Connexion

Flames
GP: 49 | W: 23 | L: 19 | OTL: 7 | P: 53
GF: 137 | GA: 134 | PP%: 16.09% | PK%: 80.60%
DG: Guy Brisson | Morale : 44 | Moyenne d’équipe : 70
Prochains matchs #793 vs BlackHawks
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Centre de jeu
Kraken
16-25-7, 39pts
5
FINAL
3 Flames
23-19-7, 53pts
Team Stats
SOL1SéquenceW1
8-13-3Fiche domicile12-10-2
8-12-4Fiche visiteur11-9-5
3-6-1Derniers 10 matchs5-5-0
2.96Buts par match 2.80
3.73Buts contre par match 2.73
21.91%Pourcentage en avantage numérique16.09%
79.29%Pourcentage en désavantage numérique80.60%
Flames
23-19-7, 53pts
3
FINAL
2 Blues
21-27-3, 45pts
Team Stats
W1SéquenceL1
12-10-2Fiche domicile13-11-0
11-9-5Fiche visiteur8-16-3
5-5-0Derniers 10 matchs6-4-0
2.80Buts par match 2.49
2.73Buts contre par match 3.12
16.09%Pourcentage en avantage numérique18.02%
80.60%Pourcentage en désavantage numérique79.89%
BlackHawks
27-17-4, 58pts
2023-12-11
Flames
23-19-7, 53pts
Statistiques d’équipe
W1SéquenceW1
18-3-3Fiche domicile12-10-2
9-14-1Fiche visiteur11-9-5
5-2-310 derniers matchs5-5-0
3.15Buts par match 2.80
2.83Buts contre par match 2.80
23.12%Pourcentage en avantage numérique16.09%
84.02%Pourcentage en désavantage numérique80.60%
Flames
23-19-7, 53pts
2023-12-14
Stars
30-17-1, 61pts
Statistiques d’équipe
W1SéquenceW1
12-10-2Fiche domicile15-10-0
11-9-5Fiche visiteur15-7-1
5-5-010 derniers matchs7-3-0
2.80Buts par match 3.65
2.73Buts contre par match 3.65
16.09%Pourcentage en avantage numérique20.00%
80.60%Pourcentage en désavantage numérique78.87%
Canucks
30-18-3, 63pts
2023-12-16
Flames
23-19-7, 53pts
Statistiques d’équipe
SOW1SéquenceW1
10-12-2Fiche domicile12-10-2
20-6-1Fiche visiteur11-9-5
5-5-010 derniers matchs5-5-0
3.24Buts par match 2.80
3.00Buts contre par match 2.80
19.02%Pourcentage en avantage numérique16.09%
81.97%Pourcentage en désavantage numérique80.60%
Meneurs d'équipe
Buts
Mikael Granlund
19
Passes
Marc Staal
23
Points
Tyler Seguin
40
Plus/Moins
Haydn Fleury
12
Victoires
Vitek Vanecek
17
Pourcentage d’arrêts
Vitek Vanecek
0.933

Statistiques d’équipe
Buts pour
137
2.80 GFG
Tirs pour
1487
30.35 Avg
Pourcentage en avantage numérique
16.1%
28 GF
Début de zone offensive
39.8%
Buts contre
134
2.73 GAA
Tirs contre
1579
32.22 Avg
Pourcentage en désavantage numérique
80.6%%
39 GA
Début de la zone défensive
42.8%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurJared Bednar
DivisionDivision Pacifique
ConférenceConference Ouest
CapitaineMarc Staal
Assistant #1Alexander Ovechkin
Assistant #2Shea Theodore


Informations de l’aréna

NomPengrowth Saddledome
Capacité22,000
Assistance14,966
Billets de saison8,800


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 55
Espoirs26


Plafond salarial Non Activé

Cap Salarial de la Saison estimé72,300,000$
Plafond salarial disponible4,600,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour36,874,398$
Dépenses annuelles à ce jour44,287,386$
Revenus de la saison estimés26,119,365$
Dépenses de la saison estimées30,000,000$
Compte bancaire actuel42,125,584$
Compte bancaire projeté38,586,653$


