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Connexion

Heat
GP: 82 | W: 28 | L: 49 | OTL: 5 | P: 61
GF: 168 | GA: 237 | PP%: 16.59% | PK%: 82.99%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Heat
28-49-5, 61pts
1
FINAL
3 Comets
51-26-5, 107pts
Team Stats
L2SéquenceL1
15-24-2Fiche domicile31-8-2
13-25-3Fiche domicile20-18-3
3-6-1Derniers 10 matchs8-1-1
2.05Buts par match 2.30
2.89Buts contre par match 1.79
16.59%Pourcentage en avantage numérique9.21%
82.99%Pourcentage en désavantage numérique86.83%
Sags
36-39-7, 79pts
3
FINAL
2 Heat
28-49-5, 61pts
Team Stats
W1SéquenceL2
20-20-1Fiche domicile15-24-2
16-19-6Fiche domicile13-25-3
4-5-1Derniers 10 matchs3-6-1
2.01Buts par match 2.05
2.02Buts contre par match 2.89
14.94%Pourcentage en avantage numérique16.59%
82.87%Pourcentage en désavantage numérique82.99%
Meneurs d'équipe
Buts
Charles Hudon
25
Passes
Jeremie Poirier
24
Points
Charles Hudon
40
Plus/Moins
Charles Hudon
9
Victoires
Dylan Garand
25
Pourcentage d’arrêts
Michael DiPietro
0.917

Statistiques d’équipe
Buts pour
168
2.05 GFG
Tirs pour
1584
19.32 Avg
Pourcentage en avantage numérique
16.6%
38 GF
Début de zone offensive
37.5%
Buts contre
237
2.89 GAA
Tirs contre
1906
23.24 Avg
Pourcentage en désavantage numérique
83.0%%
33 GA
Début de la zone défensive
40.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,876
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
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
1Charles HudonXXX100.00584665706169696644636463675950050630281750,000$
2Riley TufteX100.00696157637365646342595965625350050610241950,000$
3Mikhail MaltsevXX100.00654669676564626252585762625350050600241750,000$
4Ryan MacInnisXX100.00737779637756575674525365534646050590263850,000$
5Grigori Denisenko (R)XX100.00564865666363626342605551615150050580222925,000$
6Alexander Campbell (R)X100.00373097695556714547384338475454050500213700,000$
7John Farinacci (R)X100.00454397646950634052333942425454050480213700,000$
8Alexandr Darin (R)X100.00413797646246623446293137355858050450223650,000$
9Aapeli Rasanen (R)X100.00293736366727272936282836323230050350241620,000$
10Wyatt Kaiser (R)X100.00574071717280606540626065665150050640203916,667$
11Ville HeinolaX100.00644463716161606440645469635050050630211925,002$
12Jeremie Poirier (R)X100.00634863696460616640645967645050050630203823,333$
13Jacob MoverareX100.00614865686563636240595466615250050620242900,000$
14Nicolas BeaudinX100.00585063715763626140625267615150050610221894,168$
15Mattias Norlinder (R)X100.00594069666262626240615461615150050600223700,000$
16Ryan Johnson (R)X100.00413897636352733425342740295454050490213825,000$
Rayé
1Adam GaudetteXXHO6344697264707168526564636859530506502600$
MOYENNE D’ÉQUIPE100.0055467265655962554452505655525005057
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
1Nathan WalkerCalgaryLW4921214222321069139135349515.56%9114523.3846102714700051644367.23%52800000.7338101866
2Charles HudonHeat (Cal)C/LW/RW50251540916052115130337819.23%9106121.225510271110002945148.49%105800000.7526000943
3Wyatt KaiserHeat (Cal)D501222346200615059133820.34%64118423.687512371251011109340%000000.5700000324
4Jeremie PoirierHeat (Cal)D50824325400976264162812.50%3499619.9359143911501119801100.00%100000.6400000113
5Riley TufteHeat (Cal)LW50722295355146527818658.97%8105321.07088121090000823048.21%5600000.5514001152
6Ville HeinolaHeat (Cal)D5081321-12320866740102420.00%4499319.865492410701109012100.00%100000.4200000213
7Mikhail MaltsevHeat (Cal)C/LW5081321-1160691109119518.79%397319.48134151111121481149.94%85900000.4314000102
8Ryan MacInnisHeat (Cal)C/LW5098171280926879225111.39%1091218.241347780110512167.19%25300000.3712000233
