Connexion

Flames
GP: 82 | W: 39 | L: 33 | OTL: 10 | P: 88
GF: 251 | GA: 280 | PP%: 14.03% | PK%: 80.43%
DG: Benoit Talbot | Morale : 35 | Moyenne d’équipe : 70
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Centre de jeu
Flames
39-33-10, 88pts
5
FINAL
2 Oilers
37-32-13, 87pts
Team Stats
L1StreakL2
23-13-5Home Record21-12-8
16-20-5Away Record16-20-5
4-4-2Last 10 Games4-4-2
3.06Buts par match 3.16
3.41Buts contre par match 3.20
14.03%Pourcentage en avantage numérique18.43%
80.43%Pourcentage en désavantage numérique83.45%
Flames
39-33-10, 88pts
1
FINAL
4 Avalanche
43-33-6, 92pts
Team Stats
L1StreakW2
23-13-5Home Record23-16-2
16-20-5Away Record20-17-4
4-4-2Last 10 Games6-4-0
3.06Buts par match 3.10
3.41Buts contre par match 3.22
14.03%Pourcentage en avantage numérique17.89%
80.43%Pourcentage en désavantage numérique84.86%
Meneurs d'équipe
Buts
Danton Heinen
37
Passes
Jake DeBrusk
47
Points
Jake DeBrusk
82
Plus/Moins
Mathieu Joseph
17
Victoires
Alexandar Georgiev
24
Pourcentage d’arrêts
Pavel Francouz
0.902

Statistiques d’équipe
Buts pour
251
3.06 GFG
Tirs pour
2574
31.39 Avg
Pourcentage en avantage numérique
14.0%
39 GF
Début de zone offensive
38.3%
Buts contre
280
3.41 GAA
Tirs contre
2563
31.26 Avg
Pourcentage en désavantage numérique
80.4%
54 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralBenoit Talbot
EntraîneurPaul MacLean
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,347
Billets de saison2,100


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 60
Espoirs44


Historique d'équipe

Saison actuelle39-33-10 (88PTS)
Historique157-133-44 (0.470%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)6-7
Coupe Stanley0


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)X98.0068397477738287876599898967616280697902513,000,000$
2Kevin Fiala (R)X98.0056378578737988935393897074707182637702533,000,000$
3Danton Heinen (R)X99.0060398877748095936590797553766054607602621,250,000$
4Roope Hintz (R)X100.007935948287898278737679718271777156740251811,667$
5Adrian Kempe (R)X100.007747757276838980777874807270697637730252800,000$
6Josh Norris (R)X100.007935927879878274877173687664688258700222925,000$
7Rocco Grimaldi (R)X100.005635947462858773587666657476716449680292800,000$
8Mathieu Joseph (R)X100.007935917473827971566771647267685549670251925,000$
9Arttu Ruotsalainen (R)X100.006442837567858269736871647268695258670243925,000$
10Alan Quine (R)X100.005436976675737670667165696677715131660291575,000$
11Akex Newhook (R)X100.006035927569857868776667617362668557660213908,333$
12Henrik Borgstrom (R)X100.006039906478777770746459706666638121640241925,000$
13Ladislav SmidX100.009986386277828386506455715099992775730362900,000$
14Jeremy Lauzon (R)X100.008656716979828066306558795168656835700251747,500$
15Haydn Fleury (R)X100.0078359274858184693070637154736783567002531,000,000$
16Darren Dietz (R)X100.009848806375618774256654795063594260690281600,000$
17Noah Dobson (R)X100.006635947685828172307362585361658419670222894,167$
Rayé
1Oscar Lindberg (R)X90.8385426469769186938287867758816252537703013,000,000$
2Kevin Stenlund (R)X100.005935936489818565766667616569646720650251864,166$
3Austin Wagner (R)X100.008742846974838766596463656667656220650241925,000$
4Mitchell Stephens (R)X100.007235936570868063776462606367647420630252833,333$
5Givani Smith (R)X100.008479746282707463596263606465647320620242714,166$
6Aleksi Heponiemi (R)X100.005035936861747266736359586863667520610233925,000$
7Ivan Chekhovich (R)X100.005035956367807464566259606463624920610233925,000$
8Thomas Chabot (R)X71.5068367979759583973098879269606280397802522,000,000$
9Joel Edmundson (R)X83.7892625666848584723076759352787261557602812,000,000$
10Evan Bouchard (R)X100.005835957182848072306962645263628620660221925,000$
11Brett CarsonX100.006027996280626651244947805099995420650361575,000$
12Joel Hanley (R)X100.007235946670857664306957645378703520650303600,000$
13Dean Kukan (R)X100.004934966374807265306752714974683620640281725,000$
14Kevin Bahl (R)X100.008178936298807361306557545261637120630213795,000$
MOYENNE D’ÉQUIPE98.03714385707681817354726770627068653969
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)100.009195937487979999989187717561568802633,000,000$
2Pavel Francouz (R)100.00877876728391939391878382885560830312925,000$
Rayé
1Magnus Hellberg (R)100.007986827880928392847374908948208203131,500,000$
MOYENNE D’ÉQUIPE100.0086868475839392959184818184554584
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul MacLean89707691998678FRA6311,000,000$


