Connexion

Heat
GP: 26 | W: 1 | L: 23 | OTL: 2 | P: 4
GF: 48 | GA: 112 | PP%: 10.67% | PK%: 83.33%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #409 vs Spiders
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Centre de jeu
Minnesota
5-17-2, 12pts
4
FINAL
3 Heat
1-23-2, 4pts
Team Stats
L1SéquenceL1
2-8-1Fiche domicile0-10-2
3-9-1Fiche domicile1-13-0
2-7-1Derniers 10 matchs0-9-1
2.17Buts par match 1.85
3.46Buts contre par match 4.31
9.72%Pourcentage en avantage numérique10.67%
76.60%Pourcentage en désavantage numérique83.33%
Caroline
16-8-2, 34pts
3
FINAL
0 Heat
1-23-2, 4pts
Team Stats
W1SéquenceL1
8-2-1Fiche domicile0-10-2
8-6-1Fiche domicile1-13-0
7-1-2Derniers 10 matchs0-9-1
2.31Buts par match 1.85
1.85Buts contre par match 4.31
15.91%Pourcentage en avantage numérique10.67%
86.08%Pourcentage en désavantage numérique83.33%
Spiders
12-11-1, 25pts
2023-12-09
Heat
1-23-2, 4pts
Statistiques d’équipe
W1SéquenceL1
5-7-0Fiche domicile0-10-2
7-4-1Fiche visiteur1-13-0
5-4-110 derniers matchs0-9-1
2.50Buts par match 1.85
2.38Buts contre par match 1.85
11.67%Pourcentage en avantage numérique10.67%
90.48%Pourcentage en désavantage numérique83.33%
Heat
1-23-2, 4pts
2023-12-11
Monsters
18-5-3, 39pts
Statistiques d’équipe
L1SéquenceL1
0-10-2Fiche domicile6-4-2
1-13-0Fiche visiteur12-1-1
0-9-110 derniers matchs8-2-0
1.85Buts par match 2.58
4.31Buts contre par match 2.58
10.67%Pourcentage en avantage numérique13.43%
83.33%Pourcentage en désavantage numérique84.69%
Heat
1-23-2, 4pts
2023-12-12
Las Vegas
15-10-2, 32pts
Statistiques d’équipe
L1SéquenceL1
0-10-2Fiche domicile8-4-1
1-13-0Fiche visiteur7-6-1
0-9-110 derniers matchs7-3-0
1.85Buts par match 1.85
4.31Buts contre par match 1.85
10.67%Pourcentage en avantage numérique16.00%
83.33%Pourcentage en désavantage numérique96.15%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
48
1.85 GFG
Tirs pour
609
23.42 Avg
Pourcentage en avantage numérique
10.7%
8 GF
Début de zone offensive
35.7%
Buts contre
112
4.31 GAA
Tirs contre
782
30.08 Avg
Pourcentage en désavantage numérique
83.3%%
8 GA
Début de la zone défensive
43.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,895
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs17


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 moyen
1Cody GlassX100.00724981748079777770746971736154050710231863,335$
2Hudson FaschingX100.00664480697879787141676663697264050680272600,000$
3Charles HudonXXX100.00584665706169696644636463675950050630281750,000$
4Jonathan DahlenX100.00574191786662547125586666245151050630241925,000$
5Riley TufteX100.00696157637365646342595965625350050610241950,000$
6Mikhail MaltsevXX100.00654669676564626252585762625350050600241750,000$
7Ryan MacInnisXX100.00737779637756575674525365534646050590263850,000$
8Grigori Denisenko (R)XX100.00564865666363626342605551615150050580222925,000$
9Alexander Campbell (R)X100.00373097695556714547384338475454050500213700,000$
10John Farinacci (R)X100.00454397646950634052333942425454050480213700,000$
11Alexandr Darin (R)X100.00413797646246623446293137355858050450223650,000$
12Ville HeinolaX100.00644463716161606440645469635050050630211925,002$
13Jeremie Poirier (R)X100.00634863696460616640645967645050050630203823,333$
14Jacob MoverareX100.00614865686563636240595466615250050620242900,000$
15Nicolas BeaudinX100.00585063715763626140625267615150050610221894,168$
16Mattias Norlinder (R)X100.00594069666262626240615461615150050600223700,000$
17Ryan Johnson (R)X100.00413897636352733425342740295454050490213825,000$
Rayé
1Adam GaudetteXXHO6344697264707168526564636859530506502600$
2Aapeli Rasanen (R)X100.00293736366727272936282836323230050350241620,000$
MOYENNE D’ÉQUIPE100.0057467466666063584554525754535105058
