ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH

Heat

GP: 50 | W: 20 | L: 27 | OTL: 3 | P: 43
GF: 222 | GA: 215 | PP%: 20.35% | PK%: 71.43%
DG: Sebastien Cloutier | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #810 vs Thunderbirds
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 MatteauX100.00725185608479736167596063617166050630252725,000$
2Andy MieleX100.00564983656286876371645854598072050620312725,000$
3Jonny BrodzinskiX100.00644388628073726164586063597367050620261700,000$
4Phil VaroneX100.00583782626970686475636159647868050620281700,000$
5Jayson MegnaX100.00624589617673745963606058617868050620291700,000$
6Ryan StantonX100.00635381557783805430535356457969050590301650,000$
7Frank CorradoX100.00634589587578775630545255457367050590261650,000$
Rayé
MOYENNE D'ÉQUIPE100.0063468560757776605759585856766805061
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 SP
1Zane McIntyre100.0070868482696870696870697581050640
Rayé
MOYENNE D'ÉQUIPE100.007086848269687069687069758105064
Nom du Coach 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
1Jonny BrodzinskiHeat (CGY)C49474693441557617537011528312.70%43106821.82751250870001383160.18%45200031.7400100358
2Phil VaroneHeat (CGY)C4937468334100781783107923711.94%3484517.26471140880000254160.69%122100031.9602000354
3Stefan MatteauHeat (CGY)LW49392968111401141193499126011.17%52113323.1444849950112812264.21%9500021.2013000614
4Andy MieleHeat (CGY)C49411354-221001402003209923912.81%7896219.64011250001274159.31%118200031.1211000531
5Jayson MegnaHeat (CGY)RW491439532203886238661695.88%2884217.2037104896000084056.41%7800001.2600000020
6Michael McCarronFlamesC/RW311721385240120105173471299.83%2569422.4222418601011442059.78%91000011.0901000222
7Frank CorradoHeat (CGY)D491028387160745674153113.51%6186817.731121542000032010.00%000000.8700000011
8Ryan StantonHeat (CGY)D49130319255111476719451.49%5486617.690221141011031000.00%000000.7200001001
9Robbie RussoFlamesD20412166120362638142410.53%3445522.791341046000031000.00%000000.7000000000
10Anton LindholmFlamesD2121012714031323716325.41%3747622.68000115000002900100.00%100000.5000000000
Stats d'équipe Total ou en Moyenne4152122744861031421081810241976561144910.73%446821619.80223254254613123535119660.02%3939000121.1827101191921
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
1Zane McIntyreHeat (CGY)49202430.9143.8727278217620400200.5008490425
Stats d'équipe Total ou en Moyenne49202430.9143.8727278217620400200.5008490425


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andy MieleHeat (CGY)C311988-04-15No169 Lbs5 ft7NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Frank CorradoHeat (CGY)D261993-03-26No205 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Jayson MegnaHeat (CGY)RW291990-02-01No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jonny BrodzinskiHeat (CGY)C261993-06-19No215 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Phil VaroneHeat (CGY)C281990-12-04No193 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ryan StantonHeat (CGY)D301989-07-20No200 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Stefan MatteauHeat (CGY)LW251994-02-23No220 Lbs6 ft2NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Zane McIntyreHeat (CGY)G271992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
827.75200 Lbs6 ft01.25693,750$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Stefan MatteauJayson Megna30122
2Jonny BrodzinskiPhil Varone30122
3Andy Miele25122
4Jonny BrodzinskiStefan Matteau15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
130122
2Frank CorradoRyan Stanton30122
325122
415122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Stefan MatteauJayson Megna60122
2Jonny BrodzinskiPhil Varone40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Frank CorradoRyan Stanton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Stefan Matteau60122
2Phil VaroneAndy Miele40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Frank CorradoRyan Stanton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Stefan Matteau40122Frank CorradoRyan Stanton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Stefan Matteau60122
