Heat

GP: 25 | W: 18 | L: 7 | OTL: 0 | P: 36
GF: 95 | GA: 56 | PP%: 19.20% | PK%: 87.67%
DG: Martin Thibault | Morale : 63 | Moyenne d'Équipe : 59
Prochain matchs #413 vs Condors
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
1Nail YakupovXX100.00755576867973797650677272557671156700
2Andy AndreoffX98.00925558737972736964646466557777169660
3Alan QuineXXX98.00845578757869716668626067557775170650
4Colin SmithX98.00605565716471736350606261557175169620
5Nick PaulX100.00855573667972726350606161555050169610
6Mike Vecchione (R)X98.00725576726968696050606255555050170600
7Teddy Blueger (R)X98.00715565626864696050606060555050166580
8Bobby ButlerX100.00585567556072695550555555557171166560
9Dominic Toninato (R)X100.00565555555657575564555564557271169560
10Henri IkonenX100.00655571646762745550555556555050169560
11Reid Gardiner (R)X100.00565563616866655550555555555050166550
12Mikhail GrigorenkoXX100.00555555555555555550555555557170149540
13Mario Lucia (R)X100.00565555555555555550555555555050169530
14Josh HennessyX100.00555555555555555550555555555050169530
15Frank CorradoX100.00635563697170596425606063555455143610
16Andrew Welinski (R)X100.00595559605959655925595959555353147570
17Sena AcolatseX99.00555555605555685525555555555353169550
Rayé
1Juho Lammikko (R)X100.00565555555556555550555555555050153530
2Michael MerschX100.00565555555555555550555555555050151530
MOYENNE D'ÉQUIPE99.4265556363656365594858585955595916358
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
1Scott Wedgewood97.0070886177896986807471557570169750
Rayé
1Alexandar Georgiev (R)100.0072666366806455718072556060148660
2Michael McNiven (R)100.0051698679465250564848555055125550
MOYENNE D'ÉQUIPE99.006474707472626469676455626214765
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Ramsay55466262967165CAN655100,000$


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
1Andy AndreoffHeat (Cal)LW2516223821360811031122910714.29%2458823.535712218602271233062.67%29200021.2900000623
2Alan QuineHeat (Cal)C/LW/RW2516193515395377190235917.78%2157523.025510259020271103267.58%36400101.2200001143
3Nick PaulHeat (Cal)LW25816244300745711433827.02%1048819.5444825900111741061.54%2600000.9800000103
4Teddy BluegerHeat (Cal)C251011214375333045153122.22%2644617.865382068000002152.69%9300000.9400010301
5Colin SmithHeat (Cal)C258132166022468129599.88%1354221.6815622881122662059.86%44100000.7700000122
6Sena AcolatseHeat (Cal)D252192118821011523277207.41%1954821.95145880011251010.00%000000.7700110101
7Bobby ButlerHeat (Cal)RW255121712755948113410.42%334513.832791995000002058.62%2900000.9800010120
8Henri IkonenHeat (Cal)LW25611178180162948193512.50%531912.8000000000112066.67%2400001.0600000110
9Dominic ToninatoHeat (Cal)C25791698011474574615.56%333213.310225220000211067.67%30000000.9600000110
10Reid GardinerHeat (Cal)RW25691539552558202510.34%340516.221231590000001164.29%2800000.7400010011
11Mike VecchioneHeat (Cal)C2541014139531305117327.84%1649719.890221870000010148.09%13100000.5600001011
12Josh HennessyHeat (Cal)RW255914880131840133012.50%532412.9700006000001040.00%1500000.8600000112
13Juho LammikkoHeat (Cal)LW121010550370314.29%2625.17000000000301100.00%200000.3200100010
14Nail YakupovHeat (Cal)LW/RW3011-1007109780.00%07424.940005170000110033.33%300000.2700000001
15Michael MerschHeat (Cal)C12011155165040.00%0685.74000211000000040.48%4200000.2900001000
16Mario LuciaHeat (Cal)LW250000002146110.00%5943.76000020001750056.86%5100000.0000000000
17Mikhail GrigorenkoHeat (Cal)C/LW3000100021110.00%0268.81000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne355941622561103294545352378723257711.94%155574116.172441651858203582154118761.40%184200120.8900243171618
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
1Alexandar GeorgievHeat (Cal)1511400.9152.2187022323760300.0000150101
2Scott WedgewoodHeat (Cal)117300.9132.1963000232630010.00001025000
3Robin LehnerCalgary Flames31110.8892.31182007630000.000030010
Stats d'équipe Total ou en Moyenne2919810.9122.21168322627020310.00002825111


