Connexion

Heat
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 22 | PP%: 27.78% | PK%: 80.00%
DG: Steve Landry | Morale : 5 | Moyenne d’équipe : 64
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Centre de jeu
Rocket
11-6-0, 22pts
5
FINAL
2 Heat
1-4-0, 2pts
Team Stats
L2StreakL2
6-4-0Home Record1-1-0
5-2-0Away Record0-3-0
6-3-1Last 10 Games1-4-0
4.24Buts par match 3.00
3.65Buts contre par match 4.40
22.37%Pourcentage en avantage numérique27.78%
83.78%Pourcentage en désavantage numérique80.00%
Heat
1-4-0, 2pts
5
FINAL
6 Rocket
11-6-0, 22pts
Team Stats
L2StreakL2
1-1-0Home Record6-4-0
0-3-0Away Record5-2-0
1-4-0Last 10 Games6-3-1
3.00Buts par match 4.24
4.40Buts contre par match 3.65
27.78%Pourcentage en avantage numérique22.37%
80.00%Pourcentage en désavantage numérique83.78%
Meneurs d'équipe
Buts
Kevin Labanc
4
Passes
Matthew Nieto
7
Points
Kevin Labanc
10
Plus/Moins
Frank Corrado
2
Victoires
Michael Hutchinson
1
Pourcentage d’arrêts
Michael Hutchinson
0.885

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
164
32.80 Avg
Pourcentage en avantage numérique
27.8%
5 GF
Début de zone offensive
37.0%
Buts contre
22
4.40 GAA
Tirs contre
174
34.80 Avg
Pourcentage en désavantage numérique
80.0%
5 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralSteve Landry
EntraîneurDan Bylsma
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,988
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite contact 53 / 250
Espoirs0


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 SPÂgeContratSalaire
1Matthew Nieto (R)X100.007127787275797772758072636962584264710241900,000$
2Jake DeBrusk (R)X100.007552807376757370677376656948446663700201500,000$
3Kevin Labanc (R)X100.005927788672707279707170658252465961700204950,000$
4Evgeny Svechnikov (R)X100.006732846487747569766887486847456461690201500,000$
5Philip Varone (R)X100.006924677074737674777471596568633251690262900,000$
6Victor Rask (R)X100.006933777177717371756977617454474864690231950,000$
7Nico Sturm (R)X100.006129866873777461697253706544475451660212500,000$
8Barclay Goodrow (R)X100.007429717166676665626668676145474249650232800,000$
9Peter Cehlarik (R)X100.006445786864696869737167566744445758650211750,000$
10Chris Brown (R)X100.006141797169687263595580516849493323640251700,000$
11Jesper Bratt (R)X100.005647666559686465676462506740407961600182500,000$
12Mathieu Brodeur (R)X100.007028836670757570456858755662512848690261850,000$
13Greg Pateryn (R)X100.007237637172776565567164735861513041680261800,000$
14Rasmus Andersson (R)X100.006536797856616778367661684944456741670201500,000$
15Frank Corrado (R)X100.006740736872737270546755685647474348660231650,000$
16John Gilmour (R)X100.007032756259736472477056625445463744640231600,000$
17Dominik Masin (R)X100.006131826164586546235435724342425931600201500,000$
18Brandon Hickey (R)X100.005926795658585948326340724742424825590203600,000$
Rayé
1Ryan Spooner (R)X100.006231747172717167747768586450474040670242800,000$
2Eric Karlsson (R)X100.007933696376646962596269565344444524620221550,000$
3Ryan Donato (R)X100.007034716075636762696372446342426120620202600,000$
4Vladislav Kamenev (R)X100.006727704669636564565471547042426220590202600,000$
5Tage Thompson (R)X100.005429826561746147616748575643427319570192500,000$
6Radim Zohorna (R)X100.005436725465695756515366405245436220560202500,000$
7Alexander True (R)X100.005939605461506456535350435341415420520191500,000$
8Trevor Carrick (R)X100.005838727761667372367252653744443825640222575,000$
9Petteri Lindbohm (R)X100.005639745962646770426569645345494019630232575,000$
10Christian Jaros (R)X100.006228725957575457296442684842435420590201500,000$
MOYENNE D’ÉQUIPE100.00653475666868686557676361604846514064
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 SPÂgeContratSalaire
1Michael Hutchinson100.00697771727574727776707059582963730262975,000$
2Nathan Lieuwen100.00656565606068616669606360583130640252700,000$
Rayé
1Vitek Vanecek100.00606667535569754853725942425628600203600,000$
2Collin Delia (R)100.00704961686652475459516440407019560222500,000$
MOYENNE D’ÉQUIPE100.0066646663646664616463645050473563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma77706870495064USA421800,000$


