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Heat
GP: 20 | W: 16 | L: 4
GF: 78 | GA: 52 | PP%: 19.80% | PK%: 81.94%
DG: Sébastien Régnier | Morale : 50 | Moyenne d’équipe : 66

Centre de jeu
Heat
16-4-0, 32pts
5
FINAL
3 Crunch
12-7-0, 24pts
Team Stats
W4SéquenceL4
9-2-0Fiche domicile6-3-0
7-2-0Fiche domicile6-4-0
9-1-0Derniers 10 matchs3-7-0
3.90Buts par match 3.47
2.60Buts contre par match 2.95
19.80%Pourcentage en avantage numérique13.56%
81.94%Pourcentage en désavantage numérique85.48%
Heat
16-4-0, 32pts
4
FINAL
2 Crunch
12-7-0, 24pts
Team Stats
W4SéquenceL4
9-2-0Fiche domicile6-3-0
7-2-0Fiche domicile6-4-0
9-1-0Derniers 10 matchs3-7-0
3.90Buts par match 3.47
2.60Buts contre par match 2.95
19.80%Pourcentage en avantage numérique13.56%
81.94%Pourcentage en désavantage numérique85.48%
Meneurs d'équipe
Buts
Andreas Johansson
12
Passes
Lubomir Visnovsky
17
Points
Andreas Johansson
23
Plus/Moins
Colin White
14
Victoires
Tim Cheveldae
16
Pourcentage d’arrêts
Tim Cheveldae
0.904

Statistiques d’équipe
Buts pour
78
3.90 GFG
Tirs pour
658
32.90 Avg
Pourcentage en avantage numérique
19.8%
20 GF
Début de zone offensive
42.7%
Buts contre
52
2.60 GAA
Tirs contre
548
27.40 Avg
Pourcentage en désavantage numérique
81.9%%
13 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralSébastien Régnier
EntraîneurRobbie Ftorek
DivisionDivision 5
ConférenceOUEST
CapitaineChris Clark
Assistant #1Kyle Calder
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,200


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 65
Espoirs8


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
1Andreas Johansson0X100.0045359679786369816285826461615868507102911,500,000$
2Johan Garpenlov0X100.0060538370725766817182826270718227507103411,500,000$
3Dainius Zubrus (R)0X100.009388567884738678676662786954567450710241800,000$
4Ladislav Nagy (R)0X100.0076536083726668865381755977504180507002321,000,000$
5Kyle Calder (R) (A)0X100.0065608981716777846377727675494079507002321,000,000$
6Kristian Huselius (R)0X100.005136858273646885678083657454428850700232450,000$
7Derek King0X100.00513499707771776670656874789999150690352500,000$
8Niklas Hagman (R)0X100.006040827575757784727275745947458250690222450,000$
9Patrick Sharp (R)0X100.006745728073747375777474646542408850680213450,000$
10Chris Clark (R) (C)0X100.009286437774656969535660776859677550670264750,000$
11Shawn Thornton (R)0X100.008477487675726967545357726856647550650253450,000$
12Shawn Bates0X100.007671676575688161785952765770625250640273600,000$
13Lubomir Visnovsky (R)0X100.007058767874747284408272785648508250710261450,000$
14Yannick Tremblay0X100.006556807672677279358378676955566750690273900,000$
15Toni Lydman (R)0X100.006249727475747578257362824543457950690241450,000$
16Colin White (R)0X100.008377546678717257355341883352587850670251700,000$
17Todd Reirden0X100.0046359970826470536056458650667546506603111,400,000$
18Jordan Leopold (R)0X100.006355737773707165356155744550488550650223450,000$
Rayé
1Todd Ewen0X100.00726863598051685474565473609999150630362500,000$
2Jean-Yves Leroux (R)0X100.005752887578657864426161676152526350630263600,000$
3Serge Aubin0X100.007070627173798059735252666562636750620271500,000$
4Glen Metropolit0X100.006732887272626761815448735866706050620283500,000$
5Marc Chouinard (R)0X100.006342867276687362755657665245496950610251450,000$
6Nikita Alexeev (R)0X100.005925876682585962455163745447416350600202450,000$
7Jesse Boulerice (R)0X100.007982447278607548604155704257586850590242450,000$
8Francis Lessard (R)0X100.008390386082717056584752625033356050570233450,000$
9Chris Tamer0X100.0046449466786472465650427948717146506303211,200,000$
10Garnet Exelby (R)0X100.007780526675727658255551664444487050630213450,000$
11Matt Walker (R)0X100.008075536677707152255452714042457050630223450,000$
12Doug Janik (R)0X100.006850766280616855354651684344466650600223450,000$
MOYENNE D’ÉQUIPE100.00685772727667726756636172585657645066
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
1Tim Cheveldae0100.007082727069818584857675879527507803411,000,000$
2Andrew Raycroft (R)0100.00666263736972797777666737407850670221450,000$
Rayé
MOYENNE D’ÉQUIPE100.0068726872697782818171716268535073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Robbie Ftorek83858673848073USA511120,000$


