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Connexion

Thunder
GP: 25 | W: 7 | L: 13 | OTL: 5 | P: 19
GF: 99 | GA: 148 | PP%: 22.41% | PK%: 51.09%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #414 vs Sound Tigers

Centre de jeu
Thunder
7-13-5, 19pts
4
FINAL
7 Cougars
8-14-4, 20pts
Team Stats
L2SéquenceL1
3-5-5Fiche domicile4-9-2
4-8-0Fiche domicile4-5-2
1-6-3Derniers 10 matchs4-6-0
3.96Buts par match 4.00
5.92Buts contre par match 5.42
22.41%Pourcentage en avantage numérique33.33%
51.09%Pourcentage en désavantage numérique66.67%
Thunder
7-13-5, 19pts
3
FINAL
9 Wolf Pack
18-9-0, 36pts
Team Stats
L2SéquenceW1
3-5-5Fiche domicile7-4-0
4-8-0Fiche domicile11-5-0
1-6-3Derniers 10 matchs6-4-0
3.96Buts par match 4.33
5.92Buts contre par match 3.22
22.41%Pourcentage en avantage numérique36.59%
51.09%Pourcentage en désavantage numérique75.44%
Thunder
7-13-5, 19pts
2025-12-02
Sound Tigers
12-8-5, 29pts
Statistiques d’équipe
L2SéquenceOTL1
3-5-5Fiche domicile5-3-4
4-8-0Fiche visiteur7-5-1
1-6-310 derniers matchs7-2-1
3.96Buts par match 3.88
5.92Buts contre par match 3.88
22.41%Pourcentage en avantage numérique27.12%
51.09%Pourcentage en désavantage numérique66.04%
Manchots
17-6-1, 35pts
2025-12-04
Thunder
7-13-5, 19pts
Statistiques d’équipe
W2SéquenceL2
8-4-0Fiche domicile3-5-5
9-2-1Fiche visiteur4-8-0
6-4-010 derniers matchs1-6-3
4.29Buts par match 3.96
3.13Buts contre par match 3.96
25.97%Pourcentage en avantage numérique22.41%
71.93%Pourcentage en désavantage numérique51.09%
Sound Tigers
12-8-5, 29pts
2025-12-06
Thunder
7-13-5, 19pts
Statistiques d’équipe
OTL1SéquenceL2
5-3-4Fiche domicile3-5-5
7-5-1Fiche visiteur4-8-0
7-2-110 derniers matchs1-6-3
3.88Buts par match 3.96
3.72Buts contre par match 3.96
27.12%Pourcentage en avantage numérique22.41%
66.04%Pourcentage en désavantage numérique51.09%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
99
3.96 GFG
Tirs pour
596
23.84 Avg
Pourcentage en avantage numérique
22.4%
13 GF
Début de zone offensive
29.5%
Buts contre
148
5.92 GAA
Tirs contre
636
25.44 Avg
Pourcentage en désavantage numérique
51.1%%
45 GA
Début de la zone défensive
30.7%
Informations de l'équipe