9Mattias NorlinderHeat (Cal)D5041317-430066582131219.05%3382916.59101615000246000%000000.4100000012
10Nicolas BeaudinHeat (Cal)D5021416-123157153297156.90%4487517.51033115100003610100.00%100000.3700100021
11Hudson FaschingCalgaryRW174111556034326111316.56%140423.800447411013410044.33%9700000.7402000031
12Grigori DenisenkoHeat (Cal)LW/RW50510155100274140123312.50%197919.5911251110000353056.58%7600000.3100000212
13Jacob MoverareHeat (Cal)D332810-92804138247198.33%1764219.462571770011061100%000000.3100000010
14Jonathan DahlenCalgaryLW7235020314232128.70%215221.85112822000113000%400000.6500000000
15Alexander CampbellHeat (Cal)LW50325-15206182791411.11%280816.180000270000231047.27%5500000.1200000010
16Aapeli RasanenHeat (Cal)C33011-221002780020%149515.0100002000000039.51%8100000.0400000000
17John FarinacciHeat (Cal)C50011-18405428180%167413.480111170000440052.59%48300000.0300000000
18Ryan JohnsonHeat (Cal)D50011700550030%1258911.79000015000042000%500000.0300000000
19Alexandr DarinHeat (Cal)RW50000-200097250%180616.13000267000000043.90%410000000000000
Statistiques d’équipe totales ou en moyenne839120202322-303422095798191621958413.10%2961557718.573358912451348358161087251353.15%359900000.41826202293132
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
1Dylan GarandHeat (Cal)50252230.8942.00297725999360110.78919500612
2Michael DiPietroHeat (Cal)20000.9171.30460011200000050000
Statistiques d’équipe totales ou en moyenne52252230.8951.98302425100948011195050612


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$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$0$0$No700,000$700,000$Lien
Alexandr DarinHeat (Cal)RW222000-08-16Yes170 Lbs5 ft11NoNoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Lien
Charles Hudon (contrat à 1 volet)Heat (Cal)C/LW/RW281994-06-23No190 Lbs5 ft10NoNoYesYes1Pro & Farm750,000$0$0$NoLien
Dylan GarandHeat (Cal)G202002-06-07Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Gage AlexanderHeat (Cal)G202002-07-02Yes205 Lbs6 ft6NoNoNoNo3Pro & Farm810,000$0$0$No810,000$810,000$
Grigori DenisenkoHeat (Cal)LW/RW222000-06-24Yes185 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Jacob MoverareHeat (Cal)D241998-08-31No198 Lbs6 ft3NoNoYesYes2Pro & Farm900,000$0$0$No900,000$Lien
Jeremie PoirierHeat (Cal)D202002-06-02Yes196 Lbs6 ft1NoNoNoNo3Pro & Farm823,333$0$0$No823,333$823,333$
John FarinacciHeat (Cal)C212001-02-14Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Mattias NorlinderHeat (Cal)D222000-04-12Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Michael DiPietroHeat (Cal)G231999-06-09Yes201 Lbs6 ft0NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Mikhail MaltsevHeat (Cal)C/LW241998-03-12No198 Lbs6 ft3NoNoYesYes1Pro & Farm750,000$0$0$NoLien
Nicolas BeaudinHeat (Cal)D221999-10-07No168 Lbs5 ft11NoNoNoNo1Pro & Farm894,168$0$0$NoLien
Riley TufteHeat (Cal)LW241998-04-10No220 Lbs6 ft6NoNoYesYes1Pro & Farm950,000$0$0$NoLien
Ryan JohnsonHeat (Cal)D212001-07-24Yes170 Lbs6 ft0NoNoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$Lien
Ryan MacInnis (contrat à 1 volet)Heat (Cal)C/LW261996-02-14No201 Lbs6 ft4NoNoYesYes3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Ville HeinolaHeat (Cal)D212001-03-02No179 Lbs5 ft11NoNoNoNo1Pro & Farm925,002$0$0$NoLien
Wyatt KaiserHeat (Cal)D202002-07-31Yes173 Lbs6 ft0NoNoNoNo3Pro & Farm916,667$0$0$No916,667$916,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2022.55186 Lbs6 ft12.10756,959$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteCharles HudonGrigori Denisenko40122
2Ryan MacInnisMikhail MaltsevAlexandr Darin30122
3Alexander CampbellJohn FarinacciAapeli Rasanen20122
