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Connexion

Flames
GP: 80 | W: 43 | L: 32 | OTL: 5 | P: 91
GF: 296 | GA: 266 | PP%: 23.00% | PK%: 83.19%
DG: Steve Landry | Morale : 48 | Moyenne d’équipe : 74
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Centre de jeu
Maple Leafs
35-36-9, 79pts
5
FINAL
2 Flames
43-32-5, 91pts
Team Stats
W2StreakL2
21-16-3Home Record20-19-1
14-20-6Away Record23-13-4
4-4-2Last 10 Games6-4-0
3.49Buts par match 3.70
3.58Buts contre par match 3.33
21.94%Pourcentage en avantage numérique23.00%
81.10%Pourcentage en désavantage numérique83.19%
Flames
43-32-5, 91pts
5
FINAL
6 Canadiens
40-32-8, 88pts
Team Stats
L2StreakW3
20-19-1Home Record23-14-3
23-13-4Away Record17-18-5
6-4-0Last 10 Games4-5-1
3.70Buts par match 3.41
3.33Buts contre par match 3.53
23.00%Pourcentage en avantage numérique20.75%
83.19%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Jimmy Hayes
43
Passes
Patrik Berglund
62
Points
Jimmy Hayes
94
Plus/Moins
Erik Johnson
24
Victoires
Henrik Lundqvist
28
Pourcentage d’arrêts
Christopher Gibson
0.897

Statistiques d’équipe
Buts pour
296
3.70 GFG
Tirs pour
2566
32.08 Avg
Pourcentage en avantage numérique
23.0%
69 GF
Début de zone offensive
37.5%
Buts contre
266
3.33 GAA
Tirs contre
2474
30.93 Avg
Pourcentage en désavantage numérique
83.2%%
59 GA
Début de la zone défensive
37.2%
Informations de l'équipe

Directeur généralSteve Landry
EntraîneurLindy Ruff
DivisionLalancette K
ConférencePrince de Galles
CapitaineEric Staal
Assistant #1Erik Johnson
Assistant #2


Informations de l’aréna

NomScotiabank Saddledome
Capacité18,000
Assistance17,359
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure32
Limite contact 55 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé54,003,291$
Plafond salarial disponible44,480,703$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour56,311,626$
Dépenses annuelles à ce jour56,003,427$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel35,483,994$
Compte bancaire projeté35,483,994$


