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Connexion

Flames
GP: 82 | W: 37 | L: 31 | OTL: 14 | P: 88
GF: 247 | GA: 251 | PP%: 15.36% | PK%: 77.49%
DG: Benoit Talbot | Morale : 33 | Moyenne d’équipe : 69
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Centre de jeu
Flames
37-31-14, 88pts
2
FINAL
3 Kings
43-29-10, 96pts
Team Stats
L2StreakW1
20-14-7Home Record27-11-3
17-17-7Away Record16-18-7
1-7-2Last 10 Games6-4-0
3.01Buts par match 3.20
3.06Buts contre par match 3.13
15.36%Pourcentage en avantage numérique20.08%
77.49%Pourcentage en désavantage numérique84.03%
Flames
37-31-14, 88pts
2
FINAL
4 Predators
44-32-6, 94pts
Team Stats
L2StreakW3
20-14-7Home Record23-15-3
17-17-7Away Record21-17-3
1-7-2Last 10 Games6-3-1
3.01Buts par match 3.32
3.06Buts contre par match 3.10
15.36%Pourcentage en avantage numérique24.90%
77.49%Pourcentage en désavantage numérique80.38%
Meneurs d'équipe
Buts
Kevin Fiala
31
Passes
Kevin Fiala
48
Points
Kevin Fiala
79
Plus/Moins
Haydn Fleury
15
Victoires
Alexandar Georgiev
34
Pourcentage d’arrêts
Alexandar Georgiev
0.905

Statistiques d’équipe
Buts pour
247
3.01 GFG
Tirs pour
2513
30.65 Avg
Pourcentage en avantage numérique
15.4%
41 GF
Début de zone offensive
38.3%
Buts contre
251
3.06 GAA
Tirs contre
2531
30.87 Avg
Pourcentage en désavantage numérique
77.5%%
52 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralBenoit Talbot
EntraîneurJim Playfair
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,232
Billets de saison2,100


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 60
Espoirs51


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
1Jake DeBrusk (R)X97.0070429475806879896499938967636477357802633,000,000$
2Kevin Fiala (R)X100.0060418174727488955295916574737478507602623,000,000$
3Josh Norris (R)X99.007544928183738885917575742567717949730241925,000$
4Adrian Kempe (R)X100.007443857782749372797674754172717458720261800,000$
5Mathieu Joseph (R)X99.007744937283579168557370687572737257680263800,000$
6Rocco Grimaldi (R)X100.004828996967848772557566667480756054680301800,000$
7Arttu Ruotsalainen (R)X100.007442867383668269737271632572737153680252925,000$
8Alexis Lafrenière (R)X100.007443957583668769387470642563689231670212925,000$
9Kevin Stenlund (R)X100.007343917083637364707370632572676451660263600,000$
10Alan Quine (R)X100.004629996276707669666963676680744756640301575,000$
11Aleksi Heponiemi (R)X100.007739927183625762257369632565687316640242925,000$
12Henrik Borgstrom (R)X100.005332976776737763745752706667648014610253575,000$
13Jake Dotchin (R)X99.009964596378777689238486765378644136730291700,000$
14Jeremy Lauzon (R)X100.0074467369827679642574698025716865557002631,000,000$
15Haydn Fleury (R)X100.0074449470816774762572696975777179576902621,000,000$
16Darren Dietz (R)X98.009949786476598773256453805068643657690291900,000$
17Joel Hanley (R)X100.007243977082616766257367652582745741670312600,000$
18Noah Dobson (R)X100.007343947382696869257369662565698047670231894,167$
Rayé
1Alex Newhook (R)X95.797468697685545167807968607365698271660222908,333$
2Austin Wagner (R)X100.008338887072798765546362646669676020650253575,000$
3Givani Smith (R)X100.007445657083577664257469602567667120640251714,166$
4Ivan Chekhovich (R)X100.005035956872807464566259606465644720610242925,000$
5Brett Leason (R)X100.008177916477656662504040675944446420550243775,000$
6Jake Leschyshyn (R)X100.007069736969717652653737595144445720530243766,667$
7Dean Kukan (R)X100.007343907182646166257369712577715720670291700,000$
8Evan Bouchard (R)X100.007343957281655865257472642565648419650233600,000$
9Kevin Bahl (R)X100.007588936882646957257467583863656919640222795,000$
MOYENNE D’ÉQUIPE99.52724787707968766948716768476867673967
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
1Alexandar Georgiev (R)100.009195938086999999999187768066578902723,000,000$
