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Centre de jeu
Stars
23-28-7, 53pts
4
FINAL
5 Flames
20-35-4, 44pts
Team Stats
L3StreakL1
15-9-5Home Record13-15-2
8-19-2Away Record7-20-2
3-7-0Last 10 Games4-5-1
2.97Goals Per Game2.97
3.43Goals Against Per Game3.86
15.85%Power Play Percentage19.26%
80.69%Penalty Kill Percentage75.16%
Flames
20-35-4, 44pts
1
FINAL
3 Mammoth
16-40-5, 37pts
Team Stats
L1StreakW1
13-15-2Home Record11-16-3
7-20-2Away Record5-24-2
4-5-1Last 10 Games3-7-0
2.97Goals Per Game2.23
3.86Goals Against Per Game3.92
19.26%Power Play Percentage20.00%
75.16%Penalty Kill Percentage78.92%
Flames
20-35-4, 44pts
Jour 128
GoldenKnights
28-23-6, 62pts
Stats Équipe
L1SéquenceOTW1
13-15-2Fiche domicile16-10-4
7-20-2Fiche visiteur12-13-2
4-5-110 derniers matchs8-1-1
2.97Buts par match 3.19
3.86Buts contre par match 3.19
19.26%Pourcentage en avantage numérique19.06%
75.16%Pourcentage en désavantage numérique80.47%
Jets
37-20-3, 77pts
Jour 129
Flames
20-35-4, 44pts
Stats Équipe
W2SéquenceL1
19-9-1Fiche domicile13-15-2
18-11-2Fiche visiteur7-20-2
7-3-010 derniers matchs4-5-1
3.30Buts par match 2.97
2.88Buts contre par match 3.86
17.33%Pourcentage en avantage numérique19.26%
78.24%Pourcentage en désavantage numérique75.16%
GoldenKnights
28-23-6, 62pts
Jour 131
Flames
20-35-4, 44pts
Stats Équipe
OTW1SéquenceL1
16-10-4Fiche domicile13-15-2
12-13-2Fiche visiteur7-20-2
8-1-110 derniers matchs4-5-1
3.19Buts par match 2.97
3.19Buts contre par match 3.86
19.06%Pourcentage en avantage numérique19.26%
80.47%Pourcentage en désavantage numérique75.16%
Meneurs d'équipe
Tyler BertuzziButs
Tyler Bertuzzi
22
Macklin CelebriniPasses
Macklin Celebrini
43
Macklin CelebriniPoints
Macklin Celebrini
59
Luke KuninPlus/Moins
Luke Kunin
5
Dan VladarVictoires
Dan Vladar
14
Dan VladarPourcentage d’arrêts
Dan Vladar
0.899

Stats Équipe
Buts pour
175
2.97 GFG
Tirs pour
1750
29.66 Avg
Pourcentage en avantage numérique
19.3%
52 GF
Début de zone offensive
38.4%
Buts contre
228
3.86 GAA
Tirs contre
2060
34.92 Avg
Pourcentage en désavantage numérique
75.2%
79 GA
Début de la zone défensive
43.2%
Blessure/Suspension
Pas de blessure ou de suspension.
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
Assistance23,113
Billets de saison10,000
Information formation
Équipe Pro23
Équipe Mineure23
Limite contact 46 / 50
Espoirs56
Plafond salarial
Cap Salarial de la Saison estimé71,876,274$
Plafond salarial disponible18,123,726$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23
Finance
Revenu annuel à ce jour50,277,065$
Dépenses annuelles à ce jour52,340,687$
Revenus de la saison estimés18,434,924$
Dépenses de la saison estimées21,535,592$
Compte bancaire actuel231,446,902$
Compte bancaire projeté227,645,746$
Historique d'équipe
Saison actuelle20-35-4 (44PTS)
Historique893-673-146 (0.522%)
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)X100.005246829256879182838579715760749917750193925,000$
2Yanni Gourde (A)X100.0085537287428282678575607573908625177003436,100,000$
3Tyler BertuzziX100.0057537883658299684063736240828245246803026,525,000$
4Evan RodriguesX100.0077438183508099618057656365868335206703213,500,000$
5Evander KaneX100.0099636882746050684061766352907525206703431$
6Luke KuninX100.0098567578607994558248627640787955226602823,750,000$
7Tanner PearsonX100.0069518879677496594056636858888130206603312,950,000$
8Adam GaudetteX100.0060468780577298588547696890807650206502923,275,000$
9Laurent DauphinX100.005945738254726261405964704082774514640302950,000$
10Sonny MilanoX100.0050478683586050644053757154807050106302922,500,000$
11Evgeny KuznetsovX100.0050528079696050618056605683887430206103318,500,000$
12Kailer YamamotoX100.0058408781447551554047646490767660206002722,600,000$
13Olli MaattaX100.0048528676698296554057538040848340216903132,500,000$
14Timothy LiljegrenX100.0062507978648289574053617340747865206802623,100,000$
15Travis Hamonic (A)X100.0069518476597883504048527140928520206703532,500,000$
16Jake BeanX100.0048478875597587504046547440767660206402721,418,000$
17Logan MaillouxX100.007062677573676250404753657366678524620222925,000$
