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Heat
GP: 5 | W: 1 | L: 4
GF: 8 | GA: 11 | PP%: 9.09% | PK%: 53.85%
DG: Ray Whiddon | Morale : 17 | Moyenne d’équipe : 59

Centre de jeu
Americans
5-5-0, 10pts
1
0 Heat
1-4-0, 2pts
Team Stats
L4SéquenceL1
2-3-0Fiche domicile0-2-0
3-2-0Fiche domicile1-2-0
5-5-0Derniers 10 matchs1-2-2
2.70Buts par match 1.60
2.80Buts contre par match 2.20
34.78%Pourcentage en avantage numérique9.09%
83.33%Pourcentage en désavantage numérique53.85%
Heat
1-4-0, 2pts
2
4 Americans
5-5-0, 10pts
Team Stats
L1SéquenceL4
0-2-0Fiche domicile2-3-0
1-2-0Fiche domicile3-2-0
1-2-2Derniers 10 matchs5-5-0
1.60Buts par match 2.70
2.20Buts contre par match 2.80
9.09%Pourcentage en avantage numérique34.78%
53.85%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Mike Hardman
3
Passes
William Villeneuve
4
Points
Mike Hardman
5
Plus/Moins
William Villeneuve
5
Victoires
Erik Portillo
1
Pourcentage d’arrêts
Felix Sandstrom
0.878

Statistiques d’équipe
Buts pour
8
1.60 GFG
Tirs pour
85
17.00 Avg
Pourcentage en avantage numérique
9.1%
1 GF
Début de zone offensive
41.7%
Buts contre
11
2.20 GAA
Tirs contre
85
17.00 Avg
Pourcentage en désavantage numérique
53.8%%
6 GA
Début de la zone défensive
31.4%
Informations de l'équipe

Directeur généralRay Whiddon
EntraîneurAdam Gill
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,711
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 100
Espoirs101


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
1Mavrik Bourque (R)X100.006542988169639065616468682556576680660241894,167$
2Mike HardmanX100.008176887476737666506268655950506277650271990,000$
3Tyler MotteXXX100.0078449884685972594760597625737662806503112,600,000$
4Mark KastelicXXX100.0099995585885778607960586625666662806502721,402,000$
5Ryan Suzuki (R)X100.0078728871758186668170596554474762776502521,243,000$
6Oskar Back (R)X100.0063429774775990665866617525555564286502631,485,000$
7Dylan Roobroeck (R)X100.0082818268838288597451656459474761766302231,390,000$
8Benoit-Olivier GroulxX100.0074737666735249638061616159474760675902621,340,000$
9Bokondji ImamaX100.009499497983436057255359602549495671590291914,000$
10Dylan Peterson (R)X100.0070776067796669537045595858474657645702431,353,000$
11Curtis DouglasX100.0079945265945353536948546253464657745702621,066,000$
12Aku RatyX100.0075718568745454535056486045474753765602531,108,000$
13Luca Pinelli (R)X100.0060596581605352557165435542454554755602131,284,000$
14Shakir Mukhamadullin (R)X100.0070439273797568692562527925504961536702411,294,167$
15Kyle BurroughsX100.0078956767724755602548486625656554666003112,555,000$
16Shai Buium (R)X100.0082799467815455502546406438474751665902331,287,000$
17William VilleneuveX100.007269796971525156255543593947475175570241817,778$
18Aaron NessX100.0070668262656469462535405539474648635503611,000,000$
19Cole ClaytonX100.0075738364735254472539395837464649335502631,336,000$
Rayé
1Anthony Romano (R)XXX100.0075679763674545476145455944474751585202531,320,000$
MOYENNE D’ÉQUIPE100.00767179717559665851555364405151576760
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
1Felix Sandstrom100.004944558149495456525030454449795302921,585,000$
2Joe Goalie (R)100.00505050505050505050505011504844N02511,000,000$
Rayé
1Erik Portillo (R)100.00484860904750575954503047474772560251875,000$
MOYENNE D’ÉQUIPE100.0049475574495054555250373131496651
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Gill40404040404040TUR8111,000,000$


