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Connexion

Flames
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 6 | GA: 1 | PP%: 20.00% | PK%: 100.00%
DG: Sebastien Tessier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #22 vs Monsters
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Centre de jeu
Flames
2-0-0, 4pts
5
FINAL
1 Wolf Pack
0-1-0, 0pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-0
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-0
3.00Buts par match 1.00
0.50Buts contre par match 5.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique0.00%
Flames
2-0-0, 4pts
1
FINAL
0 Crunch
0-0-1, 1pts
Team Stats
W2StreakSOL1
0-0-0Home Record0-0-1
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-0-1
3.00Buts par match 0.00
0.50Buts contre par match 1.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Monsters
0-0-1, 1pts
2022-10-14
Flames
2-0-0, 4pts
Statistiques d’équipe
SOL1SéquenceW2
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-0-110 derniers matchs2-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
16.67%Pourcentage en avantage numérique20.00%
85.71%Pourcentage en désavantage numérique100.00%
Flames
2-0-0, 4pts
2022-10-15
Phantoms
0-1-0, 0pts
Statistiques d’équipe
W2SéquenceL1
0-0-0Fiche domicile0-1-0
2-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
0.50Buts contre par match 2.00
20.00%Pourcentage en avantage numérique12.50%
100.00%Pourcentage en désavantage numérique80.00%
Flames
2-0-0, 4pts
2022-10-16
Wolf Pack
0-1-0, 0pts
Statistiques d’équipe
W2SéquenceL1
0-0-0Fiche domicile0-1-0
2-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
0.50Buts contre par match 1.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe
Buts
Calen Addison
2
Passes
Jaret Anderson-Dolan
3
Points
Calen Addison
3
Plus/Moins
Alex Chiasson
1
Victoires
Anthony Stolarz
2
Pourcentage d’arrêts
Anthony Stolarz
0.971

Statistiques d’équipe
Buts pour
6
3.00 GFG
Tirs pour
36
18.00 Avg
Pourcentage en avantage numérique
20.0%
2 GF
Début de zone offensive
37.4%
Buts contre
1
0.50 GAA
Tirs contre
34
17.00 Avg
Pourcentage en désavantage numérique
100.0%
0 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralSebastien Tessier
EntraîneurJeremy Colliton
DivisionDivision 2
ConférenceConference 1
CapitaineOwen Tippett
Assistant #1Alex Chiasson
Assistant #2Curtis Lazar


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 60
Espoirs20


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 Brooks0X100.00634197696653585945545864754849615000264725,000$
2Alex Chiasson (A)0XX100.007544887878598272396171603676787050003112,150,000$
3Jasper Weatherby (R)0XX100.00754588738359646677615970254848645000244925,000$
4Philip Tomasino (R)0X100.006742957865597870387366622554546950002111,035,833$
5Curtis Lazar (A)0XX100.00924692807062865659606081256970685000272700,000$
6Jonas Rondbjerg (R)0XX100.00634295667255795425615867254646625000232900,000$
7Joel Teasdale (R)0X100.00787488687450486250566466614444645000232786,667$
8Matthew Nieto0XX100.00794491816968756030635980257171675000292700,000$
9Owen Tippett (C)0XX100.008145937475658671396370642557587050002331,596,667$
10Emil Bemstrom0XX100.007343968270576069446168622558586850002311,633,333$
11Dylan Holloway (R)0XX100.007774856174474462786060655744446250002141,441,667$
12Jaret Anderson-Dolan0XX100.00696774796771736680606863654848685000231913,333$
13Calen Addison (R)0X100.00714295816663727625505464254546635000221910,833$
14Mitchell Vande Sompel0X100.00757088627056585025464061384444535000252725,000$
15Parker Wotherspoon0X100.00606841636858605225494154394444505000251854,722$
16Chris Bigras0X100.00767186637152535125394665445757555000271700,000$
17Madison Bowey0X100.00697360777357585825494963475757575000273725,000$
18Haydn Fleury0X100.008259887678696758254548807562626150002641,300,000$
Rayé
1Dominik Bokk (R)0XX100.007669916769525351505047624544445550002211,075,833$
2Jamieson Rees (R)0X100.00696383646361635468554859464444555000211925,000$
3Nate Schnarr (R)0X100.00757183617164656176566264594444635000232894,167$
4Ostap Safin (R)0XX100.00827988647948494850454664444444545000232879,167$
5Nic Petan0XX59.75614092796256646844605565256060625000273775,000$
6Riley Tufte0X100.00734587688948765744505966254444615000241995,833$
7Matt Benning0X100.007854827974708561255247852566676350002831,000,000$
MOYENNE D’ÉQUIPE98.3674568672725866604455566640535362500
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 Stolarz100.0074535295777185738174684949735000282750,000$
2Filip Gustavsson100.0060555472655483636560954646635000244787,500$
Rayé
1Colten Ellis (R)100.0044405071454445494545454444455000214925,000$
MOYENNE D’ÉQUIPE100.005949527962567162646069464660500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton76758885787688CAN3731,000,000$


