Connexion

Flames
GP: 4 | W: 0 | L: 4
GF: 16 | GA: 22 | PP%: 26.67% | PK%: 57.14%
DG: Maxime Lacroix Plante | Morale : 64 | Moyenne d’équipe : 66
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Kraken
10-5-0, 20pts
7
FINAL
5 Flames
0-4-0, 0pts
Team Stats
L3StreakL4
6-2-0Home Record0-2-0
4-3-0Away Record0-2-0
5-4-1Last 10 Games0-4-0
3.53Buts par match 4.00
2.87Buts contre par match 5.50
26.00%Pourcentage en avantage numérique26.67%
79.31%Pourcentage en désavantage numérique57.14%
Kraken
10-5-0, 20pts
5
FINAL
4 Flames
0-4-0, 0pts
Team Stats
L3StreakL4
6-2-0Home Record0-2-0
4-3-0Away Record0-2-0
5-4-1Last 10 Games0-4-0
3.53Buts par match 4.00
2.87Buts contre par match 5.50
26.00%Pourcentage en avantage numérique26.67%
79.31%Pourcentage en désavantage numérique57.14%
Meneurs d'équipe
Buts
Scott Perunovich
6
Passes
Mackenzie MacEachern
5
Points
Scott Perunovich
8
Plus/Moins
Rasmus Asplund
1
Victoires
Christopher Gibson
0
Pourcentage d’arrêts
Christopher Gibson
0.874

Statistiques d’équipe
Buts pour
16
4.00 GFG
Tirs pour
139
34.75 Avg
Pourcentage en avantage numérique
26.7%
4 GF
Début de zone offensive
37.1%
Buts contre
22
5.50 GAA
Tirs contre
175
43.75 Avg
Pourcentage en désavantage numérique
57.1%%
3 GA
Début de la zone défensive
43.1%
Informations de l'équipe

Directeur généralMaxime Lacroix Plante
EntraîneurMike Sullivan
DivisionCentrale
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure20
Limite contact 36 / 60
Espoirs35


Historique d'équipe

Saison actuelle0-4
Historique109-49-9 (0.653%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)7-11
Coupe Stanley0


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
1Rasmus Asplund (R)XXX100.00646097786178927375686970715656074690251900,000$
2Vinni LettieriX100.007260957073746078706670647455550746802831,500,000$
3Ty Dellandrea (R)XX100.00766080777774687781636867735555074680221900,000$
4Michael SgarbossaX100.006660997271606071816074637355550746703031,500,000$
5Michael PezzettaXX100.008860667186627162706567626555550746702531,500,000$
6Dakota JoshuaX100.008160877082646066866767666755550746702721,900,000$
7Mackenzie MacEachernX100.007460927078676067706262686555550726402931,300,000$
8Dennis CholowskiX100.00636094777460607750656666725555073660251900,000$
9William LagessonX100.007060907079646064506660736255550726602721,900,000$
10Scott Perunovich (R)X100.00626090786660608250606067715555056650242900,000$
Rayé
MOYENNE D’ÉQUIPE100.0072608973756665726864666769555507267
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 Gibson100.00786471866464626465646471700416623021,900,000$
2Garret Sparks100.00746265906262616265626273730196522921,900,000$
Rayé
1Oskar Dansk100.00826165796161616162616166670236322931,500,000$
2Magnus Hellberg100.00736165916161616162616165670236323231,400,000$
3Michael DiPietro (R)100.0081616576616160616261616364029632233900,000$
4Philippe Desrosiers100.00786060786060606060606060600236122731,700,000$
MOYENNE D’ÉQUIPE100.007862658362626162636262666702664
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan82889085838390USA5322,000,000$