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
1Eric Staal (C)X100.0075547674757384858079777584939918687813335,000,000$
2Brad MarchandX100.0077458180837975747478787581745726687602914,000,000$
3Patrik BerglundX100.0075278973818182768176857376755826687612913,500,000$
4Bryan RustX100.0071258575798979727778787769675439687502522,000,000$
5Jimmy HayesX100.0081447875766980807477817565716528687502822,000,000$
6Colin WilsonX100.0074248477867980758474776579666332687402823,000,000$
7Kyle PalmieriX100.0073247879788082837374747177585434547402611,800,000$
8Tanner PearsonX100.0069289279817982776367846578696744687402542,000,000$
9Anders LeeX100.0081268577767671727269826872666429687302711,400,000$
10Kevin Labanc (R)X100.0064277987777377827274736684605254697302131,200,000$
11David UllstromX100.0074218072838173787282667166666129697202812,100,000$
12Vladimir SobotkaX100.006538737272787072727272726472582141700301985,000$
13Erik Johnson (A)X100.0073477678818691816981798469875330687812915,500,000$
14Sami VatanenX100.0077368682808488826178797171775037687712623,500,000$
15Esa LindellX100.0072298783767982835185707365704945687602342,000,000$
16Christian FolinX100.0068318180777880866178628162686032687502631,500,000$
17Brendan MikkelsonX100.0070388073757674685876658468735820687403011,400,000$
18Colby RobakX100.0075367672807979736780707868735331687402721,800,000$
Rayé
1Jake DeBrusk (R)X100.007852827679787672707479687258476023730212975,000$
2David SavardX100.0078427675777976706368727668796130197402721,800,000$
Équipe Mineure
1Matthew NietoX100.007328797077817975748072647268633864720251950,000$
2Evgeny Svechnikov (R)X100.006932866886767772757088527054465867710212900,000$
3Philip VaroneX100.007124717273757875797672626673652947710271900,000$
4Victor Rask (R)X100.007234787376747573767179637660504449710242950,000$
5Peter Cehlarik (R)X100.006744797165727172737470597048465254680223800,000$
6Barclay Goodrow (R)X100.007629737168676868656971706446503867670241850,000$
7Chris BrownX100.006342807369707263605682536950502953660261750,000$
8Ryan Donato (R)X100.007237736278647065716473476543435321640211600,000$
9Jesper Bratt (R)X100.006047706963716768716967557041427146640191500,000$
10Vladislav Kamenev (R)X100.006928714971656767585774567143435421610211600,000$
11Tage Thompson (R)X100.005532836762756251626949595744436567590201500,000$
12Mathieu BrodeurX100.007228856872747472487157775969542551710271850,000$
13Rasmus Andersson (R)X100.007137828165667281427965725455476050710212950,000$
14Petteri Lindbohm (R)X100.005839746164666972456670675547523727650241600,000$
15Dominik Masin (R)X100.006431846567626853296042755046445352630213600,000$
16Brandon Hickey (R)X100.006227825960596050336642764943434243620212600,000$
17Christian Jaros (R)X100.006529756260595660326744705043444723620213600,000$
18Erik Brannstrom (R)X100.004829676944426982338057673340408557600182500,000$
19Ryan SpoonerX100.006431757374737369757868616653483652680251850,000$
20Nico Sturm (R)X100.006429877175777663717356686848494962670221500,000$
21Eric Karlsson (R)X100.008033726777666862636471615447474162650233650,000$
22Taylor Raddysh (R)X100.005546786067675767675963556541416419610192500,000$
23Ivan Chekhovich (R)X100.006223734673545759565875336340407120570182500,000$
24Radim Zohorna (R)X100.005537735767716058525567415546445520570211500,000$
25Skyler Brind'Amour (R)X100.004331754952685544525351535140406920520182500,000$
26Frank Corrado (R)X100.006940736976757473577059686057503942680243800,000$
27Trevor Carrick (R)X100.006038748063647475397455654146473521660231600,000$
28John Gilmour (R)X100.006932756661746673507156645647493420650242700,000$
29Darren Raddysh (R)X100.006124906356666045446635653749455520600212500,000$
MOYENNE D’ÉQUIPE100.00683479707272737062716866645852435069
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
1Henrik Lundqvist100.008191777878787783787877929913688023524,000,000$
2Christopher Gibson100.007681777673768083807871615736677712521,900,000$
Rayé
1Nathan Lieuwen100.00666662596269606767616261612820640261700,000$
Équipe Mineure
1Michael Hutchinson100.00727874737673737877697265632666740271975,000$
2Vitek Vanecek100.00626867585871765156746144445167620212600,000$
3Collin Delia (R)100.00715263706855495761536641416120580231500,000$
MOYENNE D’ÉQUIPE100.0071737069697069707069686161365169
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff87647578888854CAN5312,000,000$


