Heat

GP: 47 | W: 28 | L: 18 | OTL: 1 | P: 57
GF: 154 | GA: 128 | PP%: 19.92% | PK%: 86.06%
DG: Martin Thibault | Morale : 63 | Moyenne d'Équipe : 60
Prochain matchs #768 vs Condors
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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 YakupovXX100.00755576867973797650677272557671162700
2Barclay GoodrowXX100.00835572738075797384666871557777131680
3Andy AndreoffX100.00925558737972736964646466557777174670
4Ty RattieX100.00665581806672787550656761557272169660
5Alan QuineXXX100.00845578757869716668626067557775176650
6Adam ErneXX100.00725570557170706750616266557070167620
7Colin SmithX100.00605565716471736350606261557175174620
8Nick PaulX100.00855573667972726350606161555050171610
9Mike Vecchione (R)X100.00725576726968696050606255555050174600
10Teddy Blueger (R)X100.00715565626864696050606060555050172580
11Bobby ButlerX100.00585567556072695550555555557171174560
12Dominic Toninato (R)X100.00565555555657575564555564557271174560
13Henri IkonenX100.00655571646762745550555556555050176560
14Reid Gardiner (R)X100.00565563616866655550555555555050173550
15Mike ReillyX100.00755581865776588425776377557573168710
16Frank CorradoX100.00635563697170596425606063555455148610
17Andrew Welinski (R)X100.00595559605959655925595959555353153570
18Sena AcolatseX100.00555555605555685525555555555353174550
Rayé
1Mikhail GrigorenkoXX100.00555555555555555550555555557170150540
2Mario Lucia (R)X100.00565555555555555550555555555050157530
3Juho Lammikko (R)X100.00565555555556555550555555555050151530
4Josh HennessyX100.00555555555555555550555555555050153530
5Michael MerschX100.00565555555555555550555555555050130520
MOYENNE D'ÉQUIPE100.0066556565656566624960606155626116360
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 Wedgewood100.0070886177896986807471557570179750
2Michael McNiven (R)100.0051698679465250564848555055127550
Rayé
MOYENNE D'ÉQUIPE100.006179747868616868616055636315365
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)LW472236581510201601902005918611.00%40108223.03816244117302272124158.93%50400021.0701000823
2Alan QuineHeat (Cal)C/LW/RW47223153126515671261484211214.86%44108123.0210122250173202102224362.59%70300100.9801003163
3Ty RattieHeat (Cal)RW381628441780853114369314.04%174219.555111639200000002153.49%4300011.1800000235
4Nick PaulHeat (Cal)LW47142438091513096178601337.87%2188718.8857124717602221273054.55%5500000.8611000303
5Colin SmithHeat (Cal)C471522371160351021404710410.71%24100921.4749134817321351354154.39%80900000.7301000135
6Bobby ButlerHeat (Cal)RW4711213211141072579175613.92%465213.886131933184000003053.85%5200000.9800110132
7Dominic ToninatoHeat (Cal)C4714183210140228883206616.87%560212.8325714360000232063.82%53900001.0600000230
8Mike ReillyHeat (Cal)D28824322340334057133114.04%2567924.2751419421410001107110.00%000000.9400000013
9Sena AcolatseHeat (Cal)D47329321113810182404711376.38%51103021.93279151590225108010.00%000000.6200110101
10Teddy BluegerHeat (Cal)C47141731-9755775786295816.28%3982817.62671335138000002152.00%15000000.7500010303
11Henri IkonenHeat (Cal)LW4710182833210396689356811.24%1160812.9400000000112067.65%3400010.9200101220
12Reid GardinerHeat (Cal)RW431215273115144380304515.00%468315.8945922159000002355.32%4700000.7900010121
13Mike VecchioneHeat (Cal)C4771926-11911574599329687.53%2692219.6313440136000010149.16%23800000.5600003012
14Josh HennessyHeat (Cal)RW31791611100173248154014.58%639812.8500006000001035.00%2000000.8000000122
15Adam ErneHeat (Cal)LW/RW2954901201382661819.23%435312.201233390000702137.50%1600000.5111000000
16Joe MorrowCalgary FlamesD8145040158219164.76%518322.921121441000028000.00%000000.5500000000
17David SchlemkoCalgary FlamesD11112-2100612103510.00%5999.0810181600003000.00%000000.4000000010
18Juho LammikkoHeat (Cal)LW121010550370314.29%2625.17000000000301100.00%200000.3200100010
19Nail YakupovHeat (Cal)LW/RW3011-1007109780.00%07424.940005170000110033.33%300000.2700000001
20Michael MerschHeat (Cal)C12011155165040.00%0685.74000211000000040.48%4200000.2900001000
21Mario LuciaHeat (Cal)LW260000002146110.00%5963.73000020001770058.18%5500000.0000000000
22Mikhail GrigorenkoHeat (Cal)C/LW3000100021110.00%0268.81000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne714183322505757378590910801527470115311.98%3221217517.056111217345819894711321136321557.71%331300140.8325448263034
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
1Scott WedgewoodHeat (Cal)2315610.9212.08135902475980111.00042237210
2Robin LehnerCalgary Flames31110.8892.31182007630000.000030010
Stats d'équipe Total ou en Moyenne2616720.9182.10154102546610111.00042537220


