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LHSRSM

Connexion

Heat
GP: 25 | W: 5 | L: 19 | OTL: 1 | P: 11
GF: 72 | GA: 145 | PP%: 23.91% | PK%: 72.22%
DG: Sebastien Cloutier | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #397 vs Barracuda
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Centre de jeu
Heat
5-19-1, 11pts
2
FINAL
4 Gulls
20-4-1, 41pts
Team Stats
W1StreakW5
3-6-0Home Record13-2-0
2-13-1Away Record7-2-1
2-7-1Last 10 Games9-1-0
2.88Goals Per Game5.44
5.80Goals Against Per Game3.28
23.91%Power Play Percentage24.53%
72.22%Penalty Kill Percentage82.35%
Heat
5-19-1, 11pts
3
FINAL
2 Wolves
15-9-0, 30pts
Team Stats
W1StreakL3
3-6-0Home Record9-4-0
2-13-1Away Record6-5-0
2-7-1Last 10 Games5-5-0
2.88Goals Per Game4.38
5.80Goals Against Per Game3.33
23.91%Power Play Percentage30.00%
72.22%Penalty Kill Percentage84.91%
Heat
5-19-1, 11pts
2021-12-07
Barracuda
17-6-2, 36pts
Statistiques d’équipe
W1SéquenceL1
3-6-0Fiche domicile8-1-1
2-13-1Fiche visiteur9-5-1
2-7-110 derniers matchs8-2-0
2.88Buts par match 4.48
5.80Buts contre par match 3.04
23.91%Pourcentage en avantage numérique26.23%
72.22%Pourcentage en désavantage numérique74.14%
Checkers
13-8-2, 28pts
2021-12-09
Heat
5-19-1, 11pts
Statistiques d’équipe
L2SéquenceW1
6-4-0Fiche domicile3-6-0
7-4-2Fiche visiteur2-13-1
4-5-110 derniers matchs2-7-1
3.52Buts par match 2.88
3.30Buts contre par match 5.80
11.86%Pourcentage en avantage numérique23.91%
81.36%Pourcentage en désavantage numérique72.22%
Bruins
14-7-0, 28pts
2021-12-11
Heat
5-19-1, 11pts
Statistiques d’équipe
L1SéquenceW1
9-3-0Fiche domicile3-6-0
5-4-0Fiche visiteur2-13-1
7-3-010 derniers matchs2-7-1
3.29Buts par match 2.88
2.38Buts contre par match 5.80
29.41%Pourcentage en avantage numérique23.91%
81.48%Pourcentage en désavantage numérique72.22%
Meneurs d'équipe
Ken ApplebyVictoires
Ken Appleby
5
Ken ApplebyPourcentage d’arrêts
Ken Appleby
0.926

Statistiques d’équipe
Buts pour
72
2.88 GFG
Tirs pour
745
29.80 Avg
Pourcentage en avantage numérique
23.9%
11 GF
Début de zone offensive
30.0%
Buts contre
145
5.80 GAA
Tirs contre
1486
59.44 Avg
Pourcentage en désavantage numérique
72.2%
10 GA
Début de la zone défensive
51.0%
Informations de l'équipe

Directeur généralSebastien Cloutier
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro9
Équipe Mineure21
Limite contact 30 / 250
Espoirs15


