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Flames
GP: 82 | W: 50 | L: 23 | OTL: 9 | P: 109
GF: 388 | GA: 338 | PP%: 20.25% | PK%: 85.00%
DG: Ray Whiddon | Morale : 75 | Moyenne d’équipe : 73
Prochains matchs #1317 vs Bruins

Centre de jeu
Flames
50-23-9, 109pts
4
2 Bruins
50-29-6, 106pts
Team Stats
L1SéquenceW1
25-15-3Fiche domicile25-12-5
25-8-6Fiche visiteur25-17-1
6-4-0Derniers 10 matchs5-5-0
4.73Buts par match 4.42
4.12Buts contre par match 3.76
20.25%Pourcentage en avantage numérique17.24%
85.00%Pourcentage en désavantage numérique86.54%
Sabres
43-36-6, 92pts
5
4 Flames
50-23-9, 109pts
Team Stats
W3SéquenceL1
21-17-4Fiche domicile25-15-3
22-19-2Fiche visiteur25-8-6
3-6-1Derniers 10 matchs6-4-0
4.24Buts par match 4.73
4.25Buts contre par match 4.12
15.65%Pourcentage en avantage numérique20.25%
75.38%Pourcentage en désavantage numérique85.00%
Flames
50-23-9, 109pts
Jour 116
Bruins
50-29-6, 106pts
Statistiques d’équipe
L1SéquenceW1
25-15-3Fiche domicile25-12-5
25-8-6Fiche visiteur25-17-1
6-4-010 derniers matchs5-5-0
4.73Buts par match 4.42
4.12Buts contre par match 4.42
20.25%Pourcentage en avantage numérique17.24%
85.00%Pourcentage en désavantage numérique86.54%
Flames
50-23-9, 109pts
Jour 117
Kings
40-37-8, 88pts
Statistiques d’équipe
L1SéquenceL2
25-15-3Fiche domicile22-17-3
25-8-6Fiche visiteur18-20-5
6-4-010 derniers matchs5-5-0
4.73Buts par match 4.32
4.12Buts contre par match 4.32
20.25%Pourcentage en avantage numérique15.68%
85.00%Pourcentage en désavantage numérique79.31%
Flames
50-23-9, 109pts
Jour 118
Sharks
29-44-12, 70pts
Statistiques d’équipe
L1SéquenceW1
25-15-3Fiche domicile15-23-4
25-8-6Fiche visiteur14-21-8
6-4-010 derniers matchs3-7-0
4.73Buts par match 3.61
4.12Buts contre par match 3.61
20.25%Pourcentage en avantage numérique16.60%
85.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Sidney CrosbyButs
Sidney Crosby
65
Sidney CrosbyPasses
Sidney Crosby
101
Sidney CrosbyPoints
Sidney Crosby
166
Plus/Moins
Kevin Bahl
19
Victoires
Igor Shesterkin
48
Pourcentage d’arrêts
Igor Shesterkin
0.897

Statistiques d’équipe
Buts pour
388
4.73 GFG
Tirs pour
3584
43.71 Avg
Pourcentage en avantage numérique
20.3%
48 GF
Début de zone offensive
38.2%
Buts contre
338
4.12 GAA
Tirs contre
3194
38.95 Avg
Pourcentage en désavantage numérique
85.0%%
21 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralRay Whiddon
EntraîneurAdam Foote
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomScotiabank Saddledome
Capacité18,000
Assistance15,619
Billets de saison10,800


Informations de la formation

Équipe Pro20
Équipe Mineure22
Limite contact 42 / 100
Espoirs101


Plafond salarial

Cap Salarial de la Saison estimé74,429,583$
Plafond salarial disponible70,417$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour66,804,021$
Dépenses annuelles à ce jour71,656,485$
Revenus de la saison estimés0$
Dépenses de la saison estimées3,773,058$
Compte bancaire actuel49,362,443$
Compte bancaire projeté45,589,385$


