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Connexion

Thunder
GP: 32 | W: 9 | L: 18 | OTL: 5 | P: 23
GF: 128 | GA: 183 | PP%: 22.37% | PK%: 51.35%
DG: Vacant | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #514 vs Cabaret Lady Mary Ann

Centre de jeu
Thunder
9-18-5, 23pts
5
FINAL
6 Spiders
23-5-4, 50pts
Team Stats
L4SéquenceW5
5-5-5Fiche domicile12-2-2
4-13-0Fiche domicile11-3-2
2-7-1Derniers 10 matchs8-2-0
4.00Buts par match 5.34
5.72Buts contre par match 3.91
22.37%Pourcentage en avantage numérique26.53%
51.35%Pourcentage en désavantage numérique65.67%
Thunder
9-18-5, 23pts
1
FINAL
5 Sound Tigers
17-10-6, 40pts
Team Stats
L4SéquenceW4
5-5-5Fiche domicile9-4-5
4-13-0Fiche domicile8-6-1
2-7-1Derniers 10 matchs6-2-2
4.00Buts par match 4.09
5.72Buts contre par match 3.94
22.37%Pourcentage en avantage numérique25.88%
51.35%Pourcentage en désavantage numérique65.33%
Cabaret Lady Mary Ann
10-20-1, 21pts
2025-12-15
Thunder
9-18-5, 23pts
Statistiques d’équipe
L1SéquenceL4
4-13-1Fiche domicile5-5-5
6-7-0Fiche visiteur4-13-0
3-7-010 derniers matchs2-7-1
4.03Buts par match 4.00
5.90Buts contre par match 4.00
24.14%Pourcentage en avantage numérique22.37%
61.60%Pourcentage en désavantage numérique51.35%
Monarchs
8-21-2, 18pts
2025-12-18
Thunder
9-18-5, 23pts
Statistiques d’équipe
L6SéquenceL4
2-11-1Fiche domicile5-5-5
6-10-1Fiche visiteur4-13-0
0-9-110 derniers matchs2-7-1
3.48Buts par match 4.00
5.77Buts contre par match 4.00
15.96%Pourcentage en avantage numérique22.37%
57.58%Pourcentage en désavantage numérique51.35%
Caroline
8-20-3, 19pts
2025-12-20
Thunder
9-18-5, 23pts
Statistiques d’équipe
L4SéquenceL4
5-9-2Fiche domicile5-5-5
3-11-1Fiche visiteur4-13-0
3-7-010 derniers matchs2-7-1
3.84Buts par match 4.00
5.87Buts contre par match 4.00
15.38%Pourcentage en avantage numérique22.37%
58.93%Pourcentage en désavantage numérique51.35%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
128
4.00 GFG
Tirs pour
752
23.50 Avg
Pourcentage en avantage numérique
22.4%
17 GF
Début de zone offensive
29.1%
Buts contre
183
5.72 GAA
Tirs contre
825
25.78 Avg
Pourcentage en désavantage numérique
51.4%%
54 GA
Début de la zone défensive
31.2%
Informations de l'équipe

Directeur généralVacant
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,879
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs26


