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Connexion

Flames
GP: 80 | W: 46 | L: 28 | OTL: 6 | P: 98
GF: 273 | GA: 251 | PP%: 18.34% | PK%: 83.57%
DG: Steve Landry | Morale : 64 | Moyenne d’équipe : 76
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Centre de jeu
Kings
34-40-6, 74pts
5
FINAL
2 Flames
46-28-6, 98pts
Team Stats
W3SéquenceL2
22-15-3Fiche domicile23-14-3
12-25-3Fiche visiteur23-14-3
6-4-0Derniers 10 matchs6-2-2
3.10Buts par match 3.41
3.35Buts contre par match 3.14
17.30%Pourcentage en avantage numérique18.34%
83.50%Pourcentage en désavantage numérique83.57%
Flames
46-28-6, 98pts
2
FINAL
4 Flyers
38-36-6, 82pts
Team Stats
L2SéquenceW1
23-14-3Fiche domicile22-16-2
23-14-3Fiche visiteur16-20-4
6-2-2Derniers 10 matchs3-6-1
3.41Buts par match 3.24
3.14Buts contre par match 3.30
18.34%Pourcentage en avantage numérique18.60%
83.57%Pourcentage en désavantage numérique82.70%
Meneurs d'équipe
Buts
Eric Staal
46
Passes
Eric Staal
51
Points
Eric Staal
97
Plus/Moins
Bryan Rust
16
Victoires
Christopher Gibson
35
Pourcentage d’arrêts
Christopher Gibson
0.903

Statistiques d’équipe
Buts pour
273
3.41 GFG
Tirs pour
2526
31.58 Avg
Pourcentage en avantage numérique
18.3%
62 GF
Début de zone offensive
38.7%
Buts contre
251
3.14 GAA
Tirs contre
2449
30.61 Avg
Pourcentage en désavantage numérique
83.6%%
58 GA
Début de la zone défensive
36.7%
Informations de l'équipe

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


Informations de l’aréna

NomScotiabank Saddledome
Capacité18,000
Assistance17,695
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 estimé64,321,250$
Plafond salarial disponible37,530,054$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial24


Finance

Revenu annuel à ce jour57,410,008$
Dépenses annuelles à ce jour66,480,344$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel35,851,304$
Compte bancaire projeté35,836,145$