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
1Sidney CrosbyX100.0072538977708498899996946170999980848103817,860,000$
2John TavaresX100.0078448275777892869987966452949881847903526,594,000$
3Brock NelsonXX100.0062429379787998819382897154869077857803439,420,000$
4Jake GuentzelXX100.0062419176648398906086976372778180847803134,302,000$
5Ryan Nugent-HopkinsXX100.0060419181717995877481797365889275827703314,083,000$
6Chris KreiderXX100.0078459081857486834063847353859274847503525,330,000$
7Dmitri VoronkovXX100.007655807886749075427783592563637482720251925,000$
8Logan O'ConnorX100.0073569089666797613962647825707267826902911,887,000$
9Steven LorentzXX100.0088579777825797613662587425697165826703012,555,000$
10Tyler MotteXXX100.0078449784685972594760597625737663826603112,600,000$
11Mavrik Bourque (R)X100.006542988169639065616468682556576782660241894,167$
12Mark KastelicXXX100.0099995585885778607960586625666663826602721,402,000$
13Colton ParaykoX100.0080459681868983712570689225818672827903313,415,000$
14K'Andre MillerX100.0080459190818491712566519075717466827802623,944,000$
15Brett KulakX100.0060419384728199622558538225778162817303212,995,000$
16Samuel GirardX100.0070429484628190652564488025767962827202822,275,000$
17Kevin BahlX100.0079568671888390602556488625666762837202521,442,000$
18Ty EmbersonX100.0080589381726693602550488525606061837102652,950,000$
Rayé
Équipe Mineure
1Connor BrownX100.0059419679676799643770737525777969756903222,800,000$
2Mike HardmanX100.008176887476737665506168655950506274650271990,000$
3Ryan Suzuki (R)X100.0078728871758186668170596554474762756502521,243,000$
4Oskar Back (R)X100.0063429774775990665866617525555564266502631,485,000$
5Dylan Roobroeck (R)X100.0082818268838288597451656459474761736302131,390,000$
6Benoit-Olivier GroulxX100.0074737666735249638062616159474760655902621,340,000$
7Bokondji ImamaX100.009499497983436058255359602549495668590291914,000$
8Dylan Peterson (R)X100.0070776067796669537045595858474657725702431,353,000$
9Curtis DouglasX100.0079945265945353536948546353464657725702621,066,000$
10Aku RatyX100.0075718567735454545056486045474753745602431,108,000$
11Luca Pinelli (R)X100.0060596581605352567165435542454554725602131,284,000$
12Anthony Romano (R)XXX100.0075679763674545476145455944474651555202531,320,000$
13Michael KesselringX100.0077866879847299692566566825636361757002621,144,000$
14Shakir Mukhamadullin (R)X100.0070439273797568692562527925494961516702411,294,167$
15Kyle BurroughsX100.0078956767724755612549486625656554766103012,555,000$
16William VilleneuveX100.007269796971525156255443593947465171570241817,778$
17Aaron NessX100.0070668263666469462536405539474648615503611,000,000$
18Cole ClaytonX100.0075738364735254472539395837464649315502631,336,000$
19Nathan Aspinall (R)XXX99.3983779983803432435537436142474749625202031,269,000$
20Shai Buium (R)X100.0082799467815455502547406438474751675902331,287,000$
MOYENNE D’ÉQUIPE99.98756284767666776449616169406264637366
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
1Igor Shesterkin100.007591877472807178777589687173837503015,628,000$
2Ilya Samsonov100.006259598265586962656273626463836402923,960,000$
Rayé
Équipe Mineure
1Erik Portillo (R)100.00484860904750575954503047474780560251875,000$
2Felix Sandstrom100.004944558149495456525030444449765302921,585,000$
MOYENNE D’ÉQUIPE100.0059616582585963646259565557588162
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Foote40404040404040TUR8111,000,000$