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
1John Beecher (R)XX100.00784381738681746977666473695650050690231925,000$
2Zach L'Heureux (R)X100.00777057737475686942676469685250050660212863,333$
3Adam Edstrom (R)XX100.00734973668672686641606264655550050640232846,667$
4Max Sasson (R)X100.00634177737174646660636266675250050640242870,000$
5Zack Ostapchuk (R)X100.00765867698072706566616166655550050640212825,000$
6Alex Steeves (R)X100.00614467706466656846646560675350050630241834,167$
7Matthew Savoie (R)X100.00624166675861606243625964635050050600203886,667$
8Adam Beckman (R)XX100.00584271646465636444616053635250050590231800,000$
9Chase Wheatcroft (R)X100.00604270656364626042605558605150050590222862,500$
10Parker Ford (R)X100.00564465666164616243565753625250050580241620,000$
11Brendan SmithX100.007169647379848771406764746989790507203511,100,000$
12Emil Andrae (R)X100.00644276757077686740646070675550050660221903,333$
13Antti Tuomisto (R)X100.00654466656965636340615567615250050620231825,000$
14Max Crozier (R)X100.00634761696465636340615868635350050620241560,000$
15Ryan O'Rourke (R)X100.00594566656565636140555358605150050590221800,000$
16Artem Grushnikov (R)X100.00624269636663625940525362595050050590212814,167$
17Ole Julian Bjørgvik-Holm (R)X100.00614361626462615840545561585150050580221845,333$
Rayé
1Alexis Gendron (R)X100.00604366656360586142545853615050050570202860,000$
2Jayden Grubbe (R)X100.00604465616663626056565354585050050570212867,500$
3Justin Ertel (R)X100.00614167626260585740555459575050050570213867,500$
4Chase Stillman (R)X100.00574662626463616042555452595050050560212863,333$
5Atley Calvert (R)X100.0060416761625957585154555558505005056N0213620,000$
6Zac Funk (R)X100.00604166616258565740545455575050050560213905,000$
MOYENNE D’ÉQUIPE100.0064466767686764634659586162535105061
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
1Georgi Romanov (R)100.0069636367666667656666575250050600242910,000$
2Thomas Milic (R)100.0068606161646466636664595050050580212841,667$
Rayé
1Jacob Ingham (R)100.00635656676259595661605152500505502421,000,000$
2Juho Markkanen (R)100.0053545355535354525252525551050500222620,000$
MOYENNE D’ÉQUIPE100.006358586361616259616155525005056
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
Adam BeckmanThunder (Tam)LW/RW232001-05-10CANYes194 Lbs6 ft2NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Adam EdstromThunder (Tam)C/RW232000-10-12SWEYes241 Lbs6 ft7NoNoDraftNoNo22024-06-25FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Lien
Alex SteevesThunder (Tam)C241999-12-10USAYes196 Lbs6 ft0NoNoTrade2025-07-18NoYes1FalseFalsePro & Farm834,167$0$0$No---------------------------Lien
Alexis GendronThunder (Tam)RW202003-12-30CANYes187 Lbs5 ft10NoNoTrade2025-07-18NoNo22024-06-25FalseFalsePro & Farm860,000$0$0$No860,000$--------860,000$--------No--------Lien
Antti TuomistoThunder (Tam)D232001-01-20FINYes205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Artem GrushnikovThunder (Tam)D212003-03-20RUSYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm814,167$0$0$No814,167$--------814,167$--------No--------Lien
Atley Calvert (contrat à 1 volet)Thunder (Tam)C212003-09-17CANYes194 Lbs6 ft0YesNoFree AgentNoNo32025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Brendan Smith (contrat à 1 volet)Thunder (Tam)D351989-02-08CANNo200 Lbs6 ft2NoNoFree Agent2024-03-06YesYes12024-09-28FalseFalsePro & Farm1,100,000$180,000$116,580$No---------------------------Lien