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
1Tyler SeguinX100.0062359573749486968396937286999948568003139,500,000$
2Alexander Ovechkin (A)X99.0099577071778585877693937289999923377903829,000,000$
3Mikael GranlundX100.0059419572708788867688848179908450467603127,000,000$
4Troy TerryX100.0063459476719188786779817375737266567202613,000,000$
5Frank VatranoX100.00674587737085907362737573737173565069N0292900,000$
6Adam ErneX100.0078508071737289716973717071735755566702811,700,000$
7Zemgus GirgensonsX100.0064409669747489687768697470845655456702922,000,000$
8Nathan SmithX99.0079458973708370736674737273524868566702532,500,000$
9Joseph BlandisiX100.0071478068717076745876756572696457576702912,500,000$
10Carl GrundstromX100.007445897472778872677173707157486641670261900,000$
11Alan QuineX100.0061409772736983697371707566665450466603022,000,000$
12Marc Staal (C)X100.0094656565768485774581747869999927567403626,000,000$
13Shea Theodore (A)X99.0064459178749091844584757569818262457402826,000,000$
14Joel EdmundsonX100.00726476727686837445726683647162565970N0301900,000$
15Haydn FleuryX99.0065459279757385764577727960735164467002724,000,000$
16Brandon MontourX100.0069457074709290784583757469757051437002913,500,000$
17Josh BrownX100.0074807673767982734567677965614856596702922,000,000$
Rayé
1Tanner JeannotX21.2888916176748689766373767873605366266902623,500,000$
2Adam GaudetteX100.0064538477717789726975727471705364216702712,500,000$
3Matt BenningX100.0070468773717792714568647760735658196702912,000,000$
Équipe Mineure
1Ryan DzingelX100.0062458771717570706467686966687250516503111,200,000$
2Joel KellmanX100.0066458872677486686971687265614953586402911,000,000$
3Andrej NestrasilX100.0060419769747471707169677265605247616403211,400,000$
4Otto MakinenX100.006345907268727272716869716448476039630252750,000$
5Jeffrey VielX100.007845597471717672626769736853466458630262900,000$
6Kristian ReichelX100.006745857269727270676768766348466064630252900,000$
7Kristopher FoucaultX100.007155836872717569616767686545454662620322800,000$
8Fredrik ForsbergX100.006051877670706867636362696054506358620262800,000$
9Brandon McmillanX100.006245916969717367716564676258494256620332800,000$
10Sergey AndronovX100.006143967073717069656666706445454224620342800,000$
11Eetu TuulolaX100.007256687073687169646869656047466053620252750,000$
12Tanner FritzX100.006245977070706969636668716650465026620322800,000$
13Markus NutivaaraX100.0061429370727487734574717061765351616602923,500,000$
14Samuel MorinX100.0072518472737161754564657454554759486502811,200,000$
15Austin StrandX100.006946837275737272456762745651466651640261900,000$
16Jake WalmanX100.0067458072687374724571716960554757496402721,100,000$
17Brock BeukeboomX100.005842946775727470456766726248465046630311900,000$
18Andrew WelinskiX100.006044956974707169456767686550455346630302900,000$
19Kirill Marchenko (R)X100.006545897271828472616676747450457042650233900,000$
20Cody AlmondX100.007153876974697668666665686351454242620341800,000$
21Tye McGinnX100.006045977073696769626366696454474623620332800,000$
22Oliver KylingtonX100.006346897470737167456863696061476626640261750,000$
23Joseph CecconiX100.006946857072736963456465665649466020620261750,000$
24Joni TuulolaX100.006548887071716958456460685749465719610271750,000$
MOYENNE D’ÉQUIPE98.11684986727276797259727072666356554666
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
1Kaapo Kahkonen100.00848988798586848890868154646658700271900,000$
2Vitek Vanecek99.008286847683828986878987566461686902723,500,000$
Rayé
Équipe Mineure
1Antoine Bibeau100.007076758076818180817982595955676502911,300,000$
2Jason Missiaen100.007273738377767777787474656546596403311,400,000$
3Harri Sateri100.007880787879748177788176495442366303311,000,000$
MOYENNE D’ÉQUIPE99.8077818079808082828382805761545866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jared Bednar78858583918878CAN511500,000$