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
1Calen AddisonFlames (CGY)D22131201340350.00%24321.900112700004000.00%000001.3700000100
2Jaret Anderson-DolanFlames (CGY)C/LW2033000115010.00%03015.3002227000000015.302600001.9611000001
3Alex ChiassonFlames (CGY)LW/RW22021002150540.00%13718.632023600002100.00%100001.0700000010
4Jasper WeatherbyFlames (CGY)C/LW2011100122120.00%02814.2000000000050014.201000000.7000000000
5Philip TomasinoFlames (CGY)C2011100140100.00%03819.1200008000000019.123100000.5200000000
6Curtis LazarFlames (CGY)C/RW2011020244250.00%03115.7500000000150015.751400000.6300000000
7Matthew NietoFlames (CGY)LW/RW2011120243010.00%02814.040000000006000.00%000000.7100000000
8Emil BemstromFlames (CGY)LW/RW21011000071214.29%03517.7300008000000017.73100000.5600000000
9Madison BoweyFlames (CGY)D2011100110210.00%13819.160110700003000.00%000000.5200000000
10Haydn FleuryFlames (CGY)D2011120101120.00%04120.540000600005000.00%000000.4901000000
11Adam BrooksFlames (CGY)C2000020060000.00%02713.8800002000050013.881800000.00%01000000
12Jonas RondbjergFlames (CGY)LW/RW2000000121000.00%02010.340000000000000.00%000000.00%00000000
13Joel TeasdaleFlames (CGY)LW2000000020020.00%02311.550000000003000.00%000000.00%00000000
14Owen TippettFlames (CGY)LW/RW2000100223010.00%03618.4300028000000018.43100000.00%00000000
15Mitchell Vande SompelFlames (CGY)D2000075210000.00%14221.330000700004000.00%000000.00%00001000
16Parker WotherspoonFlames (CGY)D2000000410000.00%13517.880000000004000.00%000000.00%00000001
17Dylan HollowayFlames (CGY)C/LW2000100211010.00%02512.9300004000000012.931800000.00%00000000
18Chris BigrasFlames (CGY)D2000040200010.00%23417.170000100003000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne36510151021525353682713.89%859916.662469790001551044.17%12000000.5013001112
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
1Anthony StolarzFlames (CGY)22000.9710.48125011340001.000320010
Statistiques d’équipe totales ou en moyenne22000.9710.4812501134000320010


