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Connexion

Barracuda
GP: 59 | W: 28 | L: 28 | OTL: 3 | P: 59
GF: 257 | GA: 283 | PP%: 27.00% | PK%: 78.30%
DG: Roland Roberge | Morale : 37 | Moyenne d’équipe : 59
Prochains matchs #766 vs Islander

Centre de jeu
Barracuda
28-28-3, 59pts
8
6 Gulls
27-24-8, 62pts
Team Stats
W4SéquenceL2
14-14-1Fiche domicile12-13-4
14-14-2Fiche domicile15-11-4
8-2-0Derniers 10 matchs5-4-1
4.36Buts par match 4.31
4.80Buts contre par match 4.25
27.00%Pourcentage en avantage numérique24.65%
78.30%Pourcentage en désavantage numérique78.97%
Gulls
27-24-8, 62pts
4
5 Barracuda
28-28-3, 59pts
Team Stats
L2SéquenceW4
12-13-4Fiche domicile14-14-1
15-11-4Fiche domicile14-14-2
5-4-1Derniers 10 matchs8-2-0
4.31Buts par match 4.36
4.25Buts contre par match 4.80
24.65%Pourcentage en avantage numérique27.00%
78.97%Pourcentage en désavantage numérique78.30%
Barracuda
28-28-3, 59pts
Jour 122
Islander
29-29-1, 59pts
Statistiques d’équipe
W4SéquenceL1
14-14-1Fiche domicile14-15-0
14-14-2Fiche visiteur15-14-1
8-2-010 derniers matchs4-6-0
4.36Buts par match 4.56
4.80Buts contre par match 4.56
27.00%Pourcentage en avantage numérique24.39%
78.30%Pourcentage en désavantage numérique76.07%
Wolfpack
28-23-7, 63pts
Jour 123
Barracuda
28-28-3, 59pts
Statistiques d’équipe
L2SéquenceW4
15-11-3Fiche domicile14-14-1
13-12-4Fiche visiteur14-14-2
5-4-110 derniers matchs8-2-0
3.97Buts par match 4.36
4.43Buts contre par match 4.36
19.20%Pourcentage en avantage numérique27.00%
78.19%Pourcentage en désavantage numérique78.30%
Little Stars
22-30-8, 52pts
Jour 126
Barracuda
28-28-3, 59pts
Statistiques d’équipe
L3SéquenceW4
12-12-5Fiche domicile14-14-1
10-18-3Fiche visiteur14-14-2
2-7-110 derniers matchs8-2-0
4.05Buts par match 4.36
5.00Buts contre par match 4.36
21.96%Pourcentage en avantage numérique27.00%
76.72%Pourcentage en désavantage numérique78.30%
Meneurs d'équipe
Buts
Emil Pettersson
44
Passes
Emil Pettersson
64
Points
Emil Pettersson
108
Plus/Moins
Trent Frederic
9
Victoires
Kevin Mandolese
21
Pourcentage d’arrêts
Kevin Mandolese
0.858

Statistiques d’équipe
Buts pour
257
4.36 GFG
Tirs pour
2015
34.15 Avg
Pourcentage en avantage numérique
27.0%
64 GF
Début de zone offensive
38.2%
Buts contre
283
4.80 GAA
Tirs contre
1945
32.97 Avg
Pourcentage en désavantage numérique
78.3%%
46 GA
Début de la zone défensive
32.5%
Informations de l'équipe

Directeur généralRoland Roberge
EntraîneurDale Hunter
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1Emil Pettersson
Assistant #2Theodor Blueger


Informations de l’aréna

Capacité3,000
Assistance2,786
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 250
Espoirs0