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/RW211995-04-20No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Alan QuineHeat (Cal)C/LW/RW231993-02-24No196 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew WelinskiHeat (Cal)D231993-04-27Yes196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Andy AndreoffHeat (Cal)LW251991-05-16No207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Barclay GoodrowHeat (Cal)LW/RW231993-02-25No215 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Bobby ButlerHeat (Cal)RW291987-04-25No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
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$0$No
Frank CorradoHeat (Cal)D231993-03-26No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
Juho LammikkoHeat (Cal)LW201996-01-29Yes203 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Mario LuciaHeat (Cal)LW231993-08-25Yes201 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Michael McNivenHeat (Cal)G191997-07-09Yes216 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Michael MerschHeat (Cal)C251992-01-10No198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Mike ReillyHeat (Cal)D231993-07-13No156 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Mike VecchioneHeat (Cal)C231993-02-25Yes194 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
Nick PaulHeat (Cal)LW211995-03-20No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Reid GardinerHeat (Cal)RW201996-01-18Yes193 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
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$0$No
Teddy BluegerHeat (Cal)C221994-08-15Yes185 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Ty RattieHeat (Cal)RW231993-02-04No178 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2523.16194 Lbs6 ft12.36446,600$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffAlan QuineBobby Butler40122
2Nick PaulColin Smith30122
3Henri IkonenMike Vecchione20122
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 Smith40122
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, , Dominic Toninato,
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 :