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
1Tyler SeguinFlamesC491822402004851625415511.11%483817.11671351164000032355.59%109200000.9508000113
2Mikael GranlundFlamesC491920394002109150368612.67%1288818.142462712910141593349.27%123200010.8819000242
3Alexander OvechkinFlamesLW481521363881013045170351138.82%881116.912911481550001173258.57%7000000.8928020421
4Marc StaalFlamesD49423276920151517523415.33%65106121.66369451500000131000%000100.5100000011
5Joel EdmundsonFlamesD49422262435664834162011.76%10093819.14000040000156000%000000.5500100201
6Troy TerryFlamesRW498172520003710935787.34%677915.92471133164000000045.76%5900000.6427000001
7Shea TheodoreFlamesD4971623214034609121437.69%52103321.0942653137000176200%000000.4500000110
8Haydn FleuryFlamesD4961622122044251153411.76%72104021.23336361370000145100%000000.4200000042
9Brandon MontourFlamesD4041418546067225814336.90%3379019.7614531112000022000%000000.4600000110
10Tanner JeannotFlamesLW408816-33951262810221497.84%770017.521122410700061191036.17%4700000.4601010113
11Adam ErneFlamesLW4931215920067294721386.38%962812.830000001111560043.18%4400000.4800000001
12Josh BrownFlamesD49113147631573384314342.33%7494619.3202214420001130000%000000.3000003020
13Carl GrundstromFlamesRW386713160291252174511.54%257715.2011214109000002244.00%5000000.4501000111
14Nathan SmithFlamesC496612218055628225507.32%866513.58011180000162244.62%76200000.3611000012
15Frank VatranoFlamesRW416511340102758115410.34%351012.44123729000001141.03%3900000.4312000011
16Alan QuineFlamesC497411810087546113615.22%1562112.670110500001571146.24%79800000.3500000100
17Zemgus GirgensonsFlamesRW353710320820361098.33%537510.7200000000000148.00%2500000.5300000010
18Adam GaudetteFlamesRW3336952356265412425.56%337511.3900000000001157.89%1900000.4800010010
19Joseph BlandisiFlamesLW49448131541205317367.55%358611.9800000000020030.23%4300000.2700001001
20Tye McGinnWranglers (Cal)LW80225201210360%014117.690000180000170030.00%1000000.2800000000
21Kristian ReichelWranglers (Cal)LW2011-100001120%02412.340000000000000%100000.8100000000
22Matt BenningFlamesD9101-48017330733.33%616218.0500011100002000%000000.1200000010
Statistiques d’équipe totales ou en moyenne8821332463797451145899841148741210118.94%4871450016.442850783851489112141315191649.03%429100110.52737144142320
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
1Vitek VanecekFlames2617610.9332.24152722578460100.913232425511
2Kaapo KahkonenFlames2561360.9032.93145602717320110.643142524412
Statistiques d’équipe totales ou en moyenne51231970.9192.572984241281578021374949923