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
1Jake DeBruskFlames (CGY)RW77354782-235515515227310318012.82%49166321.60419235224305552275242.07%5238124110.9917010636
2Oscar LindbergFlames (CGY)C78344680062101621712866117411.89%45153819.731013234523912371086252.90%17733813131.0406101665
3Danton HeinenFlames (CGY)C82373774-1380971652729517013.60%41156519.0974112320021391335246.36%16225231020.9503000545
4Kevin FialaFlames (CGY)RW82293564-203915100132292811809.93%34169120.63381122200303102435044.44%1177026010.7607003244
5Thomas ChabotFlames (CGY)D7264652220011914417574703.43%106170623.704610282280227222110.00%04351000.6100000533
6Josh NorrisFlames (CGY)C822025451060921481775511011.30%24106212.96011232000021053.77%7163010000.8500000224
7Roope HintzFlames (CGY)LW8215223701715108105135457611.11%36152618.625510162580000231147.31%932820000.4812012013
8Rocco GrimaldiFlames (CGY)RW821221335004884148501018.11%24103312.600112270000245029.27%412717000.6400000311
9Mathieu JosephFlames (CGY)LW79151227171559264110346813.64%29107413.600000171017880342.47%732022000.5000001131
10Adrian KempeFlames (CGY)LW76121527-18752514090112305910.71%25128516.913149185000003155.56%721118010.4200220320
11Joel EdmundsonFlames (CGY)D81317201102102471477731383.90%91191923.70213102830004223000.00%01362000.2100200111
12Arttu RuotsalainenFlames (CGY)RW8211920-51203943101437310.89%176107.45000031121193044.44%9295000.6600000003
13Ladislav SmidFlames (CGY)D8241519-15216702391328437364.76%78171520.9212341900112137000.00%01454100.22001013001
14Haydn FleuryFlames (CGY)D8221618-810096876825372.94%85158219.2901131090112127000.00%01956000.2300000020
15Darren DietzFlames (CGY)D82113144375141955418181.85%84131716.07000013011287000.00%0233000.2100100010
16Akex NewhookFlames (CGY)C8231114-32026467024544.29%55817.0900000000000147.56%225168000.4800000101
17Jeremy LauzonFlames (CGY)D8011112168101551235816381.72%67146918.360001116000085000.00%01337000.1600002000
18Alan QuineFlames (CGY)LW515611-500154146132910.87%84128.0900000000002142.86%747000.5300000100
19Austin WagnerFlames (CGY)LW40437-38027182151319.05%82907.26000000001290012.50%8210000.4800000000
20Noah DobsonFlames (CGY)D13033-9008109420.00%920515.8000001000019000.00%001000.2900000000
21Kevin StenlundFlames (CGY)RW5000000244020.00%0367.330000000000000.00%101000.0000000000
22Henrik BorgstromFlames (CGY)C4000-200132000.00%0235.9900000000000044.44%900000.0000000000
Statistiques d’équipe totales ou en moyenne1476249410659-6373217021092004257484415289.67%8652431216.473962101217235581422571804371449.03%5289512506380.5422516512363338
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)52242040.8863.3728351411591400524220.833124933300
2Pavel FrancouzFlames (CGY)40151360.9023.192142001141161496100.750123349132
Statistiques d’équipe totales ou en moyenne923933100.8933.29497814127325611020320.792248282432


