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Seattle Thunderbirds
GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 47 | GA: 50 | PP%: 26.92% | PK%: 61.29%
DG: Jonathan | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Seattle Thunderbirds
5-5-0, 10pts
4
FINAL
7 Portland Pirates
7-3-0, 14pts
Team Stats
W1StreakW4
3-2-0Home Record4-1-0
2-3-0Away Record3-2-0
5-5-0Last 10 Games7-3-0
4.70Buts par match 5.60
5.00Buts contre par match 4.50
26.92%Pourcentage en avantage numérique26.32%
61.29%Pourcentage en désavantage numérique62.96%
Laval Rockets
7-2-1, 15pts
4
FINAL
5 Seattle Thunderbirds
5-5-0, 10pts
Team Stats
L2StreakW1
4-1-0Home Record3-2-0
3-1-1Away Record2-3-0
7-2-1Last 10 Games5-5-0
6.40Buts par match 4.70
4.20Buts contre par match 5.00
40.00%Pourcentage en avantage numérique26.92%
76.92%Pourcentage en désavantage numérique61.29%
Meneurs d'équipe
Pavel DorofeyevButs
Pavel Dorofeyev
10
Vincent DesharnaisPasses
Vincent Desharnais
8
Pavel DorofeyevPoints
Pavel Dorofeyev
16
Logan BrownPlus/Moins
Logan Brown
6
Zane McIntyreVictoires
Zane McIntyre
3
Alex LyonPourcentage d’arrêts
Alex Lyon
0.863

Statistiques d’équipe
Buts pour
47
4.70 GFG
Tirs pour
321
32.10 Avg
Pourcentage en avantage numérique
26.9%
7 GF
Début de zone offensive
29.2%
Buts contre
50
5.00 GAA
Tirs contre
316
31.60 Avg
Pourcentage en désavantage numérique
61.3%
12 GA
Début de la zone défensive
36.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 50
Espoirs17


Historique d'équipe

Saison actuelle5-5-0 (10PTS)
Historique126-94-29 (0.506%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)14-7
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Logan Brown0X100.006744927385576364556459657551516450610241750,000$
2T.J. Tynan0XX100.006858906258707167807259625645456550600302787,500$
3Pavel Dorofeyev (R)0XX100.006963847263697065505967626444446650600211925,000$
4Alex Limoges0X100.007974925874616162785465666244446450590241780,000$
5Ryan Schmelzer0X100.007570876870595959745063636044446250580281750,000$
6Cole Maier0XX100.007372766372656760755660635744446250580271750,000$
7Mason Morelli0X100.007574776374606159745657635444446150570261700,000$
8Graeme Clarke (R)0X100.007064836464606158505457615444446050560212850,833$
9Alex Whelan0X100.008076896476555751504651644844445750540241725,000$
10Kody Clark (R)0X100.007371766071586051504751604844445550530221808,333$
11Josh Lopina (R)0X100.007672866172383551645146624444445350520213878,333$
12Sami Niku0X100.006541947566675776257047722552526450630251775,000$
13Vladislav Kolyachonok (R)0X100.007744937771696463254548752546466150630212789,167$
14Jacob MacDonald0X100.007644916773546370253947737555555850610292762,500$
15Vincent Desharnais0X100.008183776383656951254741643944445550590262762,500$
16Griffin Mendel (R)0X100.008685876285363447253939663744445150550231700,000$
17Bobby Russell (R)0X100.007268826968363445253539583744444850510221700,000$
18Dmitri Osipov0X100.006774516174474844253141563944444750510251700,000$
Rayé
MOYENNE D’ÉQUIPE100.00746584667257575849515264504646595057
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
1Alex Lyon100.00594455756161686968689546466350610291750,000$
2Zane McIntyre100.00604961796462586564633044446050600291750,000$
Rayé
MOYENNE D’ÉQUIPE100.0060475877636263676666634545625061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien61636664888259CAN59160,000$


