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Connexion

Flames
GP: 10 | W: 4 | L: 6
GF: 30 | GA: 33 | PP%: 18.18% | PK%: 82.22%
DG: Steve Landry | Morale : 99 | Moyenne d’équipe : 74
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Centre de jeu
Flames
4-6-0, 8pts
1
FINAL
4 Canadiens
15-8-0, 30pts
Team Stats
L4StreakL2
2-3-0Home Record7-3-0
2-3-0Away Record8-5-0
4-5-1Last 10 Games5-4-1
3.00Buts par match 3.00
3.30Buts contre par match 2.39
18.18%Pourcentage en avantage numérique14.56%
82.22%Pourcentage en désavantage numérique82.14%
Flames
4-6-0, 8pts
2
FINAL
5 Canadiens
15-8-0, 30pts
Team Stats
L4StreakL2
2-3-0Home Record7-3-0
2-3-0Away Record8-5-0
4-5-1Last 10 Games5-4-1
3.00Buts par match 3.00
3.30Buts contre par match 2.39
18.18%Pourcentage en avantage numérique14.56%
82.22%Pourcentage en désavantage numérique82.14%
Meneurs d'équipe
Buts
Eric Staal
6
Passes
Eric Staal
7
Points
Eric Staal
13
Plus/Moins
Brendan Mikkelson
4
Victoires
Henrik Lundqvist
2
Pourcentage d’arrêts
Henrik Lundqvist
0.899

Statistiques d’équipe
Buts pour
30
3.00 GFG
Tirs pour
334
33.40 Avg
Pourcentage en avantage numérique
18.2%
6 GF
Début de zone offensive
39.9%
Buts contre
33
3.30 GAA
Tirs contre
325
32.50 Avg
Pourcentage en désavantage numérique
82.2%%
8 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
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure32
Limite contact 55 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible106,053,740$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour7,302,500$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel43,053,740$
Compte bancaire projeté43,053,740$


