Connexion

Heat
GP: 18 | W: 9 | L: 6 | OTL: 3 | P: 21
GF: 38 | GA: 33 | PP%: 11.88% | PK%: 85.45%
DG: Sebastien Tessier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #197 vs Monarchs
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Centre de jeu
Heat
9-6-3, 21pts
2
FINAL
4 Stars
8-4-6, 22pts
Team Stats
L4SéquenceSOL1
4-3-2Fiche domicile6-1-2
5-3-1Fiche domicile2-3-4
5-4-1Derniers 10 matchs3-2-5
2.11Buts par match 2.56
1.83Buts contre par match 2.33
11.88%Pourcentage en avantage numérique13.33%
85.45%Pourcentage en désavantage numérique85.44%
Wolf Pack
9-7-1, 19pts
3
FINAL
1 Heat
9-6-3, 21pts
Team Stats
W2SéquenceL4
5-4-0Fiche domicile4-3-2
4-3-1Fiche domicile5-3-1
5-4-1Derniers 10 matchs5-4-1
2.29Buts par match 2.11
2.59Buts contre par match 1.83
9.73%Pourcentage en avantage numérique11.88%
80.68%Pourcentage en désavantage numérique85.45%
Heat
9-6-3, 21pts
Jour 35
Monarchs
7-9-2, 16pts
Statistiques d’équipe
L4SéquenceL1
4-3-2Fiche domicile3-4-1
5-3-1Fiche visiteur4-5-1
5-4-110 derniers matchs4-6-0
2.11Buts par match 2.61
1.83Buts contre par match 2.61
11.88%Pourcentage en avantage numérique15.52%
85.45%Pourcentage en désavantage numérique80.33%
Heat
9-6-3, 21pts
Jour 36
Crunch
14-4-0, 28pts
Statistiques d’équipe
L4SéquenceW1
4-3-2Fiche domicile8-1-0
5-3-1Fiche visiteur6-3-0
5-4-110 derniers matchs7-3-0
2.11Buts par match 3.06
1.83Buts contre par match 3.06
11.88%Pourcentage en avantage numérique20.00%
85.45%Pourcentage en désavantage numérique91.51%
Wolves
10-8-0, 20pts
Jour 38
Heat
9-6-3, 21pts
Statistiques d’équipe
W1SéquenceL4
5-3-0Fiche domicile4-3-2
5-5-0Fiche visiteur5-3-1
7-3-010 derniers matchs5-4-1
2.33Buts par match 2.11
2.39Buts contre par match 2.11
12.37%Pourcentage en avantage numérique11.88%
86.84%Pourcentage en désavantage numérique85.45%
Meneurs d'équipe
Buts
Owen Tippett
8
Passes
Curtis Lazar
9
Points
Matt Nieto
13
Plus/Moins
Owen Tippett
8
Victoires
Filip Gustavsson
9
Pourcentage d’arrêts
Anthony Stolarz
1

Statistiques d’équipe
Buts pour
38
2.11 GFG
Tirs pour
313
17.39 Avg
Pourcentage en avantage numérique
11.9%
12 GF
Début de zone offensive
36.1%
Buts contre
33
1.83 GAA
Tirs contre
355
19.72 Avg
Pourcentage en désavantage numérique
85.5%%
16 GA
Début de la zone défensive
43.2%
Informations de l'équipe

Directeur généralSebastien Tessier
EntraîneurKirk Muller
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2Curtis Lazar


