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OTHL - Heat 
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Heat
GP: 82 | W: 60 | L: 19 | OTL: 3 | P: 123
GF: 465 | GA: 195 | PP%: 21.59% | PK%: 85.82%
DG: Alex | Morale : 50 | Moyenne d’équipe : 59
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Centre de jeu
Condors
67-12-3, 137pts
3
FINAL
2 Heat
60-19-3, 123pts
Team Stats
W10StreakL2
34-6-1Home Record31-9-1
33-6-2Away Record29-10-2
10-0-0Last 10 Games5-4-1
5.89Buts par match 5.67
1.90Buts contre par match 2.38
25.08%Pourcentage en avantage numérique21.59%
86.32%Pourcentage en désavantage numérique85.82%
Gulls
61-18-3, 125pts
3
FINAL
2 Heat
60-19-3, 123pts
Team Stats
W5StreakL2
34-7-0Home Record31-9-1
27-11-3Away Record29-10-2
8-1-1Last 10 Games5-4-1
5.24Buts par match 5.67
2.41Buts contre par match 2.38
20.00%Pourcentage en avantage numérique21.59%
86.21%Pourcentage en désavantage numérique85.82%
Meneurs d'équipe
Rasmus AsplundButs
Rasmus Asplund
61
Passes
Mike Hardman
92
Points
Mike Hardman
137
Steven SantiniPlus/Moins
Steven Santini
108
Evan CormierVictoires
Evan Cormier
60
Evan CormierPourcentage d’arrêts
Evan Cormier
0.872

Statistiques d’équipe
Buts pour
465
5.67 GFG
Tirs pour
2801
34.16 Avg
Pourcentage en avantage numérique
21.6%
57 GF
Début de zone offensive
42.2%
Buts contre
195
2.38 GAA
Tirs contre
1488
18.15 Avg
Pourcentage en désavantage numérique
85.8%
60 GA
Début de la zone défensive
32.5%
Informations de l'équipe

Directeur généralAlex
EntraîneurTroy Mann
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1Joachim Blichfeld
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,851
Billets de saison0


Informations de la formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 50
Espoirs36


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
1Joel KellmanXX100.0069697077696564698067676464474767506402831,000,000$
2Rasmus AsplundXXX100.006541997767637158376276732550507250640242925,000$
3David Gustafsson (R)X100.007473768073585765806362655946466550630222925,000$
4Mike Hardman (R)XX100.009947996876574560447064682544446550620231925,000$
5Mathieu OlivierX100.008699406480577061455759752547476250610253750,000$
6Vitaly AbramovXX100.007265876865626263506261635844446450600242880,000$
7Nick Merkley (R)XX100.0073688369686060637965576354444462506002521,075,833$
8Reese Johnson (R)X100.007671866371606256505058635544446050570231925,000$
9Tyrell GoulbourneXX100.006670576370565947504246564444445050520281773,333$
10Steven SantiniX100.007976877276555654253953675055555950610271900,000$
11Jake BeanX100.0063419167696578642560475975484857506002321,363,333$
12Zach TrotmanX100.008280857180484950254339673755555450600312750,000$
13Samuel MorinX100.0084465169795448522539486325454555505802611,363,333$
14Rob O'GaraX100.007680666380525446253640613844445050560282750,000$
15Blake HillmanX100.007368855668525544253439593744444950530263750,000$
Rayé
1Brad MaloneXXX100.007579646179626267806065716265666650640331750,000$
MOYENNE D’ÉQUIPE100.00766777687358605747535565464848605060
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
1Evan Cormier (R)100.00495366804749505448483044445050530243750,000$
Rayé
MOYENNE D’ÉQUIPE100.0049536680474950544848304444505053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Troy Mann68656968797473CAN511700,000$