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
1Jimmy HayesFlamesRW804351944720150822468915317.48%29130916.3724254960254000008444.58%833918011.4411000772
2Patrik BerglundFlamesC8032629482601061742136810915.02%35160620.081230424025501182695352.58%18243132011.1702000634
3Eric StaalFlamesC80404888149201441672538614715.81%39163320.41651116195101101876050.55%19075126311.0803000963
4Brad MarchandFlamesLW80304575203201231172648513411.36%43163820.4928101077011162906244.00%1256128010.9202000853
5Tanner PearsonFlamesLW8030386814072702105411214.29%24130216.288142241244000052238.24%683523001.0401000127
6Bryan RustFlamesRW8023386118220109781695610713.61%40144918.1201194902271383255.79%953331000.8400000145
7Sami VatanenFlamesD80741482232010712713457515.22%114198724.843710302750113146100.00%05056000.4800000330
8Erik JohnsonFlamesD807394624116014314015370604.58%137212226.544812282761235276100.00%04678000.4300000025
9Kevin LabancFlamesRW80151732-22605544140396010.71%117369.2154923156000001250.00%224013000.8711000212
10Kyle PalmieriFlamesRW73151631-2475844516767898.98%2281511.17000000000340137.78%453318000.7600000013
11Colin WilsonFlamesC801415291280625692225415.22%2287010.8800000000082151.62%4321411000.6701000100
12David UllstromFlamesLW799192816200804711336667.96%2686410.940000210141063056.25%161516000.6500000003
13Esa LindellFlamesD8041822-916069888840404.55%68133016.633478181000241010.00%02933000.3300000001
14Colby RobakFlamesD80316191068057945928355.08%60131116.40000030001203200.00%01038000.2901000110
15Christian FolinFlamesD8031518044080907635413.95%94162320.2912381210000244000.00%03357000.2200000000
16Anders LeeFlamesC809716140623951232217.65%156868.580000101013851045.50%2221013000.4711000110
17Jake DeBruskFlamesLW547714-1716057407220439.72%1265312.111346136000071037.04%271711000.4300000003
18Brendan MikkelsonFlamesD802810-130055845622213.57%63127015.880004640003229100.00%01355000.1600000001
19Vladimir SobotkaFlamesC2834711202212931433.33%32017.2100000000040033.33%1202000.6900000000
20David SavardFlamesD6000-200341110.00%2416.930000000000000.00%001000.00%00000000
Statistiques d’équipe totales ou en moyenne14402965048001077075164015982566901135911.54%8592345616.296911118028323044711622278431850.62%4878560560340.68313000403642
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
1Henrik LundqvistFlames62282250.8923.353309401851714858200.545115921343
2Christopher GibsonFlames31151000.8973.1214990078759373510.00%02159220
Statistiques d’équipe totales ou en moyenne93433250.8943.284808402632473123171118080563