2Pavel Francouz (R)99.00877876727896979795878386925150850321925,000$
Rayé
1Magnus Hellberg (R)100.007986827880928392847374939245208203221,500,000$
MOYENNE D’ÉQUIPE99.6786868477819693969384818588544285
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Playfair71646674907873CAN563900,000$


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
1Kevin FialaFlames (CGY)RW82314879-25210142131313891669.90%32164920.11311142419320251735044.29%1407720000.9658002485
2Danton HeinenFlamesC70324274152201051662716315811.81%36141520.2231619281981015955246.81%15684820011.0515000831
3Jake DeBruskFlames (CGY)RW76274673732101401702368415411.44%49157920.78812203421900011714144.13%4265530200.9228001846
4Josh NorrisFlames (CGY)C81283664-95620130203291831749.62%31149518.473811291930003466254.80%16046127000.8602003346
5Adrian KempeFlames (CGY)LW8221194055115150102116407918.10%41148818.16538132160000111448.21%1122226000.5402102522
6Mathieu JosephFlames (CGY)LW82191433-5115112110134397114.18%37127315.5440481000004601238.46%651815000.5200001023
7Arttu RuotsalainenFlames (CGY)RW82112233729510962160461006.88%1389910.971011210002281052.00%502621000.7300010211
8Jake Dotchin Flames (CGY)D6962127-111121020113811547455.22%93160623.284610172300000139100.00%02840100.3400110020
9Rocco GrimaldiFlames (CGY)RW82141226-655355514541619.66%2585910.48101316000022021.05%382815000.6100100030
10Haydn FleuryFlames (CGY)D8222325151151141267834472.56%92175521.4101131710001149000.00%02436000.2800001011
11Kevin StenlundFlames (CGY)C82101121360829411538648.70%2485610.450002300001360144.91%5301714000.4900000012
12Jeremy LauzonFlames (CGY)D8241620-65151591568137344.94%95189623.13336142450000187010.00%01259000.2100001000
13Darren DietzFlames (CGY)D8231720086101881316232304.84%89178421.76347142080220135100.00%0357000.2200002002
14Alex NewhookFlames (CGY)C594151914315125747229545.56%1468411.601012130000121048.43%477193000.5600201002
15Alexis LafrenièreFlames (CGY)LW7071219-140726210321686.80%1984312.05000000002701122.41%581911000.4500000001
16Noah DobsonFlames (CGY)D82215174100981034812164.17%74136616.67000226000062000.00%01637000.2500000010
17Joel HanleyFlames (CGY)D821131462079964816222.08%61129815.8300004000047000.00%02135000.2200000001
18Alan QuineFlames (CGY)LW818513-20084758263013.79%156087.5200001000040014.29%7512000.4300000100
19Aleksi HeponiemiFlames (CGY)C2453802020192651419.23%42189.0900000000000027.35%11751000.7300000000
20Dean KukanFlames (CGY)D1302284012176530.00%1120315.680000000001000.00%037000.2000000000
21Givani SmithFlames (CGY)RW6011-240835120.00%1406.780000000000000.00%000000.4900000000
22Henrik BorgstromFlames (CGY)C9000-200471120.00%2606.6800001000000035.00%2001000.00%00000000
23Austin WagnerFlames (CGY)LW6000-200413110.00%1457.590000000001000.00%001000.00%00000000
Statistiques d’équipe totales ou en moyenne14662353936282359311520972073248779013959.45%8592393216.3239641031942094325241439291447.93%5212507488310.528255214313233
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
1Alexandar GeorgievFlames (CGY)703423100.9052.914057601972081843310.737196715474
2Pavel FrancouzFlames (CGY)183840.8933.139200048448173010.50041567100
Statistiques d’équipe totales ou en moyenne883731140.9032.954978602452529101632238282574


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 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
Adrian KempeFlames (CGY)LW261996-09-13 05:44:01Yes201 Lbs6 ft2NoNoNo1Pro & Farm800,000$4,020$0$0$No
Alan QuineFlames (CGY)LW301993-02-25 18:35:24Yes203 Lbs6 ft0NoNoNo1Pro & Farm575,000$2,889$0$0$No
Aleksi HeponiemiFlames (CGY)C241999-01-09 02:55:54Yes148 Lbs5 ft10NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Alex NewhookFlames (CGY)C222001-01-28 02:58:23Yes190 Lbs5 ft10NoNoNo2Pro & Farm908,333$4,564$0$0$No908,333$
