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Flames
GP: 7 | W: 3 | L: 4
GF: 20 | GA: 23 | PP%: 14.81% | PK%: 81.25%
DG: Steve Landry | Morale : 99 | Moyenne d’équipe : 76
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Centre de jeu
Flames
3-4-0, 6pts
4
FINAL
3 Flyers
7-7-0, 14pts
Team Stats
L1SéquenceL1
1-3-0Fiche domicile4-2-0
2-1-0Fiche visiteur3-5-0
3-3-1Derniers 10 matchs5-5-0
2.86Buts par match 3.36
3.29Buts contre par match 3.29
14.81%Pourcentage en avantage numérique15.09%
81.25%Pourcentage en désavantage numérique83.33%
Flyers
7-7-0, 14pts
4
FINAL
2 Flames
3-4-0, 6pts
Team Stats
L1SéquenceL1
4-2-0Fiche domicile1-3-0
3-5-0Fiche visiteur2-1-0
5-5-0Derniers 10 matchs3-3-1
3.36Buts par match 2.86
3.29Buts contre par match 3.29
15.09%Pourcentage en avantage numérique14.81%
83.33%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Buts
Eric Staal
4
Passes
Eric Staal
4
Points
Eric Staal
8
Plus/Moins
Kyle Palmieri
2
Victoires
Christopher Gibson
3
Pourcentage d’arrêts
Henrik Lundqvist
0.917

Statistiques d’équipe
Buts pour
20
2.86 GFG
Tirs pour
229
32.71 Avg
Pourcentage en avantage numérique
14.8%
4 GF
Début de zone offensive
35.1%
Buts contre
23
3.29 GAA
Tirs contre
232
33.14 Avg
Pourcentage en désavantage numérique
81.3%%
6 GA
Début de la zone défensive
42.4%
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 Pro24
Équipe Mineure32
Limite contact 56 / 250
Espoirs0


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible109,379,145$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24


Finance

Revenu annuel à ce jour5,842,000$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel43,379,145$
Compte bancaire projeté43,379,145$