4Charles HudonAapeli RasanenRiley Tufte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier40122
2Ville HeinolaJacob Moverare30122
3Nicolas BeaudinMattias Norlinder20122
4Ryan JohnsonWyatt Kaiser10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteCharles HudonGrigori Denisenko60122
2Ryan MacInnisMikhail MaltsevAlexandr Darin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charles HudonRiley Tufte60122
2Mikhail MaltsevRyan MacInnis40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charles Hudon60122Wyatt KaiserJeremie Poirier60122
2Riley Tufte40122Ville HeinolaJacob Moverare40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charles HudonRiley Tufte60122
2Mikhail MaltsevRyan MacInnis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteCharles HudonGrigori DenisenkoWyatt KaiserJeremie Poirier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteCharles HudonGrigori DenisenkoWyatt KaiserJeremie Poirier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Campbell, John Farinacci, Grigori DenisenkoAlexander Campbell, John FarinacciGrigori Denisenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Beaudin, Mattias Norlinder, Ryan JohnsonNicolas BeaudinMattias Norlinder, Ryan Johnson
Tirs de pénalité
Charles Hudon, Riley Tufte, Mikhail Maltsev, Ryan MacInnis, Grigori Denisenko
Gardien
#1 : Dylan Garand, #2 : Michael DiPietro


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
1Admirals3120000023-11010000001-12110000022020.33324600526051746540543488396126267210110.00%11190.91%0855194943.87%935212344.04%491113143.41%171011882265591984454
2Baby Hawks30200001410-61010000012-12010000138-510.1674812005260517455405434883956152948500.00%12466.67%0855194943.87%935212344.04%491113143.41%171011882265591984454
3Bears2020000027-51010000003-31010000024-200.00024600526051731540543488394310823300.00%20100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
4Bruins21000001541110000002021000000134-130.750510150152605173154054348839331616367342.86%8187.50%0855194943.87%935212344.04%491113143.41%171011882265591984454
5Cabaret Lady Mary Ann201010008801010000045-11000100043120.5008162400526051759540543488394792446233.33%2150.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
6Caroline2010001035-21010000003-31000001032120.500347005260517295405434883936101235700.00%60100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
7Chiefs320000011183210000016511100000053250.83311213200526051753540543488397224206311436.36%10190.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
8Chill30300000310-71010000014-32020000026-400.000369005260517465405434883981312140700.00%7357.14%0855194943.87%935212344.04%491113143.41%171011882265591984454
9Comets41300000914-520200000410-62110000054120.250916251052605177954054348839972618739333.33%90100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
10Cougars2010001056-1100000103211010000024-220.5005813005260517425405434883951138424125.00%40100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
11Crunch2010001059-4100000104311010000016-520.500571200526051759540543488397717843400.00%4250.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
12Jayhawks330000001239220000008261100000041361.0001220320052605176854054348839672221639555.56%8275.00%1855194943.87%935212344.04%491113143.41%171011882265591984454
13Las Vegas431000001082211000005502200000053260.75010203000526051710154054348839631414631000.00%7185.71%0855194943.87%935212344.04%491113143.41%171011882265591984454
14Manchots22000000532110000001011100000043141.0005101501526051754540543488394198406116.67%40100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
