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Barracuda
GP: 35 | W: 18 | L: 14 | OTL: 3 | P: 39
GF: 104 | GA: 102 | PP%: 19.05% | PK%: 81.13%
DG: Michel Girard | Morale : 91 | Moyenne d’équipe : 66
Prochains matchs #494 vs Reign

Centre de jeu
Barracuda
18-14-3, 39pts
5
3 Comets
21-10-4, 46pts
Team Stats
L1SéquenceW1
10-6-1Fiche domicile10-7-1
8-8-2Fiche domicile11-3-3
3-7-0Derniers 10 matchs5-2-3
2.97Buts par match 2.97
2.91Buts contre par match 2.46
19.05%Pourcentage en avantage numérique19.71%
81.13%Pourcentage en désavantage numérique79.65%
Americans
19-14-2, 40pts
3
2 Barracuda
18-14-3, 39pts
Team Stats
W1SéquenceL1
9-7-1Fiche domicile10-6-1
10-7-1Fiche domicile8-8-2
6-4-0Derniers 10 matchs3-7-0
3.11Buts par match 2.97
3.00Buts contre par match 2.91
25.69%Pourcentage en avantage numérique19.05%
77.31%Pourcentage en désavantage numérique81.13%
Reign
21-12-2, 44pts
Jour 47
Barracuda
18-14-3, 39pts
Statistiques d’équipe
W1SéquenceL1
9-7-2Fiche domicile10-6-1
12-5-0Fiche visiteur8-8-2
5-5-010 derniers matchs3-7-0
3.06Buts par match 2.97
2.80Buts contre par match 2.97
16.79%Pourcentage en avantage numérique19.05%
78.40%Pourcentage en désavantage numérique81.13%
Meneurs d'équipe
Mavrik BourqueButs
Mavrik Bourque
14
David GustafssonPasses
David Gustafsson
18
Mavrik BourquePoints
Mavrik Bourque
29
Zachary L'HeureuxPlus/Moins
Zachary L'Heureux
11
Arturs SilovsVictoires
Arturs Silovs
17
Arturs SilovsPourcentage d’arrêts
Arturs Silovs
0.91

Statistiques d’équipe
Buts pour
104
2.97 GFG
Tirs pour
918
26.23 Avg
Pourcentage en avantage numérique
19.0%
24 GF
Début de zone offensive
38.1%
Buts contre
102
2.91 GAA
Tirs contre
1010
28.86 Avg
Pourcentage en désavantage numérique
81.1%%
30 GA
Début de la zone défensive
42.9%
Informations de l'équipe

Directeur généralMichel Girard
DivisionPacific
ConférenceWest Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs35