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
1Kevin LabancHeat (Cal)RW54610020532871514.29%29719.41224515000000044.44%970002.0600000020
2Matthew NietoHeat (Cal)LW51781115137147117.14%19819.70022213000031072.73%1151001.6200100100
3Philip VaroneHeat (Cal)C53361160188182716.67%510921.840001100001160052.38%16823001.1000000000
4Victor RaskHeat (Cal)C5246-4204111221216.67%17815.69235315000000055.07%6941001.5300000000
5Barclay GoodrowHeat (Cal)RW5022-220638130.00%45410.9600000000000075.00%410000.7300000000
6Frank CorradoHeat (Cal)D5112210012873414.29%913927.88101116000020000.00%007000.2900000000
7Rasmus AnderssonHeat (Cal)D51122205512448.33%1113927.96000015000022000.00%043000.2900000001
8Chris BrownHeat (Cal)C5101-3203674414.29%16212.4300002000040038.64%4410000.3200000000
9Dominik MasinHeat (Cal)D5011-720233100.00%99719.51000010000013000.00%001000.2100000000
10Jake DeBruskHeat (Cal)LW5101-300165194115.26%39819.710002110001220066.67%631000.2000000000
11Nico SturmHeat (Cal)C5101-1004263016.67%4479.4500001000090045.45%1120000.4200000000
12Brandon HickeyHeat (Cal)D5000-200140100.00%0357.190000000001000.00%000000.0000000000
13Evgeny SvechnikovHeat (Cal)RW5000-300839640.00%18216.6000021000009000.00%211000.0000000000
14Greg PaterynHeat (Cal)D3000-200440000.00%43712.490000000000000.00%002000.0000000000
15John GilmourHeat (Cal)D5000-200171000.00%26012.130000000000000.00%010000.0000000000
16Mathieu BrodeurHeat (Cal)D5000-700563500.00%510320.64000010000017000.00%037000.0000000000
17Peter CehlarikHeat (Cal)LW5000-395819680.00%16112.2400000000070071.43%1421000.0000010000
18Trevor CarrickHeat (Cal)D2000020011000.00%02110.550000000000000.00%000000.0000000000
19Jesper BrattHeat (Cal)LW5000-200317220.00%1357.010000000001000.00%030000.0000000000
Statistiques d’équipe totales ou en moyenne90152540-3560101188816458859.15%64146016.2257121613500021501052.37%3383928000.5500110121
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
1Michael HutchinsonHeat (Cal)51200.8854.13218001513057000.000041000
2Nathan LieuwenHeat (Cal)30200.8415.25800074418000.000014000
Statistiques d’équipe totales ou en moyenne81400.8744.43298002217475000.000055000