18Simon NemecX100.004247807758746253404659604064699027590211925,000$
Rayé
1Juuso ParssinenX100.0082588277737276598257606240707175176402421,400,000$
2Matthew DumbaX100.0066527177567586524052526840848040166503115,000,000$
Équipe Mineure
1Garrett PilonX100.0058467278577767547065435940767760176002711,500,000$
2Jared DavidsonX100.005149767853786852404559709068738017600232925,000$
3Nate Danielson (R)X100.006349818758807048705144649764729017600213925,000$
4Olle LycksellX100.005138888240745656406250634074746517590263875,000$
5Avery HayesX100.004340718145695954404661704068698017580232575,000$
6Ryder RolstonX100.005749867560726246404348694070717517570242575,000$
7Luke ToporowskiX100.005551777649625247404350684070667517550242575,000$
8Philippe DaoustX100.004441857561615142704539564070667517520242575,000$
9Gavin HainX100.005655787557605033702740554066638516490222575,000$
10Jaxsen WiebeX100.006463837566605028402037584068648017480232575,000$
11William TrudeauX100.005152747566726738403739704068708016600231925,000$
12David ReinbacherX100.006047707572555050404555654064609017590212925,000$
13Mason MillmanX100.006149847550565138403442704070637517570242575,000$
14Ronan SeeleyX100.007461897559736832402835544068718017570232575,000$
15Tyson HindsX100.006056787567757037403637514066718516570222925,000$
16Harrison Brunicke (R)X100.007468548169555033403630564060589917550193925,000$
17Caleb JonesX100.0072488175605550464055367040786755106002822,300,000$
18Tyrel BauerX100.005570547577635826402330504068668016530232575,000$
19Xavier BouchardX100.006259757565555031403130504072647015530251900,000$
20Lleyton MooreX100.004344897543555037403538604068628020530232575,000$
MOYENNE D’ÉQUIPE100.00615178786070685050485265507472651861
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 Vladar100.008467709778817779767786788055207802855,950,000$
2Yaroslav Askarov98.00805060867976757473799968728080730231925,000$
Rayé
1Kaapo Kahkonen100.008164669450505050505040806550226002935,500,000$
Équipe Mineure
1Louis Domingue100.007654609350505050505040886930325903321,000,000$
2Jack Campbell100.008150609350505050505040886930275903311,475,000$
3Cal Petersen100.007758608650505050505099846740145803113,000,000$
MOYENNE D’ÉQUIPE99.6780576392606059595859678170483365
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 CelebriniFlamesC54164359-24021167212591417.55%12107519.9161824732001013814251.30%149700001.1001000452
2Tyler BertuzziFlamesLW59222244-2181033811834412012.02%5108818.464610472200002233336.14%8300000.8100101126
3Evander KaneFlamesRW5921163701101018758101268220.79%492115.62641031158000060434.43%6100000.8000100424
4Timothy LiljegrenFlamesD5982836-2620130729943618.08%120133122.5751621592110110217300.00%000100.5400000110
5Yanni GourdeFlamesC4982836-15620110165129321076.20%1195919.59312154218301131522052.80%121400000.7501000120
6Olli MaattaFlamesD59121931-153610447792244113.04%119131022.22426401120000256100.00%000100.4700001011
7Evan RodriguesFlamesLW59151429-1822042801243710812.10%798816.755611362050000532053.09%8100000.5900000021
8Luke KuninFlamesC5514152958725118118102207013.73%1376914.0034710800002760154.57%99500000.7500104203
9Sonny MilanoFlamesRW53111526-42096312426838.87%964412.162247550001201030.00%4000000.8100000100
10Adam GaudetteFlamesRW5961319-1210034779728676.19%693215.812572111710131470148.04%17900000.4100000100
11Laurent DauphinFlamesC5981119-412041579627568.33%95619.52000120113822034.23%59300000.6800000011
12Tanner PearsonFlamesLW5971219-318032658320718.43%1588815.06314125610152780129.13%10300000.4300000001
13Matthew DumbaFlamesD45512170815117284172612.20%6393320.74224241370000150000.00%000000.3600001200
14Jake BeanFlamesD5241317-620044455612477.14%5297818.8236924134000033000.00%000000.3500000000
15Travis HamonicFlamesD5351116-8480934042123111.90%76103319.50235181390004221000.00%000000.3100000102
16Caleb JonesDarkness (Cal)D30211131400629174911.76%3144114.71112538000135100.00%000000.5900000010
17Evgeny KuznetsovFlamesLW53538-79563131102016.13%04278.0601102000001070.37%2700000.3700001000
18Kailer YamamotoFlamesRW40066-180715349280.00%43067.6600000000000037.50%1600000.3900000000