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

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# 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
1Mike HardmanHeat (CGY)LW/RW824592137100920228953289523513.72%17152318.589152446197303101781066.18%6800031.8012000689
2Vitaly AbramovHeat (CGY)LW/RW8246821289820043992767219716.67%6139216.9851520271870000277560.27%7300051.8400000676
3Nick MerkleyHeat (CGY)C/RW82566512179480701212756820520.36%11139417.00437261180005965171.62%75400051.74000001062
4David GustafssonHeat (CGY)C75457411985415741662739521016.48%19143019.07710173016204471576171.07%128600031.66120016104
5Rasmus AsplundHeat (CGY)C/LW/RW5161411028520141362548718424.02%16109621.51951435119123172386060.15%135000081.8600000784
6Reese JohnsonHeat (CGY)RW82474996627115104942856723716.49%12121414.81325856000026069.05%8400031.5800102357
7Steven SantiniHeat (CGY)D631165761087201662491396612.09%65128420.39371031144123523300 0.00%000001.1800000343
8Zach TrotmanHeat (CGY)D821261738291151544769195917.39%66150118.3128102516723542681050.00%200000.9700201122
9Brad MaloneHeat (CGY)C/LW/RW322943725530077571805113616.11%1470121.92437177113461326268.09%4700012.0501000626
10Joel KellmanHeat (CGY)C/RW483335684922061961935515017.10%14100320.91167169110191367177.38%8400041.3501000337
11Mathieu OlivierHeat (CGY)RW433628646214630141311864012619.35%567615.734591483000003068.97%2900011.8900122221
12Samuel MorinHeat (CGY)D828536164111152304264224112.50%56110213.440223270111823050.00%1000001.1100000002
13Jake BeanHeat (CGY)D569445354420654550132618.00%45109419.553121528120011120220 0.00%000000.9700000111
14Tyrell GoulbourneHeat (CGY)LW/RW8212243669900945014340968.39%9134816.4411243620251471166.99%10300000.5300000301
15Logan StanleyFlamesD476192533260632637112116.22%2780517.1424614910112127100.00%100000.6200000011
16Blake HillmanHeat (CGY)D82515202644062332961617.24%1588610.810112150000342045.58%28300000.4500000001
17Rob O'GaraHeat (CGY)D821181933762092213912232.56%4389310.9001142200001020050.00%400000.4300202010
Statistiques d’équipe totales ou en moyenne1153462808127011441024100173811832772792202816.67%4401935116.78571001573301713111728722169571165.49%4178000331.3126628576057
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
1Evan CormierHeat (CGY)82601830.8722.3047486918214200300.7508820000
Statistiques d’équipe totales ou en moyenne82601830.8722.3047486918214200300.7508820000


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
Blake HillmanHeat (CGY)D261996-01-26No181 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brad MaloneHeat (CGY)C/LW/RW331989-05-19No217 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
David GustafssonHeat (CGY)C222000-04-11Yes196 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Evan CormierHeat (CGY)G241997-11-06Yes200 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Jake BeanHeat (CGY)D231998-06-09No186 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$0$0$No1,363,333$Lien / Lien NHL
Joel KellmanHeat (CGY)C/RW281994-05-25No192 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Mathieu OlivierHeat (CGY)RW251997-02-11No209 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Mike HardmanHeat (CGY)LW/RW231999-02-05Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien
Nick MerkleyHeat (CGY)C/RW251997-05-22Yes194 Lbs5 ft10NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien
Rasmus AsplundHeat (CGY)C/LW/RW241997-12-03No189 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Reese JohnsonHeat (CGY)RW231998-07-10Yes193 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Rob O'GaraHeat (CGY)D281993-07-06No214 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Samuel MorinHeat (CGY)D261995-07-12No202 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$0$0$NoLien
Steven SantiniHeat (CGY)D271995-03-07No205 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Tyrell GoulbourneHeat (CGY)LW/RW281994-01-26No195 Lbs5 ft11NoNoNo1Pro & Farm773,333$0$0$NoLien / Lien NHL
Vitaly AbramovHeat (CGY)LW/RW241998-05-08No181 Lbs5 ft10NoNoNo2Pro & Farm880,000$0$0$No880,000$Lien / Lien NHL
Zach TrotmanHeat (CGY)D311990-08-26No217 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1725.88199 Lbs6 ft11.88915,049$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanRasmus AsplundJoel Kellman40122
2Vitaly AbramovDavid GustafssonNick Merkley30122
3Tyrell GoulbourneBlake HillmanReese Johnson20122
4Joel KellmanDavid Gustafsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Trotman40122
2Jake Bean30122
3Samuel MorinRob O'Gara20122
4Blake Hillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanRasmus AsplundJoel Kellman60122
2Vitaly AbramovDavid GustafssonNick Merkley40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Trotman60122
2Jake Bean40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundJoel Kellman60122
2David GustafssonMike Hardman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Trotman60122
2Jake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Asplund60122Zach Trotman60122
2Joel Kellman40122Jake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundJoel Kellman60122
2David GustafssonMike Hardman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Trotman60122
2Jake Bean40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanRasmus AsplundJoel KellmanZach Trotman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanRasmus AsplundJoel KellmanZach Trotman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Reese Johnson, Tyrell Goulbourne, Nick MerkleyReese Johnson, Tyrell GoulbourneNick Merkley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Morin, Rob O'Gara, Blake HillmanSamuel MorinRob O'Gara, Blake Hillman
Tirs de pénalité
, Joel Kellman, David Gustafsson, Mike Hardman, Nick Merkley
Gardien
#1 : Evan Cormier, #2 :
Lignes d’attaque personnalisées en prolongation
Rasmus Asplund, Joel Kellman, David Gustafsson, Mike Hardman, Nick Merkley, Vitaly Abramov, Vitaly Abramov, Reese Johnson, Tyrell Goulbourne, ,
Lignes de défense personnalisées en prolongation
, Zach Trotman, , Jake Bean, Samuel Morin


