Connexion

Heat
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Samuel Laberge | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralSamuel Laberge
EntraîneurKirk Muller
DivisionNorth
ConférenceDivision North-West
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure22
Limite contact 45 / 60
Espoirs23


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique22-26-6 (0.407%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Lukas Rousek0X100.0068508077646262615058586054444405000231830,000$
2Andreas Wingerli0X100.00706983776965666159556062594444050002400$
3Antti Suomela0XX100.00736786746755555670604663444949050002821,000,000$
4Tim Schaller0XX100.00787886757868706150536267596263050003121,000,000$
5Joseph Blandisi0XX100.0066656773655655658059656462585805000282925,000$
6Justin Danforth0XX100.0068508570686060656067676568555505000292925,000$
7Alan Quine0X100.00787390757352525569604467425556050002921,000,000$
8Danil Yurtaykin (R)0XX100.0069618971616062555060465944444405000252925,000$
9Cameron Hughes0XX100.0065607665606161648065586255545405000252925,000$
10Joona Luoto0XX100.00747377737351505550485762544545050002400$
11Justin Kirkland0X100.0071707261705758565056516148454505000252925,000$
12Slater Koekkoek0X100.0067429676726156522539488425596005000281975,000$
13Anthony Bitetto0X100.00804562707764585925554967756465050003200$
14Fredrik Claesson0X100.0074708476725753512446396525606005000291925,000$
15Alec Rauhauser (R)0X100.0075796558796064492540426140444405000272925,000$
16Ian McCoshen0X100.00768068608055575225493964375050050002600$
Rayé
1Kevin Hancock0X100.0076669964665455525045546251444405000242925,000$
2Maxim Sushko (R)0X100.00686578657167555348475558254444050002300$
3Tyrell Goulbourne0XX100.00667057637056594750424656444444050002800$
4Abbott Girduckis (R)0XXX100.00797199547149514455384462424444050002700$
MOYENNE D’ÉQUIPE100.007265806970595856505252644850510500
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
1Max Lagace100.0058546875575663665960304444050002900$
2Parker Gahagen100.0066486076706570747070304444050002931,000,000$
Rayé
1Pheonix Copley100.0052567082495755595757304646050003000$
MOYENNE D’ÉQUIPE100.00595366785959636662623045450500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller72626059505159CAN5111,800,000$


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
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Abbott GirduckisHeat (CAL)C/LW/RW271995-06-28Yes190 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Alan QuineHeat (CAL)C291993-02-24No203 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Alec RauhauserHeat (CAL)D271995-03-07 08:31:23Yes216 Lbs6 ft3NoNoNo2Farm Only925,000$925,000$0$0$No925,000$Lien NHL
Andreas WingerliHeat (CAL)LW241997-09-11 15:17:33No163 Lbs5 ft8NoNoNo0Pro & Farm0$0$NoLien NHL
Anthony BitettoHeat (CAL)D321990-07-15No210 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Antti SuomelaHeat (CAL)C/LW281994-03-16No180 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Cameron HughesHeat (CAL)C/LW251996-10-09No160 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Danil YurtaykinHeat (CAL)LW/RW251997-07-01Yes165 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien NHL
Fredrik ClaessonHeat (CAL)D291992-11-24No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ian McCoshenHeat (CAL)D261995-08-05No218 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Joona LuotoHeat (CAL)LW/RW241997-09-26No192 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Joseph BlandisiHeat (CAL)C/LW281994-07-18No184 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien / Lien NHL
Justin Danforth (contrat à 1 volet)Heat (CAL)C/RW291993-03-15 15:38:02No185 Lbs5 ft9NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien NHL
Justin KirklandHeat (CAL)LW251996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Kevin HancockHeat (CAL)LW241998-03-02No181 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Lukas RousekHeat (CAL)RW231999-04-20 14:35:48No175 Lbs5 ft11NoNoNo1Pro & Farm830,000$830,000$830,000$830,000$0$0$NoLien NHL
Max LagaceHeat (CAL)G291993-01-11No190 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Maxim SushkoHeat (CAL)RW231999-02-10Yes198 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Parker GahagenHeat (CAL)G291993-05-17No194 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Pheonix CopleyHeat (CAL)G301992-01-18No198 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Slater KoekkoekHeat (CAL)D281994-02-18No193 Lbs6 ft2NoNoNo1Pro & Farm975,000$975,000$975,000$975,000$0$0$NoLien / Lien NHL
Tim SchallerHeat (CAL)LW/RW311990-11-16No210 Lbs6 ft2NoNoNo2Farm Only1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Tyrell GoulbourneHeat (CAL)LW/RW281994-01-26No195 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.09190 Lbs6 ft11.13574,130$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiJustin Danforth40122
2Tim SchallerAntti SuomelaLukas Rousek30122
3Andreas WingerliCameron HughesDanil Yurtaykin20122
4Justin KirklandAlan QuineJoona Luoto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen35131
2Anthony BitettoSlater Koekkoek35131
3Alec RauhauserFredrik Claesson25131
4Slater Koekkoek5122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin DanforthJoseph Blandisi60005
2Tim SchallerAntti SuomelaLukas Rousek40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron HughesAnthony Bitetto60005
2Justin Kirkland40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin DanforthTim Schaller60122
2Joseph BlandisiAndreas Wingerli40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen60122
2Anthony BitettoFredrik Claesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Danforth60122Ian McCoshen60122
2Tim Schaller40122Anthony BitettoFredrik Claesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joseph BlandisiJustin Danforth60023
2Antti SuomelaTim Schaller40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen60131
2Anthony BitettoFredrik Claesson40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin DanforthLukas RousekIan McCoshen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin DanforthLukas RousekIan McCoshen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cameron Hughes, Alan Quine, Cameron HughesAlan Quine
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alec Rauhauser, Slater Koekkoek, Anthony BitettoAlec RauhauserSlater Koekkoek, Anthony Bitetto
Tirs de pénalité
Justin Danforth, Tim Schaller, Joseph Blandisi, Andreas Wingerli, Cameron Hughes
Gardien
#1 : Max Lagace, #2 : Parker Gahagen
Lignes d’attaque personnalisées en prolongation
Justin Danforth, Tim Schaller, Joseph Blandisi, Andreas Wingerli, Cameron Hughes, Lukas Rousek, Lukas Rousek, Alan Quine, Antti Suomela, Joona Luoto,
Lignes de défense personnalisées en prolongation
, Ian McCoshen, Anthony Bitetto, Fredrik Claesson, Alec Rauhauser


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 9,210,000$ 4,297,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Heat Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Vladislav Kamenev47101828-12452756814.71%789018.943692200030251.25%00.6302
2Brad Hunt3881725-62220487111.27%3487022.917815490000110.00%00.5700
3Joona Luoto56101323-72419509110.99%785915.342792400002114.08%00.5400
4Cameron Hughes5691322-112445955516.36%580114.3267131400013052.22%00.5500
5Maxim Sushko5611112211034517614.47%683614.952461800052047.17%00.5300

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
1Pheonix Copley34151330.8852.22186303695980100.6673
2Kasimir Kaskisuo2871350.8522.72152402694650200.3333

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
Saison régulière
156182604602114140-2628813033015670-14281013013015870-125211419831205482636594332130030424106331584211103314513.60%3324087.95%0682143847.43%653147844.18%37577148.64%13378951331427726365
Total Saison régulière56182604602114140-2628813033015670-14281013013015870-125211419831205482636594332130030424106331584211103314513.60%3324087.95%0682143847.43%653147844.18%37577148.64%13378951331427726365

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