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Centre de jeu
Flames
22-40-5, 49pts
3
FINAL
4 Kings
44-20-4, 92pts
Team Stats
L1StreakOTW1
14-18-2Home Record26-5-2
8-22-3Away Record18-15-2
3-6-1Last 10 Games8-2-0
2.94Goals Per Game3.88
3.85Goals Against Per Game2.79
18.71%Power Play Percentage21.22%
76.18%Penalty Kill Percentage82.96%
Flames
22-40-5, 49pts
4
FINAL
6 Ducks
28-31-7, 63pts
Team Stats
L1StreakW1
14-18-2Home Record13-17-3
8-22-3Away Record15-14-4
3-6-1Last 10 Games3-6-1
2.94Goals Per Game3.30
3.85Goals Against Per Game3.73
18.71%Power Play Percentage19.87%
76.18%Penalty Kill Percentage80.31%
Blackhawks
21-36-10, 52pts
Jour 147
Flames
22-40-5, 49pts
Stats Équipe
L6SéquenceL1
10-19-5Fiche domicile14-18-2
11-17-5Fiche visiteur8-22-3
2-6-210 derniers matchs3-6-1
2.73Buts par match 2.94
3.57Buts contre par match 3.85
16.29%Pourcentage en avantage numérique18.71%
81.53%Pourcentage en désavantage numérique76.18%
Avalanche
22-40-6, 50pts
Jour 149
Flames
22-40-5, 49pts
Stats Équipe
L1SéquenceL1
11-22-3Fiche domicile14-18-2
11-18-3Fiche visiteur8-22-3
3-7-010 derniers matchs3-6-1
3.09Buts par match 2.94
4.10Buts contre par match 3.85
19.34%Pourcentage en avantage numérique18.71%
76.23%Pourcentage en désavantage numérique76.18%
Flames
22-40-5, 49pts
Jour 151
Sabres
48-16-3, 99pts
Stats Équipe
L1SéquenceW4
14-18-2Fiche domicile26-8-0
8-22-3Fiche visiteur22-8-3
3-6-110 derniers matchs7-3-0
2.94Buts par match 3.72
3.85Buts contre par match 2.58
18.71%Pourcentage en avantage numérique22.19%
76.18%Pourcentage en désavantage numérique85.99%
Meneurs d'équipe
Tyler BertuzziButs
Tyler Bertuzzi
25
Macklin CelebriniPasses
Macklin Celebrini
50
Macklin CelebriniPoints
Macklin Celebrini
67
Owen PowerPlus/Moins
Owen Power
17
Dan VladarVictoires
Dan Vladar
16
Dan VladarPourcentage d’arrêts
Dan Vladar
0.901

Stats Équipe
Buts pour
197
2.94 GFG
Tirs pour
1979
29.54 Avg
Pourcentage en avantage numérique
18.7%
58 GF
Début de zone offensive
38.3%
Buts contre
258
3.85 GAA
Tirs contre
2336
34.87 Avg
Pourcentage en désavantage numérique
76.2%
86 GA
Début de la zone défensive
43.5%


Blessure/Suspension
Laurent Dauphin


Laurent Dauphin

est dehors pour 1 jours à cause de Bruised Right Foot Injury.
Logan Mailloux


Logan Mailloux

est dehors pour 6 jours à cause de Right Foot Injury.
Information d’équipe
Directeur généralDaniel Pelchat
EntraîneurJohn Tortorella
DivisionPacific
ConférenceWestern
CapitaineMacklin Celebrini
Assistant #1Yanni Gourde
Assistant #2Travis Hamonic
Uniformes
Informations de l’aréna
NomSeb Center
Capacité25,000
Assistance23,068
Billets de saison10,000
Information formation
Équipe Pro23
Équipe Mineure23
Limite contact 46 / 50
Espoirs57
Plafond salarial
Cap Salarial de la Saison estimé70,407,331$
Plafond salarial disponible19,592,669$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour56,833,295$
Dépenses annuelles à ce jour58,836,366$
Revenus de la saison estimés11,700,972$
Dépenses de la saison estimées13,570,970$
Compte bancaire actuel231,284,355$
Compte bancaire projeté228,935,910$
Historique d'équipe
Saison actuelle22-40-5 (49PTS)
Historique895-678-147 (0.520%)
Apparitions séries éliminatoires 15
Historique séries éliminatoires (W-L)106-89
Stanley Cup2


