Heat

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 36 | GA: 25 | PP%: 16.00% | PK%: 72.97%
DG: Martin Thibault | Morale : 47 | Moyenne d'Équipe : 63
Prochain matchs #121 vs Eagles
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 SP
1Ryan CallahanX100.008437846868727067566663786584773149670
2Barclay GoodrowXXX100.008074686383699562766161786371694251660
3Ryan SpoonerXX100.007137946871697067727364616673686249650
4Chris KunitzX100.008139826472646963516462656190812649640
5Adam ErneXX100.008752766380687862556462646367697549630
6Jesse PuljujarviX100.007341876887696367536266587061638949630
7Alan QuineX100.006037896775756566706566606371665349630
8Ty RattieX100.006435936771696366516564636271677349630
9Juho LammikkoXXX100.006937896279766561696456705765636649620
10Brett Seney (R)XX100.006348716662736964736862566165636449610
11Mike VecchioneX100.005537875969939058635855575371665949600
12Dominic ToninatoX100.005837885980767158685961576269655649600
13Bobby ButlerX100.005836915672939155575452534980725349590
14Jonathan Ang (R)X100.005437875657949555625651545361636449580
15Joe MorrowX100.007850806574765463307162645673676950640
16Andy WelinskiX100.007438866578826264306861594971666149640
17Rasmus Sandin (R)X100.005636906071857959306253565159626649600
18Urho Vaakanainen (R)X100.005535936374736262305754564660628549590
Rayé
1Andy AndreoffX100.006544796078949558645959626075685342630
2Michael MerschX100.006937886183939160625859605673675142630
3Nick PaulX100.007337896292746961656060636167646642620
4Ville MeskanenX100.006036925875939157625754565267646142600
5Frank CorradoX100.006337895675837754305251534671665242590
MOYENNE D'ÉQUIPE100.00674186627579756156625961587067604862
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
1Maxime Lagace100.00786664787776787776787771754752730
2Scott Wedgewood100.00758280797474757474757473774652730
3Michael McNiven100.00747371807372747372747363676652710
4Ivan Kulbakov100.00717472787069717069717069736052690
Rayé
MOYENNE D'ÉQUIPE100.0075747279747375747375746973555272
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Ramsay55466262967165CAN664100,000$


