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OTHL - Flames 

Flames

GP: 8 | W: 7 | L: 1 | OTL: 0 | P: 14
GF: 27 | GA: 12 | PP%: 13.89% | PK%: 86.11%
DG: Alex | Morale : 50 | Moyenne d'Équipe : 71
Prochain matchs #115 vs Kings
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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 SP
1Dylan LarkinX100.007654739573899683968789733766678650780
2Taylor HallX100.006943859475837291459984625571728350770
3Justin Williams (A)X100.006942847169769982487879585991985050720
4David Perron (A)XX100.007343777873768179408088616579827950720
5Tom WilsonX100.009799448184788868557485782568718050720
6Viktor ArvidssonXX100.006141868764818583296996652562648350720
7Phillip DanaultX100.007754858173778465978568832563637550710
8Austin WatsonXX100.009499717880687557396971865365667450690
9Markus GranlundXXX100.006742918267708274576170857264657350690
10Adam LowryX100.009470877883687963986268842567697250690
11Andrew CoppXX100.007544968175629362756570756366677250680
12Andreas JohnssonXX100.007143866370668573367678597560617350660
13Jaccob SlavinX100.007344928977889973256350835365656850740
14Erik Karlsson (C)X100.007143879370917988448948736176787050740
15Brady SkjeiX100.008846838679829760255750852564656750730
16Roman PolakX100.009057756686788359255047962577806450720
17Mathew DumbaX100.008464818668887481256574752565677750720
18Steven SantiniX100.008646877276717059254848802554546250660
Rayé
1Garnet HathawayXX100.009160796877579457396066762561616950640
2Jonathon MerrillX95.787755748278747565255648842566676450700
3Devon Toews (R)X100.006542978068756876256250567558586250630
MOYENNE D'ÉQUIPE99.80785482817576847146696875446769725071
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 SP
1Pekka Rinne100.00908886879387748889907575788450840
2Casey DeSmith100.00826865668876647985825948487750710
Rayé
MOYENNE D'ÉQUIPE100.0086787677918269848786676263815078
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien96828078998887CAN5535,000,000$


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

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# Nom du Joueur Nom de l'ÉquipePOS GP 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
1Erik KarlssonFlamesD82810106011151821011.11%818923.7321312360000601 0.00%000001.0501000021
2Taylor HallFlamesLW8371060032029112310.34%215619.59134933000002015.38%1300001.2800000201
3Phillip DanaultFlamesC82794201121235258.70%016220.320114290001140056.94%21600001.1100000110
4Viktor ArvidssonFlamesLW/RW854940061132112215.63%215919.94112537000002225.00%2000001.1300000101
5Dylan LarkinFlamesC83585004243410258.82%116821.091239330000130057.69%23400000.9500000101
6David PerronFlamesLW/RW8235480712215169.52%012015.0500000000030038.46%1300000.8300000010
7Tom WilsonFlamesRW82245240258254138.00%313416.77011421000001125.00%1600000.6000000000
8Jaccob SlavinFlamesD803380012417270.00%1320525.65000132500003500 0.00%000000.2900000001
9Steven SantiniFlamesD50334401211320.00%56913.900000000001600 0.00%000000.8600000000
10Markus GranlundFlamesC/LW/RW81234000313297.69%4739.22011050001160033.33%600000.8111000000
11Andrew CoppFlamesC/LW811240031551420.00%0577.2200000000041050.00%5200000.6900000001
12Austin WatsonFlamesC/RW8202517521490422.22%08811.07000000001360030.00%1000000.4500001010
13Adam LowryFlamesC8022110081910380.00%110212.80000000000340050.94%15900000.3900000000
14Justin WilliamsFlamesRW810110019105510.00%0708.8200000000000060.00%500000.2800000010
15Brady SkjeiFlamesD8101080195163126.25%1118122.7300062300003000 0.00%000000.1100000000
16Roman PolakFlamesD6101040225103100.00%59515.970000200001500 0.00%000000.2100000000
17Devon ToewsFlamesD2011200022000.00%02412.38000020000100 0.00%000000.8100000000
18Mathew DumbaFlamesD8011340138166120.00%615919.8800010370000900 0.00%000000.1300000000
19Andreas JohnssonFlamesLW/RW8000-140527170.00%09111.41000229000000040.00%500000.0001000000
20Jonathon MerrillFlamesD3000100323000.00%23812.67000000001900 0.00%000000.0000000000
Stats d'équipe Total ou en Moyenne14426497570915186190292742078.90%63235016.32510157432100042476452.20%74900000.6413001566
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