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
1Scott PerunovichFlames (CGY)D4628020118132446.15%57719.4321371100004000.00%000012.0600000110
2Mackenzie MacEachernFlames (CGY)LW4156-40041112288.33%27117.79011311000010071.43%700001.6900000000
3Vinni LettieriFlames (CGY)C4325-440313173717.65%37117.90011410000010058.59%9900001.4000000000
4Michael SgarbossaFlames (CGY)C4134-3006597211.11%07218.03101510000000053.85%1300001.1100000000
5Rasmus AsplundFlames (CGY)C/LW/RW42241000221851111.11%19724.27022113000060047.68%15100000.8200000000
6Ty DellandreaFlames (CGY)C/RW413412071120385.00%29223.03112313000040055.56%900000.8700000000
7Dakota JoshuaFlames (CGY)C4123-420815156186.67%37017.7200000000010053.16%7900000.8500000001
8Dennis CholowskiFlames (CGY)D4022-300657190.00%38320.8801131200003000.00%000000.4800000000
9William LagessonFlames (CGY)D4011-340973470.00%138220.7100011200003000.00%000000.2400000000
10Michael PezzettaFlames (CGY)LW/RW410102019615156.67%18521.28000413000010025.00%800000.2300000000
Statistiques d’équipe totales ou en moyenne40162238-1916073103129347912.40%3380420.104711311100000290052.19%36600010.9500000111
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 GibsonFlames (CGY)40400.8745.5024000221750100.00%040000
Statistiques d’équipe totales ou en moyenne40400.8745.502400022175010040000


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 Waiver Possible Contrat Type Salaire actuel Plafond 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
Christopher GibsonFlames (CGY)G301992-12-27No217 Lbs6 ft2NoNoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Dakota JoshuaFlames (CGY)C271996-05-15No199 Lbs6 ft2NoNoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Dennis CholowskiFlames (CGY)D251998-02-15No195 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Garret SparksFlames (CGY)G291993-06-28No220 Lbs6 ft3NoNoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Mackenzie MacEachernFlames (CGY)LW291994-03-09No190 Lbs6 ft2NoNoNoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$Lien
Magnus HellbergFlames (CGY)G321991-04-04No209 Lbs6 ft5NoNoNoNo3Pro & Farm1,400,000$0$0$No1,400,000$1,400,000$Lien
Michael DiPietroFlames (CGY)G231999-06-09Yes200 Lbs6 ft0NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Michael PezzettaFlames (CGY)LW/RW251998-05-13No216 Lbs6 ft1NoNoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Michael SgarbossaFlames (CGY)C301992-07-25No182 Lbs6 ft0NoNoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Oskar DanskFlames (CGY)G291994-02-28No191 Lbs6 ft2NoNoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Philippe DesrosiersFlames (CGY)G271995-08-16No198 Lbs6 ft1NoNoNoNo3Pro & Farm1,700,000$0$0$No1,700,000$1,700,000$Lien
Rasmus AsplundFlames (CGY)C/LW/RW251997-12-03Yes176 Lbs5 ft5NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Scott PerunovichFlames (CGY)D241998-08-18Yes175 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Ty DellandreaFlames (CGY)C/RW222000-07-21Yes190 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Vinni LettieriFlames (CGY)C281995-02-06No191 Lbs5 ft11NoNoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
William LagessonFlames (CGY)D271996-02-22No207 Lbs6 ft2NoNoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1627.00197 Lbs6 ft12.311,406,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaRasmus AsplundTy Dellandrea40122
2Mackenzie MacEachernVinni LettieriMichael Sgarbossa30122
3Dakota Joshua20122
4Rasmus AsplundMichael SgarbossaTy Dellandrea10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDennis Cholowski40122
2Scott Perunovich30122
320122
4William LagessonDennis Cholowski10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaRasmus AsplundTy Dellandrea60122
2Mackenzie MacEachernVinni LettieriMichael Sgarbossa40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDennis Cholowski60122
2Scott Perunovich40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundTy Dellandrea60122
2Vinni LettieriDakota Joshua40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDennis Cholowski60122
2Scott Perunovich40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Asplund60122William LagessonDennis Cholowski60122
2Ty Dellandrea40122Scott Perunovich40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundTy Dellandrea60122
2Vinni LettieriDakota Joshua40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDennis Cholowski60122
2Scott Perunovich40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaRasmus AsplundTy DellandreaWilliam LagessonDennis Cholowski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaRasmus AsplundTy DellandreaWilliam LagessonDennis Cholowski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Pezzetta, Mackenzie MacEachern, Dakota JoshuaMichael Pezzetta, Mackenzie MacEachernDakota Joshua
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Perunovich, William Lagesson, Dennis CholowskiScott PerunovichWilliam Lagesson, Dennis Cholowski
Tirs de pénalité
Rasmus Asplund, Ty Dellandrea, Vinni Lettieri, Dakota Joshua, Michael Pezzetta
Gardien
#1 : Christopher Gibson, #2 : Garret Sparks