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)X100.0075547977757787877977797486949916797913425,000,000$
2Jimmy HayesX100.0083447676807282847281857667747025797802912,500,000$
3Brad MarchandX100.0079457978857879747678817784796324797703035,000,000$
4Bryan RustX100.0070258778798882747782807974715635797702612,000,000$
5Patrik BerglundX100.0078278775808084777979847579806223797713045,000,000$
6Tanner PearsonX100.0069289480828083816771876581736940797602632,500,000$
7Jake DeBruskX100.0079528377807977757276817073604955797502212,000,000$
8Kevin LabancX100.0067278086807880847477756886635349797502221,900,000$
9Kyle PalmieriX100.0072248078818183847576767379595731797502722,500,000$
10Anders LeeX100.0082268479747771737470836773686526797402811,500,000$
11David UllstromX100.0075218172818276807381657568686226797402912,500,000$
12Victor RaskX100.0074347975757877757571816678645540297302511,300,000$
13Erik Johnson (A)X100.0074477881828489806982818667905427798013046,000,000$
14Sami VatanenX100.0076368584838589846480817473825334797912714,000,000$
15Christian FolinX100.0071318382788183886480648362746229617702722,000,000$
16Esa LindellX100.0075298882798082855486737567735141797702433,000,000$
17Colby RobakX100.0077367975817978757082727870765628787602812,100,000$
18David SavardX100.0078427876788078716569727670806227667402812,000,000$
Rayé
1Colin WilsonX100.0075248278878081778574796378686429657502913,500,000$
2Matthew NietoX100.0072288070798381777379746470726935207302621,000,000$
3Chris BrownX100.006442817470717365615479557053532719660271800,000$
4Mathieu BrodeurX100.007428867074757373507258796074572320730281925,000$
Équipe Mineure
1Evgeny Svechnikov (R)X100.007232887287787775787190577160505382740221975,000$
2Peter Cehlarik (R)X100.006944807368747374757672617252484876700232850,000$
3Barclay GoodrowX100.007929756973707171676971726654523561690252900,000$
4Nico Sturm (R)X100.006629877278787765727559697051504584690233750,000$
5Ryan SpoonerX100.006431767473727768767966636555513384680261900,000$
6Jesper Bratt (R)X100.006546747370757171747270617347446484680203750,000$
7Eric Karlsson (R)X100.007833747078707065656773595650503884660242750,000$
8Ryan Donato (R)X100.007438756480657166746775496744444784660223800,000$
9Vladislav Kamenev (R)X100.007131735172666869605975577344444882630223700,000$
10Tage Thompson (R)X100.005932846965786556657254625946455977620213700,000$
11Vitali Kravtsov (R)X100.006943726262587063616065536442416776610192500,000$
12Rasmus Andersson (R)X100.0075378381727376834681687458634854727402211,500,000$
13Frank CorradoX100.007140757277747671596961716062533672700252850,000$
14Dominik Masin (R)X100.006831877071697257356346795353464846670222650,000$
15Trevor Carrick (R)X100.006238758166667576427555674449503233670243700,000$
16Erik Brannstrom (R)X100.005529727455537485418362724046427476660191500,000$
17Petteri LindbohmX100.006039756467677071466871695749543464660253750,000$
18Christian Jaros (R)X100.006729776562616265367150725445464373650222650,000$
19Taylor Raddysh (R)X100.005946806470706070696267586743435983640201500,000$
20Ivan Chekhovich (R)X100.006325754876555961586077376541416330590191500,000$
21Radim Zohorna (R)X100.005739746170736260555669445747454830590223600,000$
22Skyler Brind'Amour (R)X100.004433765154695647545554555441416230530191500,000$
23Demetrios Koumontzis (R)X100.004128605549545055676258304740405827520182500,000$
24Filip Hallander (R)X100.004529675847494356445948394440406827500182500,000$
25John GilmourX100.007034776863766975517257665848503030670251800,000$
26Brandon Hickey (R)X100.006627846364646455366947785348453874650221600,000$
27Darren Raddysh (R)X100.006325926560696348456737663950464830620221500,000$
28Tim Berni (R)X100.005827574051495557185750343140406027480182500,000$
MOYENNE D’ÉQUIPE100.00693479717272737162716965655953426369
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
1Christopher Gibson100.007482767876788282798071646033807812612,400,000$
2Henrik Lundqvist100.008191747574787379747877939912807723613,000,000$
Rayé
Équipe Mineure
1Michael Hutchinson98.00707975757474747678717371662487740282995,000$
2Vitek Vanecek100.00637067606173775459766246464754650221600,000$
3Collin Delia100.00725765726958515863556742425436600243700,000$
4Joel Hofer (R)100.00665263746950435861537240406956570182500,000$
MOYENNE D’ÉQUIPE99.6771727072716967686969705959406669
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff87647578888854CAN5412,000,000$


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 StaalFlamesC7448-220141538122010.53%714520.801122240001103045.13%19577001.1000000120
2Tanner PearsonFlamesLW7246-10035221039.09%411015.7101122100000000%232001.0900000001
3Brad MarchandFlamesLW7325-1140710166718.75%315322.000112251011200035.71%1435000.6500000100
4Jimmy HayesFlamesRW7145-360146176125.88%211015.75123624000000150.00%1012000.9100000100
5Bryan RustFlamesRW7044-10098164120%613218.98000000001200040.91%2252000.6000000001
6Erik JohnsonFlamesD7224-340714144514.29%918826.91000128000020000%017000.4200000000
7Patrik BerglundFlamesC72240401018113418.18%213519.321012220110260050.82%12232000.5900000000
8Christian FolinFlamesD703304071013140%613018.7001131900005000%020000.4600000000
9Kevin LabancFlamesRW72130409821679.52%19113.0301112100000000%032000.6600000000
10David SavardFlamesD7022260783030%810615.2300000000028000%011000.3800000000
11Esa LindellFlamesD71120203895311.11%812618.1110121800001000%034000.3200000001
12Kyle PalmieriFlamesRW720222032121616.67%2557.89000000000000100.00%130000.7200000001
13Sami VatanenFlamesD7112-3001211111039.09%1418927.03000028000120000%054000.2100000000
14Anders LeeFlamesC7011-1206109160%18311.9000000000080056.10%4102000.2400000000
15David UllstromFlamesLW7011240424330%1699.99000000000110050.00%231000.2900000000
16Colby RobakFlamesD7000260594300%410715.3000000000028000%01500000000000
17Colin WilsonFlamesC1000020010000%044.430000000000000%10000000000000
18Jake DeBruskFlamesLW7000-1206573100%37510.800000000003000%10200000000000
19Victor RaskFlamesC6000200542130%2488.0300000000000056.25%161100000000000
Statistiques d’équipe totales ou en moyenne126203252-6640131154229791118.73%83206416.3947112123711242073147.54%4274549000.5000000324
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 GibsonFlames63210.9033.14363001919595010061000
2Henrik LundqvistFlames10100.9173.00600033615000016000
Statistiques d’équipe totales ou en moyenne73310.9053.12423002223111001077000


