Connexion

Barbus
GP: 18 | W: 11 | L: 7
GF: 65 | GA: 48 | PP%: 23.96% | PK%: 73.68%
DG: Eric Plourde | Morale : 50 | Moyenne d’équipe : 65
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Centre de jeu
Requins
12-3-0, 24pts
3
FINAL
5 Barbus
11-7-0, 22pts
Team Stats
W1SéquenceL1
8-0-0Fiche domicile9-0-0
4-3-0Fiche domicile2-7-0
7-2-1Derniers 10 matchs6-3-1
3.67Buts par match 3.61
2.07Buts contre par match 2.67
33.33%Pourcentage en avantage numérique23.96%
78.41%Pourcentage en désavantage numérique73.68%
Barbus
11-7-0, 22pts
2
FINAL
3 Requins
12-3-0, 24pts
Team Stats
L1SéquenceW1
9-0-0Fiche domicile8-0-0
2-7-0Fiche domicile4-3-0
6-3-1Derniers 10 matchs7-2-1
3.61Buts par match 3.67
2.67Buts contre par match 2.07
23.96%Pourcentage en avantage numérique33.33%
73.68%Pourcentage en désavantage numérique78.41%
Meneurs d'équipe
Buts
Cole Caufield
32
Passes
Taylor Raddysh
22
Points
Cole Caufield
42
Plus/Moins
Cole Caufield
11
Victoires
Pyotr Kochetkov
11
Pourcentage d’arrêts
Pyotr Kochetkov
0.923

Statistiques d’équipe
Buts pour
65
3.61 GFG
Tirs pour
632
35.11 Avg
Pourcentage en avantage numérique
24.0%
23 GF
Début de zone offensive
40.4%
Buts contre
48
2.67 GAA
Tirs contre
611
33.94 Avg
Pourcentage en désavantage numérique
73.7%%
20 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralEric Plourde
EntraîneurSimon Gagne
DivisionHowe
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 60
Espoirs26


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
1Anton Lundell0XX100.006351838270748673745148778059600187102111,775,000$
2Taylor Raddysh0XX100.00764492747374938749505063256060050700251758,333$
3Lucas Raymond0X100.006741899063769583335349658060600246902113,425,000$
4Cole Caufield0XX100.006340988459787786255060598058590246802221,308,333$
5Peyton Krebs0XX100.007757808066669367725047692559590386702221,275,833$
6Lukas Reichel (R)0XX100.006141917564748876375251642547470506702111,337,500$
7Joseph Veleno0X100.008445888071639661724847672560600446602321,212,917$
8Jack Quinn (R)0X100.006752937566677870365148687554540506602211,713,333$
9Jonatan Berggren (R)0XX100.00614191696565897344494962255252047640232925,000$
10Pavel Dorofeyev (R)0XX100.00594089726567757225485463754545050640221925,000$
11Nils Hoglander0XX100.007142918365628161445047632559590506302221,125,000$
12Mattias Samuelsson0X100.00844688748185775925494590255757053680232925,000$
13Kaiden Guhle (R)0X100.00845882777781626225524688255555026702121,283,333$
14Nicolas Hague0X100.00795582828575845925494577256465050660241863,333$
15Justin Barron (R)0X100.007844857775707465255147702548480506402111,158,333$
16Victor Soderstrom0X100.006742777867697867255145722548480506402211,523,333$
17Jacob Bernard-Docker (R)0X100.007777837572697957254745722546460506202321,208,333$
Rayé
1Ryan Donato0XXX100.007557818370598964464949686166660486602721,200,000$
2Vasily Podkolzin0X100.007858927871629062394747612558580506402211,775,000$
3Emil Bemstrom0XX100.006141968270627869375147602561610506302411,633,333$
4Oskar Olausson (R)0X100.00736885666871765450373761544444045620202894,167$
5Grigori Denisenko (R)0XX100.007643927864556958254945612546460505902321,775,000$
6Shane Bowers (R)0X100.00726491666461645366383860484444050590242750,000$
7Jan Rutta0X100.00784484777572836025484689256568017660332650,000$
8Carson Soucy0X100.00836076748169885925494581256667043650292650,000$
9Lassi Thomson0X100.007570857270717555254242634445450505902211,288,333$
MOYENNE D’ÉQUIPE100.0073518777706981663849476939555504265
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
1Pyotr Kochetkov (R)0100.0066535281656792677967754647015700241925,000$
2Justus Annunen (R)0100.00605670856262566461603044440506202311,050,000$
Rayé
1Mads Sogaard (R)0100.0060585686655469616560754545043630221925,000$
MOYENNE D’ÉQUIPE100.006256598464617264686260454503665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Simon Gagne70707070707070CAN455650,000$