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
1 Americans210000016601000000134-11100000032130.7506101600200157104551973943875184013314012433.33%14285.71%01371228460.03%971176155.14%833137360.67%251719341516474906503
2Admirals220000001055110000007341100000032141.0001018280020015710456897394387518329293011327.27%11281.82%11371228460.03%971176155.14%833137360.67%251719341516474906503
3Barracudas550000004664033000000251242200000021516101.0004684130022001571045214973943875186322401199333.33%19384.21%11371228460.03%971176155.14%833137360.67%251719341516474906503
4Bears220000002021811000000725110000001301341.000203757012001571045121973943875183471647100.00%7185.71%01371228460.03%971176155.14%833137360.67%251719341516474906503
5Bruins3210000015961100000053221100000106440.6671526410020015710459597394387518791855588450.00%18383.33%01371228460.03%971176155.14%833137360.67%251719341516474906503
6Canucks3020001078-1201000105501010000023-120.3337111800200157104568973943875188027385113215.38%16193.75%11371228460.03%971176155.14%833137360.67%251719341516474906503
7Checkers2200000013310110000007161100000062441.0001325380020015710456697394387518271018423133.33%80100.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
8Comets21100000871110000004221010000045-120.50081422002001571045409739438751839825276233.33%9455.56%01371228460.03%971176155.14%833137360.67%251719341516474906503
9Condors40400000821-132020000059-420200000312-900.0008132100200157104568973943875189829686721419.05%27774.07%01371228460.03%971176155.14%833137360.67%251719341516474906503
10Crunch220000002141711000000113811000000101941.0002138590020015710459597394387518219204222100.00%9188.89%01371228460.03%971176155.14%833137360.67%251719341516474906503
11Eagles44000000404362200000021318220000001911881.00040711110120015710452459739438751850153588500.00%17288.24%11371228460.03%971176155.14%833137360.67%251719341516474906503
12Griffins21100000981110000006241010000036-320.500916250020015710453797394387518461532449111.11%16475.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
13Gulls632010002120130201000813-533000000137680.66721335400200157104513597394387518138356314122522.73%27292.59%11371228460.03%971176155.14%833137360.67%251719341516474906503
14IceHogs201010005501010000023-11000100032120.50058130020015710454397394387518451633369111.11%12283.33%01371228460.03%971176155.14%833137360.67%251719341516474906503
15Mariners2010100036-3100010002111010000015-420.500347002001571045689739438751842183439700.00%15473.33%11371228460.03%971176155.14%833137360.67%251719341516474906503
16Marlies2110000037-41010000005-51100000032120.5003580020015710453497394387518471522441616.25%10190.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
17Monsters211000008711010000023-11100000064220.500815230020015710454497394387518351244361218.33%10190.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
18Moose22000000853110000005321100000032141.000815230020015710455397394387518481531529111.11%13284.62%11371228460.03%971176155.14%833137360.67%251719341516474906503
19Penguins210001001183110000008441000010034-130.7501120310020015710459197394387518581417405240.00%6266.67%11371228460.03%971176155.14%833137360.67%251719341516474906503
20Phantoms22000000184141100000072511000000112941.000183250002001571045799739438751828823445240.00%8187.50%11371228460.03%971176155.14%833137360.67%251719341516474906503
21Rampage 22000000183151100000082611000000101941.000183351002001571045102973943875182882341000.00%40100.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
22Reign5410000015105220000006333210000097280.8001528430020015710451039739438751873327610120735.00%28582.14%01371228460.03%971176155.14%833137360.67%251719341516474906503
23Roadrunners44000000353322200000019217220000001611581.00035599401200157104521197394387518483042995240.00%200100.00%11371228460.03%971176155.14%833137360.67%251719341516474906503
24Rocket3110010079-2110000003212010010047-330.5007111800200157104553973943875184914425713323.08%21480.95%01371228460.03%971176155.14%833137360.67%251719341516474906503
25Senators220000001468110000006151100000085341.0001427410020015710458097394387518441536404125.00%18288.89%01371228460.03%971176155.14%833137360.67%251719341516474906503
26Sound Tigers22000000171161100000070711000000101941.00017324901200157104590973943875182411648300.00%80100.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
27Stars220000001831511000000111101100000072541.00018335100200157104578973943875183342464000.00%110100.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
28Thunderbirds31200000811-32110000057-21010000034-120.3338122000200157104580973943875186411307016318.75%15380.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
29Wild2200000018018110000009091100000090941.000183351022001571045102973943875182553146400.00%90100.00%11371228460.03%971176155.14%833137360.67%251719341516474906503
30Wolf Pack22000000233201100000011110110000001221041.000234164002001571045107973943875182162240400.00%110100.00%01371228460.03%971176155.14%833137360.67%251719341516474906503
31Wolves2200000012111110000004131100000080841.00012203201200157104580973943875182910144910220.00%6183.33%01371228460.03%971176155.14%833137360.67%251719341516474906503
Total82561903211465195270412890201122992137412810012002361031331230.75046582412890920015710452801973943875181488451103017422645721.59%4236085.82%111371228460.03%971176155.14%833137360.67%251719341516474906503
_Since Last GM Reset82561903211465195270412890201122992137412810012002361031331230.75046582412890920015710452801973943875181488451103017422645721.59%4236085.82%111371228460.03%971176155.14%833137360.67%251719341516474906503
_Vs Conference4633903001263981652315502001135498623184010001284979730.79326346272507200157104516219739438751879226157410121443222.22%2333286.27%81371228460.03%971176155.14%833137360.67%251719341516474906503