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 moyen
1Dylan Garand (R)100.0069616259656669666766585050050600202650,000$
2Michael DiPietro (R)100.0068575766656565656664525250050590233800,000$
Rayé
1Gage Alexander (R)100.0062575769626262596260545050050570203810,000$
MOYENNE D’ÉQUIPE100.006658596564646563656355515005059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Aapeli RasanenHeat (Cal)C241998-06-01Yes196 Lbs6 ft0NoNoYesYes1Pro & Farm620,000$429,479$0$0$NoLien
Adam GaudetteHeat (Cal)C/RW261996-10-03No170 Lbs6 ft1NoNoYesYes0Pro & Farm0$0$NoLien
Alexander CampbellHeat (Cal)LW212001-02-27Yes150 Lbs5 ft10NoNoNoNo3Pro & Farm700,000$484,896$0$0$No700,000$700,000$Lien
Alexandr DarinHeat (Cal)RW222000-08-16Yes170 Lbs5 ft11NoNoNoNo3Pro & Farm650,000$450,260$0$0$No650,000$650,000$Lien
Charles Hudon (contrat à 1 volet)Heat (Cal)C/LW/RW281994-06-23No190 Lbs5 ft10NoNoYesYes1Pro & Farm750,000$519,531$0$0$NoLien
Cody GlassHeat (Cal)C231999-04-01No206 Lbs6 ft3NoNoNoNo1Pro & Farm863,335$598,039$0$0$NoLien
Dylan GarandHeat (Cal)G202002-06-07Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$450,260$0$0$No650,000$Lien
Gage AlexanderHeat (Cal)G202002-07-02Yes205 Lbs6 ft6NoNoNoNo3Pro & Farm810,000$561,094$0$0$No810,000$810,000$
Grigori DenisenkoHeat (Cal)LW/RW222000-06-24Yes185 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$640,755$0$0$No925,000$Lien
Hudson Fasching (contrat à 1 volet)Heat (Cal)RW271995-07-28No204 Lbs6 ft3NoNoYesYes2Pro & Farm600,000$415,625$0$0$No600,000$Lien
Jacob MoverareHeat (Cal)D241998-08-31No198 Lbs6 ft3NoNoYesYes2Pro & Farm900,000$623,438$0$0$No900,000$Lien
Jeremie PoirierHeat (Cal)D202002-06-02Yes196 Lbs6 ft1NoNoNoNo3Pro & Farm823,333$570,330$0$0$No823,333$823,333$
John FarinacciHeat (Cal)C212001-02-14Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$484,896$0$0$No700,000$700,000$Lien
Jonathan DahlenHeat (Cal)LW241997-12-20No181 Lbs5 ft11NoNoYesYes1Pro & Farm925,000$640,755$0$0$NoLien
Mattias NorlinderHeat (Cal)D222000-04-12Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$484,896$0$0$No700,000$700,000$Lien
Michael DiPietroHeat (Cal)G231999-06-09Yes201 Lbs6 ft0NoNoNoNo3Pro & Farm800,000$554,167$0$0$No800,000$800,000$Lien
Mikhail MaltsevHeat (Cal)C/LW241998-03-12No198 Lbs6 ft3NoNoYesYes1Pro & Farm750,000$519,531$0$0$NoLien
Nicolas BeaudinHeat (Cal)D221999-10-07No168 Lbs5 ft11NoNoNoNo1Pro & Farm894,168$619,398$0$0$NoLien
Riley TufteHeat (Cal)LW241998-04-10No220 Lbs6 ft6NoNoYesYes1Pro & Farm950,000$658,073$0$0$NoLien
Ryan JohnsonHeat (Cal)D212001-07-24Yes170 Lbs6 ft0NoNoNoNo3Pro & Farm825,000$571,484$0$0$No825,000$825,000$Lien
Ryan MacInnis (contrat à 1 volet)Heat (Cal)C/LW261996-02-14No201 Lbs6 ft4NoNoYesYes3Pro & Farm850,000$588,802$0$0$No850,000$850,000$Lien
Ville HeinolaHeat (Cal)D212001-03-02No179 Lbs5 ft11NoNoNoNo1Pro & Farm925,002$640,757$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2222.95188 Lbs6 ft11.95755,038$



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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bears1010000024-2000000000001010000024-200.0002460018181202120120719512286415200.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
2Caroline1010000003-31010000003-30000000000000.0000000018181201820120719512184623500.00%30100.00%020860834.21%23773732.16%11836032.78%403274882194284109
3Chiefs1000000134-11000000134-10000000000010.50036900181812026201207195123598234250.00%4175.00%020860834.21%23773732.16%11836032.78%403274882194284109
4Chill2020000027-51010000014-31010000013-200.000246001818120302012071951255281123600.00%3166.67%020860834.21%23773732.16%11836032.78%403274882194284109
5Comets20200000410-620200000410-60000000000000.0004711101818120482012071951260206444125.00%30100.00%020860834.21%23773732.16%11836032.78%403274882194284109
