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Connexion

Barracuda
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dominic Joyal | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #2 vs Caribou
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Barracuda
0-0-0, 0pts
2022-10-10
Caribou
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Diabotins
0-0-0, 0pts
2022-10-12
Barracuda
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Barracuda
0-0-0, 0pts
2022-10-14
Hooligans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDominic Joyal
DivisionOrr
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure22
Limite contact 51 / 60
Espoirs35


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique157-312-23 (0.319%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)0-4
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
1Zach Sanford0XXX100.008678827880689169324947742564660507002711,500,000$
2Nick Foligno0XXX100.009193747875638266554945702584870506903411,200,000$
3Keegan Kolesar0XXX100.00979975758263866046504672255960050680252725,000$
4Tyler Ennis0XX100.007742908558636973575147656175770506603211,200,000$
5Philipp Kurashev0XXX100.00654293767063886544504664255858050640221925,000$
6Tyler Pitlick0X100.008345947775596457374845732564640506303012,100,000$
7Evgeny Svechnikov0XX100.00804584777757745937494764255656050620251874,125$
8Aleksi Heponiemi0XX100.006557857257636462504444595345450506002311,775,000$
9Ty Smith0X100.006942898464748367254339662557570506302211,263,333$
10Logan Stanley0X100.00889178738968735725433884255657050620241863,333$
11Calen Addison (R)0X100.00714295816663727625414064254546050610221910,833$
12Connor Clifton0X100.009166847665697859254138774560620506102711,000,000$
13Jacob Larsson0X100.007472797772727950253232653863630505702511,200,000$
Rayé
1Curtis Lazar0XX100.00924692807062865659484781256970050670272800,000$
2Ryan Poehling0XX100.00694396747362726976484868255555050650232750,000$
3Brett Seney0XX100.00595665775671736780464659594949050640262750,000$
4Connor Dewar0XX100.00796380656656696256484674254747050630232925,000$
5Mike Vecchione0XX100.00726882666864656480424263594444050630292750,000$
6Bobby Brink (R)0X100.008043997358704184575345562544440506302121,137,500$
7Jack Drury (R)0X100.00676375716362626379424260574444050610222925,000$
8Tim Gettinger0X100.00844699668355655746464565254444050600242750,000$
9Gabriel Fortier (R)0XX100.00894587666254826225464761254444050590222880,000$
10Gustav Lindstrom0X100.00734389757269705925423878255555050610232850,000$
11Derrick Pouliot0X100.00734387777167646325443871256363050610282750,000$
12Cale Fleury0X100.00864699747765706025393875254848050590232750,000$
13Alex Vlasic (R)0X100.007544957577644355254039732545450505702121,491,667$
MOYENNE D’ÉQUIPE100.0078568675706472634445436933555605063
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
1Scott Wedgewood100.0073606079737283738073735959050730301700,000$
2Alex Nedeljkovic100.0069767370687069706769755556050690261737,500$
Rayé
1Connor Ingram100.0056425377626154606361304444050590252733,333$
MOYENNE D’ÉQUIPE100.006659627568686968706859535305067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 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
Aleksi HeponiemiBarracuda (ICE)LW/RW231/8/1999No155 Lbs178 CMNoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Alex NedeljkovicBarracuda (ICE)G261/7/1996No189 Lbs183 CMNoNoNo1Pro & Farm737,500$737,500$0$0$NoLien / Lien NHL
Alex VlasicBarracuda (ICE)D216/5/2001Yes198 Lbs198 CMNoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Lien
Bobby BrinkBarracuda (ICE)RW217/8/2001Yes163 Lbs175 CMNoNoNo2Pro & Farm1,137,500$1,137,500$0$0$No1,137,500$Lien
Brett SeneyBarracuda (ICE)C/LW262/27/1996No156 Lbs175 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Cale FleuryBarracuda (ICE)D2311/18/1998No213 Lbs185 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Calen AddisonBarracuda (ICE)D224/10/2000Yes180 Lbs180 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Connor CliftonBarracuda (ICE)D274/28/1995No175 Lbs180 CMNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Connor DewarBarracuda (ICE)C/LW236/26/1999No182 Lbs178 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Connor IngramBarracuda (ICE)G253/30/1997No196 Lbs188 CMNoNoNo2Pro & Farm733,333$733,333$0$0$No733,333$Lien
Curtis LazarBarracuda (ICE)C/RW272/2/1995No193 Lbs183 CMNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Derrick PouliotBarracuda (ICE)D281/16/1994No196 Lbs183 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Evgeny SvechnikovBarracuda (ICE)LW/RW2510/31/1996No208 Lbs191 CMNoNoNo1Pro & Farm874,125$874,125$0$0$NoLien / Lien NHL
Gabriel FortierBarracuda (ICE)C/LW222/6/2000Yes174 Lbs178 CMNoNoNo2Pro & Farm880,000$880,000$0$0$No880,000$Lien
Gustav LindstromBarracuda (ICE)D2310/20/1998No190 Lbs188 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Jack DruryBarracuda (ICE)C222/3/2000Yes174 Lbs180 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jacob LarssonBarracuda (ICE)D254/29/1997No190 Lbs188 CMNoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLien / Lien NHL
Keegan KolesarBarracuda (ICE)C/LW/RW254/8/1997No217 Lbs188 CMNoNoNo2Pro & Farm725,000$725,000$0$0$No725,000$Lien / Lien NHL
Logan StanleyBarracuda (ICE)D245/25/1998No228 Lbs201 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Mike VecchioneBarracuda (ICE)C/RW292/25/1993No194 Lbs178 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Nick FolignoBarracuda (ICE)C/LW/RW3410/30/1987No202 Lbs183 CMNoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLien / Lien NHL
Philipp KurashevBarracuda (ICE)C/LW/RW2210/12/1999No190 Lbs183 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Ryan PoehlingBarracuda (ICE)C/LW231/3/1999No197 Lbs188 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Scott WedgewoodBarracuda (ICE)G308/13/1992No207 Lbs188 CMNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Tim GettingerBarracuda (ICE)LW244/13/1998No218 Lbs198 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Ty SmithBarracuda (ICE)D223/23/2000No175 Lbs180 CMNoNoNo1Pro & Farm1,263,333$1,263,333$0$0$NoLien
Tyler EnnisBarracuda (ICE)LW/RW3210/6/1989No161 Lbs175 CMNoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW3011/1/1991No200 Lbs188 CMNoNoNo1Pro & Farm2,100,000$2,100,000$0$0$NoLien / Lien NHL
Zach SanfordBarracuda (ICE)C/LW/RW2711/9/1994No207 Lbs193 CMNoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.21191 Lbs185 CM1.521,007,470$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Tyler Ennis30122
3Evgeny SvechnikovPhilipp Kurashev20122
4Aleksi Heponiemi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty Smith40122
2Jacob Larsson30122
3Connor Clifton20122
4Ty Smith10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Tyler Ennis40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty Smith60122
2Jacob Larsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty Smith60122
2Jacob Larsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Ty Smith60122
240122Jacob Larsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty Smith60122
2Jacob Larsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ty Smith
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ty Smith
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philipp Kurashev, Evgeny Svechnikov, Philipp Kurashev, Evgeny Svechnikov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Connor Clifton, Jacob LarssonConnor Clifton, Jacob Larsson
Tirs de pénalité
, , , ,
Gardien
#1 : Alex Nedeljkovic, #2 :