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)X100.0075547674757384858079777584939918767813335,000,000$
2Brad MarchandX100.0077458180837975747478787581745726767602914,000,000$
3Patrik BerglundX100.0075278973818182768176857376755826767612913,500,000$
4Bryan RustX100.0071258575798979727778787769675439767502522,000,000$
5Jimmy HayesX100.0081447875766980807477817565716528767502822,000,000$
6Colin WilsonX100.0074248477867980758474776579666332767402823,000,000$
7Tanner PearsonX100.0069289279817982776367846578696744767402542,000,000$
8Anders LeeX100.0081268577767671727269826872666429767302711,400,000$
9Kevin Labanc (R)X100.0064277987777377827274736684605254777302131,200,000$
10David UllstromX100.0074218072838173787282667166666129777202812,100,000$
11Vladimir SobotkaX100.006538737272787072727272726472582149700301985,000$
12Erik Johnson (A)X100.0073477678818691816981798469875330767812915,500,000$
13Sami VatanenX100.0077368682808488826178797171775037767712623,500,000$
14Esa LindellX100.0072298783767982835185707365704945767602342,000,000$
15Christian FolinX100.0068318180777880866178628162686032767502631,500,000$
16Brendan MikkelsonX100.0070388073757674685876658468735820767403011,400,000$
17Colby RobakX100.0075367672807979736780707868735331767402721,800,000$
18David SavardX100.0078427675777976706368727668796130257402721,800,000$
Rayé
1Kyle PalmieriX100.0073247879788082837374747177585434497402611,800,000$
2Jake DeBrusk (R)X100.007852827679787672707479687258476023730212975,000$
Équipe Mineure
1Matthew NietoX100.007328797077817975748072647268633872720251950,000$
2Evgeny Svechnikov (R)X100.006932866886767772757088527054465874710212900,000$
3Philip VaroneX100.007124717273757875797672626673652954710271900,000$
4Victor Rask (R)X100.007234787376747573767179637660504457710242950,000$
5Peter Cehlarik (R)X100.006744797165727172737470597048465262680223800,000$
6Ryan SpoonerX100.006431757374737369757868616653483659680251850,000$
7Barclay Goodrow (R)X100.007629737168676868656971706446503874670241850,000$
8Nico Sturm (R)X100.006429877175777663717356686848494969670221500,000$
9Chris BrownX100.006342807369707263605682536950502960660261750,000$
10Jesper Bratt (R)X100.006047706963716768716967557041427153640191500,000$
11Tage Thompson (R)X100.005532836762756251626949595744436574590201500,000$
12Mathieu BrodeurX100.007228856872747472487157775969542559710271850,000$
13Rasmus Andersson (R)X100.007137828165667281427965725455476057710212950,000$
14Frank Corrado (R)X100.006940736976757473577059686057503949680243800,000$
15Petteri Lindbohm (R)X100.005839746164666972456670675547523734650241600,000$
16Dominik Masin (R)X100.006431846567626853296042755046445359630213600,000$
17Brandon Hickey (R)X100.006227825960596050336642764943434250620212600,000$
18Christian Jaros (R)X100.006529756260595660326744705043444731620213600,000$
19Eric Karlsson (R)X100.008033726777666862636471615447474162650233650,000$
20Ryan Donato (R)X100.007237736278647065716473476543435321640211600,000$
21Vladislav Kamenev (R)X100.006928714971656767585774567143435421610211600,000$
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$
26Trevor Carrick (R)X100.006038748063647475397455654146473521660231600,000$
27John Gilmour (R)X100.006932756661746673507156645647493420650242700,000$
28Erik Brannstrom (R)X100.004829676944426982338057673340408557600182500,000$
29Darren Raddysh (R)X100.006124906356666045446635653749455520600212500,000$
MOYENNE D’ÉQUIPE100.00683479707272737062716866645852435569
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 Lundqvist100.008191777878787783787877929913768023524,000,000$
2Christopher Gibson100.007681777673768083807871615736767712521,900,000$
Rayé
1Nathan Lieuwen100.00666662596269606767616261612821640261700,000$
Équipe Mineure
1Michael Hutchinson100.00727874737673737877697265632674740271975,000$
2Vitek Vanecek100.00626867585871765156746144445174620212600,000$
3Collin Delia (R)100.00715263706855495761536641416120580231500,000$
MOYENNE D’ÉQUIPE100.0071737069697069707069686161365769
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
1Eric StaalFlamesC1067132100121544152313.64%121321.392025210000340055.85%26543001.2200000120
2Brad MarchandFlamesLW10358110018153217279.38%622222.220224270000331035.00%20105000.7200000110
3Erik JohnsonFlamesD10268-38020182110109.52%1327927.98224329000034000.00%096000.5700000002
4Patrik BerglundFlamesC10268-52013141882011.11%418618.660334280000150055.33%19762000.8600000001
5Sami VatanenFlamesD10268-3001718218189.52%1428428.45101429000039200.00%0810000.5600000100
6Tanner PearsonFlamesLW10167-4201110236174.35%716216.25000222000020050.00%643000.8600000001
7Bryan RustFlamesRW102463601211267177.69%319519.550221210002150060.00%1023000.6100000000
8David UllstromFlamesLW10134140101116366.25%312612.650000200011100100.00%304000.6300000001
9Jimmy HayesFlamesRW10224-514012102916196.90%416616.61112528000000035.71%1482000.4800000000
10Anders LeeFlamesC10123120123223174.55%2868.6900002000170146.67%3070000.6900000000
11Christian FolinFlamesD10303-3100711136323.08%1220120.17000221000325000.00%015000.3000000000
12Colin WilsonFlamesC101231206511399.09%310910.9300000000000040.68%5931000.5500000001
13Kevin LabancFlamesRW10123220122154166.67%210410.5000001000000050.00%252000.5700000000
14Brendan MikkelsonFlamesD1010140061183212.50%812912.9300001000010100.00%011000.1500000010
15Colby RobakFlamesD1001144010108220.00%1114914.9600000000028000.00%017000.1300000000
16David SavardFlamesD810102010250020.00%1627.8200000000000050.00%200000.3200000000
17Esa LindellFlamesD10011-2606813480.00%517217.2400032100000000.00%035000.1200000000
18Vladimir SobotkaFlamesC1010116011572714.29%2939.33000000000140056.25%1611000.2100000000
19Kyle PalmieriFlamesRW2000000122100.00%0168.480000000001000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne180305383-59002061813341182218.98%101296416.47610163326000072734152.88%6247360000.5600000346
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
1Christopher GibsonFlames42100.8973.03218001110757000.00%037000
2Henrik LundqvistFlames72410.8993.403880022218109000.00%073100
Statistiques d’équipe totales ou en moyenne114510.8983.2660700333251660001010100