15Marlies2020000029-71010000023-11010000006-600.000246005260517445405434883961148284125.00%40100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
16Minnesota3110000179-21000000134-12110000045-130.500713200152605178554054348839892016497342.86%70100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
17Monarchs42100100871220000005232010010035-250.625815230152605176154054348839541422671218.33%9277.78%0855194943.87%935212344.04%491113143.41%171011882265591984454
18Monsters20100010770100000103211010000045-120.500712190052605173954054348839412014383133.33%5180.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
19Monsters3030000049-51010000012-12020000037-400.0004812005260517635405434883977258441218.33%40100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
20Oceanics3120000057-22020000036-31100000021120.3335101500526051746540543488395819205112216.67%100100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
21Oil Kings41300000815-72110000056-12020000039-620.2508152300526051766540543488391012930779111.11%14378.57%1855194943.87%935212344.04%491113143.41%171011882265591984454
22Phantoms22000000532110000003211100000021141.00058130052605174654054348839449105210110.00%50100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
23Rocket2020000025-31010000012-11010000013-200.000235005260517365405434883943121031600.00%40100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
24Sags3030000036-32020000035-21010000001-100.0003580052605173354054348839542010513133.33%5340.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
25Seattle40400000216-142020000017-62020000019-800.00024600526051753540543488391003814761300.00%5260.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
26Senators21100000550110000003031010000025-320.5005101501526051739540543488395484287114.29%20100.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
27Sound Tigers211000004401010000023-11100000021120.50048120052605174054054348839361110349111.11%5180.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
28Spiders21100000550110000004221010000013-220.5005914105260517205405434883952208403133.33%2150.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
29Stars30300000616-102020000038-51010000038-500.0006121800526051775540543488398524104311218.18%5260.00%0855194943.87%935212344.04%491113143.41%171011882265591984454
30Thunder2020000058-31010000024-21010000034-100.0005914005260517515405434883968241038300.00%50100.00%1855194943.87%935212344.04%491113143.41%171011882265591984454
31Wolf Pack2020000068-21010000034-11010000034-100.000612180052605174454054348839641329277114.29%9277.78%0855194943.87%935212344.04%491113143.41%171011882265591984454
Total82234901144168237-694112240003286107-214111250111282130-48610.372168311479255260517158454054348839190656244414592293816.59%1943382.99%3855194943.87%935212344.04%491113143.41%171011882265591984454
_Since Last GM Reset82234901144168237-694112240003286107-214111250111282130-48610.372168311479255260517158454054348839190656244414592293816.59%1943382.99%3855194943.87%935212344.04%491113143.41%171011882265591984454
_Vs Conference4411260103396141-4522513000224966-1722613010114775-28330.375961752711152605179135405434883910612982207941232217.89%1011882.18%2855194943.87%935212344.04%491113143.41%171011882265591984454

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8261L216831147915841906562444145925
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8223491144168237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
411224003286107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411125111282130
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2293816.59%1943382.99%3
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
540543488395260517
