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Thunderbirds
GP: 35 | W: 13 | L: 19 | OTL: 3 | P: 29
GF: 77 | GA: 96 | PP%: 12.31% | PK%: 86.36%
DG: Interim - Blues | Morale : 88 | Moyenne d’équipe : 66
Prochains matchs #501 vs Comets

Centre de jeu
Phantoms
11-13-11, 33pts
3
1 Thunderbirds
13-19-3, 29pts
Team Stats
W2SéquenceL4
6-8-3Fiche domicile5-10-2
5-5-8Fiche domicile8-9-1
4-5-1Derniers 10 matchs2-7-1
2.40Buts par match 2.20
3.09Buts contre par match 2.74
16.28%Pourcentage en avantage numérique12.31%
78.95%Pourcentage en désavantage numérique86.36%
Thunderbirds
13-19-3, 29pts
1
3 Wild
21-12-2, 44pts
Team Stats
L4SéquenceL1
5-10-2Fiche domicile11-5-2
8-9-1Fiche domicile10-7-0
2-7-1Derniers 10 matchs5-4-1
2.20Buts par match 2.57
2.74Buts contre par match 2.40
12.31%Pourcentage en avantage numérique17.69%
86.36%Pourcentage en désavantage numérique87.31%
Comets
21-10-4, 46pts
Jour 47
Thunderbirds
13-19-3, 29pts
Statistiques d’équipe
W1SéquenceL4
10-7-1Fiche domicile5-10-2
11-3-3Fiche visiteur8-9-1
5-2-310 derniers matchs2-7-1
2.97Buts par match 2.20
2.46Buts contre par match 2.20
19.71%Pourcentage en avantage numérique12.31%
79.65%Pourcentage en désavantage numérique86.36%
Meneurs d'équipe
Kevin LabancButs
Kevin Labanc
12
Andreas AthanasiouPasses
Andreas Athanasiou
21
Andreas AthanasiouPoints
Andreas Athanasiou
29
Joel KivirantaPlus/Moins
Joel Kiviranta
2
Joel BlomqvistVictoires
Joel Blomqvist
8
Joel BlomqvistPourcentage d’arrêts
Joel Blomqvist
0.911

Statistiques d’équipe
Buts pour
77
2.20 GFG
Tirs pour
857
24.49 Avg
Pourcentage en avantage numérique
12.3%
16 GF
Début de zone offensive
38.8%
Buts contre
96
2.74 GAA
Tirs contre
1023
29.23 Avg
Pourcentage en désavantage numérique
86.4%%
21 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralInterim - Blues
DivisionCentral
ConférenceWest Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance8,000
Billets de saison8,000