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# 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
1Casey DeSmithFlames44000.9661.00240014116000 0.000044010
2Pekka RinneFlames43100.9431.982430181410001.000344101
Stats d'équipe Total ou en Moyenne87100.9531.4948302122570001.000388111


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam LowryFlamesC261993-03-28No210 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm2,900,000$2,900,000$2,634,946$NoLien
Andreas JohnssonFlamesLW/RW241994-11-21No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm925,000$925,000$840,457$NoLien
Andrew CoppFlamesC/LW251994-07-08No206 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,650,000$1,650,000$1,499,194$NoLien
Austin WatsonFlamesC/RW271992-01-12No204 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm1,650,000$1,650,000$1,499,194$NoLien
Brady SkjeiFlamesD251994-03-26No211 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm925,000$925,000$840,457$NoLien
Casey DeSmithFlamesG281991-08-12No181 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,150,000$1,150,000$1,044,892$NoLien
David PerronFlamesLW/RW311988-05-28No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm4,500,000$4,500,000$4,088,710$NoLien
Devon ToewsFlamesD251994-02-20Yes181 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,031,250$1,031,250$936,996$NoLien
Dylan LarkinFlamesC231996-07-30No198 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm6,100,000$6,100,000$5,542,473$NoLien
Erik KarlssonFlamesD291990-05-31No191 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm9,200,000$9,200,000$8,359,140$NoLien
Garnet HathawayFlamesLW/RW271991-11-23No208 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm925,000$925,000$840,457$NoLien
Jaccob SlavinFlamesD251994-05-01No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,543,011$NoLien
Jonathon MerrillFlamesD271992-02-03No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm850,000$850,000$772,312$NoLien
Justin WilliamsFlamesRW381981-10-04 7:57:02 AMNo188 Lbs6 ft1YesNoNo1Sans RestrictionPro & Farm6,000,000$6,000,000$5,451,613$No
Markus GranlundFlamesC/LW/RW261993-04-15No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,475,000$1,475,000$1,340,188$NoLien
Mathew DumbaFlamesD251994-07-24No184 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm6,000,000$6,000,000$5,451,613$NoLien
Pekka RinneFlamesG371982-11-02No217 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm7,000,000$7,000,000$6,360,215$NoLien
Phillip DanaultFlamesC261993-02-24No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm3,300,000$3,300,000$2,998,387$NoLien
Roman PolakFlamesD331986-04-28No235 Lbs6 ft2YesNoNo2Sans RestrictionPro & Farm4,250,000$4,250,000$3,861,559$NoLien
Steven SantiniFlamesD241995-03-07No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm925,000$925,000$840,457$NoLien
Taylor HallFlamesLW271991-11-13No205 Lbs6 ft1NoNoNo5Avec RestrictionPro & Farm8,750,000$8,750,000$7,950,269$NoLien
Tom WilsonFlamesRW251994-03-29No218 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,271,505$NoLien
Viktor ArvidssonFlamesLW/RW261993-04-07No180 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm4,500,000$4,500,000$4,088,710$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2327.35200 Lbs6 ft22.263,543,750$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
81,506,250$59,581,250$42,231,250$22,500,000$8,750,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PerronPhillip DanaultViktor Arvidsson41032
2Taylor HallDylan LarkinTom Wilson38032
3Andreas JohnssonAdam LowryJustin Williams14023
4Austin WatsonAndrew CoppMarkus Granlund7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonBrady Skjei40041
2Jaccob SlavinRoman Polak40041
3Mathew DumbaSteven Santini10050
4Erik KarlssonJaccob Slavin10032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor HallDylan LarkinViktor Arvidsson70005
2Andreas JohnssonPhillip DanaultTom Wilson30014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonMathew Dumba80005
2Brady SkjeiJaccob Slavin20014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Adam LowryAustin Watson60050
2Phillip DanaultMarkus Granlund40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaccob SlavinRoman Polak72050
2Steven SantiniBrady Skjei28050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Adam Lowry60050Jaccob SlavinRoman Polak74050
2Phillip Danault40050Steven SantiniBrady Skjei26050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan LarkinTaylor Hall60122
2Phillip DanaultViktor Arvidsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonMathew Dumba60122
2Brady SkjeiJaccob Slavin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor HallDylan LarkinViktor ArvidssonErik KarlssonJaccob Slavin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Markus GranlundAdam LowryAustin WatsonBrady SkjeiJaccob Slavin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Taylor Hall, Dylan Larkin, Viktor ArvidssonMarkus Granlund, Justin WilliamsDylan Larkin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mathew Dumba, Steven Santini, Brady SkjeiMathew DumbaBrady Skjei, Steven Santini
Tirs de Pénalité
Andreas Johnsson, Markus Granlund, Erik Karlsson, David Perron, Andrew Copp
Gardien
#1 : Pekka Rinne, #2 : Casey DeSmith


