Heat

GP: 68 | W: 36 | L: 28 | OTL: 4 | P: 76
GF: 229 | GA: 167 | PP%: 13.06% | PK%: 81.99%
DG: Martin Thibault | Morale : 55 | Moyenne d'Équipe : 63
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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
1Michael Rasmussen (R)XXX100.008042886697697166546270636260628864650
2Andy AndreoffX100.006544796078949558645959626075685363630
3Alan QuineX100.006037896775756566706566606371665366630
4Michael MerschX100.006937886183939160625859605673675163630
5Ty RattieX100.006435936771696366516564636271677372630
6Juho LammikkoXXX100.006937896279766561696456705765636673620
7Mike VecchioneX100.005537875969939058635855575371665972600
8Dominic ToninatoX100.005837885980767158685961576269655665600
9Ville MeskanenX100.006036925875939157625754565267646160600
10Bobby ButlerX100.005836915672939155575452534980725365590
11Nathan WalkerX100.005337875867776958575956585569656123580
12Jonathan Ang (R)X100.005437875657949555625651545361636422570
13Cal FooteX100.007638856091959659305653645261638262660
14David SchlemkoX100.006336926176836259306056724880724026640
15Rasmus Sandin (R)X100.005636906071857959306253565159626673600
16Frank CorradoX100.006337895675837754305251534671665263590
Rayé
MOYENNE D'ÉQUIPE100.00633788607684795954595760556966615861
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 Lagace100.00786664787776787776787771754757730
2Scott Wedgewood100.00758280797474757474757473774623730
Rayé
1Ivan Kulbakov100.00717472787069717069717069736019690
MOYENNE D'ÉQUIPE100.0075747278747375747375747175513372
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'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alan QuineHeat (Cal)C68533285562210381573477925915.27%3998714.523141638000009264.62%125500051.72110201363
2Ty RattieHeat (Cal)RW6827265335201023441685314616.07%286209.1200000000004068.89%4500001.71001101118
3Juho LammikkoHeat (Cal)C/LW/RW33924332560115969213813.04%73169.6000000000002166.85%36500002.0800000014
4Antoine RousselCalgary FlamesLW/RW245152014351543385617498.93%1053622.37257161001014780048.98%4900000.7401111130
5Rasmus SandinHeat (Cal)D165914917531642172211.90%1534321.474373637000012100.00%000000.8200001101
6Ryan SpoonerCalgary FlamesC/LW441532036143728.57%07118.0010139000180073.33%1500001.3900000000
7Andy WelinskiCalgary FlamesD413458011163216.67%310426.1202229000010000.00%000000.7700000000
8Mike VecchioneHeat (Cal)C681234202271114.29%0400.5900002000021041.38%2900001.4900000010
9Michael Del ZottoCalgary FlamesD71232100148161146.25%516423.55101923000022000.00%000000.3600000000
10Bobby ButlerHeat (Cal)RW31122000121150.00%0144.770000000000100.00%000002.8000000001
11Dominic ToninatoHeat (Cal)C3000000000010.00%051.87000000000200100.00%200000.0000000000
12Jonathan AngHeat (Cal)C3000100310030.00%0227.61000010000700100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne3011071152221561224017932372719654314.72%107322910.7311112282223101514418364.55%176300051.3712242162217
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)66342740.9342.3938916515523460320.786146602068
Stats d'équipe Total ou en Moyenne66342740.9342.3938916515523460320.786146602068


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alan QuineHeat (Cal)C261993-02-25No203 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Andy AndreoffHeat (Cal)LW281991-05-17No203 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Bobby ButlerHeat (Cal)RW321987-04-26No189 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Cal FooteHeat (Cal)D201998-12-13No221 Lbs6 ft4NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
David SchlemkoHeat (Cal)D321987-05-07No191 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Dominic ToninatoHeat (Cal)C251994-03-09No200 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Frank CorradoHeat (Cal)D261993-03-26No205 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Ivan KulbakovHeat (Cal)G221996-09-18No182 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Jonathan AngHeat (Cal)C211998-01-31Yes172 Lbs5 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Juho LammikkoHeat (Cal)C/LW/RW231996-01-29No191 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Maxime LagaceHeat (Cal)G261993-01-12No190 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$NoLien