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
1Sidney CrosbyFlamesC826510116613341012216646815230513.89%46186722.77922315621901141247160.37%29558420111.781600214711
2Brock NelsonFlamesC/LW82594910812160649538613421715.28%68187122.831311246121900041286360.23%1767431441.1501000573
3John TavaresFlamesC814561106864101368739211821311.48%43155719.23101020551880000126256.99%3796122031.36160104113
4Jake GuentzelFlamesC/LW82454893134058692928418815.41%34131416.036410181641017838250.56%89458011.4211000754
5Ryan Nugent-HopkinsFlamesC/RW8231427351003810225410817512.20%34116714.2317810102000004250.61%9034420111.2501000423
6Chris KreiderFlamesLW/RW8227366310260126702448713811.07%37127815.59246111640004576238.10%633524000.9924000562
7Dmitri VoronkovFlamesC/LW822332554355136632307116810.00%28114914.01000170003564443.08%654218010.9611001424
8Colton ParaykoFlamesD828475558013814422187833.62%176226327.603710352400002146000%03270000.4902000004
9K'Andre MillerFlamesD8245054424012415517679962.27%151224627.402911322400003137010%03169000.4801000110
10Tyler MotteFlamesC/LW/RW82212748124098103115426518.26%35129515.8023512950000132340.36%5601622000.7400000022
11Mavrik BourqueFlamesC82171734-3002455184571159.24%156618.0700000000011051.03%290397001.0300000101
12Brett KulakFlamesD827243111154710412454465.65%116171420.910119146000286000%01547000.3600010100
13Logan O'ConnorFlamesRW8211193041810837391203712.09%23107713.1400006000001037.78%452018000.5600002011
14Steven LorentzFlamesC/LW8251722-340483312130674.13%196778.2700000000000125.00%82411000.6500000000
15Samuel GirardFlamesD8212021280721089241471.09%117172421.030006146000297100%01445000.2400000000
16Mark KastelicFlamesC/LW/RW8213821-248101133269223018.84%156678.1300002000011050.00%16157000.6300101030
17Kevin BahlFlamesD82212141926063705732253.51%5498211.9900002000015000%0326000.2800000000
18Ty EmbersonFlamesD8221113192062806726292.99%6896011.720000200000100%0524000.2700000000
19Connor BrownHeat (CAL)RW1000100101100%11212.2000000000000037.50%80000000000000
Statistiques d’équipe totales ou en moyenne14763866211007124342501553160935841245204410.77%10802449016.594878126306194811231966482155.14%55575994896110.82623126464738
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
1Igor ShesterkinFlames82482180.8973.9947334031530531480720.60020811335
2Ilya SamsonovFlames72210.8784.55224001713989000.5002181000
Statistiques d’équipe totales ou en moyenne89502390.8964.024958403323192156972228282335