6Cougars1010000024-2000000000001010000024-200.0002460018181202520120719512318627100.00%30100.00%020860834.21%23773732.16%11836032.78%403274882194284109
7Crunch1010000016-5000000000001010000016-500.00012300181812036201207195125413220200.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
8Las Vegas1010000023-11010000023-10000000000000.0002460018181203220120719512236218200.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
9Manchots11000000431000000000001100000043121.00048120018181203620120719512267429200.00%20100.00%020860834.21%23773732.16%11836032.78%403274882194284109
10Marlies1010000006-6000000000001010000006-600.0000000018181203020120719512428217300.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
11Minnesota1000000134-11000000134-10000000000010.500369001818120322012071951230102214125.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
12Monsters1010000045-1000000000001010000045-100.000481200181812020201207195122211215100.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
13Monsters1010000023-1000000000001010000023-100.000246001818120232012071951233112152150.00%10100.00%020860834.21%23773732.16%11836032.78%403274882194284109
14Oceanics1010000024-21010000024-20000000000000.00024600181812020201207195122224184125.00%20100.00%020860834.21%23773732.16%11836032.78%403274882194284109
15Oil Kings1010000026-4000000000001010000026-400.00024600181812015201207195123981013200.00%5180.00%020860834.21%23773732.16%11836032.78%403274882194284109
16Rocket1010000013-2000000000001010000013-200.0001230018181202620120719512225217400.00%000%020860834.21%23773732.16%11836032.78%403274882194284109
17Seattle2020000019-8000000000002020000019-800.00012300181812035201207195126325634800.00%30100.00%020860834.21%23773732.16%11836032.78%403274882194284109
18Senators1010000025-3000000000001010000025-300.0002460018181201520120719512425011300.00%000%020860834.21%23773732.16%11836032.78%403274882194284109
19Sound Tigers1010000023-11010000023-10000000000000.0002460018181202220120719512207616300.00%3166.67%020860834.21%23773732.16%11836032.78%403274882194284109
20Stars30300000616-102020000038-51010000038-500.0006121800181812075201207195128524104311218.18%5260.00%020860834.21%23773732.16%11836032.78%403274882194284109
21Wolf Pack1010000034-11010000034-10000000000000.00036900181812024201207195123241917200.00%5260.00%020860834.21%23773732.16%11836032.78%403274882194284109
Total261230000248112-6412010000022347-2414113000002565-4040.07748951431018181206092012071951278222111445975810.67%48883.33%020860834.21%23773732.16%11836032.78%403274882194284109
_Since Last GM Reset261230000248112-6412010000022347-2414113000002565-4040.07748951431018181206092012071951278222111445975810.67%48883.33%020860834.21%23773732.16%11836032.78%403274882194284109
_Vs Conference16014000022771-44806000021532-17808000001239-2720.063275380101818120391201207195124931436229849714.29%30486.67%020860834.21%23773732.16%11836032.78%403274882194284109

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
264L1489514360978222111445910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26123000248112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1201000022347
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1411300002565
Derniers 10 matchs
WLOTWOTL SOWSOL
090001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
75810.67%48883.33%0
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
201207195121818120
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
20860834.21%23773732.16%11836032.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
403274882194284109


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 - 2023-10-119Oceanics4Heat2BLSommaire du match