2Phil VaroneAndy Miele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Frank CorradoRyan Stanton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Stefan MatteauJayson Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Stefan MatteauJayson Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jayson Megna, Andy Miele, Jonny BrodzinskiJayson Megna, Andy MieleJonny Brodzinski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Frank Corrado, Ryan Stanton, Frank CorradoRyan Stanton,
Tirs de Pénalité
, Stefan Matteau, Phil Varone, Andy Miele, Jonny Brodzinski
Gardien
#1 : Zane McIntyre, #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
LigueDomicileVisiteur
# 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
1Admirals1010000034-1000000000001010000034-100.000358009167623457647707652750922411100.00%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
2Americans11000000936110000009360000000000021.000915240091676234476477076527509420100.00%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
3Barracuda302000101012-2100000106512020000047-320.3331015250091676231307647707652714533655900.00%30100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
4Bruins11000000211110000002110000000000021.00023500916762339764770765273014211300.00%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
5Checkers42200000141401010000034-1321000001110140.5001423370091676231607647707652716341177212325.00%4250.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
6Comets440000003810282200000020218220000001881081.00038661040191676233797647707652710929688100.00%30100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
7Condors110000001331000000000000110000001331021.00013193200916762398764770765273692312150.00%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
8Crunch1010000035-2000000000001010000035-200.00036900916762344764770765274115216200.00%110.00%11062187856.55%1031204050.54%48690153.94%11368231278343602288
9Devils11000000743110000007430000000000021.00071017009167623367647707652763188233266.67%4175.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
10Eagles11000000413110000004130000000000021.0004610009167623417647707652730104285120.00%20100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
11Gulls1010000037-41010000037-40000000000000.00035800916762355764770765275618626100.00%3233.33%01062187856.55%1031204050.54%48690153.94%11368231278343602288
12IceHogs21100000814-6110000008621010000008-820.5008917009167623857647707652797242476116.67%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
13Marlies1000010023-1000000000001000010023-110.50023500916762342764770765276020622000.00%30100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
14Monsters211000009721010000034-11100000063320.50091019009167623667647707652786208426233.33%4175.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
15Moose220000002021822000000202180000000000041.000203454019167623173764770765275917456200.00%20100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
16Penguins1100000010370000000000011000000103721.0001018280091676235476477076527532202422100.00%000.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
17Phantoms1010000035-21010000035-20000000000000.000336009167623667647707652758162233133.33%10100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
18Rampage412000011518-331100001121201010000036-330.375152540009167623130764770765272185118878112.50%9455.56%01062187856.55%1031204050.54%48690153.94%11368231278343602288
19Reign20200000313-1020200000313-100000000000000.0003580091676235576477076527842112354125.00%6266.67%01062187856.55%1031204050.54%48690153.94%11368231278343602288
20Roadrunners1010000025-31010000025-30000000000000.0002460091676232776477076527315619100.00%30100.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
21Rocket2010100078-1100010003211010000046-220.500713200091676237876477076527782612385120.00%4250.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
22Senators312000001115-420200000614-81100000051420.333111829009167623116764770765271804519834250.00%6350.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