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
1Emil Pettersson (A)X100.006929827378718175727873646875592848720262950,000$
2Trent Frederic (R)X100.007027907174887365747466817054465151720222850,000$
3Theodor Blueger (A)X100.007435847371687678677278647064583151710262875,000$
4Kyle PlatzerX100.005439747048726076696969708149502945660252625,000$
5Nikolai Kovalenko (R)X100.006539716973726367716560507043475451630213650,000$
6Alexei Toropchenko (R)X100.006629696167586261606275596944455051620212600,000$
7Beck Malenstyn (R)X100.005836656166606160725680375444444037600223550,000$
8Angus Crookshank (R)X100.005328687364646561564674486843455930600211500,000$
9Adam Beckman (R)X100.004937776859646063465569425541416551580191500,000$
10Yegor Sokolov (R)X100.005532664965536657505771355544445351550202500,000$
11Alex Jefferies (R)X100.005143655459565246446061525343436428540192500,000$
12Sam Colangelo (R)X100.005534594371615062555564444840407733540182500,000$
13Luke Martin (R)X100.006129777667597182337262774951494948690221500,000$
14Jordan GrossX100.007328736666697165517270695555562936670251750,000$
15Dennis Cholowski (R)X100.006537845862727462417068656045465341650222650,000$
16Ryan Merkley (R)X100.006324715349555463396266504942425734570203500,000$
17Mason Langenbrunner (R)X100.004630565849435354306140573340406817510182500,000$
Rayé
1Jacob Peterson (R)X100.006437735975677269656879496544444820650213650,000$
2Adam Edstrom (R)X100.006534626376577767486661554444426019600201500,000$
3Jackson Kunz (R)X100.004925634768535661615755425640406522530182500,000$
4Adam Raska (R)X100.007453594370476346535154384342415720510192500,000$
5Antonio Stranges (R)X100.004415664752436155537057364940406919510182500,000$
6Bogdan Trineyev (R)X100.004630585061503944524759324240406319480182500,000$
7Ryder Rolston (R)X100.004916605753444346505333434340406121450182500,000$
8Alex Lintuniemi (R)X87.636135757261646175387260705047503828660242800,000$
9Bode Wilde (R)X93.247443666166684855356254624442425827610202600,000$
MOYENNE D’ÉQUIPE99.26603270616461626253636454564645533560
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
1Kevin Mandolese99.00765566777850556468497145445257630203650,000$
2Filip Larsson100.00696661625862616352635846475441590221500,000$
Rayé
1Henrik Tikkanen (R)100.00584055637155455556605944455035560202500,000$
2Aidan Campbell (R)100.00505047635543344551465840406120470182500,000$
MOYENNE D’ÉQUIPE99.7563535766665349575755624444543856
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter77816664436854Can693750,000$