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 GP 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
1Ryan CallahanHeat (Cal)RW85813840132140132312.50%218423.040111190000290060.00%7000001.4101000210
2Adam ErneHeat (Cal)LW/RW8371051402582471312.50%015319.231014160000160040.00%500001.3000000000
3Jesse PuljujarviHeat (Cal)RW855104100572891817.86%113516.941125160000000100.00%200001.4800000000
4Ryan SpoonerHeat (Cal)C/LW845980031022122318.18%414117.640002200000200078.57%1400001.2800000010
5Alan QuineHeat (Cal)C85494000112842117.86%013516.99011516000001063.04%13800001.3200000110
6Barclay GoodrowHeat (Cal)C/LW/RW85496181015132761318.52%514518.241013180001272065.99%14700001.2301002011
7Ty RattieHeat (Cal)RW8088500010153140.00%011914.9400000000000080.00%500001.3400000000
8Juho LammikkoHeat (Cal)C/LW/RW83475004131261225.00%212015.1000000000000062.63%9900001.1600000001
9Urho VaakanainenHeat (Cal)D824613405252440.00%1019123.94101217000023000.00%000000.6300000002
10Chris KunitzHeat (Cal)LW83255401762041715.00%212215.2900000000020085.71%700000.8200000110
11Andy WelinskiHeat (Cal)D805501001257140.00%920826.09022218000021000.00%000000.4800000000
12Joe MorrowHeat (Cal)D8134617514984912.50%619824.79011117000020000.00%000000.4000001000
13Brett SeneyHeat (Cal)C/LW8033200328590.00%0435.4200000000000065.71%3500001.3800000000
14Rasmus SandinHeat (Cal)D8033960833220.00%421226.56011117000028000.00%000000.2800000000
15Mike VecchioneHeat (Cal)C8022320300360.00%2637.89011030000100083.33%600000.6300000000
16Bobby ButlerHeat (Cal)RW8011200016220.00%1435.4200000000000080.00%500000.4600000000
17Jonathan AngHeat (Cal)C8011520534100.00%411214.03000150000180042.86%700000.1800000000
18Dominic ToninatoHeat (Cal)C8000000010010.00%0172.1400001000040075.00%400000.0000000000
Stats d'équipe Total ou en Moyenne14436691059091151321252578419114.01%52234916.3148122719100012233064.52%54400000.8902003454
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam ErneHeat (Cal)LW/RW241995-04-20No214 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Alan QuineHeat (Cal)C261993-02-25No203 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Andy AndreoffHeat (Cal)LW281991-05-17No203 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm300,000$0$0$NoLien
Andy WelinskiHeat (Cal)D261993-04-27No201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Barclay GoodrowHeat (Cal)C/LW/RW261993-02-26No215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Bobby ButlerHeat (Cal)RW321987-04-26No189 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Brett SeneyHeat (Cal)C/LW231996-02-28Yes156 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Chris KunitzHeat (Cal)LW391979-09-26No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Dominic ToninatoHeat (Cal)C251994-03-09No200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Frank CorradoHeat (Cal)D261993-03-26No205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Ivan KulbakovHeat (Cal)G221996-09-18No182 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jesse PuljujarviHeat (Cal)RW211998-05-07No201 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Joe MorrowHeat (Cal)D261992-12-09No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Jonathan AngHeat (Cal)C211998-01-31Yes172 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Juho LammikkoHeat (Cal)C/LW/RW231996-01-29No191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Maxime LagaceHeat (Cal)G261993-01-12No190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Michael McNivenHeat (Cal)G211997-07-09No214 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Michael MerschHeat (Cal)LW261992-10-02No213 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Mike VecchioneHeat (Cal)C261993-02-25No194 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Nick PaulHeat (Cal)LW241995-03-20No230 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Rasmus SandinHeat (Cal)D192000-03-07Yes184 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Ryan CallahanHeat (Cal)RW341985-03-21No187 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Ryan SpoonerHeat (Cal)C/LW271992-01-30No191 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Scott WedgewoodHeat (Cal)G261992-08-14No195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Ty RattieHeat (Cal)RW261993-02-05No183 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Urho VaakanainenHeat (Cal)D201999-01-01Yes185 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ville MeskanenHeat (Cal)RW231995-10-02No188 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2725.41195 Lbs6 ft02.63607,407$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan SpoonerBarclay GoodrowRyan Callahan40122
2Adam ErneAlan QuineJesse Puljujarvi30122
3Chris KunitzJuho LammikkoTy Rattie20122
4Ryan CallahanBrett SeneyBobby Butler10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy WelinskiJoe Morrow40122
2Rasmus SandinUrho Vaakanainen30122
3Andy WelinskiJoe Morrow20122
4Rasmus SandinUrho Vaakanainen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan SpoonerBarclay GoodrowRyan Callahan60122
2Adam ErneAlan QuineJesse Puljujarvi40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy WelinskiJoe Morrow60122
2Rasmus SandinUrho Vaakanainen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CallahanBarclay Goodrow60122
2Ryan SpoonerAdam Erne40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy WelinskiJoe Morrow60122
2Rasmus SandinUrho Vaakanainen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Callahan60122Andy WelinskiJoe Morrow60122
2Barclay Goodrow40122Rasmus SandinUrho Vaakanainen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CallahanBarclay Goodrow60122
2Ryan SpoonerAdam Erne40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy WelinskiJoe Morrow60122
2Rasmus SandinUrho Vaakanainen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan SpoonerBarclay GoodrowRyan CallahanAndy WelinskiJoe Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan SpoonerBarclay GoodrowRyan CallahanAndy WelinskiJoe Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Vecchione, Dominic Toninato, Jonathan AngMike Vecchione, Dominic ToninatoJonathan Ang
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, Joe Morrow, Rasmus SandinAndy WelinskiJoe Morrow, Rasmus Sandin
Tirs de Pénalité
Ryan Callahan, Barclay Goodrow, Ryan Spooner, Adam Erne, Chris Kunitz
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
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
1Americans1010000047-3000000000001010000047-300.0004812001315803987808932591418300.00%6350.00%016425065.60%9415361.44%9313668.38%238178150489651
2Bruins1010000045-1000000000001010000045-100.00047110013158025878089325111520700.00%5180.00%016425065.60%9415361.44%9313668.38%238178150489651
3Eagles11000000918110000009180000000000021.00091827001315803887808931939225240.00%20100.00%016425065.60%9415361.44%9313668.38%238178150489651
4Marlies2200000013310110000006241100000071641.0001324370013158010287808933013634700.00%30100.00%016425065.60%9415361.44%9313668.38%238178150489651
5Rocket2020000057-21010000023-11010000034-100.000510150013158040878089336931313266.67%13561.54%016425065.60%9415361.44%9313668.38%238178150489651
6Sound Tigers1000000112-11000000112-10000000000010.50012300131580138780893167167000.00%8187.50%016425065.60%9415361.44%9313668.38%238178150489651
Total834000013625114210000118810413000001817170.4383669105001315802578780893151529113225416.00%371072.97%016425065.60%9415361.44%9313668.38%238178150489651
_Since Last GM Reset834000013625114210000118810413000001817170.4383669105001315802578780893151529113225416.00%371072.97%016425065.60%9415361.44%9313668.38%238178150489651
_Vs Conference633000003118133210000017611312000001412260.500316091001315802198780893110346010518422.22%24866.67%016425065.60%9415361.44%9313668.38%238178150489651
_Vs Division13300000918121000009180120000000063.00091827001315803887808931939225240.00%20100.00%016425065.60%9415361.44%9313668.38%238178150489651

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
87W23669105257151529113200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83400013625
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4210001188
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41300001817
Derniers 10 Matchs
WLOTWOTL SOWSOL
340001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25416.00%371072.97%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
8780893131580
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
16425065.60%9415361.44%9313668.38%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
238178150489651


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
1 - 2019-09-027Heat4Americans7LSommaire du Match
2 - 2019-09-0317Marlies2Heat6WSommaire du Match
4 - 2019-09-0528Heat4Bruins5LSommaire du Match
5 - 2019-09-0641Heat3Rocket4LSommaire du Match
8 - 2019-09-0960Rocket3Heat2LSommaire du Match
10 - 2019-09-1180Sound Tigers2Heat1LXXSommaire du Match
12 - 2019-09-1399Eagles1Heat9WSommaire du Match
13 - 2019-09-14100Heat7Marlies1WSommaire du Match
15 - 2019-09-16121Heat-Eagles-
19 - 2019-09-20150Americans-Heat-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 164,000$ 105,920$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 0$ 0$




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