Flames
GP: 13 | W: 6 | L: 7
GF: 36 | GA: 40 | PP%: 18.18% | PK%: 78.72%
DG: Benoit Talbot | Morale : 10 | Moyenne d’équipe : 70
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Flames
6-7-0, 12pts
3
FINAL
2 Blackhawks
8-8-0, 16pts
Team Stats
L1StreakL3
2-4-0Home Record2-6-0
4-3-0Away Record6-2-0
4-4-2Last 10 Games4-4-2
2.77Goals Per Game3.13
3.08Goals Against Per Game3.25
18.18%Power Play Percentage21.54%
78.72%Penalty Kill Percentage82.76%
Blackhawks
8-8-0, 16pts
5
FINAL
2 Flames
6-7-0, 12pts
Team Stats
L3StreakL1
2-6-0Home Record2-4-0
6-2-0Away Record4-3-0
4-4-2Last 10 Games4-4-2
3.13Goals Per Game2.77
3.25Goals Against Per Game3.08
21.54%Power Play Percentage18.18%
82.76%Penalty Kill Percentage78.72%
Meneurs d'équipe
Victoires
Alexandar Georgiev
6
Pourcentage d’arrêts
Alexandar Georgiev
0.91

Statistiques d’équipe
Buts pour
36
2.77 GFG
Tirs pour
452
34.77 Avg
Pourcentage en avantage numérique
18.2%
10 GF
Début de zone offensive
42.5%
Buts contre
40
3.08 GAA
Tirs contre
422
32.46 Avg
Pourcentage en désavantage numérique
78.7%
10 GA
Début de la zone défensive
36.6%
Information d’équipe

Directeur généralBenoit Talbot
EntraîneurPaul MacLean
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,731
Billets de saison2,100


Information formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 60
Espoirs40


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
1Jake Guentzel (R)X100.0069398578718788905987909378716962677902632,500,000$
2Jake DeBrusk (R)X100.0063357877738787896696868867585981647802411,288,330$
3Danton Heinen (R)X100.0063418677738395916689767553725655617502531,250,000$
4Kevin Fiala (R)X100.0057398378698088885388846974676883637502411,000,000$
5Oscar Lindberg (R)X100.007835716976848688818381775879605350750291900,000$
6Roope Hintz (R)X100.007942847687828080797577757667697360730242811,667$
7Joel Armia (R)X100.008743847089817976547476867173697060730281800,000$
8Adrian Kempe (R)X100.007344787281838978777672797267667759720243800,000$
9Devin Shore (R)X100.005937907175729878717769806674624760710262700,000$
10Daniel Carr (R)X100.006242886573807770617067696577695659660292575,000$
11Henrik Borgstrom (R)X100.006443866483807773736762706665628139660232925,000$
12Alan Quine (R)X100.006143906675777671677165696673675260660282575,000$
13Thomas Chabot (R)X100.0067357979759483903095808569575981557602432,000,000$
14Joel Edmundson (R)X100.0084556366898584723077758852736762537502822,000,000$
15Ladislav SmidX100.009979456277828387506655725099992853730353900,000$
16Darren Dietz (R)X100.009545826375628777256857795059554358690272600,000$
17Haydn Fleury (R)X100.0067428367857872733074617252676485516802411,713,330$
18Noah Dobson (R)X100.005842876883746173307557695160638731650213894,167$
Rayé
1Josh Norris (R)X100.006238866579857470766867696361658320660223925,000$
2Kevin Stenlund (R)X100.006646896288837868726562676267636820650242864,166$
3Mitchell Stephens (R)X100.005945896172777370766663696465637720640243833,333$
4Givani Smith (R)X100.006453816182747366526361675963627420630233714,166$
5Brett CarsonX100.006027996280626651244947805099995420660352575,000$
6Dean Kukan (R)X100.005641896379827268307155714973673623660272725,000$
7Jeremy Lauzon (R)X100.006349796178807666306459715365627223650242747,500$
8Joel Hanley (R)X100.005842826071787265306560635377675219630301575,000$
9Evan Bouchard (R)X100.006035775777725364306260645059528620600212925,000$
MOYENNE D’ÉQUIPE100.00684382677879797553736875617066664469
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
1Alexandar Georgiev (R)100.00919593769294969494918767716266870
2Magnus Hellberg (R)100.00798682828289808981737486854860810
Rayé
MOYENNE D’ÉQUIPE100.0085918879879288928882817778556384
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul MacLean91717488998378FRA6221,000,000$


