunderbirds-Silver Knights-
99 - 2026-01-13730Wolves-Thunderbirds-
102 - 2026-01-16751Crunch-Thunderbirds-
104 - 2026-01-18769Thunderbirds-Condors-
106 - 2026-01-20785Thunderbirds-Moose-
109 - 2026-01-23804Thunderbirds-Stars-
110 - 2026-01-24816Reign-Thunderbirds-
113 - 2026-01-27836Stars-Thunderbirds-
115 - 2026-01-29852Checkers-Thunderbirds-
117 - 2026-01-31868Monsters-Thunderbirds-
119 - 2026-02-02880Thunderbirds-Admirals-
121 - 2026-02-04899Thunderbirds-Stars-
143 - 2026-02-26925Firebirds-Thunderbirds-
145 - 2026-02-28937Devils-Thunderbirds-
146 - 2026-03-01950Thunderbirds-Wild-
149 - 2026-03-04974Thunderbirds-Firebirds-
151 - 2026-03-06989Thunderbirds-Barracuda-
153 - 2026-03-081006Thunderbirds-Gulls-
155 - 2026-03-101019Sound Tigers-Thunderbirds-
157 - 2026-03-121033Thunderbirds-Wolves-
158 - 2026-03-131042Condors-Thunderbirds-
160 - 2026-03-151057Thunderbirds-Moose-
163 - 2026-03-181081Thunderbirds-Wranglers-
166 - 2026-03-211107Thunderbirds-Comets-
169 - 2026-03-241128Bears-Thunderbirds-
171 - 2026-03-261143Barracuda-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281160Marlies-Thunderbirds-
175 - 2026-03-301177Thunderbirds-Barracuda-
177 - 2026-04-011189Thunderbirds-Reign-
179 - 2026-04-031206Thunderbirds-Gulls-
181 - 2026-04-051228Thunderbirds-Eagles-
183 - 2026-04-071238Eagles-Thunderbirds-
185 - 2026-04-091253Moose-Thunderbirds-
187 - 2026-04-111266Thunderbirds-IceHogs-
189 - 2026-04-131286Wild-Thunderbirds-
190 - 2026-04-141299Penguins-Thunderbirds-
192 - 2026-04-161309Thunderbirds-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3018
Assistance29,41314,668
Assistance PCT98.04%97.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-5 2939 - 97.96% 95,535$1,433,018$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
983,402$ 1,920,000$ 1,920,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 660,503$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-477,673$ 130 15,208$ 1,977,040$




Thunderbirds Leaders statistiques (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
1Rhett Gardner82353570-294317025230411.51%37171320.901010204601144250.57%10.8202
2Filip Cederqvist82213455-1224991142677.87%31160219.54212145800051148.55%00.6902
3Josiah Slavin82153752-3120841412486.05%18139717.0449133700001245.19%00.7401
4Tate Singleton82182947-86217913617810.11%15118514.451231200002148.11%00.7900
5Spencer Smallman82202444-312470992199.13%17139617.0338113300001141.59%00.6301

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
1Zane McIntyre79254840.8994.0943334229529170220.83312
2Nikita Tolopilo51210.8605.0721300181290000.0000
3Troy Grosenick111000.9262.6740400182440000.0000

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
202482195007312238335-9741122105111129152-234172902201109183-7459238423661229764698264290682089136329294565120652455020.41%2886577.43%11445294549.07%1580328648.08%693140849.22%1774117821136281067506
2025304250010095191-9615113001004495-5115312000005196-45995180275104427240119941939838021622447146817791316.46%662168.18%1383112134.17%470131835.66%18456232.74%521343911229367158
Total Saison régulière112237507412333526-19356133405211173247-7456104102201160279-1196833360393632141919383841132512181271384914139279728823246319.44%3548675.71%21828406644.96%2050460444.53%877197044.52%2296152230248581434665

Thunderbirds Leaders statistiques (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