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)X100.0075547977757787877977797486949916817913425,000,000$
2Jimmy HayesX100.0083447676807282847281857667747025817802912,500,000$
3Brad MarchandX100.0079457978857879747678817784796324817703035,000,000$
4Bryan RustX100.0070258778798882747782807974715635817702612,000,000$
5Patrik BerglundX100.0078278775808084777979847579806223817713045,000,000$
6Tanner PearsonX100.0069289480828083816771876581736940817602632,500,000$
7Jake DeBruskX100.0079528377807977757276817073604955817502212,000,000$
8Kevin LabancX100.0067278086807880847477756886635349817502221,900,000$
9Kyle PalmieriX100.0072248078818183847576767379595731817502722,500,000$
10Anders LeeX100.0082268479747771737470836773686526817402811,500,000$
11David UllstromX100.0075218172818276807381657568686226817402912,500,000$
12Victor RaskX100.0074347975757877757571816678645540237302511,300,000$
13Erik Johnson (A)X100.0074477881828489806982818667905427818013046,000,000$
14Sami VatanenX100.0076368584838589846480817473825334817912714,000,000$
15Christian FolinX100.0071318382788183886480648362746229567702722,000,000$
16Esa LindellX100.0075298882798082855486737567735141817702433,000,000$
17Colby RobakX100.0077367975817978757082727870765628757602812,100,000$
18David SavardX100.0078427876788078716569727670806227617402812,000,000$
Rayé
1Colin WilsonX100.0075248278878081778574796378686429757502913,500,000$
2Matthew NietoX100.0072288070798381777379746470726935207302621,000,000$
3Chris BrownX100.006442817470717365615479557053532719660271800,000$
4Mathieu BrodeurX100.007428867074757373507258796074572320730281925,000$
Équipe Mineure
1Evgeny Svechnikov (R)X100.007232887287787775787190577160505356740221975,000$
2Peter Cehlarik (R)X100.006944807368747374757672617252484849700232850,000$
3Barclay GoodrowX100.007929756973707171676971726654523549690252900,000$
4Nico Sturm (R)X100.006629877278787765727559697051504559690233750,000$
5Ryan SpoonerX100.006431767473727768767966636555513359680261900,000$
6Jesper Bratt (R)X100.006546747370757171747270617347446459680203750,000$
7Eric Karlsson (R)X100.007833747078707065656773595650503859660242750,000$
8Ryan Donato (R)X100.007438756480657166746775496744444759660223800,000$
9Taylor Raddysh (R)X100.005946806470706070696267586743435962640201500,000$
10Vladislav Kamenev (R)X100.007131735172666869605975577344444856630223700,000$
11Tage Thompson (R)X100.005932846965786556657254625946455950620213700,000$
12Vitali Kravtsov (R)X100.006943726262587063616065536442416749610192500,000$
13Ivan Chekhovich (R)X100.006325754876555961586077376541416321590191500,000$
14Radim Zohorna (R)X100.005739746170736260555669445747454821590223600,000$
15Skyler Brind'Amour (R)X100.004433765154695647545554555441416221530191500,000$
16Rasmus Andersson (R)X100.0075378381727376834681687458634854457402211,500,000$
17Frank CorradoX100.007140757277747671596961716062533655700252850,000$
18Dominik Masin (R)X100.006831877071697257356346795353464821670222650,000$
19John GilmourX100.007034776863766975517257665848503021670251800,000$
20Trevor Carrick (R)X100.006238758166667576427555674449503221670243700,000$
21Erik Brannstrom (R)X98.255529727455537485418362724046427448660191500,000$
22Petteri LindbohmX100.006039756467677071466871695749543436660253750,000$
23Brandon Hickey (R)X100.006627846364646455366947785348453859650221600,000$
24Christian Jaros (R)X100.006729776562616265367150725445464356650222650,000$
