Connexion

Heat
GP: 10 | W: 6 | L: 4 | OTL: 0 | P: 12
GF: 25 | GA: 17 | PP%: 12.31% | PK%: 96.08%
DG: Sebastien Tessier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Monarchs
7-1-2, 16pts
2
FINAL
0 Heat
6-4-0, 12pts
Team Stats
W6SéquenceW1
5-0-0Fiche domicile3-2-0
2-1-2Fiche domicile3-2-0
7-1-2Derniers 10 matchs6-4-0
3.60Buts par match 2.50
2.10Buts contre par match 1.70
16.07%Pourcentage en avantage numérique12.31%
82.00%Pourcentage en désavantage numérique96.08%
Heat
6-4-0, 12pts
2
FINAL
1 Condors
6-2-2, 14pts
Team Stats
W1SéquenceSOL1
3-2-0Fiche domicile3-1-1
3-2-0Fiche domicile3-1-1
6-4-0Derniers 10 matchs6-2-2
2.50Buts par match 2.70
1.70Buts contre par match 2.00
12.31%Pourcentage en avantage numérique16.98%
96.08%Pourcentage en désavantage numérique81.67%
Meneurs d'équipe
Buts
Owen Tippett
5
Passes
Nicolas Petan
5
Points
Nicolas Petan
7
Plus/Moins
Jonas Rondbjerg
4
Victoires
Filip Gustavsson
5
Pourcentage d’arrêts
Anthony Stolarz
0.932

Statistiques d’équipe
Buts pour
25
2.50 GFG
Tirs pour
206
20.60 Avg
Pourcentage en avantage numérique
12.3%
8 GF
Début de zone offensive
39.2%
Buts contre
17
1.70 GAA
Tirs contre
171
17.10 Avg
Pourcentage en désavantage numérique
96.1%%
2 GA
Début de la zone défensive
41.2%
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
1Adam Brooks0X100.00686282696260606176615761544849615000273750,000$
2Curtis Lazar (A)0XX100.00935987807662775772545778257072665000281750,000$
3Ridly Greig (R)0XX100.00824482726763656960775965254545675000213863,333$
4Jonas Rondbjerg (R)0X100.00594090666556845734585585254545625000241900,000$
5Joel Teasdale (R)0XX100.00757086687067696250536664634444655000241786,667$
6Matt Nieto0XX100.00654193796766936244626878257679705000311750,000$
7Owen Tippett0X100.008144927467769379577485692562637950002421,596,667$
8Emil Bemstrom0XX100.00614196827062786937726460256161675000242900,000$
9Dylan Holloway (R)0XX100.008157846174556464406157602549496250002231,441,667$
10Jaret Anderson-Dolan0XXX100.00784398796757715858606861255555675000243750,000$
11Nicolas Petan0XXX100.00656273706274757180686865656060685000282775,000$
12Riley Tufte (R)0X100.00788561688576816050536265594545645000251750,000$
13Calen Addison0X100.00614089816369778725694864255455645000233910,833$
14Mattias Norlinder (R)0X100.00756890666863674925434061384444535000223859,167$
15Parker Wotherspoon (R)0X100.00694289636462656025474774254545585000261750,000$
16Matthew Benning0X100.007844897274808865256447942570726750002921,000,000$
17Madison Bowey0X100.00777580777560635225434366415757565000282750,000$
18Haydn Fleury0X100.007544857677615558254247767564645950002731,300,000$
Rayé
1Jasper Weatherby (R)0X100.00808179738181895063474764454444575000253925,000$
2Jamieson Rees (R)0X100.00646562646575796278615959564444625000223839,167$
3Nathan Schnarr (R)0X100.00767186687165704961464761454444555000241894,167$
4John Beecher (R)0X100.00817986637965685569505665534444615000223925,000$
5Mitchell Vande Sompel0X100.00727077627054555225464360414444545000261750,000$
6Corson Ceulemans (R)0X100.00767382637347484625354261404444515000203925,000$
MOYENNE D’ÉQUIPE100.0074588471716572614756566740525362500
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$
Rayé
1Filip Gustavsson0100.0088686673928499879588815252875000253787,500$
MOYENNE D’ÉQUIPE100.007461608579699174807471535375500
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
1Nicolas PetanHeat (CGY)C/LW/RW102571751015217159.52%116116.112241250000040056.46%14700000.8711100020
2Emil BemstromHeat (CGY)LW/RW94260202171721023.53%017619.571236470000240175.00%1200000.6801000101
3Calen AddisonHeat (CGY)D9325-120210112327.27%1221423.793031048000034110%000000.4700000200
4Owen TippettHeat (CGY)RW9505-3205213132316.13%119421.6110111430000330043.06%7200000.5112000200
5Madison BoweyHeat (CGY)D9055-127157510310%316218.07033634000021000%000000.6100111000
6Adam BrooksHeat (CGY)C91341004882312.50%3677.44000000000100052.27%4400001.1900000010
7Ridly GreigHeat (CGY)C/LW913436010981612.50%013114.66011050000101040.00%9500000.6100000000
8Jonas RondbjergHeat (CGY)RW1013442019132127.69%112412.4401118000000033.33%900000.6400000000
9Matt NietoHeat (CGY)LW/RW9134-300412204275.00%218720.830226470000401068.42%1900000.4302000000
10Matthew BenningHeat (CGY)D10044-21001621155120%1223823.900111456000038000%000000.3300000000
11Curtis LazarHeat (CGY)C/RW9123-2140211788612.50%016518.400114470000210062.36%17800000.3622000001
12Parker WotherspoonHeat (CGY)D9033360666540%516918.89000429000027000%000000.3500000010
13Jaret Anderson-DolanHeat (CGY)C/LW/RW912302015101001010.00%014315.98112446000000044.44%900000.4200000000
14Haydn FleuryHeat (CGY)D8112-1805482612.50%1416020.09000635000026100%000000.2511000000
15Joel TeasdaleHeat (CGY)LW/RW101010204974614.29%210510.5100000000090041.67%1200000.1900000000
16Mattias NorlinderHeat (CGY)D90112200722010%314516.1500016000016000%000000.1400000000
17Dylan HollowayHeat (CGY)C/LW91011004162416.67%0566.2300007000160016.67%1200000.3600000000
18Riley TufteHeat (CGY)LW90111120633150%0758.44000000000100100.00%200000.2600000000
19John BeecherHeat (CGY)C1000000000000%000.750000000000000%00000000000000
20Mitchell Vande SompelHeat (CGY)D2000040310200%03316.530000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne1682340633126201321802045515411.27%59271416.16814228551800013334253.03%61100000.4659211542
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)95300.8901.7149102141270100.667391001
2Anthony StolarzHeat (CGY)21100.9321.48122003440000.667619000
Statistiques d’équipe totales ou en moyenne116400.9011.66614021717101091010001


