Heat

GP: 5 | W: 4 | L: 1
GF: 15 | GA: 9 | PP%: 64.29% | PK%: 36.36%
DG: Philippe Dore | Morale : 50 | 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
1Ryan CarpenterX100.00853693846270755561535772546677055720
2Dominik SimonX100.00743491855771755949595866555771050710
3Radim VrbataX100.00503294856262495446515758609684065670
4Marian HossaX100.00493295826658415143475664559985050660
5Zac RinaldoX100.00875085835563444950445362526976049640
6Curtis LazarX100.00663794826462504850455160515464050630
7Alan QuineX100.00623494826361375054475360526067050630
8Saku Maenalanen (R)X100.00603592837261414948445459535765050630
9Michael McLeod (R)X100.00593894856260254751435059504558050600
10Blake PietilaX100.00553495826059254650415063506065050600
11Matt PuempelX100.00483595826657304746415259516063050600
12Jack Rodewald (R)X100.00493495856256254548405061505762050590
13Connor CarrickX100.00633887855466555948595866565769050680
14Kevin GravelX100.00573294837166435049495167506369049660
15Jonas Siegenthaler (R)X100.00553294836757315047495067504861050630
16Tom GilbertX100.00463295826652254751465157509078047611
17Duncan Siemens (R)X100.00453295826850254548455055506063050590
18Andrew MacWilliamX100.00453295816850254549455055506967050590
Rayé
1Alex Formenton (R)X100.00503395895457254647405163504255050580
2Henrik Samuelsson (R)X100.00453095827150254540405055505760050580
3C.J. Smith (R)X100.00463395855457254648405262515762050580
4Matt FrattinX100.00453095816450254541405055507569050580
5Vitaly Abramov (R)X100.00453395864674254547405060504555050580
6Sean Malone (R)X100.00453095845950254540405055505459050570
7Evan McEneny (R)X100.00453195836450254548455055505761050580
8Michael Kapla (R)X100.00453195825950254548455055505761050580
9Keegan Lowe (R)X100.00453195845950254548455055506063050580
10Philip Holm (R)X100.00453195845850254549455055506666050580
MOYENNE D'ÉQUIPE100.0054349483625835484845526051626605162
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
1Linus Ullmark (R)100.0075508180708079757369675766055740
2Landon Bow (R)100.0076258179727682767465574953050690
Rayé
1Mike McKenna100.0072256671767475727465579776051690
2Al Montoya100.0070287375706770696970578972050660
MOYENNE D'ÉQUIPE100.007332757672747773736760736705270
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens80747284787672CAN5222,000,000$


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
1Ryan CarpenterHeat (CGY)C545912014142631415.38%611923.8435847101161160.47%12976001.5100000111
2Radim VrbataHeat (CGY)RW5268000341841011.11%49318.7125757000010042.86%771001.7100000101
3Dominik SimonHeat (CGY)C54155201362451116.67%19619.3900014011162046.77%6274001.0300000100
4Zac RinaldoHeat (CGY)LW5404060107104540.00%19218.5330347000021040.00%522000.8600000110
5Jonas SiegenthalerHeat (CGY)D5033240236330.00%510320.630000600004000.00%012000.5800000000
6Tom GilbertHeat (CGY)D5033200573120.00%710220.590002600004000.00%022000.5800000000
7Kevin GravelHeat (CGY)D5022100454340.00%813026.180220500008000.00%055000.3100000001
8Saku MaenalanenHeat (CGY)RW5112040102105510.00%17715.521011100000000.00%113000.5200000000
9Connor CarrickHeat (CGY)D50111406410830.00%1212925.840000501106000.00%055000.1500000000
10Marian HossaHeat (CGY)RW50112006310560.00%19318.610000200001000.00%274000.2100000000
11Duncan SiemensHeat (CGY)D5011100122000.00%27214.590000000000000.00%006000.2700000000
12Alan QuineHeat (CGY)C5011-1006454120.00%17715.4501101000000047.62%4240000.2600000000
13Michael McLeodHeat (CGY)C5000200001000.00%0183.6100002000010066.67%300000.0000000000
14Curtis LazarHeat (CGY)C5000000403310.00%1418.2600000000050066.67%621000.0000000000
15Jack RodewaldHeat (CGY)RW5000000023010.00%0336.700000000000000.00%000000.0000000000
16Blake PietilaHeat (CGY)LW5000-100555130.00%27515.1000000000000080.00%523000.0000000000
17Matt PuempelHeat (CGY)LW5000400454320.00%29118.3100014000000050.00%423000.0000000000
18Andrew MacWilliamHeat (CGY)D5000000160000.00%27515.060000000002000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne90152540192209479144528210.42%56152416.949132218631232534154.14%2665449000.5200000423
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
1Linus UllmarkHeat (CGY)54100.9441.7730601916085000.000050011
Stats d'équipe Total ou en Moyenne54100.9441.7730601916085000.000050011