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 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 Non Activé 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 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
Anders LeeFlamesC281990-01-01No225 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro Only1,500,000$1,500,000$0$No------------------
Brad MarchandFlamesLW301988-01-01No183 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$-------NoNo-------
Bryan RustFlamesRW261992-01-01No192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro Only2,000,000$2,000,000$0$No------------------
Chris BrownFlamesC271991-01-01No215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$No------------------
Christian FolinFlamesD271991-01-01No214 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro Only2,000,000$2,000,000$0$No2,200,000$--------No--------
Christopher GibsonFlamesG261992-01-01No190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only2,400,000$2,400,000$0$No------------------
Colby RobakFlamesD281990-01-01No194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro Only2,100,000$2,100,000$0$No------------------
Colin WilsonFlamesC291989-01-01No210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only3,500,000$3,500,000$0$No------------------
David SavardFlamesD281990-01-01No219 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$2,000,000$0$No------------------
David UllstromFlamesLW291989-01-01No192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro Only2,500,000$2,500,000$0$No------------------
Eric StaalFlamesC341984-01-01No205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$--------No--------
Erik JohnsonFlamesD301988-01-01No232 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$------NoNoNo------
Esa LindellFlamesD241994-01-01No187 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro Only3,000,000$3,000,000$0$No3,500,000$4,000,000$-------NoNo-------
Henrik LundqvistFlamesG361982-01-01No198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only3,000,000$3,000,000$0$No------------------
Jake DeBruskFlamesLW221996-01-01No188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$2,000,000$0$No------------------
Jimmy HayesFlamesRW291989-01-01No221 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro Only2,500,000$2,500,000$0$No------------------
Kevin LabancFlamesRW221996-01-01No185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,900,000$1,900,000$0$No2,800,000$--------No--------
Kyle PalmieriFlamesRW271991-01-01No195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro Only2,500,000$2,500,000$0$No2,500,000$--------No--------
Mathieu BrodeurFlamesD281990-01-01No215 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$No------------------
Matthew NietoFlamesLW261992-01-01No190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro Only1,000,000$1,000,000$0$No1,000,000$--------No--------
Patrik BerglundFlamesC301988-01-01No218 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$------NoNoNo------
Sami VatanenFlamesD271991-01-01No183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro Only4,000,000$4,000,000$0$No------------------
Tanner PearsonFlamesLW261992-01-01No193 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro Only2,500,000$2,500,000$0$No3,000,000$3,500,000$-------NoNo-------
Victor RaskFlamesC251993-01-01No200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$1,300,000$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.67202 Lbs6 ft21.712,684,375$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
64,425,000$36,000,000$23,500,000$11,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandEric StaalBryan Rust40122
2Tanner PearsonPatrik BerglundJimmy Hayes30122
3Jake DeBruskAnders LeeKevin Labanc20122
4David UllstromVictor RaskKyle Palmieri10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen40122
2Esa LindellChristian Folin30122
3Colby RobakDavid Savard20122
4Erik JohnsonSami Vatanen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandEric StaalJimmy Hayes60113
2Tanner PearsonPatrik BerglundKevin Labanc40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen60113
2Esa LindellChristian Folin40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Patrik BerglundBrad Marchand60122
2Eric StaalBryan Rust40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colby RobakDavid Savard60122
2Erik JohnsonSami Vatanen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eric Staal60122Erik JohnsonSami Vatanen60122
2Patrik Berglund40122Colby RobakDavid Savard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eric StaalBryan Rust60122
2Patrik BerglundBrad Marchand40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonSami Vatanen60122
2Esa LindellChristian Folin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandEric StaalBryan RustSami VatanenErik Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandEric StaalBryan RustSami VatanenErik Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Pearson, Jimmy Hayes, Patrik BerglundJake DeBrusk, Anders LeeBryan Rust
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Esa Lindell, Christian Folin, Colby RobakEsa LindellChristian Folin, David Savard
Tirs de pénalité
Eric Staal, Tanner Pearson, Jimmy Hayes, Kyle Palmieri, Patrik Berglund
Gardien
#1 : Christopher Gibson, #2 : Henrik Lundqvist
Lignes d’attaque personnalisées en prolongation
Eric Staal, Tanner Pearson, Patrik Berglund, Jimmy Hayes, Bryan Rust, Brad Marchand, Brad Marchand, Kyle Palmieri, Jake DeBrusk, Kevin Labanc, Victor Rask
Lignes de défense personnalisées en prolongation
Erik Johnson, Sami Vatanen, Christian Folin, Esa Lindell, David Savard