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
LigueDomicileVisiteur
# 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
1Avalanche11000000413000000000001100000041321.000481200211039191010022625214125.00%50100.00%015631948.90%16131451.27%7411663.79%2215248136
2Canucks1010000023-11010000023-10000000000000.00024600011030131070441012305120.00%6266.67%015631948.90%16131451.27%7411663.79%1912287115
3Flyers11000000422110000004220000000000021.000481200211043171790387628500.00%30100.00%015631948.90%16131451.27%7411663.79%2417236116
4Golden Knights11000000404000000000001100000040421.00047110112103411121101911217300.00%50100.00%015631948.90%16131451.27%7411663.79%2617207137
5Kings11000000303110000003030000000000021.000369012100291559029124193133.33%20100.00%015631948.90%16131451.27%7411663.79%2417237126
6Red Wings11000000321110000003210000000000021.0003690021004120147033510176116.67%5180.00%015631948.90%16131451.27%7411663.79%2619217115
7Sharks10000010431000000000001000001043121.00045900111139612177359628600.00%2150.00%015631948.90%16131451.27%7411663.79%2719237137
8Stars11000000312000000000001100000031221.000358000120371214110371316264125.00%8187.50%015631948.90%16131451.27%7411663.79%2417247115
Total861000102712154310000012754300001015510140.875274976021097129211394817257639118636513.89%36586.11%015631948.90%16131451.27%7411663.79%196138189589951
_Since Last GM Reset861000102712154310000012754300001015510140.875274976021097129211394817257639118636513.89%36586.11%015631948.90%16131451.27%7411663.79%196138189589951
_Vs Conference6410001020812211000005324300001015510100.8332035550267612087663657186517514125416.00%28485.71%015631948.90%16131451.27%7411663.79%144101144447639
_Vs Division421000101367211000005322100001083560.750132235024531132453944712732349417211.76%15380.00%015631948.90%16131451.27%7411663.79%976895295126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
814W2274976292257639118602
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
86100102712
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000127
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4300010155
Derniers 10 Matchs
WLOTWOTL SOWSOL
610010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
36513.89%36586.11%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
1139481710971
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
15631948.90%16131451.27%7411663.79%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
196138189589951