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
1Ryan Carpenter0XX100.00813086777379866782646675677465082690351550,000$
2Mavrik Bourque (R)0XX100.00673092787087906777686871706365081690241894,167$
3Alex Belzile0XX100.00793085767178896869656071647173082680341775,000$
4Dylan Gambrell0X100.00753088727180836278656478606970082680291775,000$
5David Gustafsson (R)0X100.00713099788075776582646378606466082680262835,000$
6Jasper Weatherby0XX100.00803079738379896477656370656060082680281550,000$
7Kasper Halttunen (R)0XX100.00813089807878836278575367606060081650214908,333$
8Ben King (R)0XX100.00783090728375775974596165585454082640241550,000$
9Zachary L'Heureux (R)0XX100.00793033757278806378646162665153082640232863,333$
10Lucas Edmonds (R)0XX100.00643095706977775850565962606360075620251861,667$
11Nathan Gaucher (R)0X100.00773076698578825868565363565153082620223886,667$
12Jordan Dumais (R)0XX100.00613093736471736155605961646163082620223859,999$
13Robert Hagg0X100.00843076758286796030605077507165082700311775,000$
14Dillon Heatherington0X100.00853078698679875730584777506769080690311550,000$
15David Reinbacher (R)0X100.00763075828572626430605365506163082670214918,333$
16Jeremie Poirier (R)0X100.00733074657281825930655668506464082660241823,333$
17Ryan Merkley (R)0X100.00643070766481806230684567505757080650251775,000$
18Mikko Kokkonen (R)0X100.0063308365727979573056516650636308063X0251846,667$
Rayé
1Riley Damiani (R)0X100.00573080766483876574656361655464063650261550,000$
2Ondrej Becher (R)0XX100.00683095657481805569565764586163069620223865,000$
3Bryce Mcconnell-Barker (R)0XX100.00763085647677825661545661546163064610223838,333$
4Tyler Kleven (R)0X100.0076307578777781613056486650525407266X0241916,667$
5Nolan Allan (R)0X100.00753078737975805730494462505153070630232825,000$
6Leo Loof (R)0X100.0073308663767080543046405940525406960X0242867,500$
7Isaac Belliveau (R)0X100.0073308162777673503046416045636506660X0232875,000$
MOYENNE D’ÉQUIPE100.0073308272757881605559556756616207765
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
1Arturs Silovs (R)0100.0077848087767577767577766461081750251775,000$
2Sergei Murashov (R)0100.0074757175737274737274736165082710223861,110$
Rayé
MOYENNE D’ÉQUIPE100.007680768175747675747675636308273
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
1Mavrik BourqueBarracuda (SJS)C/RW341415294100750107366313.08%859917.62731029105000003048.13%37400010.9712000411
2Ryan CarpenterBarracuda (SJS)C/RW3513152841004357101277712.87%760617.3334721970000112054.06%50500000.9204000120
3David GustafssonBarracuda (SJS)C3591827800108110727908.41%1661217.5115628970001272153.42%64400000.8824000114
4Alex BelzileBarracuda (SJS)C/RW35916256140404573305312.33%868819.67268106830331441136.84%5700000.7303000230
5Zachary L'HeureuxBarracuda (SJS)C/LW358152311400842561213913.11%157516.440337420001741154.55%5500000.8002000132
6David ReinbacherBarracuda (SJS)D3541620-1100332137142710.81%2370420.141891996000057110%000000.5700000201
7Dillon HeatheringtonBarracuda (SJS)D28412165300621828122714.29%2556720.282131270000067010%000000.5600000010
8Robert HaggBarracuda (SJS)D3551015-140078262831517.86%5373220.930224550111122020%000100.4100000111
9Jeremie PoirierBarracuda (SJS)D3431114532037272882710.71%3973321.563141496000297010%000000.3800000000
10Jordan DumaisBarracuda (SJS)LW/RW35491354010293882210.53%254615.61112766000002033.33%4200000.4812000021
11Dylan GambrellBarracuda (SJS)C35481208021735721447.02%1050514.4301123301151200052.98%58700000.4801000010
12Ryan MerkleyBarracuda (SJS)D275712114037232051325.00%2951319.01224957011056000%000000.4700000012
13Jasper WeatherbyBarracuda (SJS)C/LW354711-810036257925455.06%643012.310558740000260044.90%4900000.5112000000
14Mikko KokkonenBarracuda (SJS)D2246106140194154926.67%1843019.57112635101244000%000000.4600000101
15Ben KingBarracuda (SJS)C/RW35461018016134817238.33%636610.4600000000002050.00%2400000.5501000020
16Tyler KlevenBarracuda (SJS)D14134516027842225.00%1826018.6000000011048000%000000.3100000001
17Kasper HalttunenBarracuda (SJS)LW/RW32314-21603422416337.32%137011.581014320000261050.00%1800000.2222000011
18Nathan GaucherBarracuda (SJS)C35123-21802540226144.55%541911.990000301111020049.42%52000000.1400000000
19Nolan AllanBarracuda (SJS)D100330402223120%1019019.0200001022030000%000000.3200000000
20Lucas EdmondsBarracuda (SJS)LW/RW14112-10026841112.50%01399.9700002000010028.57%700000.2900000001
21Riley DamianiBarracuda (SJS)C2011-100000130%0199.870000000000000%300001.0101000000
22Leo LoofBarracuda (SJS)D2011000100010%03517.720000000004000%000000.5600000000
23Isaac BelliveauBarracuda (SJS)D3101-32010100100.00%25016.870000000006100%000000.4000000000
24Bryce Mcconnell-BarkerBarracuda (SJS)C/LW1000020003000%066.250000000000000%10000000000000
25Ondrej BecherBarracuda (SJS)C/LW6000-200014010%1477.8300000000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne61410118328440302064559691327864111.06%2881015216.532443671801039471116107216851.12%288900110.56724000131916
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
1Arturs SilovsBarracuda (SJS)2717910.9102.48161942677440000.80015278311
2Sergei MurashovBarracuda (SJS)91520.8763.9450200332660000.63611827100
Statistiques d’équipe totales ou en moyenne36181430.9012.832121421001010000263535411