Historique d'équipe

Saison actuelle5-19-1 (11PTS)
Historique127-522-26 (0.188%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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
1Stefan MatteauX100.00874383628278796167616264627367050640261725,000$
2Devante Smith-Pelly (R)X100.00736789588076856153595763527769050630281700,000$
3Michael McCarronXX100.00788557629982855966586064577166050630251700,000$
4Phil VaroneX100.00603986636971685867645659637971050610291700,000$
5Kevin CzuczmanX100.00543595598273725830595660487870050610291700,000$
6Ryan StantonX100.00685273567775805330575258468075050600311700,000$
7Lassi Thomson (R)X100.006339875772808556306152544661610505902041,319,167$
8Frank CorradoX100.00664383557568735530595056457568050590271700,000$
Rayé
MOYENNE D’ÉQUIPE100.0069508259807578584760566052746805061
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
1Ken Appleby (R)100.0075716988747375747375747175050640252725,000$
Rayé
MOYENNE D’ÉQUIPE100.007571698874737574737574717505064
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
1Phil VaroneHeat (CGY)C251516311203095110266513.64%1246818.741236210000220053.05%68800011.3211000101
2Michael McCarronHeat (CGY)C/RW1612102210140372873175316.44%532920.6212311280000231256.10%4100001.3301000121
3Stefan MatteauHeat (CGY)C1651318910039347211466.94%833220.780339280000251052.17%13800001.0801000103
4Ryan StantonHeat (CGY)D2521315-33209633367175.56%3349419.77101925000016000.00%000000.6100000000
5Frank CorradoHeat (CGY)D2531114-1660564130153010.00%4145618.261237240001190075.00%400000.6100000000
6Kevin CzuczmanHeat (CGY)D165813720122531101616.13%2335722.32123925000026210.00%100000.7301000010
7Devante Smith-PellyHeat (CGY)RW166511-82067397421488.11%2329618.552137200001150033.33%3000000.7401000020
8Lassi ThomsonHeat (CGY)D16268-6002124234138.70%2031219.53022824000023000.00%000000.5100000000
Statistiques d’équipe totales ou en moyenne1555082132-668035831944911128811.14%165304719.66714216619700021734352.44%90200010.8715000355
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
1Ken ApplebyHeat (CGY)1651010.9263.8696400628360100.6676160401
Statistiques d’équipe totales ou en moyenne1651010.9263.8696400628360100.6676160401