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 60
Espoirs18


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
1Jesse Puljujarvi0X100.008459878077628765256258622562636550002511,175,000$
2Curtis Lazar (A)0XX100.00935987807662775772545778257072665000281750,000$
3Ridly Greig (R)0XX100.00824482726763656960775965254545675000213863,333$
4Colin White0XX100.007343938169556459506062645368686450002641,200,000$
5Joel Teasdale (R)0XX100.00757086687067696250536664634444655000241786,667$
6Matt Nieto0XX99.00654193796766936244626878257679705000311750,000$
7Owen Tippett0X100.008144927467769379577485692562637950002421,596,667$
8Emil Bemstrom0XX100.00614196827062786937726460256161675000242900,000$
9Dylan Holloway (R)0XX100.008157846174556464406157602549496250002131,441,667$
10Jaret Anderson-Dolan0XXX100.00784398796757715858606861255555675000233750,000$
11Riley Tufte (R)0X100.00788561688576816050536265594545645000251750,000$
12Mattias Norlinder (R)0X100.00756890666863674925434061384444535000223859,167$
13Parker Wotherspoon (R)0X100.00694289636462656025474774254545585000261750,000$
14Corson Ceulemans (R)0X100.00767382637347484625354261404444515000203925,000$
15Johnathan Kovacevic (R)0X100.0077548563797289632552488625555563500N0263891,667$
16Haydn Fleury0X100.007544857677615558254247767564645950002731,300,000$
Rayé
1Adam Brooks0X100.00686282696260606176615761544849615000273750,000$
2Jasper Weatherby (R)0X100.00808179738181895063474764454444575000253925,000$
3Jamieson Rees (R)0X100.00646562646575796278615959564444625000223839,167$
4Jonas Rondbjerg (R)0X98.68594090666556845734585585254545625000241900,000$
5Nathan Schnarr (R)0X100.00767186687165704961464761454444555000241894,167$
6John Beecher (R)0X100.00817986637965685569505665534444615000223925,000$
7Mitchell Vande Sompel0X96.74727077627054555225464360414444545000261750,000$
8Madison Bowey0X90.02777580777560635225434366415757565000282750,000$
MOYENNE D’ÉQUIPE99.2975598571726372594655566739525362500
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
1Anthony Stolarz0100.0060545497665482606560615353635000291750,000$
2Filip Gustavsson099.0088686673928499879588815252875000253787,500$
Rayé
MOYENNE D’ÉQUIPE99.507461608579699174807471535375500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller83808279838074CAN5831,000,000$


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
1Matt NietoHeat (CGY)LW/RW18581372033129111817.24%538521.442247810000943045.71%3500000.6702000212
2Owen TippettHeat (CGY)RW18851388015415293915.38%037620.8911216780002982142.60%22300100.6902000421
3Curtis LazarHeat (CGY)C/RW1809972603134205140%533818.800224800000540058.07%32200000.5301000100
4Jesse PuljujarviHeat (CGY)RW1717832003722146157.14%129017.100665650000420028.89%4500000.5500000000
5Ridly GreigHeat (CGY)C/LW18437212021271851022.22%023012.810111140001211048.15%2700000.6100000012
6Joel TeasdaleHeat (CGY)LW/RW185274407101861127.78%31719.5400011000080033.33%900000.8200000111
7Colin WhiteHeat (CGY)C/RW174262401325205820.00%225214.82224868000021046.03%25200000.4800000012
8Emil BemstromHeat (CGY)LW/RW182461002282081210.00%028115.642137740000110142.86%1400000.4301000100
9Johnathan KovacevicHeat (CGY)D17336722025191651318.75%1238822.88112977000074000%000000.3100000011
10Haydn FleuryHeat (CGY)D181565100201321584.76%1339822.151231676000076000%000000.3000000000
11Jaret Anderson-DolanHeat (CGY)C/LW/RW181451100422173135.88%122612.58101221000000043.79%16900000.4400000001
12Jonas RondbjergHeat (CGY)RW18044-20002219880%120111.17011260001250019.23%2600000.4000000000
13Calen AddisonFlamesD51340403663516.67%311623.38123524000016000%000000.6800000001
14Dylan HollowayHeat (CGY)C/LW1813414081791611.11%01548.6000000000051035.34%13300000.5200000001
15Matthew BenningFlamesD412314011243425.00%49423.53101317000015000%000000.6400000010
16Parker WotherspoonHeat (CGY)D181122140231240725.00%1136420.24000262000065100%000000.1100000010
17Riley TufteHeat (CGY)LW18022036102010112110%01427.9100000000000050.00%600000.2800020000
18Mattias NorlinderHeat (CGY)D1501121202502000%1226017.37000115000028000%000000.0800000010
19Madison BoweyHeat (CGY)D1601103552646110%629018.14000450000045000%000000.0700010000
20Adam BrooksHeat (CGY)C1000000001000%077.5800000000000080.00%50000000000000
21Mitchell Vande SompelHeat (CGY)D1300042352961000%920916.1100006000031000%00000000100000
22Nicolas PetanFlamesC/LW/RW1000-120135000%01515.4300036000000076.19%210000000000000
23Corson CeulemansHeat (CGY)D2000120300000%33216.140000000006000%00000000000000
Statistiques d’équipe totales ou en moyenne324386910755254203273543138620312.14%91522916.141221339682900047269246.46%128700100.410613091012
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
1Filip GustavssonHeat (CGY)189630.9061.78104302313300000.6005180010
2Anthony StolarzHeat (CGY)20001.0000490002500000018000
Statistiques d’équipe totales ou en moyenne209630.9131.701092023135500051818010