Alexandar GeorgievFlames (CGY)G271996-02-10 10:25:08Yes179 Lbs6 ft1NoNoNo2Pro & Farm3,000,000$15,075$0$0$No3,000,000$
Alexis LafrenièreFlames (CGY)LW212001-10-11 03:19:56Yes192 Lbs6 ft1NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Arttu RuotsalainenFlames (CGY)RW251997-10-29 04:15:46Yes181 Lbs5 ft8NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Austin WagnerFlames (CGY)LW251997-06-23 07:30:44Yes185 Lbs6 ft1NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Brett LeasonFlames (CGY)RW241999-04-30 13:56:20Yes225 Lbs6 ft5NoNoNo3Pro & Farm775,000$3,894$0$0$No775,000$775,000$
Darren DietzFlames (CGY)D291993-07-16 06:42:37Yes206 Lbs6 ft1NoNoNo1Pro & Farm900,000$4,523$0$0$No
Dean KukanFlames (CGY)D291993-07-08 06:33:23Yes192 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,518$0$0$No
Evan BouchardFlames (CGY)D231999-10-20 02:25:19Yes194 Lbs6 ft3NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Givani SmithFlames (CGY)RW251998-02-27 01:21:12Yes205 Lbs6 ft2NoNoNo1Pro & Farm714,166$3,589$0$0$No
Haydn FleuryFlames (CGY)D261996-07-08 04:00:49Yes207 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$5,025$0$0$No1,000,000$
Henrik BorgstromFlames (CGY)C251997-08-06 02:20:11Yes198 Lbs6 ft3NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Ivan ChekhovichFlames (CGY)LW241999-01-04 03:15:11Yes187 Lbs5 ft11NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Jake DeBruskFlames (CGY)RW261996-10-17 13:20:08Yes188 Lbs6 ft0NoNoNo3Pro & Farm3,000,000$15,075$0$0$No3,000,000$3,000,000$
Jake Dotchin Flames (CGY)D291994-03-24 09:44:28Yes212 Lbs6 ft3NoNoNo1Pro & Farm700,000$3,518$0$0$No
Jake LeschyshynFlames (CGY)C241999-03-10 13:58:02Yes190 Lbs5 ft11NoNoNo3Pro & Farm766,667$3,853$0$0$No766,667$766,667$
Jeremy LauzonFlames (CGY)D261997-04-28 02:22:22Yes205 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$5,025$0$0$No1,000,000$1,000,000$
Joel HanleyFlames (CGY)D311991-06-08 06:37:23Yes190 Lbs5 ft11NoNoNo2Pro & Farm600,000$3,015$0$0$No600,000$
Josh NorrisFlames (CGY)C241999-05-05 02:56:41Yes192 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,648$0$0$No
Kevin BahlFlames (CGY)D222000-06-27 03:01:06Yes229 Lbs6 ft6NoNoNo2Pro & Farm795,000$3,995$0$0$No795,000$
Kevin FialaFlames (CGY)RW261996-07-22 05:11:13Yes193 Lbs5 ft10NoNoNo2Pro & Farm3,000,000$15,075$0$0$No3,000,000$
Kevin StenlundFlames (CGY)C261996-09-20 02:17:36Yes209 Lbs6 ft4NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Magnus HellbergFlames (CGY)G321991-04-04 23:11:14Yes192 Lbs6 ft5NoNoNo2Pro & Farm1,500,000$7,538$0$0$No1,500,000$
Mathieu JosephFlames (CGY)LW261997-02-09 07:26:52Yes190 Lbs6 ft1NoNoNo3Pro & Farm800,000$4,020$0$0$No800,000$800,000$
Noah DobsonFlames (CGY)D232000-01-07 03:09:05Yes183 Lbs6 ft4NoNoNo1Pro & Farm894,167$4,493$0$0$No
Pavel FrancouzFlames (CGY)G321990-06-03 11:37:49Yes175 Lbs6 ft0NoNoNo1Pro & Farm925,000$4,648$0$0$No
Rocco GrimaldiFlames (CGY)RW301993-02-08 11:11:13Yes180 Lbs5 ft6NoNoNo1Pro & Farm800,000$4,020$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.07194 Lbs6 ft11.971,037,611$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeJosh NorrisJake DeBrusk35122
2Mathieu JosephKevin StenlundKevin Fiala35122
3Alexis LafrenièreAleksi HeponiemiArttu Ruotsalainen25122
4Alan QuineHenrik BorgstromRocco Grimaldi5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Dotchin Darren Dietz35122
2Jeremy LauzonHaydn Fleury35122
3Noah DobsonJoel Hanley30122
4Jake Dotchin Darren Dietz0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeJosh NorrisJake DeBrusk60122
2Mathieu JosephKevin StenlundKevin Fiala40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Dotchin Darren Dietz60122
2Jeremy LauzonHaydn Fleury40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake DeBruskKevin Fiala60122
2Josh NorrisAdrian Kempe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Dotchin Darren Dietz60122