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
1Flyers734000002023-341300000812-4321000001211160.4292032521088402297989592232836413127414.81%32681.25%16115040.67%9618153.04%469647.92%148831536512262
Total734000002023-341300000812-4321000001211160.4292032521088402297989592232836413127414.81%32681.25%16115040.67%9618153.04%469647.92%148831536512262
_Since Last GM Reset734000002023-341300000812-4321000001211160.4292032521088402297989592232836413127414.81%32681.25%16115040.67%9618153.04%469647.92%148831536512262
_Vs Conference734000002023-341300000812-4321000001211160.4292032521088402297989592232836413127414.81%32681.25%16115040.67%9618153.04%469647.92%148831536512262
_Vs Division734000002023-341300000812-4321000001211160.4292032521088402297989592232836413127414.81%32681.25%16115040.67%9618153.04%469647.92%148831536512262

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1203252229232836413110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002023
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4130000812
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001211
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27414.81%32681.25%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
79895928840
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
6115040.67%9618153.04%469647.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
148831536512262


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
11Flyers2Flames3WSommaire du match
29Flyers3Flames2LXSommaire du match
317Flames6Flyers5WSommaire du match
425Flames2Flyers3LSommaire du match
533Flyers3Flames1LSommaire du match
641Flames4Flyers3WSommaire du match
749Flyers4Flames2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance24,00020,0008,00016,0004,000
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
36 18000 - 100.00% 1,460,500$5,842,000$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 64,425,000$ 46,700,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 2,068,290$ 24 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$ 43,379,145$ 43,379,145$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 109,379,145$ 109,379,145$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:30PO:24OV:77
Tanner PearsonAGE:26PO:40OV:76
Jake DeBruskAGE:22PO:55OV:75
David UllstromAGE:29PO:26OV:74
Matthew NietoAGE:26PO:35OV:73
Peter Cehlarik (R)AGE:23PO:48OV:70
Jesper Bratt (R)AGE:20PO:64OV:68
Eric Karlsson (R)AGE:24PO:38OV:66
Vitali Kravtsov (R)AGE:19PO:67OV:61
Ivan Chekhovich (R)AGE:19PO:63OV:59
Radim Zohorna (R)AGE:22PO:48OV:59
Demetrios Koumontzis (R)AGE:18PO:58OV:52
Eric StaalAGE:34PO:16OV:79
Patrik BerglundAGE:30PO:23OV:77
Colin WilsonAGE:29PO:29OV:75
Anders LeeAGE:28PO:26OV:74
Victor RaskAGE:25PO:40OV:73
Nico Sturm (R)AGE:23PO:45OV:69
Ryan SpoonerAGE:26PO:33OV:68
Ryan Donato (R)AGE:22PO:47OV:66
Chris BrownAGE:27PO:27OV:66
Vladislav Kamenev (R)AGE:22PO:48OV:63
Skyler Brind'Amour (R)AGE:19PO:62OV:53
Filip Hallander (R)AGE:18PO:68OV:50
Jimmy HayesAGE:29PO:25OV:78
Bryan RustAGE:26PO:35OV:77
Kevin LabancAGE:22PO:49OV:75
Kyle PalmieriAGE:27PO:31OV:75
Evgeny Svechnikov (R)AGE:22PO:53OV:74
Barclay GoodrowAGE:25PO:35OV:69
Taylor Raddysh (R)AGE:20PO:59OV:64
Tage Thompson (R)AGE:21PO:59OV:62

