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Heat
GP: 38 | W: 18 | L: 18 | OTL: 2 | P: 38
GF: 198 | GA: 202 | PP%: 46.94% | PK%: 66.36%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #613 vs Bruins

Centre de jeu
Heat
18-18-2, 38pts
4
FINAL
8 Oil Kings
19-13-7, 45pts
Team Stats
W1SéquenceOTL1
9-7-1Fiche domicile8-5-3
9-11-1Fiche domicile11-8-4
6-4-0Derniers 10 matchs5-2-3
5.21Buts par match 4.33
5.32Buts contre par match 3.46
46.94%Pourcentage en avantage numérique45.00%
66.36%Pourcentage en désavantage numérique70.79%
Oil Kings
19-13-7, 45pts
2
FINAL
3 Heat
18-18-2, 38pts
Team Stats
OTL1SéquenceW1
8-5-3Fiche domicile9-7-1
11-8-4Fiche domicile9-11-1
5-2-3Derniers 10 matchs6-4-0
4.33Buts par match 5.21
3.46Buts contre par match 5.32
45.00%Pourcentage en avantage numérique46.94%
70.79%Pourcentage en désavantage numérique66.36%
Bruins
22-15-2, 46pts
2025-12-29
Heat
18-18-2, 38pts
Statistiques d’équipe
L1SéquenceW1
13-8-0Fiche domicile9-7-1
9-7-2Fiche visiteur9-11-1
4-5-110 derniers matchs6-4-0
3.87Buts par match 5.21
3.92Buts contre par match 5.21
40.21%Pourcentage en avantage numérique46.94%
64.77%Pourcentage en désavantage numérique66.36%
Phantoms
26-8-2, 54pts
2025-12-31
Heat
18-18-2, 38pts
Statistiques d’équipe
OTL1SéquenceW1
14-5-1Fiche domicile9-7-1
12-3-1Fiche visiteur9-11-1
7-2-110 derniers matchs6-4-0
4.86Buts par match 5.21
3.39Buts contre par match 5.21
43.56%Pourcentage en avantage numérique46.94%
83.33%Pourcentage en désavantage numérique66.36%
Jayhawks
8-27-2, 18pts
2026-01-03
Heat
18-18-2, 38pts
Statistiques d’équipe
L4SéquenceW1
4-15-2Fiche domicile9-7-1
4-12-0Fiche visiteur9-11-1
1-8-110 derniers matchs6-4-0
3.38Buts par match 5.21
5.76Buts contre par match 5.21
21.35%Pourcentage en avantage numérique46.94%
50.76%Pourcentage en désavantage numérique66.36%
Meneurs d'équipe
Buts
Jonathan Lekkerimäki
36
Passes
Jonathan Lekkerimäki
47
Points
Jonathan Lekkerimäki
83
Plus/Moins
Jagger Firkus
10
Victoires
Michael DiPietro
3
Pourcentage d’arrêts
Michael DiPietro
0.805