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Brett KulakFlamesD321994-01-06CANNo192 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm2,995,000$149,750$2,995,000$149,750$No---------------------------Lien / Lien NHL
Brock NelsonFlamesC/LW341991-10-15USANo205 Lbs6 ft4NoNoAssign ManuallyNoYes32025-11-06FalseFalsePro & Farm9,420,000$471,000$9,420,000$471,000$No9,420,000$9,420,000$-------9,420,000$9,420,000$-------NoNo-------Lien / Lien NHL
Chris KreiderFlamesLW/RW351991-04-30USANo230 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm5,330,000$266,500$5,330,000$266,500$No5,330,000$--------7,999,500$--------No--------Lien / Lien NHL
Colton ParaykoFlamesD331993-05-12CANNo228 Lbs6 ft6NoNoN/ANoYes1FalseFalsePro & Farm3,415,000$170,750$3,415,000$170,750$No---------------------------Lien / Lien NHL
Dmitri VoronkovFlamesC/LW252000-09-10RUSNo227 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm925,000$46,250$925,000$46,250$No---------------------------Lien
Igor ShesterkinFlamesG301995-12-30RUSNo195 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm5,628,000$281,400$5,628,000$281,400$No---------------------------Lien
Ilya SamsonovFlamesG291997-02-22RUSNo208 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm3,960,000$198,000$3,960,000$198,000$No3,960,000$--------3,960,000$--------No--------Lien / Lien NHL
Jake GuentzelFlamesC/LW311994-10-06USANo178 Lbs5 ft11NoNoN/ANoYes32025-05-01FalseFalsePro & Farm4,302,000$215,100$4,302,000$215,100$No4,302,000$4,302,000$-------4,302,000$4,302,000$-------NoNo-------Lien / Lien NHL
John TavaresFlamesC351990-09-20CANNo211 Lbs6 ft1NoNoTrade2025-09-03NoYes2FalseFalsePro & Farm6,594,000$329,700$6,594,000$329,700$No6,594,000$--------5,662,000$--------No--------Lien / Lien NHL
K'Andre MillerFlamesD262000-01-21USANo210 Lbs6 ft5NoNoN/ANoYes2FalseFalsePro & Farm3,944,000$197,200$3,944,000$197,200$No3,944,000$--------3,944,000$--------No--------Lien
Kevin BahlFlamesD252000-06-27CANNo230 Lbs6 ft6NoNoN/ANoYes2FalseFalsePro & Farm1,442,000$72,100$1,442,000$72,100$No1,442,000$--------1,442,000$--------No--------Lien
Logan O'ConnorFlamesRW291996-08-14USANo175 Lbs6 ft0NoNoTrade2025-09-03NoYes1FalseFalsePro & Farm1,887,000$94,350$1,887,000$94,350$No---------------------------Lien / Lien NHL
Mark KastelicFlamesC/LW/RW271999-03-11USANo227 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,402,000$70,100$1,402,000$70,100$No1,402,000$--------1,402,000$--------No--------Lien
Mavrik BourqueFlamesC242002-01-08CANYes181 Lbs5 ft11NoNoTrade2025-12-08NoNo1FalseFalsePro & Farm894,167$44,708$894,167$44,708$No---------------------------Lien
Ryan Nugent-HopkinsFlamesC/RW331993-04-12CANNo192 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm4,083,000$204,150$4,083,000$204,150$No---------------------------Lien / Lien NHL
Samuel GirardFlamesD281998-05-12CANNo170 Lbs5 ft10NoNoN/ANoYes2FalseFalsePro & Farm2,275,000$113,750$2,275,000$113,750$No2,275,000$--------802,645$--------No--------Lien / Lien NHL
Sidney CrosbyFlamesC381987-08-07CANNo200 Lbs5 ft11NoNoN/ANoYes12025-05-01FalseFalsePro & Farm7,860,000$393,000$7,860,000$393,000$No---------------------------Lien / Lien NHL
Steven LorentzFlamesC/LW301996-04-13CANNo216 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm2,555,000$127,750$2,555,000$127,750$No---------------------------Lien / Lien NHL
Ty EmbersonFlamesD262000-05-23USANo193 Lbs6 ft2NoNoN/ANoYes52025-11-18FalseFalsePro & Farm2,950,000$147,500$2,950,000$147,500$No2,950,000$2,950,000$2,950,000$2,950,000$-----2,950,000$2,950,000$2,950,000$2,950,000$-----NoNoNoNo-----Lien
Tyler MotteFlamesC/LW/RW311995-03-10USANo194 Lbs5 ft10NoNoTrade2024-10-02NoYes1FalseFalsePro & Farm2,600,000$130,000$2,600,000$130,000$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.05203 Lbs6 ft21.753,723,058$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
74,461,167$41,619,000$16,672,000$2,950,000$2,950,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brock NelsonSidney CrosbyJohn Tavares40014
2Jake GuentzelTyler MotteChris Kreider25014
3Dmitri VoronkovRyan Nugent-HopkinsLogan O'Connor25014
4Steven LorentzMavrik BourqueMark Kastelic10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton ParaykoK'Andre Miller45041
2Brett KulakSamuel Girard35041
3Kevin BahlTy Emberson20041
4Colton ParaykoK'Andre Miller0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brock NelsonSidney CrosbyJohn Tavares55005
2Jake GuentzelRyan Nugent-HopkinsChris Kreider45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton ParaykoK'Andre Miller55041
2Brett KulakSamuel Girard45041
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sidney CrosbyBrock Nelson60050
2Chris KreiderJake Guentzel40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton ParaykoK'Andre Miller60050
2Brett KulakSamuel Girard40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sidney Crosby60050Colton ParaykoK'Andre Miller60050
2Jake Guentzel40050Brett KulakSamuel Girard40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sidney CrosbyBrock Nelson55032
2Chris KreiderJake Guentzel45032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton ParaykoK'Andre Miller55032
2Brett KulakSamuel Girard45032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brock NelsonSidney CrosbyJohn TavaresColton ParaykoK'Andre Miller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brock NelsonSidney CrosbyJohn TavaresColton ParaykoK'Andre Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Guentzel, Chris Kreider, Sidney CrosbyJake Guentzel, Chris KreiderJake Guentzel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Girard, Kevin Bahl, Ty EmbersonSamuel GirardSamuel Girard, Kevin Bahl
Tirs de pénalité
Sidney Crosby, John Tavares, Chris Kreider, Brock Nelson, Jake Guentzel
Gardien
#1 : Igor Shesterkin, #2 : Ilya Samsonov
Lignes d’attaque personnalisées en prolongation
Sidney Crosby, John Tavares, Steven Lorentz, Brock Nelson, Jake Guentzel, Chris Kreider, Ryan Nugent-Hopkins, Dmitri Voronkov, Logan O'Connor, Mark Kastelic
Lignes de défense personnalisées en prolongation
Colton Parayko, K'Andre Miller, Brett Kulak, Samuel Girard, Kevin Bahl