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
1Emil PetterssonBarracuda (S.J)C594464108-25155801342838415915.55%44132122.391224364319801161816352.34%20105625031.6400010765
2Trent FredericBarracuda (S.J)C5932457790077972055113515.61%32107418.21711182115710121222247.95%7093420011.4300000564
3Nikolai KovalenkoBarracuda (S.J)RW59353671-27480105542014211417.41%34117419.91121022322000001454248.65%1113718021.2100000522
4Luke MartinBarracuda (S.J)D52175067-5300808918578779.19%76134925.9591827451880113141100%05336100.9900000223
5Alexei ToropchenkoBarracuda (S.J)RW59222446738011948136476316.18%2194015.95471115156000002148.08%52245000.9800000421
6Theodor BluegerBarracuda (S.J)C59212041-16206567152528713.82%2470011.87000001014333248.08%312359011.1700000212
7Beck MalenstynBarracuda (S.J)LW53201939-13520775587254922.99%26105920.00369121680002952156.32%871415000.7400000033
8Alex LintuniemiBarracuda (S.J)D5443236-1818060879935394.04%63108620.1218971310002116100%02234000.6601000010
9Robin NorellSharksD4943236-161158010811634413.45%72135427.6521113221740001167000%03054000.5300010022
10Angus CrookshankBarracuda (S.J)LW51181533-1515644799307218.18%1589517.56527121450002464039.53%432315000.7400000011
11Adam BeckmanBarracuda (S.J)LW59111728-17255344480236613.75%1071912.20112122000061151.72%291812000.7800000013
12Jordan GrossBarracuda (S.J)D5691827-35420938578333911.54%69122221.836410121610001126010%02734000.4400000100
13Dennis CholowskiBarracuda (S.J)D5921517-136040825722313.51%4994315.99213557000278000%01234000.3600000000
14Kyle PlatzerBarracuda (S.J)C527815-76018369225517.61%134238.14000240000411152.63%1141213000.7100000011
15Ryan MerkleyBarracuda (S.J)D40189-880212622954.55%1945911.4900005000018000%045000.3900000000
16Bode WildeBarracuda (S.J)D42189-2295404223984.35%4154012.8600009000015000%0119000.3300010000
17Yegor SokolovBarracuda (S.J)RW59538-1626051343261715.63%1267311.4100013000000068.42%1944000.2400000001
18Alex JefferiesBarracuda (S.J)LW41145-61752618971211.11%103859.390110200000390033.33%1228000.2600001000
19Jacob PetersonBarracuda (S.J)C23033-500882313130%31074.69000120001180068.18%2213000.5600000000
20Adam RaskaBarracuda (S.J)RW320221801532030%21123.5100001000010066.67%600000.3600000000
21Jackson KunzBarracuda (S.J)LW41202-612017141651012.50%102866.98000020000250037.50%814000.1400000000
22Mason LangenbrunnerBarracuda (S.J)D24022860372030%91335.540000100007000%015000.3000000000
23Sam ColangeloBarracuda (S.J)RW37011-1260161714470%52978.03000060000100075.00%410000.0700000000
24Bogdan TrineyevBarracuda (S.J)RW26101-1006321050.00%2933.5900000000001025.00%401000.2100000000
25Antonio StrangesBarracuda (S.J)LW17000-100010000%040.2900000000030025.00%40100000000000
26Adam EdstromBarracuda (S.J)C17000000100000%070.46000020000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne1179257426683-22545630119612062015635110112.75%6611736714.73641041682311821224271342281450.94%3547412374170.7901031262828
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
1Kevin MandoleseBarracuda (S.J)46211410.8584.8223400018813207801200446001
2Filip LarssonBarracuda (S.J)2571220.8524.641099408557431111001524000
3Henrik TikkanenBarracuda (S.J)40200.8544.1210200748300000024000
Statistiques d’équipe totales ou en moyenne75282830.8564.74354240280194211212305954001