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
1Macklin Celebrini (R) (C)X99.005246829256879182838579715760749916750193925,000$
2Yanni Gourde (A)X99.0085537287428282678575607573908625167003436,100,000$
3Tyler BertuzziX100.0057537883658299684063736240828245196803026,525,000$
4Evan RodriguesX100.0077438183508099618057656365868335186703213,500,000$
5Evander KaneX98.0099636882746050684061766352907525176703431$
6Tanner PearsonX100.0069518879677496594056636858888130186603312,950,000$
7Adam GaudetteX100.0060468780577298588547696890807650186502923,275,000$
8Juuso ParssinenX100.0082588277737276598257606240707175146402421,400,000$
9Sonny MilanoX100.005047868358605064405375715480705096302922,500,000$
10Evgeny KuznetsovX100.0050528079696050618056605683887430186103318,500,000$
11Kailer YamamotoX100.0058408781447551554047646490767660186002722,600,000$
12Owen PowerX100.004861867886859768407461769068778065720231925,000$
13Olli MaattaX100.0048528676698296554057538040848340186903132,500,000$
14Timothy LiljegrenX100.0062507978648289574053617340747865186802623,100,000$
15Travis Hamonic (A)X100.0069518476597883504048527140928520176603532,500,000$
16Jake BeanX100.0048478875597587504046547440767660186402721,418,000$
17Simon NemecX100.004247807758746253404659604064699015590211925,000$
Rayé
1Laurent DauphinX94.41594573825472626140596470408277458640302950,000$
2Matthew DumbaX100.0066527177567586524052526840848040136503115,000,000$
3Logan MaillouxX89.607062677573676250404753657366678511620222925,000$
Équipe Mineure
1Benoit-Olivier GroulxX100.009350727864605057705856674072667022610253850,000$
2Garrett PilonX100.0058467278577767547065435940767760176002711,500,000$
3Jared DavidsonX100.005149767853786852404559709068738019600232925,000$
4Olle LycksellX100.005138888240745656406250634074746517590263875,000$
5Avery HayesX100.004340718145695954404661704068698017580232575,000$
6Ryder RolstonX100.005749867560726246404348694070717517570242575,000$
7Luke ToporowskiX100.005551777649625247404350684070667517550242575,000$
8Philippe DaoustX100.004441857561615142704539564070667518520242575,000$
9Gavin HainX100.005655787557605033702740554066638518490222575,000$
10Jaxsen WiebeX100.006463837566605028402037584068648016480232575,000$
11Caleb JonesX100.0072488175605550464055367040786755126002822,300,000$
12William TrudeauX100.005152747566726738403739704068708017600231925,000$
13David ReinbacherX100.006047707572555050404555654064609017590212925,000$
14Mason MillmanX100.006149847550565138403442704070637517570242575,000$
15Ronan SeeleyX100.007461897559736832402835544068718018570232575,000$
16Tyson HindsX100.006056787567757037403637514066718515570222925,000$
17Harrison Brunicke (R)X100.007468548169555033403630564060589917550193925,000$
18Tyrel BauerX100.005570547577635826402330504068668015530232575,000$
19Lleyton MooreX100.004344897543555037403538604068628019530232575,000$
20Xavier BouchardX100.006259757565555031403130504072647015530251900,000$
MOYENNE D’ÉQUIPE99.48615179786070675149495365507472651861
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
1Dan Vladar100.008467709778817779767786788055187802855,950,000$
2Yaroslav Askarov99.00805060867976757473799968728071730231925,000$
Rayé
1Kaapo Kahkonen100.008164669450505050505040806550206002935,500,000$
Équipe Mineure
1Louis Domingue100.007654609350505050505040886930325903321,000,000$
2Jack Campbell100.008150609350505050505040886930235903311,475,000$
3Cal Petersen100.007758608650505050505099846740155803113,000,000$
MOYENNE D’ÉQUIPE99.8380576392606059595859678170483065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella83727691998436USA6742,000,000$


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
1Macklin CelebriniFlamesC62175067-34021197243631727.00%13123819.9862127822351013924251.25%171500001.0801000452
2Tyler BertuzziFlamesLW67252550-1181034912095013311.96%8124218.545611522510002283336.27%10200000.8101101126
3Evander KaneFlamesRW6724184211201020869116298920.69%5106115.85751235184000080435.82%6700000.7900100424
4Yanni GourdeFlamesC5793241-18800136188144361246.25%13110219.34313164321501131602052.39%140100000.7402000120
5Timothy LiljegrenFlamesD6783240-38001478010846667.41%133151222.5851722602340110246300.00%000100.5300000110
6Owen PowerFlamesD6710304017201094659274716.95%62109016.28661231174000156110.00%000000.7300011211
7Olli MaattaFlamesD67152035-1538105790106294814.15%130149922.38527461370000291110.00%000100.4700001021
8Evan RodriguesFlamesLW67151934-1822059881414411910.64%8112416.785813402400000642049.48%9700000.6000000021
9Sonny MilanoFlamesRW61141529-6201074147371059.52%975412.362247700001202035.56%4500000.7700000111
10Adam GaudetteFlamesRW6781422-15120348610529797.62%6103615.474592413410141680146.46%19800000.4200000100
11Laurent DauphinFlamesC6781422-3180486710229657.84%106559.790111301131072032.39%70700000.6700000011
12Jake BeanFlamesD5851621-922048536113508.20%60109518.89471127152000043000.00%000000.3800000000
13Tanner PearsonFlamesLW6771421-518038769723777.22%15101715.19325126010153080129.20%11300000.4111000001
14Travis HamonicFlamesD6061117-146001185047133612.77%87116719.45235181500004246000.00%000000.2900000102
15Matthew DumbaFlamesD46512170815117284172612.20%6593720.37224241370000151000.00%000000.3600001200
16Caleb JonesDarkness (Cal)D30211131400629174911.76%3144114.71112538000135100.00%000000.5900000010
17Evgeny KuznetsovFlamesLW61639-129573535102217.14%04807.8801103000081061.11%5400000.3700001000
18Kailer YamamotoFlamesRW48167-2807164210332.38%43757.8300000000000035.00%2000000.3700000000
19Juuso ParssinenFlamesC32246-812044513010216.67%732910.31000000003880055.53%38000000.3600000001
20Logan MaillouxFlamesD31235-1169158115246138.33%3852616.971231068011029000.00%000000.1900012010
21Simon NemecFlamesD18134-4120131482112.50%2831417.45000322000039000.00%000000.2500000000
22William TrudeauDarkness (Cal)D7000-475730020.00%78311.980000000001000.00%000000.0000001000
23Jared DavidsonDarkness (Cal)LW2000000011000.00%063.100000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1176190352542-13275270130514271883517133710.09%7391909416.24611041655202518347302200221347.83%489900200.5715228182121
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
1Dan VladarFlames47162430.9013.4325934014814920220.00004222320
2Kaapo KahkonenFlames163710.8724.7472200574470000.00021242000
3Yaroslav AskarovFlames102710.8843.8457800373180000.33331010001
4Jack CampbellDarkness (Cal)31200.8445.111410012770000.000030000
Statistiques d’équipe totales ou en moyenne76224050.8913.7840364025423340220.20056774321