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Anders LeeFlamesC271990-01-01No225 Lbs6 ft2NoNoNo1Pro Only1,400,000$1,400,000$0$No
Brad MarchandFlamesLW291988-01-01No183 Lbs5 ft9NoNoNo1Pro Only4,000,000$4,000,000$0$No
Brendan MikkelsonFlamesD301987-01-01No205 Lbs6 ft3NoNoNo1Pro Only1,400,000$1,400,000$0$No
Bryan RustFlamesRW251992-01-01No192 Lbs5 ft11NoNoNo2Pro Only2,000,000$2,000,000$0$No2,000,000$
Christian FolinFlamesD261991-01-01No214 Lbs6 ft3NoNoNo3Pro Only1,500,000$1,500,000$0$No2,000,000$2,200,000$
Christopher GibsonFlamesG251992-01-01No190 Lbs6 ft1NoNoNo2Pro Only1,900,000$1,900,000$0$No2,400,000$
Colby RobakFlamesD271990-01-01No194 Lbs6 ft3NoNoNo2Pro Only1,800,000$1,800,000$0$No2,100,000$
Colin WilsonFlamesC281989-01-01No210 Lbs6 ft1NoNoNo2Pro Only3,000,000$3,000,000$0$No3,500,000$
David SavardFlamesD271990-01-01No219 Lbs6 ft2NoNoNo2Pro & Farm1,800,000$1,800,000$0$No2,000,000$
David UllstromFlamesLW281989-01-01No192 Lbs6 ft3NoNoNo1Pro Only2,100,000$2,100,000$0$No
Eric StaalFlamesC331984-01-01No205 Lbs6 ft4NoNoNo3Pro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$
Erik JohnsonFlamesD291988-01-01No232 Lbs6 ft4NoNoNo1Pro Only5,500,000$5,500,000$0$No
Esa LindellFlamesD231994-01-01No187 Lbs6 ft3NoNoNo4Pro Only2,000,000$2,000,000$0$No3,000,000$3,500,000$4,000,000$Lien
Henrik LundqvistFlamesG351982-01-01No198 Lbs6 ft1NoNoNo2Pro Only4,000,000$4,000,000$0$No3,000,000$
Jake DeBruskFlamesLW211996-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm975,000$975,000$0$No2,000,000$Lien
Jimmy HayesFlamesRW281989-01-01No221 Lbs6 ft6NoNoNo2Pro Only2,000,000$2,000,000$0$No2,500,000$
Kevin LabancFlamesRW211996-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm1,200,000$1,200,000$0$No1,900,000$2,800,000$Lien
Kyle PalmieriFlamesRW261991-01-01No195 Lbs5 ft11NoNoNo1Pro Only1,800,000$1,800,000$0$No
Nathan LieuwenFlamesG261991-01-01No189 Lbs6 ft5NoNoNo1Pro & Farm700,000$700,000$0$No
Patrik BerglundFlamesC291988-01-01No218 Lbs6 ft4NoNoNo1Pro Only3,500,000$3,500,000$0$No
Sami VatanenFlamesD261991-01-01No183 Lbs5 ft10NoNoNo2Pro Only3,500,000$3,500,000$0$No4,000,000$
Tanner PearsonFlamesLW251992-01-01No193 Lbs6 ft0NoNoNo4Pro Only2,000,000$2,000,000$0$No2,500,000$3,000,000$3,500,000$Lien
Vladimir SobotkaFlamesC301987-01-01No183 Lbs5 ft10NoNoNo1Pro Only985,000$985,000$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.13200 Lbs6 ft21.912,350,435$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
54,060,000$37,900,000$16,500,000$7,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandEric StaalBryan Rust38122
2Tanner PearsonPatrik BerglundJimmy Hayes33122
3David UllstromColin WilsonKyle Palmieri19122
4Vladimir SobotkaAnders LeeKevin Labanc10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen40122
2Esa LindellChristian Folin30122
3Colby RobakBrendan Mikkelson20122
4Erik JohnsonSami Vatanen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandPatrik BerglundJimmy Hayes60122
2Tanner PearsonEric StaalBryan Rust40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen60122
2Esa LindellChristian Folin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eric StaalBrad Marchand60131
2Patrik BerglundBryan Rust40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen60131
2Colby RobakChristian Folin40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eric Staal60131Erik JohnsonSami Vatanen60131
2Patrik Berglund40131Colby RobakChristian Folin40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrik BerglundBrad Marchand60122
2Eric StaalBryan Rust40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen60122
2Esa LindellChristian Folin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandEric StaalJimmy HayesErik JohnsonSami Vatanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandEric StaalBryan RustErik JohnsonSami Vatanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrik Berglund, Brad Marchand, Tanner PearsonTanner Pearson, Bryan RustKyle Palmieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Folin, Colby Robak, Esa LindellEsa LindellBrendan Mikkelson, Colby Robak
Tirs de pénalité
Tanner Pearson, Eric Staal, Jimmy Hayes, Patrik Berglund, Anders Lee
Gardien
#1 : Henrik Lundqvist, #2 : Christopher Gibson