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
1Avalanche220000001266110000007431100000052341.00012213300363080312920079194494125.00%20100.00%01153210754.72%1086197754.93%825143057.69%412443183517
2Blackhawks211000001073110000007251010000035-220.5001016260004609134273008128438600.00%20100.00%01153210754.72%1086197754.93%825143057.69%432640173517
3Blue Jackets20100001710-31010000024-21000000156-110.2507916002410823424242822412348112.50%6183.33%01153210754.72%1086197754.93%825143057.69%442645193417
4Blues211000001011-11010000046-21100000065120.50010172700235094263533088172345120.00%10100.00%01153210754.72%1086197754.93%825143057.69%412443173517
5Bruins220000001064110000006421100000042241.00010172700127077261932079301049200.00%5260.00%01153210754.72%1086197754.93%825143057.69%412443173416
6Canadiens2100010010821000010045-11100000063330.7501019290024409946203307228103410330.00%5180.00%01153210754.72%1086197754.93%825143057.69%503135173418
7Canucks54000010271982100001010733300000017125101.00027447100851342178764641121963199811436.36%70100.00%01153210754.72%1086197754.93%825143057.69%11369103428744
8Capitals30300000817-920200000512-71010000035-200.0008132110125012639464101165013489333.33%40100.00%01153210754.72%1086197754.93%825143057.69%654167254622
9Coyotes330000001358110000004222200000093661.0001318310021010163447445079271059900.00%5180.00%01153210754.72%1086197754.93%825143057.69%774847255528
10Devils301010011617-11000000134-1201010001313030.500162541006451133573337911440165811436.36%8362.50%01153210754.72%1086197754.93%825143057.69%694263275225
11Ducks85201000332855320000019190320010001495120.750335386101310913271301049123081104812632618.75%14285.71%01153210754.72%1086197754.93%825143057.69%1801091637013869
12Flyers2200000013211110000007161100000061541.0001318310042707630202606124194113430.77%20100.00%01153210754.72%1086197754.93%825143057.69%452537183620
13Golden Knights540010003219132200000015783200100017125101.000324981001687122710665551176501410315640.00%7271.43%01153210754.72%1086197754.93%825143057.69%1177396438845
14Islanders22000000844110000003121100000053241.000813210014307922233407225445400.00%20100.00%01153210754.72%1086197754.93%825143057.69%402343173518
15Jets21100000770110000004221010000035-220.50071118002410742822240702114479333.33%7185.71%01153210754.72%1086197754.93%825143057.69%442440183517
16Kings402001101722-5301001101518-31010000024-230.375172643003941180617541516154218211218.18%8187.50%01153210754.72%1086197754.93%825143057.69%955880336936
17Lightning220000001266110000006331100000063341.00012203200831090402129077244316233.33%20100.00%01153210754.72%1086197754.93%825143057.69%482936173518
18Maple Leafs21000100770110000004311000010034-130.7507121900043095273335079194389111.11%20100.00%01153210754.72%1086197754.93%825143057.69%472736173619
19Oilers513001002124-320200000710-3311001001414030.30021365700984022175885802298218767114.29%10190.00%01153210754.72%1086197754.93%825143057.69%10564109438440
20Panthers20200000614-81010000035-21010000039-600.0006915005010863913340802410371218.33%50100.00%01153210754.72%1086197754.93%825143057.69%432439183719
21Penguins220000001275110000006331100000064241.00012193100363078332916067292385120.00%10100.00%01153210754.72%1086197754.93%825143057.69%432538183718
22Predators2110000057-21010000026-41100000031220.50059140013108736262505519440800.00%20100.00%01153210754.72%1086197754.93%825143057.69%493033173618
23Rangers2000100111110100010005411000000167-130.750111526005412772732147793264410110.00%3166.67%01153210754.72%1086197754.93%825143057.69%472639183921
24Red Wings2000110011110100010006511000010056-130.75011193000343195273722998386337114.29%30100.00%01153210754.72%1086197754.93%825143057.69%452744183517
25Sabres31200000131302020000079-21100000064220.3331324370053501374351430128422950000%8187.50%01153210754.72%1086197754.93%825143057.69%583465275526
26Senators201000011016-61010000038-51000000178-110.250101727002530943338206793011353133.33%3166.67%11153210754.72%1086197754.93%825143057.69%442643173718
27Sharks4400000025131233000000201191100000052381.00025396400979017457665101696710945120.00%5260.00%01153210754.72%1086197754.93%825143057.69%855386366833
28Stars2110000013121110000007521010000067-120.50013203300265091342631073221236100.00%6183.33%01153210754.72%1086197754.93%825143057.69%452738173617
29Whalers11000000532110000005320000000000021.00058130013104719121604311422100.00%20100.00%01153210754.72%1086197754.93%825143057.69%2313188189
30Wild2110000046-21010000015-41100000031220.5004590021108727283208131634400.00%30100.00%01153210754.72%1086197754.93%825143057.69%412546163215
Total824323055243883385043211502221197178193922803303191160311090.665388621100920121138122113584131811801056523194108034615532374820.25%1402185.00%11153210754.72%1086197754.93%825143057.69%1842111216737241447726
_Since Last GM Reset824323055243883385043211502221197178193922803303191160311090.665388621100920121138122113584131811801056523194108034615532374820.25%1402185.00%11153210754.72%1086197754.93%825143057.69%1842111216737241447726
_Vs Conference482913022202291864325148001201221041823155021001078225680.70822936459310728469721137767296001918686101869161272519.69%791186.08%01153210754.72%1086197754.93%825143057.69%1083660972420840418
_Vs Division311870222015512530179500120867214149202100695316460.7421552474021058474671346516462360191262426130579812024.69%51884.31%01153210754.72%1086197754.93%825143057.69%699428639271536269