Derniers Match 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 - 2019-10-057Flames4Avalanche1WSommaire du Match
4 - 2019-10-0721Canucks3Flames2LR3Sommaire du Match
7 - 2019-10-1036Kings0Flames3WSommaire du Match
9 - 2019-10-1250Flames3Stars1WSommaire du Match
11 - 2019-10-1474Flames4Golden Knights0WSommaire du Match
12 - 2019-10-1576Flames4Sharks3WXXSommaire du Match
14 - 2019-10-1785Flyers2Flames4WSommaire du Match
16 - 2019-10-19100Red Wings2Flames3WSommaire du Match
18 - 2019-10-21115Flames-Kings-
19 - 2019-10-22124Flames-Ducks-
21 - 2019-10-24135Capitals-Flames-
23 - 2019-10-26146Panthers-Flames-
25 - 2019-10-28169Flames-Jets-
28 - 2019-10-31181Flames-Hurricanes-
30 - 2019-11-02194Flames-Predators-
32 - 2019-11-04208Flames-Blue Jackets-
33 - 2019-11-05219Flames-Capitals-
35 - 2019-11-07226Coyotes-Flames-
37 - 2019-11-09239Devils-Flames-
39 - 2019-11-11253Blues-Flames-
43 - 2019-11-15281Stars-Flames-
46 - 2019-11-18299Flames-Coyotes-
47 - 2019-11-19315Flames-Golden Knights-
49 - 2019-11-21320Avalanche-Flames-
51 - 2019-11-23344Flames-Blues-
53 - 2019-11-25355Flames-Flyers-
55 - 2019-11-27372Flames-Penguins-
57 - 2019-11-29378Flames-Sabres-
60 - 2019-12-02404Senators-Flames-
65 - 2019-12-07441Sabres-Flames-
67 - 2019-12-09454Kings-Flames-
69 - 2019-12-11468Flames-Avalanche-
70 - 2019-12-12472Flames-Coyotes-
72 - 2019-12-14490Maple Leafs-Flames-
74 - 2019-12-16503Hurricanes-Flames-
77 - 2019-12-19525Penguins-Flames-
79 - 2019-12-21541Canadiens-Flames-
82 - 2019-12-24565Flames-Stars-
83 - 2019-12-25572Flames-Wild-
87 - 2019-12-29586Flames-Oilers-
89 - 2019-12-31606Canucks-Flames-
91 - 2020-01-02617Blackhawks-Flames-
93 - 2020-01-04630Rangers-Flames-
96 - 2020-01-07656Flames-Wild-
98 - 2020-01-09665Flames-Blackhawks-
100 - 2020-01-11680Wild-Flames-
102 - 2020-01-13694Oilers-Flames-
104 - 2020-01-15709Flames-Canadiens-
107 - 2020-01-18737Flames-Maple Leafs-
109 - 2020-01-20751Flames-Senators-
119 - 2020-01-30775Blues-Flames-
120 - 2020-01-31778Flames-Oilers-
123 - 2020-02-03794Oilers-Flames-
126 - 2020-02-06816Sharks-Flames-
128 - 2020-02-08829Predators-Flames-
130 - 2020-02-10851Flames-Canucks-
132 - 2020-02-12863Flames-Sharks-
134 - 2020-02-14878Flames-Kings-
135 - 2020-02-15880Flames-Ducks-
137 - 2020-02-17897Blackhawks-Flames-
139 - 2020-02-19916Ducks-Flames-
143 - 2020-02-23943Bruins-Flames-
145 - 2020-02-25962Flames-Red Wings-
147 - 2020-02-27970Flames-Bruins-
149 - 2020-02-29988Flames-Predators-
151 - 2020-03-021009Flames-Lightning-
152 - 2020-03-031013Flames-Panthers-
155 - 2020-03-061029Blue Jackets-Flames-
157 - 2020-03-081044Coyotes-Flames-
159 - 2020-03-101060Golden Knights-Flames-
163 - 2020-03-141085Islanders-Flames-
165 - 2020-03-161102Jets-Flames-
167 - 2020-03-181121Flames-Rangers-
168 - 2020-03-191127Flames-Islanders-
170 - 2020-03-211142Flames-Devils-
172 - 2020-03-231155Lightning-Flames-
174 - 2020-03-251170Sharks-Flames-
176 - 2020-03-271185Ducks-Flames-
178 - 2020-03-291203Flames-Canucks-
182 - 2020-04-021229Jets-Flames-
184 - 2020-04-041244Golden Knights-Flames-
186 - 2020-04-061260Oilers-Flames-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000400030001000
Prix des Billets1621139167254
Assistance23,41919,01015,37311,7713,552
Attendance PCT97.58%95.05%96.08%98.09%88.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 18281 - 96.22% 2,149,506$8,598,023$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
7,729,599$ 81,506,250$ 81,506,250$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
438,206$ 7,272,618$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
79,531,713$ 169 465,087$ 78,599,703$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
80,324,686$ 81,329,432$ 39,895,257$ 41,138,061$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Taylor HallAGE:27PO:83OV:77
Viktor ArvidssonAGE:26PO:83OV:72
David PerronAGE:31PO:79OV:72
Markus GranlundAGE:26PO:73OV:69
Andrew CoppAGE:25PO:72OV:68
Anthony DuclairAGE:24PO:72OV:67
Andreas JohnssonAGE:24PO:73OV:66
Andre BurakovskyAGE:24PO:69OV:66
Garnet HathawayAGE:27PO:69OV:64
Kyle RauAGE:27PO:66OV:64
Brad MaloneAGE:30PO:63OV:62
*Christoffer EhnAGE:23PO:65OV:61
*Taro HiroseAGE:23PO:65OV:61
Matthew HighmoreAGE:23PO:65OV:61
*Tyrell GoulbourneAGE:25PO:56OV:56
Dylan LarkinAGE:23PO:86OV:78
Phillip DanaultAGE:26PO:75OV:71
Austin WatsonAGE:27PO:74OV:69
Markus GranlundAGE:26PO:73OV:69
Adam LowryAGE:26PO:72OV:69
Andrew CoppAGE:25PO:72OV:68
Kyle RauAGE:27PO:66OV:64
Jack RoslovicAGE:22PO:64OV:62
Brad MaloneAGE:30PO:63OV:62
*Christoffer EhnAGE:23PO:65OV:61
Vinni LettieriAGE:24PO:62OV:61
Viktor ArvidssonAGE:26PO:83OV:72
Tom WilsonAGE:25PO:80OV:72
David PerronAGE:31PO:79OV:72
Justin WilliamsAGE:38PO:50OV:72
Austin WatsonAGE:27PO:74OV:69
Markus GranlundAGE:26PO:73OV:69
Anthony DuclairAGE:24PO:72OV:67
Andreas JohnssonAGE:24PO:73OV:66
Andre BurakovskyAGE:24PO:69OV:66
Garnet HathawayAGE:27PO:69OV:64
Jack RoslovicAGE:22PO:64OV:62
*Christoffer EhnAGE:23PO:65OV:61
Matthew HighmoreAGE:23PO:65OV:61
Vinni LettieriAGE:24PO:62OV:61
*Tyrell GoulbourneAGE:25PO:56OV:56