Statistiques d’équipe
Buts pour
198
5.21 GFG
Tirs pour
1168
30.74 Avg
Pourcentage en avantage numérique
46.9%
46 GF
Début de zone offensive
34.8%
Buts contre
202
5.32 GAA
Tirs contre
1053
27.71 Avg
Pourcentage en désavantage numérique
66.4%%
36 GA
Début de la zone défensive
29.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,848
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
1Jack Studnicka (R)XX100.00634571716775716753636063667054050640251750,000$
2Riley TufteX100.006851606373686765446261666355500506202621,000,000$
3Jonathan Lekkerimäki (R)X100.00604074696975626440616261655150050620203918,333$
4John Farinacci (R)X100.00614073656366646349635662615250050600231700,000$
5Grigori Denisenko (R)X100.00544961656266656544635951635350050590244900,000$
6Jagger Firkus (R)X100.00584167675761606242615859625050050590203891,667$
7Jani Nyman (R)X100.00644265626758576242596259625050050590203891,667$
8Skyler Brind'Amour (R)X100.00554368636266646042545751605250050570251750,000$
9Zach Dean (R)XXX100.00584170656260585641525356585050050560212852,500$
10Alex Campbell (R)X100.00554069655561585548525254575250050550231700,000$
11Jacob MoverareX100.006341847384797468406462716862530506802621,325,000$
12Ville Heinola (R)X100.00584172747075666540615968666559050650231900,000$
13Ryan Johnson (R)X100.00624371687070636540605668635250050630231825,000$
14Jeremie Poirier (R)X100.00604665666565636440635566615150050620221823,333$
15Riley StillmanX100.00584863656568655940535562597051050600261750,000$
16Nicolas BeaudinX100.00554466666057555539524764575250050570242650,000$
17Mattias Norlinder (R)X100.00534169656159585639524956585250050560241700,000$
Rayé
1Theodor Niederbach (R)X100.00525554545551515254515154535555050530222825,000$
2Alexandr Darin (R)X100.00373793626239523044252735335858050410241650,000$
3Zakhar Bardakov (R)X100.00373737373737373737373737373737050380233750,000$
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
1Michael DiPietro (R)100.0074656965717274737371595450050650251800,000$
2Dylan Garand (R)100.0073636861687074697270565150050630223700,000$
Rayé
1Domenic DiVincentiis (R)100.0067616265656668666664565050050600203830,556$
2Jacob Fowler (R)100.0063575765626262606260545050050560193923,333$
3Gage Alexander (R)100.0058555369585860525553485042050530221810,000$
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)RW38364783-841551421974511018.27%1785122.409132226663035802350.00%2523721031.9511010645
2John FarinacciHeat (Cal)C38234568-1049254967141417316.31%1782321.677121915630222740053.72%9142724011.6511122334
3Jagger FirkusHeat (Cal)RW38252247101553627146379217.12%1462916.56022152133303058.82%173823011.4900100522
4Ville HeinolaHeat (Cal)D3810364632610255710840569.26%4999126.1078152186022179200%03241000.9300002222
5Jani NymanHeat (Cal)RW38202141-1530104740112377817.86%1169318.24581314550002301150.00%423616011.1800020500
6Alex CampbellHeat (Cal)C38152035-960354089324616.85%2165017.1146108460110402056.27%3112117001.0800000043
7Zach DeanHeat (Cal)C/LW/RW38201131-133010403362194232.26%1372719.155498531011322052.50%801118020.8500011121
8Ryan JohnsonHeat (Cal)D3842226-136028234917268.16%3974519.611344410110611040.00%5838000.7000000002
9Wyatt KaiserCalgaryD1032023-6151511164018137.50%1626226.2327911250000261050.00%21920001.7500102002
10Jeremie PoirierHeat (Cal)D3831518-10281018393520148.57%3670118.47134538011064000%11133100.5100011011
11Zakhar BardakovHeat (Cal)C338614539538273431923.53%756117.02101170000221044.00%20028000.5000001030
12Jack StudnickaHeat (Cal)C/RW56410-395772061330.00%111623.39123213000040151.72%14532001.7100001110
13Theodor NiederbachHeat (Cal)RW122680395111483725.00%420317.00033115000000050.00%1018000.7800100100
14Jacob MoverareHeat (Cal)D50552008710160%813827.7301131500007000%025000.7200000010
15Riley TufteHeat (Cal)LW5325-375451241125.00%211623.25101513000061050.00%644000.8600100100
16Skyler Brind'AmourHeat (Cal)C53141209761850.00%07815.6910111000010032.00%2521001.0200000001
17Grigori DenisenkoHeat (Cal)LW5112-5757614177.14%29318.69112311000020050.00%431000.4300001000
18Nicolas BeaudinHeat (Cal)D5000-700121000%06312.670000000000000%00000000000000
19Riley StillmanHeat (Cal)D5000-720111000%16513.030000000000000%00100000000000
20Mattias NorlinderHeat (Cal)D5000-200120000%0316.320000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne437182284466-90351115427462108532562116.77%258854519.56467311912956268141456616552.09%2014257281181.09225711252323
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
1Michael DiPietroHeat (Cal)53100.8053.6124900157738000050000
2Dylan GarandHeat (Cal)20100.8335.26570053015000005000
Statistiques d’équipe totales ou en moyenne73200.8133.9230600201075300055000


