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Connexion

Heat
GP: 12 | W: 6 | L: 5 | OTL: 1 | P: 13
GF: 70 | GA: 64 | PP%: 52.78% | PK%: 61.11%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #183 vs Jayhawks

Centre de jeu
Heat
6-5-1, 13pts
2
FINAL
5 Marlies
8-2-1, 17pts
Team Stats
W1SéquenceW5
3-1-1Fiche domicile5-2-1
3-4-0Fiche domicile3-0-0
6-3-1Derniers 10 matchs7-2-1
5.83Buts par match 6.27
5.33Buts contre par match 4.91
52.78%Pourcentage en avantage numérique28.95%
61.11%Pourcentage en désavantage numérique62.07%
Heat
6-5-1, 13pts
8
FINAL
7 Senators
5-7-0, 10pts
Team Stats
W1SéquenceL2
3-1-1Fiche domicile2-5-0
3-4-0Fiche domicile3-2-0
6-3-1Derniers 10 matchs4-6-0
5.83Buts par match 3.67
5.33Buts contre par match 4.08
52.78%Pourcentage en avantage numérique45.71%
61.11%Pourcentage en désavantage numérique62.07%
Heat
6-5-1, 13pts
2025-11-01
Jayhawks
4-8-0, 8pts
Statistiques d’équipe
W1SéquenceL3
3-1-1Fiche domicile2-5-0
3-4-0Fiche visiteur2-3-0
6-3-110 derniers matchs3-7-0
5.83Buts par match 2.67
5.33Buts contre par match 2.67
52.78%Pourcentage en avantage numérique9.52%
61.11%Pourcentage en désavantage numérique44.44%
Heat
6-5-1, 13pts
2025-11-02
Phantoms
8-1-1, 17pts
Statistiques d’équipe
W1SéquenceW1
3-1-1Fiche domicile5-1-1
3-4-0Fiche visiteur3-0-0
6-3-110 derniers matchs8-1-1
5.83Buts par match 5.40
5.33Buts contre par match 5.40
52.78%Pourcentage en avantage numérique38.46%
61.11%Pourcentage en désavantage numérique88.89%
Monsters
5-5-0, 10pts
2025-11-05
Heat
6-5-1, 13pts
Statistiques d’équipe
L1SéquenceW1
2-3-0Fiche domicile3-1-1
3-2-0Fiche visiteur3-4-0
5-5-010 derniers matchs6-3-1
4.80Buts par match 5.83
4.00Buts contre par match 5.83
30.00%Pourcentage en avantage numérique52.78%
74.07%Pourcentage en désavantage numérique61.11%
Meneurs d'équipe
Buts
Zach Dean
14
Passes
Jonathan Lekkerimäki
24
Points
Jonathan Lekkerimäki
37
Plus/Moins
Zach Dean
8

Statistiques d’équipe
Buts pour
70
5.83 GFG
Tirs pour
375
31.25 Avg
Pourcentage en avantage numérique
52.8%
19 GF
Début de zone offensive
36.9%
Buts contre
64
5.33 GAA
Tirs contre
326
27.17 Avg
Pourcentage en désavantage numérique
61.1%%
14 GA
Début de la zone défensive
28.7%
Informations de l'équipe

Directeur généralMartin Bétit
DivisionWest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,876
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs16