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs13


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
1Tyler Pitlick0XX100.00823089777579866471676573607371079690341775,000$
2Andreas Athanasiou0XXX100.00673088817884726875676465717372079680311775,000$
3Joel Kiviranta0XX100.00823083806677826350636672656769079680301775,000$
4Matthew Peca0X100.00713091796379846680676065626971079670331550,000$
5Kevin Labanc0XX100.00713089786978746653686563657470079670301775,000$
6Filip Bystedt (R)0XX100.00813084767884806476646267656163079670223918,333$
7Justin Robidas (R)0XX100.00713094756685876480626363656264079660232825,000$
8Otto Koivula0XX100.00783070659179806276665766606666079650271550,000$
9Ozzy Wiesblatt (R)0X100.00673070756977835858575566606264079630241835,333$
10Caedan Bankier (R)0X100.00703086717285795873566064606154079630232867,500$
11Zach Dean (R)0X100.00713085757077805766585664566163079630232852,500$
12Danila Klimovich (R)0X100.00763077648179765755535765596154079610231855,833$
13Alec Regula (R)0X100.00783071758783805830605572506460079690252775,000$
14Shakir Mukhamadullin (R)0X100.00743086797286866330625672506262079690241894,167$
15Tyler Tucker (R)0X100.00773061717881766430594978506567079680261925,000$
16Lucas Johansen0X100.00673091797679765930615262506769079660281775,000$
17Yan Kuznetsov (R)0X100.00803086677877845630455173506264079660241870,000$
18Nicolas Beaudin (R)0X100.00573074736675806730555165506567079640261775,000$
Rayé
1Henri Nikkanen (R)0X100.00813090658671835363545564506360064610251859,167$
2Bogdan Trineyev (R)0XX100.00793090598374785250505464515254064590242859,167$
3Matt Stienburg (R)0X100.00693068627471745563535458556464064590251898,750$
4Elias Salomonsson (R)0X100.00653086767075785830604262406163064630213815,000$
5Marek Alscher (R)0X100.00763080637674794630475061406163064610223865,000$
MOYENNE D’ÉQUIPE100.0073308272757980605359566656646407665
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
1Joel Blomqvist (R)0100.0077868283767577767577766359076750242886,667$
2Nikke Kokko (R)0100.0078777480777678777678776155076740223891,666$
Rayé
1Mads Sogaard (R)0100.0073807698727173727173726563082730252775,000$
MOYENNE D’ÉQUIPE100.007681778775747675747675635907874
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
1Andreas AthanasiouThunderbirds (STL)C/LW/RW3582129180216879287310.13%462117.762810141210000151151.24%72800000.9300000141
2Kevin LabancThunderbirds (STL)LW/RW3512820-280283576267115.79%261317.5244822121000012043.18%4400000.6500000110
3Filip BystedtThunderbirds (STL)C/LW351010201260763177215212.99%664418.40415241210001413053.66%8200000.6200000212
4Shakir MukhamadullinThunderbirds (STL)D3521719130063394421334.55%5177822.25077291270000114100%000000.4900000012
5Matthew PecaThunderbirds (STL)C358917-2100137374234210.81%259116.8921322128000182050.65%53900000.5800000100
6Joel KivirantaThunderbirds (STL)LW/RW3589172160666110729787.48%1271120.331342610610151491137.74%5300000.4800000310
7Tyler PitlickThunderbirds (STL)C/RW356814-122038608725516.90%967419.260221510401161591047.73%48400000.4200000003
8Otto KoivulaThunderbirds (STL)C/LW356713-10180414258134710.34%1057416.4112320990002760153.85%52000000.4500000121
9Justin RobidasThunderbirds (STL)C/RW355813-46023316516477.69%656916.2821320106000001156.25%4800000.4600000210
10Tyler TuckerThunderbirds (STL)D3511011-9520814516086.25%5065818.82000000220107000%000100.3300000001
11Lucas JohansenThunderbirds (STL)D35178-11801621196235.26%2567319.230111497011030000%000000.2400000001
12Alec RegulaThunderbirds (STL)D35178-55005925165106.25%5363018.01000170000103000%000000.2500000000
13Yan KuznetsovThunderbirds (STL)D35178-4160271918775.56%5263918.27000000000119000%000000.2500000100
14Nicolas BeaudinThunderbirds (STL)D351671260181914677.14%2559517.0100031000059000%000000.2400000001
15Ozzy WiesblattThunderbirds (STL)RW35404-26019162832214.29%53409.73000021013750035.00%2000000.2300000000
16Caedan BankierThunderbirds (STL)C35033-460326279180%12727.7800016000000049.80%25100000.2200000000
17Zach DeanThunderbirds (STL)C35202-122010133311246.06%639911.4100013000000142.86%2800000.1000000000
18Danila KlimovichThunderbirds (STL)C35101-31602416195135.26%32637.5200000000001041.18%1700000.0800000010
Statistiques d’équipe totales ou en moyenne63077137214-7430606266408572546268.98%3221025016.27163046212115524618106013550.39%281400100.4200000121212
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
1Joel BlomqvistThunderbirds (STL)198910.9112.6310730147527000001817230
2Nikke KokkoThunderbirds (STL)1851020.9052.7410292047494002001718101
Statistiques d’équipe totales ou en moyenne37131930.9082.6821032194102100203535331