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 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 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
Adam BeckmanBarracuda (S.J)LW192001-01-01CANYes183 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Adam EdstromBarracuda (S.J)C202000-01-01SWEYes234 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Adam RaskaBarracuda (S.J)RW192001-01-01CZEYes176 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Aidan CampbellBarracuda (S.J)G182002-01-01USAYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Alex JefferiesBarracuda (S.J)LW192001-01-01USAYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Alex LintuniemiBarracuda (S.J)D241996-01-01FINYes214 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm800,000$231,953$0$0$No800,000$--------800,000$--------No--------Lien
Alexei ToropchenkoBarracuda (S.J)RW211999-01-01RUSYes222 Lbs6 ft6NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$173,964$0$0$No600,000$--------600,000$--------No--------Lien
Angus CrookshankBarracuda (S.J)LW211999-01-01CANYes181 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Antonio StrangesBarracuda (S.J)LW182002-01-01USAYes168 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Beck MalenstynBarracuda (S.J)LW221998-01-01CANYes194 Lbs6 ft2NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm550,000$159,467$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Lien
Bode Wilde (sur la masse salariale)Barracuda (S.J)D202000-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$173,964$0$0$Yes600,000$--------600,000$--------No--------Lien
Bogdan TrineyevBarracuda (S.J)RW182002-01-01RUSYes198 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Dennis CholowskiBarracuda (S.J)D221998-01-01CANYes196 Lbs6 ft2NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm650,000$188,462$0$0$No650,000$--------650,000$--------No--------Lien
Emil PetterssonBarracuda (S.J)C261994-01-01SWENo185 Lbs6 ft1NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm950,000$275,444$0$0$No950,000$--------950,000$--------No--------Lien
Filip LarssonBarracuda (S.J)G221998-01-01SWENo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Henrik TikkanenBarracuda (S.J)G202000-01-01FINYes207 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Jackson KunzBarracuda (S.J)LW182002-01-01USAYes215 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Jacob PetersonBarracuda (S.J)C211999-01-01SWEYes180 Lbs6 ft1NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$188,462$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Jordan GrossBarracuda (S.J)D251995-01-01USANo190 Lbs5 ft10NoNoFree AgentNoNo12025-10-01FalseFalsePro & Farm750,000$217,456$0$0$No---------------------------Lien
Kevin MandoleseBarracuda (S.J)G202000-01-01CANNo180 Lbs6 ft4NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$188,462$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Kyle PlatzerBarracuda (S.J)C251995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm625,000$181,213$0$0$No625,000$--------625,000$--------No--------Lien
Luke MartinBarracuda (S.J)D221998-01-01USAYes218 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Mason LangenbrunnerBarracuda (S.J)D182002-01-01USAYes170 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Nikolai KovalenkoBarracuda (S.J)RW211999-01-01RUSYes185 Lbs5 ft10NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$188,462$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Ryan MerkleyBarracuda (S.J)D202000-01-01CANYes186 Lbs6 ft0NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Ryder RolstonBarracuda (S.J)RW182002-01-01USAYes175 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Sam ColangeloBarracuda (S.J)RW182002-01-01USAYes209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Theodor BluegerBarracuda (S.J)C261994-01-01LVANo171 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm875,000$253,698$0$0$No950,000$--------950,000$--------No--------Lien
Trent FredericBarracuda (S.J)C221998-01-01USAYes203 Lbs6 ft2NoNoFree Agent2025-04-15NoNo22025-10-01FalseFalsePro & Farm850,000$246,450$0$0$No950,000$--------950,000$--------No--------Lien
Yegor SokolovBarracuda (S.J)RW202000-01-01RUSYes240 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3020.77194 Lbs6 ft21.97590,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynTrent FredericNikolai Kovalenko40122
2Angus CrookshankEmil PetterssonAlexei Toropchenko30122
3Adam BeckmanTheodor BluegerYegor Sokolov20122
4Alex JefferiesKyle PlatzerSam Colangelo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJordan Gross40122
2Dennis Cholowski30122
3Ryan MerkleyMason Langenbrunner20122
4Luke MartinJordan Gross10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynTrent FredericNikolai Kovalenko60122
2Angus CrookshankEmil PetterssonAlexei Toropchenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJordan Gross60122
2Dennis Cholowski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericEmil Pettersson60122
2Theodor BluegerKyle Platzer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJordan Gross60122
2Dennis Cholowski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Luke MartinJordan Gross60122
2Emil Pettersson40122Dennis Cholowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericEmil Pettersson60122
2Theodor BluegerKyle Platzer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJordan Gross60122
2Dennis Cholowski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynTrent FredericNikolai KovalenkoLuke MartinJordan Gross
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynTrent FredericNikolai KovalenkoLuke MartinJordan Gross
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Beckman, Yegor Sokolov, Sam ColangeloAdam Beckman, Yegor SokolovSam Colangelo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Merkley, Mason Langenbrunner, Ryan MerkleyMason Langenbrunner,
Tirs de pénalité
Trent Frederic, Emil Pettersson, Theodor Blueger, Kyle Platzer, Nikolai Kovalenko
Gardien
#1 : Filip Larsson, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Trent Frederic, Emil Pettersson, Theodor Blueger, Kyle Platzer, Nikolai Kovalenko, Alexei Toropchenko, Beck Malenstyn, Angus Crookshank, Adam Beckman, Yegor Sokolov
Lignes de défense personnalisées en prolongation
Luke Martin, Jordan Gross, , Dennis Cholowski, Ryan Merkley