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam ErneFlamesLW281995-04-20No211 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$700,549$No------------------Lien
Adam GaudetteFlamesRW271996-10-03No170 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,500,000$2,500,000$1,030,220$No------------------Lien
Alan QuineFlamesC301993-02-25No200 Lbs6 ft0NoNoN/ANoYes2Pro Only2,000,000$2,000,000$824,176$No2,000,000$--------No--------Lien
Alexander OvechkinFlamesLW381985-09-17No236 Lbs6 ft3NoNoN/ANoNo2Pro Only9,000,000$9,000,000$3,708,791$No9,000,000$--------No--------Lien
Brandon MontourFlamesD291994-04-11No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,500,000$3,500,000$1,442,308$No------------------Lien
Carl GrundstromFlamesRW261997-12-01No201 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Frank VatranoFlamesRW291994-03-14No197 Lbs5 ft11YesNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------Yes--------Lien
Haydn FleuryFlamesD271996-07-08No208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm4,000,000$4,000,000$1,648,352$No4,000,000$--------No--------Lien
Joel EdmundsonFlamesD301993-06-28No221 Lbs6 ft5YesNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Joseph BlandisiFlamesLW291994-07-18No200 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$2,500,000$1,030,220$No------------------Lien
Josh BrownFlamesD291994-01-21No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm2,000,000$2,000,000$824,176$No2,000,000$--------No--------Lien
Kaapo KahkonenFlamesG271996-08-16No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Marc StaalFlamesD361987-01-13No208 Lbs6 ft4NoNoN/ANoNo2Pro Only6,000,000$6,000,000$2,472,527$No6,000,000$--------No--------Lien
Matt BenningFlamesD291994-05-25No203 Lbs6 ft1NoNoN/ANoNo1Pro & Farm2,000,000$2,000,000$824,176$No------------------Lien
Mikael GranlundFlamesC311992-02-26No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$--------No--------Lien
Nathan SmithFlamesC251998-10-19No185 Lbs6 ft0NoNoN/ANoNo3Pro & Farm2,500,000$2,500,000$1,030,220$No2,500,000$2,500,000$-------NoNo-------Lien
Shea TheodoreFlamesD281995-08-03No195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm6,000,000$6,000,000$2,472,527$No6,000,000$--------No--------Lien
Tanner Jeannot (sur la masse salariale)FlamesLW261997-05-29No207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,500,000$0$0$Yes3,500,000$--------No--------Lien
Troy TerryFlamesRW261997-09-10No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,000,000$3,000,000$1,236,264$No------------------Lien
Tyler SeguinFlamesC311992-01-31No201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm9,500,000$9,500,000$3,914,835$No9,500,000$9,500,000$-------NoNo-------Lien
Vitek VanecekFlamesG271996-01-09No180 Lbs6 ft1NoNoN/ANoNo2Pro & Farm3,500,000$3,500,000$1,442,308$No3,500,000$--------No--------Lien
Zemgus GirgensonsFlamesRW291994-01-05No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$2,000,000$824,176$No2,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.95201 Lbs6 ft21.683,445,455$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,800,000$57,900,000$12,000,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander OvechkinTyler SeguinTroy Terry27122
2Mikael GranlundCarl Grundstrom27023
3Joseph BlandisiNathan SmithFrank Vatrano25122
4Adam ErneAlan QuineZemgus Girgensons21023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourShea Theodore34023
2Haydn FleuryMarc Staal33122
3Joel EdmundsonJosh Brown32032
4Brandon MontourMarc Staal1032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander OvechkinTyler SeguinTroy Terry52014
2Mikael GranlundCarl Grundstrom48014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shea TheodoreHaydn Fleury50014
2Marc StaalBrandon Montour50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael GranlundAdam Erne50041
2Alan Quine50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel EdmundsonMarc Staal50140
2Haydn FleuryJosh Brown50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Granlund50050Haydn FleuryShea Theodore50140
2Alan Quine50050Joel EdmundsonJosh Brown50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler SeguinZemgus Girgensons50023
2Nathan SmithAlexander Ovechkin50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryJosh Brown50023
2Joel EdmundsonShea Theodore50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander OvechkinTyler SeguinCarl GrundstromBrandon MontourShea Theodore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam ErneAlan QuineTroy TerryHaydn FleuryMarc Staal
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Smith, Joseph Blandisi, Frank VatranoNathan Smith, Frank VatranoAlan Quine
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Brown, Joel Edmundson, Haydn FleuryJosh BrownShea Theodore, Brandon Montour
Tirs de pénalité
Alexander Ovechkin, Mikael Granlund, Tyler Seguin, Troy Terry, Frank Vatrano
Gardien
#1 : Kaapo Kahkonen, #2 : Vitek Vanecek