25Darren Raddysh (R)X100.006325926560696348456737663950464821620221500,000$
26Demetrios Koumontzis (R)X100.004128605549545055676258304740405820520182500,000$
27Filip Hallander (R)X100.004529675847494356445948394440406820500182500,000$
28Tim Berni (R)X100.005827574051495557185750343140406020480182500,000$
MOYENNE D’ÉQUIPE99.96693479717272737162716965655953425369
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 Gibson100.007482767876788282798071646033817812612,400,000$
2Henrik Lundqvist100.008191747574787379747877939912817723613,000,000$
Rayé
Équipe Mineure
1Michael Hutchinson100.00707975757474747678717371662460740282995,000$
2Vitek Vanecek100.00637067606173775459766246464722650221600,000$
3Collin Delia100.00725765726958515863556742425420600243700,000$
4Joel Hofer (R)100.00665263746950435861537240406941570182500,000$
MOYENNE D’ÉQUIPE100.0071727072716967686969705959405169
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 StaalFlamesC80465197107551221443199516214.42%42169821.2312152747283202714110150.75%24145026031.14390009104
2Jimmy HayesFlamesRW80254873-4100013077251691749.96%28131016.3810213154289011023254.29%704613101.1107000347
3Patrik BerglundFlamesC803432667180106167182599518.68%37154819.3667132324120292886450.58%13682424010.8512000925
4Tanner PearsonFlamesLW802532573408771159619515.72%16129316.171181936290000003145.45%773220000.8819000226
5Bryan RustFlamesRW802531561612095852225112511.26%38148118.5210101002282124344.83%1166234200.7600000234
6Erik JohnsonFlamesD80103949296014015714260617.04%135221127.6461420333231125272210%04061100.4402000131
7Brad MarchandFlamesLW801829478860117861735810910.40%46153619.2100001103392482255.15%1363723100.6100000134
8Sami VatanenFlamesD80122739034010914416073737.50%110222027.758614383230226296110%05466000.3500000043
9Kevin LabancFlamesRW80152237-52406053197551187.61%24106013.25381125235000022457.14%285813000.7000000112
10Jake DeBruskFlamesLW80132033-428011352113366811.50%20107213.41268122350000153341.38%292315000.6200000103
11David UllstromFlamesLW8062026214071448027477.50%87148.930000100011100054.55%111418000.7300000012
12Christian FolinFlamesD732232512560781036826262.94%87149720.52145101820005208100%01951000.3300000001
13Esa LindellFlamesD80817257100719611834386.78%71142017.7520214212000021010%02340000.3501000001
14Kyle PalmieriFlamesRW801112234180462781174213.58%86137.66000001011221262.50%81410000.7502000131
15Anders LeeFlamesC8071421-218071509031617.78%197589.480000140000950053.07%277129000.5500000101
16Colin WilsonFlamesC7581119-3260685980184910.00%1577010.2700000000083154.52%3982115000.4900000001
17Colby RobakFlamesD7001212934046693924140%72102014.58000040113200000%01633000.2400000000
18David SavardFlamesD69156648041453212123.13%5088212.8000003000099010%0432000.1400000000
19Mathieu BrodeurFlamesD24044-320162812440%1334314.32011012000050000%0215000.2300000000
20Victor RaskFlamesC52136003330066.67%0377.6000000000000055.00%2000001.5800000010
21Rasmus AnderssonWranglers (Cal)D4011100405220%67619.0800001600001000%011000.2600000000
Statistiques d’équipe totales ou en moyenne1440268451719727035159415602526812137510.61%8452356916.376290152292269361016542300412751.11%4952552519540.61532000313746
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 GibsonFlames62352040.9032.953563211751810902420.824175921812
2Henrik LundqvistFlames2511820.8903.2712860070637314300.857142159110
Statistiques d’équipe totales ou en moyenne87462860.9003.034850212452447121672318080922


