Heat

GP: 4 | W: 2 | L: 1 | OTL: 1 | P: 5
GF: 21 | GA: 7 | PP%: 35.29% | PK%: 76.47%
DG: Martin Thibault | Morale : 49 | Moyenne d'Équipe : 64
Prochain matchs #92 vs Barracuda
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 CallahanX100.008437846868727067566663786584773150670
2Barclay GoodrowXXX100.008074686383699562766161786371694250660
3Ryan SpoonerXX100.007137946871697067727364616673686250650
4Chris KunitzX100.008139826472646963516462656190812650640
5Adam ErneXX100.008752766380687862556462646367697553630
6Andy AndreoffX100.006544796078949558645959626075685347630
7Jesse PuljujarviX100.007341876887696367536266587061638950630
8Alan QuineX100.006037896775756566706566606371665350630
9Michael MerschX100.006937886183939160625859605673675147630
10Ty RattieX100.006435936771696366516564636271677350630
11Nick PaulX100.007337896292746961656060636167646647620
12Juho LammikkoXXX100.006937896279766561696456705765636650620
13Brett Seney (R)XX100.006348716662736964736862566165636450610
14Mike VecchioneX100.005537875969939058635855575371665950600
15Andy WelinskiX100.007438866578826264306861594971666150640
16Rasmus Sandin (R)X100.005636906071857959306253565159626650600
17Frank CorradoX100.006337895675837754305251534671665247590
18Urho Vaakanainen (R)X100.005535936374736262305754564660628550590
Rayé
1Dominic ToninatoX100.005837885980767158685961576269655651600
2Ville MeskanenX100.006036925875939157625754565267646146600
3Bobby ButlerX100.005836915672939155575452534980725351590
4Jonathan Ang (R)X100.005437875657949555625651545361636451580
MOYENNE D'ÉQUIPE100.00674086627579766157615961587067595062
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
1Petr Mrazek100.00878684758685878685878673774751810
2Maxime Lagace100.00786664787776787776787771754750730
3Scott Wedgewood100.00758280797474757474757473774651730
Rayé
1Michael McNiven100.00747371807372747372747363676650710
2Ivan Kulbakov100.00717472787069717069717069736051690
MOYENNE D'ÉQUIPE100.0077767478767577767577767074535173
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)RW43697203101652018.75%39523.77022390001140078.95%3800001.8900000110
2Ryan SpoonerHeat (Cal)C/LW441532036143728.57%07118.0010139000180073.33%1500001.3900000000
3Chris KunitzHeat (Cal)LW4055420517270.00%15814.700000000000000.00%000001.7000000000
4Jesse PuljujarviHeat (Cal)RW40552002413490.00%06817.040223100000000100.00%400001.4700000000
5Alan QuineHeat (Cal)C432522036142821.43%16817.06213510000000073.17%8200001.4700000001
6Barclay GoodrowHeat (Cal)C/LW/RW414544061211599.09%47719.36112690000130073.68%7600001.2900000000
7Ty RattieHeat (Cal)RW4325400011672218.75%05814.6400000000000050.00%400001.7100000010
8Adam ErneHeat (Cal)LW/RW4314175145147921.43%07418.64202410000060066.67%300001.0700100010
9Joe MorrowCalgary FlamesD2044340411040.00%25226.120221400004000.00%000001.5300000100
10Andy WelinskiHeat (Cal)D413458011163216.67%310426.1202229000010000.00%000000.7700000000
11Juho LammikkoHeat (Cal)C/LW/RW42134201131021020.00%05814.6700000000001071.43%4900001.0200000001
12Rasmus SandinHeat (Cal)D4033500834220.00%210325.840113900008000.00%000000.5800000000
13Bobby ButlerHeat (Cal)RW31122000121150.00%0144.770000000000100.00%000002.8000000001
14Brett SeneyHeat (Cal)C/LW4022220263100.00%0194.7600000000000080.00%2000002.1000000000
15Mike VecchioneHeat (Cal)C4011220211000.00%0174.38000000000200100.00%200001.1400000000
16Urho VaakanainenHeat (Cal)D4011500514140.00%19724.470114800007000.00%000000.2000000000
17Dominic ToninatoHeat (Cal)C3000000000010.00%051.87000000000200100.00%200000.0000000000
18Jonathan AngHeat (Cal)C3000100310030.00%0227.61000010000700100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne672142635637572731364511815.44%17106815.956121834950002852074.83%29800001.1800100233
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
1Maxime LagaceHeat (Cal)21010.9271.48122013410000.000020000
Stats d'équipe Total ou en Moyenne21010.9271.48122013410000.000020000