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
1Andreas JohanssonHeat (CAL)C20121123120043966183818.18%339019.5243719780002192042.71%47300001.1800000310
2Derek KingHeat (CAL)LW204151980032339132910.26%235117.602798630000290066.67%2700001.0800000102
3Ladislav NagyHeat (CAL)RW1861218106049214984412.24%132518.064481974000002035.00%2000001.1100000121
4Lubomir VisnovskyHeat (CAL)D181171874013403814272.63%1239021.671012276000011100%000000.9200000100
5Patrick SharpHeat (CAL)C2071118106018434974714.29%236718.391671691000003250.44%45200000.9800000041
6Toni LydmanHeat (CAL)D20710174140292948112914.58%1846923.464263186000043310%000000.7200000210
7Kristian HuseliusHeat (CAL)LW188917700102468133811.76%030516.990441459000001052.38%2100001.1100000112
8Johan GarpenlovHeat (CAL)RW195101580036204293011.90%132717.23033548000000048.15%2700000.9200000202
9Yannick TremblayHeat (CAL)D1831013616034142581312.00%1334419.111232174000028000%000000.7600000011
10Dainius ZubrusHeat (CAL)C2047115235284934122811.76%327313.67000070000631150.00%37800100.8000001100
11Kyle Calder Heat (CAL)LW116410800292772122.22%216014.5800002000161014.29%700001.2500000102
12Jordan LeopoldHeat (CAL)D2017832003411273213.70%1942221.121232073000047000%000000.3800000000
13Colin WhiteHeat (CAL)D2025714300661490722.22%2640720.3910115000047100%000000.3400000101
14Chris ClarkHeat (CAL)RW20437922045253771910.81%731315.680224450001570150.00%3400000.4500000012
15Niklas HagmanHeat (CAL)LW203470201264410446.82%627813.9201113480111410048.00%5000000.5000000010
16Todd ReirdenHeat (CAL)D2021332061393722.22%3935017.54000213101157100%000000.1700000010
17Shawn BatesHeat (CAL)C20112-8001426143107.14%01778.88000000000100053.33%16500000.2300000000
18Garnet ExelbyHeat (CAL)D4101-10012260316.67%26917.4710141800000000%000000.2900000000
19Shawn ThorntonHeat (CAL)RW20101-780281220575.00%11738.6800000000000146.67%1500000.1200000100
20Todd EwenHeat (CAL)RW3000-100230000%0227.63000000000000100.00%10000000000000
21Jean-Yves LerouxHeat (CAL)LW9000-300066110%0839.3300000000050075.00%40000000000000
22Nikita AlexeevHeat (CAL)LW2000-100001020%0157.880000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne3607813721593153543444965815246511.85%157602116.73203656199870112647216648.30%167500100.7100001151314
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
1Tim CheveldaeHeat (CAL)2016310.9042.571193015153001000200110
2Andrew RaycroftHeat (CAL)20000.9441.71350011800000020000
Statistiques d’équipe totales ou en moyenne2216310.9052.541228015254801002020110