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/ANoYes1FalseFalsePro Only1,500,000$1,500,000$0$No------------------
Brad MarchandFlamesLW301988-01-01No183 Lbs5 ft9NoNoN/ANoYes3FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$-------NoNo-------
Bryan RustFlamesRW261992-01-01No192 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro 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/ANoYes2FalseFalsePro Only2,000,000$2,000,000$0$No2,200,000$--------No--------
Christopher GibsonFlamesG261992-01-01No190 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro Only2,400,000$2,400,000$0$No------------------
Colby RobakFlamesD281990-01-01No194 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only2,100,000$2,100,000$0$No------------------
Colin WilsonFlamesC291989-01-01No210 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro Only3,500,000$3,500,000$0$No------------------
David SavardFlamesD281990-01-01No219 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm2,000,000$2,000,000$0$No------------------
David UllstromFlamesLW291989-01-01No192 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only2,500,000$2,500,000$0$No------------------
Eric StaalFlamesC341984-01-01No205 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$--------No--------
Erik JohnsonFlamesD301988-01-01No232 Lbs6 ft4NoNoN/ANoYes4FalseFalsePro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$------NoNoNo------
Esa LindellFlamesD241994-01-01No187 Lbs6 ft3NoNoN/ANoYes3FalseFalsePro Only3,000,000$3,000,000$0$No3,500,000$4,000,000$-------NoNo-------
Henrik LundqvistFlamesG361982-01-01No198 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro 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/ANoYes1FalseFalsePro 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/ANoYes2FalseFalsePro Only2,500,000$2,500,000$0$No2,500,000$--------No--------
Mathieu BrodeurFlamesD281990-01-01No215 Lbs6 ft6NoNoN/ANoYes1FalseFalsePro & 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/ANoYes4FalseFalsePro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$------NoNoNo------
Sami VatanenFlamesD271991-01-01No183 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro Only4,000,000$4,000,000$0$No------------------
Tanner PearsonFlamesLW261992-01-01No193 Lbs6 ft0NoNoN/ANoYes3FalseFalsePro 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
1Tanner PearsonEric StaalJimmy Hayes60113
2Jake DeBruskPatrik 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
1Avalanche2100100012102110000006511000100065141.000122032001461631522233652718278225.00%9366.67%0950189750.08%951179852.89%630120452.33%382246173417
2Blackhawks312000001012-2110000006332020000049-520.33310172700352010721434309931265213323.08%13376.92%0950189750.08%951179852.89%630120452.33%643763265126
3Blues21100000880110000006421010000024-220.50081422004130551813240722426455240.00%14378.57%1950189750.08%951179852.89%630120452.33%372047193515
4Bruins40300001817-92020000068-22010000129-710.1258142200431012346334431354639701500.00%18194.44%0950189750.08%951179852.89%630120452.33%885285367135
5Canadiens330000001468220000008441100000062461.00014243800356010242283209333206210440.00%11190.91%0950189750.08%951179852.89%630120452.33%643864265025
6Canucks211000009631010000034-11100000062420.500915240035106530181705718163716425.00%80100.00%0950189750.08%951179852.89%630120452.33%422140193618
7Capitals21100000752110000006331010000012-120.500711180005206612332106628123410330.00%6183.33%0950189750.08%951179852.89%630120452.33%422443173417
8Devils2010001068-21010000025-31000001043120.500691500122150131621567173036100.00%15286.67%0950189750.08%951179852.89%630120452.33%412247203616
9Flyers6220101016151311010007613110001099080.667162541103832176567047617054441422827.14%22386.36%0950189750.08%951179852.89%630120452.33%134751215410956
10Golden Knights3110000167-12010000126-41100000041330.500671300411085352028510331305712216.67%150100.00%0950189750.08%951179852.89%630120452.33%643666295325
11Islanders300011101091100000106512000110044050.8331015250024229526353069733243616212.50%12283.33%0950189750.08%951179852.89%630120452.33%653767295426
12Jets32100000111011010000068-22200000052340.667112132003710983443210942130578112.50%15380.00%2950189750.08%951179852.89%630120452.33%663964264823
13Kings85300000282534310000014104422000001415-1100.62528457310991002577490930213629016938615.79%45491.11%1950189750.08%951179852.89%630120452.33%173961677713867
14Lightning210000101055110000005141000001054141.000101525002521653123104632212478225.00%6266.67%0950189750.08%951179852.89%630120452.33%452640183820
15Maple Leafs7510100026179321000001183430010001596120.85726467200712611947058651215756815243818.60%33487.88%0950189750.08%951179852.89%630120452.33%147801546712060
16Oilers40300001917-830200001812-41010000015-410.1259172600045011440393441134842861400.00%21766.67%1950189750.08%951179852.89%630120452.33%844685387436
17Panthers20101000550100010004311010000012-120.500591400202170272117560178381119.09%4175.00%0950189750.08%951179852.89%630120452.33%422344183618
18Penguins21000001752110000004131000000134-130.75071118000430711720327763218436116.67%9188.89%0950189750.08%951179852.89%630120452.33%422347183517
19Predators330000001284110000003212200000096361.00012213300255010637432608536166513430.77%8187.50%0950189750.08%951179852.89%630120452.33%664061255126
20Rangers2010010058-31000010012-11010000046-210.2505101500221066202719063201849700.00%9188.89%0950189750.08%951179852.89%630120452.33%442342193518
21Red Wings321000001082211000007701100000031240.6671015250035209744312201034226499222.22%13561.54%1950189750.08%951179852.89%630120452.33%664063265024
22Sabres311010001174211000007431000100043140.66711152601523110747293017829205613430.77%10280.00%0950189750.08%951179852.89%630120452.33%674161275125
23Senateurs31001010171252100001012841000100054161.000172845006452102343136310432265515426.67%13469.23%0950189750.08%951179852.89%630120452.33%673967285127
24Sharks413000001015-51100000053230300000512-720.250101727003250135454149011851309112433.33%16475.00%0950189750.08%951179852.89%630120452.33%834782357337
25Stars211000006601010000034-11100000032120.50061016002220571718220401616397114.29%80100.00%0950189750.08%951179852.89%630120452.33%402242203718
Total80342807254273251224019140212214812622401514051321251250980.61327345172421741068112252685184580653244984570515943386218.34%3535883.57%6950189750.08%951179852.89%630120452.33%172397917217461413703
_Since Last GM Reset80342807254273251224019140212214812622401514051321251250980.61327345172421741068112252685184580653244984570515943386218.34%3535883.57%6950189750.08%951179852.89%630120452.33%172397917217461413703
_Vs Conference50261704021174152222514801011947519251290301080773650.650174291465214768536159554454649815148551443810362164219.44%2204181.36%5950189750.08%951179852.89%630120452.33%10886231058461872436
_Vs Division21126020107057131063010003224811630101038335300.7147011618620192919362720021820575981912024631091614.68%1001189.00%1950189750.08%951179852.89%630120452.33%455253443199368184