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
1Jonathan Lekkerimäki (R)X100.00604074696975626440616261655150050620203918,333$
2John Farinacci (R)X100.00614073656366646349635662615250050600231700,000$
3Jagger Firkus (R)X100.00584167675761606242615859625050050590203891,667$
4Jani Nyman (R)X100.00644265626758576242596259625050050590203891,667$
5Zach Dean (R)XXX100.00584170656260585641525356585050050560212852,500$
6Alex Campbell (R)X100.00554069655561585548525254575250050550231700,000$
7Zakhar Bardakov (R)X100.00373737373737373737373737373737050380233750,000$
8Ville Heinola (R)X100.00584172747075666540615968666559050650231900,000$
9Ryan Johnson (R)X100.00624371687070636540605668635250050630231825,000$
10Jeremie Poirier (R)X100.00604665666565636440635566615150050620221823,333$
Rayé
1Jack Studnicka (R)XX100.00634571716775716753636063667054050640251750,000$
2Riley TufteX100.006851606373686765446261666355500506202621,000,000$
3Grigori Denisenko (R)X100.00544961656266656544635951635350050590244900,000$
4Skyler Brind'Amour (R)X100.00554368636266646042545751605250050570251750,000$
5Theodor Niederbach (R)XS1525554545551515254515154535555050530222825,000$
6Alexandr Darin (R)X100.00373793626239523044252735335858050410241650,000$
7Jacob MoverareX100.006341847384797468406462716862530506802621,325,000$
8Riley StillmanX100.00584863656568655940535562597051050600261750,000$
9Nicolas BeaudinX100.00554466666057555539524764575250050570242650,000$
10Mattias Norlinder (R)X100.00534169656159585639524956585250050560241700,000$
MOYENNE D’ÉQUIPE100.0057436864636361594355545859545105058
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
1Dylan Garand (R)100.0073636861687074697270565150050630223700,000$
2Domenic DiVincentiis (R)100.0067616265656668666664565050050600203830,556$
3Jacob Fowler (R)100.0063575765626262606260545050050560193923,333$
4Gage Alexander (R)100.0058555369585860525553485042050530221810,000$
Rayé
1Michael DiPietro (R)100.0074656965717274737371595450050650251800,000$
MOYENNE D’ÉQUIPE100.006760626565666864666455514805059
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
1Jonathan LekkerimäkiHeat (Cal)RW12132437740191663164320.63%627623.04561113240001290140.43%9487012.6800000322
2John FarinacciHeat (Cal)C1211182982315181841102826.83%526422.042794240001260053.87%32382012.1900111203
3Wyatt KaiserCalgaryD1032023-6151511164018137.50%1626226.2327911250000261050.00%21920001.7500102002
4Zach DeanHeat (Cal)C/LW/RW1214519811510102661053.85%524420.33437424101172069.57%2338021.5600010121
5Jagger FirkusHeat (Cal)RW1210616-34010657193017.54%621317.82000001012112050.00%288011.5000000220
6Ville HeinolaHeat (Cal)D123710-5115101530101010.00%1730325.31224828011024000%0515000.6600001001
7Alex CampbellHeat (Cal)C12459-14011151961121.05%421618.042133160110140053.51%11449000.8300000010
8Ryan JohnsonHeat (Cal)D12178-22010712878.33%1223619.700222130110191066.67%317000.6800000000
9Theodor NiederbachHeat (Cal)RW122680395111483725.00%420317.00033115000000050.00%1018000.7800100100
10Zakhar BardakovHeat (Cal)C12448-412017182211118.18%221718.1600001000050043.66%7104000.7300000010
11Jani NymanHeat (Cal)RW12336-4201912318169.68%320817.401235160001120057.14%14107000.5700000000
12Jeremie PoirierHeat (Cal)D12145-111531115656.67%621618.03101113000020000%1113000.4600001010
Statistiques d’équipe totales ou en moyenne14269109178-31385014915836411119118.96%86286420.171933525220323561986151.29%65768108051.2400325999
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
Alex CampbellHeat (Cal)C232001-02-27CANYes150 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Alexandr DarinHeat (Cal)RW242000-08-16RUSYes170 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Domenic DiVincentiisHeat (Cal)G202004-03-04CANYes201 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm830,556$0$0$No830,556$830,556$-------830,556$830,556$-------NoNo-------Lien