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82123L24658241289280114884511030174209
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8256193211465195
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41289201122992
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4128101200236103
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2645721.59%4236085.82%11
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
973943875182001571045
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
1371228460.03%971176155.14%833137360.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
251719341516474906503


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
2 - 2021-11-1215Gulls7Heat2BLSommaire du match
3 - 2021-11-1327Heat7Bruins1AWSommaire du match
4 - 2021-11-1429Heat5Gulls3AWSommaire du match
6 - 2021-11-1654Thunderbirds4Heat1BLSommaire du match
8 - 2021-11-1870Heat11Barracudas4AWSommaire du match
10 - 2021-11-2087Barracudas0Heat8BWSommaire du match
12 - 2021-11-2297Heat2Reign4ALSommaire du match
13 - 2021-11-23111Heat3Rocket5ALSommaire du match
15 - 2021-11-25126Canucks2Heat3BWXXSommaire du match
17 - 2021-11-27150Eagles2Heat10BWSommaire du match
20 - 2021-11-30169Barracudas0Heat6BWSommaire du match
22 - 2021-12-02189Heat2Condors6ALSommaire du match
23 - 2021-12-03197Heat8Eagles1AWSommaire du match
24 - 2021-12-04215Reign2Heat4BWSommaire du match
26 - 2021-12-06234Roadrunners1Heat10BWSommaire du match
28 - 2021-12-08253Heat10Roadrunners1AWSommaire du match
30 - 2021-12-10266Canucks3Heat2BLSommaire du match
31 - 2021-12-11279Heat12Wolf Pack2AWSommaire du match
34 - 2021-12-14298Wolf Pack1Heat11BWSommaire du match
35 - 2021-12-15310Heat8Senators5AWSommaire du match
37 - 2021-12-17327Heat1Mariners5ALSommaire du match
38 - 2021-12-18338Bruins3Heat5BWSommaire du match
40 - 2021-12-20358Phantoms2Heat7BWSommaire du match
43 - 2021-12-23379Heat5Gulls2AWSommaire du match
44 - 2021-12-24389Heat9Wild0AWSommaire du match
46 - 2021-12-26408Wolves1Heat4BWSommaire du match
48 - 2021-12-28422Heat13Bears0AWSommaire du match
50 - 2021-12-30440Wild0Heat9BWSommaire du match
51 - 2021-12-31457Heat3Thunderbirds4ALSommaire du match
53 - 2022-01-02470Eagles1Heat11BWSommaire du match
55 - 2022-01-04488Monsters3Heat2BLSommaire du match
57 - 2022-01-06507Heat3Griffins6ALSommaire du match
59 - 2022-01-08521Barracudas1Heat11BWSommaire du match
60 - 2022-01-09532Heat10Barracudas1AWSommaire du match
62 - 2022-01-11553Admirals3Heat7BWSommaire du match
64 - 2022-01-13562Heat10Rampage 1AWSommaire du match
66 - 2022-01-15584Heat3Bruins5ALSommaire du match
67 - 2022-01-16597Heat11Phantoms2AWSommaire du match
68 - 2022-01-17606Stars1Heat11BWSommaire du match