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
1Avalanche2110000010821010000045-11100000063320.50010152500433059151925055182247600.00%11463.64%0924182850.55%913181650.28%632123451.22%412241183617
2Blackhawks32100000151052200000013671010000024-240.667152641007260933022410872222719222.22%110100.00%0924182850.55%913181650.28%632123451.22%633662285325
3Blue Jackets31100100910-11010000015-42100010085330.500915240032408925293418422285714321.43%14471.43%0924182850.55%913181650.28%632123451.22%603265295627
4Blues20200000311-81010000034-11010000007-700.000358001200602019210752916376116.67%8275.00%0924182850.55%913181650.28%632123451.22%382147173316
5Bruins3300000016971100000052322000000117461.00016284400349010231333801023541589333.33%14378.57%0924182850.55%913181650.28%632123451.22%643765265024
6Canadiens303000001115-41010000045-120200000710-300.0001115260051508732253001003220801300.00%10460.00%0924182850.55%913181650.28%632123451.22%613365275327
7Canucks2000010168-21000000123-11000010045-120.50061016000420562221124512022386233.33%11463.64%1924182850.55%913181650.28%632123451.22%422143203919
8Capitals20100100811-31010000046-21000010045-110.25081523003230642123200672224424125.00%12375.00%0924182850.55%913181650.28%632123451.22%382047193416
9Devils20200000312-91010000015-41010000027-500.00036900021053241613058193237400.00%16381.25%0924182850.55%913181650.28%632123451.22%402145193416
10Flyers733010002018231101000862422000001212080.57120345410510412126873701201644016518316.67%21195.24%0924182850.55%913181650.28%632123451.22%141761506412764
11Golden Knights2110000069-31010000038-51100000031220.50061016001410581426180731714399333.33%7271.43%0924182850.55%913181650.28%632123451.22%382045183518
12Islanders3110000111110211000008711000000134-130.50011162700443311642324289534205710330.00%10280.00%0924182850.55%913181650.28%632123451.22%643766285427
13Jets321000009902110000056-11100000043140.6679162500144010032353309238286710330.00%14378.57%0924182850.55%913181650.28%632123451.22%623767265024
14Kings129300000532825642000002011965100000331716180.75053911440014251403881301251330361131114213611626.23%57591.23%2924182850.55%913181650.28%632123451.22%258145251110210103
15Lightning220000001165110000005141100000065141.000112132004250662321220501120385120.00%10190.00%0924182850.55%913181650.28%632123451.22%452739173517
16Maple Leafs624000001925-6312000001016-63120000099040.3331933520047801857851560198827012126519.23%35780.00%0924182850.55%913181650.28%632123451.22%121691325810548
17Oilers312000008802020000036-31100000052320.3338142200233010836343801133626546116.67%13284.62%0924182850.55%913181650.28%632123451.22%653868254721
18Panthers2020000069-31010000045-11010000024-200.00061117001230822132290573114509222.22%7185.71%0924182850.55%913181650.28%632123451.22%452741163317
19Penguins20200000611-51010000024-21010000047-300.000610160013206515331706215203610330.00%10190.00%0924182850.55%913181650.28%632123451.22%392145193516
20Predators3300000016881100000043122000000125761.00016294500466010432333909152226517529.41%11463.64%0924182850.55%913181650.28%632123451.22%623666275125
21Rangers22000000743110000003121100000043141.00071219003220601718250592112439222.22%60100.00%1924182850.55%913181650.28%632123451.22%422442193518
22Red Wings321000001367211000006511100000071640.66713203300292010124453208638245012433.33%12191.67%0924182850.55%913181650.28%632123451.22%613566275124
23Senateurs330000001046220000007341100000031261.0001017270053209933363001092926618225.00%13192.31%0924182850.55%913181650.28%632123451.22%593167275225
24Sharks3210000011101110000004222110000078-140.6671121320035308935302409731207613323.08%110100.00%0924182850.55%913181650.28%632123451.22%643562285326
25Stars21001000963110000004221000100054141.00091423001341701924261511014386116.67%7185.71%0924182850.55%913181650.28%632123451.22%422442193718
Total80413202302296266304019190100113312764022130130116313924910.5692965048001081114995256683985586815247485971116403006923.00%3515983.19%4924182850.55%913181650.28%632123451.22%166693717397441410690
_Since Last GM Reset80413202302296266304019190100113312764022130130116313924910.5692965048001081114995256683985586815247485971116403006923.00%3515983.19%4924182850.55%913181650.28%632123451.22%166693717397441410690
_Vs Conference52302001100194151432614110100085741126169001001097732630.60619433152510557761116555555385602161957744010802074722.71%2223285.59%2924182850.55%913181650.28%632123451.22%10826091126482913446
_Vs Division2514100100092712112650100038335138500000543816300.6009215825010234226178527624925917602772244991052422.86%1131388.50%2924182850.55%913181650.28%632123451.22%522291534233443216