23Sound Tigers1010000056-1000000000001010000056-100.0005813009167623327647707652748140202150.00%000.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
24Stars30300000717-101010000023-120200000514-900.00071219009167623120764770765271384010807114.29%5180.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
Total50182701112222215726101301011120110102481400101102105-3430.430222358580029167623231776477076527229162019211191132320.35%842471.43%11062187856.55%1031204050.54%48690153.94%11368231278343602288
25Wild40400000825-1720200000417-132020000048-400.000813210091676231177647707652721760201021300.00%9366.67%01062187856.55%1031204050.54%48690153.94%11368231278343602288
26Wolf Pack1000000123-1000000000001000000123-110.500235009167623507647707652771208215120.00%4175.00%01062187856.55%1031204050.54%48690153.94%11368231278343602288
27Wolves1010000047-3000000000001010000047-300.0004711009167623357647707652740146265120.00%3166.67%01062187856.55%1031204050.54%48690153.94%11368231278343602288
_Since Last GM Reset50182701112222215726101301011120110102481400101102105-3430.430222358580029167623231776477076527229162019211191132320.35%842471.43%11062187856.55%1031204050.54%48690153.94%11368231278343602288
_Vs Conference2871900011109135-261659000116775-812210000004260-18170.3041091692780191676231177764770765271287331106658701014.29%521473.08%01062187856.55%1031204050.54%48690153.94%11368231278343602288
_Vs Division1729000106581-1610150001050419714000001540-2560.17665104169019167623711764770765278092116042442511.90%29872.41%01062187856.55%1031204050.54%48690153.94%11368231278343602288

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5043L122235858023172291620192111902
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5018271112222215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2610131011120110
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
248140101102105
Derniers 10 Matchs
WLOTWOTL SOWSOL
540010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1132320.35%842471.43%1
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
764770765279167623
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
1062187856.55%1031204050.54%48690153.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11368231278343602288


Derniers Match 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
3 - 2020-10-0718Wild13Heat1LSommaire du Match
5 - 2020-10-0932Rampage5Heat3LSommaire du Match
7 - 2020-10-1145Heat2Stars9LSommaire du Match
9 - 2020-10-1360Heat2Wild3LSommaire du Match
11 - 2020-10-1574Reign7Heat1LSommaire du Match
14 - 2020-10-1897Wild4Heat3LSommaire du Match
16 - 2020-10-20113Heat4Wolves7LSommaire du Match
18 - 2020-10-22129Moose2Heat11WSommaire du Match
20 - 2020-10-24145Heat11Comets4WSommaire du Match
23 - 2020-10-27159Eagles1Heat4WSommaire du Match
25 - 2020-10-29182Heat3Checkers1WSommaire du Match
27 - 2020-10-31190Rampage4Heat3LXXSommaire du Match
30 - 2020-11-03216Heat3Barracuda5LSommaire du Match
31 - 2020-11-04223Senators9Heat5LSommaire du Match
34 - 2020-11-07242Heat4Checkers6LSommaire du Match
35 - 2020-11-08253Comets0Heat9WSommaire du Match
38 - 2020-11-11275Heat2Wild5LSommaire du Match
40 - 2020-11-13283Roadrunners5Heat2LSommaire du Match
42 - 2020-11-15306Heat4Rocket6LSommaire du Match
44 - 2020-11-17314Moose0Heat9WSommaire du Match
48 - 2020-11-21343Rampage3Heat6WSommaire du Match
50 - 2020-11-23363Heat3Crunch5LSommaire du Match
51 - 2020-11-24374Heat3Admirals4LSommaire du Match
53 - 2020-11-26383Rocket2Heat3WXSommaire du Match
56 - 2020-11-29405Americans3Heat9WSommaire du Match
58 - 2020-12-01422Heat10Penguins3WSommaire du Match
59 - 2020-12-02434IceHogs6Heat8WSommaire du Match
62 - 2020-12-05453Heat3Rampage6LSommaire du Match
64 - 2020-12-07466Bruins1Heat2WSommaire du Match
66 - 2020-12-09483Heat5Senators1WSommaire du Match
69 - 2020-12-12498Phantoms5Heat3LSommaire du Match
71 - 2020-12-14514Heat3Stars5LSommaire du Match
72 - 2020-12-15528Monsters4Heat3LSommaire du Match
75 - 2020-12-18544Heat2Marlies3LXSommaire du Match
77 - 2020-12-20563Reign6Heat2LSommaire du Match
79 - 2020-12-22570Heat5Sound Tigers6LSommaire du Match