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alex BelzileBarracuda (SJS)C/RW341991-08-31CANNo192 Lbs6 ft0NoNoFree AgentNoYes12024-06-28FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Arturs SilovsBarracuda (SJS)G252001-03-22LTVYes203 Lbs6 ft4NoNoFree AgentNoNo12025-12-21FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Ben KingBarracuda (SJS)C/RW242002-05-15CANYes200 Lbs6 ft3NoNoFree AgentNoNo12025-12-21FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Bryce Mcconnell-BarkerBarracuda (SJS)C/LW222004-06-04CANYes191 Lbs6 ft1NoNoProspectNoNo32025-09-22FalseFalsePro & Farm838,333$34,931$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien / Lien NHL
David Gustafsson (contrat à 1 volet)Barracuda (SJS)C262000-04-11SWEYes196 Lbs6 ft2NoNoFree AgentNoNo22025-12-21FalseFalsePro & Farm835,000$51,122$0$0$No835,000$--------835,000$--------No--------Lien / Lien NHL
David ReinbacherBarracuda (SJS)D212004-10-25AUTYes207 Lbs6 ft3NoNoProspectNoNo42025-09-22FalseFalseFarm Only918,333$38,264$0$0$No886,666$886,666$886,666$------886,666$886,666$886,666$------NoNoNo------Lien / Lien NHL
Dillon HeatheringtonBarracuda (SJS)D311995-05-09CANNo215 Lbs6 ft4NoNoFree AgentNoYes12025-12-21FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Dylan GambrellBarracuda (SJS)C291996-08-26USANo185 Lbs6 ft0NoNoFree AgentNoYes12025-12-21FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Isaac BelliveauBarracuda (SJS)D232002-11-26CANYes185 Lbs6 ft2NoYesProspectNoNo22025-09-22FalseFalsePro & Farm875,000$36,458$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Jasper WeatherbyBarracuda (SJS)C/LW281998-01-22USANo222 Lbs6 ft4NoNoFree AgentNoYes12026-04-08FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Jeremie PoirierBarracuda (SJS)D242002-06-02CANYes176 Lbs6 ft1NoNoTradeNoNo1FalseFalsePro & Farm823,333$34,306$0$0$No---------------------------Lien / Lien NHL
Jordan DumaisBarracuda (SJS)LW/RW222004-04-15CANYes173 Lbs5 ft8NoNoProspectNoNo32025-09-22FalseFalsePro & Farm859,999$35,833$0$0$No859,999$859,999$-------859,999$859,999$-------NoNo-------Lien / Lien NHL
Kasper HalttunenBarracuda (SJS)LW/RW212005-06-07FINYes215 Lbs6 ft3NoNoProspectNoNo42025-09-22FalseFalseFarm Only908,333$37,847$0$0$No876,666$876,666$876,666$------876,666$876,666$876,666$------NoNoNo------Lien / Lien NHL
Leo LoofBarracuda (SJS)D242002-04-25SWEYes176 Lbs6 ft2NoYesProspectNoNo22024-06-26FalseFalsePro & Farm867,500$36,146$0$0$No867,500$--------867,500$--------No--------Lien / Lien NHL
Lucas EdmondsBarracuda (SJS)LW/RW252001-01-27SWEYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm861,667$35,903$0$0$No---------------------------Lien / Lien NHL
Mavrik BourqueBarracuda (SJS)C/RW242002-01-08CANYes185 Lbs5 ft10NoNoTrade2026-05-06NoNo1FalseFalsePro & Farm894,167$37,257$0$0$No---------------------------Lien / Lien NHL
Mikko KokkonenBarracuda (SJS)D252001-01-18FINYes200 Lbs6 ft0NoYesN/ANoNo1FalseFalsePro & Farm846,667$35,278$0$0$No---------------------------Lien / Lien NHL
Nathan GaucherBarracuda (SJS)C222003-11-06CANYes207 Lbs6 ft3NoNoProspectNoNo32024-06-26FalseFalsePro & Farm886,667$36,944$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien / Lien NHL
Nolan AllanBarracuda (SJS)D232003-04-28CANYes195 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm825,000$34,375$0$0$No825,000$--------825,000$--------No--------Lien / Lien NHL
Ondrej BecherBarracuda (SJS)C/LW222004-02-22CZEYes198 Lbs6 ft2NoNoProspectNoNo32026-01-05FalseFalsePro & Farm865,000$36,042$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien / Lien NHL