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 Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander TrueHeat (Cal)C191997-01-01Yes200 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Barclay GoodrowHeat (Cal)RW231993-01-01Yes215 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No850,000$
Brandon HickeyHeat (Cal)D201996-01-01Yes201 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Chris BrownHeat (Cal)C251991-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Christian JarosHeat (Cal)D201996-01-01Yes222 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Collin DeliaHeat (Cal)G221994-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dominik MasinHeat (Cal)D201996-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Eric KarlssonHeat (Cal)LW221994-01-01Yes161 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$No
Evgeny SvechnikovHeat (Cal)RW201996-01-01Yes208 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Frank CorradoHeat (Cal)D231993-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Greg PaterynHeat (Cal)D261990-01-01Yes214 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Jake DeBruskHeat (Cal)LW201996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jesper BrattHeat (Cal)LW181998-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
John GilmourHeat (Cal)D231993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Kevin LabancHeat (Cal)RW201996-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm950,000$0$0$No1,200,000$1,900,000$2,800,000$
Mathieu BrodeurHeat (Cal)D261990-01-01Yes215 Lbs6 ft6NoNoNo1Pro & Farm850,000$0$0$No
Matthew NietoHeat (Cal)LW241992-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Michael HutchinsonHeat (Cal)G261990-01-01No202 Lbs6 ft3NoNoNo2Pro & Farm975,000$0$0$No975,000$
Nathan LieuwenHeat (Cal)G251991-01-01No189 Lbs6 ft5NoNoNo2Pro & Farm700,000$0$0$No700,000$
Nico SturmHeat (Cal)C211995-01-01Yes207 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Peter CehlarikHeat (Cal)LW211995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Petteri LindbohmHeat (Cal)D231993-01-01Yes209 Lbs6 ft3NoNoNo2Pro & Farm575,000$0$0$No600,000$
Philip VaroneHeat (Cal)C261990-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm900,000$0$0$No900,000$
Radim ZohornaHeat (Cal)LW201996-01-01Yes229 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$
Rasmus AnderssonHeat (Cal)D201996-01-01Yes214 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Ryan DonatoHeat (Cal)C201996-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Ryan SpoonerHeat (Cal)C241992-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No850,000$
Tage ThompsonHeat (Cal)RW191997-01-01Yes218 Lbs6 ft7NoNoNo2Pro & Farm500,000$0$0$No500,000$
Trevor CarrickHeat (Cal)D221994-01-01Yes171 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No600,000$
Victor RaskHeat (Cal)C231993-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Vitek VanecekHeat (Cal)G201996-01-01No190 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Vladislav KamenevHeat (Cal)C201996-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3221.91198 Lbs6 ft21.66653,906$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew NietoPhilip VaroneKevin Labanc40122
2Jake DeBruskVictor RaskEvgeny Svechnikov30122
3Peter CehlarikChris BrownBarclay Goodrow20122
4Jesper BrattNico SturmBrandon Hickey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frank CorradoRasmus Andersson40122
2Dominik MasinMathieu Brodeur30122
3John GilmourGreg Pateryn20122
4Frank CorradoRasmus Andersson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew NietoVictor RaskKevin Labanc60122
2Jake DeBruskPhilip VaroneEvgeny Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frank CorradoRasmus Andersson60122
2Dominik MasinMathieu Brodeur40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Philip VaroneJake DeBrusk60122
2Nico SturmEvgeny Svechnikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frank CorradoRasmus Andersson60122
2Dominik MasinMathieu Brodeur40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Nieto60122Frank CorradoRasmus Andersson60122
2Kevin Labanc40122Dominik MasinMathieu Brodeur40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Victor RaskMatthew Nieto60122
2Philip VaroneKevin Labanc40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frank CorradoRasmus Andersson60122
2Dominik MasinMathieu Brodeur40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew NietoPhilip VaroneKevin LabancFrank CorradoRasmus Andersson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew NietoPhilip VaroneKevin LabancDominik MasinRasmus Andersson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake DeBrusk, Nico Sturm, Peter CehlarikChris Brown, Nico SturmPeter Cehlarik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Gilmour, Mathieu Brodeur, Dominik MasinJohn GilmourMathieu Brodeur, Dominik Masin
Tirs de pénalité
Matthew Nieto, Jake DeBrusk, Kevin Labanc, Evgeny Svechnikov, Victor Rask
Gardien
#1 : Michael Hutchinson, #2 : Nathan Lieuwen


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
TotalDomicileVisiteur
# 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
1Rocket514000001522-72110000087130300000715-820.2001525400067201647446440174646011818527.78%25580.00%06512552.00%6813151.91%448253.66%10761105458643
Total514000001522-72110000087130300000715-820.2001525400067201647446440174646011818527.78%25580.00%06512552.00%6813151.91%448253.66%10761105458643
_Since Last GM Reset514000001522-72110000087130300000715-820.2001525400067201647446440174646011818527.78%25580.00%06512552.00%6813151.91%448253.66%10761105458643
_Vs Conference514000001522-72110000087130300000715-820.2001525400067201647446440174646011818527.78%25580.00%06512552.00%6813151.91%448253.66%10761105458643

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2152540164174646011800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000715
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18527.78%25580.00%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
74464406720
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
6512552.00%6813151.91%448253.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10761105458643


Derniers matchs 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 - 2021-11-301Heat1Rocket6ALSommaire du match
2 - 2021-12-019Heat1Rocket3ALSommaire du match
3 - 2021-12-0217Rocket2Heat6BWSommaire du match
4 - 2021-12-0325Rocket5Heat2BLSommaire du match
5 - 2021-12-0433Heat5Rocket6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance3,9752,000
Assistance PCT99.38%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2988 - 99.58% 88,791$177,581$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,092,500$ 1,515,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Heat Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Heat Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Heat Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Heat Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Heat Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA