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Connexion

Heat
GP: 33 | W: 15 | L: 16 | OTL: 2 | P: 32
GF: 180 | GA: 182 | PP%: 49.38% | PK%: 65.31%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #527 vs Sags

Centre de jeu
Cougars
9-20-4, 22pts
3
FINAL
5 Heat
15-16-2, 32pts
Team Stats
L3SéquenceW3
4-10-2Fiche domicile7-6-1
5-10-2Fiche domicile8-10-1
3-7-0Derniers 10 matchs5-4-1
3.82Buts par match 5.45
5.45Buts contre par match 5.52
32.61%Pourcentage en avantage numérique49.38%
65.33%Pourcentage en désavantage numérique65.31%
Heat
15-16-2, 32pts
9
FINAL
2 Monarchs
8-21-2, 18pts
Team Stats
W3SéquenceL6
7-6-1Fiche domicile2-11-1
8-10-1Fiche domicile6-10-1
5-4-1Derniers 10 matchs0-9-1
5.45Buts par match 3.48
5.52Buts contre par match 5.77
49.38%Pourcentage en avantage numérique15.96%
65.31%Pourcentage en désavantage numérique57.58%
Heat
15-16-2, 32pts
2025-12-16
Sags
20-9-4, 44pts
Statistiques d’équipe
W3SéquenceW1
7-6-1Fiche domicile12-3-2
8-10-1Fiche visiteur8-6-2
5-4-110 derniers matchs5-4-1
5.45Buts par match 4.42
5.52Buts contre par match 4.42
49.38%Pourcentage en avantage numérique28.21%
65.31%Pourcentage en désavantage numérique63.89%
Firebirds
15-10-4, 34pts
2025-12-18
Heat
15-16-2, 32pts
Statistiques d’équipe
W2SéquenceW3
4-8-3Fiche domicile7-6-1
11-2-1Fiche visiteur8-10-1
6-4-010 derniers matchs5-4-1
4.03Buts par match 5.45
3.52Buts contre par match 5.45
37.08%Pourcentage en avantage numérique49.38%
69.44%Pourcentage en désavantage numérique65.31%
Las Vegas
8-19-4, 20pts
2025-12-20
Heat
15-16-2, 32pts
Statistiques d’équipe
L1SéquenceW3
4-9-2Fiche domicile7-6-1
4-10-2Fiche visiteur8-10-1
2-6-210 derniers matchs5-4-1
3.94Buts par match 5.45
5.13Buts contre par match 5.45
27.54%Pourcentage en avantage numérique49.38%
57.41%Pourcentage en désavantage numérique65.31%
Meneurs d'équipe
Buts
Jonathan Lekkerimäki
35
Passes
John Farinacci
43
Points
Jonathan Lekkerimäki
77
Plus/Moins
Jagger Firkus
8

Statistiques d’équipe
Buts pour
180
5.45 GFG
Tirs pour
1054
31.94 Avg
Pourcentage en avantage numérique
49.4%
40 GF
Début de zone offensive
34.9%
Buts contre
182
5.52 GAA
Tirs contre
946
28.67 Avg
Pourcentage en désavantage numérique
65.3%%
34 GA
Début de la zone défensive
28.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,854
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)X100.00525554545551515254515154535555050530222825,000$
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)RW33354277-73954439181399919.34%1474922.728122024533035772251.02%2453319032.0511010644
2John FarinacciHeat (Cal)C33234366-649254559131396917.56%1572822.097111813510222710053.52%8802623011.8111122334
3Jagger FirkusHeat (Cal)RW3324194381352724136338617.65%1454816.61022132133302053.85%133521011.5700100422
4Ville HeinolaHeat (Cal)D3393342-12610224710538548.57%4687126.4277142170022172100%03038000.9600002222
5Jani NymanHeat (Cal)RW33182038-1128103937109357316.51%1060318.28471112440002301151.22%413516011.2600020500
6Alex CampbellHeat (Cal)C33152035-760333989324616.85%2161818.7446108460110402056.77%3032117001.1300000043
7Zach DeanHeat (Cal)C/LW/RW33201030-113010332659183833.90%1264619.585498521011282056.34%711118020.9300011121
8Ryan JohnsonHeat (Cal)D3342125-126022184616258.70%3564119.441344320110561040.00%5835000.7800000002
9Wyatt KaiserCalgaryD1032023-6151511164018137.50%1626226.2327911250000261050.00%21920001.7500102002
10Jeremie PoirierHeat (Cal)D3331417-9281015333320139.09%3259818.13123528011059000%1832100.5700011011
11Zakhar BardakovHeat (Cal)C338614539538273431923.53%756117.02101170000221044.00%20028000.5000001030
12Theodor NiederbachHeat (Cal)RW122680395111483725.00%420317.00033115000000050.00%1018000.7800100100
Statistiques d’équipe totales ou en moyenne352164254418-5731810034037997129454216.89%226703419.98406410410943168141451713352.63%1771229255181.1922479222121
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
1Baby Hawks20200000716-910100000510-51010000026-400.00071219003674683602843554125692326262150.00%8362.50%133363052.86%26452150.67%34865253.37%621327752297617305
2Cabaret Lady Mary Ann11000000835000000000001100000083521.0008122000367468333284355412523911123266.67%30100.00%133363052.86%26452150.67%34865253.37%621327752297617305
3Caroline1000010056-1000000000001000010056-110.500561100367468332284355412528122184375.00%10100.00%033363052.86%26452150.67%34865253.37%621327752297617305
4Chiefs21100000963110000007251010000024-220.5009162500367468360284355412544171030100.00%5180.00%033363052.86%26452150.67%34865253.37%621327752297617305
5Comets20200000919-100000000000020200000919-1000.0009162500367468366284355412566291725400.00%6433.33%033363052.86%26452150.67%34865253.37%621327752297617305
6Cougars11000000532110000005320000000000021.0005914003674683282843554125251181911100.00%4175.00%133363052.86%26452150.67%34865253.37%621327752297617305
7Crunch21100000171251100000012571010000057-220.500172643003674683682843554125571425173266.67%5180.00%033363052.86%26452150.67%34865253.37%621327752297617305
8Jayhawks211000001312100000000000211000001312120.500132033003674683682843554125572218176350.00%9366.67%033363052.86%26452150.67%34865253.37%621327752297617305
9Las Vegas20100100710-31000010034-11010000046-210.25071421003674683532843554125572183210550.00%40100.00%033363052.86%26452150.67%34865253.37%621327752297617305
10Marlies1010000025-3000000000001010000025-300.00024600367468324284355412538106122150.00%3166.67%033363052.86%26452150.67%34865253.37%621327752297617305
11Minnesota20101000910-11010000057-21000100043120.5009162500367468353284355412550192226100.00%6183.33%033363052.86%26452150.67%34865253.37%621327752297617305
12Monarchs11000000927000000000001100000092721.0009152400367468316284355412525935145360.00%50100.00%133363052.86%26452150.67%34865253.37%621327752297617305
13Monsters1010000046-21010000046-20000000000000.00047110036746834628435541251685204125.00%000%033363052.86%26452150.67%34865253.37%621327752297617305
14Oceanics330000002213922000000141131100000082661.00022396100367468310728435541251083562488675.00%11372.73%133363052.86%26452150.67%34865253.37%621327752297617305
15Oil Kings1010000024-2000000000001010000024-200.000235003674683212843554125193413100.00%20100.00%033363052.86%26452150.67%34865253.37%621327752297617305
16Phantoms1010000039-6000000000001010000039-600.000358003674683452843554125259119000%3233.33%033363052.86%26452150.67%34865253.37%621327752297617305
17Roadrunners21100000141041010000057-21100000093620.500142034003674683612843554125742712208562.50%110.00%133363052.86%26452150.67%34865253.37%621327752297617305
18Rocket1100000011741100000011740000000000021.000112031003674683432843554125191017126350.00%6433.33%033363052.86%26452150.67%34865253.37%621327752297617305
19Sags1010000038-51010000038-50000000000000.000369003674683342843554125331713164250.00%4250.00%033363052.86%26452150.67%34865253.37%621327752297617305
20Senators11000000871000000000001100000087121.0008111900367468331284355412520831122150.00%3233.33%033363052.86%26452150.67%34865253.37%621327752297617305
21Stars11000000532110000005320000000000021.00059140036746834528435541253874143133.33%220.00%033363052.86%26452150.67%34865253.37%621327752297617305
22Thunder10000010541000000000001000001054121.0005611003674683222843554125235616200.00%3166.67%133363052.86%26452150.67%34865253.37%621327752297617305
23Wolf Pack1010000037-41010000037-40000000000000.0003470036746833828435541253271323100.00%4250.00%033363052.86%26452150.67%34865253.37%621327752297617305
Total33131601210180182-214760010082802196100111098102-4320.48518029647600367468310542843554125946332366451814049.38%983465.31%733363052.86%26452150.67%34865253.37%621327752297617305
_Since Last GM Reset33131601210180182-214760010082802196100111098102-4320.48518029647600367468310542843554125946332366451814049.38%983465.31%733363052.86%26452150.67%34865253.37%621327752297617305
_Vs Conference2071001200107111-4852001005341121228011005470-16180.4501071792860036746836302843554125552197172261452146.67%612067.21%333363052.86%26452150.67%34865253.37%621327752297617305

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3332W3180296476105494633236645100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3313161210180182
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147601008280
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
19610111098102
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
814049.38%983465.31%7
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
28435541253674683
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
33363052.86%26452150.67%34865253.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
621327752297617305


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 - 2025-11-01183Heat6Jayhawks3WSommaire du match
27 - 2025-11-02196Heat3Phantoms9LSommaire du match
30 - 2025-11-05215Monsters6Heat4LSommaire du match
32 - 2025-11-07229Baby Hawks10Heat5LSommaire du match
34 - 2025-11-09249Heat4Minnesota3WXSommaire du match
36 - 2025-11-11260Heat2Chiefs4LSommaire du match
38 - 2025-11-13276Sags8Heat3LSommaire du match
40 - 2025-11-15294Oceanics4Heat6WSommaire du match
43 - 2025-11-18312Heat2Baby Hawks6LSommaire du match
44 - 2025-11-19316Heat5Crunch7LSommaire du match
47 - 2025-11-22345Stars3Heat5WSommaire du match
48 - 2025-11-23352Heat4Comets9LSommaire du match
51 - 2025-11-26362Heat5Thunder4WXXSommaire du match
53 - 2025-11-28380Heat8Cabaret Lady Mary Ann3WSommaire du match
55 - 2025-11-30404Heat5Caroline6LXSommaire du match
57 - 2025-12-02416Heat7Jayhawks9LSommaire du match
59 - 2025-12-04433Minnesota7Heat5LSommaire du match
61 - 2025-12-06448Roadrunners7Heat5LSommaire du match
63 - 2025-12-08463Crunch5Heat12WSommaire du match
65 - 2025-12-10477Cougars3Heat5WSommaire du match
68 - 2025-12-13507Heat9Monarchs2WSommaire du match
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
Assistance26,82113,141
Assistance PCT95.79%93.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-11 2854 - 95.15% 97,359$1,363,020$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
736,351$ 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$ 736,351$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,628,681$ 125 10,682$ 1,335,250$




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