Défense #1Défense #2Gardien
Erik JohnsonAGE:30PO:27OV:80
Sami VatanenAGE:27PO:34OV:79
Esa LindellAGE:24PO:41OV:77
Christian FolinAGE:27PO:29OV:77
Colby RobakAGE:28PO:28OV:76
Rasmus Andersson (R)AGE:22PO:54OV:74
David SavardAGE:28PO:27OV:74
Mathieu BrodeurAGE:28PO:23OV:73
Frank CorradoAGE:25PO:36OV:70
Dominik Masin (R)AGE:22PO:48OV:67
Trevor Carrick (R)AGE:24PO:32OV:67
John GilmourAGE:25PO:30OV:67
Erik Brannstrom (R)AGE:19PO:74OV:66
Petteri LindbohmAGE:25PO:34OV:66
Christian Jaros (R)AGE:22PO:43OV:65
Brandon Hickey (R)AGE:22PO:38OV:65
Darren Raddysh (R)AGE:22PO:48OV:62
Tim Berni (R)AGE:18PO:60OV:48
Christopher GibsonAGE:26PO:33OV:78
Henrik LundqvistAGE:36PO:12OV:77
Michael HutchinsonAGE:28PO:24OV:74
Vitek VanecekAGE:22PO:47OV:65
Collin DeliaAGE:24PO:54OV:60
Joel Hofer (R)AGE:18PO:69OV:57

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

Choix au repêchage

Année R1R2R3R4R5
4
5
6
7
8
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Flames Historique de transactions

[2024-06-09 7:17:59 PM] - Wranglersare the Farm Playoffs Champions for year 3!
[2024-05-20 8:27:24 PM] - Flames was eliminated at round 1 of year 3.
[2024-04-06 5:41:13 PM] - Team Name Change : Heat changed name to Wranglers
[2023-12-10 9:10:21 PM] - New Record for Team's Most Shots Blocked (26) in 1 Game for Flames!



