STOCKTON Flames
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Francis Pilote | Morale : 99 | Moyenne d’équipe : 65
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralFrancis Pilote
EntraîneurWillie Desjardins
DivisionSlavinski
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 55
Espoirs20


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique43-33-2 (0.551%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)2-4
Stanley Cup0


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
1Filip ChytilX100.005435947781828075786771687663668299720204900,000$
2Robert ThomasXX100.0052359176728185757977665873636482997102132,000,000$
3Curtis McKenzieX100.007255716182798558646259616278733999690292750,000$
4Denis MalginXXX100.0066358467658574687266636165676459996802321,200,000$
5Lias AnderssonXX100.006239876675778167726564636865648699680212900,000$
6Carter CamperX100.005639855966828461776658576281732699670322750,000$
7Cooper MarodyX100.006246796172747864776362596169654799660232750,000$
8Jakob Forsbacka KarlssonX100.005635756874646468706361586451507399630232750,000$
9Alexander NylanderXX100.005135716976565669546363546451508799610222750,000$
10Victor EjdsellX100.006489676892505068505858505850504399600254750,000$
11Max Gortz (R)X100.004935796877474357305450515360507199560274750,000$
12Grayson DowningXX100.005089695673475056705252505250503799540284750,000$
13Robert BortuzzoX100.0084776862897882593066578155807342997203141,100,000$
14Oliver KylingtonX100.006235917371838169306758565467696599690232750,000$
15Kyle WoodX100.009050785499818655305453624669656299680245750,000$
16Gustav LindstromX100.007642856278877363306557645065637599680212750,000$
17Tyler WotherspoonX100.007346806182788358305952634675715899670273750,000$
18Niklas Hansson (R)X100.005089656473495064305454505450504399560251800,000$
19Trevor MurphyX100.005089566866505068305045515550504399540252750,000$
Rayé
MOYENNE D’ÉQUIPE100.00625278657770706453625859596361599965
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
1Jon Gillies100.00719492977069717069717073775699680
2Spencer Martin100.00708785836968706968706971756499660
Rayé
MOYENNE D’ÉQUIPE100.0071918990706971706971707276609967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Willie Desjardins73717174848444CAN651400,000$


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 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
Alexander NylanderSTOCKTON Flames (CGY)LW/RW2202/03/1998No87 Kg185 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Carter CamperSTOCKTON Flames (CGY)C3206/07/1988No80 Kg175 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Cooper MarodySTOCKTON Flames (CGY)C2320/12/1996No84 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Curtis McKenzieSTOCKTON Flames (CGY)LW2922/02/1991No93 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Denis MalginSTOCKTON Flames (CGY)C/LW/RW2318/01/1997No80 Kg175 CMNoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Lien
Filip ChytilSTOCKTON Flames (CGY)C2005/09/1999No94 Kg188 CMNoNoNo4Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$Lien
Grayson DowningSTOCKTON Flames (CGY)C/RW2818/04/1992No89 Kg183 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Gustav LindstromSTOCKTON Flames (CGY)D2120/10/1998No86 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jakob Forsbacka KarlssonSTOCKTON Flames (CGY)C2331/10/1996No84 Kg185 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jon GilliesSTOCKTON Flames (CGY)G2622/01/1994No101 Kg198 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Kyle WoodSTOCKTON Flames (CGY)D2404/05/1996No107 Kg201 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Lias AnderssonSTOCKTON Flames (CGY)C/LW2113/10/1998No86 Kg185 CMNoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$Lien
Max GortzSTOCKTON Flames (CGY)RW2728/01/1993Yes95 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Niklas HanssonSTOCKTON Flames (CGY)D2508/01/1995Yes82 Kg185 CMNoNoNo1Pro & Farm800,000$800,000$500,000$500,000$0$0$No
Oliver KylingtonSTOCKTON Flames (CGY)D2319/05/1997No83 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Robert BortuzzoSTOCKTON Flames (CGY)D3118/03/1989No98 Kg193 CMNoNoNo4Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$1,100,000$Lien
Robert ThomasSTOCKTON Flames (CGY)C/RW2102/07/1999No85 Kg183 CMNoNoNo3Pro & Farm2,000,000$2,000,000$750,000$750,000$0$0$No2,000,000$2,000,000$Lien
Spencer MartinSTOCKTON Flames (CGY)G2508/06/1995No91 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Trevor MurphySTOCKTON Flames (CGY)D2517/07/1995No82 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Tyler WotherspoonSTOCKTON Flames (CGY)D2712/03/1993No94 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Victor EjdsellSTOCKTON Flames (CGY)C2506/06/1995No97 Kg196 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.8190 Kg185 CM2.81864,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lias Andersson35122
2Alexander NylanderGrayson Downing27122
3Denis MalginCarter Camper23122
4Lias Andersson15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle WoodTyler Wotherspoon31122
226122
3Niklas Hansson23122
4Trevor MurphyKyle Wood20122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lias Andersson55122
2Alexander NylanderGrayson Downing45122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle WoodTyler Wotherspoon55122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Alexander Nylander45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle WoodTyler Wotherspoon55122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Kyle WoodTyler Wotherspoon55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
2Carter CamperAlexander Nylander45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle WoodTyler Wotherspoon55122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle WoodTyler Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle WoodTyler Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Lias Andersson, Cooper Marody, Lias Andersson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Niklas Hansson, Trevor Murphy, Niklas Hansson
Tirs de pénalité
, , Carter Camper, Denis Malgin,
Gardien
#1 : Jon Gillies, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
, , , Denis Malgin, , Lias Andersson, Lias Andersson, Cooper Marody, Jakob Forsbacka Karlsson, Alexander Nylander, Victor Ejdsell
Lignes de défense personnalisées en prolongation
Kyle Wood, Tyler Wotherspoon, , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 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



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%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,815,000$ 1,660,000$ 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$ 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
Saison régulière
368040330132131019611440201601111164101634020170021014695519031055486429124109745290997696395034232561260415142215424.43%2814185.41%91476256057.66%1287245452.44%675123054.88%211415631780517925476
Total Saison régulière8040330132131019611440201601111164101634020170021014695519031055486429124109745290997696395034232561260415142215424.43%2814185.41%91476256057.66%1287245452.44%675123054.88%211415631780517925476
Séries éliminatoires
36624000001423-932100000119230300000314-1141425390034611605252479198425010926623.08%20575.00%011020753.14%10622746.70%509652.08%158110147488441
Total Séries éliminatoires624000001423-932100000119230300000314-1141425390034611605252479198425010926623.08%20575.00%011020753.14%10622746.70%509652.08%158110147488441