Riley DamianiBarracuda (SJS)C262000-03-20CANYes170 Lbs5 ft10NoNoFree AgentNoNo12026-04-08FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Robert HaggBarracuda (SJS)D311995-02-08SWENo210 Lbs6 ft2NoNoFree AgentNoYes12025-12-21FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Ryan CarpenterBarracuda (SJS)C/RW351991-01-18USANo200 Lbs6 ft0NoNoFree AgentNoYes12025-12-21FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Ryan MerkleyBarracuda (SJS)D252000-08-14CANYes171 Lbs5 ft11NoNoFree AgentNoNo12024-12-02FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Sergei MurashovBarracuda (SJS)G222004-04-01RUSYes185 Lbs6 ft2NoNoProspectNoNo32026-01-18FalseFalsePro & Farm861,110$35,880$0$0$No861,110$861,110$-------861,110$861,110$-------NoNo-------Lien / Lien NHL
Tyler KlevenBarracuda (SJS)D242002-01-10USAYes200 Lbs6 ft4NoYesTrade2025-06-11NoNo12024-06-26FalseFalsePro & Farm916,667$38,194$0$0$No---------------------------Lien / Lien NHL
Zachary L'HeureuxBarracuda (SJS)C/LW232003-05-15CANYes197 Lbs5 ft11NoNoProspectNoNo22024-06-26FalseFalsePro & Farm863,333$35,972$0$0$No863,333$--------863,333$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.22194 Lbs6 ft11.78791,523$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary L'HeureuxRyan CarpenterMavrik Bourque30113
2Jordan DumaisDavid GustafssonAlex Belzile30122
3Jasper WeatherbyDylan GambrellBen King28212
4Kasper HalttunenNathan GaucherLucas Edmonds12320
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherRobert Hagg35023
2Dillon HeatheringtonJeremie Poirier35122
3Mikko KokkonenRyan Merkley30230
4Mikko KokkonenJeremie Poirier0320
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jasper WeatherbyMavrik BourqueRyan Carpenter60005
2Zachary L'HeureuxDavid GustafssonDylan Gambrell40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherJeremie Poirier60014
2Dillon HeatheringtonRobert Hagg40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellAlex Belzile55140
2David GustafssonKasper Halttunen45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggMikko Kokkonen55140
2Jeremie PoirierDavid Reinbacher45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Gambrell55140Robert HaggMikko Kokkonen55140
2David Gustafsson45140Jeremie PoirierDavid Reinbacher45140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellMavrik Bourque60122
2Ryan CarpenterZachary L'Heureux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherRobert Hagg60122
2Jeremie PoirierMikko Kokkonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary L'HeureuxDavid GustafssonMavrik BourqueDavid ReinbacherJeremie Poirier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileDylan GambrellRyan CarpenterMikko KokkonenRobert Hagg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Dumais, Ben King, Kasper HalttunenJasper Weatherby, Jordan DumaisJasper Weatherby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Reinbacher, Ryan Merkley, Dillon HeatheringtonRobert HaggRyan Merkley, Dillon Heatherington
Tirs de pénalité
Mavrik Bourque, Zachary L'Heureux, Ryan Carpenter, Alex Belzile, David Gustafsson
Gardien
#1 : Sergei Murashov, #2 : Arturs Silovs
Lignes d’attaque personnalisées en prolongation
Ryan Carpenter, David Gustafsson, Mavrik Bourque, Jasper Weatherby, Jordan Dumais, Alex Belzile, Zachary L'Heureux, Ben King, Dylan Gambrell, Nathan Gaucher
Lignes de défense personnalisées en prolongation
David Reinbacher, Jeremie Poirier, Robert Hagg, Ryan Merkley, Mikko Kokkonen