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
1Jake DeBruskFlames (CGY)RW1381119560192250153116.00%627120.8926814541012440129.41%17132101.4000000200
2Jake GuentzelFlames (CGY)LW138816520232560182013.33%827321.0443718540111462043.16%9576001.1700000032
3Oscar LindbergFlames (CGY)C132131538026232719187.41%524318.721563540002181156.58%28121001.2300000013
4Danton HeinenFlames (CGY)C13437-5201832438109.30%721816.78202738000040149.52%210104000.6400000100
5Thomas ChabotFlames (CGY)D13167012020291712135.88%1931524.25011058000042000.00%0610000.4400000100
6Kevin FialaFlames (CGY)RW13066-6601514529270.00%223317.930221380002180038.89%1882000.5100000000
7Roope HintzFlames (CGY)LW13505-4402715164931.25%322617.400000380001112041.67%1225000.4400000000
8Devin Shore Flames (CGY)C13145-30014293310223.03%219815.26000000000140053.33%21023000.5000000000
9Ladislav SmidFlames (CGY)D130441240411714830.00%1627020.79011034000022000.00%034000.3000000000
10Joel ArmiaFlames (CGY)RW13303-40022122281413.64%1218414.1600000000001053.85%1361000.3300000110
11Adrian KempeFlames (CGY)LW13123-4401617339173.03%718414.1700000000000050.00%843000.3300000000
12Joel EdmundsonFlames (CGY)D1320201403128183811.11%1131324.09101158000040000.00%037000.1300000000
13Darren DietzFlames (CGY)D13022100191910540.00%1527821.42011034000031000.00%025000.1400000000
14Daniel CarrFlames (CGY)RW1310100091114169.09%3927.1000000000000050.00%223000.2200000000
15Henrik BorgstromFlames (CGY)C1301100010711640.00%2917.0500000000000044.83%2911000.2200000000
16Haydn FleuryFlames (CGY)D13011-58013209620.00%1920215.580000000002000.00%017000.1000000000
17Alan QuineFlames (CGY)LW1301100045231090.00%3937.1600000000010066.67%310000.2100000000
18Noah DobsonFlames (CGY)D13011-5207103250.00%1622016.9900000000021000.00%025000.0900000000
Statistiques d’équipe totales ou en moyenne234366399-219203343254521562327.96%156391016.711019294446611283206351.22%8987569100.5100000555
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
1Alexandar GeorgievFlames (CGY)126420.9102.986850034377154010.0000121101
2Magnus HellbergFlames (CGY)30100.8862.681122054420000.0000112000
Statistiques d’équipe totales ou en moyenne156520.9072.947972039421174010.00001313101


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adrian KempeFlames (CGY)LW241996-09-13 05:44:01Yes201 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Alan QuineFlames (CGY)LW281993-02-25 18:35:24Yes203 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Alexandar GeorgievFlames (CGY)G251996-02-10 10:25:08Yes179 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
Brett CarsonFlames (CGY)D351985-11-29 11:11:13No220 Lbs6 ft4NoNoNo2Pro & Farm575,000$0$0$No575,000$
Daniel CarrFlames (CGY)RW291991-10-31 07:15:35Yes194 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Danton HeinenFlames (CGY)C251995-07-05 09:18:29Yes188 Lbs6 ft1NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
Darren DietzFlames (CGY)D271993-07-16 06:42:37Yes206 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Dean KukanFlames (CGY)D271993-07-08 06:33:23Yes186 Lbs6 ft2NoNoNo2Pro & Farm725,000$0$0$No725,000$
Devin Shore Flames (CGY)C261994-07-18 18:38:49Yes205 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$
Evan BouchardFlames (CGY)D211999-10-20 02:25:19Yes194 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
Givani SmithFlames (CGY)RW231998-02-27 01:21:12Yes205 Lbs6 ft2NoNoNo3Pro & Farm714,166$0$0$No714,166$714,166$
Haydn FleuryFlames (CGY)D241996-07-08 04:00:49Yes221 Lbs6 ft3NoNoNo1Pro & Farm1,713,330$0$0$No
Henrik BorgstromFlames (CGY)C231997-08-06 02:20:11Yes190 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
Jake DeBruskFlames (CGY)RW241996-10-17 13:20:08Yes188 Lbs6 ft0NoNoNo1Pro & Farm1,288,330$0$0$No
Jake GuentzelFlames (CGY)LW261994-10-06 05:45:54Yes180 Lbs5 ft11NoNoNo3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$
Jeremy LauzonFlames (CGY)D241997-04-28 02:22:22Yes204 Lbs6 ft1NoNoNo2Pro & Farm747,500$0$0$No747,500$
Joel ArmiaFlames (CGY)RW281993-05-31 11:11:13Yes210 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$No
Joel EdmundsonFlames (CGY)D281993-06-28 04:30:16Yes215 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Joel HanleyFlames (CGY)D301991-06-08 06:37:23Yes190 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Josh NorrisFlames (CGY)C221999-05-05 02:56:41Yes192 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Kevin FialaFlames (CGY)RW241996-07-22 05:11:13Yes193 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$0$0$No
Kevin StenlundFlames (CGY)C241996-09-20 02:17:36Yes210 Lbs6 ft4NoNoNo2Pro & Farm864,166$0$0$No864,166$
Ladislav SmidFlames (CGY)D351986-02-01 17:11:13No212 Lbs6 ft3NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Magnus HellbergFlames (CGY)G301991-04-04 23:11:14Yes192 Lbs6 ft5NoNoNo1Pro & Farm800,000$0$0$No
Mitchell StephensFlames (CGY)C241997-02-05 03:05:21Yes194 Lbs6 ft0NoNoNo3Pro & Farm833,333$0$0$No833,333$833,333$
Noah DobsonFlames (CGY)D212000-01-07 03:09:05Yes183 Lbs6 ft4NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Oscar LindbergFlames (CGY)C291991-10-29 23:11:13Yes202 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Roope HintzFlames (CGY)LW241996-11-17 02:27:43Yes215 Lbs6 ft3NoNoNo2Pro & Farm811,667$0$0$No811,667$
Thomas ChabotFlames (CGY)D241997-01-30 05:55:22Yes196 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.00199 Lbs6 ft22.03994,540$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake GuentzelOscar LindbergJake DeBrusk30122
2Roope HintzDanton HeinenKevin Fiala30122
3Adrian KempeDevin Shore Joel Armia30122
4Alan QuineHenrik BorgstromDaniel Carr10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotJoel Edmundson34122
2Ladislav SmidDarren Dietz34122
3Haydn FleuryNoah Dobson32122
4Thomas ChabotJoel Edmundson0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake GuentzelOscar LindbergJake DeBrusk60122
2Roope HintzDanton HeinenKevin Fiala40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotJoel Edmundson60122
2Ladislav SmidDarren Dietz40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake GuentzelJake DeBrusk60122
2Kevin FialaOscar Lindberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotJoel Edmundson60122
2Ladislav SmidDarren Dietz40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Guentzel60122Thomas ChabotJoel Edmundson60122
2Jake DeBrusk40122Ladislav SmidDarren Dietz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake GuentzelJake DeBrusk60122
2Kevin FialaOscar Lindberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas ChabotJoel Edmundson60122
2Ladislav SmidDarren Dietz40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake GuentzelOscar LindbergJake DeBruskThomas ChabotJoel Edmundson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake GuentzelOscar LindbergJake DeBruskThomas ChabotJoel Edmundson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Armia, Adrian Kempe, Devin Shore Joel Armia, Adrian KempeDevin Shore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Haydn Fleury, Noah Dobson, Ladislav SmidHaydn FleuryNoah Dobson, Ladislav Smid
Tirs de pénalité
Jake Guentzel, Jake DeBrusk, Kevin Fiala, Oscar Lindberg, Danton Heinen
Gardien
#1 : Alexandar Georgiev, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Jake Guentzel, Jake DeBrusk, Kevin Fiala, Oscar Lindberg, Danton Heinen, Joel Armia, Joel Armia, Roope Hintz, Adrian Kempe, Devin Shore , Alan Quine
Lignes de défense personnalisées en prolongation
Thomas Chabot, Joel Edmundson, Ladislav Smid, Darren Dietz, Haydn Fleury


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
1Blackhawks624000001522-730300000613-73210000099040.333152540101411922061411461541120377541342129.52%27870.37%020438253.40%16632950.46%9018748.13%306184270114220112
2Predators743000002118332100000963422000001212080.5712138590014119224614114615411219794020034823.53%20290.00%120438253.40%16632950.46%9018748.13%306184270114220112
Total1367000003640-4624000001519-47430000021210120.462366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112
_Since Last GM Reset1367000003640-4624000001519-47430000021210120.462366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112
_Vs Conference1367000003640-4624000001519-47430000021210120.462366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1312L13663994524221569433410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
136700003640
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62400001519
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002121
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551018.18%471078.72%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
14114615411141192
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
20438253.40%16632950.46%9018748.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
306184270114220112


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2020-12-185Flames5Predators3WSommaire du match
4 - 2020-12-2013Flames1Predators4LSommaire du match
6 - 2020-12-2221Predators1Flames2WXSommaire du match
8 - 2020-12-2429Predators2Flames5WSommaire du match
10 - 2020-12-2637Flames2Predators3LXSommaire du match
12 - 2020-12-2845Predators3Flames2LXSommaire du match
14 - 2020-12-3053Flames4Predators2WSommaire du match
16 - 2021-01-0159Flames2Blackhawks4LSommaire du match
18 - 2021-01-0363Flames4Blackhawks3WXSommaire du match
20 - 2021-01-0567Blackhawks4Flames2LSommaire du match
22 - 2021-01-0771Blackhawks4Flames2LSommaire du match
24 - 2021-01-0975Flames3Blackhawks2WSommaire du match
26 - 2021-01-1179Blackhawks5Flames2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance10,5265,860
Assistance PCT87.72%97.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2731 - 91.03% 139,538$837,230$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,884,167$ 1,606,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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