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
1Mike HardmanHeat (CAL)LW5325440810202415.00%111623.2400028000070060.00%510100.8600000110
2William VilleneuveHeat (CAL)D5044520692480%113226.4001101200009000%002000.6100000001
3Ryan SuzukiHeat (CAL)C521310098126716.67%110921.84011010000021068.57%3541000.5500000100
4Dylan RoobroeckHeat (CAL)C52023401812202100.00%012324.6300009000070063.33%3003000.3200000000
5Connor BrownFlamesRW30223004611620%17023.5600015000000047.14%7013000.5700000000
6Michael KesselringFlamesD31123202965316.67%38327.941015600005000%032000.4800000000
7Mavrik BourqueHeat (CAL)C2011-100314330%13919.9900023000000066.67%3020000.5000000000
8Bokondji ImamaHeat (CAL)LW50110235956330%29118.3100018000020050.00%220000.2200001000
9Oskar BackHeat (CAL)C5011000273250%37515.0200000000000022.22%911000.2700000000
10Aaron NessHeat (CAL)D5000000681100%310420.840000800007000%10000000000000
11Tyler MotteHeat (CAL)C/LW/RW2000-200631110%03115.640000000001000%30200000000000
12Benoit-Olivier GroulxHeat (CAL)C5000000542110%05811.7200010000140066.67%121000000000000
13Aku RatyHeat (CAL)RW5000000395110%29619.3000029000010040.00%52200000000000
14Dylan PetersonHeat (CAL)C5000000430000%0204.0200000000000050.00%21000000000000
15Kyle BurroughsHeat (CAL)D5000-21010785000%29819.700000400004000%00100000011000
16Mark KastelicHeat (CAL)C/LW/RW2000-240330100%02110.710000000000000%00000000000000
17Shai BuiumHeat (CAL)D3000-100350000%24715.780000000000000%00100000000000
18Cole ClaytonHeat (CAL)D4000-100120000%04110.390000100002000%00000000000000
19Anthony RomanoHeat (CAL)C/LW/RW3000000121000%13712.450000100003000%00000000000000
20Curtis DouglasHeat (CAL)C5000020000000%071.490000000000000%00000000000000
21Shakir MukhamadullinHeat (CAL)D5000000354220%310821.710000400004000%00200000000000
22Luca PinelliHeat (CAL)C5000000000000%020.510000000000000%00000000000000
23Nathan AspinallFlamesC/LW/RW1000000100000%044.750000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne93813211051151041198538429.41%26152116.3612314980001661055.39%2041820100.2800012211
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
1Erik PortilloHeat (CAL)31110.8641.931870064421000030000
2Felix SandstromHeat (CAL)30110.8782.501200054131000023000
Statistiques d’équipe totales ou en moyenne61220.8712.143080011855200053000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron NessHeat (CAL)D361990-05-18USANo188 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Aku RatyHeat (CAL)RW252001-07-05FINNo190 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,108,000$0$0$No1,108,000$1,108,000$-------1,108,000$1,108,000$-------NoNo-------Lien
Anthony RomanoHeat (CAL)C/LW/RW252000-10-07ONYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,320,000$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Lien
Benoit-Olivier GroulxHeat (CAL)C262000-02-06FRANo198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,340,000$0$0$No1,340,000$--------1,340,000$--------No--------Lien
Bokondji ImamaHeat (CAL)LW291996-08-03CANNo221 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm914,000$0$0$No---------------------------Lien / Lien NHL
Cole ClaytonHeat (CAL)D262000-02-29ABNo198 Lbs6 ft2NoNoTrade2025-01-31NoNo32025-10-22FalseFalsePro & Farm1,336,000$0$0$No1,336,000$1,336,000$-------1,336,000$1,336,000$-------NoNo-------Lien
Curtis DouglasHeat (CAL)C262000-03-06ONTNo242 Lbs6 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,066,000$0$0$No1,066,000$--------1,066,000$--------No--------Lien
Dylan PetersonHeat (CAL)C242002-01-08USAYes203 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,353,000$0$0$No1,353,000$1,353,000$-------1,353,000$1,353,000$-------NoNo-------Lien
Dylan RoobroeckHeat (CAL)C222004-07-27CANYes205 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,390,000$0$0$No1,390,000$1,390,000$-------1,390,000$1,390,000$-------NoNo-------Lien
Erik PortilloHeat (CAL)G252000-09-03SWEYes218 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Felix SandstromHeat (CAL)G291997-01-12SWENo214 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,585,000$0$0$No1,585,000$--------1,585,000$--------No--------Lien
Joe GoalieHeat (CAL)G252001-06-23NAYes100 Lbs4 ft0YesNoProspectNoNo12026-06-23FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Kyle BurroughsHeat (CAL)D311995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,555,000$0$0$No---------------------------Lien / Lien NHL
Luca PinelliHeat (CAL)C212005-04-05CANYes168 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,284,000$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Lien
Mark KastelicHeat (CAL)C/LW/RW271999-03-11USANo227 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,402,000$0$0$No1,402,000$--------1,402,000$--------No--------Lien
Mavrik BourqueHeat (CAL)C242002-01-08CANYes181 Lbs5 ft11NoNoTrade2025-12-08NoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
Mike HardmanHeat (CAL)LW271999-02-05USANo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm990,000$0$0$No---------------------------Lien
Oskar BackHeat (CAL)C262000-03-12SWEYes202 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,485,000$0$0$No1,485,000$1,485,000$-------1,485,000$1,485,000$-------NoNo-------Lien
Ryan SuzukiHeat (CAL)C252001-05-28CANYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,243,000$0$0$No1,243,000$--------1,243,000$--------No--------Lien
Shai BuiumHeat (CAL)D232003-03-26USAYes210 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,287,000$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Shakir MukhamadullinHeat (CAL)D242002-01-10RUSYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,294,167$0$0$No---------------------------Lien
Tyler MotteHeat (CAL)C/LW/RW311995-03-10USANo194 Lbs5 ft10NoNoTrade2024-10-02NoNo1FalseFalsePro & Farm2,600,000$0$0$No---------------------------Lien / Lien NHL
William VilleneuveHeat (CAL)D242002-03-20QUENo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,778$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.13197 Lbs6 ft11.911,310,396$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanMavrik BourqueDylan Roobroeck40122
2Bokondji ImamaRyan SuzukiAku Raty30122
3Oskar BackDylan RoobroeckRyan Suzuki20122
4Mike HardmanOskar BackRyan Suzuki10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve40122
2Kyle BurroughsShai Buium30122
3William VilleneuveAaron Ness20122
4William VilleneuveKyle Burroughs10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanMavrik BourqueDylan Roobroeck60122
2Bokondji ImamaRyan SuzukiAku Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve60122
2Kyle BurroughsAaron Ness40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan RoobroeckMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve60122
2Kyle BurroughsAaron Ness40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mike Hardman60122Shakir MukhamadullinAaron Ness60122
2Ryan Suzuki40122Kyle BurroughsWilliam Villeneuve40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan RoobroeckMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessWilliam Villeneuve60122
2Kyle BurroughsShai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanMavrik BourqueRyan SuzukiShakir MukhamadullinKyle Burroughs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanMavrik BourqueRyan SuzukiShakir MukhamadullinKyle Burroughs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Roobroeck, Ryan Suzuki, Bokondji ImamaDylan Roobroeck, Mike HardmanDylan Roobroeck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, William Villeneuve, Aaron NessKyle BurroughsKyle Burroughs, William Villeneuve
Tirs de pénalité
Bokondji Imama, Mavrik Bourque, Ryan Suzuki, Mike Hardman, Dylan Roobroeck
Gardien
#1 : Felix Sandstrom, #2 : Joe Goalie


