Heat

GP: 25 | W: 15 | L: 8 | OTL: 2 | P: 32
GF: 110 | GA: 62 | PP%: 19.42% | PK%: 78.79%
DG: Martin Thibault | Morale : 55 | Moyenne d'Équipe : 64
Prochain matchs #413 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
1Ryan CallahanX100.008437846868727067566663786584773135660
2Michael Rasmussen (R)XXX100.008042886697697166546270636260628856650
3Chris KunitzX100.008139826472646963516462656190812658640
4Adam ErneXX100.008752766380687862556462646367697561630
5Andy AndreoffX100.006544796078949558645959626075685352630
6Alan QuineX100.006037896775756566706566606371665361630
7Michael MerschX100.006937886183939160625859605673675152630
8Ty RattieX100.006435936771696366516564636271677361630
9Juho LammikkoXXX100.006937896279766561696456705765636661620
10Mike VecchioneX100.005537875969939058635855575371665961600
11Dominic ToninatoX100.005837885980767158685961576269655654600
12Ville MeskanenX100.006036925875939157625754565267646149600
13Bobby ButlerX100.005836915672939155575452534980725354590
14Rasmus Sandin (R)X100.005636906071857959306253565159626661600
15Frank CorradoX100.006337895675837754305251534671665252590
16Urho Vaakanainen (R)X100.005535936374736262305754564660628562590
Rayé
1Nathan WalkerX100.005337875867776958575956585569656125580
2Jonathan Ang (R)X100.005437875657949555625651545361636430570
3David SchlemkoXHO6336926176836259306056724880724053650
MOYENNE D'ÉQUIPE100.00653888617581776054605861567167595362
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 Mrazek100.00878684758685878685878673774756810
2Maxime Lagace100.00786664787776787776787771754756730
Rayé
1Scott Wedgewood100.00758280797474757474757473774632730
2Ivan Kulbakov100.00717472787069717069717069736030690
MOYENNE D'ÉQUIPE100.0078777578777678777678777276504474
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
1Alan QuineHeat (Cal)C252020403020550116229317.24%637314.94213725000002065.83%48000022.1400000531
2Adam ErneHeat (Cal)LW/RW252116373036106031106307919.81%1138915.582027240000152160.61%3300011.9001110344
3Chris KunitzHeat (Cal)LW2510182821155231563184915.87%72499.9800000000002065.00%2000002.2401010311
4Juho LammikkoHeat (Cal)C/LW/RW2581927216094560202813.33%62489.9400000000002168.10%27900002.1700000013
5Ty RattieHeat (Cal)RW25111627210011662236117.74%62479.9000000000001070.59%1700002.1800000122
6Rasmus SandinHeat (Cal)D165914917531642172211.90%1534321.474373637000012100.00%000000.8200001101
7Urho VaakanainenHeat (Cal)D192810922040144119394.88%1939820.962573348000011000.00%000000.5000000010
8Ryan CallahanHeat (Cal)RW636944010132492312.50%614123.650225170001250065.57%6100001.2700000110
9Ryan SpoonerCalgary FlamesC/LW441532036143728.57%07118.0010139000180073.33%1500001.3900000000
10Barclay GoodrowCalgary FlamesC/LW/RW414544061211599.09%47719.36112690000130073.68%7600001.2900000000
11Andy WelinskiCalgary FlamesD413458011163216.67%310426.1202229000010000.00%000000.7700000000
12Michael Del ZottoCalgary FlamesD71232100148161146.25%516423.55101923000022000.00%000000.3600000000
13Mike VecchioneHeat (Cal)C25022320213110.00%0271.0900001000020038.46%1300001.4600000000
14Bobby ButlerHeat (Cal)RW31122000121150.00%0144.770000000000100.00%000002.8000000001
15Dominic ToninatoHeat (Cal)C3000000000010.00%051.87000000000200100.00%200000.0000000000
16Jonathan AngHeat (Cal)C3000100310030.00%0227.61000010000700100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne219881252131651282021822056617243215.55%88288113.16131427108209000213211266.87%99900031.4802121141313
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)2313720.9252.46134243557350210.8005230314
Stats d'équipe Total ou en Moyenne2313720.9252.46134243557350210.8005230314