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8091L229650480025662474859711164010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8041322302296266
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4019191001133127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4022131301163139
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
3006923.00%3515983.19%4
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
8398558681581114995
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
924182850.55%913181650.28%632123451.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166693717397441410690


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-10-2811Flames1Flyers5ALSommaire du match
4 - 2022-10-3021Kings1Flames6BWR1Sommaire du match
5 - 2022-10-3126Flames8Kings3AWSommaire du match
9 - 2022-11-0442Kings1Flames3BWR1Sommaire du match
10 - 2022-11-0552Flames3Kings5ALSommaire du match
13 - 2022-11-0866Kings3Flames4BWR1Sommaire du match
15 - 2022-11-1078Flames6Kings1AWSommaire du match
16 - 2022-11-1179Flames3Flyers5ALSommaire du match
17 - 2022-11-1284Flames4Maple Leafs5ALSommaire du match
20 - 2022-11-15104Maple Leafs9Flames3BLSommaire du match
23 - 2022-11-18122Flames6Blue Jackets2AWSommaire du match
25 - 2022-11-20128Flames5Kings3AWR1Sommaire du match
26 - 2022-11-21132Flyers3Flames2BLSommaire du match
29 - 2022-11-24154Kings3Flames1BLR1Sommaire du match
31 - 2022-11-26160Flames4Flyers1AWSommaire du match
34 - 2022-11-29179Islanders3Flames5BWSommaire du match
38 - 2022-12-03204Jets1Flames4BWSommaire du match
41 - 2022-12-06217Flames2Blackhawks4ALSommaire du match
44 - 2022-12-09228Canadiens5Flames4BLSommaire du match
46 - 2022-12-11235Flames2Panthers4ALSommaire du match
49 - 2022-12-14254Rangers1Flames3BWSommaire du match
53 - 2022-12-18276Islanders4Flames3BLSommaire du match
57 - 2022-12-22295Flames2Devils7ALSommaire du match
59 - 2022-12-24304Panthers5Flames4BLSommaire du match
62 - 2022-12-27321Flames3Golden Knights1AWSommaire du match
63 - 2022-12-28330Penguins4Flames2BLSommaire du match
67 - 2023-01-01351Flames2Blue Jackets3ALXSommaire du match
68 - 2023-01-02356Stars2Flames4BWSommaire du match
72 - 2023-01-06378Blues4Flames3BLSommaire du match
74 - 2023-01-08388Flames0Blues7ALSommaire du match
76 - 2023-01-10399Flyers2Flames3BWXSommaire du match
78 - 2023-01-12409Flames3Senateurs1AWSommaire du match
81 - 2023-01-15427Flyers1Flames3BWSommaire du match
84 - 2023-01-18441Flames4Penguins7ALSommaire du match
86 - 2023-01-20449Flames2Sharks5ALSommaire du match
88 - 2023-01-22458Avalanche5Flames4BLSommaire du match
90 - 2023-01-24467Flames7Red Wings1AWSommaire du match
92 - 2023-01-26483Flames4Rangers3AWSommaire du match
93 - 2023-01-27488Lightning1Flames5BWSommaire du match
97 - 2023-01-31507Jets5Flames1BLSommaire du match
102 - 2023-02-05532Bruins2Flames5BWSommaire du match
104 - 2023-02-07549Flames2Maple Leafs3ALSommaire du match
106 - 2023-02-09558Blue Jackets5Flames1BLSommaire du match
111 - 2023-02-14581Capitals6Flames4BLSommaire du match
114 - 2023-02-17601Kings2Flames1BLR1Sommaire du match
116 - 2023-02-19610Flames6Kings3AWSommaire du match
119 - 2023-02-22627Oilers2Flames1BLSommaire du match
122 - 2023-02-25638Flames4Capitals5ALXSommaire du match
125 - 2023-02-28655Senateurs2Flames3BWSommaire du match
127 - 2023-03-02668Flames5Stars4AWXSommaire du match