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
1Riley TufteJack StudnickaJonathan Lekkerimäki40122
2Grigori DenisenkoJohn FarinacciJani Nyman30122
3Zach DeanSkyler Brind'AmourJagger Firkus20122
4Jack StudnickaAlex CampbellRiley Tufte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareVille Heinola40122
2Ryan JohnsonJeremie Poirier30122
3Riley StillmanNicolas Beaudin20122
4Mattias NorlinderJacob Moverare10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteJack StudnickaJonathan Lekkerimäki60122
2Grigori DenisenkoJohn FarinacciJani Nyman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareVille Heinola60122
2Ryan JohnsonJeremie Poirier40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack StudnickaRiley Tufte60122
2Jonathan LekkerimäkiJohn Farinacci40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareVille Heinola60122
2Ryan JohnsonJeremie Poirier40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Studnicka60122Jacob MoverareVille Heinola60122
2Riley Tufte40122Ryan JohnsonJeremie Poirier40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack StudnickaRiley Tufte60122
2Jonathan LekkerimäkiJohn Farinacci40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareVille Heinola60122
2Ryan JohnsonJeremie Poirier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteJack StudnickaJonathan LekkerimäkiJacob MoverareVille Heinola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteJack StudnickaJonathan LekkerimäkiJacob MoverareVille Heinola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jagger Firkus, Skyler Brind'Amour, Zach DeanJagger Firkus, Skyler Brind'AmourZach Dean
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Stillman, Nicolas Beaudin, Mattias NorlinderRiley StillmanNicolas Beaudin, Mattias Norlinder
Tirs de pénalité
Jack Studnicka, Riley Tufte, Jonathan Lekkerimäki, John Farinacci, Jani Nyman
Gardien
#1 : Michael DiPietro, #2 : Dylan Garand