2Jeremy LauzonHaydn Fleury40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake DeBrusk60122Jake Dotchin Darren Dietz60122
2Kevin Fiala40122Jeremy LauzonHaydn Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake DeBruskKevin Fiala60122
2Josh NorrisAdrian Kempe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Dotchin Darren Dietz60122
2Jeremy LauzonHaydn Fleury40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeJosh NorrisJake DeBruskJake Dotchin Darren Dietz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeJosh NorrisJake DeBruskJake Dotchin Darren Dietz
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Arttu Ruotsalainen, Rocco Grimaldi, Alexis LafrenièreArttu Ruotsalainen, Rocco GrimaldiAlexis Lafrenière
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Dobson, Joel Hanley, Jeremy LauzonNoah DobsonJoel Hanley, Jeremy Lauzon
Tirs de pénalité
Jake DeBrusk, Kevin Fiala, Josh Norris, Adrian Kempe, Mathieu Joseph
Gardien
#1 : Alexandar Georgiev, #2 : Pavel Francouz
Lignes d’attaque personnalisées en prolongation
Jake DeBrusk, Kevin Fiala, Josh Norris, Adrian Kempe, Mathieu Joseph, Arttu Ruotsalainen, Arttu Ruotsalainen, Rocco Grimaldi, Alexis Lafrenière, Kevin Stenlund, Alan Quine
Lignes de défense personnalisées en prolongation
Jake Dotchin , Darren Dietz, Jeremy Lauzon, Haydn Fleury, Noah Dobson


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
1Avalanche411001011013-3210001005502010000158-340.50010162600887477131348238268345612739251029111.11%10190.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
2Blackhawks412000101113-2201000106602110000057-240.5001117280088747713140823826834561364425123900.00%10460.00%1966198148.76%962199548.22%603120350.12%1786103217477531450724
3Blues513010001618-230201000811-32110000087140.400162844008874771313882382683456155462013715640.00%10280.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
4Bruins21000100550110000002111000010034-130.75059140088747713628238268345665226424125.00%30100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
5Canadiens2020000047-31010000023-11010000024-200.00048121088747713688238268345660304485120.00%20100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
6Canucks624000001516-130300000611-53210000095440.33315203500887477131788238268345617468651502913.45%25580.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
7Capitals20100001411-71010000017-61000000134-110.2504610008874771363823826834567425865200.00%40100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
8Devils22000000835110000005231100000031241.000816240088747713648238268345653232526116.67%110.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
9Ducks632001001818032000100853312000001013-370.583183149008874771318582382683456164595616026623.08%23578.26%0966198148.76%962199548.22%603120350.12%1786103217477531450724
10Flyers21000010945110000006241000001032141.00091221008874771367823826834567030448300.00%2150.00%1966198148.76%962199548.22%603120350.12%1786103217477531450724
11Islanders2010010059-41010000025-31000010034-110.2505813008874771355823826834566519647200.00%30100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
12Kings633000002115632100000118331200000107360.500213960008874771315482382683456186487815133515.15%24483.33%0966198148.76%962199548.22%603120350.12%1786103217477531450724
13Maple Leafs20000110660100000104311000010023-130.7506915008874771363823826834568321651300.00%30100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
14Oilers722021002122-1320001001082402020001114-390.6432135561088747713199823826834561836010921332412.50%32681.25%0966198148.76%962199548.22%603120350.12%1786103217477531450724
15Penguins21100000550110000004221010000013-220.5005611008874771357823826834567128674100.00%3166.67%0966198148.76%962199548.22%603120350.12%1786103217477531450724