Défense #1Défense #2Gardien
Erik KarlssonAGE:29PO:70OV:74
Jaccob SlavinAGE:25PO:68OV:74
Brady SkjeiAGE:25PO:67OV:73
Mathew DumbaAGE:25PO:77OV:72
Roman PolakAGE:33PO:64OV:72
Jonathon MerrillAGE:27PO:64OV:70
Steven SantiniAGE:24PO:62OV:66
*Devon ToewsAGE:25PO:62OV:63
Jordan SubbanAGE:24PO:54OV:57
*Blake HillmanAGE:23PO:50OV:55
Pekka RinneAGE:37PO:84OV:84
Casey DeSmithAGE:28PO:77OV:71
Oscar DanskAGE:25PO:61OV:61

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alex DostieFlames2016146
Alex GreenFlames2018150
Arseny GritsyukFlames2019131
Artemi KniazevFlames201959
Benjamin GallacherFlames2010127
Benton MaassFlames2017191
Cole MobergFlames2019170
Colin BlackwellFlames2011195
Damian GirouxFlames2018149
David GustafssonFlames201856
Eetu MakiniemiFlames2017134
Evan CormierFlames2016142
Jack BadiniFlames2017119
Jacob CederholmFlames2016134
Jake BeanFlames201617
Jake PivonkaFlames2018119
Jason RobertsonFlames201737
Jordan HarrisFlames2018101
Kevin BahlFlames201857
Kody ClarkFlames201848
Liam CoughlinFlames2014159
Linus KarlssonFlames201884
Lukas DostalFlames201880
Martins DzierkalsFlames2015100
Nick MerkleyFlames201518
Nick RobertsonFlames201939
Oskari LaaksonenFlames2017121
Otto KivenmakiFlames2018203
Patrick KudlaFlames2016194
Raphael LavoieFlames201932
Rasmus AsplundFlames201636
Ryan JonesFlames2016186
Ryan MerkleyFlames201826
Samuel MorinFlames201314
Shane EisermanFlames2014123
Tomas MazuraFlames2019167
Trent MinerFlames2019130
Ukko-Pekka LuukkonenFlames201745
Vitaly AbramovFlames201644
Vladimir BobylevFlames2016116

