Thunderbirds
GP: 82 | W: 22 | L: 54 | OTL: 6 | P: 50
GF: 268 | GA: 424 | PP%: 17.92% | PK%: 76.52%
DG: Patrick Labonte | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Penguins
54-24-4, 112pts
5
FINAL
2 Thunderbirds
22-54-6, 50pts
Team Stats
W6StreakL2
29-11-1Home Record11-27-3
25-13-3Away Record11-27-3
8-2-0Last 10 Games6-4-0
4.17Buts par match 3.27
3.02Buts contre par match 5.17
22.75%Pourcentage en avantage numérique17.92%
79.30%Pourcentage en désavantage numérique76.52%
Thunderbirds
22-54-6, 50pts
2
FINAL
3 Roadrunners
49-26-7, 105pts
Team Stats
L2StreakW2
11-27-3Home Record31-9-1
11-27-3Away Record18-17-6
6-4-0Last 10 Games7-3-0
3.27Buts par match 3.94
5.17Buts contre par match 3.01
17.92%Pourcentage en avantage numérique20.73%
76.52%Pourcentage en désavantage numérique78.63%
Meneurs d'équipe
Austin WagnerButs
Austin Wagner
11
Austin PoganskiPasses
Austin Poganski
16
Austin PoganskiPoints
Austin Poganski
27
Austin WagnerPlus/Moins
Austin Wagner
0
Nikita TolopiloVictoires
Nikita Tolopilo
15
Cal PetersenPourcentage d’arrêts
Cal Petersen
0.96

Statistiques d’équipe
Buts pour
268
3.27 GFG
Tirs pour
3058
37.29 Avg
Pourcentage en avantage numérique
17.9%
38 GF
Début de zone offensive
37.1%
Buts contre
424
5.17 GAA
Tirs contre
4029
49.13 Avg
Pourcentage en désavantage numérique
76.5%
58 GA
Début de la zone défensive
44.5%
Information d’équipe

Directeur généralPatrick Labonte
EntraîneurJeff Daniels
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,935
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 80
Espoirs65


Historique d'équipe

Saison actuelle22-54-6 (50PTS)
Historique49-104-14 (0.293%)
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
1Pavol Regenda0X100.00784272598886845661585762566668075620251999,999$
2Cedric Pare (R)0X100.00755374598479825865595857566668075620263750,000$
3Fredrik Karlstrom (R)0XXX100.00743993608381795962566158646769075620273750,000$
4Josiah Slavin (R)0X100.00723983608173865961585763556772075620263750,000$
5Luke Toporowski0X100.00603980616984825862605956586466075610241999,999$
6Joseph Gambardella0XX100.00613695587069805766595655587274075610313750,000$
7Cole Bardreau0X100.00634170567278855563575458567274075600323750,000$
8Drew Callin0X100.00754082548471815259535556527072075600303750,000$
9Blade Jenkins (R)0XXX100.00673889577664715653555458596567075590253750,000$
10Curtis Hall (R)0X100.00743891548372665257535456536567075590253750,000$
11Brandon Baddock95X100.00788057558765805251545357567072075590303750,000$
12Brennan Saulnier0X100.00706550576870735460555653557274075580313750,000$
13Luke Henman (R)0XXX100.00563787576575795461555652576567075580253750,000$
14Riley Bezeau0X100.00614362567273705357545552566365075570233750,000$
15Devante Stephens0X100.00714271578063795630555459466870075600283750,000$
16Philip Kemp (R)0X100.00694075578465835830535559476668075600262950,000$
17Casey Fitzgerald0X100.00614171587069855630575455466873075590283850,000$
18Ashton Sautner0X100.00663981567665845530545357457173075590313850,000$
19Montana Onyebuchi0X100.00756150568467815530545357456567075590252750,000$
20Turner Ottenbreit (R)0X100.00734755548266685330515255456870075570283950,000$
Rayé
MOYENNE D’ÉQUIPE100.0069457457787279555156555753687007560
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$
3Eetu Makiniemi (R)100.0069757177686769686769686675075620263850,000$
Rayé
1Adam Scheel (R)100.0074817782737274737274736675075650263850,000$
MOYENNE D’ÉQUIPE100.007481778473727473727473677707565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels62757568857962CAN5731,100,000$