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
1Admirals11000000422110000004220000000000021.0004711004035268192913252874023161022200.00%5180.00%1575106054.25%607119450.84%25552748.39%817559865258440217
2Americans2010000168-21010000023-11000000145-110.25069150040352686629132528740521016357114.29%8275.00%0575106054.25%607119450.84%25552748.39%817559865258440217
3Bears2110000046-21010000025-31100000021120.5004610004035268662913252874053101036700.00%5180.00%0575106054.25%607119450.84%25552748.39%817559865258440217
4Bruins1010000023-11010000023-10000000000000.00023500403526821291325287402951221100.00%6183.33%0575106054.25%607119450.84%25552748.39%817559865258440217
5Canucks2110000067-1110000004311010000024-220.5006915004035268612913252874060172433400.00%12375.00%1575106054.25%607119450.84%25552748.39%817559865258440217
6Checkers1010000056-11010000056-10000000000000.0005914004035268212913252874040161213300.00%6183.33%1575106054.25%607119450.84%25552748.39%817559865258440217
7Comets11000000532000000000001100000053221.00051015004035268332913252874023112208112.50%10100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
8Condors21100000880110000003211010000056-120.500813210040352685229132528740682322284250.00%11372.73%0575106054.25%607119450.84%25552748.39%817559865258440217
9Crunch10000010321100000103210000000000021.000336004035268272913252874031612265120.00%60100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
10Eagles220000001156110000007341100000042241.0001122330040352686129132528740491314297571.43%7271.43%0575106054.25%607119450.84%25552748.39%817559865258440217
11Griffins11000000303000000000001100000030321.00035801403526822291325287403981220200.00%60100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
12Gulls21100000541110000004221010000012-120.50059140040352686629132528740439204712216.67%10280.00%0575106054.25%607119450.84%25552748.39%817559865258440217
13IceHogs10001000321100010003210000000000021.000369004035268372913252874019541911218.18%20100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
14Islanders11000000312000000000001100000031221.00036900403526823291325287402252152150.00%10100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
15Marlies10000010431100000104310000000000021.00046100040352682829132528740388827200.00%4175.00%0575106054.25%607119450.84%25552748.39%817559865258440217
16Moose1010000035-2000000000001010000035-200.00036900403526822291325287404592019200.00%10460.00%1575106054.25%607119450.84%25552748.39%817559865258440217
17Penguins1000010034-1000000000001000010034-110.50036900403526823291325287402468173133.33%4175.00%0575106054.25%607119450.84%25552748.39%817559865258440217
18Phantoms22000000514220000005140000000000041.000510150140352683629132528740371716429222.22%80100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
19Reign11000000321000000000001100000032121.0003580040352682729132528740268615400.00%30100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
20Rocket1010000024-2000000000001010000024-200.000246004035268132913252874028121029500.00%5260.00%0575106054.25%607119450.84%25552748.39%817559865258440217
21Senators1010000034-1000000000001010000034-100.00035800403526823291325287403582154125.00%110.00%0575106054.25%607119450.84%25552748.39%817559865258440217
22Stars1010000046-21010000046-20000000000000.0004812004035268292913252874037810303133.33%5260.00%0575106054.25%607119450.84%25552748.39%817559865258440217
23Thunderbirds11000000312000000000001100000031221.00036900403526821291325287403791617100.00%80100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
24Wild11000000312000000000001100000031221.00036900403526831291325287402154216116.67%20100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
25Wolf Pack1010000015-41010000015-40000000000000.00011200403526825291325287403516141611100.00%7185.71%0575106054.25%607119450.84%25552748.39%817559865258440217
26Wolves1010000004-4000000000001010000004-400.00000000403526825291325287403681017200.00%5260.00%0575106054.25%607119450.84%25552748.39%817559865258440217
27Wranglers2010000125-31000000112-11010000013-210.2502350040352684029132528740601922329222.22%110100.00%0575106054.25%607119450.84%25552748.39%817559865258440217
Total351514011221041022177601021545041888001015052-2390.5571041832870240352689182913252874010102873186611262419.05%1593081.13%4575106054.25%607119450.84%25552748.39%817559865258440217
_Since Last GM Reset351514011221041022177601021545041888001015052-2390.5571041832870240352689182913252874010102873186611262419.05%1593081.13%4575106054.25%607119450.84%25552748.39%817559865258440217
_Vs Conference1810601001584810851010013022810550000028262230.6395810516301403526848829132528740527149184332671522.39%921781.52%3575106054.25%607119450.84%25552748.39%817559865258440217
_Vs Division116400001353145400000119127624000001619-3130.5913561960040352683072913252874030689108184401127.50%541081.48%1575106054.25%607119450.84%25552748.39%817559865258440217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3539L1104183287918101028731866102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3515141122104102
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
177610215450
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
188801015052
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1262419.05%1593081.13%4
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
291325287404035268
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
575106054.25%607119450.84%25552748.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
817559865258440217