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond 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 10Link
Devante Smith-PellyHeat (CGY)RW281992-06-14Yes223 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Frank CorradoHeat (CGY)D271993-03-26No205 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ken ApplebyHeat (CGY)G251995-04-10Yes210 Lbs6 ft4NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Kevin CzuczmanHeat (CGY)D291991-01-09No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Lassi ThomsonHeat (CGY)D202000-09-24Yes190 Lbs6 ft0NoNoNo4Pro & Farm1,319,167$0$0$No1,288,333$1,288,333$1,288,333$Lien NHL
Michael McCarronHeat (CGY)C/RW251995-03-07No232 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Phil VaroneHeat (CGY)C291990-12-04No193 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ryan StantonHeat (CGY)D311989-07-20No200 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Stefan MatteauHeat (CGY)C261994-02-23No208 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
926.67207 Lbs6 ft11.44774,352$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan MatteauPhil VaroneMichael McCarron40122
2Devante Smith-Pelly30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin CzuczmanRyan Stanton40122
2Frank CorradoLassi Thomson30122
320122
4Kevin CzuczmanRyan Stanton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan MatteauMichael McCarron60122
2Phil VaroneDevante Smith-Pelly40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin CzuczmanRyan Stanton60122
2Frank CorradoLassi Thomson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan MatteauMichael McCarron60122
2Devante Smith-PellyPhil Varone40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin CzuczmanRyan Stanton60122
2Frank CorradoLassi Thomson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Matteau60122Kevin CzuczmanRyan Stanton60122
2Michael McCarron40122Frank CorradoLassi Thomson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan MatteauMichael McCarron60122
2Devante Smith-PellyPhil Varone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin CzuczmanRyan Stanton60122
2Frank CorradoLassi Thomson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan MatteauMichael McCarronKevin CzuczmanRyan Stanton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan MatteauMichael McCarronKevin CzuczmanRyan Stanton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Phil Varone, Devante Smith-Pelly, Stefan MatteauPhil Varone, Devante Smith-PellyStefan Matteau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frank Corrado, Lassi Thomson, Kevin CzuczmanFrank CorradoLassi Thomson, Kevin Czuczman
Tirs de pénalité
Stefan Matteau, Michael McCarron, Devante Smith-Pelly, Phil Varone,
Gardien
#1 : Ken Appleby, #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
1Admirals10100000511-610100000511-60000000000000.0005101500341919131234251259794220293266.67%000.00%023366235.20%397112535.29%14941935.56%437305784176283119
2Americans1010000036-3000000000001010000036-300.0003580034191912123425125975511814100.00%3166.67%023366235.20%397112535.29%14941935.56%437305784176283119
3Barracuda11000000422110000004220000000000021.0004610003419191242342512597436625200.00%30100.00%023366235.20%397112535.29%14941935.56%437305784176283119
4Bears1010000018-7000000000001010000018-700.0001230034191912123425125975823227000.00%110.00%023366235.20%397112535.29%14941935.56%437305784176283119
5Bruins1010000024-2000000000001010000024-200.0002350034191913123425125974710224300.00%10100.00%023366235.20%397112535.29%14941935.56%437305784176283119
6Condors1010000069-3000000000001010000069-300.000611170034191915323425125977518421100.00%110.00%023366235.20%397112535.29%14941935.56%437305784176283119
7Devils1010000057-2000000000001010000057-200.00059140034191915723425125976924035000.00%110.00%023366235.20%397112535.29%14941935.56%437305784176283119
8Griffins10100000211-90000000000010100000211-900.0002460034191911923425125977119018200.00%000.00%023366235.20%397112535.29%14941935.56%437305784176283119
9Gulls20200000512-71010000038-51010000024-200.0005813003419191742342512597116316465240.00%30100.00%023366235.20%397112535.29%14941935.56%437305784176283119
10IceHogs1010000014-31010000014-30000000000000.0001230034191912323425125975512435100.00%110.00%023366235.20%397112535.29%14941935.56%437305784176283119
11Marlies1010000025-3000000000001010000025-300.0002350034191912523425125975992213133.33%10100.00%023366235.20%397112535.29%14941935.56%437305784176283119
12Moose11000000422110000004220000000000021.000481200341919141234251259756148244250.00%40100.00%023366235.20%397112535.29%14941935.56%437305784176283119
13Penguins2020000049-51010000023-11010000026-400.00048120034191913523425125979627435300.00%20100.00%023366235.20%397112535.29%14941935.56%437305784176283119
14Phantoms20200000416-1210100000211-91010000025-300.00048120034191914223425125971384610522150.00%5260.00%023366235.20%397112535.29%14941935.56%437305784176283119
15Reign1010000014-3000000000001010000014-300.0001120034191912223425125975012627200.00%2150.00%023366235.20%397112535.29%14941935.56%437305784176283119
16Rocket11000000321000000000001100000032121.0003690034191912123425125975116013100.00%000.00%023366235.20%397112535.29%14941935.56%437305784176283119
17Senators1010000026-4000000000001010000026-400.0002350034191913223425125975410627200.00%3166.67%023366235.20%397112535.29%14941935.56%437305784176283119
18Sound Tigers1000000134-1000000000001000000134-110.50036900341919130234251259762154284250.00%2150.00%023366235.20%397112535.29%14941935.56%437305784176283119
19Stars11000000853110000008530000000000021.000814220034191916123425125974916029000.00%000.00%023366235.20%397112535.29%14941935.56%437305784176283119
20Wolf Pack20200000416-121010000035-210100000111-1000.000471100341919159234251259713336444400.00%20100.00%023366235.20%397112535.29%14941935.56%437305784176283119
21Wolves11000000321000000000001100000032121.00036900341919123234251259755152253133.33%10100.00%023366235.20%397112535.29%14941935.56%437305784176283119
Total255190000172145-73936000003251-1916213000014094-54110.220721302020034191917452342512597148639278599461123.91%361072.22%023366235.20%397112535.29%14941935.56%437305784176283119
_Since Last GM Reset255190000172145-73936000003251-1916213000014094-54110.220721302020034191917452342512597148639278599461123.91%361072.22%023366235.20%397112535.29%14941935.56%437305784176283119
_Vs Conference1147000003962-23633000002532-7514000001430-1680.364397010900341919137123425125976641653627923730.43%15380.00%023366235.20%397112535.29%14941935.56%437305784176283119
_Vs Division424000001822-4421000001822-40030000000040.500183452003419191156234251259725464121178450.00%5180.00%023366235.20%397112535.29%14941935.56%437305784176283119