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alec RegulaThunderbirds (STL)D252000-08-06USAYes211 Lbs6 ft4NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Andreas AthanasiouThunderbirds (STL)C/LW/RW311994-08-06CANNo190 Lbs6 ft2NoNoFree AgentNoYes12026-04-23FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Bogdan TrineyevThunderbirds (STL)LW/RW242002-03-04RUSYes198 Lbs6 ft3NoNoProspectNoNo22024-06-26FalseFalsePro & Farm859,167$35,799$0$0$No859,167$--------859,167$--------No--------Lien / Lien NHL
Caedan Bankier (contrat à 1 volet)Thunderbirds (STL)C232003-01-26CANYes192 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm867,500$53,112$0$0$No867,500$--------867,500$--------No--------Lien / Lien NHL
Danila KlimovichThunderbirds (STL)C232003-01-09BLRYes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm855,833$35,660$0$0$No---------------------------Lien / Lien NHL
Elias SalomonssonThunderbirds (STL)D212004-08-31SWEYes172 Lbs6 ft0NoNoProspectNoNo32025-09-22FalseFalsePro & Farm815,000$33,958$0$0$No815,000$815,000$-------815,000$815,000$-------NoNo-------Lien / Lien NHL
Filip BystedtThunderbirds (STL)C/LW222004-02-04SWEYes187 Lbs6 ft2NoNoProspectNoNo32025-09-22FalseFalsePro & Farm918,333$38,264$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien / Lien NHL
Henri NikkanenThunderbirds (STL)C252001-04-28FINYes217 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm859,167$35,799$0$0$No---------------------------Lien / Lien NHL
Joel BlomqvistThunderbirds (STL)G242002-01-10FINYes183 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm886,667$36,944$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Joel KivirantaThunderbirds (STL)LW/RW301996-03-23FINNo180 Lbs5 ft11NoNoFree AgentNoYes12025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Justin RobidasThunderbirds (STL)C/RW232003-03-13CANYes176 Lbs5 ft8NoNoProspectNoNo22025-09-22FalseFalsePro & Farm825,000$34,375$0$0$No825,000$--------825,000$--------No--------Lien / Lien NHL
Kevin LabancThunderbirds (STL)LW/RW301995-12-12USANo185 Lbs5 ft11NoNoFree Agent2024-03-18NoYes12026-04-23FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Lucas JohansenThunderbirds (STL)D281997-11-16CANNo176 Lbs6 ft2NoNoFree AgentNoYes12025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Mads Sogaard Thunderbirds (STL)G252000-12-13DNKYes196 Lbs6 ft7NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Marek AlscherThunderbirds (STL)D222004-04-07CZEYes206 Lbs6 ft3NoNoProspectNoNo32025-09-22FalseFalsePro & Farm865,000$36,042$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien / Lien NHL
Matt StienburgThunderbirds (STL)C252000-10-07CANYes182 Lbs6 ft1NoNoProspectNoNo12024-06-26FalseFalsePro & Farm898,750$37,448$0$0$No---------------------------Lien / Lien NHL
Matthew PecaThunderbirds (STL)C331993-04-27CANNo182 Lbs5 ft9NoNoFree AgentNoYes12025-10-27FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Nicolas BeaudinThunderbirds (STL)D261999-10-07CANYes168 Lbs5 ft11NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Nikke KokkoThunderbirds (STL)G222004-03-14FINYes184 Lbs6 ft3NoNoProspectNoNo32025-09-22FalseFalsePro & Farm891,666$37,153$0$0$No891,666$891,666$-------891,666$891,666$-------NoNo-------Lien / Lien NHL
Otto KoivulaThunderbirds (STL)C/LW271998-09-01FINNo219 Lbs6 ft4NoNoFree AgentNoYes12026-04-20FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Ozzy WiesblattThunderbirds (STL)RW242002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm835,333$34,806$0$0$No---------------------------Lien / Lien NHL
Shakir MukhamadullinThunderbirds (STL)D242002-01-10rusYes178 Lbs6 ft4NoNoProspectNoNo12024-06-26FalseFalsePro & Farm894,167$37,257$0$0$No---------------------------Lien / Lien NHL
Tyler PitlickThunderbirds (STL)C/RW341991-11-01USANo200 Lbs6 ft2NoNoFree AgentNoYes12026-04-23FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Tyler TuckerThunderbirds (STL)D262000-03-01CANYes204 Lbs6 ft1NoNoFree AgentNoNo12026-04-22FalseFalsePro & Farm925,000$38,542$0$0$No---------------------------Lien / Lien NHL
Yan KuznetsovThunderbirds (STL)D242002-03-09RUSYes209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm870,000$36,250$0$0$No---------------------------Lien / Lien NHL
Zach DeanThunderbirds (STL)C232003-01-04CANYes176 Lbs6 ft0NoNoProspectNoNo22025-06-13FalseFalsePro & Farm852,500$35,521$0$0$No852,500$--------852,500$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.54191 Lbs6 ft21.58816,119$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip BystedtAndreas AthanasiouKevin Labanc30014
2Joel KivirantaMatthew PecaJustin Robidas30023
3Zach DeanOtto KoivulaTyler Pitlick26032
4Danila KlimovichCaedan BankierOzzy Wiesblatt14230
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lucas JohansenTyler Tucker34122
2Nicolas BeaudinShakir Mukhamadullin34122
3Alec RegulaYan Kuznetsov32041
4Alec RegulaYan Kuznetsov0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip BystedtAndreas AthanasiouKevin Labanc60005
2Joel KivirantaTyler PitlickJustin Robidas40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew PecaShakir Mukhamadullin60014
2Otto KoivulaLucas Johansen40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickJoel Kiviranta60041
2Otto KoivulaOzzy Wiesblatt40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerYan Kuznetsov60140
2Alec RegulaShakir Mukhamadullin40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Pitlick50050Tyler TuckerYan Kuznetsov50050
2Otto Koivula50050Alec RegulaShakir Mukhamadullin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas AthanasiouKevin Labanc50023
2Justin RobidasTyler Pitlick50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lucas JohansenTyler Tucker50023
2Nicolas BeaudinShakir Mukhamadullin50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin LabancAndreas AthanasiouJustin RobidasTyler PitlickShakir Mukhamadullin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaOtto KoivulaTyler PitlickYan KuznetsovTyler Tucker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Peca, Caedan Bankier, Danila KlimovichCaedan Bankier, Zach DeanFilip Bystedt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Tucker, Nicolas Beaudin, Lucas JohansenAlec RegulaNicolas Beaudin, Lucas Johansen
Tirs de pénalité
Andreas Athanasiou, Kevin Labanc, Justin Robidas, Filip Bystedt, Joel Kiviranta
Gardien
#1 : Nikke Kokko, #2 : Joel Blomqvist
Lignes d’attaque personnalisées en prolongation
Filip Bystedt, Kevin Labanc, Tyler Pitlick, Justin Robidas, Andreas Athanasiou, Joel Kiviranta, Matthew Peca, Zach Dean, Otto Koivula, Caedan Bankier
Lignes de défense personnalisées en prolongation
Tyler Tucker, Lucas Johansen, Shakir Mukhamadullin, Yan Kuznetsov, Alec Regula