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
12Phantoms0Barracuda3WSommaire du match
222Barracuda2Bears1WSommaire du match
331Barracuda3Thunderbirds1WSommaire du match
544Wolf Pack5Barracuda1LSommaire du match
666Wranglers2Barracuda1LXXSommaire du match
778Barracuda3Wild1WSommaire du match
988Condors2Barracuda3WSommaire du match
10106Barracuda3Griffins0WSommaire du match
11122Admirals2Barracuda4WSommaire du match
12133Barracuda4Eagles2WSommaire du match
13148IceHogs2Barracuda3WXSommaire du match
14154Barracuda3Penguins4LXSommaire du match
15170Barracuda2Canucks4LSommaire du match
17183Stars6Barracuda4LSommaire du match
18202Barracuda3Moose5LSommaire du match
19210Marlies3Barracuda4WXXSommaire du match
21234Phantoms1Barracuda2WSommaire du match
22239Barracuda1Wranglers3LSommaire du match
24264Gulls2Barracuda4WSommaire du match
25275Barracuda2Rocket4LSommaire du match
26288Crunch2Barracuda3WXXSommaire du match
27306Barracuda3Islanders1WSommaire du match
28316Eagles3Barracuda7WSommaire du match
30338Checkers6Barracuda5LSommaire du match
31347Barracuda4Americans5LXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
32365Bruins3Barracuda2LSommaire du match
33376Barracuda3Senators4LSommaire du match
34385Barracuda5Condors6LSommaire du match
35396Barracuda0Wolves4LSommaire du match
36404Barracuda3Reign2WSommaire du match
37408Barracuda1Gulls2LSommaire du match
38424Canucks3Barracuda4WSommaire du match
39443Bears5Barracuda2LSommaire du match
42466Barracuda5Comets3WSommaire du match
44476Americans3Barracuda2LSommaire du match
47494Reign-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance34,00017,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 3000 - 100.00% 126,650$2,153,050$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,013,414$ 2,053,611$ 2,053,611$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
42,784$ 2,013,414$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
126,650$ 2 42,784$ 85,568$




Barracuda 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

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

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

Barracuda 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

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