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
855194943.87%935212344.04%491113143.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171011882265591984454


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 - 2023-12-09409Spiders2Heat4BWSommaire du match
63 - 2023-12-11431Heat1Monsters4ALSommaire du match
64 - 2023-12-12439Heat3Las Vegas2AWSommaire du match
66 - 2023-12-14450Heat3Minnesota5ALSommaire du match
68 - 2023-12-16472Thunder4Heat2BLSommaire du match
70 - 2023-12-18483Cabaret Lady Mary Ann5Heat4BLSommaire du match
73 - 2023-12-21508Heat2Admirals1AWSommaire du match
75 - 2023-12-23526Heat2Monarchs3ALSommaire du match
79 - 2023-12-27539Seattle4Heat1BLSommaire du match
83 - 2023-12-31570Phantoms2Heat3BWSommaire du match
85 - 2024-01-02578Heat1Minnesota0AWSommaire du match
87 - 2024-01-04595Heat1Chill3ALSommaire du match
89 - 2024-01-06605Heat2Phantoms1AWSommaire du match
90 - 2024-01-07617Heat2Baby Hawks3ALXXSommaire du match
92 - 2024-01-09634Senators0Heat3BWSommaire du match
94 - 2024-01-11649Heat4Jayhawks1AWSommaire du match
96 - 2024-01-13668Heat2Las Vegas1AWSommaire du match
99 - 2024-01-16687Jayhawks1Heat5BWSommaire du match
101 - 2024-01-18697Marlies3Heat2BLSommaire du match
103 - 2024-01-20716Oil Kings2Heat5BWSommaire du match
106 - 2024-01-23735Chiefs1Heat3BWSommaire du match
108 - 2024-01-25753Monsters2Heat3BWXXSommaire du match
110 - 2024-01-27772Baby Hawks2Heat1BLSommaire du match
120 - 2024-02-06783Heat3Bruins4ALXXSommaire du match
122 - 2024-02-08796Heat1Spiders3ALSommaire du match
124 - 2024-02-10807Heat2Sound Tigers1AWSommaire du match
126 - 2024-02-12820Heat3Wolf Pack4ALSommaire du match
129 - 2024-02-15846Sags2Heat1BLSommaire du match
131 - 2024-02-17852Cougars2Heat3BWXXSommaire du match
133 - 2024-02-19873Oceanics2Heat1BLSommaire du match
136 - 2024-02-22896Bruins0Heat2BWSommaire du match
138 - 2024-02-24914Heat1Oil Kings3ALSommaire du match
141 - 2024-02-27935Monarchs0Heat2BWSommaire du match
145 - 2024-03-02968Manchots0Heat1BWSommaire du match
147 - 2024-03-04980Seattle3Heat0BLSommaire du match
150 - 2024-03-07999Heat3Thunder4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091013Heat4Cabaret Lady Mary Ann3AWXSommaire du match
153 - 2024-03-101024Heat3Caroline2AWXXSommaire du match
155 - 2024-03-121039Monsters2Heat1BLSommaire du match
157 - 2024-03-141055Las Vegas2Heat3BWSommaire du match
159 - 2024-03-161064Rocket2Heat1BLSommaire du match
161 - 2024-03-181080Bears3Heat0BLSommaire du match
166 - 2024-03-231120Heat4Comets1AWSommaire du match
167 - 2024-03-241133Crunch3Heat4BWXXSommaire du match
169 - 2024-03-261143Heat1Baby Hawks5ALSommaire du match
171 - 2024-03-281157Heat5Chiefs3AWSommaire du match
173 - 2024-03-301179Monarchs2Heat3BWSommaire du match
176 - 2024-04-021195Admirals1Heat0BLSommaire du match
178 - 2024-04-041209Heat2Oceanics1AWSommaire du match
180 - 2024-04-061227Oil Kings4Heat0BLSommaire du match
183 - 2024-04-091251Heat0Sags1ALSommaire du match
185 - 2024-04-111264Heat1Monarchs2ALXSommaire du match
186 - 2024-04-121268Heat0Admirals1ALSommaire du match
188 - 2024-04-141286Jayhawks1Heat3BWSommaire du match
190 - 2024-04-161302Heat1Comets3ALSommaire du match
192 - 2024-04-181309Sags3Heat2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,21339,721
Assistance PCT95.38%96.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2876 - 95.88% 97,559$3,999,924$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,358,211$ 1,353,917$ 1,353,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,052$ 1,358,211$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,052$ 0$




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