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 Plafond 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
Andreas JohanssonHeat (CAL)C292000-02-09SWENo213 Lbs6 ft2NoNoFree AgentNoNo12025-09-20FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Andrew RaycroftHeat (CAL)G222007-05-04CANYes173 Lbs6 ft0NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Chris ClarkHeat (CAL)RW262003-05-08USAYes202 Lbs6 ft0NoNoFree AgentNoNo42025-09-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Chris TamerHeat (CAL)D321997-02-09USANo221 Lbs6 ft1NoNoFree AgentNoNo12025-03-21FalseFalsePro & Farm1,200,000$0$0$No---------------------------
Colin WhiteHeat (CAL)D252004-12-12CANYes215 Lbs6 ft3NoNoFree AgentNoNo12025-09-15FalseFalsePro & Farm700,000$0$0$No---------------------------
Dainius ZubrusHeat (CAL)C242005-06-16LITYes230 Lbs6 ft7NoNoFree AgentNoNo12024-08-06FalseFalsePro & Farm800,000$0$0$No---------------------------
Derek KingHeat (CAL)LW351994-02-09CANNo213 Lbs6 ft0NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Doug JanikHeat (CAL)D222007-09-01USAYes213 Lbs6 ft0NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Francis LessardHeat (CAL)RW232006-09-01CANYes235 Lbs6 ft3NoNoProspectNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Garnet ExelbyHeat (CAL)D212008-09-01CANYes210 Lbs6 ft1NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Glen MetropolitHeat (CAL)C282001-06-25CANNo196 Lbs5 ft10NoNoFree AgentNoNo32025-09-26FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Jean-Yves LerouxHeat (CAL)LW262003-02-28CANYes214 Lbs6 ft2NoNoFree AgentNoNo32025-09-15FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Jesse BoulericeHeat (CAL)RW242005-08-10USAYes215 Lbs6 ft2NoNoProspectNoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Johan GarpenlovHeat (CAL)RW341995-02-09SWENo190 Lbs5 ft11NoNoFree AgentNoNo12024-08-12FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Jordan LeopoldHeat (CAL)D222007-09-01USAYes206 Lbs6 ft1NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Kristian HuseliusHeat (CAL)LW232006-11-10SWEYes185 Lbs6 ft1NoNoProspectNoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Kyle Calder Heat (CAL)LW232007-01-05CANYes180 Lbs5 ft11NoNoFree AgentNoNo22025-09-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------
Ladislav NagyHeat (CAL)RW232006-06-01SLOYes189 Lbs5 ft10NoNoFree AgentNoNo22025-09-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------
Lubomir VisnovskyHeat (CAL)D262003-08-11SLOYes197 Lbs5 ft10NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Marc ChouinardHeat (CAL)C252004-05-06CANYes200 Lbs6 ft4NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Matt WalkerHeat (CAL)D222007-09-01CANYes215 Lbs6 ft4NoNoProspectNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Nikita AlexeevHeat (CAL)LW202009-12-27RUSYes227 Lbs6 ft5NoNoDraftNoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Niklas HagmanHeat (CAL)LW222007-12-05FINYes205 Lbs5 ft10NoNoProspectNoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Patrick SharpHeat (CAL)C212008-09-01CANYes200 Lbs6 ft1NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Serge AubinHeat (CAL)C272002-02-15CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-03-11FalseFalsePro & Farm500,000$0$0$No---------------------------
Shawn BatesHeat (CAL)C272002-04-03USANo208 Lbs5 ft11NoNoFree AgentNoNo32025-03-11FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Shawn ThorntonHeat (CAL)RW252004-09-01CANYes217 Lbs6 ft3NoNoProspectNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Tim CheveldaeHeat (CAL)G341995-02-09CANNo176 Lbs5 ft10NoNoFree AgentNoNo12025-09-20FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Todd EwenHeat (CAL)RW361993-02-09CANNo232 Lbs6 ft3NoNoFree AgentNoNo22025-09-23FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Todd ReirdenHeat (CAL)D311998-02-09USANo225 Lbs6 ft5NoNoFree AgentNoNo12025-03-21FalseFalsePro & Farm1,400,000$0$0$No---------------------------
Toni LydmanHeat (CAL)D242005-09-25FINYes202 Lbs6 ft1NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Yannick TremblayHeat (CAL)D272002-02-28CANNo181 Lbs6 ft2NoNoFree AgentNoNo32025-03-11FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3225.91205 Lbs6 ft12.03678,125$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian HuseliusAndreas JohanssonJohan Garpenlov40023
2Kyle Calder Patrick SharpLadislav Nagy30023
3Derek KingDainius ZubrusChris Clark25032
4Niklas HagmanShawn BatesShawn Thornton5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin WhiteLubomir Visnovsky40023
2Yannick TremblayToni Lydman40032
3Jordan LeopoldTodd Reirden20032
4Colin WhiteToni Lydman0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian HuseliusAndreas JohanssonJohan Garpenlov70014
2Derek KingPatrick SharpLadislav Nagy30014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yannick TremblayLubomir Visnovsky90122
2Toni LydmanJordan Leopold10023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dainius ZubrusChris Clark70032
2Shawn BatesKyle Calder 30032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Todd ReirdenColin White80032
2Toni LydmanJordan Leopold20032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dainius Zubrus70032Todd ReirdenColin White70032
2Shawn Bates30032Toni LydmanJordan Leopold30032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrick SharpLadislav Nagy60023
2Dainius ZubrusChris Clark40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Toni LydmanTodd Reirden70023
2Colin WhiteJordan Leopold30023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Niklas HagmanPatrick SharpLadislav NagyToni LydmanLubomir Visnovsky
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle Calder Dainius ZubrusChris ClarkTodd ReirdenColin White
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Niklas Hagman, Derek King, Dainius ZubrusDerek King, Dainius ZubrusNiklas Hagman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Colin White, Jordan Leopold, Todd ReirdenToni LydmanJordan Leopold, Yannick Tremblay
Tirs de pénalité
Chris Clark, Derek King, Kyle Calder , Ladislav Nagy, Shawn Thornton
Gardien
#1 : Tim Cheveldae, #2 : Andrew Raycroft