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$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Anthony StolarzHeat (CGY)G291994-01-20No240 Lbs6 ft6NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Calen AddisonHeat (CGY)D232000-04-10No178 Lbs5 ft10NoNoNoNo3Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$Lien
Corson CeulemansHeat (CGY)D202003-05-05Yes198 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Curtis LazarHeat (CGY)C/RW281995-02-02No211 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Dylan HollowayHeat (CGY)C/LW222001-09-23Yes203 Lbs6 ft1NoNoNoNo3Pro & Farm1,441,667$1,441,667$1,441,667$1,441,667$0$0$No1,441,667$1,441,667$Lien
Emil BemstromHeat (CGY)LW/RW241999-06-01No190 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$Lien
Filip GustavssonHeat (CGY)G251998-06-07No185 Lbs6 ft2NoNoNoNo3Pro & Farm787,500$787,500$787,500$787,500$0$0$No787,500$787,500$Lien
Haydn FleuryHeat (CGY)D271996-07-08No208 Lbs6 ft3NoNoNoNo3Pro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$1,300,000$Lien
Jamieson ReesHeat (CGY)C222001-02-26Yes182 Lbs5 ft10NoNoNoNo3Pro & Farm839,167$839,167$839,167$839,167$0$0$No839,167$839,167$Lien
Jaret Anderson-DolanHeat (CGY)C/LW/RW241999-09-12No188 Lbs5 ft11NoNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jasper WeatherbyHeat (CGY)C251998-01-22Yes216 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Joel TeasdaleHeat (CGY)LW/RW241999-03-11Yes196 Lbs5 ft11NoNoNoNo1Pro & Farm786,667$786,667$786,667$786,667$0$0$NoLien
John BeecherHeat (CGY)C222001-05-04Yes210 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jonas RondbjergHeat (CGY)RW241999-03-31Yes176 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$900,000$806,667$806,667$0$0$NoLien
Madison BoweyHeat (CGY)D281995-04-22No202 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Matt NietoHeat (CGY)LW/RW311992-05-11No185 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Matthew BenningHeat (CGY)D291994-05-25No203 Lbs6 ft1NoNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Mattias NorlinderHeat (CGY)D222000-12-04Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm859,167$859,167$859,167$859,167$0$0$No859,167$859,167$
Mitchell Vande SompelHeat (CGY)D261997-02-11No198 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Nathan SchnarrHeat (CGY)C241999-02-25Yes185 Lbs6 ft3NoNoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Nicolas PetanHeat (CGY)C/LW/RW281995-03-22No175 Lbs5 ft9NoNoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien
Owen TippettHeat (CGY)RW241999-02-16No183 Lbs6 ft0NoNoNoNo2Pro & Farm1,596,667$1,596,667$1,596,667$1,596,667$0$0$No1,596,667$Lien
Parker WotherspoonHeat (CGY)D261997-08-24Yes172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Ridly GreigHeat (CGY)C/LW212002-08-08Yes181 Lbs6 ft0NoNoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$
Riley TufteHeat (CGY)LW251998-04-10Yes220 Lbs6 ft6NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.00194 Lbs6 ft12.12899,199$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt NietoCurtis LazarOwen Tippett35122
2Emil BemstromNicolas PetanJaret Anderson-Dolan30122
3Dylan HollowayRidly GreigJonas Rondbjerg25122
4Riley TufteAdam BrooksJoel Teasdale10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningCalen Addison35122
2Haydn FleuryParker Wotherspoon30122
3Madison BoweyMattias Norlinder25122
4Matthew BenningCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt NietoCurtis LazarOwen Tippett60122
2Emil BemstromNicolas PetanJaret Anderson-Dolan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningCalen Addison60122
2Haydn FleuryParker Wotherspoon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Owen TippettMatt Nieto60122
2Curtis LazarEmil Bemstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningCalen Addison60122
2Haydn FleuryParker Wotherspoon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Owen Tippett60122Matthew BenningCalen Addison60122
2Matt Nieto40122Haydn FleuryParker Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Owen TippettMatt Nieto60122
2Curtis LazarEmil Bemstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew BenningCalen Addison60122
2Haydn FleuryParker Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt NietoCurtis LazarOwen TippettMatthew BenningCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt NietoCurtis LazarOwen TippettMatthew BenningCalen Addison
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ridly Greig, Jonas Rondbjerg, Dylan HollowayRidly Greig, Jonas RondbjergDylan Holloway
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Madison Bowey, Mattias Norlinder, Haydn FleuryMadison BoweyMattias Norlinder, Haydn Fleury
Tirs de pénalité
Owen Tippett, Matt Nieto, Curtis Lazar, Emil Bemstrom, Nicolas Petan
Gardien
#1 : , #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Owen Tippett, Matt Nieto, Curtis Lazar, Emil Bemstrom, Nicolas Petan, Jaret Anderson-Dolan, Jaret Anderson-Dolan, Ridly Greig, Jonas Rondbjerg, Dylan Holloway, Riley Tufte
Lignes de défense personnalisées en prolongation
Matthew Benning, Calen Addison, Haydn Fleury, Parker Wotherspoon, Madison Bowey


