Connexion

Seattle Thunderbirds
GP: 10 | W: 6 | L: 2 | OTL: 2 | P: 14
GF: 52 | GA: 43 | PP%: 38.24% | PK%: 51.61%
DG: Jonathan | Morale : 51 | Moyenne d’équipe : 57
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Centre de jeu
Hamilton Bulldogs
4-6-0, 8pts
3
FINAL
2 Seattle Thunderbirds
6-2-2, 14pts
Team Stats
L1StreakW1
1-4-0Home Record3-1-1
3-2-0Away Record3-1-1
4-6-0Last 10 Games6-2-2
4.60Buts par match 5.20
5.00Buts contre par match 4.30
37.14%Pourcentage en avantage numérique38.24%
58.33%Pourcentage en désavantage numérique51.61%
Seattle Thunderbirds
6-2-2, 14pts
7
FINAL
5 Texas Stars
7-2-1, 15pts
Team Stats
W1StreakL2
3-1-1Home Record3-2-0
3-1-1Away Record4-0-1
6-2-2Last 10 Games7-2-1
5.20Buts par match 5.50
4.30Buts contre par match 3.80
38.24%Pourcentage en avantage numérique48.28%
51.61%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
Sam Carrick
6
Passes
Matt Tennyson
13
Points
Matt Tennyson
15
Plus/Moins
Matt Tennyson
8
Victoires
Zane McIntyre
6
Pourcentage d’arrêts
Zane McIntyre
0.873

Statistiques d’équipe
Buts pour
52
5.20 GFG
Tirs pour
471
47.10 Avg
Pourcentage en avantage numérique
38.2%
13 GF
Début de zone offensive
37.3%
Buts contre
43
4.30 GAA
Tirs contre
339
33.90 Avg
Pourcentage en désavantage numérique
51.6%
15 GA
Début de la zone défensive
32.1%
Information d’équipe

Directeur généralJonathan
EntraîneurMichel Therrien
DivisionMario Lemieux
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 55
Espoirs15


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
1T.J. TynanXX100.006658866258666669807361625845456552600291750,000$
2Alex Limoges (R)X100.007974895874565466806069676644446752600231700,000$
3Logan BrownX100.008485806285575661766354695146466153590231875,000$
4Paul ThompsonXXX100.006974566674626362505961615845456156580321750,000$
5Cole MaierXX100.007371766871666958734962625944446152580261700,000$
6Brett SutterXX100.007673836373697452655147654554545652570341750,000$
7Pavel Dorofeyev (R)XX100.007163896663606158504765616244446252560202925,000$
8Ryan SchmelzerX100.007570876870575856705751634844445852560271700,000$
9Graeme Clarke (R)X100.007164886064545362505762625944446252560203850,833$
10Kody ClarkX100.007571846071535357504565636244446140550212808,333$
11Alex Whelan (R)X100.008176936476494854504558655544446040550231700,000$
12Jacob MacDonaldX100.007744916773656960255848667555555849610281725,000$
13Yannick WeberXX100.006941857772614855244245637570715753600321770,000$
14Sami NikuX100.006941767566664858246045632549494852590241725,000$
15Logan StanleyX100.007845806287616658254748632547475652590231900,000$
16Vincent DesharnaisX100.008387735687606349254439653744445252570251750,000$
17Dmitry Osipov (R)X100.007784596584545648253842624044445152560241700,000$
18Vincent LoVerdeX100.007573806273606545253440603844445152550321700,000$
19Vladislav Kolyachonok (R)X100.007971996571545647253939623744445240550203789,167$
20Rob O'GaraX100.007680666380525446253640613844445040540271700,000$
Rayé
1Stefan NoesenXX100.007775837475575762505957695459606335610281750,000$
MOYENNE D’ÉQUIPE100.00756881657459595646515264514848584957
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
1Zane McIntyre100.00616176796264596663623044446253610281850,000$
2Alex Lyon100.00515873754851515650503046465250540281750,000$
Rayé
1Spencer Knight (R)100.00425265784043404640403044444340470202925,000$
MOYENNE D’ÉQUIPE100.0051577177505350565151304545524854
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien66687169868061CAN57260,000$