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alan QuineHeat (Cal)C/LW/RW231993-02-24No196 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Alexandar GeorgievHeat (Cal)G201996-02-10Yes176 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Andrew WelinskiHeat (Cal)D231993-04-27Yes196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Andy AndreoffHeat (Cal)LW251991-05-16No207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Bobby ButlerHeat (Cal)RW291987-04-25No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Colin SmithHeat (Cal)C231993-06-20No175 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Dominic ToninatoHeat (Cal)C221994-05-09Yes165 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Frank CorradoHeat (Cal)D231993-03-26No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Henri IkonenHeat (Cal)LW221994-04-17No184 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Josh HennessyHeat (Cal)RW311985-02-07No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Juho LammikkoHeat (Cal)LW201996-01-29Yes203 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Mario LuciaHeat (Cal)LW231993-08-25Yes201 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Michael McNivenHeat (Cal)G191997-07-09Yes216 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Michael MerschHeat (Cal)C251992-01-10No198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mike VecchioneHeat (Cal)C231993-02-25Yes194 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Mikhail GrigorenkoHeat (Cal)C/LW221994-05-15No209 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$No
Nail YakupovHeat (Cal)LW/RW231993-10-05No197 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Nick PaulHeat (Cal)LW211995-03-20No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Reid GardinerHeat (Cal)RW201996-01-18Yes193 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Scott WedgewoodHeat (Cal)G241992-08-13No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Sena AcolatseHeat (Cal)D261990-11-27No210 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Teddy BluegerHeat (Cal)C221994-08-15Yes185 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.14194 Lbs6 ft12.55404,545$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffAlan QuineBobby Butler40122
2Nick PaulColin SmithReid Gardiner30122
3Henri IkonenMike VecchioneJosh Hennessy20122
4Teddy BluegerAndy Andreoff10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse40122
2Mike VecchioneTeddy Blueger30122
3Sena Acolatse20122
4Alan QuineColin Smith10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffAlan QuineBobby Butler60122
2Nick PaulColin SmithReid Gardiner40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
2Mike VecchioneTeddy Blueger40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffAlan Quine60122
2Colin SmithNick Paul40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andy Andreoff60122Sena Acolatse60122
2Alan Quine4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andy AndreoffAlan Quine60122
2Colin SmithNick Paul40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sena Acolatse60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mike VecchioneBobby ButlerSena Acolatse
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffAlan QuineBobby ButlerSena Acolatse
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dominic Toninato, , Mario LuciaDominic Toninato, Mario Lucia
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Sena Acolatse, Sena Acolatse,
Tirs de Pénalité
Andy Andreoff, Alan Quine, Colin Smith, Nick Paul, Mike Vecchione
Gardien
#1 : , #2 : Scott Wedgewood


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
1Barracuda624000001520-531200000911-23120000069-340.3331525401032283411252332403045185579410532825.00%39782.05%046574862.17%45478457.91%23138260.47%648478578165276139
2Condors3300000013671100000032122000000104661.0001320330032283419223324030456920505021523.81%24387.50%146574862.17%45478457.91%23138260.47%648478578165276139
3Eagles2020000038-5000000000002020000038-500.000358003228341382332403045581233486233.33%13376.92%046574862.17%45478457.91%23138260.47%648478578165276139
4Gulls321000005321010000001-12200000052340.6675914013228341622332403045592148502214.55%18194.44%146574862.17%45478457.91%23138260.47%648478578165276139
5Moose220000001431122000000143110000000000041.000142539003228341982332403045481821545480.00%80100.00%046574862.17%45478457.91%23138260.47%648478578165276139
6Rampage10001000321100010003210000000000021.000358003228341292332403045241215148112.50%40100.00%046574862.17%45478457.91%23138260.47%648478578165276139
7Reign55000000266203300000014311220000001239101.0002646720132283412212332403045111265711317211.76%24291.67%246574862.17%45478457.91%23138260.47%648478578165276139
8Roadrunners3300000016881100000064222000000104661.0001630460032283411172332403045862139661417.14%16287.50%046574862.17%45478457.91%23138260.47%648478578165276139
Total2517701000955639128301000492623139400000463016360.7209516526012322834178223324030456401873575001252419.20%1461887.67%446574862.17%45478457.91%23138260.47%648478578165276139
_Since Last GM Reset2517701000955639128301000492623139400000463016360.7209516526012322834178223324030456401873575001252419.20%1461887.67%446574862.17%45478457.91%23138260.47%648478578165276139
_Vs Conference632010001916321001000642422000001312180.6671930490032283411592332403045151449811235822.86%41685.37%146574862.17%45478457.91%23138260.47%648478578165276139
_Vs Division502000002013730000000175122020000038-500.0002035550032283411652332403045130426911619736.84%25388.00%046574862.17%45478457.91%23138260.47%648478578165276139

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2536W29516526078264018735750012
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2517710009556
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
128310004926
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
139400004630
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1252419.20%1461887.67%4
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
23324030453228341
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
46574862.17%45478457.91%23138260.47%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
648478578165276139