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
1Cole CaufieldBarbus (JOK)LW/RW183210421100174107297129.91%934919.42136193280000006011.76%17672042.40000001002
2Taylor RaddyshBarbus (JOK)C/RW18522271140512146205510.87%540622.563111413800004581045.55%292267001.3300000041
3Kaiden GuhleBarbus (JOK)D1821214-112056504326204.65%3748026.691451387000157000%0442000.5800000021
4Mattias SamuelssonBarbus (JOK)D1811112810035503322243.03%3645125.07112462000057000%0237000.5300000002
5Jack QuinnBarbus (JOK)RW18461004013194422359.09%1234719.30033462000000046.15%133112000.5800000110
6Lukas ReichelBarbus (JOK)LW/RW183691040171626121711.54%835019.46123581000000038.89%1898000.5100000010
7Lucas RaymondBarbus (JOK)RW18448-18024216722445.97%737020.561231266000001036.36%11798000.4300000000
8Peyton KrebsBarbus (JOK)C/LW1835813151620369258.33%625114.0000000000031058.56%181234000.6400000011
9Justin BarronBarbus (JOK)D18167-110035162411164.17%2139722.071451188000024000%0517000.3500000000
10Pavel DorofeyevBarbus (JOK)LW/RW183475401062882110.71%220111.2100005000031028.57%21156000.6900000000
11Nicolas HagueBarbus (JOK)D18055716018312423130%3336120.0700000000256000%2130000.2800000000
12Anton LundellBarbus (JOK)C/LW18224-425514243618285.56%1134319.0721310690003571154.68%2672911000.2300000001
13Joseph VelenoBarbus (JOK)C18224620152321579.52%1022712.64000000005660060.69%17385000.3500000000
14Victor SoderstromBarbus (JOK)D1813410220252714887.14%1933318.5300001000052000%0420000.2400000000
15Nils HoglanderBarbus (JOK)LW/RW181232402210378242.70%328515.8400000000000055.56%9333000.2100000001
16Jonatan BerggrenBarbus (JOK)LW/RW18123-18012112314134.35%735819.940113690001550054.55%11113000.1700000000
17Jacob Bernard-DockerBarbus (JOK)D18022714017162315130%1529316.300000000000000%0320000.1400000000
Statistiques d’équipe totales ou en moyenne30665104169701781039736563227243410.28%241580918.982335581077560001649311151.82%1015350235040.58000001199
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
1Pyotr KochetkovBarbus (JOK)1811520.9232.38118620476103860100180121
Statistiques d’équipe totales ou en moyenne1811520.9232.3811862047610386010180121