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
1Admirals2020000025-31010000023-11010000002-200.000246002825204512672962831152172451500.00%12375.00%0537108549.49%599117550.98%28253652.61%805550860261445214
2Americans1010000023-11010000023-10000000000000.00023500282520422267296283112694224250.00%20100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
3Barracuda1010000013-21010000013-20000000000000.0001120028252043726729628311217219800.00%10100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
4Bears11000000321000000000001100000032121.00036900282520425267296283112346233133.33%30100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
5Bruins1010000012-1000000000001010000012-100.00012300282520424267296283114171017300.00%50100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
6Canucks11000000321110000003210000000000021.000369002825204272672962831120610156116.67%50100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
7Checkers1010000023-11010000023-10000000000000.00023500282520426267296283113991220300.00%6266.67%0537108549.49%599117550.98%28253652.61%805550860261445214
8Condors11000000321000000000001100000032121.0003580028252042726729628311218412200.00%20100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
9Crunch10001000321000000000001000100032121.0003470028252043126729628311287619300.00%3166.67%0537108549.49%599117550.98%28253652.61%805550860261445214
10Eagles10001000431000000000001000100043121.000461000282520423267296283113898153266.67%4175.00%0537108549.49%599117550.98%28253652.61%805550860261445214
11Griffins2010010035-21010000012-11000010023-110.250369002825204372672962831163222430600.00%12191.67%0537108549.49%599117550.98%28253652.61%805550860261445214
12Gulls1010000034-1000000000001010000034-100.000358002825204262672962831134186154125.00%3166.67%0537108549.49%599117550.98%28253652.61%805550860261445214
13IceHogs41300000812-42020000048-42110000044020.2508162411282520495267296283111023126711815.56%13192.31%1537108549.49%599117550.98%28253652.61%805550860261445214
14Islanders1010000037-4000000000001010000037-400.0003580028252042626729628311381016236233.33%80100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
15Marlies11000000312110000003120000000000021.000369002825204282672962831124178173266.67%40100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
16Moose21001000743110000003121000100043141.000712190028252045426729628311522720297114.29%10190.00%0537108549.49%599117550.98%28253652.61%805550860261445214
17Penguins11000000312000000000001100000031221.0003690028252042926729628311194217700.00%10100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
18Phantoms2010100056-11010000013-21000100043120.5005914102825204382672962831160172238400.00%11281.82%0537108549.49%599117550.98%28253652.61%805550860261445214
19Reign1000010023-11000010023-10000000000010.500246002825204322672962831129689400.00%40100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
20Rocket1010000013-2000000000001010000013-200.0001230028252042126729628311394419300.00%20100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
21Senators11000000211110000002110000000000021.00022400282520423267296283112891215100.00%60100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
22Stars2020000046-21010000034-11010000012-100.00048120028252043126729628311581512464125.00%6183.33%0537108549.49%599117550.98%28253652.61%805550860261445214
23Wild2020000017-61010000004-41010000013-200.0001120028252044626729628311743130311100.00%15473.33%0537108549.49%599117550.98%28253652.61%805550860261445214
24Wolf Pack11000000321110000003210000000000021.000369002825204312672962831132108195120.00%4250.00%0537108549.49%599117550.98%28253652.61%805550860261445214
25Wolves1010000023-1000000000001010000023-100.00024600282520434267296283112361422600.00%7185.71%1537108549.49%599117550.98%28253652.61%805550860261445214
26Wranglers1000010034-11000010034-10000000000010.50035800282520413267296283113912101211100.00%50100.00%0537108549.49%599117550.98%28253652.61%805550860261445214
Total35919043007796-1917510002003547-121849041004249-7290.414771372142128252048572672962831110233223086261301612.31%1542186.36%2537108549.49%599117550.98%28253652.61%805550860261445214
_Since Last GM Reset35919043007796-1917510002003547-121849041004249-7290.414771372142128252048572672962831110233223086261301612.31%1542186.36%2537108549.49%599117550.98%28253652.61%805550860261445214
_Vs Conference21412023004460-161127002002234-121025021002226-4150.35744791231128252044992672962831160320918435579810.13%921385.87%1537108549.49%599117550.98%28253652.61%805550860261445214
_Vs Division14210011002539-14716000001322-9714011001217-570.250254772112825204314267296283114011431362585135.88%681183.82%1537108549.49%599117550.98%28253652.61%805550860261445214