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
Adam BrooksFlames (CGY)C261996-05-06No185 Lbs5 ft10NoNoNo4Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$725,000$725,000$Lien
Alex ChiassonFlames (CGY)LW/RW311990-10-01No208 Lbs6 ft4NoNoNo1Pro & Farm2,150,000$2,091,096$2,150,000$2,091,096$0$0$NoLien
Anthony StolarzFlames (CGY)G281994-01-20No230 Lbs6 ft5NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
Calen AddisonFlames (CGY)D222000-04-10Yes180 Lbs5 ft11NoNoNo1Pro & Farm910,833$885,879$910,833$885,879$0$0$NoLien
Chris BigrasFlames (CGY)D271995-02-22No191 Lbs6 ft1NoNoNo1Pro & Farm700,000$680,822$700,000$680,822$0$0$NoLien
Colten EllisFlames (CGY)G212000-10-05Yes187 Lbs6 ft1NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$
Curtis LazarFlames (CGY)C/RW271995-02-02No193 Lbs6 ft0NoNoNo2Pro & Farm700,000$680,822$700,000$680,822$0$0$No700,000$Lien
Dominik BokkFlames (CGY)LW/RW222000-02-03Yes181 Lbs6 ft2NoNoNo1Pro & Farm1,075,833$1,046,358$1,075,833$1,046,358$0$0$NoLien
Dylan HollowayFlames (CGY)C/LW212001-09-23Yes203 Lbs6 ft1NoNoNo4Pro & Farm1,441,667$1,402,169$1,441,667$1,402,169$0$0$No1,441,667$1,441,667$1,441,667$
Emil BemstromFlames (CGY)LW/RW231999-06-01No193 Lbs6 ft0NoNoNo1Pro & Farm1,633,333$1,588,584$1,633,333$1,588,584$0$0$NoLien
Filip GustavssonFlames (CGY)G241998-06-07No184 Lbs6 ft2NoNoNo4Pro & Farm787,500$765,925$787,500$765,925$0$0$No787,500$787,500$787,500$Lien
Haydn FleuryFlames (CGY)D261996-07-08No208 Lbs6 ft3NoNoNo4Pro & Farm1,300,000$1,264,384$1,300,000$1,264,384$0$0$No1,300,000$1,300,000$1,300,000$Lien
Jamieson ReesFlames (CGY)C212001-02-26Yes172 Lbs5 ft11NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Jaret Anderson-DolanFlames (CGY)C/LW231999-09-12No188 Lbs5 ft11NoNoNo1Pro & Farm913,333$888,310$913,333$888,310$0$0$NoLien
Jasper WeatherbyFlames (CGY)C/LW241998-01-22Yes223 Lbs6 ft4NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$
Joel TeasdaleFlames (CGY)LW231999-03-11Yes205 Lbs6 ft0NoNoNo2Pro & Farm786,667$765,114$786,667$765,114$0$0$No786,667$Lien
Jonas RondbjergFlames (CGY)LW/RW231999-03-31Yes194 Lbs6 ft2NoNoNo2Pro & Farm900,000$875,342$806,667$784,567$0$0$No900,000$Lien
Madison BoweyFlames (CGY)D271995-04-22No198 Lbs6 ft2NoNoNo3Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$725,000$Lien
Matt BenningFlames (CGY)D281994-05-25No204 Lbs6 ft1YesNoNo3Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$No1,000,000$1,000,000$Lien
Matthew NietoFlames (CGY)LW/RW291992-11-05No190 Lbs5 ft11NoNoNo2Pro & Farm700,000$680,822$700,000$680,822$0$0$No700,000$Lien
Mitchell Vande SompelFlames (CGY)D251997-02-11No198 Lbs5 ft11NoNoNo2Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$Lien
Nate SchnarrFlames (CGY)C231999-02-25Yes185 Lbs6 ft3NoNoNo2Pro & Farm894,167$869,669$894,167$869,669$0$0$No894,167$Lien
Nic Petan (sur la masse salariale)Flames (CGY)LW/RW271995-03-22No175 Lbs5 ft9NoNoNo3Pro & Farm775,000$753,767$775,000$753,767$0$0$Yes775,000$775,000$Lien