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
1Admirals11000000541110000005410000000000021.000581300629010142862769468863516622200.00%30100.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
2Americans20200000515-1010100000110-91010000045-100.00058130062901014616276946886762520435120.00%9366.67%0663134849.18%608114952.92%536103451.84%121266712745551061526
3Canucks11000000734000000000001100000073421.00079160062901014386276946886341013113133.33%40100.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
4Checkers3210000014131110000007522110000078-140.667142337106290101499627694688610836185816531.25%9277.78%0663134849.18%608114952.92%536103451.84%121266712745551061526
5Comets2110000079-21010000025-31100000054120.5007916006290101460627694688662188326233.33%4175.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
6Condors210001001091110000005321000010056-130.75010162600629010146962769468865816203616318.75%10280.00%1663134849.18%608114952.92%536103451.84%121266712745551061526
7Crunch20200000411-720200000411-70000000000000.0004711006290101465627694688666208336116.67%40100.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
8Eagles321000001615111000000642211000001011-140.6671626420062901014100627694688611331296714642.86%13469.23%0663134849.18%608114952.92%536103451.84%121266712745551061526
9Firebirds403010001221-91010000046-230201000815-720.2501222340062901014132627694688614543268017317.65%13653.85%0663134849.18%608114952.92%536103451.84%121266712745551061526
10Griffins422000001617-11010000025-3321000001412240.5001628441062901014123627694688613252408514428.57%20290.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
11Gulls2200000013103110000005411100000086241.00013223500629010147862769468865823184916531.25%9455.56%0663134849.18%608114952.92%536103451.84%121266712745551061526
12Icehogs21000100761110000004221000010034-130.75071219006290101465627694688665308368225.00%40100.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
13Little Stars10001000541000000000001000100054121.0005813006290101432627694688646128223133.33%4175.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
14Marlies422000002120132100000161421010000056-140.5002135560062901014151627694688612138296914321.43%12375.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
15Moose200020001192100010006511000100054141.00011203100629010147262769468866728163611436.36%8362.50%0663134849.18%608114952.92%536103451.84%121266712745551061526
16Penguins421001001517-2311001001115-41100000042250.625152742006290101414762769468861235851697228.57%14285.71%1663134849.18%608114952.92%536103451.84%121266712745551061526
17Punishers303000001421-71010000058-320200000913-400.000142034006290101411662769468869928146410330.00%8275.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
18Roadrunners20200000612-61010000046-21010000026-400.0006101600629010148162769468866524143814428.57%7271.43%0663134849.18%608114952.92%536103451.84%121266712745551061526
19Rockets431000002015532100000141221100000063360.7502035550062901014136627694688612447228015426.67%11190.91%0663134849.18%608114952.92%536103451.84%121266712745551061526
20Senators2110000078-1110000004221010000036-320.500710170062901014536276946886712922544125.00%11281.82%0663134849.18%608114952.92%536103451.84%121266712745551061526
21Thunderbirds202000001014-4202000001014-40000000000000.00010182810629010146662769468866319103412325.00%5260.00%0663134849.18%608114952.92%536103451.84%121266712745551061526
22Wolfpack5230000024231211000001091312000001414040.40024396300629010141776276946886159444212318422.22%21290.48%0663134849.18%608114952.92%536103451.84%121266712745551061526
23Wranglers21100000871000000000002110000087120.500814220062901014666276946886551418556233.33%9277.78%0663134849.18%608114952.92%536103451.84%121266712745551061526
Total59242804300257283-2629131401100125144-1930111403200132139-7590.500257426683306290101420156276946886194566146011962376427.00%2124678.30%2663134849.18%608114952.92%536103451.84%121266712745551061526
_Since Last GM Reset59242804300257283-2629131401100125144-1930111403200132139-7590.500257426683306290101420156276946886194566146011962376427.00%2124678.30%2663134849.18%608114952.92%536103451.84%121266712745551061526
_Vs Conference39191801100170178-81999001008190-9201090100089881410.52617028745720629010141334627694688612664243098001494127.52%1392979.14%1663134849.18%608114952.92%536103451.84%121266712745551061526
_Vs Division1688000007775274300000343229450000043430160.5007712820510629010145516276946886525165140344601728.33%661183.33%0663134849.18%608114952.92%536103451.84%121266712745551061526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5959W425742668320151945661460119630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5924284300257283
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913141100125144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3011143200132139
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2376427.00%2124678.30%2
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
627694688662901014
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
663134849.18%608114952.92%536103451.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
121266712745551061526


