Flames
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sebastien Tessier | Morale : 50 | Moyenne d'Équipe : N/A
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Adam BrooksX100.00686381636365666278596261594444635000242925,000$
2Brendan PerliniXX100.006743918479577165255856617564646250002411,999,999$
3Colin White (A)XX100.00715281816770847677716058536464665000231750,000$
4Drake BathersonXX100.00877583777170907654756457254747694500222773,333$
5Jacob de La RoseXX100.00894693777957726062625678256465655300251750,000$
6Owen Tippett (R)XX100.008178886778666766506266686344446848002111,627,500$
7Emil Bemstrom (R)X100.007342958265626968346471542550506850002132,133,333$
8Jaret Anderson-Dolan (R)XX100.00726783796763645974595462514444615000203913,333$
9Nic PetanXXX100.00634191796258576932655566255959635000251500,000$
10Riley Tufte (R)X100.00858878618862655150514666444444565000223995,833$
11Carson SoucyX100.00784589647967785925505478255960634900253775,000$
12Greg PaterynX100.00784590718267685625514784256465624700301800,000$
13Parker Wotherspoon (R)X100.00636264636276835225494156394444535000223854,722$
14Chris BigrasX100.00757183637160635425494165395757555000253700,000$
15Madison BoweyX100.00754481777374696225604875255757635000251902,500$
16Haydn FleuryX100.007645937282626458255650727558596250002321,713,333$
Rayé
MOYENNE D'ÉQUIPE100.0075578573736571624359546642545462500
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
1Carter Hutton100.0065737276725857656365716465655000
2Thatcher Demko100.0066585681656668677566754747664600
Rayé
1Filip Gustavsson100.0050577172475250555050304444514400
MOYENNE D'ÉQUIPE100.006063667661595862636059525261470
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton77768986514890CAN3731,750,000$


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
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


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 RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam BrooksFlames (CGY)C241996-05-06No174 Lbs5 ft11NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Brendan PerliniFlames (CGY)LW/RW241996-04-27No212 Lbs6 ft3NoNoNo1Pro & Farm1,999,999$1,999,999$0$0$NoLien
Carson SoucyFlames (CGY)D251994-07-27No208 Lbs6 ft5NoNoNo3Pro & Farm775,000$750,000$0$0$No750,000$750,000$Lien
Carter HuttonFlames (CGY)G341985-12-18No202 Lbs6 ft1NoNoNo1Pro & Farm2,750,000$2,750,000$0$0$NoLien
Chris BigrasFlames (CGY)D251995-02-22No190 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Colin WhiteFlames (CGY)C/RW231997-01-30No183 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Drake BathersonFlames (CGY)C/RW221998-04-26No187 Lbs6 ft1NoNoNo2Pro & Farm773,333$773,333$0$0$No773,333$Lien
Emil BemstromFlames (CGY)C211999-06-01Yes181 Lbs5 ft10NoNoNo3Pro & Farm2,133,333$1,633,333$0$0$No1,633,333$1,633,333$Lien
Filip GustavssonFlames (CGY)G221998-06-07No184 Lbs6 ft2NoNoNo2Pro & Farm910,833$450,000$0$0$No910,833$Lien
Greg PaterynFlames (CGY)D301990-06-20No224 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Haydn FleuryFlames (CGY)D231996-07-08No221 Lbs6 ft3NoNoNo2Pro & Farm1,713,333$1,713,333$0$0$No1,713,333$Lien
Jacob de La RoseFlames (CGY)C/LW251995-05-19No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Jaret Anderson-DolanFlames (CGY)C/LW201999-09-11Yes188 Lbs5 ft11NoNoNo3Pro & Farm913,333$913,333$0$0$No913,333$913,333$
Madison BoweyFlames (CGY)D251995-04-22No198 Lbs6 ft2NoNoNo1Pro & Farm902,500$902,500$0$0$NoLien
Nic PetanFlames (CGY)C/LW/RW251995-03-21No179 Lbs5 ft9NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien
Owen TippettFlames (CGY)LW/RW211999-02-15Yes216 Lbs6 ft1NoNoNo1Pro & Farm1,627,500$450,000$0$0$NoLien
Parker WotherspoonFlames (CGY)D221997-08-24Yes168 Lbs6 ft0NoNoNo3Pro & Farm854,722$854,722$0$0$No854,722$854,722$
Riley TufteFlames (CGY)LW221998-04-09Yes230 Lbs6 ft6NoNoNo3Pro & Farm995,833$995,833$0$0$No995,833$995,833$
Thatcher DemkoFlames (CGY)G241995-12-07No192 Lbs6 ft4NoNoNo3Pro & Farm1,050,000$1,050,000$0$0$No1,050,000$1,050,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.05197 Lbs6 ft11.951,148,669$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Owen TippettColin WhiteDrake Batherson35122
2Jaret Anderson-DolanEmil Bemstrom30122
3Nic PetanJacob de La RoseBrendan Perlini25122
4Riley TufteAdam Brooks10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyGreg Pateryn35122
2Madison BoweyHaydn Fleury30122
3Chris BigrasParker Wotherspoon25122
4Greg PaterynMadison Bowey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Drake BathersonColin WhiteOwen Tippett60122
2Brendan PerliniEmil Bemstrom40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyGreg Pateryn60122
2Madison BoweyHaydn Fleury40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseDrake Batherson60122
2Adam BrooksRiley Tufte40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson SoucyGreg Pateryn60122
2Madison BoweyHaydn Fleury40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jacob de La Rose60122Carson SoucyGreg Pateryn60122
2Adam Brooks40122Madison BoweyHaydn Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteDrake Batherson60122
2Jacob de La Rose40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn FleuryGreg Pateryn60122
2Madison BoweyCarson Soucy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Drake BathersonColin WhiteOwen TippettCarson SoucyGreg Pateryn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley TufteJacob de La RoseBrendan PerliniCarson SoucyGreg Pateryn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaret Anderson-Dolan, Riley Tufte, Brendan PerliniJaret Anderson-Dolan, Riley TufteBrendan Perlini
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris Bigras, Parker Wotherspoon, Madison BoweyChris BigrasParker Wotherspoon, Madison Bowey
Tirs de Pénalité
Brendan Perlini, Drake Batherson, Haydn Fleury, Colin White, Jaret Anderson-Dolan
Gardien
#1 : Thatcher Demko, #2 : Carter Hutton


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,182,470$ 1,918,637$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
202082372902149183180341191402033998712411815001168493-99618330548817686049171441485486460611462399114814614945811.74%4965888.31%21119220050.86%1138218552.08%571111351.30%2054142219206201019514
Total Saison Régulière82372902149183180341191402033998712411815001168493-99618330548817686049171441485486460611462399114814614945811.74%4965888.31%21119220050.86%1138218552.08%571111351.30%2054142219206201019514