129 - 2023-03-04679Sharks2Flames4BWSommaire du match
131 - 2023-03-06690Flames4Flyers1AWSommaire du match
133 - 2023-03-08705Devils5Flames1BLSommaire du match
135 - 2023-03-10718Flames3Islanders4ALXXSommaire du match
137 - 2023-03-12728Flames4Canucks5ALXSommaire du match
139 - 2023-03-14737Predators3Flames4BWSommaire du match
141 - 2023-03-16753Flames3Maple Leafs1AWSommaire du match
143 - 2023-03-18761Maple Leafs2Flames5BWSommaire du match
148 - 2023-03-23784Red Wings4Flames3BLSommaire du match
150 - 2023-03-25794Flames5Sharks3AWSommaire du match
152 - 2023-03-27808Flames6Lightning5AWSommaire du match
153 - 2023-03-28815Red Wings1Flames3BWSommaire du match
157 - 2023-04-01833Flames5Oilers2AWSommaire du match
159 - 2023-04-03839Canucks3Flames2BLXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
164 - 2023-04-08863Kings1Flames5BWR1Sommaire du match
165 - 2023-04-09875Flames4Predators3AWSommaire du match
168 - 2023-04-12888Oilers4Flames2BLSommaire du match
170 - 2023-04-14897Flames6Avalanche3AWSommaire du match
173 - 2023-04-17913Senateurs1Flames4BWSommaire du match
175 - 2023-04-19923Flames5Kings2AWR1Sommaire du match
177 - 2023-04-21933Flames4Jets3AWSommaire du match
179 - 2023-04-23943Blackhawks1Flames7BWSommaire du match
181 - 2023-04-25952Flames8Predators2AWSommaire du match
183 - 2023-04-27967Blackhawks5Flames6BWSommaire du match
186 - 2023-04-30978Flames7Bruins4AWSommaire du match
189 - 2023-05-03993Golden Knights8Flames3BLSommaire du match
191 - 2023-05-051005Flames2Canadiens4ALSommaire du match
192 - 2023-05-061009Flames4Bruins3AWSommaire du match
195 - 2023-05-091024Maple Leafs5Flames2BLSommaire du match
196 - 2023-05-101029Flames5Canadiens6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance231,306191,84076,838155,64438,726
Attendance PCT96.38%95.92%96.05%97.28%96.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17359 - 96.44% 1,407,791$56,311,626$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
56,003,427$ 54,060,000$ 36,160,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
271,658$ 54,003,291$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 281,709$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 35,483,994$ 35,483,994$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
54,003,291$ 44,480,703$ 98,483,994$ 19,003,291$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:29PO:26OV:76
Tanner PearsonAGE:25PO:44OV:74
Jake DeBrusk (R)AGE:21PO:60OV:73
Matthew NietoAGE:25PO:38OV:72
David UllstromAGE:28PO:29OV:72
Peter Cehlarik (R)AGE:22PO:52OV:68
Eric Karlsson (R)AGE:23PO:41OV:65
Jesper Bratt (R)AGE:19PO:71OV:64
Ivan Chekhovich (R)AGE:18PO:71OV:57
Radim Zohorna (R)AGE:21PO:55OV:57
Eric StaalAGE:33PO:18OV:78
Patrik BerglundAGE:29PO:26OV:76
Colin WilsonAGE:28PO:32OV:74
Anders LeeAGE:27PO:29OV:73
Victor Rask (R)AGE:24PO:44OV:71
Philip VaroneAGE:27PO:29OV:71
Vladimir SobotkaAGE:30PO:21OV:70
Ryan SpoonerAGE:25PO:36OV:68
Nico Sturm (R)AGE:22PO:49OV:67
Chris BrownAGE:26PO:29OV:66
Ryan Donato (R)AGE:21PO:53OV:64
Vladislav Kamenev (R)AGE:21PO:54OV:61
Skyler Brind'Amour (R)AGE:18PO:69OV:52
Bryan RustAGE:25PO:39OV:75
Jimmy HayesAGE:28PO:28OV:75
Kyle PalmieriAGE:26PO:34OV:74
Kevin Labanc (R)AGE:21PO:54OV:73
Evgeny Svechnikov (R)AGE:21PO:58OV:71
Barclay Goodrow (R)AGE:24PO:38OV:67
Taylor Raddysh (R)AGE:19PO:64OV:61
Tage Thompson (R)AGE:20PO:65OV:59