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
1Jacob MacDonaldSeattle Thunderbirds (PIT)D1031316-4151520277429394.05%1428028.041341225000220100.00%0258001.1400120102
2Matt TennysonPenguinsD102131580014137237362.78%1925525.571231220101814000.00%0811001.1700000111
3Sam CarrickPenguinsC/RW1069154115291256103510.71%615115.1221336000001056.25%17684001.9800001101
4Yannick WeberSeattle Thunderbirds (PIT)RW/D102121412019135220213.85%2624824.83224626000119000.00%099001.1300000030
5Paul ThompsonSeattle Thunderbirds (PIT)C/LW/RW103111442351245019386.00%214914.9303328000000073.33%15111001.8800100010
6Stefan NoesenSeattle Thunderbirds (PIT)LW/RW2224-200541131118.18%33718.5322435000000050.00%220002.1600000100
7Logan BrownSeattle Thunderbirds (PIT)C10000-12021146110.00%0494.9300000000000078.57%4230000.0000000000
Statistiques d’équipe totales ou en moyenne62186078105325101743291241915.47%70117118.8981321389310111542061.28%2356633001.3300221454
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
1Zane McIntyreSeattle Thunderbirds (PIT)106220.8734.296010043339179100.0000100000
Statistiques d’équipe totales ou en moyenne106220.8734.296010043339179100.0000100000


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 Plafond 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
Alex LimogesSeattle Thunderbirds (PIT)C231997-09-16Yes201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Alex LyonSeattle Thunderbirds (PIT)G281992-12-08No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien
Alex WhelanSeattle Thunderbirds (PIT)RW231997-07-20Yes212 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Brett SutterSeattle Thunderbirds (PIT)C/LW341987-06-01No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien
Cole MaierSeattle Thunderbirds (PIT)C/LW261995-06-24No194 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Dmitry OsipovSeattle Thunderbirds (PIT)D241996-10-04Yes229 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Graeme ClarkeSeattle Thunderbirds (PIT)RW202001-04-24Yes174 Lbs6 ft0NoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$
Jacob MacDonaldSeattle Thunderbirds (PIT)D281993-02-26No204 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien
Kody ClarkSeattle Thunderbirds (PIT)RW211999-10-13No185 Lbs6 ft3NoNoNo2Pro & Farm808,333$0$0$No808,333$Lien
Logan BrownSeattle Thunderbirds (PIT)C231998-03-04No220 Lbs6 ft6NoNoNo1Pro & Farm875,000$0$0$NoLien
Logan StanleySeattle Thunderbirds (PIT)D231998-05-25No228 Lbs6 ft7NoNoNo1Pro & Farm900,000$0$0$NoLien
Paul ThompsonSeattle Thunderbirds (PIT)C/LW/RW321988-11-30No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien
Pavel DorofeyevSeattle Thunderbirds (PIT)LW/RW202000-10-26Yes167 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
Rob O'GaraSeattle Thunderbirds (PIT)D271993-07-06No214 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan SchmelzerSeattle Thunderbirds (PIT)C271993-07-28No187 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Sami NikuSeattle Thunderbirds (PIT)D241996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien
Spencer KnightSeattle Thunderbirds (PIT)G202001-04-18Yes192 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
Stefan NoesenSeattle Thunderbirds (PIT)LW/RW281993-02-12No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien
T.J. TynanSeattle Thunderbirds (PIT)C/RW291992-02-25No165 Lbs5 ft8NoNoNo1Pro & Farm750,000$0$0$NoLien
Vincent DesharnaisSeattle Thunderbirds (PIT)D251996-05-29No227 Lbs6 ft7NoNoNo1Pro & Farm750,000$0$0$NoLien
Vincent LoVerdeSeattle Thunderbirds (PIT)D321989-04-14No207 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Vladislav KolyachonokSeattle Thunderbirds (PIT)D202001-05-26Yes194 Lbs6 ft1NoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Yannick WeberSeattle Thunderbirds (PIT)RW/D321988-09-23No200 Lbs5 ft11YesNoNo1Pro & Farm770,000$0$0$NoLien
Zane McIntyreSeattle Thunderbirds (PIT)G281992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.71200 Lbs6 ft21.29772,639$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul ThompsonT.J. Tynan40122
2Cole MaierAlex LimogesPavel Dorofeyev30122
3Brett SutterLogan BrownGraeme Clarke20122
4Ryan SchmelzerAlex Limoges10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Yannick WeberLogan Stanley30122
3Sami NikuVincent Desharnais20122
4Dmitry OsipovVincent LoVerde10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Paul ThompsonT.J. Tynan60122
2Cole MaierAlex LimogesPavel Dorofeyev40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yannick WeberLogan Stanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2T.J. TynanLogan Brown40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yannick WeberLogan Stanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Alex Limoges40122Yannick WeberLogan Stanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2T.J. TynanLogan Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Yannick WeberLogan Stanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul ThompsonT.J. Tynan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul ThompsonT.J. Tynan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Sutter, Ryan Schmelzer, Graeme ClarkeBrett Sutter, Ryan SchmelzerGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sami Niku, Vincent Desharnais, Dmitry OsipovSami NikuVincent Desharnais, Dmitry Osipov
Tirs de pénalité
, Alex Limoges, T.J. Tynan, Yannick Weber, Logan Brown
Gardien
#1 : Zane McIntyre, #2 : Alex Lyon