16Predators403001001018-82010010068-220200000410-610.125101727008874771312582382683456123452611715320.00%13653.85%0966198148.76%962199548.22%603120350.12%1786103217477531450724
17Rangers21100000853110000005141010000034-120.500813210088747713738238268345661252426116.67%10100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
18Red Wings220000001064110000004131100000065141.0001018280088747713548238268345669256418112.50%3233.33%0966198148.76%962199548.22%603120350.12%1786103217477531450724
19Sabres3120000079-21010000024-22110000055020.3337815008874771310382382683456933910618225.00%50100.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
20Senateurs22000000844110000003211100000052341.000815230088747713688238268345666261941100.00%4175.00%0966198148.76%962199548.22%603120350.12%1786103217477531450724
21Sharks612001111719-230100101913-43110001086260.500172643008874771318382382683456178656616727414.81%23769.57%0966198148.76%962199548.22%603120350.12%1786103217477531450724
22Stars521002001515031100100101002100010055060.60015243900887477131528238268345615747331271417.14%14564.29%1966198148.76%962199548.22%603120350.12%1786103217477531450724
23Wild4200100114104220000008442000100166070.8751422360088747713128823826834561183926959333.33%13192.31%0966198148.76%962199548.22%603120350.12%1786103217477531450724
Total822931041044247251-441171401621127122541121703423120129-9880.5372474036502088747713251382382683456253187360821542674115.36%2315277.49%3966198148.76%962199548.22%603120350.12%1786103217477531450724
_Since Last GM Reset822931041044247251-441171401621127122541121703423120129-9880.5372474036502088747713251382382683456253187360821542674115.36%2315277.49%3966198148.76%962199548.22%603120350.12%1786103217477531450724
_Vs Conference57182304723168177-9291010016118789-228813031128188-7580.5091682754431088747713171682382683456170156052915422183415.60%1974676.65%2966198148.76%962199548.22%603120350.12%1786103217477531450724
_Vs Division31111302311929021565003014445-116580201048453320.516921512431088747713899823826834568853003748411472013.61%1272778.74%0966198148.76%962199548.22%603120350.12%1786103217477531450724

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288L224740365025132531873608215420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82293141044247251
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117141621127122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112173423120129
Derniers 10 matchs
WLOTWOTL SOWSOL
170002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2674115.36%2315277.49%3
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
8238268345688747713
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
966198148.76%962199548.22%603120350.12%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1786103217477531450724


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 - 2022-10-181Stars4Flames3BLXSommaire du match
6 - 2022-10-2323Flames1Oilers4ALSommaire du match
8 - 2022-10-2535Oilers2Flames3BWSommaire du match
10 - 2022-10-2743Flames2Sharks1AWXXR5Sommaire du match
11 - 2022-10-2851Flames2Canucks3ALSommaire du match
14 - 2022-10-3164Canucks2Flames1BLSommaire du match
16 - 2022-11-0278Blues5Flames4BLSommaire du match
20 - 2022-11-0697Flames7Kings2AWR5Sommaire du match
22 - 2022-11-08105Kings1Flames5BWSommaire du match
23 - 2022-11-09109Flames3Ducks5ALSommaire du match
26 - 2022-11-12119Flames4Oilers3AWXSommaire du match
30 - 2022-11-16138Ducks1Flames3BWSommaire du match
32 - 2022-11-18151Sharks6Flames4BLR5Sommaire du match
34 - 2022-11-20164Flames2Sabres1AWSommaire du match
38 - 2022-11-24178Oilers3Flames2BLXSommaire du match
40 - 2022-11-26190Flames1Blackhawks5ALSommaire du match
43 - 2022-11-29199Ducks3Flames2BLXSommaire du match
46 - 2022-12-02213Flames3Oilers2AWXSommaire du match
48 - 2022-12-04226Penguins2Flames4BWSommaire du match
52 - 2022-12-08241Flames3Sharks4ALR5Sommaire du match
54 - 2022-12-10249Oilers3Flames5BWSommaire du match
59 - 2022-12-15270Maple Leafs3Flames4BWXXSommaire du match
62 - 2022-12-18286Flames4Wild3AWXSommaire du match
64 - 2022-12-20294Canadiens3Flames2BLSommaire du match
68 - 2022-12-24310Flames6Red Wings5AWSommaire du match
69 - 2022-12-25319Capitals7Flames1BLSommaire du match
72 - 2022-12-28335Flames3Islanders4ALXSommaire du match
73 - 2022-12-29343Avalanche4Flames3BLXSommaire du match
75 - 2022-12-31355Flames2Canadiens4ALSommaire du match
78 - 2023-01-03368Sharks4Flames3BLXR5Sommaire du match
82 - 2023-01-07388Flames3Devils1AWSommaire du match
83 - 2023-01-08393Predators4Flames3BLXSommaire du match
86 - 2023-01-11412Senateurs2Flames3BWSommaire du match
89 - 2023-01-14432Flames3Sharks1AWR5Sommaire du match
90 - 2023-01-15436Avalanche1Flames2BWSommaire du match
95 - 2023-01-20460Rangers1Flames5BWSommaire du match
97 - 2023-01-22470Flames3Flyers2AWXXSommaire du match
99 - 2023-01-24482Flyers2Flames6BWSommaire du match
101 - 2023-01-26494Flames3Bruins4ALXSommaire du match
103 - 2023-01-28503Flames5Senateurs2AWSommaire du match
104 - 2023-01-29508Devils2Flames5BWSommaire du match
107 - 2023-02-01522Flames2Maple Leafs3ALXSommaire du match
108 - 2023-02-02532Blues4Flames1BLSommaire du match
111 - 2023-02-05549Flames2Stars1AWSommaire du match
112 - 2023-02-06554Blackhawks3Flames2BLSommaire du match
114 - 2023-02-08569Flames3Sabres4ALSommaire du match
116 - 2023-02-10580Stars2Flames4BWSommaire du match
121 - 2023-02-15602Red Wings1Flames4BWSommaire du match
123 - 2023-02-17610Flames3Blues4ALSommaire du match
125 - 2023-02-19626Blackhawks3Flames4BWXXSommaire du match
126 - 2023-02-20635Flames1Penguins3ALSommaire du match
129 - 2023-02-23647Flames3Oilers5ALSommaire du match
130 - 2023-02-24653Bruins1Flames2BWSommaire du match
133 - 2023-02-27674Blues2Flames3BWXSommaire du match
134 - 2023-02-28681Flames3Capitals4ALXXSommaire du match
137 - 2023-03-03696Ducks1Flames3BWSommaire du match
140 - 2023-03-06712Flames5Blues3AWSommaire du match
142 - 2023-03-08721Canucks5Flames3BLSommaire du match
145 - 2023-03-11735Flames4Blackhawks2AWSommaire du match
148 - 2023-03-14746Predators4Flames3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2023-03-17760Flames2Wild3ALXXSommaire du match
152 - 2023-03-18770Flames4Ducks3AWSommaire du match
154 - 2023-03-20775Wild2Flames4BWSommaire du match
157 - 2023-03-23794Sabres4Flames2BLSommaire du match
158 - 2023-03-24801Flames4Canucks1AWSommaire du match
161 - 2023-03-27812Flames3Stars4ALXSommaire du match
162 - 2023-03-28821Wild2Flames4BWSommaire du match
165 - 2023-03-31836Flames3Canucks1AWSommaire du match
167 - 2023-04-02843Flames1Avalanche3ALSommaire du match
168 - 2023-04-03848Canucks4Flames2BLSommaire du match
171 - 2023-04-06866Stars4Flames3BLSommaire du match
172 - 2023-04-07871Flames1Kings2ALR5Sommaire du match
177 - 2023-04-12891Islanders5Flames2BLSommaire du match
178 - 2023-04-13896Flames3Rangers4ALSommaire du match
182 - 2023-04-17916Kings3Flames1BLR5Sommaire du match
183 - 2023-04-18918Flames3Ducks5ALSommaire du match
188 - 2023-04-23939Kings4Flames5BWR5Sommaire du match
189 - 2023-04-24946Flames4Avalanche5ALXXSommaire du match
190 - 2023-04-25950Flames2Predators6ALSommaire du match
194 - 2023-04-29966Sharks3Flames2BLXXR5Sommaire du match
196 - 2023-05-01977Flames2Kings3ALSommaire du match
197 - 2023-05-02981Flames2Predators4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance58,37633,128
Assistance PCT71.19%80.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2232 - 74.39% 113,766$4,664,407$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,185,756$ 3,112,834$ 1,212,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,642$ 3,290,227$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 20,165$ 20,165$




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