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
1 - 2022-10-102Barracuda-Caribou-
3 - 2022-10-1210Diabotins-Barracuda-
5 - 2022-10-1418Barracuda-Hooligans-
7 - 2022-10-1626Leftovers-Barracuda-
9 - 2022-10-1833Vagabond-Barracuda-
11 - 2022-10-2042Barracuda-Benchwarmers-
13 - 2022-10-2250Barracuda-Werewolves-
15 - 2022-10-2459Barracuda-Pingouins-
17 - 2022-10-2667Chevalier-Barracuda-
19 - 2022-10-2875Barracuda-Casse-Tete-
21 - 2022-10-3083Barracuda-Requins-
23 - 2022-11-0191Barracuda-Jardiniers-
25 - 2022-11-0399Pirates-Barracuda-
27 - 2022-11-05107Barracuda-Knights-
29 - 2022-11-07115Hybrides-Barracuda-
31 - 2022-11-09122Caribou-Barracuda-
33 - 2022-11-11130Barracuda-Diabotins-
35 - 2022-11-13138Hooligans-Barracuda-
37 - 2022-11-15146Barracuda-Leftovers-
39 - 2022-11-17153Barracuda-Vagabond-
41 - 2022-11-19162Benchwarmers-Barracuda-
43 - 2022-11-21170Werewolves-Barracuda-
45 - 2022-11-23179Pingouins-Barracuda-
47 - 2022-11-25187Barracuda-Chevalier-
49 - 2022-11-27195Casse-Tete-Barracuda-
51 - 2022-11-29203Requins-Barracuda-
53 - 2022-12-01211Jardiniers-Barracuda-
55 - 2022-12-03219Barracuda-Pirates-
57 - 2022-12-05227Knights-Barracuda-
59 - 2022-12-07235Barracuda-Hybrides-
61 - 2022-12-09242Barracuda-Caribou-
63 - 2022-12-11250Diabotins-Barracuda-
65 - 2022-12-13258Barracuda-Hooligans-
67 - 2022-12-15266Leftovers-Barracuda-
69 - 2022-12-17273Vagabond-Barracuda-
71 - 2022-12-19282Barracuda-Benchwarmers-
73 - 2022-12-21290Barracuda-Werewolves-
75 - 2022-12-23299Barracuda-Pingouins-
77 - 2022-12-25307Chevalier-Barracuda-
79 - 2022-12-27315Barracuda-Casse-Tete-
81 - 2022-12-29323Barracuda-Requins-
83 - 2022-12-31331Barracuda-Jardiniers-
85 - 2023-01-02339Pirates-Barracuda-
87 - 2023-01-04347Barracuda-Knights-
89 - 2023-01-06355Hybrides-Barracuda-
91 - 2023-01-08362Caribou-Barracuda-
93 - 2023-01-10370Barracuda-Diabotins-
95 - 2023-01-12378Hooligans-Barracuda-
97 - 2023-01-14386Barracuda-Leftovers-
99 - 2023-01-16393Barracuda-Vagabond-
101 - 2023-01-18402Benchwarmers-Barracuda-
103 - 2023-01-20410Werewolves-Barracuda-
105 - 2023-01-22419Pingouins-Barracuda-
107 - 2023-01-24427Barracuda-Chevalier-
109 - 2023-01-26435Casse-Tete-Barracuda-
111 - 2023-01-28443Requins-Barracuda-
113 - 2023-01-30451Jardiniers-Barracuda-
115 - 2023-02-01459Barracuda-Pirates-
117 - 2023-02-03467Knights-Barracuda-
119 - 2023-02-05475Barracuda-Hybrides-
121 - 2023-02-07482Barracuda-Caribou-
123 - 2023-02-09490Diabotins-Barracuda-
125 - 2023-02-11498Barracuda-Hooligans-
127 - 2023-02-13506Leftovers-Barracuda-
129 - 2023-02-15513Vagabond-Barracuda-
131 - 2023-02-17522Barracuda-Benchwarmers-
133 - 2023-02-19530Barracuda-Werewolves-
135 - 2023-02-21538Caribou-Barracuda-
137 - 2023-02-23546Barracuda-Diabotins-
139 - 2023-02-25554Hooligans-Barracuda-
141 - 2023-02-27562Barracuda-Leftovers-
143 - 2023-03-01569Barracuda-Vagabond-
145 - 2023-03-03578Benchwarmers-Barracuda-
147 - 2023-03-05586Werewolves-Barracuda-
149 - 2023-03-07594Barracuda-Caribou-
151 - 2023-03-09602Diabotins-Barracuda-
153 - 2023-03-11610Barracuda-Hooligans-
155 - 2023-03-13618Leftovers-Barracuda-
157 - 2023-03-15625Vagabond-Barracuda-
159 - 2023-03-17634Barracuda-Benchwarmers-
161 - 2023-03-19642Barracuda-Werewolves-
164 - 2023-03-22653Werewolves-Barracuda-