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
1Pavel DorofeyevSeattle Thunderbirds (PIT)LW/RW101061647581047173321.28%316416.4100025000032016.4120103001.9500001130
2Graeme ClarkeSeattle Thunderbirds (PIT)RW1036944010132672511.54%315915.9800015000000015.98914001.1300000010
3T.J. TynanSeattle Thunderbirds (PIT)C/RW33585000324101112.50%16120.6110116000000020.61930002.5900000200
4Alex LimogesSeattle Thunderbirds (PIT)C10178-320818279143.70%614914.9300004000011014.9321823001.0700000012
5Vincent DesharnaisSeattle Thunderbirds (PIT)D1008803820109301240.00%815916.000000300002000.00%015001.0000211000
6Logan BrownSeattle Thunderbirds (PIT)C33476001585537.50%16321.1400015000031021.148202002.2100000100
7Sami NikuSeattle Thunderbirds (PIT)D30554001711530.00%57826.190001600003000.00%012001.2700000001
8Cole MaierSeattle Thunderbirds (PIT)C/LW3123-2555513437.69%15418.2800004000020018.28111001.0900010100
9Vladislav KolyachonokSeattle Thunderbirds (PIT)D31234001140125.00%57926.490000600003000.00%023000.7500000000
10Mason MorelliSeattle Thunderbirds (PIT)LW3112-2007372114.29%35117.1100000000000017.11430000.7800000000
11Ryan SchmelzerSeattle Thunderbirds (PIT)C3112-2002394511.11%15117.2200000000010017.222740000.7700000000
12Alex WhelanSeattle Thunderbirds (PIT)RW3112-2202142325.00%05418.230001400000000.00%011000.7300000000
13Bobby RussellSeattle Thunderbirds (PIT)D3000-100130000.00%04214.310000000000000.00%102000.00%00000000
14Griffin MendelSeattle Thunderbirds (PIT)D3000-200291020.00%25919.910000300002000.00%002000.00%00000000
15Josh LopinaSeattle Thunderbirds (PIT)C3000-100130000.00%0144.990000000000004.99201000.00%00000000
16Kody ClarkSeattle Thunderbirds (PIT)RW10000-200663030.00%1595.940000000000000.00%231000.00%00000000
17Dmitri OsipovSeattle Thunderbirds (PIT)D3000-120330100.00%04214.070000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne8625487396030681022147811311.68%40134815.681017550000244061.60%3753230001.0800222553
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)83400.8435.084370037236127000.00%0710000
2Alex LyonSeattle Thunderbirds (PIT)32000.8634.0314900107339000.00%030000
Statistiques d’équipe totales ou en moyenne115400.8484.8158600473091660001010000