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 - 2018-09-078Heat5Condors2WSommaire du Match
4 - 2018-09-0820Reign0Heat5WSommaire du Match
10 - 2018-09-1441Heat8Reign1WSommaire du Match
11 - 2018-09-1556Barracuda4Heat3LSommaire du Match
18 - 2018-09-2292Barracuda3Heat4WSommaire du Match
19 - 2018-09-2399Heat2Barracuda5LSommaire du Match
24 - 2018-09-28117Heat1Gulls0WSommaire du Match
25 - 2018-09-29129Heat5Condors2WSommaire du Match
29 - 2018-10-03138Condors2Heat3WSommaire du Match
32 - 2018-10-06163Rampage2Heat3WXSommaire du Match
34 - 2018-10-08172Heat3Barracuda1WSommaire du Match
38 - 2018-10-12191Reign1Heat6WSommaire du Match
40 - 2018-10-14210Heat4Reign2WSommaire du Match
42 - 2018-10-16213Heat1Eagles5LSommaire du Match
43 - 2018-10-17222Heat2Eagles3LSommaire du Match
45 - 2018-10-19234Roadrunners4Heat6WSommaire du Match
49 - 2018-10-23255Heat5Roadrunners1WSommaire du Match
50 - 2018-10-24262Heat5Roadrunners3WSommaire du Match
52 - 2018-10-26276Heat4Gulls2WSommaire du Match
54 - 2018-10-28297Gulls1Heat0LSommaire du Match
56 - 2018-10-30299Heat1Barracuda3LSommaire du Match
59 - 2018-11-02317Reign2Heat3WSommaire du Match
60 - 2018-11-03329Barracuda4Heat2LSommaire du Match
66 - 2018-11-09361Moose1Heat7WSommaire du Match
67 - 2018-11-10373Moose2Heat7WSommaire du Match
74 - 2018-11-17413Condors-Heat-
78 - 2018-11-21433Condors-Heat-
80 - 2018-11-23445Heat-Wild-
81 - 2018-11-24461Heat-Wild-
87 - 2018-11-30485Heat-Roadrunners-
88 - 2018-12-01497Heat-Roadrunners-
90 - 2018-12-03509Barracuda-Heat-
94 - 2018-12-07530Roadrunners-Heat-
95 - 2018-12-08543Eagles-Heat-
99 - 2018-12-12559Gulls-Heat-
102 - 2018-12-15585Reign-Heat-
103 - 2018-12-16591Heat-Barracuda-
106 - 2018-12-19603Heat-Condors-
108 - 2018-12-21615Heat-Condors-
109 - 2018-12-22628Stars-Heat-
111 - 2018-12-24640Eagles-Heat-
114 - 2018-12-27654Heat-Rampage-
115 - 2018-12-28664Heat-Stars-
122 - 2019-01-04696Barracuda-Heat-
123 - 2019-01-05698Heat-Barracuda-
129 - 2019-01-11731Heat-Eagles-
130 - 2019-01-12746Heat-Eagles-
134 - 2019-01-16768Heat-Condors-
137 - 2019-01-19791Eagles-Heat-
138 - 2019-01-20803Eagles-Heat-
141 - 2019-01-23812Heat-Reign-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
145 - 2019-01-27845Barracuda-Heat-
150 - 2019-02-01867Gulls-Heat-
151 - 2019-02-02879Gulls-Heat-
155 - 2019-02-06894Heat-Gulls-
157 - 2019-02-08909Condors-Heat-
159 - 2019-02-10930Heat-Barracuda-
164 - 2019-02-15953Roadrunners-Heat-
165 - 2019-02-16965Roadrunners-Heat-
171 - 2019-02-22992Wild-Heat-
173 - 2019-02-241015Wild-Heat-
179 - 2019-03-021052Heat-Gulls-
180 - 2019-03-031057Heat-Reign-
186 - 2019-03-091084Heat-Moose-
187 - 2019-03-101099Heat-Moose-
190 - 2019-03-131113Reign-Heat-
192 - 2019-03-151126Heat-Reign-
194 - 2019-03-171150Condors-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
22 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
63,220$ 89,000$ 31,940$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 28,667$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 974$ 123,698$




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
132517701000955639128301000492623139400000463016369516526012322834178223324030456401873575001252419.20%1461887.67%446574862.17%45478457.91%23138260.47%648478578165276139
Total Saison Régulière2517701000955639128301000492623139400000463016369516526012322834178223324030456401873575001252419.20%1461887.67%446574862.17%45478457.91%23138260.47%648478578165276139
Séries
12514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
12514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
Total Séries1028000002042-2240400000616-10624000001426-12420365600848023076787602345815618254611.11%741875.68%017631655.70%15227255.88%9615462.34%2161482627912053