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
1Barracuda1028000001735-1851400000920-1151400000815-740.200172946105246515202410412474153148816917350918.00%67986.57%0777136257.05%790148853.09%39670756.01%11428221161326530261
2Condors7400111026179310001107614300100019118130.9292639650052465151754104124741519744122129461328.26%46589.13%1777136257.05%790148853.09%39670756.01%11428221161326530261
3Eagles60600000825-172020000037-440400000518-1300.0008142200524651512541041247415174407312430516.67%32875.00%0777136257.05%790148853.09%39670756.01%11428221161326530261
4Gulls43100000743211000002202200000052360.750713200152465158241041247415752960663139.68%24195.83%1777136257.05%790148853.09%39670756.01%11428221161326530261
5Moose220000001431122000000143110000000000041.0001425390052465159841041247415481821545480.00%80100.00%0777136257.05%790148853.09%39670756.01%11428221161326530261
6Rampage2010100067-1100010003211010000035-220.5006111700524651556410412474155023322919315.79%10190.00%0777136257.05%790148853.09%39670756.01%11428221161326530261
7Reign66000000356294400000023320220000001239121.00035609502524651528141041247415135326914119315.79%30293.33%3777136257.05%790148853.09%39670756.01%11428221161326530261
8Roadrunners65001000321616220000001477430010001899121.000325890005246515197410412474151544611711730516.67%43686.05%0777136257.05%790148853.09%39670756.01%11428221161326530261
9Stars20200000312-91010000017-61010000025-300.0003580052465155241041247415621422485120.00%10640.00%0777136257.05%790148853.09%39670756.01%11428221161326530261
Total472318041101541282622118011107657192512100300078717570.60615426441814524651513074104124741512743507199142414819.92%2874086.06%5777136257.05%790148853.09%39670756.01%11428221161326530261
11Wild21001000633000000000002100100063341.000610160152465153941041247415651634336233.33%17288.24%0777136257.05%790148853.09%39670756.01%11428221161326530261
_Since Last GM Reset472318041101541282622118011107657192512100300078717570.60615426441814524651513074104124741512743507199142414819.92%2874086.06%5777136257.05%790148853.09%39670756.01%11428221161326530261
_Vs Conference1959031104964-15713011101422-81246020003542-7190.5004979128015246515447410412474155481372833631062422.64%1152280.87%1777136257.05%790148853.09%39670756.01%11428221161326530261
_Vs Division1406000003750-136020000021192804000001631-1500.000376510201524651537041041247415399111182288651523.08%771777.92%0777136257.05%790148853.09%39670756.01%11428221161326530261

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4757L81542644181307127435071991414
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4723184110154128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2211811107657
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
25121030007871
Derniers 10 Matchs
WLOTWOTL SOWSOL
181000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2414819.92%2874086.06%5
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
410412474155246515
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
777136257.05%790148853.09%39670756.01%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11428221161326530261


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 - 2018-11-17413Condors3Heat2LXSommaire du Match
78 - 2018-11-21433Condors1Heat2WXXSommaire du Match
80 - 2018-11-23445Heat2Wild0WSommaire du Match
81 - 2018-11-24461Heat4Wild3WXSommaire du Match
87 - 2018-11-30485Heat4Roadrunners3WXSommaire du Match
88 - 2018-12-01497Heat4Roadrunners2WSommaire du Match
90 - 2018-12-03509Barracuda3Heat0LSommaire du Match
94 - 2018-12-07530Roadrunners3Heat8WSommaire du Match
95 - 2018-12-08543Eagles3Heat1LSommaire du Match
99 - 2018-12-12559Gulls1Heat2WSommaire du Match
102 - 2018-12-15585Reign0Heat9WSommaire du Match
103 - 2018-12-16591Heat0Barracuda2LSommaire du Match
106 - 2018-12-19603Heat6Condors5WXSommaire du Match
108 - 2018-12-21615Heat3Condors2WSommaire du Match
109 - 2018-12-22628Stars7Heat1LSommaire du Match
111 - 2018-12-24640Eagles4Heat2LSommaire du Match
114 - 2018-12-27654Heat3Rampage5LSommaire du Match
115 - 2018-12-28664Heat2Stars5LSommaire du Match
122 - 2019-01-04696Barracuda6Heat0LSommaire du Match
123 - 2019-01-05698Heat2Barracuda4LSommaire du Match
129 - 2019-01-11731Heat0Eagles4LSommaire du Match
130 - 2019-01-12746Heat2Eagles6LSommaire du Match
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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
127,382$ 111,650$ 61,840$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 59,786$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 63 1,091$ 68,733$




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
134723180411015412826221180111076571925121003000787175715426441814524651513074104124741512743507199142414819.92%2874086.06%5777136257.05%790148853.09%39670756.01%11428221161326530261
Total Saison Régulière4723180411015412826221180111076571925121003000787175715426441814524651513074104124741512743507199142414819.92%2874086.06%5777136257.05%790148853.09%39670756.01%11428221161326530261
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