5 - 2023-10-1425Heat4Manchots3AWSommaire du match
7 - 2023-10-1639Heat2Bears4ALSommaire du match
10 - 2023-10-1951Heat1Crunch6ALSommaire du match
11 - 2023-10-2063Heat4Monsters5ALSommaire du match
13 - 2023-10-2280Heat2Cougars4ALSommaire du match
15 - 2023-10-2496Wolf Pack4Heat3BLSommaire du match
17 - 2023-10-26109Chiefs4Heat3BLXXSommaire du match
20 - 2023-10-29129Heat2Oil Kings6ALSommaire du match
23 - 2023-11-01142Stars3Heat1BLSommaire du match
26 - 2023-11-04170Heat1Seattle3ALSommaire du match
29 - 2023-11-07186Chill4Heat1BLSommaire du match
32 - 2023-11-10207Heat0Marlies6ALSommaire du match
33 - 2023-11-11213Heat2Senators5ALSommaire du match
36 - 2023-11-14231Heat1Rocket3ALSommaire du match
38 - 2023-11-16247Comets6Heat2BLSommaire du match
40 - 2023-11-18258Sound Tigers3Heat2BLSommaire du match
42 - 2023-11-20277Heat0Seattle6ALSommaire du match
44 - 2023-11-22288Heat1Chill3ALSommaire du match
46 - 2023-11-24305Heat3Stars8ALSommaire du match
47 - 2023-11-25315Heat2Monsters3ALSommaire du match
49 - 2023-11-27325Las Vegas3Heat2BLSommaire du match
52 - 2023-11-30351Stars5Heat2BLSommaire du match
54 - 2023-12-02368Comets4Heat2BLSommaire du match
57 - 2023-12-05385Minnesota4Heat3BLXXSommaire du match
59 - 2023-12-07401Caroline3Heat0BLSommaire du match
61 - 2023-12-09409Spiders-Heat-
63 - 2023-12-11431Heat-Monsters-
64 - 2023-12-12439Heat-Las Vegas-
66 - 2023-12-14450Heat-Minnesota-
68 - 2023-12-16472Thunder-Heat-
70 - 2023-12-18483Cabaret Lady Mary Ann-Heat-
73 - 2023-12-21508Heat-Admirals-
75 - 2023-12-23526Heat-Monarchs-
79 - 2023-12-27539Seattle-Heat-
83 - 2023-12-31570Phantoms-Heat-
85 - 2024-01-02578Heat-Minnesota-
87 - 2024-01-04595Heat-Chill-
89 - 2024-01-06605Heat-Phantoms-
90 - 2024-01-07617Heat-Baby Hawks-
92 - 2024-01-09634Senators-Heat-
94 - 2024-01-11649Heat-Jayhawks-
96 - 2024-01-13668Heat-Las Vegas-
99 - 2024-01-16687Jayhawks-Heat-
101 - 2024-01-18697Marlies-Heat-
103 - 2024-01-20716Oil Kings-Heat-
106 - 2024-01-23735Chiefs-Heat-
108 - 2024-01-25753Monsters-Heat-
110 - 2024-01-27772Baby Hawks-Heat-
120 - 2024-02-06783Heat-Bruins-
122 - 2024-02-08796Heat-Spiders-
124 - 2024-02-10807Heat-Sound Tigers-
126 - 2024-02-12820Heat-Wolf Pack-
129 - 2024-02-15846Sharks-Heat-
131 - 2024-02-17852Cougars-Heat-
133 - 2024-02-19873Oceanics-Heat-
136 - 2024-02-22896Bruins-Heat-
138 - 2024-02-24914Heat-Oil Kings-
141 - 2024-02-27935Monarchs-Heat-
145 - 2024-03-02968Manchots-Heat-
147 - 2024-03-04980Seattle-Heat-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2024-03-07999Heat-Thunder-
152 - 2024-03-091013Heat-Cabaret Lady Mary Ann-
153 - 2024-03-101024Heat-Caroline-
155 - 2024-03-121039Monsters-Heat-
157 - 2024-03-141055Las Vegas-Heat-
159 - 2024-03-161064Rocket-Heat-
161 - 2024-03-181080Bears-Heat-
166 - 2024-03-231120Heat-Comets-
167 - 2024-03-241133Crunch-Heat-
169 - 2024-03-261143Heat-Baby Hawks-
171 - 2024-03-281157Heat-Chiefs-
173 - 2024-03-301179Monarchs-Heat-
176 - 2024-04-021195Admirals-Heat-
178 - 2024-04-041209Heat-Oceanics-
180 - 2024-04-061227Oil Kings-Heat-
183 - 2024-04-091251Heat-Sharks-
185 - 2024-04-111264Heat-Monarchs-
186 - 2024-04-121268Heat-Admirals-
188 - 2024-04-141286Jayhawks-Heat-
190 - 2024-04-161302Heat-Comets-
192 - 2024-04-181309Sharks-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance23,13311,605
Assistance PCT96.39%96.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2895 - 96.49% 98,373$1,180,476$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
433,666$ 1,441,084$ 1,441,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,506$ 433,666$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,852,817$ 133 7,506$ 998,298$




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