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020BUF NYR CGY SJS EDM OTT TOR CHI NJD VAN CGY EDM BOS ARI
2021CGY STL NYR CGY CGY CGY NYR BOS CGY
2022CGY CGY CGY CGY CGY CGY CGY
2023CGY CGY CGY CGY CGY CGY CGY
2024CGY CGY CGY CGY CGY CGY CGY



[2019-10-17 9:09:19 PM] - David Perron has been selected as assistant for Flames.
[2019-10-17 9:09:19 PM] - Filip Forsberg is no longer as assistant for Flames.
[2019-10-16 4:36:41 PM] - Team Name Change : Calgary Flames changed name to Flames
[2019-10-08 5:11:34 PM] - Justin Williams has been selected as assistant for Calgary Flames.
[2019-10-08 5:11:34 PM] - Jonathan Ericsson is no longer as assistant for Calgary Flames.
[2019-10-06 5:55:20 PM] - Unknown Player is no longer as assistant for Heat.
[2019-10-06 5:55:20 PM] - Filip Forsberg has been selected as assistant for Calgary Flames.
[2019-10-06 5:55:20 PM] - Unknown Player is no longer as assistant for Calgary Flames.
[2019-10-06 5:55:20 PM] - Jonathan Ericsson has been selected as assistant for Calgary Flames.
[2019-10-06 5:55:20 PM] - Unknown Player is no longer as assistant for Calgary Flames.
[2019-10-05 7:02:24 PM] - Andre Burakovsky signed with Calgary Flames for $800,000 for 1 year(s).
[2019-10-05 7:02:24 PM] - Andre Burakovsky was added to Calgary Flames.
[2019-10-05 2:18:13 PM] - Richard Clune was released.
[2019-10-05 2:03:40 PM] - Justin Williams signed with Calgary Flames for $6,000,000 for 1 year(s) / Option : No Trade.
[2019-10-05 2:03:40 PM] - Justin Williams was added to Calgary Flames.
[2019-10-04 10:20:59 PM] - TRADE : From Calgary Flames to Chicago Blackhawks : Zac Dalpe (65).
[2019-10-04 10:20:59 PM] - TRADE : From Chicago Blackhawks to Calgary Flames : Linus Karlsson (P).
[2019-09-21 8:25:29 PM] - Roman Polak signed with Calgary Flames for $4,250,000 for 2 year(s) / Option : No Trade & Signing Bonus of $2,000,000.
[2019-09-21 8:25:29 PM] - Roman Polak was added to Calgary Flames.
[2019-09-16 3:54:49 PM] - TRADE : From New York Rangers to Calgary Flames : Y:2020-RND:2-NYR.
[2019-08-27 5:42:39 PM] - TRADE : From Calgary Flames to Carolina Hurricanes : Jesse Puljujarvi (64), Y:2020-RND:6-STL.
[2019-08-27 5:42:39 PM] - TRADE : From Carolina Hurricanes to Calgary Flames : Andrew Copp (68).
[2019-08-15 5:24:08 PM] - Taro Hirose was added to Calgary Flames.
[2019-08-03 10:39:26 AM] - Calgary Flames drafts Cole Moberg as the #170 overall pick in the Entry Draft of year 2019.
[2019-08-02 7:20:22 PM] - Calgary Flames drafts Tomas Mazura as the #167 overall pick in the Entry Draft of year 2019.
[2019-08-02 7:18:37 PM] - TRADE : From St. Louis Blues to Calgary Flames : Y:2020-RND:1-BUF.
[2019-08-02 7:18:37 PM] - TRADE : From Calgary Flames to St. Louis Blues : Y:2020-RND:1-CGY.
[2019-08-01 7:05:35 PM] - Heat hired Troy Mann for $700,000 for 3 year(s).
[2019-08-01 7:05:11 PM] - Calgary Flames hired Claude Julien for $5,000,000 for 3 year(s).
[2019-08-01 7:04:36 PM] - Calgary Flames fired Randy Carlyle.
[2019-07-28 8:14:23 PM] - Calgary Flames drafts Arseny Gritsyuk as the #131 overall pick in the Entry Draft of year 2019.
[2019-07-28 8:14:12 PM] - Calgary Flames drafts Trent Miner as the #130 overall pick in the Entry Draft of year 2019.
[2019-07-28 8:00:16 PM] - TRADE : From St. Louis Blues to Calgary Flames : Y:2021-RND:1-STL.
[2019-07-28 8:00:16 PM] - TRADE : From Calgary Flames to St. Louis Blues : Y:2020-RND:1-BUF.
[2019-07-26 4:31:28 PM] - TRADE : From Calgary Flames to Columbus Blue Jackets : Y:2020-RND:3-CGY, Y:2020-RND:5-CGY.
[2019-07-26 4:31:28 PM] - TRADE : From Columbus Blue Jackets to Calgary Flames : Andre Burakovsky (65).
[2019-07-25 5:01:24 PM] - TRADE : From Philadelphia Flyers to Calgary Flames : Blake Hillman (55).
[2019-07-25 5:01:24 PM] - TRADE : From Calgary Flames to Philadelphia Flyers : Y:2019-RND:7-VAN.