Ostap SafinFlames (CGY)LW/RW231999-02-11Yes205 Lbs6 ft5NoNoNo2Pro & Farm879,167$855,080$879,167$855,080$0$0$No879,167$Lien
Owen TippettFlames (CGY)LW/RW231999-02-16No207 Lbs6 ft1NoNoNo3Pro & Farm1,596,667$1,552,923$1,596,667$1,552,923$0$0$No1,596,667$1,596,667$Lien
Parker WotherspoonFlames (CGY)D251997-08-24No181 Lbs6 ft1NoNoNo1Pro & Farm854,722$831,305$854,722$831,305$0$0$NoLien
Philip TomasinoFlames (CGY)C212001-07-28Yes179 Lbs6 ft0NoNoNo1Pro & Farm1,035,833$1,007,454$1,035,833$1,007,454$0$0$NoLien
Riley TufteFlames (CGY)LW241998-04-10No235 Lbs6 ft6NoNoNo1Pro & Farm995,833$968,550$995,833$968,550$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.54196 Lbs6 ft12.21990,377$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromPhilip TomasinoOwen Tippett35122
2Alex ChiassonJaret Anderson-DolanCurtis Lazar30122
3Jasper WeatherbyDylan HollowayMatthew Nieto25122
4Joel TeasdaleAdam BrooksJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelCalen Addison35122
2Haydn FleuryMadison Bowey30122
3Chris BigrasParker Wotherspoon25122
4Mitchell Vande SompelCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromPhilip TomasinoOwen Tippett60122
2Dylan HollowayJaret Anderson-DolanAlex Chiasson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelCalen Addison60122
2Haydn FleuryMadison Bowey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis LazarMatthew Nieto60122
2Jasper WeatherbyJoel Teasdale40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelHaydn Fleury60122
2Chris BigrasCalen Addison40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Lazar60122Mitchell Vande SompelHaydn Fleury60122
2Jasper Weatherby40122Chris BigrasCalen Addison40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Philip TomasinoOwen Tippett60122
2Jaret Anderson-DolanAlex Chiasson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelCalen Addison60122
2Haydn FleuryMadison Bowey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex ChiassonJaret Anderson-DolanDylan HollowayMitchell Vande SompelCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew NietoCurtis LazarJasper WeatherbyMitchell Vande SompelHaydn Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Jaret Anderson-Dolan, Jasper WeatherbyAdam Brooks, Jaret Anderson-DolanJasper Weatherby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Bigras, Parker Wotherspoon, Haydn FleuryChris BigrasParker Wotherspoon, Haydn Fleury
Tirs de pénalité
Adam Brooks, Haydn Fleury, Jaret Anderson-Dolan, Joel Teasdale, Dylan Holloway
Gardien
#1 : Anthony Stolarz, #2 : Filip Gustavsson
Lignes d’attaque personnalisées en prolongation
Philip Tomasino, Owen Tippett, Alex Chiasson, Curtis Lazar, Dylan Holloway, Emil Bemstrom, Emil Bemstrom, Jaret Anderson-Dolan, Jasper Weatherby, Joel Teasdale, Jonas Rondbjerg
Lignes de défense personnalisées en prolongation
Mitchell Vande Sompel, Calen Addison, Haydn Fleury, Madison Bowey, Chris Bigras