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
Anton LundellBarbus (JOK)C/LW2110/3/2001No185 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm1,775,000$0$0$No------------------Lien
Carson SoucyBarbus (JOK)D297/26/1994No210 Lbs196 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Cole CaufieldBarbus (JOK)LW/RW221/2/2001No174 Lbs170 CMNoNoN/ANoNo2FalseFalsePro & Farm1,308,333$0$0$No1,308,333$--------No--------Lien
Emil BemstromBarbus (JOK)LW/RW246/1/1999No190 Lbs183 CMNoNoTrade2/12/2024NoNo1FalseFalsePro & Farm1,633,333$0$0$No------------------Lien / Lien NHL
Grigori DenisenkoBarbus (JOK)LW/RW236/24/2000Yes175 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm1,775,000$0$0$No1,775,000$--------No--------Lien
Jack QuinnBarbus (JOK)RW229/19/2001Yes176 Lbs183 CMNoNoTrade3/9/2024NoNo1FalseFalsePro & Farm1,713,333$0$0$No------------------Lien
Jacob Bernard-DockerBarbus (JOK)D236/30/2000Yes190 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,208,333$0$0$No1,208,333$--------No--------Lien
Jan RuttaBarbus (JOK)D337/29/1990No204 Lbs188 CMNoNoFree AgentNoNo211/30/2023FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Jonatan BerggrenBarbus (JOK)LW/RW237/16/2000Yes183 Lbs178 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien
Joseph VelenoBarbus (JOK)C231/13/2000No191 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,212,917$0$0$No1,212,917$--------No--------Lien
Justin BarronBarbus (JOK)D2111/15/2001Yes201 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,158,333$0$0$No------------------Lien
Justus AnnunenBarbus (JOK)G233/11/2000Yes210 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No------------------Lien
Kaiden GuhleBarbus (JOK)D211/18/2002Yes205 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm1,283,333$0$0$No1,283,333$--------No--------
Lassi ThomsonBarbus (JOK)D229/24/2000No192 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,288,333$0$0$No------------------Lien
Lucas RaymondBarbus (JOK)RW213/28/2002No170 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm3,425,000$0$0$No------------------Lien
Lukas ReichelBarbus (JOK)LW/RW215/17/2002Yes170 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,337,500$0$0$No------------------Lien
Mads SogaardBarbus (JOK)G2212/13/2000Yes199 Lbs203 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Mattias SamuelssonBarbus (JOK)D233/14/2000No218 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien
Nicolas HagueBarbus (JOK)D2412/5/1998No221 Lbs198 CMNoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No------------------Lien / Lien NHL
Nils HoglanderBarbus (JOK)LW/RW2212/20/2000No185 Lbs175 CMNoNoN/ANoNo2FalseFalsePro & Farm1,125,000$0$0$No1,125,000$--------No--------Lien
Oskar OlaussonBarbus (JOK)RW2010/11/2002Yes180 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------No--------
Pavel DorofeyevBarbus (JOK)LW/RW2210/26/2000Yes176 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Peyton KrebsBarbus (JOK)C/LW221/26/2001No180 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm1,275,833$0$0$No1,275,833$--------No--------Lien
Pyotr KochetkovBarbus (JOK)G246/25/1999Yes205 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Ryan DonatoBarbus (JOK)C/LW/RW274/9/1996No192 Lbs183 CMNoNoTrade1/12/2024NoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien / Lien NHL
Shane BowersBarbus (JOK)C247/30/1999Yes170 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Taylor RaddyshBarbus (JOK)C/RW252/18/1998No198 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm758,333$0$0$No------------------Lien
Vasily PodkolzinBarbus (JOK)RW226/24/2001No190 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm1,775,000$0$0$No------------------Lien
Victor SoderstromBarbus (JOK)D222/26/2001No182 Lbs183 CMNoNoTrade3/9/2024NoNo1FalseFalsePro & Farm1,523,333$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2923.14190 Lbs185 CM1.481,250,302$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole CaufieldTaylor RaddyshLukas Reichel30122
2Jonatan BerggrenAnton LundellLucas Raymond27122
3Nils HoglanderPeyton KrebsJack Quinn24122
4Pavel DorofeyevJoseph VelenoLucas Raymond19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaiden GuhleJustin Barron30122
2Mattias SamuelssonVictor Soderstrom30122
3Nicolas HagueJacob Bernard-Docker30122
4Kaiden GuhleMattias Samuelsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole CaufieldTaylor RaddyshLukas Reichel60122
2Jonatan BerggrenAnton LundellLucas Raymond40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronKaiden Guhle55122
2Jack QuinnMattias Samuelsson45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anton LundellTaylor Raddysh50122
2Joseph VelenoJonatan Berggren50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueKaiden Guhle50122
2Mattias SamuelssonVictor Soderstrom50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joseph Veleno60122Nicolas HagueKaiden Guhle60122
2Peyton Krebs40122Mattias SamuelssonVictor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshLukas Reichel60122
2Peyton KrebsJack Quinn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueVictor Soderstrom60122
2Mattias SamuelssonJustin Barron40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole CaufieldAnton LundellLukas ReichelKaiden GuhleJack Quinn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel DorofeyevJoseph VelenoJonatan BerggrenNicolas HagueMattias Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Dorofeyev, Cole Caufield, Lucas RaymondPavel Dorofeyev, Joseph VelenoAnton Lundell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Soderstrom, Kaiden Guhle, Mattias SamuelssonMattias SamuelssonJustin Barron, Nicolas Hague
Tirs de pénalité
Lukas Reichel, Lucas Raymond, Jack Quinn, Cole Caufield, Anton Lundell
Gardien
#1 : Pyotr Kochetkov, #2 : Justus Annunen