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
1Avalanches32100000972110000003212110000065140.66791726003330863523280111344151500.00%15380.00%0874170751.20%873183647.55%35774847.73%674674223718
2BlackHawks3010010169-31010000045-12000010124-220.3336121800123086203728594333136600.00%13561.54%0874170751.20%873183647.55%35774847.73%725073233918
3Blues41200100815-720200000411-72100010044030.37581422001340134484639112029267221314.29%10460.00%0874170751.20%873183647.55%35774847.73%996991295227
4Canadiens10000010321100000103210000000000021.000347000021361211117337620300.00%30100.00%0874170751.20%873183647.55%35774847.73%2517237158
5Canucks10000010431000000000001000001043121.000448001111206945381821363133.33%8275.00%0874170751.20%873183647.55%35774847.73%2215287136
6Capitals11000000422000000000001100000042221.0004711002110301299038514224125.00%5180.00%1874170751.20%873183647.55%35774847.73%2215247125
7Coyotes210000019631000000123-11100000073430.7509172600243060151625868241431400.00%6266.67%0874170751.20%873183647.55%35774847.73%483451132512
8Ducks411000021011-1211000005412000000257-240.50010182800433113651334991266161821516.67%21290.48%0874170751.20%873183647.55%35774847.73%9363102305427
9Flyers11000000404110000004040000000000021.00047110112103161114033515175240.00%40100.00%0874170751.20%873183647.55%35774847.73%2416228126
10GoldenKnights21000010835210000108350000000000041.00081220011422581620204592225305240.00%100100.00%0874170751.20%873183647.55%35774847.73%463152152612
11Jets41300000912-32020000027-52110000075220.25091726003510993633300147363663900.00%17382.35%0874170751.20%873183647.55%35774847.73%8356106294923
12Kings21100000743110000005051010000024-220.500713200142106627201905418123510440.00%50100.00%0874170751.20%873183647.55%35774847.73%493444152613
13Kraken42200000101002110000067-12110000043140.500101929114330121414040011840266915213.33%11190.91%0874170751.20%873183647.55%35774847.73%1037489274724
14Lightning2110000034-12110000034-10000000000020.500358000030581911280541326436116.67%12283.33%0874170751.20%873183647.55%35774847.73%442951142412
15MapleLeafs11000000321000000000001100000032121.00036900012032912110215221600.00%10100.00%0874170751.20%873183647.55%35774847.73%2619207136
16Oilers31200000712-51100000032120200000410-620.333714210023209825383508921406321314.29%19573.68%0874170751.20%873183647.55%35774847.73%694772213719
17Panthers11000000624110000006240000000000021.000610160031203361314041148214250.00%4175.00%0874170751.20%873183647.55%35774847.73%2517236116
18Penguins11000000422000000000001100000042221.000481200301048191811022128207114.29%4175.00%0874170751.20%873183647.55%35774847.73%2417247115
19Predators11000000514000000000001100000051421.0005101500113036129150361412174125.00%60100.00%0874170751.20%873183647.55%35774847.73%2417247115
20Sabres1010000003-31010000003-30000000000000.00000000000032717802810421400.00%2150.00%0874170751.20%873183647.55%35774847.73%2316227137
21Sharks403000101117-62010001056-120200000611-520.250111930005501109384226714832678211436.36%17570.59%0874170751.20%873183647.55%35774847.73%946399285125
22Wild311000017701000000123-12110000054130.500713200025017831252010101341847600.00%8187.50%0874170751.20%873183647.55%35774847.73%674677233919
Total491919002451371343249100003265641251090021372702530.54113724638314434941714874914934845615794875138991742816.09%2013980.60%1874170751.20%873183647.55%35774847.73%11608001201363626311
_Since Last GM Reset491919002451371343249100003265641251090021372702530.54113724638314434941714874914934845615794875138991742816.09%2013980.60%1874170751.20%873183647.55%35774847.73%11608001201363626311
_Vs Conference40131700235110117-71868000224953-42279002136164-3390.48811019930913344429611874013913784913094164307141352115.56%1663380.12%0874170751.20%873183647.55%35774847.73%943652988296511253
_Vs Division2069000325760-31053000203222101016000122538-13200.500579915613212112560820420219325632212252397801721.25%911583.52%0874170751.20%873183647.55%35774847.73%479330489147256127

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4953W11372463831487157948751389914
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4919190245137134
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2491000326564
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2510902137270
Derniers 10 matchs
WLOTWOTL SOWSOL
450010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1742816.09%2013980.60%1
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
491493484564349417
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
874170751.20%873183647.55%35774847.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11608001201363626311


