Heat

GP: 43 | W: 24 | L: 17 | OTL: 2 | P: 50
GF: 154 | GA: 105 | PP%: 15.34% | PK%: 79.78%
DG: Martin Thibault | Morale : 56 | Moyenne d'Équipe : 63
Prochain matchs #696 vs Barracuda
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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)XXX100.008042886697697166546270636260628858650
2Adam ErneXX100.008752766380687862556462646367697566640
3Chris KunitzX100.008139826472646963516462656190812663640
4Andy AndreoffX100.006544796078949558645959626075685357630
5Alan QuineX100.006037896775756566706566606371665366630
6Michael MerschX100.006937886183939160625859605673675157630
7Ty RattieX100.006435936771696366516564636271677366630
8Juho LammikkoXXX100.006937896279766561696456705765636667620
9Mike VecchioneX100.005537875969939058635855575371665966600
10Dominic ToninatoX100.005837885980767158685961576269655658600
11Ville MeskanenX100.006036925875939157625754565267646153600
12Bobby ButlerX100.005836915672939155575452534980725358590
13Rasmus Sandin (R)X100.005636906071857959306253565159626667600
14Frank CorradoX100.006337895675837754305251534671665257590
15Urho Vaakanainen (R)X100.005535936374736262305754564660628566590
Rayé
1Nathan WalkerX100.005337875867776958575956585569656119580
2Jonathan Ang (R)X100.005437875657949555625651545361636419570
3David SchlemkoX100.006336926176836259306056724880724035640
MOYENNE D'ÉQUIPE100.00643888617581776054605860567067605561
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 Lagace100.00786664787776787776787771754756730
Rayé
1Scott Wedgewood100.00758280797474757474757473774620730
2Ivan Kulbakov100.00717472787069717069717069736019690
MOYENNE D'ÉQUIPE100.0075747278747375747375747175513272
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)C4333235639208982034514716.26%1462114.463141331000007164.71%78200031.8000000852
2Adam ErneHeat (Cal)LW/RW43243054405810108781824314113.19%2264414.9921313310000223154.55%4400011.6801110465
3Chris KunitzHeat (Cal)LW43122537233354532101327511.88%143999.2900000000003065.52%2900001.8501010313
4Ty RattieHeat (Cal)RW431819372320628101398917.82%143979.2500000000002068.97%2900001.8600000154
5Juho LammikkoHeat (Cal)C/LW/RW33924332560115969213813.04%73169.6000000000002166.85%36500002.0800000014
6Antoine RousselCalgary FlamesLW/RW245152014351543385617498.93%1053622.37257161001014780048.98%4900000.7401111130
7Rasmus SandinHeat (Cal)D165914917531642172211.90%1534321.474373637000012100.00%000000.8200001101
8Urho VaakanainenHeat (Cal)D192810922040144119394.88%1939820.962573348000011000.00%000000.5000000010
9Ryan SpoonerCalgary FlamesC/LW441532036143728.57%07118.0010139000180073.33%1500001.3900000000
10Andy WelinskiCalgary FlamesD413458011163216.67%310426.1202229000010000.00%000000.7700000000
11Mike VecchioneHeat (Cal)C431234202141125.00%0270.6500001000021035.71%1400002.1600000010
12Michael Del ZottoCalgary FlamesD71232100148161146.25%516423.55101923000022000.00%000000.3600000000
13Bobby ButlerHeat (Cal)RW31122000121150.00%0144.770000000000100.00%000002.8000000001
14Dominic ToninatoHeat (Cal)C3000000000010.00%051.87000000000200100.00%200000.0000000000
15Jonathan AngHeat (Cal)C3000100310030.00%0227.61000010000700100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne3311161622781991973532537183724262913.86%123407012.30151732125295101517820364.41%133200041.3703232182320
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)41221620.9292.402403439613610320.8005410845
Stats d'équipe Total ou en Moyenne41221620.9292.402403439613610320.8005410845


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
Adam ErneHeat (Cal)LW/RW241995-04-20No214 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
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
Chris KunitzHeat (Cal)LW391979-09-26No188 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$0$0$NoLien
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
Urho VaakanainenHeat (Cal)D201999-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$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
2125.48194 Lbs6 ft02.71561,905$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Adam ErneAlan Quine30122
3Chris KunitzTy 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
1Barracuda806001011332-1940300100614-840300001718-1120.1251323361072463331674714625391728368891453200.00%39879.49%0651130449.92%673155543.28%31563549.61%9657101161290463216
2Condors72500000202003120000010100413000001010040.28620375710724633322347146253917229677513328414.29%31970.97%0651130449.92%673155543.28%31563549.61%9657101161290463216
3Eagles430010002112922000000105521001000117481.00021345500724633322647146253917141343010910220.00%14471.43%0651130449.92%673155543.28%31563549.61%9657101161290463216
4Gulls43100000188102110000063322000000125760.7501828460072463331464714625391713836328125416.00%16381.25%0651130449.92%673155543.28%31563549.61%9657101161290463216
5Moose2200000012482200000012480000000000041.0001218300072463331144714625391756151246900.00%4175.00%0651130449.92%673155543.28%31563549.61%9657101161290463216
6Rampage211000004311010000012-11100000031220.50046100072463332947146253917592422254250.00%9188.89%0651130449.92%673155543.28%31563549.61%9657101161290463216
7Reign660000004253744000000305252200000012012121.000427912104724633331147146253917175486013822940.91%24195.83%0651130449.92%673155543.28%31563549.61%9657101161290463216
8Roadrunners62202000151322110000044041102000119280.6671524390072463331634714625391722269639031516.13%28678.57%0651130449.92%673155543.28%31563549.61%9657101161290463216
9Stars2020000013-21010000001-11010000012-100.000112007246333444714625391772152037400.00%10280.00%0651130449.92%673155543.28%31563549.61%9657101161290463216
Total432117031011541054921119001007948312210803001755718500.58115426441824724633314844714625391714423964098271762715.34%1783679.78%0651130449.92%673155543.28%31563549.61%9657101161290463216
11Wild22000000853000000000002200000085341.00081422007246333614714625391767206231119.09%3166.67%0651130449.92%673155543.28%31563549.61%9657101161290463216
_Since Last GM Reset432117031011541054921119001007948312210803001755718500.58115426441824724633314844714625391714423964098271762715.34%1783679.78%0651130449.92%673155543.28%31563549.61%9657101161290463216
_Vs Conference178801000544311734000002118310540100033258180.52954921461072463335834714625391756816015332757915.79%671774.63%0651130449.92%673155543.28%31563549.61%9657101161290463216
_Vs Division12300100046271962000000231211610010002315880.3334673119007246333474471462539173951089024038513.16%40977.50%0651130449.92%673155543.28%31563549.61%9657101161290463216

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4350L11542644181484144239640982724
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4321173101154105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2111901007948
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2210830017557
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1762715.34%1783679.78%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
471462539177246333
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
651130449.92%673155543.28%31563549.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9657101161290463216


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 - 2020-01-01696Barracuda-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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
149,810$ 118,000$ 71,980$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 88,439$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 1,124$ 84,300$




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
144321170310115410549211190010079483122108030017557185015426441824724633314844714625391714423964098271762715.34%1783679.78%0651130449.92%673155543.28%31563549.61%9657101161290463216
Total Saison Régulière4321170310115410549211190010079483122108030017557185015426441824724633314844714625391714423964098271762715.34%1783679.78%0651130449.92%673155543.28%31563549.61%9657101161290463216