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)C241997-09-16No201 Lbs6 ft1NoNoNo1Pro & Farm780,000$0$0$NoLien / Lien NHL
Alex LyonSeattle Thunderbirds (PIT)G291992-12-08No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Alex WhelanSeattle Thunderbirds (PIT)RW241997-07-20No212 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Bobby RussellSeattle Thunderbirds (PIT)D222000-03-23Yes187 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Cole MaierSeattle Thunderbirds (PIT)C/LW271995-06-24No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dmitri OsipovSeattle Thunderbirds (PIT)D251996-10-04No193 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Graeme ClarkeSeattle Thunderbirds (PIT)RW212001-04-24Yes174 Lbs6 ft0NoNoNo2Pro & Farm850,833$0$0$No850,833$Lien / Lien NHL
Griffin MendelSeattle Thunderbirds (PIT)D231999-02-18Yes220 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLien
Jacob MacDonaldSeattle Thunderbirds (PIT)D291993-02-26No204 Lbs6 ft0NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Josh LopinaSeattle Thunderbirds (PIT)C212001-02-16Yes194 Lbs6 ft2NoNoNo3Pro & Farm878,333$0$0$No878,333$878,333$
Kody ClarkSeattle Thunderbirds (PIT)RW221999-10-13Yes185 Lbs6 ft3NoNoNo1Pro & Farm808,333$0$0$NoLien / Lien NHL
Logan BrownSeattle Thunderbirds (PIT)C241998-03-04No220 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Mason MorelliSeattle Thunderbirds (PIT)LW261996-02-01No201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Pavel DorofeyevSeattle Thunderbirds (PIT)LW/RW212000-10-26Yes167 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Ryan SchmelzerSeattle Thunderbirds (PIT)C281993-07-28No187 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Sami NikuSeattle Thunderbirds (PIT)D251996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
T.J. TynanSeattle Thunderbirds (PIT)C/RW301992-02-25No165 Lbs5 ft8NoNoNo2Pro & Farm787,500$0$0$No787,500$Lien / Lien NHL
Vincent DesharnaisSeattle Thunderbirds (PIT)D261996-05-29No216 Lbs6 ft6NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Vladislav KolyachonokSeattle Thunderbirds (PIT)D212001-05-26Yes194 Lbs6 ft1NoNoNo2Pro & Farm789,167$0$0$No789,167$Lien / Lien NHL
Zane McIntyreSeattle Thunderbirds (PIT)G291992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2024.85195 Lbs6 ft21.35769,708$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevLogan BrownT.J. Tynan40122
2Cole MaierAlex LimogesGraeme Clarke30122
3Mason MorelliRyan SchmelzerAlex Whelan30122
4Pavel DorofeyevRyan SchmelzerKody Clark0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuVladislav Kolyachonok40122
2Jacob MacDonaldVincent Desharnais30122
3Griffin MendelBobby Russell20122
4Dmitri OsipovSami Niku10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel DorofeyevLogan BrownT.J. Tynan60122
2Cole MaierT.J. TynanGraeme Clarke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuVladislav Kolyachonok60122
2Jacob MacDonaldVincent Desharnais40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownPavel Dorofeyev60122
2T.J. TynanCole Maier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuVladislav Kolyachonok60122
2Jacob MacDonaldVincent Desharnais40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Brown60122Sami NikuVladislav Kolyachonok60122
2T.J. Tynan40122Jacob MacDonaldVincent Desharnais40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownPavel Dorofeyev60122
2T.J. TynanCole Maier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuVladislav Kolyachonok60122
2Jacob MacDonaldVincent Desharnais40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevLogan BrownT.J. TynanSami NikuVladislav Kolyachonok
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevLogan BrownT.J. TynanSami NikuVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Maier, Ryan Schmelzer, Mason MorelliCole Maier, Ryan SchmelzerCole Maier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Griffin Mendel, Bobby Russell, Dmitri OsipovGriffin MendelGriffin Mendel, Bobby Russell
Tirs de pénalité
Logan Brown, Pavel Dorofeyev, T.J. Tynan, Alex Limoges, Cole Maier
Gardien
#1 : Alex Lyon, #2 : Zane McIntyre


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 Bulldogs211000001091110000005321010000056-120.50010182800111917082115108980562421204125.00%8537.50%08416550.91%11220454.90%10119751.27%19911320810419286
2Laval Rockets21100000812-4110000005411010000038-520.500815230011191706211510898072151324300.00%4175.00%18416550.91%11220454.90%10119751.27%19911320810419286
3Peoria Riverman211000001011-11010000058-31100000053220.50010192900111917063115108980601831337342.86%8450.00%08416550.91%11220454.90%10119751.27%19911320810419286
4Portland Pirates20200000812-41010000045-11010000047-300.0008132100111917063115108980701815265120.00%50100.00%08416550.91%11220454.90%10119751.27%19911320810419286
5Texas Stars220000001165110000007431100000042241.00011203100111917051115108980581527297228.57%6266.67%08416550.91%11220454.90%10119751.27%19911320810419286
Total1055000004750-35320000026242523000002126-5100.50047851320011191703211151089803169010713226726.92%311261.29%18416550.91%11220454.90%10119751.27%19911320810419286
_Since Last GM Reset1055000004750-35320000026242523000002126-5100.50047851320011191703211151089803169010713226726.92%311261.29%18416550.91%11220454.90%10119751.27%19911320810419286
_Vs Conference1055000004750-35320000026242523000002126-5100.50047851320011191703211151089803169010713226726.92%311261.29%18416550.91%11220454.90%10119751.27%19911320810419286
_Vs Division2550000011651320000074312300000422102.50011203100111917051115108980581527297228.57%6266.67%08416550.91%11220454.90%10119751.27%19911320810419286