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Adam GaudetteFlamesRW291996-10-03No187 Lbs6 ft1YesNoYes2Pro & Farm3,275,000$3,275,000$643,961$No3,275,000$
UFA
Lien / Lien NHL
Dan VladarFlamesG281997-08-20No185 Lbs6 ft5YesNoYes5Pro Only5,950,000$5,950,000$1,169,944$No5,950,000$5,950,000$5,950,000$5,950,000$
UFA
Lien / Lien NHL
Evan RodriguesFlamesLW321993-07-28No182 Lbs5 ft11NoNoYes1Pro & Farm3,500,000$3,500,000$688,202$No
UFA
Lien / Lien NHL
Evander KaneFlamesRW341991-08-02No218 Lbs6 ft2YesNoYes3Pro Only1$1$0$No6,950,000$6,950,000$
UFA
Lien / Lien NHL
Evgeny KuznetsovFlamesLW331992-05-19No207 Lbs6 ft2NoNoYes1Pro Only8,500,000$8,500,000$1,671,348$No
UFA
Lien / Lien NHL
Jake BeanFlamesD271998-06-09No191 Lbs6 ft1NoNoNo2Pro & Farm1,418,000$1,418,000$278,820$No1,418,000$
UFA
Lien / Lien NHL
Juuso ParssinenFlamesC242001-02-01No212 Lbs6 ft3NoNoNo2Pro & Farm1,400,000$1,400,000$275,281$No1,400,000$
RFA
Lien / Lien NHL
Kaapo KahkonenFlamesG291996-08-16No214 Lbs6 ft2NoNoYes3Pro Only5,500,000$5,500,000$1,081,461$No5,500,000$5,500,000$
UFA
Lien / Lien NHL
Kailer YamamotoFlamesRW271998-09-29No178 Lbs5 ft9NoNoYes2Pro & Farm2,600,000$2,600,000$511,236$No2,600,000$
UFA
Lien / Lien NHL
Laurent Dauphin (sur la masse salariale)FlamesC301995-03-27No181 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$186,798$No950,000$
UFA
Lien / Lien NHL
Logan Mailloux (sur la masse salariale)FlamesD222003-04-15No212 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$181,882$No925,000$
RFA
Lien / Lien NHL
Macklin CelebriniFlamesC192006-06-13Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$181,882$No925,000$925,000$
RFA
Lien / Lien NHL
Matthew DumbaFlamesD311994-07-25No185 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$983,146$No
UFA
Lien / Lien NHL
Olli MaattaFlamesD311994-08-22No207 Lbs6 ft2YesNoYes3Pro & Farm2,500,000$2,500,000$491,573$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Owen PowerFlamesD232002-11-22No226 Lbs6 ft6NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Simon NemecFlamesD212004-02-15No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Sonny MilanoFlamesRW291996-05-12No194 Lbs6 ft0NoNoYes2Pro & Farm2,500,000$2,500,000$491,573$No2,500,000$
UFA
Lien / Lien NHL
Tanner PearsonFlamesLW331992-08-10No207 Lbs6 ft1NoNoYes1Pro & Farm2,950,000$2,950,000$580,056$No
UFA
Lien / Lien NHL
Timothy LiljegrenFlamesD261999-04-30No201 Lbs6 ft1NoNoYes2Pro & Farm3,100,000$3,100,000$609,551$No3,100,000$
UFA
Lien / Lien NHL
Travis HamonicFlamesD351990-08-16No195 Lbs6 ft0NoNoYes3Pro & Farm2,500,000$2,500,000$491,573$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Tyler BertuzziFlamesLW301995-02-24No200 Lbs6 ft2YesNoYes2Pro Only6,525,000$6,525,000$1,283,006$No6,525,000$
UFA
Lien / Lien NHL
Yanni GourdeFlamesC341991-12-15No174 Lbs5 ft9YesNoYes3Pro Only6,100,000$6,100,000$1,199,438$No6,100,000$6,100,000$
UFA
Lien / Lien NHL
Yaroslav AskarovFlamesG232002-06-16No178 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$181,882$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.26196 Lbs6 ft12.092,995,348$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
68,893,001$53,118,000$30,425,000$5,950,000$5,950,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BertuzziMacklin CelebriniEvander Kane35122
2Tanner PearsonYanni GourdeSonny Milano30122
3Evan RodriguesKailer Yamamoto23122
4Evgeny KuznetsovJuuso ParssinenAdam Gaudette12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerTimothy Liljegren35122
2Jake BeanOlli Maatta30122
3Travis HamonicSimon Nemec25122
4Olli MaattaSimon Nemec10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesMacklin CelebriniEvander Kane60122
2Tyler BertuzziYanni GourdeSonny Milano40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean60122
2Olli MaattaSimon Nemec40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner Pearson60122
2Evgeny KuznetsovAdam Gaudette40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicOlli Maatta60122
2Timothy LiljegrenOwen Power40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Yanni Gourde60122Travis HamonicOwen Power60122
2Evgeny Kuznetsov40122Timothy LiljegrenOlli Maatta40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Macklin CelebriniTyler Bertuzzi55122
2Yanni GourdeSonny Milano45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean55122
2Travis HamonicSimon Nemec45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BertuzziMacklin CelebriniEvander KaneTimothy LiljegrenOwen Power
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonYanni GourdeSonny MilanoOwen PowerOlli Maatta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Yanni Gourde, Tanner Pearson, Adam GaudetteTyler Bertuzzi, Tanner PearsonAdam Gaudette
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Olli Maatta, Simon Nemec, Timothy LiljegrenTimothy LiljegrenOwen Power, Timothy Liljegren
Tirs de pénalité
Kailer Yamamoto, Adam Gaudette, Evgeny Kuznetsov, Yanni Gourde, Tanner Pearson
Gardien
#1 : Yaroslav Askarov, #2 : Dan Vladar