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
210Barracuda4Griffins6LR1Sommaire du match
320Marlies4Barracuda6WSommaire du match
536Eagles4Barracuda6WSommaire du match
643Barracuda5Wolfpack7LSommaire du match
960Penguins7Barracuda3LSommaire du match
1279Barracuda4Firebirds7LSommaire du match
1385Barracuda4Eagles6LSommaire du match
1699Wolfpack4Barracuda2LSommaire du match
18112Griffins5Barracuda2LR1Sommaire du match
19121Barracuda5Marlies6LSommaire du match
22140Barracuda7Wolfpack4WSommaire du match
24149Rockets6Barracuda7WSommaire du match
26163Thunderbirds7Barracuda5LSommaire du match
28173Barracuda7Wranglers3WSommaire du match
31190Barracuda6Punishers9LSommaire du match
33200Rockets2Barracuda5WSommaire du match
35214Americans10Barracuda1LSommaire du match
37223Barracuda5Condors6LXR1Sommaire du match
39240Penguins5Barracuda4LXSommaire du match
41247Barracuda4Penguins2WSommaire du match
43261Barracuda1Firebirds6LSommaire du match
45272Roadrunners6Barracuda4LSommaire du match
47287Barracuda3Icehogs4LXSommaire du match
49301Icehogs2Barracuda4WSommaire du match
51313Barracuda3Firebirds2WXSommaire du match
53323Barracuda3Punishers4LSommaire du match
55334Crunch3Barracuda1LSommaire du match
57347Barracuda2Wolfpack3LSommaire du match
58359Punishers8Barracuda5LSommaire du match
60371Barracuda6Rockets3WSommaire du match
62384Checkers5Barracuda7WSommaire du match
64397Barracuda6Griffins3WR1Sommaire du match
65407Barracuda5Moose4WXSommaire du match
67416Marlies7Barracuda2LSommaire du match
70435Penguins3Barracuda4WSommaire du match
71448Barracuda1Wranglers4LSommaire du match
73460Barracuda7Canucks3WSommaire du match
74467Wolfpack5Barracuda8WSommaire du match
78487Firebirds6Barracuda4LSommaire du match
80501Barracuda4Griffins3WR1Sommaire du match
82514Barracuda2Roadrunners6LSommaire du match
83518Thunderbirds7Barracuda5LSommaire du match
86539Barracuda4Americans5LSommaire du match
87545Senators2Barracuda4WSommaire du match
90566Rockets4Barracuda2LSommaire du match
92581Barracuda3Checkers5LSommaire du match
94588Barracuda5Little Stars4WXSommaire du match
95597Condors3Barracuda5WR1Sommaire du match
98615Barracuda3Senators6LSommaire du match
99622Comets5Barracuda2LSommaire du match
102646Crunch8Barracuda3LSommaire du match
104657Barracuda4Checkers3WSommaire du match
105669Admirals4Barracuda5WSommaire du match
107677Barracuda5Comets4WSommaire du match
110694Moose5Barracuda6WXSommaire du match
112710Barracuda6Eagles5WSommaire du match
115725Marlies3Barracuda8WSommaire du match
117739Barracuda8Gulls6WSommaire du match
119748Gulls4Barracuda5WSommaire du match
122766Barracuda-Islander-
123775Wolfpack-Barracuda-
126793Little Stars-Barracuda-
128808Barracuda-Crunch-
130816Barracuda-Bears-
131825Firebirds-Barracuda-
135846Canucks-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137860Barracuda-Comets-
139874Wranglers-Barracuda-
141886Barracuda-Gulls-
142893Barracuda-Eagles-
144904Islander-Barracuda-
148924Eagles-Barracuda-
150942Bears-Barracuda-
152954Barracuda-Admirals-
155972Eagles-Barracuda-
157984Barracuda-Marlies-
160995Barracuda-Thunderbirds-
1621009Griffins-Barracuda-
1641020Griffins-Barracuda-
1651026Barracuda-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance53,64827,138
Assistance PCT92.50%93.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2786 - 92.86% 175,273$5,082,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,835,226$ 1,770,000$ 1,770,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,118$ 1,288,816$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,928,006$ 49 14,911$ 730,639$




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