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
1Americans51400000811-32020000035-23120000056-120.200813210025108519332858526511041119.09%13653.85%0518560.00%346453.13%285550.91%9234865612964
Total51400000811-32020000035-23120000056-120.200813210025108519332858526511041119.09%13653.85%0518560.00%346453.13%285550.91%9234865612964
_Since Last GM Reset51400000811-32020000035-23120000056-120.200813210025108519332858526511041119.09%13653.85%0518560.00%346453.13%285550.91%9234865612964
_Vs Conference51400000811-32020000035-23120000056-120.200813210025108519332858526511041119.09%13653.85%0518560.00%346453.13%285550.91%9234865612964

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1813218585265110400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5140000811
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000035
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
312000056
Derniers 10 matchs
WLOTWOTL SOWSOL
120200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1119.09%13653.85%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
19332852510
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
518560.00%346453.13%285550.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9234865612964


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
26Heat3Americans1WSommaire du match
414Heat0Americans1LXSommaire du match
622Americans4Heat3LSommaire du match
830Americans1Heat0LXSommaire du match
1038Heat2Americans4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance2,4221,000
Assistance PCT60.55%50.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 1711 - 57.03% 112,569$225,138$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,013,912$ 3,013,912$ 1,000,000$0$
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 des joueurs (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 des joueurs (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