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
1Avalanche1010000034-11010000034-10000000000000.0003690012003414137032717196116.67%3233.33%01123227949.28%1255258848.49%548108350.60%2417237115
2Blackhawks21100000330000000000002110000033020.5003690020106021192005417313814214.29%12283.33%01123227949.28%1255258848.49%548108350.60%412753152512
3BlueJackets21100000550110000003121010000024-220.50058130005004582017073133525600.00%14192.86%01123227949.28%1255258848.49%548108350.60%412854162310
4Blues2110000057-21010000025-31100000032120.500591400230049161419081212443700.00%12466.67%11123227949.28%1255258848.49%548108350.60%402654142411
5Bruins1010000023-1000000000001010000023-100.0002460001102397702784175120.00%20100.00%01123227949.28%1255258848.49%548108350.60%2113268125
6Canadiens11000000431110000004310000000000021.0004711001210291110802791215500.00%6183.33%01123227949.28%1255258848.49%548108350.60%2214257126
7Canucks32100000810-2110000005322110000037-440.667816240014307611353001105447621218.33%19384.21%01123227949.28%1255258848.49%548108350.60%583683243717
8Capitals11000000633000000000001100000063321.000610160021304115818044812226233.33%5180.00%01123227949.28%1255258848.49%548108350.60%2417237115
9Devils2020000068-21010000034-11010000034-100.00061218001230441611170782542389222.22%17476.47%01123227949.28%1255258848.49%548108350.60%382356162510
10Ducks412010001518-320101000710-32110000088040.50015254000347113838574121334031871317.69%13376.92%01123227949.28%1255258848.49%548108350.60%8859102305325
11Flyers2020000059-41010000046-21010000013-200.0005101510041065232220067232953800.00%12191.67%01123227949.28%1255258848.49%548108350.60%402555142311
12GoldenKnights42200000812-42110000057-22110000035-240.50081220003320118493534013041659926311.54%23578.26%01123227949.28%1255258848.49%548108350.60%905999305024
13Hurricanes2020000027-51010000014-31010000013-200.00024600002038151580772022465120.00%100100.00%01123227949.28%1255258848.49%548108350.60%342161152310
14Islanders2010000169-31010000046-21000000123-110.25069150021305520141766114344011218.18%10550.00%01123227949.28%1255258848.49%548108350.60%432853162714
15Jets30300000816-81010000034-120200000512-700.000814220051207819233601091956548562.50%24675.00%01123227949.28%1255258848.49%548108350.60%523289253715
16Kings402010011420-620200000410-6200010011010030.375142539004452125334542815653719020210.00%24579.17%01123227949.28%1255258848.49%548108350.60%8052113325223
17Lightning21100000990110000007611010000023-120.50091625003330682917220632316516583.33%7357.14%01123227949.28%1255258848.49%548108350.60%453048152512
18Mammoth413000001116-52110000067-12020000059-420.250111930103530148415453012338539419421.05%23865.22%11123227949.28%1255258848.49%548108350.60%966591305125
19MapleLeafs11000000541110000005410000000000021.0005813004010421610160521710199222.22%4175.00%01123227949.28%1255258848.49%548108350.60%2014277115
20Oilers40300100714-72010010058-32020000026-410.125714210014201153035491136374511118422.22%19668.42%01123227949.28%1255258848.49%548108350.60%8053115304822
21Panthers2010100078-1100010005411010000024-220.500712190031215515181939027264610220.00%13469.23%01123227949.28%1255258848.49%548108350.60%382460152411
22Penguins1010000034-1000000000001010000034-100.00034700012036914130371112252150.00%60100.00%01123227949.28%1255258848.49%548108350.60%2114267115
23Predators11000000431110000004310000000000021.00046100002202891360281191910220.00%2150.00%01123227949.28%1255258848.49%548108350.60%2316237136
24Rangers1010000034-11010000034-10000000000000.000347002010271287041111218300.00%6183.33%01123227949.28%1255258848.49%548108350.60%2114258126
25RedWings2110000078-1110000007341010000005-520.50071320001330561615250702224466116.67%12191.67%01123227949.28%1255258848.49%548108350.60%382456162411
26Sabres1010000013-21010000013-20000000000000.00012300001032713120341514194125.00%7271.43%01123227949.28%1255258848.49%548108350.60%2215257126
27Senators20100100711-41000010034-11010000047-310.250713200011505817162508935263614214.29%12466.67%11123227949.28%1255258848.49%548108350.60%443050152411
28Sharks40400000814-62020000047-32020000047-300.00081422002420117473733012344389419210.53%18572.22%01123227949.28%1255258848.49%548108350.60%885999305225
29Stars3300000014104220000009631100000054161.0001423370076109828373309828246817317.65%12375.00%01123227949.28%1255258848.49%548108350.60%674675213617
30Wild311001001113-22110000078-11000010045-130.5001121320043408132232519332406912650.00%14471.43%01123227949.28%1255258848.49%548108350.60%614179234018
Total67194003302197258-6134121802200114134-20337220110283124-41490.366197346543205870664197962665867921233672388114633105818.71%3618676.18%31123227949.28%1255258848.49%548108350.60%14169371784521843397
_Since Last GM Reset67194003302197258-6134121802200114134-20337220110283124-41490.366197346543205870664197962665867921233672388114633105818.71%3618676.18%31123227949.28%1255258848.49%548108350.60%14169371784521843397
_Vs Conference42132402201119160-4121712011006482-1821612011015578-23330.39311921032910384534312653884404281214064425519472013617.91%2185773.85%21123227949.28%1255258848.49%548108350.60%8955941104326535252
_Vs Division276170210171104-331338011003652-161439010013552-17180.33371125196101728243837249298282119113073506371271713.39%1393574.82%11123227949.28%1255258848.49%548108350.60%582386705209345165