70 - 2022-01-19626Thunderbirds3Heat4BWSommaire du match
72 - 2022-01-21643Heat11Eagles0AWSommaire du match
74 - 2022-01-23659Crunch3Heat11BWSommaire du match
76 - 2022-01-25680Heat6Monsters4AWSommaire du match
77 - 2022-01-26693Heat10Sound Tigers1AWSommaire du match
78 - 2022-01-27701Comets2Heat4BWSommaire du match
81 - 2022-01-30729Roadrunners1Heat9BWSommaire du match
83 - 2022-02-01743Checkers1Heat7BWSommaire du match
84 - 2022-02-02760Heat10Crunch1AWSommaire du match
86 - 2022-02-04774Griffins2Heat6BWSommaire du match
88 - 2022-02-06795Heat3Moose2AWSommaire du match
89 - 2022-02-07807Senators1Heat6BWSommaire du match
91 - 2022-02-09821Heat3Admirals2AWSommaire du match
93 - 2022-02-11840Mariners1Heat2BWXSommaire du match
94 - 2022-02-12847Heat3 Americans2AWSommaire du match
96 - 2022-02-14867Heat7Stars2AWSommaire du match
97 - 2022-02-15882Heat1Condors6ALSommaire du match
99 - 2022-02-17894Reign1Heat2BWSommaire du match
101 - 2022-02-19913Penguins4Heat8BWSommaire du match
103 - 2022-02-21934Marlies5Heat0BLSommaire du match
105 - 2022-02-23949Heat3Marlies2AWSommaire du match
107 - 2022-02-25967Heat6Checkers2AWSommaire du match
108 - 2022-02-26976Heat8Wolves0AWSommaire du match
110 - 2022-02-28992Sound Tigers0Heat7BWSommaire du match
113 - 2022-03-031015 Americans4Heat3BLXXSommaire du match
114 - 2022-03-041032Rampage 2Heat8BWSommaire du match
116 - 2022-03-061051Heat3IceHogs2AWXSommaire du match
118 - 2022-03-081066IceHogs3Heat2BLSommaire du match
119 - 2022-03-091081Heat6Roadrunners0AWSommaire du match
121 - 2022-03-111098Moose3Heat5BWSommaire du match
122 - 2022-03-121103Heat1Rocket2ALXSommaire du match
124 - 2022-03-141118Heat4Comets5ALSommaire du match
126 - 2022-03-161137Heat3Gulls2AWSommaire du match
127 - 2022-03-171146Gulls3Heat4BWXSommaire du match
130 - 2022-03-201170Bears2Heat7BWSommaire du match
133 - 2022-03-231196Condors6Heat3BLSommaire du match
134 - 2022-03-241207Heat2Canucks3ALSommaire du match
135 - 2022-03-251217Heat3Penguins4ALXSommaire du match
137 - 2022-03-271233Heat3Reign1AWSommaire du match
138 - 2022-03-281243Rocket2Heat3BWSommaire du match
141 - 2022-03-311265Heat4Reign2AWSommaire du match
142 - 2022-04-011276Condors3Heat2BLSommaire du match
146 - 2022-04-051310Gulls3Heat2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,34638,553
Assistance PCT45.54%94.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1851 - 61.71% 91,088$3,734,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,245,507$ 1,555,582$ 1,547,582$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,511$ 1,545,493$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,240$ 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