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
2 - 2023-08-2616Coyotes3Flames2BLXXSommaire du match
4 - 2023-08-2831Flames4Canucks3AWXXSommaire du match
6 - 2023-08-3046Flames1Blues2ALXSommaire du match
8 - 2023-09-0161BlackHawks5Flames4BLSommaire du match
12 - 2023-09-0583GoldenKnights0Flames4BWSommaire du match
15 - 2023-09-08106Jets3Flames0BLSommaire du match
17 - 2023-09-10119Flames2BlackHawks3ALXXSommaire du match
19 - 2023-09-12129Flames5Predators1AWSommaire du match
21 - 2023-09-14146Flames2Oilers5ALR3Sommaire du match
23 - 2023-09-16157Wild3Flames2BLXXSommaire du match
25 - 2023-09-18171Flames2Kings4ALSommaire du match
27 - 2023-09-20191Sharks3Flames4BWXXSommaire du match
29 - 2023-09-22203Flames3Kraken0AWSommaire du match
31 - 2023-09-24217Flames4Jets1AWSommaire du match
32 - 2023-09-25228Lightning3Flames0BLSommaire du match
35 - 2023-09-28246Flames3Ducks4ALXXSommaire du match
36 - 2023-09-29258Oilers2Flames3BWR3Sommaire du match
39 - 2023-10-02275Flames0BlackHawks1ALXSommaire du match
41 - 2023-10-04289Jets4Flames2BLSommaire du match
43 - 2023-10-06304Flames3Wild1AWSommaire du match
45 - 2023-10-08318Canadiens2Flames3BWXXSommaire du match
47 - 2023-10-10333Flames3MapleLeafs2AWSommaire du match
49 - 2023-10-12349Flyers0Flames4BWSommaire du match
51 - 2023-10-14366Flames2Oilers5ALR3Sommaire du match
53 - 2023-10-16378Ducks3Flames2BLSommaire du match
56 - 2023-10-19400Flames1Kraken3ALSommaire du match
58 - 2023-10-21413Panthers2Flames6BWSommaire du match
62 - 2023-10-25440Flames3Jets4ALSommaire du match
63 - 2023-10-26448Sabres3Flames0BLSommaire du match
66 - 2023-10-29471Flames4Penguins2AWSommaire du match
67 - 2023-10-30481Kraken2Flames3BWSommaire du match
70 - 2023-11-02501Lightning1Flames3BWSommaire du match
72 - 2023-11-04513Flames3Avalanches1AWSommaire du match
74 - 2023-11-06534Blues4Flames2BLSommaire du match
76 - 2023-11-08550Flames7Coyotes3AWSommaire du match
78 - 2023-11-10563Flames2Sharks5ALSommaire du match
79 - 2023-11-11572Ducks1Flames3BWSommaire du match
82 - 2023-11-14585Flames2Ducks3ALXXSommaire du match
83 - 2023-11-15601Sharks3Flames1BLSommaire du match
86 - 2023-11-18620Flames4Sharks6ALSommaire du match
88 - 2023-11-20635Kings0Flames5BWSommaire du match
91 - 2023-11-23658Flames2Wild3ALSommaire du match
93 - 2023-11-25671GoldenKnights3Flames4BWXXSommaire du match
95 - 2023-11-27689Flames3Avalanches4ALSommaire du match
97 - 2023-11-29701Avalanches2Flames3BWSommaire du match
101 - 2023-12-03727Blues7Flames2BLSommaire du match
103 - 2023-12-05746Flames4Capitals2AWSommaire du match
105 - 2023-12-07760Kraken5Flames3BLSommaire du match
107 - 2023-12-09774Flames3Blues2AWSommaire du match
109 - 2023-12-11793BlackHawks-Flames-
112 - 2023-12-14812Flames-Stars-
114 - 2023-12-16824Canucks-Flames-
116 - 2023-12-18841Flames-Coyotes-
118 - 2023-12-20854Canucks-Flames-
121 - 2023-12-23877Flames-GoldenKnights-
123 - 2023-12-25889Coyotes-Flames-
125 - 2023-12-27910Flames-Flyers-
127 - 2023-12-29920Sabres-Flames-
130 - 2024-01-01946Flames-Devils-
131 - 2024-01-02953Wild-Flames-
135 - 2024-01-06978Hurricanes-Flames-
137 - 2024-01-08995Flames-Islanders-
139 - 2024-01-101011Senators-Flames-
140 - 2024-01-111019Flames-Kings-
143 - 2024-01-141038Flames-Bruins-
145 - 2024-01-161046Predators-Flames-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181064Flames-GoldenKnights-
149 - 2024-01-201075Flames-Bruins-
150 - 2024-01-211084Avalanches-Flames-
154 - 2024-01-251112Predators-Flames-
157 - 2024-01-281138Kings-Flames-
159 - 2024-01-301152Flames-Predators-
161 - 2024-02-011166Stars-Flames-
163 - 2024-02-031181Flames-Canucks-
167 - 2024-02-071206Stars-Flames-
168 - 2024-02-081219Flames-BlueJacket-
170 - 2024-02-101232Oilers-Flames-
171 - 2024-02-111241Flames-Stars-
175 - 2024-02-151264RedWings-Flames-
176 - 2024-02-161269Flames-Rangers-
178 - 2024-02-181289Coyotes-Flames-
180 - 2024-02-201302Flames-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80006000300040001000
Prix des billets95673828185
Assistance138,61892,84240,86167,96818,886
Attendance PCT72.20%64.47%56.75%70.80%78.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 14966 - 68.03% 1,536,433$36,874,398$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
44,287,386$ 72,300,000$ 71,950,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
72,300,000$ 43,993,438$ 0$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
26,119,365$ 75 400,000$ 30,000,000$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
31,188,900$ 42,125,584$ 38,586,653$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
72,300,000$ 4,600,000$ 76,900,000$ 72,300,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alexander OvechkinAGE:38PO:23OV:79
Tanner JeannotAGE:26PO:66OV:69
Joseph BlandisiAGE:29PO:57OV:67
Adam ErneAGE:28PO:55OV:67
Jeffrey VielAGE:26PO:64OV:63
Kristian ReichelAGE:25PO:60OV:63
Kristopher FoucaultAGE:32PO:46OV:62
Tye McGinnAGE:33PO:46OV:62
Brandon McmillanAGE:33PO:42OV:62
Tyler SeguinAGE:31PO:48OV:80
Mikael GranlundAGE:31PO:50OV:76
Nathan SmithAGE:25PO:68OV:67
Alan QuineAGE:30PO:50OV:66
Joel KellmanAGE:29PO:53OV:64
Andrej NestrasilAGE:32PO:47OV:64
Otto MakinenAGE:25PO:60OV:63
Cody AlmondAGE:34PO:42OV:62
Sergey AndronovAGE:34PO:42OV:62
Troy TerryAGE:26PO:66OV:72
Frank VatranoAGE:29PO:56OV:69
Carl GrundstromAGE:26PO:66OV:67
Adam GaudetteAGE:27PO:64OV:67
Zemgus GirgensonsAGE:29PO:55OV:67
Kirill Marchenko (R)AGE:23PO:70OV:65
Ryan DzingelAGE:31PO:50OV:65
Fredrik ForsbergAGE:26PO:63OV:62
Eetu TuulolaAGE:25PO:60OV:62
Tanner FritzAGE:32PO:50OV:62