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6749L119734654319792336723881146320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6719403302197258
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3412182200114134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
33722110283124
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3105818.71%3618676.18%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
626658679215870664
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
1123227949.28%1255258848.49%548108350.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14169371784521843397


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
13Oilers3Flames2BLXSommaire du match
431Flames4Ducks2AWSommaire du match
646Flames7Kings6AWXSommaire du match
757Flames2Sharks4ALSommaire du match
970Ducks2Flames3BWXSommaire du match
1185Stars2Flames4BWSommaire du match
1395Kings5Flames2BLSommaire du match
15120Flames0Canucks6ALSommaire du match
17126Senators4Flames3BLXSommaire du match
19142BlueJackets1Flames3BWSommaire du match
22173Flames4Jets5ALSommaire du match
23175Rangers4Flames3BLSommaire du match
26196Devils4Flames3BLSommaire du match
28209GoldenKnights3Flames4BWSommaire du match
31229Flames4Mammoth6ALSommaire du match
32243Flames1GoldenKnights4ALSommaire du match
34255MapleLeafs4Flames5BWSommaire du match
36267Wild5Flames3BLSommaire du match
39291Flames3Devils4ALSommaire du match
40299Flames2Islanders3ALXXSommaire du match
42315Flames4Senators7ALSommaire du match
44328Ducks8Flames4BLSommaire du match
46344Islanders6Flames4BLSommaire du match
48358Mammoth4Flames2BLSommaire du match
50376Flames3Penguins4ALSommaire du match
52389Flames2Panthers4ALSommaire du match
54407Flames2Lightning3ALSommaire du match
57432Flames3Canucks1AWSommaire du match
59438Sharks3Flames2BLSommaire du match
63468Flames1Hurricanes3ALSommaire du match
65491Flames6Capitals3AWSommaire du match
71508Hurricanes4Flames1BLSommaire du match
74525Flames1Oilers2ALSommaire du match
75536RedWings3Flames7BWSommaire du match
77548Sabres3Flames1BLSommaire du match
80570Mammoth3Flames4BWSommaire du match
82588Panthers4Flames5BWXSommaire du match
84603Avalanche4Flames3BLSommaire du match
86616Flames1Blackhawks2ALSommaire du match
88633Flames1Flyers3ALSommaire du match
90644Flames2Bruins3ALSommaire du match
91655Flames0RedWings5ALSommaire du match
93665Sharks4Flames2BLSommaire du match
95677Canucks3Flames5BWSommaire du match
97704Flames1Jets7ALSommaire du match
99718Blues5Flames2BLSommaire du match
101735Lightning6Flames7BWSommaire du match
103748Flames5Stars4AWSommaire du match
105765Flames3Blues2AWSommaire du match
106771Flames4Wild5ALXSommaire du match
109795Flyers6Flames4BLSommaire du match
112814Flames1Oilers4ALSommaire du match
113823Predators3Flames4BWSommaire du match
115834Wild3Flames4BWSommaire du match
117848Flames2BlueJackets4ALSommaire du match
119860Flames2Blackhawks1AWSommaire du match
121879Kings5Flames2BLSommaire du match
123891Stars4Flames5BWSommaire du match
126911Flames1Mammoth3ALSommaire du match
128939Flames2GoldenKnights1AWSommaire du match
129945Jets4Flames3BLSommaire du match
131956GoldenKnights4Flames1BLSommaire du match
133972Oilers5Flames3BLSommaire du match
135989Canadiens3Flames4BWSommaire du match
1391016Flames2Sharks3ALSommaire du match
1401026Flames3Kings4ALXXSommaire du match
1431046Flames4Ducks6ALSommaire du match
1471067Blackhawks-Flames-
1491082Avalanche-Flames-
1511097Flames-Sabres-
1531113Flames-MapleLeafs-
1541117Capitals-Flames-
1561132Penguins-Flames-
1581147Flames-Canadiens-
1601157Flames-Rangers-
1621171Predators-Flames-
1641184Bruins-Flames-
1681205Flames-Avalanche-
1691226Flames-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711234Flames-Predators-
1741246Canucks-Flames-
1771270Flames-Canucks-