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2511W17213020274514863927859900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25519000172145
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93600003251
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1621300014094
Derniers 10 matchs
WLOTWOTL SOWSOL
270001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
461123.91%361072.22%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
23425125973419191
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
23366235.20%397112535.29%14941935.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
437305784176283119


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
5 - 2021-10-1631Heat6Condors9ALSommaire du match
7 - 2021-10-1837Gulls8Heat3BLSommaire du match
10 - 2021-10-2157Heat2Griffins11ALSommaire du match
12 - 2021-10-2367Heat1Bears8ALSommaire du match
14 - 2021-10-2586Heat1Wolf Pack11ALSommaire du match
15 - 2021-10-2690Heat5Devils7ALSommaire du match
17 - 2021-10-28103Heat2Penguins6ALSommaire du match
19 - 2021-10-30125Phantoms11Heat2BLSommaire du match
22 - 2021-11-02140Admirals11Heat5BLSommaire du match
24 - 2021-11-04154Stars5Heat8BWSommaire du match
26 - 2021-11-06171Wolf Pack5Heat3BLSommaire du match
29 - 2021-11-09189Barracuda2Heat4BWSommaire du match
31 - 2021-11-11196Heat3Rocket2AWSommaire du match
32 - 2021-11-12206Heat2Marlies5ALSommaire du match
34 - 2021-11-14224Heat2Senators6ALSommaire du match
36 - 2021-11-16236Heat2Phantoms5ALSommaire du match
38 - 2021-11-18247Heat3Americans6ALSommaire du match
40 - 2021-11-20267Heat3Sound Tigers4ALXXSommaire du match
41 - 2021-11-21276Heat2Bruins4ALSommaire du match
43 - 2021-11-23289IceHogs4Heat1BLSommaire du match
47 - 2021-11-27325Moose2Heat4BWSommaire du match
49 - 2021-11-29336Penguins3Heat2BLSommaire du match
52 - 2021-12-02361Heat1Reign4ALSommaire du match
53 - 2021-12-03365Heat2Gulls4ALSommaire du match
55 - 2021-12-05382Heat3Wolves2AWSommaire du match
57 - 2021-12-07397Heat-Barracuda-
59 - 2021-12-09407Checkers-Heat-
61 - 2021-12-11426Bruins-Heat-
63 - 2021-12-13436Heat-IceHogs-
64 - 2021-12-14443Heat-Admirals-
66 - 2021-12-16462Marlies-Heat-
68 - 2021-12-18479Monsters-Heat-
71 - 2021-12-21500Gulls-Heat-
73 - 2021-12-23518Palm Springs-Heat-
77 - 2021-12-27533Condors-Heat-
80 - 2021-12-30556Heat-Palm Springs-
81 - 2021-12-31565Moose-Heat-
83 - 2022-01-02581Heat-IceHogs-
85 - 2022-01-04588Heat-Thunderbirds-
87 - 2022-01-06602Heat-Crunch-
88 - 2022-01-07612Heat-Checkers-
92 - 2022-01-11642Sound Tigers-Heat-
94 - 2022-01-13658Senators-Heat-
96 - 2022-01-15677Wolves-Heat-
99 - 2022-01-18698Thunderbirds-Heat-
103 - 2022-01-22730Heat-Condors-
105 - 2022-01-24743Rampage-Heat-
107 - 2022-01-26754Heat-Monsters-
108 - 2022-01-27764Heat-Rampage-
110 - 2022-01-29782Comets-Heat-
113 - 2022-02-01804Heat-Stars-
114 - 2022-02-02810Heat-Roadrunners-
136 - 2022-02-24820Heat-Comets-
138 - 2022-02-26835Wild-Heat-
141 - 2022-03-01855Heat-Wild-
143 - 2022-03-03870Rocket-Heat-
145 - 2022-03-05889Heat-Eagles-
148 - 2022-03-08912Bears-Heat-
150 - 2022-03-10926Crunch-Heat-
152 - 2022-03-12938Griffins-Heat-
153 - 2022-03-13949Heat-Eagles-
156 - 2022-03-16966Devils-Heat-
158 - 2022-03-18980Americans-Heat-
159 - 2022-03-19992Heat-Comets-
162 - 2022-03-221012Barracuda-Heat-
165 - 2022-03-251032Roadrunners-Heat-
166 - 2022-03-261043Condors-Heat-
169 - 2022-03-291066Eagles-Heat-
171 - 2022-03-311081Reign-Heat-
173 - 2022-04-021098Rampage-Heat-
175 - 2022-04-041112Heat-Reign-
177 - 2022-04-061127Heat-Gulls-
178 - 2022-04-071136Heat-Barracuda-
180 - 2022-04-091149Heat-Palm Springs-
183 - 2022-04-121173Palm Springs-Heat-
185 - 2022-04-141191Wolves-Heat-
187 - 2022-04-161206Roadrunners-Heat-
192 - 2022-04-211241Stars-Heat-
194 - 2022-04-231257Comets-Heat-
197 - 2022-04-261280Heat-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
199 - 2022-04-281295Heat-Wild-
200 - 2022-04-291308Heat-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
190,685$ 696,917$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 190,685$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 146 3,467$ 506,182$