[2024-06-09 7:17:59 PM] Wranglers are the Farm Playoffs Champions!
[2024-06-02 11:02:59 PM] Successfully loaded Flames lines done with Web Base Client from IP:142.169.102.34 .
[2024-06-02 9:30:39 AM] Brandon Hickey from Wranglers is back from Sports Hernia Injury.
[2024-06-02 9:30:38 AM] Game 89 - Brandon Hickey from Wranglers is injured (Sports Hernia) and is out for 1 week.
[2024-05-29 7:15:42 PM] Barclay Goodrow from Wranglers is back from Right Foot Injury.
[2024-05-28 9:47:03 PM] Last 7 Days Farm Star : 1 - Lucas Lessio of Griffins (10-4-14) / 2 - Evgeny Svechnikov of Wranglers (7-4-11) / 3 - Drake Batherson of Checkers (7-4-11)
[2024-05-24 7:32:07 PM] Successfully loaded Flames lines done with Web Base Client from IP:142.169.102.34 .
[2024-05-23 10:36:11 PM] Game 66 - Barclay Goodrow from Wranglers is injured (Right Foot) and is out for 2 weeks.
[2024-05-19 11:28:39 PM] Colin Wilson from Flames is back from Strained Left Knee Injury.
[2024-05-19 11:28:17 PM] Successfully loaded Flames lines done with Web Base Client from IP:184.162.50.152 .
[2024-05-19 8:52:21 AM] Christian Jaros from Wranglers is back from Sprained Right Knee Injury.
[2024-05-19 8:52:07 AM] Successfully loaded Flames lines done with Web Base Client from IP:142.169.102.34 .
[2024-05-19 8:51:37 AM] Successfully loaded Flames lines done with Web Base Client from IP:142.169.102.34 .
[2024-05-17 8:20:42 PM] Game 25 - Colin Wilson from Flames is injured (Strained Left Knee) and is out for 1 week.
[2024-05-17 8:17:35 PM] Successfully loaded Flames lines done with Web Base Client from IP:142.169.102.34 .
[2024-05-16 8:37:52 PM] Successfully loaded Flames lines done with Web Base Client from IP:204.48.94.253 .
[2024-05-16 8:34:09 PM] Successfully loaded Flames lines done with Web Base Client from IP:204.48.94.253 .
[2024-05-15 9:14:59 PM] Game 12 - Christian Jaros from Wranglers is injured (Sprained Right Knee) and is out for 1 week.
[2024-05-15 9:13:40 PM] Successfully loaded Flames lines done with Web Base Client from IP:207.162.93.3 .
[2024-05-15 9:07:03 PM] Successfully loaded Flames lines done with Web Base Client from IP:207.162.93.3 .
[2024-05-14 10:58:33 PM] Frank Corrado from Wranglers is back from Bruised Right Foot Injury.
[2024-05-14 10:58:28 PM] Game 4 - Frank Corrado from Wranglers is injured (Bruised Right Foot) and is out for 2 days.
[2024-05-14 10:58:08 PM] Successfully loaded Flames lines done with Web Base Client from IP:207.162.93.3 .
[2024-05-10 8:56:47 PM] Auto Lines Function has been run for Wranglers.
[2024-05-10 8:56:47 PM] Auto Roster Farm Only Function has been run for Flames.
[2024-05-08 7:11:29 PM] Erik Brannstrom from Wranglers is back from Bruised Right Shoulder Injury.
[2024-05-07 9:00:09 PM] Game 1024 - Erik Brannstrom from Wranglers is injured (Bruised Right Shoulder) and is out for 1 week.
[2024-04-29 7:36:36 PM] Pro Game #1000 - Eric Staal from Flames has scored a Hat Trick!
[2024-04-29 7:36:35 PM] Farm Game #998 - Nico Sturm from Wranglers has scored a Hat Trick!
[2024-04-24 7:30:09 PM] Successfully loaded Flames lines done with Web Base Client from IP:165.225.213.17 .
[2024-04-22 8:40:03 AM] Barclay Goodrow from Wranglers is back from Sore Right Knee Injury.
[2024-04-22 8:40:01 AM] Game 973 - Barclay Goodrow from Wranglers is injured (Sore Right Knee) and is out for 3 days.
[2024-04-20 8:17:55 PM] Last 7 Days Pro Star : 1 - Filip Forsberg of Blues (4-4-8) / 2 - Eric Staal of Flames (4-4-8) / 3 - Milan Lucic of Rangers (3-5-8)
[2024-04-20 8:17:31 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-19 8:00:07 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-18 9:13:30 PM] Last 30 Days Pro Star : 1 - Vladimir Tarasenko of Islanders (8-15-23) / 2 - Jimmy Hayes of Flames (11-12-23) / 3 - Nazem Kadri of Devils (10-12-22)
[2024-04-17 8:40:22 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-17 8:40:22 PM] Rasmus Andersson of Flames was sent down to farm.
[2024-04-16 7:09:49 PM] Colby Robak from Flames is back from Left Ankle Injury.
[2024-04-15 7:13:03 PM] Christian Folin from Flames is back from Left Hip Injury.
[2024-04-13 9:49:02 AM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-10 8:23:09 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-10 8:23:08 PM] Rasmus Andersson of Flames was sent to pro.
[2024-04-10 8:23:08 PM] Dominik Masin of Flames was sent down to farm.
[2024-04-08 7:29:52 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.



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