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
1Crunch10000010101000000000001000001010121.00010101104117137136155615800.00%30100.00%0154334.88%244652.17%142653.85%433056152411
2Wolf Pack11000000514000000000001100000051421.0005101500104119137136193151022100.00%50100.00%0154334.88%244652.17%142653.85%433056152411
Total21000010615000000000002100001061541.0006101601104136137136348212510220.00%80100.00%0154334.88%244652.17%142653.85%433056152411
_Since Last GM Reset21000010615000000000002100001061541.0006101601104136137136348212510220.00%80100.00%0154334.88%244652.17%142653.85%433056152411
_Vs Conference21000010615000000000002100001061541.0006101601104136137136348212510220.00%80100.00%0154334.88%244652.17%142653.85%433056152411
_Vs Division11000000514000000000001100000051421.0005101500104119137136193151022100.00%50100.00%0154334.88%244652.17%142653.85%433056152411

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W26101636348212501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
210001061
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210001061
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10220.00%80100.00%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
1371361041
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
154334.88%244652.17%142653.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
433056152411


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
1 - 2022-10-097Flames5Wolf Pack1AWSommaire du match
3 - 2022-10-1111Flames1Crunch0AWXXSommaire du match
6 - 2022-10-1422Monsters-Flames-
7 - 2022-10-1532Flames-Phantoms-
8 - 2022-10-1637Flames-Wolf Pack-
9 - 2022-10-1744Phantoms-Flames-
12 - 2022-10-2064Wolf Pack-Flames-
14 - 2022-10-2277Flames-Marlies-
15 - 2022-10-2382Flames-Wolves-
16 - 2022-10-2488Penguins-Flames-
19 - 2022-10-27108Monarchs-Flames-
20 - 2022-10-28116Flames-Bruins-
23 - 2022-10-31130Sharks-Flames-
24 - 2022-11-01140Flames-Wolf Pack-
26 - 2022-11-03153Penguins-Flames-
28 - 2022-11-05166Flames-IceHogs-
29 - 2022-11-06174Wolf Pack-Flames-
30 - 2022-11-07182Flames-Bruins-
34 - 2022-11-11195Phantoms-Flames-
37 - 2022-11-14210Rampage-Flames-
41 - 2022-11-18225Senators-Flames-
42 - 2022-11-19232Flames-Senators-
44 - 2022-11-21239Flames-Wolf Pack-
46 - 2022-11-23255Bruins-Flames-
47 - 2022-11-24262Flames-Phantoms-
49 - 2022-11-26275Flames-Crunch-
51 - 2022-11-28284Rocket-Flames-
52 - 2022-11-29297Flames-Crunch-
54 - 2022-12-01306Penguins-Flames-
56 - 2022-12-03319Marlies-Flames-
58 - 2022-12-05332Flames-Admirals-
60 - 2022-12-07343Monsters-Flames-
62 - 2022-12-09355Flames-Marlies-
64 - 2022-12-11365Flames-Phantoms-
66 - 2022-12-13372Senators-Flames-
67 - 2022-12-14384Flames-Phantoms-
68 - 2022-12-15395Monarchs-Flames-
70 - 2022-12-17407Soldiers-Flames-
74 - 2022-12-21421Flames-Rocket-
75 - 2022-12-22430Phantoms-Flames-
76 - 2022-12-23436Flames-Wolf Pack-
78 - 2022-12-25453Condors-Flames-
79 - 2022-12-26456Flames-Monsters-
81 - 2022-12-28467Flames-Penguins-
84 - 2022-12-31482Marlies-Flames-
85 - 2023-01-01491Flames-Moose-
88 - 2023-01-04503Flames-Bruins-
89 - 2023-01-05509Stars-Flames-
91 - 2023-01-07524Rocket-Flames-
95 - 2023-01-11542Penguins-Flames-
98 - 2023-01-14552Flames-Wolves-
99 - 2023-01-15564Sound Tigers-Flames-
102 - 2023-01-18572Flames-Rampage-
104 - 2023-01-20584Wolf Pack-Flames-
106 - 2023-01-22595Flames-Rampage-
108 - 2023-01-24606Monsters-Flames-
109 - 2023-01-25616Flames-Soldiers-
112 - 2023-01-28627Crunch-Flames-
114 - 2023-01-30643Flames-Marlies-
117 - 2023-02-02652Monsters-Flames-
119 - 2023-02-04667Flames-Wolves-
121 - 2023-02-06671Flames-Penguins-
122 - 2023-02-07679Monarchs-Flames-
126 - 2023-02-11696Rampage-Flames-
128 - 2023-02-13712Sharks-Flames-
130 - 2023-02-15720Flames-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19738Sharks-Flames-
135 - 2023-02-20744Flames-Soldiers-
140 - 2023-02-25760Griffins-Flames-
141 - 2023-02-26769Flames-Crunch-
144 - 2023-03-01779Flames-Monsters-
145 - 2023-03-02792Griffins-Flames-



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
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
101,248$ 2,695,555$ 2,686,222$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 73,852$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 25,312$ 3,594,304$




Flames 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

Flames 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

Flames 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

Flames 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

Flames 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