19Juuso ParssinenFlamesC28235-41203949238218.70%729210.44000000002850055.94%34500000.3400000001
20Logan MaillouxFlamesD24235-959156411216129.52%3141017.10123953011015000.00%000000.2400012010
21Simon NemecFlamesD1113418041021050.00%1719117.3900001000028000.00%000000.4200000000
22William TrudeauDarkness (Cal)D7000-475730020.00%78311.980000000001000.00%000000.0000001000
Statistiques d’équipe totales ou en moyenne1026174301475-10973585124413211709455120310.18%6181657116.1552911434592113347291969201249.58%523400200.57023111181822
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 VladarFlames43142330.8993.4923884013913770220.00003917220
2Kaapo KahkonenFlames163710.8724.7472200574470000.00021242000
3Yaroslav AskarovFlames52300.8923.4030000171570000.000057001
4Jack CampbellDarkness (Cal)31200.8445.111410012770000.000030000
Statistiques d’équipe totales ou en moyenne67203540.8913.8035534022520580220.00025966221


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$956,742$No3,275,000$
UFA
Lien / Lien NHL
Dan VladarFlamesG281997-08-20No185 Lbs6 ft5YesNoYes5Pro Only5,950,000$5,950,000$1,738,202$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$1,022,472$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$2,483,146$No
UFA
Lien / Lien NHL
Jake BeanFlamesD271998-06-09No191 Lbs6 ft1NoNoNo2Pro & Farm1,418,000$1,418,000$414,247$No1,418,000$
UFA
Lien / Lien NHL
Juuso ParssinenFlamesC242001-02-01No212 Lbs6 ft3NoNoNo2Pro & Farm1,400,000$1,400,000$408,989$No1,400,000$
RFA
Lien / Lien NHL
Kaapo KahkonenFlamesG291996-08-16No214 Lbs6 ft2NoNoYes3Pro Only5,500,000$5,500,000$1,606,742$No5,500,000$5,500,000$
UFA
Lien / Lien NHL
Kailer YamamotoFlamesRW271998-09-29No178 Lbs5 ft9NoNoYes2Pro & Farm2,600,000$2,600,000$759,551$No2,600,000$
UFA
Lien / Lien NHL
Laurent DauphinFlamesC301995-03-27No181 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$277,528$No950,000$
UFA
Lien / Lien NHL
Logan MaillouxFlamesD222003-04-15No212 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$270,225$No925,000$
RFA
Lien / Lien NHL
Luke KuninFlamesC281997-12-04No197 Lbs6 ft0NoNoYes2Pro & Farm3,750,000$3,750,000$1,095,506$No3,750,000$
UFA
Lien / Lien NHL
Macklin CelebriniFlamesC192006-06-13Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$270,225$No925,000$925,000$
RFA
Lien / Lien NHL
Matthew DumbaFlamesD311994-07-25No185 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$1,460,674$No
UFA
Lien / Lien NHL
Olli MaattaFlamesD311994-08-22No207 Lbs6 ft2YesNoYes3Pro & Farm2,500,000$2,500,000$730,337$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Simon NemecFlamesD212004-02-15No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$270,225$No
RFA
Lien / Lien NHL
Sonny MilanoFlamesRW291996-05-12No194 Lbs6 ft0NoNoYes2Pro & Farm2,500,000$2,500,000$730,337$No2,500,000$
UFA
Lien / Lien NHL
Tanner PearsonFlamesLW331992-08-10No207 Lbs6 ft1NoNoYes1Pro & Farm2,950,000$2,950,000$861,798$No
UFA
Lien / Lien NHL
Timothy LiljegrenFlamesD261999-04-30No201 Lbs6 ft1NoNoYes2Pro & Farm3,100,000$3,100,000$905,618$No3,100,000$
UFA
Lien / Lien NHL
Travis HamonicFlamesD351990-08-16No195 Lbs6 ft0NoNoYes3Pro & Farm2,500,000$2,500,000$730,337$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Tyler BertuzziFlamesLW301995-02-24No200 Lbs6 ft2YesNoYes2Pro Only6,525,000$6,525,000$1,906,180$No6,525,000$
UFA
Lien / Lien NHL
Yanni GourdeFlamesC341991-12-15No174 Lbs5 ft9YesNoYes3Pro Only6,100,000$6,100,000$1,782,022$No6,100,000$6,100,000$
UFA
Lien / Lien NHL
Yaroslav AskarovFlamesG232002-06-16No178 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$270,225$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.48195 Lbs6 ft12.133,118,174$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
71,718,001$56,868,000$30,425,000$5,950,000$5,950,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BertuzziMacklin CelebriniEvander Kane34122
2Evan RodriguesYanni GourdeSonny Milano29122
3Tanner PearsonLuke KuninAdam Gaudette22122
4Evgeny KuznetsovLaurent DauphinKailer Yamamoto15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanTimothy Liljegren35122