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
Bobby ButlerHeat (Cal)RW321987-04-26No189 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Chris KunitzHeat (Cal)LW391979-09-26No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$NoLien
David SchlemkoHeat (Cal)D321987-05-07No191 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$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
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 MerschHeat (Cal)LW261992-10-02No213 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Michael RasmussenHeat (Cal)C/LW/RW201999-04-17Yes221 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Mike VecchioneHeat (Cal)C261993-02-25No194 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Nathan WalkerHeat (Cal)LW251994-02-07No186 Lbs5 ft9NoNoNo1Avec 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
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
2325.91194 Lbs6 ft02.70730,435$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Adam ErneAlan Quine30122
3Chris KunitzJuho LammikkoTy Rattie20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Adam ErneAlan Quine40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Adam Erne40122
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
2Adam Erne40122
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
, , , 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
1Barracuda604001011225-1330200100512-730200001713-620.1671222341056322021343102793231620843731142200.00%32875.00%042174556.51%43489048.76%22438458.33%615458620163273135
2Condors321000001266110000004132110000085340.667122234005632202110310279323167125185513323.08%9366.67%042174556.51%43489048.76%22438458.33%615458620163273135
3Eagles2100100011740000000000021001000117441.00011193000563220211931027932316651514467228.57%6266.67%042174556.51%43489048.76%22438458.33%615458620163273135
4Gulls33000000186121100000061522000000125761.0001828460056322021183102793231610228166817423.53%8275.00%042174556.51%43489048.76%22438458.33%615458620163273135
5Moose2200000012482200000012480000000000041.0001218300056322021143102793231656151246900.00%4175.00%042174556.51%43489048.76%22438458.33%615458620163273135
6Rampage1010000012-11010000012-10000000000000.00011200563220214310279323163381411000.00%5180.00%042174556.51%43489048.76%22438458.33%615458620163273135
7Reign550000003623433000000242222200000012012101.000366810404563220223831027932316150405011419947.37%190100.00%042174556.51%43489048.76%22438458.33%615458620163273135
8Roadrunners30201000810-21010000023-12010100067-120.33381321005632202763102793231612430394516212.50%16475.00%042174556.51%43489048.76%22438458.33%615458620163273135
Total25138021011106248127400100542529136402001563719320.640110191301145632202923310279323168092042364991032019.42%992178.79%042174556.51%43489048.76%22438458.33%615458620163273135
_Since Last GM Reset25138021011106248127400100542529136402001563719320.640110191301145632202923310279323168092042364991032019.42%992178.79%042174556.51%43489048.76%22438458.33%615458620163273135
_Vs Conference632010002415921100000532421010001912780.66724426600563220224331027932316169484611220525.00%20670.00%042174556.51%43489048.76%22438458.33%615458620163273135
_Vs Division5100100024131130000000136721001000117440.40024386200563220224731027932316154384010316212.50%15473.33%042174556.51%43489048.76%22438458.33%615458620163273135

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2532W211019130192380920423649914
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
25138210111062
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
127401005425
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
136420015637
Derniers 10 Matchs
WLOTWOTL SOWSOL
531001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1032019.42%992178.79%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
310279323165632202
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
42174556.51%43489048.76%22438458.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
615458620163273135


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 - 2019-11-14413Condors-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
22 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
94,809$ 158,000$ 96,980$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 57,157$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 121 1,330$ 160,930$




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
142513802101110624812740010054252913640200156371932110191301145632202923310279323168092042364991032019.42%992178.79%042174556.51%43489048.76%22438458.33%615458620163273135
Total Saison Régulière2513802101110624812740010054252913640200156371932110191301145632202923310279323168092042364991032019.42%992178.79%042174556.51%43489048.76%22438458.33%615458620163273135