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
1Barracuda21100000431110000003121010000012-120.50047110058964568666912247263021419.05%11190.91%014226453.79%12527844.96%7013253.03%2451702457812260
2Condors20000020422100000102111000001021141.0004370058964568666912321526291516.67%120100.00%014226453.79%12527844.96%7013253.03%2451702457812260
3Gulls211000005231010000012-11100000040420.500581301589625686669124015332110110.00%90100.00%014226453.79%12527844.96%7013253.03%2451702457812260
4Monarchs2020000026-41010000002-21010000024-200.000246005896396866691237162533600.00%10190.00%014226453.79%12527844.96%7013253.03%2451702457812260
5Moose210010001046100010005411100000050541.0001018280158965268666912389332313215.38%90100.00%014226453.79%12527844.96%7013253.03%2451702457812260
Total103401020251785120101011101522000101477120.600254065025896206686669121716214313665812.31%51296.08%014226453.79%12527844.96%7013253.03%2451702457812260
_Since Last GM Reset103401020251785120101011101522000101477120.600254065025896206686669121716214313665812.31%51296.08%014226453.79%12527844.96%7013253.03%2451702457812260

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1012W12540652061716214313602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103410202517
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51210101110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5220010147
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
65812.31%51296.08%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
686669125896
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
14226453.79%12527844.96%7013253.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2451702457812260


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
110Gulls2Heat1BLSommaire du match
219Heat4Gulls0AWSommaire du match
432Barracuda1Heat3BWSommaire du match
543Heat2Monarchs4ALSommaire du match
654Heat5Moose0AWSommaire du match
763Condors1Heat2BWXXSommaire du match
873Heat1Barracuda2ALSommaire du match
1085Moose4Heat5BWXSommaire du match
1193Monarchs2Heat0BLSommaire du match
13106Heat2Condors1AWXXSommaire 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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,337,918$ 2,328,585$ 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