2Logan MaillouxOlli Maatta30122
3Travis HamonicSimon Nemec25122
4Simon NemecOlli Maatta10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BertuzziMacklin CelebriniYanni Gourde60122
2Evan RodriguesLuke KuninAdam Gaudette40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenLogan Mailloux60122
2Jake BeanTravis Hamonic40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninTanner Pearson60122
2Laurent DauphinAdam Gaudette40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicOlli Maatta60122
2Timothy LiljegrenSimon Nemec40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Yanni Gourde60122Travis HamonicOlli Maatta60122
2Luke Kunin40122Timothy LiljegrenLogan Mailloux40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Yanni GourdeTyler Bertuzzi55122
2Luke KuninSonny Milano45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicLogan Mailloux55122
2Logan MaillouxJake Bean45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BertuzziMacklin CelebriniEvander KaneTimothy LiljegrenLogan Mailloux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonYanni GourdeSonny MilanoJake BeanOlli 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 LiljegrenLogan Mailloux, Timothy Liljegren
Tirs de pénalité
Yanni Gourde, Tanner Pearson, Tyler Bertuzzi, Evander Kane, Evan Rodrigues
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%0999201249.65%1114226449.20%49596451.35%2417237115
2Blackhawks21100000330000000000002110000033020.5003690020106021192005417313814214.29%12283.33%0999201249.65%1114226449.20%49596451.35%412753152512
3BlueJackets21100000550110000003121010000024-220.50058130005004582017073133525600.00%14192.86%0999201249.65%1114226449.20%49596451.35%412854162310
4Blues2110000057-21010000025-31100000032120.500591400230049161419081212443700.00%12466.67%1999201249.65%1114226449.20%49596451.35%402654142411
5Bruins1010000023-1000000000001010000023-100.0002460001102397702784175120.00%20100.00%0999201249.65%1114226449.20%49596451.35%2113268125
6Canucks32100000810-2110000005322110000037-440.667816240014307611353001105447621218.33%19384.21%0999201249.65%1114226449.20%49596451.35%583683243717
7Capitals11000000633000000000001100000063321.000610160021304115818044812226233.33%5180.00%0999201249.65%1114226449.20%49596451.35%2417237115
8Devils2020000068-21010000034-11010000034-100.00061218001230441611170782542389222.22%17476.47%0999201249.65%1114226449.20%49596451.35%382356162510
9Ducks311010001112-120101000710-31100000042240.667111930002261993041262104302668700.00%13376.92%0999201249.65%1114226449.20%49596451.35%654379223918
10Flyers2020000059-41010000046-21010000013-200.0005101510041065232220067232953800.00%12191.67%0999201249.65%1114226449.20%49596451.35%402555142311
11GoldenKnights2110000057-2110000004311010000014-320.50057120022106534181305419434614214.29%13469.23%0999201249.65%1114226449.20%49596451.35%483246152512
12Hurricanes2020000027-51010000014-31010000013-200.00024600002038151580772022465120.00%100100.00%0999201249.65%1114226449.20%49596451.35%342161152310
13Islanders2010000169-31010000046-21000000123-110.25069150021305520141766114344011218.18%10550.00%0999201249.65%1114226449.20%49596451.35%432853162714
14Jets20200000512-70000000000020200000512-700.0005813002120501015250741540354250.00%17664.71%0999201249.65%1114226449.20%49596451.35%362258162510
15Kings302010001116-520200000410-61000100076120.33311193000433197313232211335596915213.33%18477.78%0999201249.65%1114226449.20%49596451.35%603981243817
16Lightning21100000990110000007611010000023-120.50091625003330682917220632316516583.33%7357.14%0999201249.65%1114226449.20%49596451.35%453048152512
17Mammoth413000001116-52110000067-12020000059-420.250111930103530148415453012338539419421.05%23865.22%1999201249.65%1114226449.20%49596451.35%966591305125
18MapleLeafs11000000541110000005410000000000021.0005813004010421610160521710199222.22%4175.00%0999201249.65%1114226449.20%49596451.35%2014277115
19Oilers3020010049-51000010023-12020000026-410.16748120012109022264119829298716318.75%11463.64%0999201249.65%1114226449.20%49596451.35%624184233617