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 Rust38023
2Tanner PearsonPatrik BerglundJimmy Hayes33023
3David UllstromColin WilsonKevin Labanc19023
4Vladimir SobotkaAnders LeeDavid Savard10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen40032
2Colby RobakChristian Folin30032
3Esa LindellBrendan Mikkelson20032
4Erik JohnsonSami Vatanen10032
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 LindellBrendan Mikkelson40122
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 RustVladimir Sobotka
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
1Canadiens40400000615-92020000036-32020000039-600.0006814003210116335231014240348717317.65%17382.35%012424949.80%12423253.45%8214357.34%864985346734
2Sharks6420000024186321000001284321000001210280.66724456900861002186666833183615611916318.75%28582.14%012424949.80%12423253.45%8214357.34%132761285810750
Total1046000003033-35230000015141523000001519-480.400305383001181103349911811433251019020633618.18%45882.22%012424949.80%12423253.45%8214357.34%2191262149217485
_Since Last GM Reset1046000003033-35230000015141523000001519-480.400305383001181103349911811433251019020633618.18%45882.22%012424949.80%12423253.45%8214357.34%2191262149217485
_Vs Conference1046000003033-35230000015141523000001519-480.400305383001181103349911811433251019020633618.18%45882.22%012424949.80%12423253.45%8214357.34%2191262149217485

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L43053833343251019020600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600003033
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001514
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001519
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
33618.18%45882.22%0
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
991181143118110
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
12424949.80%12423253.45%8214357.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2191262149217485


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
1 - 2022-10-272Sharks3Flames6BWSommaire du match
2 - 2022-10-2810Sharks2Flames4BWSommaire du match
3 - 2022-10-2918Flames3Sharks1AWSommaire du match
4 - 2022-10-3026Flames3Sharks7ALSommaire du match
5 - 2022-10-3134Sharks3Flames2BLXSommaire du match
6 - 2022-11-0142Flames6Sharks2AWSommaire du match
8 - 2022-11-0357Canadiens3Flames2BLSommaire du match
9 - 2022-11-0461Canadiens3Flames1BLSommaire du match
10 - 2022-11-0565Flames1Canadiens4ALSommaire du match
11 - 2022-11-0669Flames2Canadiens5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance30,00025,00010,00020,0005,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 18000 - 100.00% 1,460,500$7,302,500$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 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
0$ 0$ 0$ 23 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 43,053,740$ 43,053,740$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 106,053,740$ 106,053,740$ -35,000,000$



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

[2023-06-17 7:54:13 PM] - Flames was eliminated at round 2 of year 2.
[2023-06-11 9:19:48 PM] - Heat was eliminated at round 1 of year 2.
[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!



[2023-06-17 7:53:51 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-16 7:23:12 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-15 11:15:22 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-12 10:58:38 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-10 8:20:51 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-09 7:00:58 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-08 7:56:27 PM] Kyle Palmieri from Flames is back from Sprained Left Finger Injury.
[2023-06-08 7:56:18 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-08 7:52:10 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-06-07 8:07:12 PM] Game 2 - Kyle Palmieri from Flames is injured (Sprained Left Finger) and is out for 1 week.
[2023-06-07 8:07:02 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[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.



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