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82109L13886211009358431941080346155320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8243235524388338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4321152221197178
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
392283303191160
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2374820.25%1402185.00%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1318118010565212113812211
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
1153210754.72%1086197754.93%825143057.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1842111216737241447726


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
111Ducks3Flames5WSommaire du match
223Flames6Ducks5WXSommaire du match
338Flames5Canucks3WSommaire du match
454Ducks5Flames2LSommaire du match
670Flames7Oilers5WSommaire du match
779Ducks4Flames6WSommaire du match
8103Flames3Panthers9LSommaire du match
9115Kings3Flames4WXXSommaire du match
11134Sharks5Flames8WSommaire du match
13153Flames4Coyotes2WSommaire du match
14168Canucks2Flames4WSommaire du match
16189Capitals3Flames2LSommaire du match
17198Flames6Golden Knights4WSommaire du match
19218Flames7Devils6WXSommaire du match
20231Oilers6Flames4LSommaire du match
21251Ducks5Flames3LSommaire du match
23275Flames3Blackhawks5LSommaire du match
24284Panthers5Flames3LSommaire du match
25301Flames5Blue Jackets6LXXSommaire du match
26314Ducks2Flames3WSommaire du match
28332Flames7Senators8LXXSommaire du match
29346Coyotes2Flames4WSommaire du match
30361Flames6Rangers7LXXSommaire du match
31377Blue Jackets4Flames2LSommaire du match
33398Flames5Avalanche2WSommaire du match
34411Wild5Flames1LSommaire du match
36433Lightning3Flames6WSommaire du match
37454Flames6Sabres4WSommaire du match
38464Flames3Predators1WSommaire du match
39473Kings8Flames5LSommaire du match
40495Flames4Ducks2WSommaire du match
41503Rangers4Flames5WXSommaire du match
43528Flames6Flyers1WSommaire du match
44536Canucks5Flames6WXXSommaire du match
45549Flames4Ducks2WSommaire du match
46565Stars5Flames7WSommaire du match
49589Flames6Stars7LSommaire du match
50600Jets2Flames4WSommaire du match
51622Blues6Flames4LSommaire du match
54650Flames8Canucks6WSommaire du match
55658Flyers1Flames7WSommaire du match
57678Flames4Oilers5LXSommaire du match
58692Bruins4Flames6WSommaire du match
59714Islanders1Flames3WSommaire du match
60730Flames3Maple Leafs4LXSommaire du match
62742Flames3Oilers4LSommaire du match
63752Canadiens5Flames4LXSommaire du match
64775Whalers3Flames5WSommaire du match
65788Flames4Golden Knights3WXSommaire du match
67804Flames3Capitals5LSommaire du match
68813Penguins3Flames6WSommaire du match
69833Golden Knights5Flames8WSommaire du match
71854Flames6Penguins4WSommaire du match
72867Blackhawks2Flames7WSommaire du match
75890Flames5Red Wings6LXSommaire du match
76904Oilers4Flames3LSommaire du match
77921Flames3Jets5LSommaire du match
78932Maple Leafs3Flames4WSommaire du match
80956Flames4Canucks3WSommaire du match