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8098L227345172425262449845705159421
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8034287254273251
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4019142122148126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015145132125125
Derniers 10 matchs
WLOTWOTL SOWSOL
322210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3386218.34%3535883.57%6
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
85184580653741068112
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
950189750.08%951179852.89%630120452.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172397917217461413703


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
311Flames4Maple Leafs2WSommaire du match
517Flames2Sharks4LSommaire du match
621Flames3Kings2WR1Sommaire du match
726Kings1Flames3WSommaire du match
1148Oilers6Flames4LSommaire du match
1361Flames3Flyers2WSommaire du match
1464Flames4Maple Leafs3WXSommaire du match
1678Maple Leafs1Flames4WSommaire du match
21102Kings2Flames4WR1Sommaire du match
24117Flames3Kings7LSommaire du match
25126Flyers1Flames3WSommaire du match
28143Red Wings3Flames5WSommaire du match
33164Maple Leafs4Flames6WSommaire du match
37188Canadiens1Flames2WSommaire du match
38195Flames1Sharks5LSommaire du match
43214Jets8Flames6LSommaire du match
45225Flames4Rangers6LSommaire du match
47240Flames2Sharks3LSommaire du match
49245Flames3Stars2WSommaire du match
50254Capitals3Flames6WSommaire du match
53272Sabres0Flames6WSommaire du match
55286Flames1Panthers2LSommaire du match
57297Blackhawks3Flames6WSommaire du match
59309Flames3Penguins4LXXSommaire du match
62325Blues4Flames6WSommaire du match
66344Lightning1Flames5WSommaire du match
69358Flames2Jets1WSommaire du match
71368Flames6Canucks2WSommaire du match
72377Maple Leafs3Flames1LSommaire du match
76395Sharks3Flames5WSommaire du match
78407Flames4Golden Knights1WSommaire du match
82423Flames6Avalanche5WXSommaire du match
83430Senateurs4Flames5WXXSommaire du match
87450Red Wings4Flames2LSommaire du match
91470Flames2Blues4LSommaire du match
92477Predators2Flames3WSommaire du match
96500Bruins4Flames3LSommaire du match
98507Flames3Jets1WSommaire du match
102525Bruins4Flames3LSommaire du match
104543Flames4Devils3WXXSommaire du match
106550Penguins1Flames4WSommaire du match
110573Canucks4Flames3LSommaire du match
112587Flames1Bruins7LSommaire du match
115600Oilers3Flames2LXXSommaire du match
119626Sabres4Flames1LSommaire du match
121634Flames3Red Wings1WSommaire du match
123652Flyers1Flames2WXSommaire du match
125660Flames4Sabres3WXSommaire du match
129678Islanders5Flames6WXXSommaire du match
131689Flames1Capitals2LSommaire du match
133703Flames2Kings4LR1Sommaire du match
134706Devils5Flames2LSommaire du match
136723Flames1Blackhawks4LSommaire du match
138731Avalanche5Flames6WSommaire du match
143751Flames3Blackhawks5LSommaire du match
144759Golden Knights3Flames0LSommaire du match
147779Flames5Senateurs4WXSommaire du match
148783Stars4Flames3LSommaire du match
151801Flames4Flyers3WXXSommaire du match
153809Flyers4Flames2LSommaire du match
156828Flames3Maple Leafs2WSommaire du match
157835Canadiens3Flames6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160849Flames4Predators3WSommaire du match
162860Flames6Kings2WR1Sommaire du match
163865Senateurs4Flames7WSommaire du match
166882Flames1Oilers5LSommaire du match
167888Golden Knights3Flames2LXXSommaire du match
169896Flames1Bruins2LXXSommaire du match
172914Oilers3Flames2LSommaire du match
173923Flames5Predators3WSommaire du match
176935Flames2Islanders3LXSommaire du match
177944Panthers3Flames4WXSommaire du match
180960Flames4Maple Leafs2WSommaire du match
181968Rangers2Flames1LXSommaire du match
182972Flames5Lightning4WXXSommaire du match
186987Flames2Islanders1WXSommaire du match
1881000Kings2Flames5WR1Sommaire du match
1901008Flames6Canadiens2WSommaire du match
1921021Kings5Flames2LR1Sommaire du match
1961038Flames2Flyers4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance236,910195,55878,244158,03739,039
Attendance PCT98.71%97.78%97.81%98.77%97.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17695 - 98.30% 1,435,250$57,410,008$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
66,480,344$ 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
325,379$ 64,321,250$ 2,068,290$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 335,480$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
15,159$ 35,851,304$ 35,836,145$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
64,321,250$ 37,530,054$ 101,851,304$ 29,321,250$



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

[2024-04-06 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!



[2024-05-10 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.
[2024-04-08 7:29:51 PM] Dominik Masin of Flames was sent to pro.
[2024-04-07 10:50:41 PM] Game 896 - Christian Folin from Flames is injured (Left Hip) and is out for 2 weeks.
[2024-04-06 6:59:32 PM] Last 7 Days Pro Star : 1 - Eric Staal of Flames (6-3-9) / 2 - John Gibson of Sabres (0.944) / 3 - Brayden Schenn of Islanders (3-5-8)
[2024-04-06 6:59:21 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-04 7:18:50 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-03 7:21:49 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-04-02 7:43:56 AM] Game 865 - Colby Robak from Flames is injured (Left Ankle) and is out for 3 weeks.
[2024-03-29 8:11:27 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-03-29 7:57:39 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-03-26 7:06:57 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2024-03-26 7:00:37 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