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Adam BrooksHeat (CGY)C271996-05-06No174 Lbs5 ft10NoNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$Lien
Anthony StolarzHeat (CGY)G291994-01-20No240 Lbs6 ft6NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Colin WhiteHeat (CGY)C/RW261997-01-30No191 Lbs5 ft11NoNoNoNo4Pro & Farm1,200,000$944,516$1,200,000$944,516$0$0$No1,200,000$1,200,000$1,200,000$Lien
Corson CeulemansHeat (CGY)D202003-05-05Yes198 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Curtis LazarHeat (CGY)C/RW281995-02-02No211 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Dylan HollowayHeat (CGY)C/LW212001-09-23Yes203 Lbs6 ft1NoNoNoNo3Pro & Farm1,441,667$1,134,731$1,441,667$1,134,731$0$0$No1,441,667$1,441,667$Lien
Emil BemstromHeat (CGY)LW/RW241999-06-01No190 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$708,387$900,000$708,387$0$0$No900,000$Lien
Filip GustavssonHeat (CGY)G251998-06-07No185 Lbs6 ft2NoNoNoNo3Pro & Farm787,500$619,839$787,500$619,839$0$0$No787,500$787,500$Lien
Haydn FleuryHeat (CGY)D271996-07-08No208 Lbs6 ft3NoNoNoNo3Pro & Farm1,300,000$1,023,226$1,300,000$1,023,226$0$0$No1,300,000$1,300,000$Lien
Jamieson ReesHeat (CGY)C222001-02-26Yes182 Lbs5 ft10NoNoNoNo3Pro & Farm839,167$660,506$839,167$660,506$0$0$No839,167$839,167$Lien
Jaret Anderson-DolanHeat (CGY)C/LW/RW231999-09-12No188 Lbs5 ft11NoNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$Lien
Jasper WeatherbyHeat (CGY)C251998-01-22Yes216 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$Lien
Jesse PuljujarviHeat (CGY)RW251998-05-07No201 Lbs6 ft4NoNoNoNo1Pro & Farm1,175,000$924,839$1,175,000$924,839$0$0$NoLien
Joel TeasdaleHeat (CGY)LW/RW241999-03-11Yes196 Lbs5 ft11NoNoNoNo1Pro & Farm786,667$619,183$786,667$619,183$0$0$NoLien
John BeecherHeat (CGY)C222001-05-04Yes210 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Johnathan KovacevicHeat (CGY)D261997-07-12Yes208 Lbs6 ft4YesNoNoNo3Pro & Farm891,667$701,828$891,667$701,828$0$0$No891,667$891,667$Lien
Jonas RondbjergHeat (CGY)RW241999-03-31Yes176 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$708,387$806,667$634,925$0$0$NoLien
Madison Bowey (sur la masse salariale)Heat (CGY)D281995-04-22No202 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$Yes750,000$Lien
Matt NietoHeat (CGY)LW/RW311992-05-11No185 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Mattias NorlinderHeat (CGY)D222000-12-04Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm859,167$676,248$859,167$676,248$0$0$No859,167$859,167$
Mitchell Vande SompelHeat (CGY)D261997-02-11No198 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Nathan SchnarrHeat (CGY)C241999-02-25Yes185 Lbs6 ft3NoNoNoNo1Pro & Farm894,167$703,796$894,167$703,796$0$0$NoLien
Owen TippettHeat (CGY)RW241999-02-16No183 Lbs6 ft0NoNoNoNo2Pro & Farm1,596,667$1,256,731$1,596,667$1,256,731$0$0$No1,596,667$Lien
Parker WotherspoonHeat (CGY)D261997-08-24Yes172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Ridly GreigHeat (CGY)C/LW212002-08-08Yes181 Lbs6 ft0NoNoNoNo3Pro & Farm863,333$679,527$863,333$679,527$0$0$No863,333$863,333$
Riley TufteHeat (CGY)LW251998-04-10Yes220 Lbs6 ft6NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.81196 Lbs6 ft12.15921,539$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt NietoCurtis LazarOwen Tippett35122
2Emil BemstromColin WhiteJesse Puljujarvi30122
3Ridly GreigJaret Anderson-Dolan25122
4Riley TufteDylan HollowayJoel Teasdale10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicHaydn Fleury35122
2Parker WotherspoonMattias Norlinder30122
3Corson Ceulemans25122
4Johnathan KovacevicHaydn Fleury10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt NietoCurtis LazarOwen Tippett60122
2Emil BemstromColin WhiteJesse Puljujarvi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicHaydn Fleury60122
2Parker WotherspoonMattias Norlinder40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Owen TippettMatt Nieto60122
2Jesse PuljujarviCurtis Lazar40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicHaydn Fleury60122
2Parker WotherspoonMattias Norlinder40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Owen Tippett60122Johnathan KovacevicHaydn Fleury60122
2Matt Nieto40122Parker WotherspoonMattias Norlinder40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Owen TippettMatt Nieto60122
2Jesse PuljujarviCurtis Lazar40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicHaydn Fleury60122
2Parker WotherspoonMattias Norlinder40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt NietoCurtis LazarOwen TippettJohnathan KovacevicHaydn Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt NietoCurtis LazarOwen TippettJohnathan KovacevicHaydn Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaret Anderson-Dolan, Ridly Greig, Jaret Anderson-Dolan, Ridly Greig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Corson Ceulemans, Parker WotherspoonCorson Ceulemans, Parker Wotherspoon
Tirs de pénalité
Owen Tippett, Matt Nieto, Jesse Puljujarvi, Curtis Lazar, Emil Bemstrom
Gardien
#1 : Filip Gustavsson, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Owen Tippett, Matt Nieto, Jesse Puljujarvi, Curtis Lazar, Emil Bemstrom, Colin White, Colin White, Jaret Anderson-Dolan, Ridly Greig, , Riley Tufte
Lignes de défense personnalisées en prolongation
Johnathan Kovacevic, Haydn Fleury, Parker Wotherspoon, Mattias Norlinder,