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
Al MontoyaHeat (CGY)G341985-01-01No201 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien NHL
Alan QuineHeat (CGY)C261993-01-01No203 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien NHL
Alex FormentonHeat (CGY)LW201999-01-01Yes165 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien NHL
Andrew MacWilliamHeat (CGY)D291990-01-01No214 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm900,000$0$0$NoLien
Blake PietilaHeat (CGY)LW261993-01-01No200 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
C.J. SmithHeat (CGY)LW251994-01-01Yes181 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Connor CarrickHeat (CGY)D251994-01-01No192 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Curtis LazarHeat (CGY)C241995-01-01No205 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien NHL
Dominik SimonHeat (CGY)C251994-01-01No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,800,000$0$0$NoLien NHL
Duncan SiemensHeat (CGY)D261993-01-01Yes210 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Evan McEnenyHeat (CGY)D251994-01-01Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Henrik SamuelssonHeat (CGY)C251994-01-01Yes210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm650,000$0$0$No
Jack RodewaldHeat (CGY)RW251994-01-01Yes189 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm550,000$0$0$NoLien NHL
Jonas SiegenthalerHeat (CGY)D221997-01-01Yes206 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Keegan LoweHeat (CGY)D261993-01-01Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Kevin GravelHeat (CGY)D271992-01-01No211 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Landon BowHeat (CGY)G241995-01-01Yes210 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Linus UllmarkHeat (CGY)G261993-01-01Yes213 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien NHL
Marian HossaHeat (CGY)RW401979-01-01No207 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm800,000$0$0$No
Matt FrattinHeat (CGY)RW311988-01-01No205 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Matt PuempelHeat (CGY)LW261993-01-01No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Michael KaplaHeat (CGY)D251994-01-01Yes200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Michael McLeodHeat (CGY)C211998-01-01Yes188 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm800,000$0$0$No
Mike McKennaHeat (CGY)G361983-01-01No183 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien NHL
Philip HolmHeat (CGY)D281991-01-01Yes190 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Radim VrbataHeat (CGY)RW381981-01-01No194 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm650,000$0$0$No
Ryan CarpenterHeat (CGY)C281991-01-01No200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm625,000$0$0$NoLien NHL
Saku MaenalanenHeat (CGY)RW251994-01-01Yes207 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Sean MaloneHeat (CGY)C241995-01-01Yes190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Tom GilbertHeat (CGY)D361983-01-01No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm700,000$0$0$NoLien
Vitaly AbramovHeat (CGY)RW211998-01-01Yes171 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm650,000$0$0$No
Zac RinaldoHeat (CGY)LW291990-01-01No192 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3227.13198 Lbs6 ft12.28752,344$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zac RinaldoRyan CarpenterRadim Vrbata40122
2Matt PuempelDominik SimonMarian Hossa30122
3Blake PietilaAlan QuineSaku Maenalanen20122
4Ryan CarpenterCurtis LazarJack Rodewald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickKevin Gravel40122
2Jonas SiegenthalerTom Gilbert30122
3Duncan SiemensAndrew MacWilliam20122
4Connor CarrickKevin Gravel10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zac RinaldoRyan CarpenterRadim Vrbata60122
2Matt PuempelDominik SimonMarian Hossa40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickKevin Gravel60122
2Jonas SiegenthalerTom Gilbert40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterDominik Simon60122
2Radim VrbataMarian Hossa40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickKevin Gravel60122
2Jonas SiegenthalerTom Gilbert40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Carpenter60122Connor CarrickKevin Gravel60122
2Dominik Simon40122Jonas SiegenthalerTom Gilbert40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan CarpenterDominik Simon60122
2Radim VrbataMarian Hossa40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickKevin Gravel60122
2Jonas SiegenthalerTom Gilbert40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zac RinaldoRyan CarpenterRadim VrbataConnor CarrickKevin Gravel
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zac RinaldoRyan CarpenterRadim VrbataConnor CarrickKevin Gravel
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael McLeod, Alan Quine, Curtis LazarMichael McLeod, Alan QuineCurtis Lazar
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Duncan Siemens, Andrew MacWilliam, Jonas SiegenthalerDuncan SiemensAndrew MacWilliam, Jonas Siegenthaler
Tirs de Pénalité
Ryan Carpenter, Dominik Simon, Radim Vrbata, Marian Hossa, Zac Rinaldo
Gardien
#1 : Linus Ullmark, #2 : Landon Bow


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
1Red Bull541000001596321000009542200000064280.800152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245
Total541000001596321000009542200000064280.800152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245
_Since Last GM Reset541000001596321000009542200000064280.800152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245
_Vs Conference541000001596321000009542200000064280.800152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W415254014416056229401
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5410000159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000095
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000064
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14964.29%11736.36%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
43504743561
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
499054.44%5510651.89%407057.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10056114459245


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
1 - 2020-01-095Red Bull3Heat 2LSommaire du Match
2 - 2020-01-1013Red Bull2Heat 3WSommaire du Match
3 - 2020-01-1121Heat 4Red Bull3WXSommaire du Match
4 - 2020-01-1229Heat 2Red Bull1WSommaire du Match
5 - 2020-01-1337Red Bull0Heat 4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3015
Assistance6,0002,997
Assistance PCT100.00%99.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 2999 - 99.97% 86,233$258,698$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,407,500$ 2,407,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 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
1954100000159632100000954220000006428152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245
Total Séries54100000159632100000954220000006428152540013561144435047416056229414964.29%11736.36%1499054.44%5510651.89%407057.14%10056114459245