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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,921,661$ 2,402,411$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,815$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 164 17,815$ 2,921,660$




Barracuda Leaders statistiques (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
1Nikolay Goldobin3322091914008642148410105519.81%173625318.8449398817957122625739.56171.2827
2Max Comtois168170172342819430411368524.82%54298317.766061121142044213345.27172.2902
3Alex Chiasson187911622535712631840563814.26%214444623.78113849994812359443.98101.14315
4Jesper Bratt16811112623752812210756519.65%54268115.9618375557404115329.7351.7706
5Tyler Ennis167651341991072620012434918.62%46265015.8724497377000012643.9631.5012

Barracuda 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
1Alex Nedeljkovic8465990.9262.40504702202272516321300.80020
2Garret Sparks16750102150.9023.111000910551952892764920.75866
3Malcolm Subban102423760.9073.2854290229732051713430.63622
4Michael Hutchinson81334260.9113.2647842126029201580220.76517
5Carter Hutton84315010.8614.8846194037626981620700.66712

Barracuda 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
201683204801572274308-34411023013311531381542102500241121170-49632744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
2017841554024542582391942112201233155112434243201221103127-24522584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
201882304301323346321254116200121117717344114230011216914821723465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20198437350511529025535422613020011771077042112203114113148-359229050879832888910792677858884908502981102568419222937625.94%3326680.12%13851178747.62%874192445.43%526111347.26%1815114320306651232614
202084265202031366447-81421524020102102001042112800021156247-9163366600966001291221106296410321024904162943118058915803209730.31%29010464.14%7430165625.97%387148526.06%377140026.93%1858122819896551215580
2021846210015245722093634237300200306100206422570132426610915713957294215140219820816333024104710529153127441138548142831013643.87%2765779.35%18814153053.20%846165351.18%708137951.34%2007135918476501229620
Total Saison régulière5001363120614151717792351-572251771440398109571107-15024959168035778221244-42234517792870464978604621533351535150455044516121617326630433758885188737619.93%157146270.59%304168962243.32%4020989240.64%3284747643.93%10676681312058399274613668
Séries éliminatoires
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
2021117400000473611642000002619753200000211741447751220018171024171411351271442418490194452044.44%461763.04%013121959.82%12223352.36%8315453.90%2711842658916280
Total Séries éliminatoires40400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819

Barracuda Leaders statistiques (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
1Jesper Bratt1151419401417519.80%622120.1328101200000033.3301.7200
2Curtis Lazar11126184021346119.67%2825823.475382300012160.7811.3900
3Ty Smith1131316461619486.25%4132029.17325120001000.00%01.0000
4Max Comtois115813148103414.71%319317.59448900000057.1411.3400
5Shane Pinto11651111013151931.58%1517916.36358700002162.8911.2200

Barracuda 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
1Alex Nedeljkovic117310.9153.106970036424270200.00%0
2Garret Sparks51310.9352.383030012185103000.00%0