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
1Barracuda3110010035-22010010014-31100000021130.50036900121312158851211049561243602015.00%19194.74%021646146.85%25155145.55%13126449.62%418280439145235116
2Condors22000000844110000004221100000042241.000816240012131214085121104949622261218.33%8187.50%021646146.85%25155145.55%13126449.62%418280439145235116
3Griffins1000000123-11000000123-10000000000010.5002460012131212285121104920515186116.67%5180.00%021646146.85%25155145.55%13126449.62%418280439145235116
4Gulls3120000056-1211000004221010000014-320.333581301121312146851211049601949569111.11%22481.82%021646146.85%25155145.55%13126449.62%418280439145235116
5Monarchs22000000716110000003121100000040441.00071320011213121408512110493210314416318.75%120100.00%021646146.85%25155145.55%13126449.62%418280439145235116
6Moose21001000523100010002111100000031241.000581300121312124851211049361022511119.09%11190.91%021646146.85%25155145.55%13126449.62%418280439145235116
7Stars1010000024-2000000000001010000024-200.000246001213121138512110493082016200.00%10370.00%021646146.85%25155145.55%13126449.62%418280439145235116
8Thunderbird31100001550000000000003110000155030.5005813001213121618512110494613304224416.67%13376.92%021646146.85%25155145.55%13126449.62%418280439145235116
9Wolf Pack1010000013-21010000013-20000000000000.00012300121312198512110492682214100.00%10280.00%021646146.85%25155145.55%13126449.62%418280439145235116
Total1886011023833593301101171619530000121174210.5833869107021213121313851211049355912543271011211.88%1101685.45%021646146.85%25155145.55%13126449.62%418280439145235116
_Since Last GM Reset1886011023833593301101171619530000121174210.5833869107021213121313851211049355912543271011211.88%1101685.45%021646146.85%25155145.55%13126449.62%418280439145235116
_Vs Conference1010000013-21010000013-20000000000000.00012300121312198512110492682214100.00%10280.00%021646146.85%25155145.55%13126449.62%418280439145235116
_Vs Division1010000013-21010000013-20000000000000.00012300121312198512110492682214100.00%10280.00%021646146.85%25155145.55%13126449.62%418280439145235116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1821L438691073133559125432702
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
188611023833
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93311011716
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95300012117
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1011211.88%1101685.45%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
8512110491213121
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
21646146.85%25155145.55%13126449.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
418280439145235116