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
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
Petr MrazekHeat (Cal)G271992-02-14No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$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
2725.44195 Lbs6 ft02.63681,481$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan SpoonerBarclay GoodrowRyan Callahan40122
2Adam ErneAlan QuineJesse Puljujarvi30122
3Chris KunitzJuho LammikkoTy Rattie20122
4Ryan CallahanBrett Seney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus SandinUrho Vaakanainen40122
2Andy Welinski30122
3Andy Welinski20122
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
1Rasmus SandinUrho Vaakanainen60122
2Andy Welinski40122
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 Welinski60122
2Rasmus SandinUrho Vaakanainen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Callahan60122Andy Welinski60122
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 Welinski60122
2Rasmus SandinUrho Vaakanainen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan SpoonerBarclay GoodrowRyan CallahanAndy WelinskiRasmus Sandin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan SpoonerBarclay GoodrowRyan CallahanAndy WelinskiRasmus Sandin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Vecchione, , Mike Vecchione,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, , Rasmus SandinAndy Welinski, Rasmus Sandin
Tirs de Pénalité
Ryan Callahan, Barclay Goodrow, Ryan Spooner, Adam Erne, Chris Kunitz
Gardien
#1 : Maxime Lagace, #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
1Barracuda1000010023-11000010023-10000000000010.5002460013440255129542204621500.00%3166.67%09712180.17%8011271.43%486573.85%13110067224425
2Condors1010000034-1000000000001010000034-100.000369001344029512954223312184125.00%6350.00%09712180.17%8011271.43%486573.85%13110067224425
3Reign2200000016016110000009091100000070741.0001632480213440825129542421123348562.50%80100.00%09712180.17%8011271.43%486573.85%13110067224425
Total421001002171421000100113821100000104650.625214263021344013651295428518417317635.29%17476.47%09712180.17%8011271.43%486573.85%13110067224425
_Since Last GM Reset421001002171421000100113821100000104650.625214263021344013651295428518417317635.29%17476.47%09712180.17%8011271.43%486573.85%13110067224425
_Vs Conference1010000034-1000000000001010000034-100.000369001344029512954223312184125.00%6350.00%09712180.17%8011271.43%486573.85%13110067224425

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
45OTL12142631368518417302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4210100217
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2100100113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2110000104
Derniers 10 Matchs
WLOTWOTL SOWSOL
210100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
17635.29%17476.47%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
512954213440
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
9712180.17%8011271.43%486573.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13110067224425


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 - 2019-09-048Heat3Condors4LSommaire du Match
4 - 2019-09-0520Reign0Heat9WSommaire du Match
10 - 2019-09-1141Heat7Reign0WSommaire du Match
11 - 2019-09-1256Barracuda3Heat2LXSommaire du Match
18 - 2019-09-1992Barracuda-Heat-
19 - 2019-09-2099Heat-Barracuda-
24 - 2019-09-25117Heat-Gulls-
25 - 2019-09-26129Heat-Condors-
29 - 2019-09-30138Condors-Heat-
32 - 2019-10-03163Rampage-Heat-
34 - 2019-10-05172Heat-Barracuda-
38 - 2019-10-09191Reign-Heat-
40 - 2019-10-11210Heat-Reign-
42 - 2019-10-13213Heat-Eagles-
43 - 2019-10-14222Heat-Eagles-
45 - 2019-10-16234Roadrunners-Heat-
49 - 2019-10-20255Heat-Roadrunners-
50 - 2019-10-21262Heat-Roadrunners-
52 - 2019-10-23276Heat-Gulls-
54 - 2019-10-25297Gulls-Heat-
56 - 2019-10-27299Heat-Barracuda-
59 - 2019-10-30317Reign-Heat-
60 - 2019-10-31329Barracuda-Heat-
66 - 2019-11-06361Moose-Heat-
67 - 2019-11-07373Moose-Heat-
74 - 2019-11-14413Condors-Heat-
78 - 2019-11-18433Condors-Heat-
80 - 2019-11-20445Heat-Wild-
81 - 2019-11-21461Heat-Wild-
87 - 2019-11-27485Heat-Roadrunners-
88 - 2019-11-28497Heat-Roadrunners-
90 - 2019-11-30509Barracuda-Heat-
94 - 2019-12-04530Roadrunners-Heat-
95 - 2019-12-05543Eagles-Heat-
99 - 2019-12-09559Gulls-Heat-
102 - 2019-12-12585Reign-Heat-
103 - 2019-12-13591Heat-Barracuda-
106 - 2019-12-16603Heat-Condors-
108 - 2019-12-18615Heat-Condors-
109 - 2019-12-19628Stars-Heat-
111 - 2019-12-21640Eagles-Heat-
114 - 2019-12-24654Heat-Rampage-
115 - 2019-12-25664Heat-Stars-
122 - 2020-01-01696Barracuda-Heat-
123 - 2020-01-02698Heat-Barracuda-
129 - 2020-01-08731Heat-Eagles-
130 - 2020-01-09746Heat-Eagles-
134 - 2020-01-13768Heat-Condors-
137 - 2020-01-16791Eagles-Heat-
138 - 2020-01-17803Eagles-Heat-
141 - 2020-01-20812Heat-Reign-
145 - 2020-01-24845Barracuda-Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29867Gulls-Heat-
151 - 2020-01-30879Gulls-Heat-
155 - 2020-02-03894Heat-Gulls-
157 - 2020-02-05909Condors-Heat-
159 - 2020-02-07930Heat-Barracuda-
164 - 2020-02-12953Roadrunners-Heat-
165 - 2020-02-13965Roadrunners-Heat-
171 - 2020-02-19992Wild-Heat-
173 - 2020-02-211015Wild-Heat-
179 - 2020-02-271052Heat-Gulls-
180 - 2020-02-281057Heat-Reign-
186 - 2020-03-051084Heat-Moose-
187 - 2020-03-061099Heat-Moose-
190 - 2020-03-091113Reign-Heat-
192 - 2020-03-111126Heat-Reign-
194 - 2020-03-131150Condors-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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
17,614$ 184,000$ 105,920$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 10,913$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 1,464$ 264,984$




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
1442100100217142100010011382110000010465214263021344013651295428518417317635.29%17476.47%09712180.17%8011271.43%486573.85%13110067224425
Total Saison Régulière42100100217142100010011382110000010465214263021344013651295428518417317635.29%17476.47%09712180.17%8011271.43%486573.85%13110067224425