Directeur généralJean-Francois Lemelin
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$129,637$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
1Admirals1010000008-81010000008-80000000000000.000000001734472261532112231527111517500.00%550.00%016336245.03%14137737.40%20448841.80%622435487222410175
2Baby Hawks10001000651100010006510000000000021.00061218001734472341532112231533961611100.00%3166.67%016336245.03%14137737.40%20448841.80%622435487222410175
3Bears30200001921-121000000134-120200000617-1110.16791827001734472771532112231588342733400.00%11554.55%016336245.03%14137737.40%20448841.80%622435487222410175
4Bruins1010000045-1000000000001010000045-100.000471100173447225153211223151994123133.33%3166.67%016336245.03%14137737.40%20448841.80%622435487222410175
5Cabaret Lady Mary Ann1010000048-4000000000001010000048-400.0004812001734472151532112231528686100.00%4250.00%016336245.03%14137737.40%20448841.80%622435487222410175
6Comets1000010045-11000010045-10000000000010.50047110017344721815321122315241048200.00%2150.00%016336245.03%14137737.40%20448841.80%622435487222410175
7Cougars211000001413100000000000211000001413120.5001427410017344725415321122315621314242150.00%7442.86%116336245.03%14137737.40%20448841.80%622435487222410175
8Heat1000000145-11000000145-10000000000010.500481200173447223153211223152264113133.33%20100.00%016336245.03%14137737.40%20448841.80%622435487222410175
9Jayhawks11000000514000000000001100000051421.0005101500173447221153211223151844216466.67%2150.00%016336245.03%14137737.40%20448841.80%622435487222410175
10Las Vegas21000100131031000010045-11100000095430.750132538001734472411532112231532119336116.67%20100.00%116336245.03%14137737.40%20448841.80%622435487222410175
11Monsters1010000024-2000000000001010000024-200.000246001734472181532112231514688100.00%4175.00%016336245.03%14137737.40%20448841.80%622435487222410175
12Monsters1010000058-3000000000001010000058-300.00051015001734472351532112231525583113133.33%4325.00%016336245.03%14137737.40%20448841.80%622435487222410175
13Oil Kings1010000019-81010000019-80000000000000.000123001734472231532112231539131913100.00%7528.57%016336245.03%14137737.40%20448841.80%622435487222410175
14Phantoms1010000026-41010000026-40000000000000.000246001734472221532112231536121514200.00%5340.00%016336245.03%14137737.40%20448841.80%622435487222410175
15Roadrunners11000000431000000000001100000043121.000481200173447222153211223152124104125.00%20100.00%016336245.03%14137737.40%20448841.80%622435487222410175
16Senators11000000312110000003120000000000021.000369001734472221532112231583810300.00%4175.00%016336245.03%14137737.40%20448841.80%622435487222410175
17Spiders21100000812-421100000812-40000000000020.500816240017344725115321122315561922274125.00%11463.64%116336245.03%14137737.40%20448841.80%622435487222410175
18Stars10100000410-610100000410-60000000000000.000481200173447221153211223153791893133.33%4325.00%016336245.03%14137737.40%20448841.80%622435487222410175
19Wolf Pack20100100714-71000010045-11010000039-610.25071421001734472481532112231547172524400.00%10550.00%116336245.03%14137737.40%20448841.80%622435487222410175
Total256130130299148-491325013024375-321248000005673-17190.3809919429300173447259615321122315636199297307581322.41%924551.09%416336245.03%14137737.40%20448841.80%622435487222410175
_Since Last GM Reset256130130299148-491325013024375-321248000005673-17190.3809919429300173447259615321122315636199297307581322.41%924551.09%416336245.03%14137737.40%20448841.80%622435487222410175
_Vs Conference1338001013974-35723001012036-16615000001938-1980.30839771160017344723111532112231531611312815530310.00%552554.55%216336245.03%14137737.40%20448841.80%622435487222410175

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2519L29919429359663619929730700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25613130299148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
132513024375
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124800005673
Derniers 10 matchs
WLOTWOTL SOWSOL
160201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
581322.41%924551.09%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
153211223151734472
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
16336245.03%14137737.40%20448841.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
622435487222410175


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 - 2025-12-02414Thunder-Sound Tigers-
59 - 2025-12-04428Manchots-Thunder-
61 - 2025-12-06446Sound Tigers-Thunder-
63 - 2025-12-08461Thunder-Marlies-
64 - 2025-12-09466Thunder-Rocket-
66 - 2025-12-11481Thunder-Spiders-
68 - 2025-12-13498Thunder-Sound Tigers-
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
Assistance24,88312,549
Assistance PCT95.70%96.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-9 2879 - 95.98% 97,767$1,270,968$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
543,060$ 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$ 543,060$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,737,470$ 139 10,464$ 1,454,496$




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