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
1Hybrides5410000025141133000000156921100000108280.8002541660022162521571832141874815158329823417.39%16568.75%021641052.68%18835952.37%12224649.59%450284433163304151
2Requins734000002022-233000000117440400000915-660.429203151102216252240183214187482077744140401127.50%211052.38%021641052.68%18835952.37%12224649.59%450284433163304151
3Werewolves64200000201283300000014683120000066080.6672032520022162522351832141874825310610415933824.24%39587.18%021641052.68%18835952.37%12224649.59%450284433163304151
Total181170000065481799000000401921927000002529-4220.6116510416910221625263218321418748611241180397962323.96%762073.68%021641052.68%18835952.37%12224649.59%450284433163304151
_Since Last GM Reset181170000065481799000000401921927000002529-4220.6116510416910221625263218321418748611241180397962323.96%762073.68%021641052.68%18835952.37%12224649.59%450284433163304151
_Vs Conference118300000452619660000002912175230000016142160.727457311800221625239218321418748404164136257561221.43%551081.82%021641052.68%18835952.37%12224649.59%450284433163304151

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822L16510416963261124118039710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811700006548
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
99000004019
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
92700002529
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
962323.96%762073.68%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
183214187482216252
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
21641052.68%18835952.37%12224649.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
450284433163304151


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
1 - 2024-04-072Hybrides2Barbus4WSommaire du match
3 - 2024-04-096Hybrides2Barbus8WSommaire du match
5 - 2024-04-1110Barbus7Hybrides3WSommaire du match
7 - 2024-04-1314Barbus3Hybrides5LSommaire du match
9 - 2024-04-1518Hybrides2Barbus3WXSommaire du match
15 - 2024-04-2129Barbus2Werewolves3LSommaire du match
17 - 2024-04-2331Barbus1Werewolves2LXSommaire du match
19 - 2024-04-2533Werewolves2Barbus4WSommaire du match
21 - 2024-04-2735Werewolves2Barbus4WSommaire du match
23 - 2024-04-2937Barbus3Werewolves1WSommaire du match
25 - 2024-05-0139Werewolves2Barbus6WSommaire du match
29 - 2024-05-0543Barbus2Requins3LXSommaire du match
30 - 2024-05-0644Barbus2Requins4LSommaire du match
31 - 2024-05-0745Requins2Barbus3WSommaire du match
32 - 2024-05-0846Requins2Barbus3WXSommaire du match
33 - 2024-05-0947Barbus3Requins5LSommaire du match
34 - 2024-05-1048Requins3Barbus5WSommaire du match
35 - 2024-05-1149Barbus2Requins3LSommaire 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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,625,872$ 2,463,374$ 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$




Barbus 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

Barbus 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

Barbus 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

Barbus 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

Barbus 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