Michael MerschHeat (Cal)LW261992-10-02No213 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Michael RasmussenHeat (Cal)C/LW/RW201999-04-17Yes221 Lbs6 ft6NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Mike VecchioneHeat (Cal)C261993-02-25No194 Lbs5 ft10NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Nathan WalkerHeat (Cal)LW251994-02-07No186 Lbs5 ft9NoNoNo1Pro & Farm300,000$0$0$NoLien
Rasmus SandinHeat (Cal)D192000-03-07Yes184 Lbs6 ft0NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Scott WedgewoodHeat (Cal)G261992-08-14No195 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ty RattieHeat (Cal)RW261993-02-05No183 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ville MeskanenHeat (Cal)RW231995-10-02No188 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.84195 Lbs6 ft02.89484,211$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Alan Quine30122
3Ty Rattie20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Alan Quine40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Vecchione, , Mike Vecchione,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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
1Barracuda1209002012047-27605001001020-10604001011027-1730.1252033531010175494258752763813324281111292284512.22%541179.63%01003205748.76%1079261441.28%45296047.08%144810501913472739338
2Condors1037000002630-4514000001318-5523000001312160.30026487410101754942887527638133234610210517433721.21%461176.09%01003205748.76%1079261441.28%45296047.08%144810501913472739338
3Eagles8700100039172244000000219124300100018810161.000396110001101754944347527638133227872451822528.00%19478.95%01003205748.76%1079261441.28%45296047.08%144810501913472739338
4Gulls835000002016441300000761422000001310360.37520315100101754942217527638133233087771534449.09%27581.48%01003205748.76%1079261441.28%45296047.08%144810501913472739338
5Moose440000002581722000000124822000000134981.0002544690010175494225752763813321433726901900.00%10190.00%01003205748.76%1079261441.28%45296047.08%144810501913472739338
6Rampage211000004311010000012-11100000031220.500461000101754942975276381332592422254250.00%9188.89%01003205748.76%1079261441.28%45296047.08%144810501913472739338
7Reign101000000065155055000000368285500000029722201.000651201850510175494530752763813323167789214371027.03%37197.30%11003205748.76%1079261441.28%45296047.08%144810501913472739338
8Roadrunners82302001181804120000179-241102000119290.563182846001017549421475276381332311938611137616.22%36877.78%01003205748.76%1079261441.28%45296047.08%144810501913472739338
9Stars2020000013-21010000001-11010000012-100.0001120010175494447527638133272152037400.00%10280.00%01003205748.76%1079261441.28%45296047.08%144810501913472739338
Total6832280321222916762341417001111108228341811031011198534760.5592293906192610175494234775276381332244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
11Wild42100010111012010001035-22200000085360.75011182900101754941047527638133216240335220315.00%13376.92%01003205748.76%1079261441.28%45296047.08%144810501913472739338
_Since Last GM Reset6832280321222916762341417001111108228341811031011198534760.5592293906192610175494234775276381332244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
_Vs Conference2613110101081631813570001038353138401000432815300.57781134215111017549489975276381332917253225470861416.28%972178.35%01003205748.76%1079261441.28%45296047.08%144810501913472739338
_Vs Division207001000804139104000000372116103001000432023160.400801302100110175494836752763813327141881463867279.72%611181.97%01003205748.76%1079261441.28%45296047.08%144810501913472739338

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6876L122939061923472445658632126626
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6832283212229167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341417011111082
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
341811310111985
Derniers 10 Matchs
WLOTWOTL SOWSOL