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
1Fredrik KarlstromThunderbirds (STL)C/LW/RW311519340140381191233211112.20%1374924.19257206701111274152.62%112700000.9103000401
2Austin PoganskiBluesRW30111627080225811533759.57%1255918.641341771000030056.90%5800000.9723000103
3Pavol RegendaThunderbirds (STL)LW30101525-33751035095277810.53%2263421.1501171210191151041.18%5100000.7903100121
4Ashton SautnerThunderbirds (STL)D31122231230053283917262.56%3166321.400552168011187000.00%000000.6900000010
5Austin WagnerBluesLW241110210100314778174814.10%240016.672241952000042252.27%4400001.0501000111
6Devante StephensThunderbirds (STL)D3121719-720064344019315.00%5774023.900552171000089000.00%000000.5100000000
7Josiah SlavinThunderbirds (STL)LW3111819-11205449108317610.19%1050116.1623521741015602060.00%4000000.7612000023
8Casey FitzgeraldThunderbirds (STL)D315121714140674246132710.87%3467621.842132668011094100.00%000000.5000000101
9Joseph GambardellaThunderbirds (STL)C/LW3121517-34012756425453.13%848315.59011260002290053.58%51700100.7000000000
10Luke ToporowskiThunderbirds (STL)LW318816520161868143911.76%33089.9400000000000158.33%2400001.0412000200
11Montana OnyebuchiThunderbirds (STL)D3131316-83401093229142510.34%3857418.54101350110470039.49%15700000.5600000112
12Philip KempThunderbirds (STL)D315712-9100574647183510.64%4670822.873032471000094000.00%000000.3400000110
13Cole BardreauThunderbirds (STL)C31561146033384492211.36%53029.7600000000001051.40%35800000.7300000100
14Brandon BaddockThunderbirds (STL)LW31268-123157022446214.55%2945214.59011750000001053.85%1300000.3500100000
15Cedric PareThunderbirds (STL)C123470281020262571912.00%220216.833255240001282046.47%26900000.6900011100
16Drew CallinThunderbirds (STL)RW31426022036164513358.89%334111.0100022000001059.09%2200000.3500000000
17Blade JenkinsThunderbirds (STL)C/LW/RW3132552015204013327.50%42949.5100000000000043.48%2300000.3400000010
18Curtis HallThunderbirds (STL)C6022-200576470.00%16811.3900000000000047.44%7800000.5900000000
Statistiques d’équipe totales ou en moyenne505101184285-52842080572710563127529.56%320866217.151629451956462461978315451.17%278100100.6641421114912
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
1Nikita TolopiloThunderbirds (STL)31151320.9043.5517242110210650120.61513310231
2Cal PetersenThunderbirds (STL)51000.9601.581520041000000.0000028000
Statistiques d’équipe totales ou en moyenne36161320.9093.3918762110611650120.615133128231