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)LW251996-09-13 05:44:01Yes201 Lbs6 ft2NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Akex NewhookFlames (CGY)C212001-01-28 02:58:23Yes190 Lbs5 ft10NoNoNo3Pro & Farm908,333$4,756$0$0$No908,333$908,333$
Alan QuineFlames (CGY)LW291993-02-25 18:35:24Yes203 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Aleksi HeponiemiFlames (CGY)C231999-01-09 02:55:54Yes148 Lbs5 ft10NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Alexandar GeorgievFlames (CGY)G261996-02-10 10:25:08Yes179 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Arttu RuotsalainenFlames (CGY)RW241997-10-29 04:15:46Yes181 Lbs5 ft8NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Austin WagnerFlames (CGY)LW241997-06-23 07:30:44Yes185 Lbs6 ft1NoNoNo1Pro & Farm925,000$4,843$0$0$No
Brett CarsonFlames (CGY)D361985-11-29 11:11:13No220 Lbs6 ft4NoNoNo1Pro & Farm575,000$3,010$0$0$No
Danton HeinenFlames (CGY)C261995-07-05 09:18:29Yes188 Lbs6 ft1NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Darren DietzFlames (CGY)D281993-07-16 06:42:37Yes206 Lbs6 ft1NoNoNo1Pro & Farm600,000$3,141$0$0$No
Dean KukanFlames (CGY)D281993-07-08 06:33:23Yes192 Lbs6 ft2NoNoNo1Pro & Farm725,000$3,796$0$0$No
Evan BouchardFlames (CGY)D221999-10-20 02:25:19Yes194 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,843$0$0$No
Givani SmithFlames (CGY)RW241998-02-27 01:21:12Yes205 Lbs6 ft2NoNoNo2Pro & Farm714,166$3,739$0$0$No714,166$
Haydn FleuryFlames (CGY)D251996-07-08 04:00:49Yes207 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Henrik BorgstromFlames (CGY)C241997-08-06 02:20:11Yes198 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,843$0$0$No
Ivan ChekhovichFlames (CGY)LW231999-01-04 03:15:11Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Jake DeBruskFlames (CGY)RW251996-10-17 13:20:08Yes188 Lbs6 ft0NoNoNo1Pro & Farm3,000,000$15,707$0$0$No
Jeremy LauzonFlames (CGY)D251997-04-28 02:22:22Yes205 Lbs6 ft2NoNoNo1Pro & Farm747,500$3,914$0$0$No
Joel Edmundson (sur la masse salariale)Flames (CGY)D281993-06-28 04:30:16Yes215 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$10,471$0$0$No
Joel HanleyFlames (CGY)D301991-06-08 06:37:23Yes190 Lbs5 ft11NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Josh NorrisFlames (CGY)C221999-05-05 02:56:41Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Kevin BahlFlames (CGY)D212000-06-27 03:01:06Yes229 Lbs6 ft6NoNoNo3Pro & Farm795,000$4,162$0$0$No795,000$795,000$
Kevin FialaFlames (CGY)RW251996-07-22 05:11:13Yes193 Lbs5 ft10NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Kevin StenlundFlames (CGY)RW251996-09-20 02:17:36Yes209 Lbs6 ft4NoNoNo1Pro & Farm864,166$4,524$0$0$No
Ladislav SmidFlames (CGY)D361986-02-01 17:11:13No212 Lbs6 ft3NoNoNo2Pro & Farm900,000$4,712$0$0$No900,000$
