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Seattle Thunderbirds
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jonathan | Morale : 50 | Moyenne d’équipe : 54

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure20
Limite contact 35 / 63
Espoirs26


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique176-275-38 (0.360%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)14 - 7 (0.667%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Graeme Clarke0X100.0072678363675554625057626359444463505702400$
2T.J. Tynan0XX100.0064578158577984597467465844464657505603300$
3Ryan Schmelzer0X100.0074708260705454546858466244444455505403100$
4Jack Malone0XXX100.0078729259724848496148446242444453505102400$
5Cooper Walker0X100.0076689458684444486044466144444452505002200$
6Josh Lopina0X100.0073688556683837455638465944444450504802400$
7Jett Jones0X100.0073678856673635445538445942444449504702200$
8Vladislav Kolyachonok0X100.0063429078736064602551497625555561506202400$
9Jacob MacDonald0X100.0080749568744542612552537050595961505903200$
10Michael Karow0X100.0079758862755455532544486446444457505602600$
Rayé
1Jackson Hallum (R)0X100.007370806070788455695254615144446050570222925,000$
2Jacob Julien (R)0X100.007874875974525349614746624444445450520203895,000$
3Bradley Marek0X100.0076806758805152486043486146444453505102400$
4Tyson Jugnauth (R)0X100.007267826067808756255246614444445850590213950,000$
MOYENNE D’ÉQUIPE100.00746885617055575351494863454646565054
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Ivan Fedotov0100.004154688946485150454130464647505102813,275,000$
Rayé
MOYENNE D’ÉQUIPE100.0041546889464851504541304646475051
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Bradley MarekSeattle Thunderbirds (PIT)LW242000-11-13USANo212 Lbs6 ft4NoNoAssign ManuallyNoNo02025-07-21FalseFalsePro & Farm0$0$No---------------------------Lien
Cooper WalkerSeattle Thunderbirds (PIT)C222002-07-11ABNo185 Lbs6 ft0NoNoAssign ManuallyNoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien
Graeme ClarkeSeattle Thunderbirds (PIT)RW242001-04-24USANo183 Lbs6 ft0NoNoN/ANoNo02025-07-21FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ivan FedotovSeattle Thunderbirds (PIT)G281996-11-28FINNo214 Lbs6 ft7NoNoProspectNoNo12025-06-15FalseFalsePro & Farm3,275,000$0$0$No---------------------------Lien
Jack MaloneSeattle Thunderbirds (PIT)C/LW/RW242000-10-13USANo195 Lbs6 ft1NoNoProspectNoNo02025-06-15FalseFalsePro & Farm0$0$No---------------------------Lien
Jackson HallumSeattle Thunderbirds (PIT)C222002-09-08USAYes190 Lbs6 ft0NoNoProspectNoNo22026-06-07FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Jacob JulienSeattle Thunderbirds (PIT)C202004-09-12CANYes190 Lbs6 ft4NoNoProspectNoNo32026-06-07FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------NoNo-------Lien
Jacob MacDonaldSeattle Thunderbirds (PIT)D321993-02-26USANo208 Lbs6 ft0NoNoN/ANoNo02024-07-20FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jett JonesSeattle Thunderbirds (PIT)C222002-08-27USANo185 Lbs5 ft11NoNoAssign ManuallyNoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien
Josh LopinaSeattle Thunderbirds (PIT)C242001-02-16USANo185 Lbs6 ft0NoNoN/ANoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien
Michael KarowSeattle Thunderbirds (PIT)D261998-12-18USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo02025-09-05FalseFalsePro & Farm0$0$No---------------------------Lien
Ryan SchmelzerSeattle Thunderbirds (PIT)C311993-07-28USANo188 Lbs6 ft2NoNoN/ANoNo02024-07-01FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
T.J. TynanSeattle Thunderbirds (PIT)C/RW331992-02-25USANo160 Lbs5 ft8NoNoAssign ManuallyNoNo02025-07-28FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Tyson JugnauthSeattle Thunderbirds (PIT)D212004-04-17CANYes183 Lbs6 ft0NoNoProspectNoNo32026-06-07FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Vladislav KolyachonokSeattle Thunderbirds (PIT)D242001-05-26BLRNo198 Lbs6 ft2NoNoN/ANoNo02024-07-01FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1525.13192 Lbs6 ft10.60403,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack Malone40122
2Graeme Clarke30122
3Ryan SchmelzerJack Malone20122
4Josh Lopina10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonald40122
2Vladislav KolyachonokMichael Karow30122
3Jacob MacDonald20122
4Vladislav KolyachonokMichael Karow10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Graeme Clarke40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonald60122
2Vladislav KolyachonokMichael Karow40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonald60122
2Vladislav KolyachonokMichael Karow40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jacob MacDonald60122
240122Vladislav KolyachonokMichael Karow40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonald60122
2Vladislav KolyachonokMichael Karow40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Schmelzer, , Josh LopinaRyan Schmelzer, Ryan Schmelzer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Vladislav Kolyachonok, Michael Karow, Vladislav Kolyachonok
Tirs de pénalité
, , Graeme Clarke, , Ryan Schmelzer
Gardien
#1 : , #2 : Ivan Fedotov


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 604,500$ 604,500$ 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 des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sam Carrick399336388724-1901231579737182618.40%237750718.829411721125991105833857.05%241.9308
2Chris Terry328228292520-28520536472168813.51%200670120.43361041401484042012842.86%01.551228
3Alex Limoges291220287507-361989338588126517.39%160555219.0827467366246118358.24%151.8348
4Stefan Noesen38123623847413374557531145716.20%213679217.8366581241391015271443.67%201.4078
5Jacob MacDonald63260400460-354165078193314674.09%9371441222.80416110211223535131100.00%00.6418

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
3Ben Kraws94374090.8554.3850668237025581211710.50026
4Spencer Knight43241520.9023.742506201561586847811.0006
5Ivan Fedotov234600.8784.107180049401249110.8899

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
202382676000005371410-8734143700000279693-4144123900000258717-4591253794314800016222215302970910103810220298899822659792358034.04%33619342.56%12648146044.38%556121545.76%1302290544.82%140482919589151557553
202476106301101351981-6303863001100179481-3023843300001172500-328243516089590010713610712232673762788122811928270510341955327.18%32817646.34%7531135239.28%447132533.74%941215543.67%122464718738431472564
20258226420334442138932411619002222151793641102303122206210-473421651107222113154147152212623770800512464824201120462028240.59%2488665.32%11798148053.92%930170954.42%877152857.40%158172516448001738910
Total Saison régulière4821472750201391824243884-14602417813401077512281886-65824169141010621311961998-802383242440346458426309777885016909519659985601213172385795113858895128442533.10%161268157.75%394823969749.74%4597947348.53%54431103449.33%9373511810466478992644277
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 des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sam Carrick21112637-14065469711.34%1048923.2921113600012048.43%01.5100
2T.J. Tynan2120113141734289121.98%1340219.1793121300003051.16%11.5400
3Alex Limoges21810181272938849.52%1332815.65000000005057.83%01.1000
4Stefan Noesen215121733134284910.20%1142320.15167400030047.22%00.8000
5Paul Thompson2149135212921527.69%634116.25011300000153.85%00.7600

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 Knight2114700.9192.85126400607434130100