Charte de profondeur
Ailier gaucheCentreAilier droit
Tyler Bertuzzi
Tyler Bertuzzi
AGE:30
SK:83
EN:82
DU:99
PH:68
PA:63
SC:73
DF:62
Evan Rodrigues
Evan Rodrigues
AGE:32
SK:83
EN:80
DU:99
PH:61
PA:57
SC:65
DF:63
Tanner Pearson
Tanner Pearson
AGE:33
SK:79
EN:74
DU:96
PH:59
PA:56
SC:63
DF:68
Evgeny Kuznetsov
Evgeny Kuznetsov
AGE:33
SK:79
EN:60
DU:50
PH:61
PA:56
SC:60
DF:56
Jared Davidson
Jared Davidson
AGE:23
SK:78
EN:78
DU:68
PH:52
PA:45
SC:59
DF:70
Garrett Pilon
Garrett Pilon
AGE:27
SK:78
EN:77
DU:67
PH:54
PA:65
SC:43
DF:59
Ryder Rolston
Ryder Rolston
AGE:24
SK:75
EN:72
DU:62
PH:46
PA:43
SC:48
DF:69
Luke Toporowski
Luke Toporowski
AGE:24
SK:76
EN:62
DU:52
PH:47
PA:43
SC:50
DF:68
Macklin Celebrini (R)
Macklin Celebrini
AGE:19
SK:92
EN:87
DU:91
PH:82
PA:85
SC:79
DF:71
Yanni Gourde
Yanni Gourde
AGE:34
SK:87
EN:82
DU:82
PH:67
PA:75
SC:60
DF:75
Juuso Parssinen
Juuso Parssinen
AGE:24
SK:77
EN:72
DU:76
PH:59
PA:57
SC:60
DF:62
Laurent Dauphin
Laurent Dauphin
AGE:30
SK:82
EN:72
DU:62
PH:61
PA:59
SC:64
DF:70
Benoit-Olivier Groulx
Benoit-Olivier Groulx
AGE:25
SK:78
EN:60
DU:50
PH:57
PA:58
SC:56
DF:67
Philippe Daoust
Philippe Daoust
AGE:24
SK:75
EN:61
DU:51
PH:42
PA:45
SC:39
DF:56
Gavin Hain
Gavin Hain
AGE:22
SK:75
EN:60
DU:50
PH:33
PA:27
SC:40
DF:55
Evander Kane
Evander Kane
AGE:34
SK:82
EN:60
DU:50
PH:68
PA:61
SC:76
DF:63
Adam Gaudette
Adam Gaudette
AGE:29
SK:80
EN:72
DU:98
PH:58
PA:47
SC:69
DF:68
Sonny Milano
Sonny Milano
AGE:29
SK:83
EN:60
DU:50
PH:64
PA:53
SC:75
DF:71
Kailer Yamamoto
Kailer Yamamoto
AGE:27
SK:81
EN:75
DU:51
PH:55
PA:47
SC:64
DF:64
Olle Lycksell
Olle Lycksell
AGE:26
SK:82
EN:74
DU:56
PH:56
PA:62
SC:50
DF:63
Avery Hayes
Avery Hayes
AGE:23
SK:81
EN:69
DU:59
PH:54
PA:46
SC:61
DF:70
Jaxsen Wiebe
Jaxsen Wiebe
AGE:23
SK:75
EN:60
DU:50
PH:28
PA:20
SC:37
DF:58

Défense #1Défense #2Gardien
Owen Power
Owen Power
AGE:23
SK:78
EN:85
DU:97
PH:68
PA:74
SC:61
DF:76
Olli Maatta
Olli Maatta
AGE:31
SK:76
EN:82
DU:96
PH:55
PA:57
SC:53
DF:80
Timothy Liljegren
Timothy Liljegren
AGE:26
SK:78
EN:82
DU:89
PH:57
PA:53
SC:61
DF:73
Travis Hamonic
Travis Hamonic
AGE:35
SK:76
EN:78
DU:83
PH:50
PA:48
SC:52
DF:71
Matthew Dumba
Matthew Dumba
AGE:31
SK:77
EN:75
DU:86
PH:52
PA:52
SC:52
DF:68
Jake Bean
Jake Bean
AGE:27
SK:75
EN:75
DU:87
PH:50
PA:46
SC:54
DF:74
Logan Mailloux
Logan Mailloux
AGE:22
SK:75
EN:67
DU:62
PH:50
PA:47
SC:53
DF:65
William Trudeau
William Trudeau
AGE:23
SK:75
EN:72
DU:67
PH:38
PA:37
SC:39
DF:70
Caleb Jones
Caleb Jones
AGE:28
SK:75
EN:55
DU:50
PH:46
PA:55
SC:36
DF:70
Simon Nemec
Simon Nemec
AGE:21
SK:77
EN:74
DU:62
PH:53
PA:46
SC:59
DF:60
David Reinbacher
David Reinbacher
AGE:21
SK:75
EN:55
DU:50
PH:50
PA:45
SC:55
DF:65
Tyson Hinds
Tyson Hinds
AGE:22
SK:75
EN:75
DU:70
PH:37
PA:36
SC:37
DF:51
Ronan Seeley
Ronan Seeley
AGE:23
SK:75
EN:73
DU:68
PH:32
PA:28
SC:35
DF:54
Mason Millman
Mason Millman
AGE:24
SK:75
EN:56
DU:51
PH:38
PA:34
SC:42
DF:70
Harrison Brunicke (R)
Harrison Brunicke
AGE:19
SK:81
EN:55
DU:50
PH:33
PA:36
SC:30
DF:56
Tyrel Bauer
Tyrel Bauer
AGE:23
SK:75
EN:63
DU:58
PH:26
PA:23
SC:30
DF:50
Lleyton Moore
Lleyton Moore
AGE:23
SK:75
EN:55
DU:50
PH:37
PA:35
SC:38
DF:60
Xavier Bouchard
Xavier Bouchard
AGE:25
SK:75
EN:55
DU:50
PH:31
PA:31
SC:30
DF:50
Dan Vladar
Dan Vladar
AGE:28
SK:84
AG:78
RB:81
SC:77
HS:79
RT:76
DF:77
Yaroslav Askarov
Yaroslav Askarov
AGE:23
SK:80
AG:79
RB:76
SC:75
HS:74
RT:73
DF:79
Kaapo Kahkonen
Kaapo Kahkonen
AGE:29
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Louis Domingue
Louis Domingue
AGE:33
SK:76
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jack Campbell
Jack Campbell
AGE:33
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Cal Petersen
Cal Petersen
AGE:31
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Alexander RykovFlames2037125
Alexei MedvedevFlames203966
Alexis CournoyerFlames2039124
Alfons FreijFlames203832
Arseni RadkovFlames203992
Blake VanekFlames203990
Brent SolomonFlames2039149
Bryce MontgomeryFlames2035203
Caden PriceFlames203788
Cayden LindstromFlames20383
Christopher PelosiFlames2037114
Danny NelsonFlames203779
Demetrios KoumontzisFlames2032132
Dmitri KostenkoFlames203590
Emil PieniniemiFlames2037115
Emile GuiteFlames2039190
Eriks MateikoFlames203897
Gregor BiberFlames2038122
Gustav HillstromFlames2039159
Harry NansiFlames2039180
Heikki RuohonenFlames2038125
Hunter LaingFlames2038132
Jack GorniakFlames2032155
Jack SparkesFlames2036194
Jackson CrowderFlames2039182
Jacob HolmesFlames2035172
Jacob RagnarssonFlames203281
Joe ConnorFlames2038211
John WhippleFlames2038161
Jordan HollettFlames2031201
Julius SumpfFlames203968
Kirill ZarubinFlames2038116
Koehn ZiemmerFlames203763
Konnor SmithFlames2037122
Liam HawelFlames2031145
Louka CloutierFlames2038152
Mason WestFlames203932
Maxim SchaferFlames2039102
Nathan BehmFlames203961
Nathan VilleneuveFlames203880
Noah LabergeFlames2039113
Oliver JosephsonFlames2038124
Oskar VuolletFlames2038153
Roman BausovFlames2039128
Rudy GuimondFlames2037119
Sam DickinsonFlames203812
Sawyer MynioFlames2037110
Spencer GillFlames203866
Tanner LudtkeFlames203772
Teddy MutrynFlames203997
Ty HenryFlames2038180
Tyler ThorpeFlames203854
Victor StjernborgFlames2035136
Vojtech HradecFlames2038183
Yaroslav KorostelyovFlames2038209
Zachary LauzonFlames203181
Zachary SharpFlames2039114