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
1Croque-Morts642000002418632100000129332100000129380.6672442660031222142122212221952018648611422428.33%27581.48%035571649.58%30365046.62%15130948.87%506349459153265134
2Crunch44000000191092200000010552200000095481.0001934530031222141082212221952010026327618527.78%16381.25%035571649.58%30365046.62%15130948.87%506349459153265134
3The sons of a bitch54100000191093210000011562200000085380.80019355401312221418222122219520123423211633721.21%15473.33%035571649.58%30365046.62%15130948.87%506349459153265134
4Wolves5410000016142330000009542110000079-280.80016264200312221415622122219520139412810026623.08%14192.86%135571649.58%30365046.62%15130948.87%506349459153265134
Total20164000007852261192000004224189720000036288320.80078137215013122214658221222195205481571534341012019.80%721381.94%135571649.58%30365046.62%15130948.87%506349459153265134
_Since Last GM Reset20164000007852261192000004224189720000036288320.80078137215013122214658221222195205481571534341012019.80%721381.94%135571649.58%30365046.62%15130948.87%506349459153265134
_Vs Conference1612400000594217972000003219137520000027234240.7505910316201312221455022122219520448131121358831518.07%561082.14%135571649.58%30365046.62%15130948.87%506349459153265134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2032W47813721565854815715343401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2016400007852
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
119200004224
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200003628
Derniers 10 matchs
WLOTWOTL SOWSOL
712000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1012019.80%721381.94%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
221222195203122214
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
35571649.58%30365046.62%15130948.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
506349459153265134


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
15The sons of a bitch4Heat0LSommaire du match
213The sons of a bitch0Heat3WSommaire du match
321Heat4The sons of a bitch3WXSommaire du match
429Heat4The sons of a bitch2WSommaire du match
537The sons of a bitch1Heat8WSommaire du match
859Croque-Morts1Heat4WSommaire du match
963Croque-Morts3Heat4WXSommaire du match
1067Heat5Croque-Morts3WSommaire du match
1171Heat3Croque-Morts4LXSommaire du match
1275Croque-Morts5Heat4LSommaire du match
1379Heat4Croque-Morts2WSommaire du match
1586Wolves2Heat3WXSommaire du match
1688Wolves1Heat3WSommaire du match
1790Heat3Wolves6LSommaire du match
1892Heat4Wolves3WSommaire du match
1994Wolves2Heat3WXSommaire du match
2299Crunch2Heat4WSommaire du match
23100Crunch3Heat6WSommaire du match
24101Heat5Crunch3WSommaire du match
25102Heat4Crunch2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,170,000$ 2,170,000$ 120,000$0$
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