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
13Condors2Heat4BWSommaire du match
28Heat1Gulls4ALSommaire du match
414Heat3Thunderbird1AWSommaire du match
834Heat4Condors2AWSommaire du match
940Heat1Thunderbird2ALXXSommaire du match
1046Barracuda2Heat0BLSommaire du match
1263Griffins3Heat2BLXXSommaire du match
1473Heat2Barracuda1AWSommaire du match
1785Gulls0Heat3BWSommaire du match
19100Moose1Heat2BWXSommaire du match
21116Monarchs1Heat3BWSommaire du match
23132Heat4Monarchs0AWSommaire du match
24138Barracuda2Heat1BLXSommaire du match
25141Heat3Moose1AWSommaire du match
27155Heat1Thunderbird2ALSommaire du match
30169Gulls2Heat1BLSommaire du match
31181Heat2Stars4ALSommaire du match
33190Wolf Pack3Heat1BLSommaire du match
35197Heat-Monarchs-
36210Heat-Crunch-
38219Wolves-Heat-
40231Heat-Monarchs-
42239Heat-Wolves-
43247Barracuda-Heat-
45262Heat-Sound Tigers-
46269Eagles-Heat-
48284Thunderbird-Heat-
50298Heat-Stars-
52307Sound Tigers-Heat-
53315Heat-Moose-
55326Moose-Heat-
57339Heat-Phantoms-
59348Heat-Condors-
60352Thunderbird-Heat-
6537367s-Heat-
67387Heat-Eagles-
68394Phantoms-Heat-
70404Heat-Gulls-
71417Moose-Heat-
74432IceHogs-Heat-
75440Heat-67s-
77449Heat-IceHogs-
78461Gulls-Heat-
81474Rocket-Heat-
83487Heat-Rocket-
84496Monarchs-Heat-
87509Heat-IceHogs-
88517Heat-Condors-
90526Griffins-Heat-
92540Monarchs-Heat-
94550Heat-Eagles-
95562Heat-Sound Tigers-
96570IceHogs-Heat-
99581Heat-Griffins-
100588Heat-Moose-
101594Marlies-Heat-
104614Bruins-Heat-
106626Heat-Marlies-
107634Wolves-Heat-
109644Heat-Thunderbird-
111651Heat-Penguins-
112660Monsters-Heat-
114673Heat-Barracuda-
115681Monsters-Heat-
118698Condors-Heat-
119705Heat-Gulls-
120717Heat-Barracuda-
121726Barracuda-Heat-
124741Heat-Wolf Pack-
125746Stars-Heat-
128765Eagles-Heat-
131776Heat-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132787Stars-Heat-
133795Heat-Thunderbird-
134802Heat-Bruins-
136814Penguins-Heat-
141833Heat-Bruins-
142836Crunch-Heat-
145854Condors-Heat-
148873Griffins-Heat-
151887Penguins-Heat-
153897Heat-Wolves-



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
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
727,386$ 2,321,002$ 2,311,669$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 514,478$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 21,426$ 2,613,972$




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