Défense #1Défense #2Gardien
Shea TheodoreAGE:28PO:62OV:74
Marc StaalAGE:36PO:27OV:74
Haydn FleuryAGE:27PO:64OV:70
Joel EdmundsonAGE:30PO:56OV:70
Brandon MontourAGE:29PO:51OV:70
Matt BenningAGE:29PO:58OV:67
Josh BrownAGE:29PO:56OV:67
Markus NutivaaraAGE:29PO:51OV:66
Samuel MorinAGE:28PO:59OV:65
Austin StrandAGE:26PO:66OV:64
Oliver KylingtonAGE:26PO:66OV:64
Jake WalmanAGE:27PO:57OV:64
Andrew WelinskiAGE:30PO:53OV:63
Brock BeukeboomAGE:31PO:50OV:63
Joseph CecconiAGE:26PO:60OV:62
Joni TuulolaAGE:27PO:57OV:61
Kaapo KahkonenAGE:27PO:66OV:70
Vitek VanecekAGE:27PO:61OV:69
Antoine BibeauAGE:29PO:55OV:65
Jason MissiaenAGE:33PO:46OV:64
Harri SateriAGE:33PO:42OV:63

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam GinningFlames940
Akil ThomasFlames919
Beau AkeyFlames15650Lien
Billy NorcrossFlames13157
Colton DachFlames1336
Daniil ChaykaFlames1330
David GoyetteFlames1428
Evan NauseFlames1338
Isaac BelliveauFlames13143
Jacob LeguerrierFlames10158
Jared McisaacFlames932
Jeremy LangloisFlames141090Lien
Keegan KarkiFlames9132
Leon GawankeFlames8131
Mason BeaupitFlames14920Lien
Noah BoykoFlames1199
Patrick MoynihanFlames10135
Ryder RolstonFlames1158
Samu SalminenFlames1349
Samuel HeleniusFlames1359
Senna PeetersFlames1135
Ty GallagherFlames13100
Tyler BrennanFlames1455
Tyler MuszelikFlames14770Lien
William FrancisFlames10120
Xavier BouchardFlames9128