Chase StillmanThunder (Tam)RW212003-03-29CANYes185 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Chase WheatcroftThunder (Tam)C222002-05-28CANYes185 Lbs6 ft2NoNoTrade2025-07-18NoNo22024-06-25FalseFalsePro & Farm862,500$0$0$No862,500$--------862,500$--------No--------Lien
Emil AndraeThunder (Tam)D222002-02-23SWEYes189 Lbs5 ft9NoNoTrade2025-11-23NoNo1FalseFalsePro & Farm903,333$0$0$No---------------------------Lien
Georgi RomanovThunder (Tam)G241999-12-15RUSYes196 Lbs6 ft5NoNoDraftNoYes22024-06-25FalseFalsePro & Farm910,000$0$0$No910,000$--------910,000$--------No--------Lien
Jacob InghamThunder (Tam)G242000-06-10CANYes205 Lbs6 ft5NoNoTrade2025-08-26NoYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Jayden GrubbeThunder (Tam)C212003-01-12CANYes201 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
John BeecherThunder (Tam)C/RW232001-04-05USAYes220 Lbs6 ft3NoNoTrade2024-01-25NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Juho MarkkanenThunder (Tam)G222002-04-06FINYes146 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Justin ErtelThunder (Tam)LW212003-05-27CANYes187 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
Matthew SavoieThunder (Tam)C202004-01-01CANYes176 Lbs5 ft10NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Max CrozierThunder (Tam)D242000-04-19CANYes185 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Max SassonThunder (Tam)C242000-09-05USAYes181 Lbs6 ft1NoNoTrade2024-12-07NoYes22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Ole Julian Bjørgvik-HolmThunder (Tam)D222002-05-23NORYes198 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm845,333$0$0$No---------------------------Lien
Parker Ford (contrat à 1 volet)Thunder (Tam)C242000-07-20USAYes185 Lbs5 ft10NoNoTrade2024-10-17NoYes1FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Ryan O'RourkeThunder (Tam)D222002-05-16CANYes192 Lbs6 ft1NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Thomas MilicThunder (Tam)G212003-04-14CANYes179 Lbs6 ft0NoNoDraftNoNo22024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Lien
Zac FunkThunder (Tam)RW212003-07-20CANYes194 Lbs6 ft0NoNoTrade2025-07-18NoNo32025-07-10FalseFalsePro & Farm905,000$0$0$No905,000$905,000$-------905,000$905,000$-------NoNo-------Lien
Zach L'HeureuxThunder (Tam)LW212003-05-15CANYes197 Lbs5 ft11NoNoProspectNoNo22024-07-08FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Zack OstapchukThunder (Tam)C212003-05-29CANYes212 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.59194 Lbs6 ft21.78834,673$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Admirals1010000008-81010000008-80000000000000.000000002447562261932692811527111517500.00%550.00%019945443.83%17548636.01%24861840.13%783544626290530225
2Baby Hawks10001000651100010006510000000000021.00061218002447562341932692811533961611100.00%3166.67%019945443.83%17548636.01%24861840.13%783544626290530225
3Bears30200001921-121000000134-120200000617-1110.16791827002447562771932692811588342733400.00%11554.55%019945443.83%17548636.01%24861840.13%783544626290530225
4Bruins1010000045-1000000000001010000045-100.000471100244756225193269281151994123133.33%3166.67%019945443.83%17548636.01%24861840.13%783544626290530225
5Cabaret Lady Mary Ann1010000048-4000000000001010000048-400.0004812002447562151932692811528686100.00%4250.00%019945443.83%17548636.01%24861840.13%783544626290530225