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
1Hamilton Bulldogs2000020057-21000010023-11000010034-120.500510150019211208915017514515522843100.00%4250.00%09825139.04%9321643.06%9520646.12%2331511979016979
2Laval Rockets220000001174110000005411100000063341.000112233001921120931501751451742710387571.43%5260.00%09825139.04%9321643.06%9520646.12%2331511979016979
3Peoria Riverman21100000871110000007431010000013-220.500816240019211208515017514516818125110440.00%6266.67%19825139.04%9321643.06%9520646.12%2331511979016979
4Portland Pirates22000000191271100000095411000000107341.0001936550019211201021501751451743436344250.00%7528.57%09825139.04%9321643.06%9520646.12%2331511979016979
5Texas Stars21100000910-11010000025-31100000075220.5009142300192112010215017514516819384512216.67%9455.56%09825139.04%9321643.06%9520646.12%2331511979016979
Total1062002005243953100100252145310010027225140.70052981500019211204711501751451339120104211341338.24%311551.61%19825139.04%9321643.06%9520646.12%2331511979016979
_Since Last GM Reset1062002005243953100100252145310010027225140.70052981500019211204711501751451339120104211341338.24%311551.61%19825139.04%9321643.06%9520646.12%2331511979016979
_Vs Conference1062002005243953100100252145310010027225140.70052981500019211204711501751451339120104211341338.24%311551.61%19825139.04%9321643.06%9520646.12%2331511979016979
_Vs Division46200200241952310010011832310010013112141.75024467000192112019115017514511295644775240.00%11736.36%09825139.04%9321643.06%9520646.12%2331511979016979

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W1529815047133912010421100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
106202005243
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53101002521
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53101002722
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
341338.24%311551.61%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
15017514511921120
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
9825139.04%9321643.06%9520646.12%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2331511979016979


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
1 - 2021-09-131Seattle Thunderbirds6Laval Rockets3AWSommaire du match
2 - 2021-09-1419Peoria Riverman4Seattle Thunderbirds7BWSommaire du match
3 - 2021-09-1534Seattle Thunderbirds3Hamilton Bulldogs4ALXSommaire du match
4 - 2021-09-1651Laval Rockets4Seattle Thunderbirds5BWSommaire du match
6 - 2021-09-1880Seattle Thunderbirds10Portland Pirates7AWSommaire du match
7 - 2021-09-1984Portland Pirates5Seattle Thunderbirds9BWSommaire du match
8 - 2021-09-20109Texas Stars5Seattle Thunderbirds2BLSommaire du match
9 - 2021-09-21117Seattle Thunderbirds1Peoria Riverman3ALSommaire du match
12 - 2021-09-24143Hamilton Bulldogs3Seattle Thunderbirds2BLXSommaire du match
13 - 2021-09-25160Seattle Thunderbirds7Texas Stars5AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,854,333$ 1,854,333$ 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$




Seattle 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

Seattle 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

Seattle 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

Seattle 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

Seattle 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