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Heat
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Belanger99 | Morale : 17 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBelanger99
EntraîneurBob Woods
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 90
Espoirs35


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
1Alexander Holtz0X100.00564485648278786251667060715161046620221850,000$
2Jakub Vrana0X100.005043866581796064466867596164710176202823,250,000$
3Brennan Othmann (R)0X100.00504284638173616340666657635060041600213875,000$
4Cole Koepke0X100.00524482608368606340656659635060034590261775,000$
5Ryan Suzuki0X100.00504375578260606140646562635060020580232950,000$
6Egor Sokolov0X100.00505175519060606240646662635060029580242950,000$
7Riley Kidney (R)0X100.00504175567960605740626162615060020570213875,000$
8Alexis Gendron (R)0XXX100.00504275567960605840616662635060018570213875,000$
9Brian Pinho0X100.00504375568260605940646262615060019570292850,000$
10Kevin Bahl0X100.008758805494808069206560765555680666802432,200,000$
11Jacob Bernard-Docker0X100.006848886281776967206662776251620246502432,200,000$
12Ethan Del Mastro (R)0X100.00504894588882717620676270615060048640213875,000$
13Emil Andrae0X100.00503988637673607620666164615060047610222875,000$
14Christian Kyrou (R)0X100.00503875597660607420636368625060047600213875,000$
15Donovan Sebrango0X100.00504575528460607120625968605060047590223800,000$
Rayé
1Luke Evangelista0X100.00534194718082806451737163685362028650222875,000$
2Cutter Gauthier (R)0XX100.00704290708284845251746663635060041630203950,000$
3Alex Barre-Boulet0X100.005440876678776061586666616950600176102741,000,000$
4Luca Del Bel Belluz (R)0X98.33504185638074606153666360625060039600213875,000$
5Alex Turcotte0X100.005141846479736063586764626250600376002311,000,000$
6Arber Xhekaj0X100.00927081549478607020676369595164022650231950,000$
7Tyson Hinds (R)0X100.00504375538360607020606068605060021590213875,000$
8Ronan Seeley0X100.00504375538260607120626068605060030590222875,000$
9Nikolas Matinpalo (R)0X100.00504775508760607120616168615060024590261775,000$
MOYENNE D’ÉQUIPE99.9356458259837064653565646562516103361
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
1Bryan Thomson0100.0048636088515249525248506767044560222775,000$
2Shane Starrett0100.0037565389404139414137407972029490302800,000$
Rayé
1Malcolm Subban0100.0065726986696967696966688073045690312900,000$
MOYENNE D’ÉQUIPE100.005064618853545254545053757103958
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods75757575757575CAN5560$


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
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


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
Alex Barre-BouletHeat (CGY)C271997-05-21CANNo180 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Alex TurcotteHeat (CGY)C232001-02-26USANo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Alexander HoltzHeat (CGY)RW222002-01-23SWENo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Alexis GendronHeat (CGY)C/LW/RW212003-12-30CANYes187 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Arber XhekajHeat (CGY)D232001-01-30CANNo238 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm950,000$882,143$0$0$No---------------------------
Brennan OthmannHeat (CGY)LW212003-01-05CANYes188 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Brian PinhoHeat (CGY)RW291995-05-11USANo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm850,000$789,286$0$0$No850,000$--------850,000$--------No--------
Bryan ThomsonHeat (CGY)G222002-04-09CANNo183 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Christian KyrouHeat (CGY)D212003-09-16CANYes170 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Cole KoepkeHeat (CGY)LW261998-05-17USANo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Cutter GauthierHeat (CGY)C/LW202004-01-19USAYes201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm950,000$882,143$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Donovan SebrangoHeat (CGY)D222002-01-12CANNo200 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm800,000$742,857$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Egor SokolovHeat (CGY)LW242000-06-07RUSNo222 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm950,000$882,143$0$0$No950,000$--------950,000$--------No--------
Emil AndraeHeat (CGY)D222002-02-23SWENo176 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Ethan Del MastroHeat (CGY)D212003-01-15CANYes210 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Jacob Bernard-Docker (contrat à 1 volet)Heat (CGY)D242000-06-30CANNo190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm2,200,000$2,042,857$1,050,000$975,000$No2,200,000$2,200,000$-------2,200,000$2,200,000$-------NoNo-------
Jakub Vrana (contrat à 1 volet)Heat (CGY)LW281996-02-28CZENo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,250,000$3,017,857$2,100,000$1,950,000$No3,250,000$--------3,250,000$--------No--------
Kevin Bahl (contrat à 1 volet)Heat (CGY)D242000-06-27CANNo230 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm2,200,000$2,042,857$1,050,000$975,000$No2,200,000$2,200,000$-------2,200,000$2,200,000$-------NoNo-------
Luca Del Bel BelluzHeat (CGY)C212003-11-10CANYes182 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Luke EvangelistaHeat (CGY)RW222002-02-21CANNo183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Malcolm SubbanHeat (CGY)G311993-12-21CANNo217 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$835,714$0$0$No900,000$--------900,000$--------No--------
Nikolas MatinpaloHeat (CGY)D261998-10-05FINYes207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Riley KidneyHeat (CGY)C212003-03-25CANYes183 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Ronan SeeleyHeat (CGY)D222002-08-02CANNo192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Ryan SuzukiHeat (CGY)C232001-05-28CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$882,143$0$0$No950,000$--------950,000$--------No--------
Shane StarrettHeat (CGY)G301994-07-12USANo195 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm800,000$742,857$0$0$No800,000$--------800,000$--------No--------
Tyson HindsHeat (CGY)D212003-03-12CANYes192 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.59195 Lbs6 ft12.301,063,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaAlexander Holtz40122
2Brennan OthmannBrian Pinho30122
3Cole KoepkeAlexis Gendron20122
4Egor SokolovRyan SuzukiRiley Kidney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJacob Bernard-Docker40122
2Ethan Del MastroEmil Andrae30122
3Christian KyrouDonovan Sebrango20122
4Kevin BahlJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaAlexander Holtz60122
2Brennan OthmannBrian Pinho40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJacob Bernard-Docker60122
2Ethan Del MastroEmil Andrae40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander HoltzJakub Vrana60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJacob Bernard-Docker60122
2Ethan Del MastroEmil Andrae40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexander Holtz60122Kevin BahlJacob Bernard-Docker60122
2Jakub Vrana40122Ethan Del MastroEmil Andrae40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander HoltzJakub Vrana60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJacob Bernard-Docker60122
2Ethan Del MastroEmil Andrae40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaAlexander HoltzKevin BahlJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaAlexander HoltzKevin BahlJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Kidney, , Cole KoepkeRiley Kidney, Cole Koepke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Kyrou, Donovan Sebrango, Ethan Del MastroChristian KyrouDonovan Sebrango, Ethan Del Mastro
Tirs de pénalité
Alexander Holtz, Jakub Vrana, , , Brennan Othmann
Gardien
#1 : Bryan Thomson, #2 : Shane Starrett
Lignes d’attaque personnalisées en prolongation
Alexander Holtz, Jakub Vrana, , , Brennan Othmann, , Cole Koepke, Ryan Suzuki, Egor Sokolov, Brian Pinho
Lignes de défense personnalisées en prolongation
Kevin Bahl, Jacob Bernard-Docker, Ethan Del Mastro, Emil Andrae, Christian Kyrou


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,107,500$ 2,107,500$ 0$0$
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$ 13 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