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$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Ashton SautnerThunderbirds (STL)D311994-05-27No195 Lbs6 ft1NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Blade JenkinsThunderbirds (STL)C/LW/RW252000-08-11Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brandon BaddockThunderbirds (STL)LW301995-03-29No218 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brennan SaulnierThunderbirds (STL)LW311993-12-29No170 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Cal Petersen (contrat à 1 volet)Thunderbirds (STL)G301994-10-19No185 Lbs6 ft2NoNoNo3Pro & Farm850,000$850,000$850,000$0$No850,000$850,000$Lien / Lien NHL
Casey Fitzgerald (contrat à 1 volet)Thunderbirds (STL)D281997-02-25No188 Lbs5 ft11NoNoNo3Pro & Farm850,000$850,000$850,000$0$No850,000$850,000$Lien / Lien NHL
Cedric PareThunderbirds (STL)C261999-01-24Yes205 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Cole BardreauThunderbirds (STL)C321993-07-22No186 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Curtis HallThunderbirds (STL)C252000-04-26Yes197 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Devante StephensThunderbirds (STL)D281997-01-02No185 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Drew CallinThunderbirds (STL)RW301995-04-05No205 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Eetu MakiniemiThunderbirds (STL)G261999-04-19Yes184 Lbs6 ft2NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Fredrik KarlstromThunderbirds (STL)C/LW/RW271998-01-12Yes200 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Joseph GambardellaThunderbirds (STL)C/LW311993-12-01No196 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Josiah SlavinThunderbirds (STL)LW261998-12-31Yes189 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Luke HenmanThunderbirds (STL)C/LW/RW252000-04-29Yes152 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Luke ToporowskiThunderbirds (STL)LW242001-04-12No183 Lbs5 ft11NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Montana OnyebuchiThunderbirds (STL)D252000-03-08No201 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nikita TolopiloThunderbirds (STL)G252000-04-06No229 Lbs6 ft6NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Pavol RegendaThunderbirds (STL)LW251999-12-07No211 Lbs6 ft4NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Philip KempThunderbirds (STL)D261999-02-12Yes202 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Riley BezeauThunderbirds (STL)RW232002-05-04No187 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Turner OttenbreitThunderbirds (STL)D281997-07-09Yes192 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.21194 Lbs6 ft22.71818,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaFredrik KarlstromLuke Henman40122
2Josiah SlavinCedric Pare30122
3Joseph GambardellaCurtis HallDrew Callin20122
4Luke ToporowskiCole BardreauBlade Jenkins10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devante StephensPhilip Kemp40122
2Casey FitzgeraldAshton Sautner30122
3Montana OnyebuchiTurner Ottenbreit20122
4Devante StephensPhilip Kemp10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaLuke HenmanFredrik Karlstrom60122
2Josiah SlavinCedric Pare40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devante StephensPhilip Kemp60122
2Casey FitzgeraldAshton Sautner40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fredrik KarlstromPavol Regenda60122
2Cedric PareJosiah Slavin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devante StephensPhilip Kemp60122
2Casey FitzgeraldAshton Sautner40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Fredrik Karlstrom60122Devante StephensPhilip Kemp60122
2Cedric Pare40122Casey FitzgeraldAshton Sautner40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fredrik KarlstromPavol Regenda60122
2Cedric PareJosiah Slavin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devante StephensPhilip Kemp60122
2Casey FitzgeraldAshton Sautner40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blade JenkinsFredrik KarlstromDevante StephensPhilip Kemp
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavol RegendaCedric PareBrandon BaddockMontana OnyebuchiPhilip Kemp
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cedric Pare, Joseph Gambardella, Curtis HallCedric Pare, Joseph GambardellaCedric Pare
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ashton Sautner, Montana Onyebuchi, Turner OttenbreitAshton SautnerAshton Sautner, Montana Onyebuchi
Tirs de pénalité
Fredrik Karlstrom, , Pavol Regenda, Josiah Slavin, Cedric Pare
Gardien
#1 : Nikita Tolopilo, #2 : Cal Petersen
Lignes d’attaque personnalisées en prolongation
Fredrik Karlstrom, , Pavol Regenda, Josiah Slavin, Cedric Pare, Joseph Gambardella, Joseph Gambardella, Curtis Hall, Luke Toporowski, Drew Callin, Cole Bardreau
Lignes de défense personnalisées en prolongation
Devante Stephens, Philip Kemp, Casey Fitzgerald, Ashton Sautner, Montana Onyebuchi