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010W147851323213169010713200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105500004750
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002624
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300002126
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
26726.92%311261.29%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
1151089801119170
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
8416550.91%11220454.90%10119751.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
19911320810419286


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-09-2616Hamilton Bulldogs3Seattle Thunderbirds5BWSommaire du match
3 - 2022-09-2729Seattle Thunderbirds5Hamilton Bulldogs6ALSommaire du match
4 - 2022-09-2843Seattle Thunderbirds5Peoria Riverman3AWSommaire du match
6 - 2022-09-3056Peoria Riverman8Seattle Thunderbirds5BLSommaire du match
7 - 2022-10-0175Texas Stars4Seattle Thunderbirds7BWSommaire du match
9 - 2022-10-0397Portland Pirates5Seattle Thunderbirds4BLSommaire du match
10 - 2022-10-04109Seattle Thunderbirds3Laval Rockets8ALSommaire du match
11 - 2022-10-05119Seattle Thunderbirds4Texas Stars2AWSommaire du match
12 - 2022-10-06122Seattle Thunderbirds4Portland Pirates7ALSommaire du match
14 - 2022-10-08149Laval Rockets4Seattle Thunderbirds5BWSommaire 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$ 1,539,416$ 1,501,583$ 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
1Sam Carrick31726029655646665484610143918.07%196605719.1173861591898084532856.94161.8408
2Chris Terry328228292520-28520536472168813.51%200670120.43361041401484042012842.8601.551228
3Stefan Noesen38123623847413374557531145716.20%213679217.8366581241391015271443.67201.4078
4Logan Brown40612329641972196355507103411.90%134608815.008364449000527849.5511.3807
5Peter Cehlarik32817621639252324556472121614.47%252653219.9228406810400036202042.2181.201224

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
1Zane McIntyre29715181320.8854.23167790011821024559762110.54786
2Alex Lyon87452660.8834.1544420030726221536500.65020
3Spencer Knight43241520.9023.742506201561586847811.0006

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
Saison régulière
202082343406215377393-1641181604111198194441161802104179199-208937762099700801571331232441042115010215530121033156016902266830.09%2377568.35%3961184452.11%855168750.68%793152452.03%175899316807531523764
202082343406215377393-1641181604111198194441161802104179199-208937762099700801571331232441042115010215530121033156016902266830.09%2377568.35%3961184452.11%855168750.68%793152452.03%175899316807531523764
20217837260453336131843391616012311591451439211003302202173299636159295320881511151030079061128949402951979128414562007437.00%2267666.37%3924171753.81%954185051.57%737139852.72%164693016297221450721
Total Saison régulière2421059401695131115110411121524809453555533221215346075010560571-1127411151832294720248465381349495299034282991150897530454404483665221032.21%70022667.71%92846540552.65%2664522451.00%2323444652.25%516329164989223044962249
Séries éliminatoires
2021211470000082612111920000043331010550000039281128821302121023302727502412532515744218325453491632.65%561573.21%022444050.91%25046453.88%16432450.62%431230429199405202
Total Séries éliminatoires211470000082612111920000043331010550000039281128821302121023302727502412532515744218325453491632.65%561573.21%022444050.91%25046453.88%16432450.62%431230429199405202

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
1Sam Carrick21112637-14065469711.34%1048923.2921113600012048.4301.5100
2T.J. Tynan2120113141734289121.98%1340219.1793121300003051.1611.5400
3Alex Limoges21810181272938849.52%1332815.65000000005057.8301.1000
4Stefan Noesen215121733134284910.20%1142320.15167400030047.2200.8000
5Paul Thompson2149135212921527.69%634116.25011300000153.8500.7600

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
1Spencer Knight2114700.9192.8512640060743413010.00%0