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Flames Historique de transactions

[2023-08-23 12:40:35] - TRADE : From Flames to Penguins : Y:17-RND:4-Cal.
[2023-08-23 12:40:35] - TRADE : From Penguins to Flames : Jason Missiaen (64).
[2023-08-08 21:24:42] - TRADE : From MapleLeafs to Flames : Frank Vatrano (69).
[2023-08-08 20:47:44] - Joel Edmundson signed with Flames for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:47:44] - Joel Edmundson was added to Flames.
[2023-08-01 12:33:05] - Team Name Change : Wranglers changed name to Wranglers
[2023-08-01 12:31:21] - Team Name Change : Wranglers de Calgary changed name to Wranglers
[2023-08-01 12:29:15] - Team Name Change : Heat changed name to Wranglers de Calgary
[2023-08-01 02:04:43] - Kristopher Foucault signed with Flames for $800,000 for 2 year(s).
[2023-08-01 02:04:43] - Kristopher Foucault was added to Flames.
[2023-07-30 13:31:23] - Beau Akey has been added to Flames.
[2023-07-29 11:14:40] - Sergey Andronov signed with Flames for $800,000 for 2 year(s).
[2023-07-29 11:14:40] - Sergey Andronov was added to Flames.
[2023-07-26 10:53:56] - Brandon Mcmillan signed with Flames for $800,000 for 2 year(s).
[2023-07-26 10:53:56] - Brandon Mcmillan was added to Flames.
[2023-07-23 22:36:05] - Andrew Welinski signed with Flames for $900,000 for 2 year(s).
[2023-07-23 22:36:05] - Andrew Welinski was added to Flames.
[2023-07-20 09:57:05] - Ryan Dzingel signed with Flames for 1 200 000 $ for 1 year(s).
[2023-07-20 09:57:05] - Ryan Dzingel was added to Flames.
[2023-07-17 10:20:33] - Tye McGinn signed with Flames for 800 000 $ for 2 year(s).
[2023-07-17 10:20:33] - Tye McGinn was added to Flames.
[2023-07-17 10:20:09] - Tanner Fritz signed with Flames for 800 000 $ for 2 year(s).
[2023-07-17 10:20:09] - Tanner Fritz was added to Flames.
[2023-07-03 21:12:40] - Josh Brown signed with Flames for 2 000 000 $ for 2 year(s).
[2023-07-03 21:12:40] - Josh Brown was added to Flames.



[2023-12-10 19:07:59] Game 774 - Tanner Jeannot from Flames is injured (Concussion) and is out for 3 months.
[2023-11-28 21:04:16] Kirill Marchenko from Wranglers is back from Strained Right Knee Injury.
[2023-11-28 21:03:27] Successfully loaded Flames lines done with STHS Client - 3.3.8.8
[2023-11-27 19:28:34] Auto Lines Partial Function has been run for Wranglers.
[2023-11-27 19:28:34] Wranglers (Flames) lines errors : Normal line # 1 RW is empty. Normal line # 2 Defense #2 is empty. Normal line # 4 C is empty. Unknown Player is used twice in Normal lines 1 and 2. PP line1 RW is empty. 4 vs 4 line 1 C is empty. PK line 2 C is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PP line 2 Defense #2 is empty. Unknown Player is used twice in PK line#2 Unknown Player is used twice in PP lines 1 and 2. Unknown Player is used twice in 4vs4 lines 1 and 2. LastMinOff line RW is empty. LastMinOff line Defense is empty. Unknown Player is used twice in LastMinOff line Extra Forward #0 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #3 is empty. Extra Forward #5 is empty.
[2023-11-26 19:22:56] Auto Lines Partial Function has been run for Flames.
[2023-11-26 19:22:56] Auto Roster Partial Function has been run for Flames.
[2023-11-26 19:22:56] Flames roster errors : Not enough Right Wings available in Pro Team! 3 Dressed. 4 Required. Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.



Tanner Jeannot est dehors pour 2 mois à cause de Concussion Injury.



Flames Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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 des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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