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
1Admirals40400000918-920200000610-42020000038-500.00091827101067881799101410031013462045628861119.09%14471.43%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
2Americans20200000515-101010000026-41010000039-600.0005914001067881787101410031013461082812546116.67%6183.33%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
3Barracuda31200000711-41100000010120200000611-520.3337121901106788171211014100310134611833219510110.00%8187.50%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
4Bears20200000813-51010000036-31010000057-200.0008142210106788179910141003101346742612596233.33%5420.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
5Bruins20200000413-91010000027-51010000026-400.00048120010678817641014100310134685254049700.00%8275.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
6Checkers2110000011110110000006511010000056-120.5001120310010678817117101410031013461032714533133.33%60100.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
7Comets30200001620-141010000018-720100001512-710.167612180010678817122101410031013461734514811300.00%8275.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
8Condors312000001018-821100000611-51010000047-320.333101828001067881798101410031013461804530628225.00%15566.67%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
9Crunch20100100713-61010000049-51000010034-110.25071421001067881767101410031013461303110372150.00%5260.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
10Devils2110000059-4110000003211010000027-520.5005050010678817621014100310134679181259600.00%5180.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
11Eagles3210000089-1110000003212110000057-240.667815230010678817961014100310134610636106913430.77%5180.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
12Firebirds311010001114-321100000610-41000100054140.667112031001067881710810141003101346129362873400.00%13284.62%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
13Griffins21100000111011010000045-11100000075220.5001121320010678817147101410031013461082210654250.00%5180.00%11190297939.95%1465357440.99%595147740.28%1587105423326271029466
14Gulls312000001216-41010000036-321100000910-120.333122234001067881792101410031013461172912716116.67%6266.67%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
15IceHogs412000011317-420200000610-42100000177030.37513233600106788171551014100310134619073279213430.77%10190.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
16Marlies20100001712-51000000134-11010000048-410.2507121900106788176910141003101346127372257100.00%9366.67%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
17Monsters21100000810-2110000004221010000048-420.5008142200106788176710141003101346912513587457.14%40100.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
18Moose41300000615-92110000056-12020000019-820.25061016001067881712610141003101346191664798600.00%21385.71%11190297939.95%1465357440.99%595147740.28%1587105423326271029466
19Penguins20200000613-71010000025-31010000048-400.0006121800106788175410141003101346952731445120.00%7357.14%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
20Phantoms20200000210-81010000027-51010000003-300.0002350010678817641014100310134610926253100.00%10100.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
21Reign30300000512-72020000038-51010000024-200.00051015001067881785101410031013461265435791119.09%15566.67%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
22Roadrunners403001001017-72010010059-42020000058-310.1251019290010678817141101410031013461985988616212.50%4175.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
23Rocket211000001112-11010000069-31100000053220.500112132001067881710810141003101346143586665360.00%3166.67%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
24Senators20200000312-91010000026-41010000016-500.000369001067881760101410031013461042512416116.67%6350.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
25Silver Knights321000002122-1211000001316-31100000086240.6672139600010678817189101410031013462066313115200.00%3233.33%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
26Sound Tigers20200000414-101010000036-31010000018-700.000481200106788176410141003101346862710516116.67%5260.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
27Stars40400000924-1520200000612-620200000312-900.0009172610106788171191014100310134617650361131218.33%16381.25%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
28Wild32001000171252100100011741100000065161.0001733500010678817131101410031013461152728836116.67%13192.31%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
29Wolf Pack20200000713-61010000047-31010000036-300.00071320001067881753101410031013461163814665240.00%70100.00%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
30Wolves200001109901000010056-11000001043130.7509162500106788177310141003101346102281569300.00%50100.00%11190297939.95%1465357440.99%595147740.28%1587105423326271029466
31Wranglers32100000161061010000036-322000000134940.6671629450010678817121101410031013461403023658112.50%9277.78%01190297939.95%1465357440.99%595147740.28%1587105423326271029466
Total82195402313268424-15641102701201133213-804192701112135211-76500.30526849876631106788173058101410031013464029117059521492123817.92%2475876.52%31190297939.95%1465357440.99%595147740.28%1587105423326271029466
_Since Last GM Reset82195402313268424-15641102701201133213-804192701112135211-76500.30526849876631106788173058101410031013464029117059521492123817.92%2475876.52%31190297939.95%1465357440.99%595147740.28%1587105423326271029466
_Vs Conference50143102102160235-75257160110078121-43257150100282114-32350.3501602974572110678817180310141003101346236970236012681391913.67%1603578.13%11190297939.95%1465357440.99%595147740.28%1587105423326271029466
_Vs Division266170110172112-401338011004256-141339000013056-26160.308721352072010678817867101410031013461180367184627771316.88%831483.13%11190297939.95%1465357440.99%595147740.28%1587105423326271029466

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8250L2268498766305840291170595214931
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8219542313268424
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110271201133213
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419271112135211
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2123817.92%2475876.52%3
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
1014100310134610678817
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
1190297939.95%1465357440.99%595147740.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1587105423326271029466