530011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2683513.06%2614781.99%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
7527638133210175494
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
1003205748.76%1079261441.28%45296047.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
144810501913472739338


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 - 2019-09-1992Barracuda3Heat2LSommaire du Match
19 - 2019-09-2099Heat3Barracuda6LSommaire du Match
24 - 2019-09-25117Heat6Gulls3WSommaire du Match
25 - 2019-09-26129Heat5Condors1WSommaire du Match
29 - 2019-09-30138Condors1Heat4WSommaire du Match
32 - 2019-10-03163Rampage2Heat1LSommaire du Match
34 - 2019-10-05172Heat2Barracuda4LSommaire du Match
38 - 2019-10-09191Reign2Heat9WSommaire du Match
40 - 2019-10-11210Heat5Reign0WSommaire du Match
42 - 2019-10-13213Heat6Eagles5WXSommaire du Match
43 - 2019-10-14222Heat5Eagles2WSommaire du Match
45 - 2019-10-16234Roadrunners3Heat2LSommaire du Match
49 - 2019-10-20255Heat4Roadrunners3WXSommaire du Match
50 - 2019-10-21262Heat2Roadrunners4LSommaire du Match
52 - 2019-10-23276Heat6Gulls2WSommaire du Match
54 - 2019-10-25297Gulls1Heat6WSommaire du Match
56 - 2019-10-27299Heat2Barracuda3LXXSommaire du Match
59 - 2019-10-30317Reign0Heat6WSommaire du Match
60 - 2019-10-31329Barracuda6Heat1LSommaire du Match
66 - 2019-11-06361Moose2Heat6WSommaire du Match
67 - 2019-11-07373Moose2Heat6WSommaire du Match
74 - 2019-11-14413Condors4Heat2LSommaire du Match
78 - 2019-11-18433Condors5Heat4LSommaire du Match
80 - 2019-11-20445Heat3Wild2WSommaire du Match
81 - 2019-11-21461Heat5Wild3WSommaire du Match
87 - 2019-11-27485Heat3Roadrunners1WSommaire du Match
88 - 2019-11-28497Heat2Roadrunners1WXSommaire du Match
90 - 2019-11-30509Barracuda2Heat1LSommaire du Match
94 - 2019-12-04530Roadrunners1Heat2WSommaire du Match
95 - 2019-12-05543Eagles3Heat4WSommaire du Match
99 - 2019-12-09559Gulls2Heat0LSommaire du Match
102 - 2019-12-12585Reign3Heat6WSommaire du Match
103 - 2019-12-13591Heat0Barracuda5LSommaire du Match
106 - 2019-12-16603Heat1Condors2LSommaire du Match
108 - 2019-12-18615Heat1Condors3LSommaire du Match
109 - 2019-12-19628Stars1Heat0LSommaire du Match
111 - 2019-12-21640Eagles2Heat6WSommaire du Match
114 - 2019-12-24654Heat3Rampage1WSommaire du Match
115 - 2019-12-25664Heat1Stars2LSommaire du Match
122 - 2020-01-01696Barracuda3Heat2LSommaire du Match
123 - 2020-01-02698Heat2Barracuda3LXSommaire du Match
129 - 2020-01-08731Heat4Eagles1WSommaire du Match
130 - 2020-01-09746Heat3Eagles0WSommaire du Match
134 - 2020-01-13768Heat3Condors2WSommaire du Match
137 - 2020-01-16791Eagles3Heat6WSommaire du Match
138 - 2020-01-17803Eagles1Heat5WSommaire du Match
141 - 2020-01-20812Heat5Reign0WSommaire du Match
145 - 2020-01-24845Barracuda3Heat2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29867Gulls2Heat1LSommaire du Match
151 - 2020-01-30879Gulls1Heat0LSommaire du Match
155 - 2020-02-03894Heat1Gulls3LSommaire du Match
157 - 2020-02-05909Condors4Heat2LSommaire du Match
159 - 2020-02-07930Heat1Barracuda6LSommaire du Match
164 - 2020-02-12953Roadrunners3Heat2LSommaire du Match
165 - 2020-02-13965Roadrunners2Heat1LXXSommaire du Match
171 - 2020-02-19992Wild4Heat1LSommaire du Match
173 - 2020-02-211015Wild1Heat2WXXSommaire du Match
179 - 2020-02-271052Heat0Gulls2LSommaire du Match
180 - 2020-02-281057Heat5Reign4WSommaire du Match
186 - 2020-03-051084Heat7Moose1WSommaire du Match
187 - 2020-03-061099Heat6Moose3WSommaire du Match
190 - 2020-03-091113Reign3Heat6WSommaire du Match
192 - 2020-03-111126Heat7Reign3WSommaire du Match
194 - 2020-03-131150Condors4Heat1LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
227,562$ 92,000$ 21,980$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 127,517$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 990$ 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
146832280321222916762341417001111108228341811031011198534762293906192610175494234775276381332244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
Total Saison Régulière6832280321222916762341417001111108228341811031011198534762293906192610175494234775276381332244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338