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 Hawks20200000716-910100000510-51010000026-400.000712190041757856030639146013692326262150.00%8362.50%136971351.75%31160951.07%38272452.76%719370842350736364
2Cabaret Lady Mary Ann11000000835000000000001100000083521.00081220004175785333063914601323911123266.67%30100.00%136971351.75%31160951.07%38272452.76%719370842350736364
3Caroline1000010056-1000000000001000010056-110.5005611004175785323063914601328122184375.00%10100.00%036971351.75%31160951.07%38272452.76%719370842350736364
4Chiefs21100000963110000007251010000024-220.50091625004175785603063914601344171030100.00%5180.00%036971351.75%31160951.07%38272452.76%719370842350736364
5Comets20200000919-100000000000020200000919-1000.00091625004175785663063914601366291725400.00%6433.33%036971351.75%31160951.07%38272452.76%719370842350736364
6Cougars11000000532110000005320000000000021.00059140041757852830639146013251181911100.00%4175.00%136971351.75%31160951.07%38272452.76%719370842350736364
7Crunch21100000171251100000012571010000057-220.5001726430041757856830639146013571425173266.67%5180.00%036971351.75%31160951.07%38272452.76%719370842350736364
8Firebirds11000000422110000004220000000000021.000471100417578516306391460132022153133.33%10100.00%036971351.75%31160951.07%38272452.76%719370842350736364
9Jayhawks211000001312100000000000211000001312120.5001320330041757856830639146013572218176350.00%9366.67%036971351.75%31160951.07%38272452.76%719370842350736364
10Las Vegas302001001015-52010010069-31010000046-210.16710192900417578574306391460137727135314642.86%40100.00%036971351.75%31160951.07%38272452.76%719370842350736364
11Marlies1010000025-3000000000001010000025-300.000246004175785243063914601338106122150.00%3166.67%036971351.75%31160951.07%38272452.76%719370842350736364
12Minnesota20101000910-11010000057-21000100043120.50091625004175785533063914601350192226100.00%6183.33%036971351.75%31160951.07%38272452.76%719370842350736364
13Monarchs11000000927000000000001100000092721.00091524004175785163063914601325935145360.00%50100.00%136971351.75%31160951.07%38272452.76%719370842350736364
14Monsters1010000046-21010000046-20000000000000.000471100417578546306391460131685204125.00%000%036971351.75%31160951.07%38272452.76%719370842350736364
15Oceanics330000002213922000000141131100000082661.000223961004175785107306391460131083562488675.00%11372.73%136971351.75%31160951.07%38272452.76%719370842350736364
16Oil Kings30201000914-51000100032120200000612-620.333913220041757857630639146013662128426350.00%9277.78%036971351.75%31160951.07%38272452.76%719370842350736364
17Phantoms1010000039-6000000000001010000039-600.0003580041757854530639146013259119000%3233.33%036971351.75%31160951.07%38272452.76%719370842350736364
18Roadrunners21100000141041010000057-21100000093620.5001420340041757856130639146013742712208562.50%110.00%136971351.75%31160951.07%38272452.76%719370842350736364
19Rocket1100000011741100000011740000000000021.0001120310041757854330639146013191017126350.00%6433.33%036971351.75%31160951.07%38272452.76%719370842350736364
20Sags20101000711-41010000038-51000100043120.500714210041757855630639146013532315389333.33%5260.00%036971351.75%31160951.07%38272452.76%719370842350736364
21Senators11000000871000000000001100000087121.00081119004175785313063914601320831122150.00%3233.33%036971351.75%31160951.07%38272452.76%719370842350736364
22Stars11000000532110000005320000000000021.000591400417578545306391460133874143133.33%220.00%036971351.75%31160951.07%38272452.76%719370842350736364
23Thunder10000010541000000000001000001054121.00056110041757852230639146013235616200.00%3166.67%136971351.75%31160951.07%38272452.76%719370842350736364
24Wolf Pack1010000037-41010000037-40000000000000.00034700417578538306391460133271323100.00%4250.00%036971351.75%31160951.07%38272452.76%719370842350736364
Total38141803210198202-4178701100928932161102110106113-7380.5001983265240041757851168306391460131053364399538984646.94%1073666.36%736971351.75%31160951.07%38272452.76%719370842350736364
_Since Last GM Reset38141803210198202-4178701100928932161102110106113-7380.5001983265240041757851168306391460131053364399538984646.94%1073666.36%736971351.75%31160951.07%38272452.76%719370842350736364
_Vs Conference2481202200121128-71163011006350131329011005878-20220.45812120132200417578572230639146013639223203326572645.61%692268.12%336971351.75%31160951.07%38272452.76%719370842350736364

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3838W11983265241168105336439953800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3814183210198202
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
178711009289
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
216112110106113
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
984646.94%1073666.36%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
306391460134175785
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
36971351.75%31160951.07%38272452.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
719370842350736364


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 - 2025-12-16527Heat4Sags3WXSommaire du match
73 - 2025-12-18542Firebirds2Heat4WSommaire du match
75 - 2025-12-20559Las Vegas5Heat3LSommaire du match
78 - 2025-12-23585Heat4Oil Kings8LSommaire du match
82 - 2025-12-27598Oil Kings2Heat3WXSommaire du match
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
Assistance32,34516,071
Assistance PCT95.13%94.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-14 2848 - 94.93% 96,928$1,647,768$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
885,899$ 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$ 885,899$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,326,261$ 111 10,682$ 1,185,702$




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