81962Devils4Flames3LXXSommaire du match
83993Predators6Flames2LSommaire du match
841002Flames6Canadiens3WSommaire du match
861023Sabres4Flames3LSommaire du match
871037Flames3Wild1WSommaire du match
891056Red Wings5Flames6WXSommaire du match
921086Kings7Flames6LXSommaire du match
931104Flames5Coyotes1WSommaire du match
941114Golden Knights2Flames7WSommaire du match
951123Flames6Lightning3WSommaire du match
961144Capitals9Flames3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971154Flames5Islanders3WSommaire du match
991173Flames6Blues5WSommaire du match
1001179Sharks4Flames6WSommaire du match
1021198Flames7Golden Knights5WSommaire du match
1031211Avalanche4Flames7WSommaire du match
1051232Flames5Sharks2WSommaire du match
1061242Sharks2Flames6WSommaire du match
1071254Flames6Devils7LSommaire du match
1101273Senators8Flames3LSommaire du match
1111276Flames2Kings4LSommaire du match
1121293Flames4Bruins2WSommaire du match
1131303Sabres5Flames4LSommaire du match
1161317Flames-Bruins-
1171327Flames-Kings-
1181332Flames-Sharks-
1191333Flames-Whalers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets85604530120
Assistance248,591206,72263,506109,92542,882
Attendance PCT96.35%96.15%73.84%63.91%99.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 15619 - 86.77% 1,553,582$66,804,021$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
71,656,485$ 74,461,167$ 74,461,167$ 1,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
620,510$ 70,706,523$ 10,510$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 628,843$ 3,773,058$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
3,773,058$ 49,362,443$ 45,589,385$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
74,429,583$ 70,417$ 74,500,000$ 15,929,583$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jake GuentzelAGE:31PO:80OV:78
Brock NelsonAGE:34PO:77OV:78
Chris KreiderAGE:35PO:74OV:75
Dmitri VoronkovAGE:25PO:74OV:72
Steven LorentzAGE:30PO:65OV:67
Tyler MotteAGE:31PO:63OV:66
Mark KastelicAGE:27PO:63OV:66
Mike HardmanAGE:27PO:62OV:65
Bokondji ImamaAGE:29PO:56OV:59
Anthony Romano (R)AGE:25PO:51OV:52
Nathan Aspinall (R)AGE:20PO:49OV:52
Sidney CrosbyAGE:38PO:80OV:81
John TavaresAGE:35PO:81OV:79
Jake GuentzelAGE:31PO:80OV:78
Brock NelsonAGE:34PO:77OV:78
Ryan Nugent-HopkinsAGE:33PO:75OV:77
Dmitri VoronkovAGE:25PO:74OV:72
Steven LorentzAGE:30PO:65OV:67
Mavrik Bourque (R)AGE:24PO:67OV:66
Tyler MotteAGE:31PO:63OV:66
Mark KastelicAGE:27PO:63OV:66
Oskar Back (R)AGE:26PO:64OV:65
Ryan Suzuki (R)AGE:25PO:62OV:65
Dylan Roobroeck (R)AGE:21PO:61OV:63
Benoit-Olivier GroulxAGE:26PO:60OV:59
Dylan Peterson (R)AGE:24PO:57OV:57
Curtis DouglasAGE:26PO:57OV:57
Luca Pinelli (R)AGE:21PO:54OV:56
Anthony Romano (R)AGE:25PO:51OV:52
Nathan Aspinall (R)AGE:20PO:49OV:52
Ryan Nugent-HopkinsAGE:33PO:75OV:77
Chris KreiderAGE:35PO:74OV:75
Connor BrownAGE:32PO:69OV:69
Logan O'ConnorAGE:29PO:67OV:69
Tyler MotteAGE:31PO:63OV:66
Mark KastelicAGE:27PO:63OV:66
Aku RatyAGE:24PO:53OV:56
Anthony Romano (R)AGE:25PO:51OV:52
Nathan Aspinall (R)AGE:20PO:49OV:52