Magnus HellbergFlames (CGY)G311991-04-04 23:11:14Yes192 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Mathieu JosephFlames (CGY)LW251997-02-09 07:26:52Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$4,843$0$0$No
Mitchell StephensFlames (CGY)C251997-02-05 03:05:21Yes194 Lbs6 ft0NoNoNo2Pro & Farm833,333$4,363$0$0$No833,333$
Noah DobsonFlames (CGY)D222000-01-07 03:09:05Yes183 Lbs6 ft4NoNoNo2Pro & Farm894,167$4,682$0$0$No894,167$
Oscar Lindberg (sur la masse salariale)Flames (CGY)C301991-10-29 23:11:13Yes202 Lbs6 ft1NoNoNo1Pro & Farm3,000,000$15,707$0$0$No
Pavel FrancouzFlames (CGY)G311990-06-03 11:37:49Yes175 Lbs6 ft0NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Rocco GrimaldiFlames (CGY)RW291993-02-08 11:11:13Yes180 Lbs5 ft6NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Roope HintzFlames (CGY)LW251996-11-17 02:27:43Yes220 Lbs6 ft3NoNoNo1Pro & Farm811,667$4,250$0$0$No
Thomas Chabot (sur la masse salariale)Flames (CGY)D251997-01-30 05:55:22Yes196 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$10,471$0$0$No2,000,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3426.12196 Lbs6 ft11.881,182,892$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roope HintzDanton HeinenJake DeBrusk35122
2Adrian KempeJosh NorrisKevin Fiala35122
3Mathieu JosephAkex NewhookRocco Grimaldi25122
4Alan QuineHenrik BorgstromArttu Ruotsalainen5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ladislav Smid35122
2Haydn FleuryJeremy Lauzon35122
3Darren DietzNoah Dobson30122
4Ladislav Smid0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Roope HintzDanton HeinenJake DeBrusk60122
2Adrian KempeJosh NorrisKevin Fiala40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake DeBruskKevin Fiala60122
2Danton HeinenRoope Hintz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake DeBrusk60122Ladislav Smid60122
2Kevin Fiala40122Haydn FleuryJeremy Lauzon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake DeBruskKevin Fiala60122
2Danton HeinenRoope Hintz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzDanton HeinenJake DeBruskLadislav Smid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Roope HintzDanton HeinenJake DeBruskLadislav Smid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rocco Grimaldi, Mathieu Joseph, Arttu RuotsalainenRocco Grimaldi, Mathieu JosephArttu Ruotsalainen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Darren Dietz, Noah Dobson, Haydn FleuryDarren DietzNoah Dobson, Haydn Fleury
Tirs de pénalité
Jake DeBrusk, Kevin Fiala, Danton Heinen, Roope Hintz, Adrian Kempe
Gardien
#1 : Alexandar Georgiev, #2 : Pavel Francouz
Lignes d’attaque personnalisées en prolongation
Jake DeBrusk, Kevin Fiala, Danton Heinen, Roope Hintz, Adrian Kempe, Josh Norris, Josh Norris, Rocco Grimaldi, Mathieu Joseph, Arttu Ruotsalainen, Akex Newhook
Lignes de défense personnalisées en prolongation
, Ladislav Smid, Haydn Fleury, Jeremy Lauzon, Darren Dietz


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
1Avalanche402001011117-620100001911-22010010026-420.2501114250079937181358838198346212843269710220.00%13192.31%0999200349.88%978202148.39%616120850.99%1845110117317381403703
2Blackhawks41102000963210010004132010100055060.7509132201799371811488381983462120393910918211.11%17288.24%0999200349.88%978202148.39%616120850.99%1845110117317381403703
3Blues42200000911-2211000005502110000046-240.5009162500799371811788381983462122433911610110.00%12375.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
4Bruins20001010862100000104311000100043141.00081119007993718658838198346263291745300.00%6183.33%0999200349.88%978202148.39%616120850.99%1845110117317381403703
5Canadiens32000100761210001003301100000043150.833711180079937189588381983462104406715120.00%30100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
6Canucks633000001718-133000000105530300000713-660.50017304700799371818288381983462170509017833515.15%25484.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
7Capitals210000015411000000123-11100000031230.750571200799371875883819834625626657400.00%30100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
8Devils220000001064110000003121100000075241.00010182800799371869883819834627819246300.00%110.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
9Ducks6220100117170311010009903110000188070.58317304700799371818688381983462179577616429517.24%23386.96%0999200349.88%978202148.39%616120850.99%1845110117317381403703
10Flyers21100000811-3110000007521010000016-520.50081321007993718788838198346262161347500.00%4250.00%1999200349.88%978202148.39%616120850.99%1845110117317381403703
11Islanders2020000058-31010000034-11010000024-200.0005914107993718558838198346261311051400.00%5260.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
12Kings633000001827-932100000912-331200000915-660.50018294700799371817488381983462202529614221419.05%38684.21%0999200349.88%978202148.39%616120850.99%1845110117317381403703
13Maple Leafs210000011394110000008351000000156-130.750132033007993718728838198346279271251300.00%6350.00%1999200349.88%978202148.39%616120850.99%1845110117317381403703
14Oilers622001011618-230200100612-632000001106460.50016274300799371817188381983462176725915836616.67%22577.27%1999200349.88%978202148.39%616120850.99%1845110117317381403703
15Penguins2110000078-11010000015-41100000063320.5007111800799371877883819834625923852200.00%40100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
16Predators42100010181532110000077021000010118360.750182846007993718126883819834621354534881218.33%12375.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
17Rangers2010100078-1100010003211010000046-220.50071320007993718548838198346269221049400.00%5180.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
18Red Wings3120000089-1211000007611010000013-220.333811191079937188788381983462923117639333.33%6350.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
19Sabres30200100512-71010000014-32010010048-410.16758130079937189288381983462922616828112.50%8187.50%0999200349.88%978202148.39%616120850.99%1845110117317381403703
20Senateurs220000001055110000004221100000063341.000101626007993718668838198346274226434125.00%3233.33%0999200349.88%978202148.39%616120850.99%1845110117317381403703
21Sharks715001001736-19311001001012-240400000724-1730.21417304700799371822288381983462226709219039615.38%31970.97%0999200349.88%978202148.39%616120850.99%1845110117317381403703
22Stars40301000815-7201010006602020000029-720.250812200079937181378838198346211035251191000.00%110100.00%2999200349.88%978202148.39%616120850.99%1845110117317381403703
23Wild44000000188102200000010552200000083581.000183351007993718125883819834621064747916116.67%18288.89%3999200349.88%978202148.39%616120850.99%1845110117317381403703
Total82313306525251280-2941181304312131126541132002213120154-34880.537251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
_Since Last GM Reset82313306525251280-2941181304312131126541132002213120154-34880.537251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
_Vs Conference55202404313158188-30271290320185850288150111273103-30560.509158262420017993718168988381983462167455362314522243314.73%2223882.88%6999200349.88%978202148.39%616120850.99%1845110117317381403703
_Vs Division3111150120285116-311575012004450-616410000024166-25280.45285146231007993718935883819834629533014138321582616.46%1392780.58%1999200349.88%978202148.39%616120850.99%1845110117317381403703

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288L125141066125742563865746210921
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8231336525251280
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118134312131126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113202213120154
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2783914.03%2765480.43%8
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
883819834627993718
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
999200349.88%978202148.39%616120850.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1845110117317381403703


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 - 2021-10-152Flames2Kings4ALR5Sommaire du match
3 - 2021-10-1715Kings2Flames4BWSommaire du match
8 - 2021-10-2231Flames2Oilers3ALXXSommaire du match
9 - 2021-10-2342Oilers3Flames2BLXSommaire du match
11 - 2021-10-2551Flames1Sharks6ALR5Sommaire du match
14 - 2021-10-2863Ducks3Flames4BWXSommaire du match
16 - 2021-10-3077Flames5Ducks2AWSommaire du match
19 - 2021-11-0290Canucks2Flames4BWSommaire du match
22 - 2021-11-05104Sharks4Flames5BWR5Sommaire du match
24 - 2021-11-07117Flames5Canucks6ALSommaire du match
27 - 2021-11-10127Flames1Sharks6ALR5Sommaire du match
29 - 2021-11-12138Sharks3Flames2BLXSommaire du match
31 - 2021-11-14150Avalanche4Flames3BLSommaire du match
34 - 2021-11-17169Wild2Flames6BWSommaire du match
37 - 2021-11-20180Flames3Sharks7ALR5Sommaire du match
39 - 2021-11-22190Flames7Predators5AWSommaire du match
42 - 2021-11-25204Predators3Flames4BWSommaire du match
44 - 2021-11-27212Flames6Penguins3AWSommaire du match
46 - 2021-11-29224Predators4Flames3BLSommaire du match
49 - 2021-12-02238Flames4Kings3AWR5Sommaire du match
51 - 2021-12-04252Red Wings4Flames2BLSommaire du match
53 - 2021-12-06262Flames3Kings8ALR5Sommaire du match
55 - 2021-12-08274Kings2Flames3BWSommaire du match
57 - 2021-12-10285Flames4Rangers6ALSommaire du match
58 - 2021-12-11296Flames2Islanders4ALSommaire du match
60 - 2021-12-13305Sharks5Flames3BLR5Sommaire du match
64 - 2021-12-17324Avalanche7Flames6BLXXSommaire du match
66 - 2021-12-19337Flames3Blues2AWSommaire du match
69 - 2021-12-22346Devils1Flames3BWSommaire du match
71 - 2021-12-24355Flames2Ducks4ALSommaire du match
73 - 2021-12-26366Flames5Wild2AWSommaire du match
75 - 2021-12-28376Wild3Flames4BWSommaire du match
76 - 2021-12-29387Flames3Wild1AWSommaire du match
79 - 2022-01-01397Maple Leafs3Flames8BWSommaire du match
81 - 2022-01-03407Flames4Predators3AWXXSommaire du match
84 - 2022-01-06424Kings8Flames2BLR5Sommaire du match
86 - 2022-01-08434Flames5Maple Leafs6ALXXSommaire du match
88 - 2022-01-10444Flyers5Flames7BWSommaire du match
90 - 2022-01-12456Flames1Flyers6ALSommaire du match
92 - 2022-01-14470Bruins3Flames4BWXXSommaire du match
96 - 2022-01-18492Canadiens1Flames2BWSommaire du match
98 - 2022-01-20504Flames2Blackhawks3ALSommaire du match
100 - 2022-01-22512Flames1Ducks2ALXXSommaire du match
101 - 2022-01-23521Red Wings2Flames5BWSommaire du match
104 - 2022-01-26536Flames2Sabres5ALSommaire du match
106 - 2022-01-28543Senateurs2Flames4BWSommaire du match
108 - 2022-01-30561Canucks2Flames3BWSommaire du match
109 - 2022-01-31566Flames6Senateurs3AWSommaire du match
113 - 2022-02-04583Flames4Canadiens3AWSommaire du match
114 - 2022-02-05591Stars4Flames3BLSommaire du match
117 - 2022-02-08608Flames1Blues4ALSommaire du match
118 - 2022-02-09615Canucks1Flames3BWSommaire du match
121 - 2022-02-12627Flames1Stars5ALSommaire du match
123 - 2022-02-14638Stars2Flames3BWXSommaire du match
125 - 2022-02-16651Flames1Stars4ALSommaire du match
126 - 2022-02-17662Flames7Devils5AWSommaire du match
128 - 2022-02-19669Rangers2Flames3BWXSommaire du match
131 - 2022-02-22683Flames1Red Wings3ALSommaire du match
132 - 2022-02-23690Blackhawks0Flames2BWSommaire du match
135 - 2022-02-26709Capitals3Flames2BLXXSommaire du match
136 - 2022-02-27718Flames3Capitals1AWSommaire du match
138 - 2022-03-01733Canadiens2Flames1BLXSommaire du match
143 - 2022-03-06753Penguins5Flames1BLSommaire du match
144 - 2022-03-07763Flames1Canucks5ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2022-03-11779Blues4Flames2BLSommaire du match
152 - 2022-03-15799Islanders4Flames3BLSommaire du match
154 - 2022-03-17813Flames1Canucks2ALSommaire du match
156 - 2022-03-19822Blues1Flames3BWSommaire du match
159 - 2022-03-22841Flames3Blackhawks2AWXSommaire du match
160 - 2022-03-23845Flames2Sharks5ALR5Sommaire du match
162 - 2022-03-25854Oilers3Flames1BLSommaire du match
165 - 2022-03-28869Flames3Oilers1AWSommaire du match
166 - 2022-03-29875Sabres4Flames1BLSommaire du match
168 - 2022-03-31885Flames2Sabres3ALXSommaire du match
170 - 2022-04-02898Ducks3Flames1BLSommaire du match
174 - 2022-04-06917Oilers6Flames3BLSommaire du match
178 - 2022-04-10937Ducks3Flames4BWSommaire du match
179 - 2022-04-11940Flames1Avalanche2ALXSommaire du match
184 - 2022-04-16959Flames4Bruins3AWXSommaire du match
187 - 2022-04-19966Blackhawks1Flames2BWXSommaire du match
188 - 2022-04-20971Flames5Oilers2AWSommaire du match
189 - 2022-04-21974Flames1Avalanche4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance58,02338,201
Assistance PCT70.76%93.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2347 - 78.23% 117,419$4,814,176$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,932,739$ 3,321,834$ 1,766,834$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,392$ 3,938,064$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 22,627$ 22,627$




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
1Jake DeBrusk236102142244111544843177413.18%142497121.07155368145213151715442.21%30.98224
2Oscar Lindberg23093133226416447448278311.88%119427518.592835631192461516553.14%61.06214
3Kevin Fiala246105108213-3310029837485312.31%104480019.51162743797183118144.24%50.89220
4Danton Heinen24695117212-242830445872513.10%106460918.74201838715272413545.93%40.92214
5Thomas Chabot2172413816230763464454944.86%309511823.591417318107715220.00%00.6300

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
1Alexandar Georgiev1708161150.8873.49931130454248131911640.79248
2Pavel Francouz803026120.9023.194284002282322992200.75024
3Magnus Hellberg287860.8863.4913412078682292100.70010

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
Saison régulière
1282293808124295315-2041161705111152153-141132103013143162-19582954847793087111871129571011983944362962971122422382874917.07%3206579.69%61042220647.23%1007217646.28%649136647.51%1791103417547491423710
1582322904746303308-5411812034131641531141141701333139155-1693303501804029010310211260587086485848269589173121892615019.16%2877573.87%9948190649.74%997202449.26%601127547.14%1831111818017111354674
1682313306525251280-2941181304312131126541132002213120154-3488251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
1682313306525251280-2941181304312131126541132002213120154-3488251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
Total Saison régulière32812313302418102011001183-8316470550161148578558201645378087612522625-10332711001805290574335400331381071036473485347020810783359234478645110417716.03%115924878.60%313988811849.13%3960824248.05%2482505749.08%731343567019293755852791
Séries éliminatoires
151367000003640-4624000001519-4743000002121012366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112
Total Séries éliminatoires1367000003640-4624000001519-4743000002121012366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112

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
1Jake DeBrusk13811195619225016.00%627120.892681410120129.41%01.4000
2Jake Guentzel1388165223256013.33%827321.044371801112043.16%01.1700
3Oscar Lindberg1321315382623277.41%524318.72156300021156.58%01.2300
4Thomas Chabot131670122029175.88%1931524.2501100000000.00%00.4400
5Danton Heinen13437-521832439.30%721816.78202700000149.52%00.6400

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
1Alexandar Georgiev126420.9102.986850034377154010.0000
2Magnus Hellberg30100.8862.681122054420000.0000