Défense #1Défense #2Gardien
Erik JohnsonAGE:29PO:30OV:78
Sami VatanenAGE:26PO:37OV:77
Esa LindellAGE:23PO:45OV:76
Christian FolinAGE:26PO:32OV:75
Colby RobakAGE:27PO:31OV:74
David SavardAGE:27PO:30OV:74
Brendan MikkelsonAGE:30PO:20OV:74
Rasmus Andersson (R)AGE:21PO:60OV:71
Mathieu BrodeurAGE:27PO:25OV:71
Frank Corrado (R)AGE:24PO:39OV:68
Trevor Carrick (R)AGE:23PO:35OV:66
Petteri Lindbohm (R)AGE:24PO:37OV:65
John Gilmour (R)AGE:24PO:34OV:65
Dominik Masin (R)AGE:21PO:53OV:63
Christian Jaros (R)AGE:21PO:47OV:62
Brandon Hickey (R)AGE:21PO:42OV:62
Erik Brannstrom (R)AGE:18PO:85OV:60
Darren Raddysh (R)AGE:21PO:55OV:60
Henrik LundqvistAGE:35PO:13OV:80
Christopher GibsonAGE:25PO:36OV:77
Michael HutchinsonAGE:27PO:26OV:74
Nathan LieuwenAGE:26PO:28OV:64
Vitek VanecekAGE:21PO:51OV:62
Collin Delia (R)AGE:23PO:61OV:58

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

Choix au repêchage

Année R1R2R3R4R5
3
4
5
6
7






Flames Historique de transactions

[2023-05-14 10:12:48 AM] - New Record for Team's Most Points (23) in 1 Game for Flames!
[2023-05-14 10:12:48 AM] - New Record for Team's Most Assists (15) in 1 Game for Flames!
[2022-12-17 7:14:50 PM] - New Record for Team's Most Shots Blocked (22) in 1 Game for Flames!
[2022-11-03 7:29:55 PM] - New Record for Team's Most Points (21) in 1 Game for Flames!



[2023-05-29 7:44:14 PM] Last 7 Days Farm Star : 1 - Zac Dalpe of Monsters (5-6-11) / 2 - Alex Tuch of Sound Tigers (4-4-8) / 3 - Victor Rask of Heat (4-3-7)
[2023-05-29 7:44:12 PM] Farm Game #1005 - Victor Rask from Heat has scored a Hat Trick!
[2023-05-27 9:32:44 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-24 9:17:00 PM] Frank Corrado from Heat is back from Sore Right Knee Injury.
[2023-05-24 9:16:29 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-24 9:12:47 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-22 11:49:56 AM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-19 11:26:55 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-16 9:10:34 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-16 9:10:10 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-14 10:12:48 AM] New Record for Team's Most Points (23) in 1 Game for Flames!
[2023-05-14 10:12:48 AM] New Record for Team's Most Assists (15) in 1 Game for Flames!
[2023-05-12 9:24:51 PM] Last 30 Days Pro Star : 1 - Ryan Johansen of Jets (11-19-30) / 2 - Jimmy Hayes of Flames (13-10-23) / 3 - Alex Galchenyuk of Jets (13-14-27)
[2023-05-11 7:23:51 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-11 7:19:44 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-07 11:21:32 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-05 10:48:02 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-05-03 7:31:28 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-04-29 9:49:26 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-04-29 11:32:07 AM] Game 852 - Frank Corrado from Heat is injured (Sore Right Knee) and is out for 2 months.
[2023-04-26 8:05:19 PM] Brandon Hickey from Heat is back from Sprained Left Ankle Injury.
[2023-04-25 8:00:39 PM] Farm Game #837 - Barclay Goodrow from Heat has scored a Hat Trick!



Pas de blessure ou de suspension.


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

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 (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