81 - 2020-12-24589Heat2Wolf Pack3LXXSommaire du Match
82 - 2020-12-25597Stars3Heat2LSommaire du Match
85 - 2020-12-28620Heat13Condors3WSommaire du Match
86 - 2020-12-29628Gulls7Heat3LSommaire du Match
89 - 2021-01-01647Heat4Checkers3WSommaire du Match
91 - 2021-01-03659Checkers4Heat3LSommaire du Match
93 - 2021-01-05676Heat6Monsters3WSommaire du Match
95 - 2021-01-07688Barracuda5Heat6WXXSommaire du Match
99 - 2021-01-11716Devils4Heat7WSommaire du Match
101 - 2021-01-13732Heat1Barracuda2LSommaire du Match
102 - 2021-01-14746Senators5Heat1LSommaire du Match
106 - 2021-01-18769Heat7Comets4WSommaire du Match
108 - 2021-01-20780Comets2Heat11WSommaire du Match
110 - 2021-01-22796Heat0IceHogs8LSommaire du Match
112 - 2021-01-24810Thunderbirds-Heat-
113 - 2021-01-25818Heat-Gulls-
116 - 2021-01-28839Heat-Eagles-
118 - 2021-01-30847Griffins-Heat-
120 - 2021-02-01864Heat-Griffins-
122 - 2021-02-03878Wolf Pack-Heat-
124 - 2021-02-05890Heat-IceHogs-
126 - 2021-02-07906Heat-Thunderbirds-
127 - 2021-02-08913Penguins-Heat-
130 - 2021-02-11932Heat-Wolves-
132 - 2021-02-13942Wolves-Heat-
135 - 2021-02-16965Heat-Bears-
136 - 2021-02-17975Admirals-Heat-
139 - 2021-02-20998Crunch-Heat-
141 - 2021-02-221011Heat-Devils-
142 - 2021-02-231021Heat-Americans-
144 - 2021-02-251034Eagles-Heat-
147 - 2021-02-281058Sound Tigers-Heat-
149 - 2021-03-021066Heat-Phantoms-
150 - 2021-03-031078Heat-Moose-
153 - 2021-03-061097Condors-Heat-
154 - 2021-03-071108Heat-Gulls-
156 - 2021-03-091124Heat-Reign-
157 - 2021-03-101135Admirals-Heat-
160 - 2021-03-131157Wild-Heat-
161 - 2021-03-141160Heat-Stars-
165 - 2021-03-181186Heat-Roadrunners-
166 - 2021-03-191188Heat-Bruins-
169 - 2021-03-221205Bears-Heat-
174 - 2021-03-271235Marlies-Heat-
177 - 2021-03-301250Condors-Heat-
178 - 2021-03-311254Heat-Roadrunners-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
400,404$ 555,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 400,404$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 3,049$ 219,528$




LigueDomicileVisiteur
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
282175600144190322-132419280012197154-57418280002393168-75341903245141278634510224072971678541332299961814173225316.46%2595578.76%2966240140.23%1155307137.61%518130939.57%1587102923336481041479
382234803314238344-10641102401213117174-5741132402101121170-4946238395633117580798295196799297146329296174915833226118.94%2875481.18%41316289445.47%1033266238.81%527135638.86%1818125521346021009479
482225400411246378-13241132500201133187-544192900210113191-78442464026481092876622887949965970929998771449189656612121.38%58817170.92%31659314552.75%1144263643.40%715139351.33%193413242004621998489
582126102223165350-185417290111281153-72415320111184197-11324165315480107051406231777978873141471914098815061882915.43%311164.52%0586203128.85%1091410226.60%343122428.02%11357552930587887351
68257301021152487-335414350001177240-163411380101075247-17210152293445005548463235476078279826653918912201913161138.07%962969.79%2570203028.08%1215499124.34%328133124.64%9486103144579843308
78208000110148676-528410390011083323-240410410000065353-2880148287435005839501222574967380086773193617318171171311.11%772666.23%0583200429.09%994377526.33%387151225.60%9125873160575853299
88227501022190713-5234113601012102353-251411390001088360-2724190365555008358463257980988086439658219171731951961717.71%763356.58%0633198331.92%1046364028.74%464160128.98%9996523081561859318
88227501022190713-5234113601012102353-251411390001088360-2724190365555008358463257980988086439658219171731951961717.71%763356.58%0633198331.92%1046364028.74%464160128.98%9996523081561859318
950182701112222215726101301011120110102481400101102105-343222358580029167623231776477076527229162019211191132320.35%842471.43%11062187856.55%1031204050.54%48690153.94%11368231278343602288
Total Saison Régulière7061015490912161917414198-2457354552650579139122047-113535246284045768292151-13222091741310448454568555148039224497315744675482764309912527383515153198134717.52%157443672.30%1280082034939.35%97553055731.92%42321222834.61%11470769123151508279543333