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



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
1Joe Pavelski5743474407872072826441678280412.38%2401246321.718614222860853841562454.60%131.261051
2Adrian Aucoin153725945271122112842000204128818.99%9232551916.602861892085101553381950.19%30.561645
3Mark Giordano47316541558037560805962163510.09%7501229325.991081772851052011111228140.00%10.9400
4Derek Stepan4671923815731162665201325179610.69%150999221.405816222049111223271651.04%61.15642
5Anze Kopitar5102103365461042310111495191010.99%2251194623.425012817835431432341653.99%100.911254

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
1Corey Crawford532332152380.9022.8531429912214921516803670.791182
2Robin Lehner323134143340.8963.3818411241410361000701230.611126
3Tim Thomas20511468210.9132.6812154634542625325201020.80090
4Brian Elliott1186239150.9122.8669834333337750750.73880
5Jonathan Quick82542080.9152.6249042721425060420.64328

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
2017824126022652722254741201400052134118164121120221313810731882724256970108996792851010629358362588882122019542412912.03%1912885.34%51090216050.46%943192748.94%685135750.48%1785103318798191486742
201882313600573218250-3241151900331113124-1141161700242105126-2167218351569010637474275909548918892616866102518542152913.49%2023483.17%51151212354.22%1034204750.51%664133749.66%1807105617147351459731
201982442204246274212624122120202313511124412210022231391013898274444718320661138727760897978877253187387619272113516.59%1582385.44%21092215150.77%1024197651.82%602122349.22%1815106216967351477739
20208241250522724823117412013021141251205412112031131231111294248389637220531028626010747939894254084880818222204420.00%1963482.65%31060204351.88%1056205151.49%679125054.32%173997617187531518764
2021823629043553022534941201201143156124324116170321214612917833025208221401228487269309078638842434769100417204338619.86%3996882.96%11689313253.93%1555294452.82%718134453.42%2025140819326141029510
202282462105235321247744123120301215712136412390222316412638104321565886210130104792866097097887626017611121184943510123.22%4355986.44%41789330454.15%1684308254.64%763138255.21%1960134019856291030508
20238253150227332020811241268001421609961412770213116010951112320544864120115105912883010159379042401736101018154379822.43%4025985.32%31656328550.41%1516298250.84%673134250.15%2023140919366181019511
202482541603153376227149412950313021811410441251100023158113451283766641040170132116120310801029990105924247831020186443910924.83%4237881.56%21806340053.12%1510294651.26%731139952.25%2013139319316091027518
202582502101253312215974122901252153114394128120000115910158117312548860150110107892852088294310022237658891171647310522.20%3446281.98%31680323451.95%1450275552.63%672128552.30%2081145318556051029530
202682313303285272266641151500263131127441161803022141139291272472744030988578256208268678322499703964167146110823.43%3977980.10%51620304653.18%1467294849.76%672129851.77%2031140819306171038524
202782422802244304243614123130111214111229411915011321631313210230454584915010810486263708838888422305652831170245111625.72%3719574.39%11654303454.52%1512284553.15%724134653.79%2105147218286071033529
20308242270242527925227412012023131401271341221500112139125141012794967751001038983263808538898752302704890168645410322.69%3827879.58%41610311151.75%1427279251.11%705133352.89%2066142618516141052537
2031823929015802902672341181401530148152-4412115000501421152710129050379322010488892513083681884426087211166181042810725.00%4348979.49%51620301453.75%1532309449.52%690135650.88%1989136019446201040524
20328248200323629322766412512010121431083541238022241501193111629353382627010710575300101024960987255471596517874468318.61%3756084.00%21650328350.26%1533306650.00%669131750.80%1981135719446271045523
203382175502224211335-1244192601113113167-54418290111198168-7048211372583120667863221806867337802982792106018643845915.36%43710675.74%11251273545.74%1492320546.55%617133946.08%1791118921236381042492
20348237300513631126348412015021211601253541171503015151138139731155486513012510474273008819069152686757101319303927719.64%3988179.65%61549308650.19%1502310948.31%644135347.60%1907129920316251036505
203582313405048257271-14412014020141421261641112003034115145-3088257458715020868973255508748358132701831101419673997518.80%4488680.80%51498295850.64%1512320447.19%629129148.72%1864126520826391040498