[2019-11-07 4:46:53 PM] Jonathon Merrill from Flames is back from Sprained Right Knee Injury.
[2019-11-06 4:30:32 PM] Heat lines for next game are empty. Current rosters/lines are not erased. But, Flames lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-06 4:30:22 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-11-04 5:24:41 PM] Heat lines for next game are empty. Current rosters/lines are not erased. But, Flames lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-04 5:24:41 PM] Last 7 Days Farm Star : 1 - Anthony Duclair of Heat (6-6-12) / 2 - Christoffer Ehn of Heat (4-7-11) / 3 - Andre Burakovsky of Heat (5-6-11)
[2019-11-04 5:24:41 PM] Last 7 Days Pro Star : 1 - Carey Price of Predators (0.972) / 2 - Jonathan Toews of Jets (4-3-7) / 3 - Casey DeSmith of Flames (0.968)
[2019-11-04 5:24:40 PM] Anthony Duclair from Heat has scored a Hat Trick!
[2019-11-04 5:22:01 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-11-02 5:12:00 PM] Heat lines for next game are empty. Current rosters/lines are not erased. But, Flames lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-02 5:12:00 PM] Matthew Highmore from Heat has scored a Hat Trick!
[2019-11-02 5:11:11 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-11-01 4:07:37 PM] Roman Polak from Flames is back from Back Spasms Injury.
[2019-11-01 4:07:37 PM] Heat lines for next game are empty. Current rosters/lines are not erased. But, Flames lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-01 4:04:01 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-10-30 4:47:32 PM] Heat lines for next game are empty. Current rosters/lines are not erased. But, Flames lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-30 4:47:30 PM] Vinni Lettieri from Heat has scored a Hat Trick!
[2019-10-30 4:42:44 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-10-30 4:42:44 PM] Steven Santini of Flames was sent to pro.
[2019-10-28 4:16:20 PM] Last 7 Days Farm Star : 1 - John Quenneville of Moose (8-5-13) / 2 - Anthony Duclair of Heat (6-6-12) / 3 - Andre Burakovsky of Heat (5-5-10)
[2019-10-28 4:16:19 PM] Anthony Duclair from Heat has scored a Hat Trick!
[2019-10-28 4:16:18 PM] Game 36 - Jonathon Merrill from Flames is injured (Sprained Right Knee) and is out for 2 weeks.
[2019-10-28 4:16:18 PM] Game 36 - Roman Polak from Flames is injured (Back Spasms) and is out for 1 week.
[2019-10-28 4:10:39 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7
[2019-10-25 4:53:21 PM] Successfully loaded Flames lines done with STHS Client - 3.1.7.7



Pas de Blessure ou de Suspension.



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LigueDomicileVisiteur
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
201986100010271215431000001275430000101551014274976021097129211394817257639118636513.89%36586.11%015631948.90%16131451.27%7411663.79%196138189589951
Total Saison Régulière86100010271215431000001275430000101551014274976021097129211394817257639118636513.89%36586.11%015631948.90%16131451.27%7411663.79%196138189589951