20Panthers2010100078-1100010005411010000024-220.500712190031215515181939027264610220.00%13469.23%0999201249.65%1114226449.20%49596451.35%382460152411
21Penguins1010000034-1000000000001010000034-100.00034700012036914130371112252150.00%60100.00%0999201249.65%1114226449.20%49596451.35%2114267115
22Predators11000000431110000004310000000000021.00046100002202891360281191910220.00%2150.00%0999201249.65%1114226449.20%49596451.35%2316237136
23Rangers1010000034-11010000034-10000000000000.000347002010271287041111218300.00%6183.33%0999201249.65%1114226449.20%49596451.35%2114258126
24RedWings2110000078-1110000007341010000005-520.50071320001330561615250702224466116.67%12191.67%0999201249.65%1114226449.20%49596451.35%382456162411
25Sabres1010000013-21010000013-20000000000000.00012300001032713120341514194125.00%7271.43%0999201249.65%1114226449.20%49596451.35%2215257126
26Senators20100100711-41000010034-11010000047-310.250713200011505817162508935263614214.29%12466.67%1999201249.65%1114226449.20%49596451.35%443050152411
27Sharks30300000611-52020000047-31010000024-200.000611170022209039242709536266813215.38%12375.00%0999201249.65%1114226449.20%49596451.35%654475223919
28Stars3300000014104220000009631100000054161.0001423370076109828373309828246817317.65%12375.00%0999201249.65%1114226449.20%49596451.35%674675213617
29Wild311001001113-22110000078-11000010045-130.5001121320043408132232519332406912650.00%14471.43%0999201249.65%1114226449.20%49596451.35%614179234018
Total59173503301175228-5330111502200103118-15296200110172110-38440.373175307482205260603175056557260015206064478612862705219.26%3187975.16%3999201249.65%1114226449.20%49596451.35%12528301565457741349
_Since Last GM Reset59173503301175228-5330111502200103118-15296200110172110-38440.373175307482205260603175056557260015206064478612862705219.26%3187975.16%3999201249.65%1114226449.20%49596451.35%12528301565457741349
_Vs Conference35121902200101133-321879011005769-1217510011004464-20300.4291011782791033372921065338364357611573724687851663018.07%1815171.82%2999201249.65%1114226449.20%49596451.35%753501910270446211
_Vs Division21513021005681-251136011003243-111027010002438-14150.35756991551015201926652082302225697241283494961414.58%1092973.39%1999201249.65%1114226449.20%49596451.35%457303542162268128

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5944L117530748217502060644786128620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5917353301175228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3011152200103118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
29620110172110
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2705219.26%3187975.16%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
565572600155260603
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
999201249.65%1114226449.20%49596451.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12528301565457741349


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
128939Flames-GoldenKnights-
129945Jets-Flames-
131956GoldenKnights-Flames-
133972Oilers-Flames-
135989Canadiens-Flames-
1391016Flames-Sharks-
1401026Flames-Kings-
1431046Flames-Ducks-
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
Luke Kunin
Luke Kunin
AGE:28
SK:78
EN:79
DU:94
PH:55
PA:48
SC:62
DF:76
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
Nate Danielson (R)
Nate Danielson
AGE:21
SK:87
EN:80
DU:70
PH:48
PA:51
SC:44
DF:64
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
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
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
203959173503301175228-5330111502200103118-15296200110172110-3844175307482205260603175056557260015206064478612862705219.26%3187975.16%3999201249.65%1114226449.20%49596451.35%12528301565457741349
Total Saison régulière16997506730624981845695552417185039032002929443829172746171849360353033203746277827780181756959870155652653204195819001502546562086180781813415886541801631221066381927875162520.63%7751152780.30%71302565912751.17%293115885449.80%139422761450.49%394582615740439134842328211524
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