203682214603525229315-8641132201401123160-374182402124106155-4962229404633020747377221907147467372859824110618753856817.66%4589978.38%31314270548.58%1420321344.20%635133847.46%1823121421016341050509
203782166401100221403-1824193100100112196-844173301000109207-9835221400621327578671227677374475453132887113720513788522.49%49911177.76%31300272247.76%1478315146.91%628139145.15%1734113221586301035485
203882136106110210386-17641102704000110183-734133402110100203-103412103765862077695782168748722684203120906115920423235617.34%48411975.41%51178258945.50%1550325347.65%647136947.26%1659106522276501045483
203967194003302197258-6134121802200114134-20337220110283124-4149197346543205870664197962665867921233672388114633105818.71%3618676.18%31123227949.28%1255258848.49%548108350.60%14169371784521843397
Total Saison régulière1707752678062498185571755541638543913230292944382928276216685336135503320374727892792-3182257179909156262653210196819061503548852147181641821315892544561639121161383697915163120.61%7794153480.32%71303805939451.15%294525917849.77%139952773350.46%396222626440658135472338311572
Séries éliminatoires
201712750000038362761000002921851400000915-61438671050008111542301441301094011447929335720.00%25196.00%115731849.37%15330949.51%10020249.50%2791552155940245124
201924168000007564111495000003840-21073000003724133275122197010162826855026030426475626629663853611.32%421076.19%033564551.94%32260952.87%20735158.97%555332495214437218
202017980000049472105500000282807430000021192184977126020131716572017220618351413026142845817.78%481372.92%023945952.07%20341149.39%13324753.85%379225348152305151
202162400000221663210000018993030000047-3422365800011742100686765225567812625936.00%34391.18%013724955.02%12026944.61%448452.38%13895164447334
20221899000007171010550000038380844000003333018711241950002618276450211201218640177226411921920.65%931979.57%039772155.06%42075255.85%17932255.59%433299440140230112
2023221660000092603211920000051272411740000041338329216125302044252276302432432496831833414871203025.00%1131884.07%244387650.57%42181751.53%19536753.13%545376536167273137
2024201550000097623511830000051351697200000462719309717226912046203075802532452425641882334131353525.93%871780.46%042980453.36%38370354.48%20337653.99%496348470154252126
202518810000005359-69540000031256936000002234-1216539314612018201458702011631815401681904271001919.00%831483.13%134567551.11%33864152.73%15829653.38%449307452141236118
2026514000001320-720200000410-631200000910-121323360004721520623946178517711925312.00%34876.47%09118848.40%9320345.81%367846.15%11777130386430
202712660000042420624000002026-66420000022166124276118000131414407013312913537488131253711318.31%591476.27%023750447.02%21344048.41%10320849.52%3032032899515980
2030734000001927-831200000712-5422000001215-3619335210067420907159702216180175431227.91%34876.47%012627246.32%11424845.97%5710952.29%169111173579447
2031624000001624-831200000914-531200000710-341629450104741580535249194617417117211.76%34779.41%09718851.60%12322754.19%459646.88%13085155467939
2032945000003030052300000161604220000014140830508000013982450916589328988118837718.92%38781.58%012828744.60%14836440.66%7314650.00%2001382296811051
2034514000001419-52110000066030300000813-52142438000455150054524218954468428310.71%23386.96%06816341.72%9921546.05%377251.39%11276126386232
20351477000004547-26420000019181835000002629-3144583128000141884370125151146485143238350551221.82%971881.44%023448248.55%24556843.13%11223547.66%30920938010617482
Total Séries éliminatoires19510689000006766245210260420000036532540934647000003112991221267611701846310024021319965710214121062088629218682431456388118521.00%84416081.04%43463683150.70%3395677650.10%1682318952.74%462230446549240827991388

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
1Joe Pavelski1259377170438715534357416.20%42264121.13282553139112410454.87%61.2900
2Derek Stepan895076126205110423239312.72%30187321.0513344711300039351.79%11.3400
3Adrian Aucoin2163867105-20792932524238.98%144395318.30711183212387349.46%10.5300
4Paul Stastny66254772-7233715922011.36%13117217.771427419100004154.50%01.2300
5Anze Kopitar7122476911621741912488.87%31162022.83513183800024152.96%00.8500

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
1Corey Crawford93532980.8953.19549510729227800720.0000
2Tim Thomas41251330.9132.622496031091257505400.0000
3Dan Ellis137230.9102.7080117036401160000.0000
4Brian Elliott156540.9053.2291220495180000.0000
5Robin Lehner135620.8953.6479100484590000.0000