Dylan GarandHeat (Cal)G222002-06-07CANYes176 Lbs6 ft1NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Gage AlexanderHeat (Cal)G222002-07-02CANYes205 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm810,000$0$0$No---------------------------Lien
Grigori DenisenkoHeat (Cal)LW242000-06-24RUSYes185 Lbs5 ft11NoNoFree AgentNoYes42025-08-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien
Jack StudnickaHeat (Cal)C/RW251999-02-18CANYes172 Lbs6 ft1NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jacob FowlerHeat (Cal)G192004-11-24USAYes201 Lbs6 ft2NoNoTrade2025-07-18NoNo32025-07-10FalseFalsePro & Farm923,333$0$0$No923,333$923,333$-------923,333$923,333$-------NoNo-------Lien
Jacob MoverareHeat (Cal)D261998-08-31SWENo210 Lbs6 ft3NoNoFree AgentYesYes22025-08-29FalseFalsePro & Farm1,325,000$0$0$No1,325,000$--------1,325,000$--------No--------Lien
Jagger FirkusHeat (Cal)RW202004-04-29CANYes163 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm891,667$0$0$No891,667$891,667$-------891,667$891,667$-------NoNo-------Lien
Jani NymanHeat (Cal)RW202004-07-30FINYes216 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm891,667$0$0$No891,667$891,667$-------891,667$891,667$-------NoNo-------Lien
Jeremie PoirierHeat (Cal)D222002-06-02CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm823,333$0$0$No---------------------------Lien
John FarinacciHeat (Cal)C232001-02-14USAYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jonathan LekkerimäkiHeat (Cal)RW202004-07-24SWEYes172 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Mattias NorlinderHeat (Cal)D242000-04-12SWEYes179 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Michael DiPietroHeat (Cal)G251999-06-09CANYes201 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nicolas BeaudinHeat (Cal)D241999-10-07CANNo188 Lbs5 ft11NoNoFree AgentNoYes22024-09-04FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Riley StillmanHeat (Cal)D261998-03-09CANNo196 Lbs6 ft1NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Riley TufteHeat (Cal)LW261998-04-10USANo220 Lbs6 ft6NoNoFree AgentYesYes22024-09-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Ryan JohnsonHeat (Cal)D232001-07-24USAYes194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Skyler Brind'AmourHeat (Cal)C251999-07-27USAYes174 Lbs6 ft2NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Theodor NiederbachHeat (Cal)RW222002-02-25SWEYes172 Lbs5 ft10NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Ville HeinolaHeat (Cal)D232001-03-02FINYes181 Lbs6 ft0NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Zach DeanHeat (Cal)C/LW/RW212003-01-04CANYes176 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm852,500$0$0$No852,500$--------852,500$--------No--------Lien
Zakhar BardakovHeat (Cal)C232001-02-24RUSYes209 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.88188 Lbs6 ft11.88824,656$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach DeanJohn FarinacciJonathan Lekkerimäki40122
2Alex CampbellJani Nyman30122
3Zakhar BardakovJagger Firkus20122
4John FarinacciJonathan Lekkerimäki10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville Heinola40122
2Ryan JohnsonJeremie Poirier30122
320122
4Ville Heinola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach DeanJohn FarinacciJonathan Lekkerimäki60122
2Alex CampbellJani Nyman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville Heinola60122
2Ryan JohnsonJeremie Poirier40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan LekkerimäkiJohn Farinacci60122