6Comets1000010045-11000010045-10000000000010.50047110024475621819326928115241048200.00%2150.00%019945443.83%17548636.01%24861840.13%783544626290530225
7Cougars211000001413100000000000211000001413120.5001427410024475625419326928115621314242150.00%7442.86%119945443.83%17548636.01%24861840.13%783544626290530225
8Heat1000000145-11000000145-10000000000010.500481200244756223193269281152264113133.33%20100.00%019945443.83%17548636.01%24861840.13%783544626290530225
9Jayhawks11000000514000000000001100000051421.0005101500244756221193269281151844216466.67%2150.00%019945443.83%17548636.01%24861840.13%783544626290530225
10Las Vegas21000100131031000010045-11100000095430.750132538002447562411932692811532119336116.67%20100.00%119945443.83%17548636.01%24861840.13%783544626290530225
11Manchots11000000532110000005320000000000021.000510150024475622819326928115228412300.00%2150.00%019945443.83%17548636.01%24861840.13%783544626290530225
12Marlies1010000037-4000000000001010000037-400.00036900244756220193269281152271173133.33%330.00%019945443.83%17548636.01%24861840.13%783544626290530225
13Monsters1010000024-2000000000001010000024-200.000246002447562181932692811514688100.00%4175.00%019945443.83%17548636.01%24861840.13%783544626290530225
14Monsters1010000058-3000000000001010000058-300.00051015002447562351932692811525583113133.33%4325.00%019945443.83%17548636.01%24861840.13%783544626290530225
15Oil Kings1010000019-81010000019-80000000000000.000123002447562231932692811539131913100.00%7528.57%019945443.83%17548636.01%24861840.13%783544626290530225
16Phantoms1010000026-41010000026-40000000000000.000246002447562221932692811536121514200.00%5340.00%019945443.83%17548636.01%24861840.13%783544626290530225
17Roadrunners11000000431000000000001100000043121.000481200244756222193269281152124104125.00%20100.00%019945443.83%17548636.01%24861840.13%783544626290530225
18Rocket1010000013-2000000000001010000013-200.0001230024475621719326928115183413200.00%2150.00%019945443.83%17548636.01%24861840.13%783544626290530225
19Senators11000000312110000003120000000000021.000369002447562221932692811583810300.00%4175.00%019945443.83%17548636.01%24861840.13%783544626290530225
20Sound Tigers312000001516-11100000084420200000712-520.3331529440024475627219326928115873725408337.50%10280.00%019945443.83%17548636.01%24861840.13%783544626290530225
21Spiders312000001318-521100000812-41010000056-120.3331325380024475627019326928115963326466116.67%13653.85%119945443.83%17548636.01%24861840.13%783544626290530225
22Stars10100000410-610100000410-60000000000000.000481200244756221193269281153791893133.33%4325.00%019945443.83%17548636.01%24861840.13%783544626290530225
23Wolf Pack20100100714-71000010045-11010000039-610.25071421002447562481932692811547172524400.00%10550.00%119945443.83%17548636.01%24861840.13%783544626290530225
Total3281801302128183-551545013025682-26174130000072101-29230.35912825037800244756275219326928115825268345398761722.37%1115451.35%419945443.83%17548636.01%24861840.13%783544626290530225
_Since Last GM Reset3281801302128183-551545013025682-26174130000072101-29230.35912825037800244756275219326928115825268345398761722.37%1115451.35%419945443.83%17548636.01%24861840.13%783544626290530225
_Vs Conference195120010167106-39943001013343-101019000003463-29120.316671311980024475624501932692811548717917223346715.22%723354.17%219945443.83%17548636.01%24861840.13%783544626290530225