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
Saison régulière
282175600144190322-132419280012197154-57418280002393168-754719032451412078634522400729716785332299961814173225316.46%2595578.76%2966240140.23%1155307137.61%518130939.57%1587102923336481041479
382234803314238344-10641102401213117174-5741132402101121170-496123839563311075807929510967992971329296174915833226118.94%2875481.18%41316289445.47%1033266238.81%527135638.86%1818125521346021009479
482225400411246378-13241132500201133187-544192900210113191-78512464026481009287662887094996597029998771449189656612121.38%58817170.92%31659314552.75%1144263643.40%715139351.33%193413242004621998489
582126102223165350-185417290111281153-72415320111184197-1133716531548010070514023170779788731471914098815061882915.43%311164.52%0586203128.85%1091410226.60%343122428.02%11357552930587887351
68257301021152487-335414350001177240-163411380101075247-1721715229344500055484623540760782798653918912201913161138.07%962969.79%2570203028.08%1215499124.34%328133124.64%9486103144579843308
78208000110148676-528410390011083323-240410410000065353-2883148287435000583950222507496738006773193617318171171311.11%772666.23%0583200429.09%994377526.33%387151225.60%9125873160575853299
88227501022190713-5234113601012102353-251411390001088360-2721219036555500083584625790809880864658219171731951961717.71%763356.58%0633198331.92%1046364028.74%464160128.98%9996523081561859318
982195601312307425-11841112701011157199-424182900301150226-76473074927990201219787349801159117011494113118129518071753520.00%1304267.69%21564295153.00%1534323447.43%756148950.77%174112462222559979457
10255190000172145-73936000003251-1916213000014094-5411721302020034191917452342512597148639278599461123.91%361072.22%023366235.20%397112535.29%14941935.56%437305784176283119
Total Saison régulière6811055220814141817083840-2132337582490478118791834-95534447273047678292006-11772861708300347114534651542460217962347152722570753982511563384314489199335317.71%158043172.72%1381102010140.35%96092923632.87%41871163435.99%11513776621796491277553303