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
1Kraken404000001622-620200000912-320200000710-300.000162541006640139445342017537188115426.67%7357.14%07313753.28%8115950.94%387352.05%8056111304722
Total404000001622-620200000912-320200000710-300.000162541006640139445342017537188115426.67%7357.14%07313753.28%8115950.94%387352.05%8056111304722
_Since Last GM Reset404000001622-620200000912-320200000710-300.000162541006640139445342017537188115426.67%7357.14%07313753.28%8115950.94%387352.05%8056111304722
_Vs Conference404000001622-620200000912-320200000710-300.000162541006640139445342017537188115426.67%7357.14%07313753.28%8115950.94%387352.05%8056111304722

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L416254113917537188100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40400001622
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000912
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000710
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15426.67%7357.14%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
44534206640
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
7313753.28%8115950.94%387352.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8056111304722


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 - 2022-10-165Flames1Kraken3ALSommaire du match
4 - 2022-10-1813Flames6Kraken7ALSommaire du match
6 - 2022-10-2021Kraken7Flames5BLSommaire du match
8 - 2022-10-2229Kraken5Flames4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,250,000$ 2,250,000$ 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$ 3 0$ 0$




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
1Dennis Cholowski1583087117428019519929110.31%199315319.96915241210221430.00%00.7400
2Rasmus Asplund8240701104745728639210.20%28194223.69719266411262056.0201.1312
3Victor Rask1013867105192283623969.60%42220921.8715254060000106260.9700.9526
4Dakota Joshua16439599828792652344309.07%80228413.93101601127060.6010.8611
5Ty Dellandrea82435396414221817840110.72%24187022.81514197221379363.0301.0313

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
1Christopher Gibson137884250.9053.197849168417437501010.87516
2Garret Sparks121400.9093.5652220313400010.00%0
3Michael DiPietro30200.9222.6192004510020.00%0

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
Saison régulière
2021824526080213302607041231402011170124464122120601016013624111330591921161251039212325810871083106434279286555719082777426.71%2426373.97%41796315856.87%1553285454.41%756140054.00%2070148418625711021520
2022824923005503642709441268002501831127141231500300181158231133646451009341371289410344011241128117237270577556720092556525.49%2535677.87%61953333758.53%1513259158.39%826140958.62%218115851779533994521
Total Saison régulière1649449085716945301648249220226135323611782452706310341294472246941236193041026223118622669822112211223671549716401124391753213926.13%49511975.96%103749649557.72%3066544556.31%1582280956.32%425130693642110420161041
Séries éliminatoires
20211477000003541-67520000022202725000001321-8143565100001314714411171671441351215391316621320.97%36877.78%023149646.57%24553345.97%9921546.05%32022035210417785
2022404000001622-620200000912-320200000710-30162541006640139445342017537188115426.67%7357.14%07313753.28%8115950.94%387352.05%8056111304722
Total Séries éliminatoires18711000005163-12954000003132-1927000002031-1114519014100192011158016122018613687190109397771722.08%431174.42%030463348.03%32669247.11%13728847.57%400276464134224107

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
1Travis Dermott14310130145322348.82%3834024.30145190001100.00%00.7600
2Scott Perunovich186713-41447272623.08%2429116.2021370000000.00%10.8900
3Victor Rask147411-302565113.73%833824.173141000003054.4400.6500
4Pierre Engvall143710-802335417.32%728320.262351500010150.1400.7100
5Dakota Joshua185510-563132628.06%928816.01000000000151.7200.6900

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
1Christopher Gibson1871100.9053.58103900626540100.00%0
2Garret Sparks10000.9701.2050001330000.00%0