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3223L412825037875282526834539800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
328181302128183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
154513025682
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
17413000072101
Derniers 10 matchs
WLOTWOTL SOWSOL
270001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
761722.37%1115451.35%4
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
193269281152447562
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
19945443.83%17548636.01%24861840.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
783544626290530225


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-10-0911Senators1Thunder3WSommaire du match
5 - 2025-10-1126Spiders9Thunder4LSommaire du match
7 - 2025-10-1340Thunder4Bruins5LSommaire du match
8 - 2025-10-1452Thunder3Bears10LSommaire du match
11 - 2025-10-1772Thunder10Cougars6WSommaire du match
12 - 2025-10-1882Thunder2Monsters4LSommaire du match
17 - 2025-10-23113Baby Hawks5Thunder6WXSommaire du match
19 - 2025-10-25129Admirals8Thunder0LSommaire du match
20 - 2025-10-26141Las Vegas5Thunder4LXSommaire du match
22 - 2025-10-28156Thunder5Jayhawks1WSommaire du match
24 - 2025-10-30169Stars10Thunder4LSommaire du match
27 - 2025-11-02194Thunder4Roadrunners3WSommaire du match
29 - 2025-11-04209Thunder5Monsters8LSommaire du match
31 - 2025-11-06225Thunder9Las Vegas5WSommaire du match
33 - 2025-11-08236Bears4Thunder3LXXSommaire du match
37 - 2025-11-12265Wolf Pack5Thunder4LXSommaire du match
40 - 2025-11-15283Thunder4Cabaret Lady Mary Ann8LSommaire du match
41 - 2025-11-16297Comets5Thunder4LXSommaire du match
43 - 2025-11-18309Spiders3Thunder4WSommaire du match
45 - 2025-11-20322Oil Kings9Thunder1LSommaire du match
47 - 2025-11-22341Thunder3Bears7LSommaire du match
49 - 2025-11-24353Phantoms6Thunder2LSommaire du match
51 - 2025-11-26362Heat5Thunder4LXXSommaire du match
53 - 2025-11-28377Thunder4Cougars7LSommaire du match
54 - 2025-11-29391Thunder3Wolf Pack9LSommaire du match
57 - 2025-12-02414Thunder6Sound Tigers7LSommaire du match
59 - 2025-12-04428Manchots3Thunder5WSommaire du match
61 - 2025-12-06446Sound Tigers4Thunder8WSommaire du match
63 - 2025-12-08461Thunder3Marlies7LSommaire du match
64 - 2025-12-09466Thunder1Rocket3LSommaire du match
66 - 2025-12-11481Thunder5Spiders6LSommaire du match
68 - 2025-12-13498Thunder1Sound Tigers5LSommaire du match
70 - 2025-12-15514Cabaret Lady Mary Ann-Thunder-
73 - 2025-12-18538Monarchs-Thunder-
75 - 2025-12-20557Caroline-Thunder-
77 - 2025-12-22571Chiefs-Thunder-
82 - 2025-12-27591Thunder-Cabaret Lady Mary Ann-
83 - 2025-12-28602Rocket-Thunder-
86 - 2025-12-31624Thunder-Admirals-
87 - 2026-01-01639Thunder-Monarchs-
89 - 2026-01-03649Thunder-Sags-
92 - 2026-01-06668Monsters-Thunder-
96 - 2026-01-10705Thunder-Phantoms-
98 - 2026-01-12719Thunder-Phantoms-
99 - 2026-01-13726Thunder-Manchots-
102 - 2026-01-16751Thunder-Chiefs-
104 - 2026-01-18767Thunder-Stars-
106 - 2026-01-20781Sags-Thunder-
109 - 2026-01-23803Thunder-Baby Hawks-
110 - 2026-01-24814Thunder-Monsters-
112 - 2026-01-26825Roadrunners-Thunder-
115 - 2026-01-29847Oceanics-Thunder-
118 - 2026-02-01873Bruins-Thunder-
120 - 2026-02-03886Crunch-Thunder-
122 - 2026-02-05904Cabaret Lady Mary Ann-Thunder-
142 - 2026-02-25912Marlies-Thunder-
143 - 2026-02-26923Thunder-Caroline-
145 - 2026-02-28941Crunch-Thunder-
148 - 2026-03-03967Thunder-Minnesota-
150 - 2026-03-05980Thunder-Oceanics-
152 - 2026-03-07994Thunder-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081003Thunder-Crunch-
155 - 2026-03-101015Monsters-Thunder-
157 - 2026-03-121030Cougars-Thunder-
159 - 2026-03-141049Caroline-Thunder-
162 - 2026-03-171076Thunder-Firebirds-
164 - 2026-03-191090Thunder-Comets-
166 - 2026-03-211109Thunder-Oil Kings-
167 - 2026-03-221116Thunder-Heat-
169 - 2026-03-241127Minnesota-Thunder-
171 - 2026-03-261139Firebirds-Thunder-
173 - 2026-03-281152Senators-Thunder-
174 - 2026-03-291168Jayhawks-Thunder-
176 - 2026-03-311180Rocket-Thunder-
178 - 2026-04-021192Manchots-Thunder-
180 - 2026-04-041210Bruins-Thunder-
182 - 2026-04-061229Thunder-Crunch-
183 - 2026-04-071234Thunder-Senators-
185 - 2026-04-091248Thunder-Rocket-
187 - 2026-04-111261Thunder-Bruins-
189 - 2026-04-131282Cougars-Thunder-
191 - 2026-04-151302Wolf Pack-Thunder-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance28,68814,494
Assistance PCT95.63%96.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-11 2879 - 95.96% 97,719$1,465,788$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
689,556$ 2,019,617$ 2,019,617$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,464$ 689,556$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,540,699$ 125 10,464$ 1,308,000$




Thunder 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

Thunder 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

Thunder 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

Thunder 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

Thunder 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