2Jani NymanJagger Firkus40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville Heinola60122
2Ryan JohnsonJeremie Poirier40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonathan Lekkerimäki60122Ville Heinola60122
2John Farinacci40122Ryan JohnsonJeremie Poirier40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan LekkerimäkiJohn Farinacci60122
2Jani NymanJagger Firkus40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville Heinola60122
2Ryan JohnsonJeremie Poirier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach DeanJohn FarinacciJonathan LekkerimäkiVille Heinola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach DeanJohn FarinacciJonathan LekkerimäkiVille Heinola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zakhar Bardakov, Zach Dean, Alex CampbellZakhar Bardakov, Zach DeanAlex Campbell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Jeremie Poirier, Ryan JohnsonJeremie Poirier,
Tirs de pénalité
Jonathan Lekkerimäki, John Farinacci, Jani Nyman, Jagger Firkus, Zach Dean
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
1Chiefs11000000725110000007250000000000021.000712190016292503710212314912112614000%3166.67%012924452.87%8919046.84%12122753.30%228114265106230120
2Comets10100000510-50000000000010100000510-500.000510150016292502410212314912514714300.00%10100.00%012924452.87%8919046.84%12122753.30%228114265106230120
3Las Vegas20100100710-31000010034-11010000046-210.25071421001629250531021231491572183210550.00%40100.00%012924452.87%8919046.84%12122753.30%228114265106230120
4Marlies1010000025-3000000000001010000025-300.00024600162925024102123149138106122150.00%3166.67%012924452.87%8919046.84%12122753.30%228114265106230120
5Oceanics220000001697110000008711100000082641.000162945001629250731021231491732248376583.33%9366.67%112924452.87%8919046.84%12122753.30%228114265106230120
6Oil Kings1010000024-2000000000001010000024-200.000235001629250211021231491193413100.00%20100.00%012924452.87%8919046.84%12122753.30%228114265106230120
7Roadrunners11000000936000000000001100000093621.000913220016292503110212314912291265480.00%110.00%112924452.87%8919046.84%12122753.30%228114265106230120
8Rocket1100000011741100000011740000000000021.000112031001629250431021231491191017126350.00%6433.33%012924452.87%8919046.84%12122753.30%228114265106230120
9Senators11000000871000000000001100000087121.0008111900162925031102123149120831122150.00%3233.33%012924452.87%8919046.84%12122753.30%228114265106230120
10Wolf Pack1010000037-41010000037-40000000000000.0003470016292503810212314913271323100.00%4250.00%012924452.87%8919046.84%12122753.30%228114265106230120
Total1265001007064653100100322757340000038371130.542701201900016292503751021231491326116152175361952.78%361461.11%212924452.87%8919046.84%12122753.30%228114265106230120
_Since Last GM Reset1265001007064653100100322757340000038371130.542701201900016292503751021231491326116152175361952.78%361461.11%212924452.87%8919046.84%12122753.30%228114265106230120
_Vs Conference623001003233-13200010021138303000001120-950.417325991001629250178102123149114160428520840.00%16568.75%012924452.87%8919046.84%12122753.30%228114265106230120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1213W17012019037532611615217500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126501007064
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53101003227
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400003837
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
361952.78%361461.11%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
10212314911629250
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
12924452.87%8919046.84%12122753.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
228114265106230120