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3529L477137214857102332230862621
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3591943007796
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1751002003547
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
184941004249
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1301612.31%1542186.36%2
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
267296283112825204
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
537108549.49%599117550.98%28253652.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
805550860261445214


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
215IceHogs3Thunderbirds1LSommaire du match
331Barracuda3Thunderbirds1LSommaire du match
543Thunderbirds4Phantoms3WXSommaire du match
659Thunderbirds2Wolves3LSommaire du match
770Moose1Thunderbirds3WSommaire du match
886Thunderbirds3IceHogs4LSommaire du match
999Marlies1Thunderbirds3WSommaire du match
11113Wranglers4Thunderbirds3LXSommaire du match
12136Checkers3Thunderbirds2LSommaire du match
13149Thunderbirds4Moose3WXSommaire du match
14163Reign3Thunderbirds2LXSommaire du match
15172Thunderbirds3Bears2WSommaire du match
18194Thunderbirds3Islanders7LSommaire du match
19207Stars4Thunderbirds3LSommaire du match
20223Thunderbirds3Gulls4LSommaire du match
21230IceHogs5Thunderbirds3LSommaire du match
22246Thunderbirds1IceHogs0WSommaire du match
24259Admirals3Thunderbirds2LSommaire du match
25277Thunderbirds3Condors2WSommaire du match
26286Senators1Thunderbirds2WSommaire du match
27305Thunderbirds3Penguins1WSommaire du match
28313Griffins2Thunderbirds1LSommaire du match
30337Wild4Thunderbirds0LSommaire du match
31345Thunderbirds4Eagles3WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
32363Wolf Pack2Thunderbirds3WSommaire du match
33375Thunderbirds1Stars2LSommaire du match
34390Thunderbirds1Rocket3LSommaire du match
35397Canucks2Thunderbirds3WSommaire du match
37409Thunderbirds3Crunch2WXSommaire du match
38428Americans3Thunderbirds2LSommaire du match
39445Thunderbirds2Griffins3LXSommaire du match
40451Thunderbirds0Admirals2LSommaire du match
42460Thunderbirds1Bruins2LSommaire du match
43468Phantoms3Thunderbirds1LSommaire du match
44478Thunderbirds1Wild3LSommaire du match
47501Comets-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50003000
Prix des billets4025
Assistance85,00051,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 8000 - 100.00% 409,750$6,965,750$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,950,354$ 2,035,159$ 2,038,243$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
42,463$ 1,953,298$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
409,750$ 2 42,399$ 84,798$




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

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

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

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

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