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 - 2025-12-09472Bruins7Thunderbirds2BLSommaire du match
66 - 2025-12-11487Thunderbirds1Admirals4ALSommaire du match
67 - 2025-12-12493IceHogs5Thunderbirds2BLSommaire du match
70 - 2025-12-15517Admirals3Thunderbirds0BLSommaire du match
72 - 2025-12-17531Moose4Thunderbirds1BLSommaire du match
73 - 2025-12-18541Wolf Pack7Thunderbirds4BLSommaire du match
75 - 2025-12-20554Thunderbirds5Checkers6ALSommaire du match
77 - 2025-12-22571Thunderbirds3Crunch4ALXSommaire du match
82 - 2025-12-27595Admirals7Thunderbirds6BLSommaire du match
84 - 2025-12-29610Americans6Thunderbirds2BLSommaire du match
86 - 2025-12-31629Thunderbirds2Eagles5ALSommaire du match
88 - 2026-01-02640Silver Knights6Thunderbirds9BWSommaire du match
89 - 2026-01-03648Rocket9Thunderbirds6BLSommaire du match
93 - 2026-01-07679Thunderbirds3IceHogs4ALXXSommaire du match
95 - 2026-01-09696Thunderbirds3Roadrunners5ALSommaire du match
96 - 2026-01-10710Thunderbirds8Silver Knights6AWSommaire du match
99 - 2026-01-13730Wolves6Thunderbirds5BLXSommaire du match
102 - 2026-01-16751Crunch9Thunderbirds4BLSommaire du match
104 - 2026-01-18769Thunderbirds4Condors7ALSommaire du match
106 - 2026-01-20785Thunderbirds1Moose6ALSommaire du match
109 - 2026-01-23804Thunderbirds0Stars7ALSommaire du match
110 - 2026-01-24816Reign3Thunderbirds1BLSommaire du match
113 - 2026-01-27836Stars4Thunderbirds2BLSommaire du match
115 - 2026-01-29852Checkers5Thunderbirds6BWSommaire du match
117 - 2026-01-31868Monsters2Thunderbirds4BWSommaire du match
119 - 2026-02-02880Thunderbirds2Admirals4ALSommaire du match
121 - 2026-02-04899Thunderbirds3Stars5ALSommaire du match
143 - 2026-02-26925Firebirds3Thunderbirds4BWSommaire du match
145 - 2026-02-28937Devils2Thunderbirds3BWSommaire du match
146 - 2026-03-01950Thunderbirds6Wild5AWSommaire du match
149 - 2026-03-04974Thunderbirds5Firebirds4AWXSommaire du match
151 - 2026-03-06989Thunderbirds3Barracuda6ALSommaire du match
153 - 2026-03-081006Thunderbirds3Gulls6ALSommaire du match
155 - 2026-03-101019Sound Tigers6Thunderbirds3BLSommaire du match
157 - 2026-03-121033Thunderbirds4Wolves3AWXXSommaire du match
158 - 2026-03-131042Condors2Thunderbirds5BWSommaire du match
160 - 2026-03-151057Thunderbirds0Moose3ALSommaire du match
163 - 2026-03-181081Thunderbirds7Wranglers2AWSommaire du match
166 - 2026-03-211107Thunderbirds1Comets2ALXXSommaire du match
169 - 2026-03-241128Bears6Thunderbirds3BLSommaire du match
171 - 2026-03-261143Barracuda0Thunderbirds1BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281160Marlies4Thunderbirds3BLXXSommaire du match
175 - 2026-03-301177Thunderbirds3Barracuda5ALSommaire du match
177 - 2026-04-011189Thunderbirds2Reign4ALSommaire du match
179 - 2026-04-031206Thunderbirds6Gulls4AWSommaire du match
181 - 2026-04-051228Thunderbirds3Eagles2AWSommaire du match
183 - 2026-04-071238Eagles2Thunderbirds3BWSommaire du match
185 - 2026-04-091253Moose2Thunderbirds4BWSommaire du match
187 - 2026-04-111266Thunderbirds4IceHogs3AWSommaire du match
189 - 2026-04-131286Wild3Thunderbirds4BWXSommaire du match
190 - 2026-04-141299Penguins5Thunderbirds2BLSommaire du match
192 - 2026-04-161309Thunderbirds2Roadrunners3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3018
Assistance80,02240,316
Assistance PCT97.59%98.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2935 - 97.84% 95,315$3,907,935$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,010,296$ 1,795,000$ 1,795,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,007,204$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,954,780$ 0 15,078$ 0$




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
1Josiah Slavin113264571-32321381903567.30%28189816.80612185810153249.31%00.7513
2Rhett Gardner82353570-294317025230411.51%37171320.901010204601144250.57%10.8202
3Filip Cederqvist82213455-1224991142677.87%31160219.54212145800051148.55%00.6902
4Devante Stephens109124355-37922701111259.60%160249722.9231417531012000.00%00.4400
5Luke Toporowski113252550-11104312619812.63%15124210.99101300006349.08%00.8113

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 Tolopilo36161530.8993.7219372112011940120.61513
3Cal Petersen51000.9601.581520041000000.0000
4Troy 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
202582195402313268424-15641102701201133213-804192701112135211-765026849876631106788173058101410031013464029117059521492123817.92%2475876.52%31190297939.95%1465357440.99%595147740.28%1587105423326271029466
Total Saison régulière1643810409625506759-25382224806312262365-10382165603313244394-1501095069211427532031421501557001920182319048273212115124642144578819.26%53512377.01%42635592444.48%3045686044.39%1288288544.64%33622233444512562096973

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