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-10-086Heat2Oil Kings4LSommaire du match
3 - 2025-10-0919Heat5Comets10LSommaire du match
5 - 2025-10-1123Chiefs2Heat7WSommaire du match
8 - 2025-10-1453Las Vegas4Heat3LXSommaire du match
9 - 2025-10-1560Heat9Roadrunners3WSommaire du match
12 - 2025-10-1887Heat4Las Vegas6LSommaire du match
14 - 2025-10-2096Oceanics7Heat8WSommaire du match
16 - 2025-10-22110Rocket7Heat11WSommaire du match
18 - 2025-10-24126Heat8Oceanics2WSommaire du match
20 - 2025-10-26146Wolf Pack7Heat3LSommaire du match
22 - 2025-10-28151Heat2Marlies5LSommaire du match
24 - 2025-10-30168Heat8Senators7WSommaire du match
26 - 2025-11-01183Heat-Jayhawks-
27 - 2025-11-02196Heat-Phantoms-
30 - 2025-11-05215Monsters-Heat-
32 - 2025-11-07229Baby Hawks-Heat-
34 - 2025-11-09249Heat-Minnesota-
36 - 2025-11-11260Heat-Chiefs-
38 - 2025-11-13276Sags-Heat-
40 - 2025-11-15294Oceanics-Heat-
43 - 2025-11-18312Heat-Baby Hawks-
44 - 2025-11-19316Heat-Crunch-
47 - 2025-11-22345Stars-Heat-
48 - 2025-11-23352Heat-Comets-
51 - 2025-11-26362Heat-Thunder-
53 - 2025-11-28380Heat-Cabaret Lady Mary Ann-
55 - 2025-11-30404Heat-Caroline-
57 - 2025-12-02416Heat-Jayhawks-
59 - 2025-12-04433Minnesota-Heat-
61 - 2025-12-06448Roadrunners-Heat-
63 - 2025-12-08463Crunch-Heat-
65 - 2025-12-10477Cougars-Heat-
68 - 2025-12-13507Heat-Monarchs-
71 - 2025-12-16527Heat-Sags-
73 - 2025-12-18542Firebirds-Heat-
75 - 2025-12-20559Las Vegas-Heat-
78 - 2025-12-23585Heat-Oil Kings-
82 - 2025-12-27598Oil Kings-Heat-
84 - 2025-12-29613Bruins-Heat-
86 - 2025-12-31630Phantoms-Heat-
89 - 2026-01-03654Jayhawks-Heat-
91 - 2026-01-05665Firebirds-Heat-
93 - 2026-01-07678Heat-Rocket-
94 - 2026-01-08682Heat-Bruins-
96 - 2026-01-10698Heat-Manchots-
99 - 2026-01-13728Heat-Monsters-
101 - 2026-01-15745Heat-Baby Hawks-
103 - 2026-01-17756Sound Tigers-Heat-
105 - 2026-01-19777Spiders-Heat-
107 - 2026-01-21791Manchots-Heat-
109 - 2026-01-23806Bears-Heat-
111 - 2026-01-25824Admirals-Heat-
115 - 2026-01-29853Heat-Minnesota-
117 - 2026-01-31863Sags-Heat-
119 - 2026-02-02885Marlies-Heat-
121 - 2026-02-04900Oil Kings-Heat-
143 - 2026-02-26928Heat-Sags-
145 - 2026-02-28944Heat-Monarchs-
146 - 2026-03-01952Heat-Admirals-
148 - 2026-03-03965Stars-Heat-
150 - 2026-03-05981Senators-Heat-
152 - 2026-03-07998Caroline-Heat-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091009Heat-Bears-
155 - 2026-03-101017Heat-Wolf Pack-
157 - 2026-03-121032Heat-Spiders-
159 - 2026-03-141051Heat-Sound Tigers-
161 - 2026-03-161063Heat-Cougars-
163 - 2026-03-181081Chiefs-Heat-
165 - 2026-03-201097Cabaret Lady Mary Ann-Heat-
167 - 2026-03-221116Thunder-Heat-
169 - 2026-03-241133Monarchs-Heat-
171 - 2026-03-261147Admirals-Heat-
173 - 2026-03-281165Comets-Heat-
175 - 2026-03-301174Heat-Monsters-
178 - 2026-04-021201Heat-Las Vegas-
180 - 2026-04-041219Heat-Admirals-
183 - 2026-04-071239Heat-Stars-
185 - 2026-04-091256Heat-Monsters-
187 - 2026-04-111273Heat-Firebirds-
188 - 2026-04-121281Roadrunners-Heat-
190 - 2026-04-141298Monsters-Heat-
192 - 2026-04-161310Monarchs-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance9,5714,808
Assistance PCT95.71%96.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 2876 - 95.86% 97,705$488,526$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
277,025$ 2,061,639$ 2,061,639$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,682$ 277,025$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,517,387$ 168 10,682$ 1,794,576$




Heat 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

Heat 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

Heat 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

Heat 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

Heat 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