Défense #1Défense #2Gardien
Colton ParaykoAGE:33PO:72OV:79
K'Andre MillerAGE:26PO:66OV:78
Brett KulakAGE:32PO:62OV:73
Samuel GirardAGE:28PO:62OV:72
Kevin BahlAGE:25PO:62OV:72
Ty EmbersonAGE:26PO:61OV:71
Michael KesselringAGE:26PO:61OV:70
Shakir Mukhamadullin (R)AGE:24PO:61OV:67
Kyle BurroughsAGE:30PO:54OV:61
Shai Buium (R)AGE:23PO:51OV:59
William VilleneuveAGE:24PO:51OV:57
Cole ClaytonAGE:26PO:49OV:55
Aaron NessAGE:36PO:48OV:55
Igor ShesterkinAGE:30PO:73OV:75
Ilya SamsonovAGE:29PO:63OV:64
Erik Portillo (R)AGE:25PO:47OV:56
Felix SandstromAGE:29PO:49OV:53

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Abbott GirduckisFlames00Lien
Andreas LiljaFlames00
Andrei MironovFlames00
Andy SuttonFlames00
Antoine KellerFlames2023213
Anton BabchukFlames00
Anton KarlssonFlames201486
Anton WedinFlames00Lien
Aron DahlqvistFlames2025185
Bauer BerryFlames2024212
Brett CarsonFlames00
Bryan CameronFlames00
Burke HoodFlames2025158
C.J. SeverynFlames00
Cam MacliseFlames00Lien
Cameron BergFlames2021118
Chad JohnsonFlames00
Colton PointFlames00Lien
Connor HvidstonFlames2022150
Corey ElkinsFlames00
David DesharnaisFlames00
David QuennevilleFlames2016200
David SklenickaFlames00Lien
Diego CugliettaFlames00Lien
Dmitri JaskinFlames00
Dmitri SamorukovFlames201781Lien
Dominik LakatosFlames2017150
Emil JohanssonFlames00
Fedor TyutinFlames00
Flames CapmanFlames00
Freddie TiffelsFlames00
Gage AusmusFlames00
Gustav KarlssonFlames2022154
Hugo CarpentierFlames00
Hugo OllasFlames2020187
Igor ShvyrovFlames2017106
J.P. Lamoureux Flames00
Jack BadiniFlames201791Lien
Janne PeltonenFlames2023186
Jared VanWormerFlames00Lien
Jermaine LoewenFlames2018193Lien
Jon LizotteFlames00Lien
Jon SimFlames00
Jordan BoucherFlames00
Jordan PearceFlames00
Joshua DunneFlames00Lien
Joshua WinquistFlames00
Keith KinkaidFlames00Lien
Kirill GerasimyukFlames2021149
Leland IrvingFlames00
Logan CockerillFlames2017203
Logan MacMillanFlames00
Ludwig BystromFlames00
Marek ZidlickyFlames00
Matthew GardFlames202561
Max ReinhartFlames00
Max ZimmerFlames2016108Lien
Maxim DenezhkinFlames2019203
Miguel TourignyFlames2022175
Mikhail FyodorovFlames2025154
Mitch CallahanFlames00
NIKLAS TIKKINENFlames2012157
Nate GueninFlames00
Nicholas LarsonFlames00
Nick EllisFlames00
Nick PastujovFlames2016198Lien
Oliver TarnstromFlames202094
Olle Eriksson EkFlames2017133Lien
Ondrej KaseFlames00Lien
Oskar SteenFlames2016168Lien
Pascal LabergeFlames00Lien
Patrick HollandFlames00
Petr SikoraFlames2024181
Phil McRaeFlames00
Rasmus LarssonFlames2023151
Riley StottsFlames201887
Robin SaloFlames201738Lien
Ruslan IskhakovFlames201839Lien
Ryan HowseFlames00
Ryan MillerFlames2025123
Ryder DonovanFlames201996
Scott ParseFlames00
Sean O'DonnellFlames00
Shane LachanceFlames2021180
Shawn MatthiasFlames00
Simon KjellbergFlames2018159
Staffan KronwallFlames00
Stefan MeyerFlames00
Tanner HenricksFlames2024115
Topi RonniFlames202286
Tristin LanganFlames00Lien
Tye McGinnFlames00Lien
Tyler AngleFlames2019214Lien
Wade ReddenFlames00
William Worge KreuFlames2018163
Yan MatveikoFlames2025216
Yaroslav DyblenkoFlames00
Yegor BorikovFlames2025114
Yegor RykovFlames2016137
Zach FischerFlames2017142
Zach HamillFlames00

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Flames Historique de transactions




Pas de blessure ou de suspension.


Flames Leaders statistiques des joueurs (saison régulière)

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

Flames Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Flames Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Flames Leaders statistiques des joueurs (séries éliminatoires)

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

Flames Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA