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Connexion

Barracuda
GP: 15 | W: 5 | L: 10 | OTL: 0 | P: 10
GF: 73 | GA: 85 | PP%: 33.33% | PK%: 83.64%
DG: Roland Roberge | Morale : 34 | Moyenne d’équipe : 60
Prochains matchs #200 vs Rockets

Centre de jeu
Barracuda
5-10-0, 10pts
7
3 Wranglers
3-11-1, 7pts
Team Stats
L1SéquenceL2
3-4-0Fiche domicile1-5-1
2-6-0Fiche domicile2-6-0
3-7-0Derniers 10 matchs3-6-1
4.87Buts par match 3.40
5.67Buts contre par match 5.13
33.33%Pourcentage en avantage numérique25.49%
83.64%Pourcentage en désavantage numérique82.76%
Barracuda
5-10-0, 10pts
6
9 Punishers
7-6-2, 16pts
Team Stats
L1SéquenceW1
3-4-0Fiche domicile5-2-1
2-6-0Fiche domicile2-4-1
3-7-0Derniers 10 matchs4-5-1
4.87Buts par match 4.40
5.67Buts contre par match 4.33
33.33%Pourcentage en avantage numérique11.11%
83.64%Pourcentage en désavantage numérique77.59%
Rockets
9-5-1, 19pts
Jour 33
Barracuda
5-10-0, 10pts
Statistiques d’équipe
OTL1SéquenceL1
5-1-1Fiche domicile3-4-0
4-4-0Fiche visiteur2-6-0
5-4-110 derniers matchs3-7-0
4.47Buts par match 4.87
4.13Buts contre par match 4.87
19.05%Pourcentage en avantage numérique33.33%
77.94%Pourcentage en désavantage numérique83.64%
Americans
9-7-0, 18pts
Jour 35
Barracuda
5-10-0, 10pts
Statistiques d’équipe
W1SéquenceL1
4-4-0Fiche domicile3-4-0
5-3-0Fiche visiteur2-6-0
8-2-010 derniers matchs3-7-0
4.50Buts par match 4.87
4.63Buts contre par match 4.87
16.67%Pourcentage en avantage numérique33.33%
78.57%Pourcentage en désavantage numérique83.64%
Barracuda
5-10-0, 10pts
Jour 37
Condors
5-9-1, 11pts
Statistiques d’équipe
L1SéquenceL2
3-4-0Fiche domicile3-4-1
2-6-0Fiche visiteur2-5-0
3-7-010 derniers matchs3-6-1
4.87Buts par match 3.47
5.67Buts contre par match 3.47
33.33%Pourcentage en avantage numérique13.33%
83.64%Pourcentage en désavantage numérique78.72%
Meneurs d'équipe
Buts
Nikolai Kovalenko
16
Passes
Emil Pettersson
25
Points
Emil Pettersson
34
Plus/Moins
Dennis Cholowski
4
Victoires
Kevin Mandolese
4
Pourcentage d’arrêts
Filip Larsson
0.883

Statistiques d’équipe
Buts pour
73
4.87 GFG
Tirs pour
511
34.07 Avg
Pourcentage en avantage numérique
33.3%
20 GF
Début de zone offensive
37.5%
Buts contre
85
5.67 GAA
Tirs contre
496
33.07 Avg
Pourcentage en désavantage numérique
83.6%%
9 GA
Début de la zone défensive
30.8%
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
Assistance2,785
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
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)X100.006929827378718175727873646875592838720262950,000$
2Trent Frederic (R)X100.007027907174887365747466817054465138720222850,000$
3Theodor Blueger (A)X100.007435847371687678677278647064583138710262875,000$
4Kyle PlatzerX100.005439747048726076696969708149502931660252625,000$
5Nikolai Kovalenko (R)X100.006539716973726367716560507043475438630213650,000$
6Alexei Toropchenko (R)X100.006629696167586261606275596944455038620212600,000$
7Beck Malenstyn (R)X100.005836656166606160725680375444444038600223550,000$
8Angus Crookshank (R)X100.005328687364646561564674486843455938600211500,000$
9Adam Beckman (R)X100.004937776859646063465569425541416538580191500,000$
10Yegor Sokolov (R)X100.005532664965536657505771355544445338550202500,000$
11Alex Jefferies (R)X100.005143655459565246446061525343436437540192500,000$
12Adam Raska (R)X100.007453594370476346535154384342415733510192500,000$
13Robin NorellX100.007433867268777167467758876467543135730252900,000$
14Luke Martin (R)X100.006129777667597182337262774951494934690221500,000$
15Jordan GrossX100.007328736666697165517270695555562938670251750,000$
16Alex Lintuniemi (R)X100.006135757261646175387260705047503838660242800,000$
17Dennis Cholowski (R)X100.006537845862727462417068656045465338650222650,000$
18Bode Wilde (R)X100.007443666166684855356254624442425838610202600,000$
Rayé
1Jacob Peterson (R)X100.006437735975677269656879496544444831650213650,000$
2Adam Edstrom (R)X100.006534626376577767486661554444426030600201500,000$
3Sam Colangelo (R)X97.715534594371615062555564444840407727540182500,000$
4Jackson Kunz (R)X100.004925634768535661615755425640406531530182500,000$
5Antonio Stranges (R)X100.004415664752436155537057364940406930510182500,000$
6Bogdan Trineyev (R)X100.004630585061503944524759324240406330480182500,000$
7Ryder Rolston (R)X100.004916605753444346505333434340406125450182500,000$
8Ryan Merkley (R)X100.006324715349555463396266504942425731570203500,000$
9Mason Langenbrunner (R)X100.004630565849435354306140573340406830510182500,000$
MOYENNE D’ÉQUIPE99.92603270616461626253636455564745523460
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 Mandolese97.00765566777850556468497145445241630203650,000$
2Filip Larsson100.00696661625862616352635846475442590221500,000$
Rayé
1Henrik Tikkanen (R)100.00584055637155455556605944455032560202500,000$
2Aidan Campbell (R)100.00505047635543344551465840406132470182500,000$
MOYENNE D’ÉQUIPE99.2563535766665349575755624444543756
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)C1592534-940204371233612.68%1133322.22381111480002481050.27%551139002.0400000122
2Nikolai KovalenkoBarracuda (S.J)RW15161026-9140241657163028.07%1230120.0863910480000141148.65%3797021.7300000300
3Trent FredericBarracuda (S.J)C1581018-300241941203419.51%526817.923364330000301142.86%15494001.3400000111
4Alex LintuniemiBarracuda (S.J)D1531114-44017222614711.54%1530520.39145329000135000%095000.9201000000
5Alexei ToropchenkoBarracuda (S.J)RW156814-46030930121120.00%323615.74235233000000036.36%1141001.1900000010
6Robin NorellBarracuda (S.J)D1511112-245525314313132.33%2141827.89145954000151000%01119000.5700010000
7Beck MalenstynBarracuda (S.J)LW158412-9180212130101126.67%730120.091124430001271055.00%2011000.8000000011
8Angus CrookshankBarracuda (S.J)LW15639-160151443122613.95%426917.941124380001170063.64%1185000.6700000000
9Theodor BluegerBarracuda (S.J)C15358-102014193211269.38%817511.6800000000070045.68%8192000.9100000001
10Luke MartinBarracuda (S.J)D8178-920141216996.25%1015519.43134723000012000%042001.0300000000
11Adam BeckmanBarracuda (S.J)LW15527-860991971726.32%316911.3000000000021025.00%875000.8300000001
12Jordan GrossBarracuda (S.J)D15246-1316020311881511.11%1935623.74112242000041000%087000.3400000000
13Dennis CholowskiBarracuda (S.J)D15066420132222260%825416.95011213000229000%0611000.4700000000
14Kyle PlatzerBarracuda (S.J)C823530013123816.67%1445.5100010000010040.00%1502002.2700000000
15Bode WildeBarracuda (S.J)D151343801417103510.00%1718512.370000300003000%005000.4300000000
16Jacob PetersonBarracuda (S.J)C9033-600672013100%3819.10000000001100072.22%1812000.7300000000
17Alex JefferiesBarracuda (S.J)LW121120203231433.33%2907.5500000000010000%114000.4400000000
18Sam ColangeloBarracuda (S.J)RW7011-200241120%1527.570000000000000%000000.3800000000
19Yegor SokolovBarracuda (S.J)RW15011-910012106030%317011.3600010000000033.33%322000.1200000000
20Adam RaskaBarracuda (S.J)RW12011100931020%1564.72000000000000100.00%100000.3500000000
21Jackson KunzBarracuda (S.J)LW9101-26042102100.00%3434.8000000000040050.00%201000.4600000000
22Ryan MerkleyBarracuda (S.J)D9011-320679210%510812.010000000002000%021000.1800000000
23Mason LangenbrunnerBarracuda (S.J)D6000000000000%0172.940000000000000%00000000000000
24Antonio StrangesBarracuda (S.J)LW6000-100010000%040.8300000000030025.00%40100000000000
25Adam EdstromBarracuda (S.J)C6000000000000%050.83000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne30273120193-115113530332451118027814.29%162440514.592032526041400093565248.58%91810496020.8801010556
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)154600.8166.1567300693742090100150000
2Filip LarssonBarracuda (S.J)81400.8833.732250014120750100015000
Statistiques d’équipe totales ou en moyenne2351000.8325.5589800834942840201515000


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$405,325$0$0$No---------------------------Lien
Adam EdstromBarracuda (S.J)C202000-01-01SWEYes234 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Adam RaskaBarracuda (S.J)RW192001-01-01CZEYes176 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Aidan CampbellBarracuda (S.J)G182002-01-01USAYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Alex JefferiesBarracuda (S.J)LW192001-01-01USAYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Alex LintuniemiBarracuda (S.J)D241996-01-01FINYes214 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm800,000$648,521$0$0$No800,000$--------800,000$--------No--------Lien
Alexei ToropchenkoBarracuda (S.J)RW211999-01-01RUSYes222 Lbs6 ft6NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Angus CrookshankBarracuda (S.J)LW211999-01-01CANYes181 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Antonio StrangesBarracuda (S.J)LW182002-01-01USAYes168 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Beck MalenstynBarracuda (S.J)LW221998-01-01CANYes194 Lbs6 ft2NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm550,000$445,858$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Lien
Bode WildeBarracuda (S.J)D202000-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Bogdan TrineyevBarracuda (S.J)RW182002-01-01RUSYes198 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Dennis CholowskiBarracuda (S.J)D221998-01-01CANYes196 Lbs6 ft2NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm650,000$526,923$0$0$No650,000$--------650,000$--------No--------Lien
Emil PetterssonBarracuda (S.J)C261994-01-01SWENo185 Lbs6 ft1NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm950,000$770,118$0$0$No950,000$--------950,000$--------No--------Lien
Filip LarssonBarracuda (S.J)G221998-01-01SWENo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Henrik TikkanenBarracuda (S.J)G202000-01-01FINYes207 Lbs6 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Jackson KunzBarracuda (S.J)LW182002-01-01USAYes215 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Jacob PetersonBarracuda (S.J)C211999-01-01SWEYes180 Lbs6 ft1NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$526,923$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$607,988$0$0$No---------------------------Lien
Kevin MandoleseBarracuda (S.J)G202000-01-01CANNo180 Lbs6 ft4NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$526,923$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$506,657$0$0$No625,000$--------625,000$--------No--------Lien
Luke MartinBarracuda (S.J)D221998-01-01USAYes218 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Mason LangenbrunnerBarracuda (S.J)D182002-01-01USAYes170 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Nikolai KovalenkoBarracuda (S.J)RW211999-01-01RUSYes185 Lbs5 ft10NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm650,000$526,923$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Robin NorellBarracuda (S.J)D251995-01-01SWENo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm900,000$729,586$0$0$No900,000$--------900,000$--------No--------Lien
Ryan MerkleyBarracuda (S.J)D202000-01-01CANYes186 Lbs6 ft0NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm500,000$405,325$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$405,325$0$0$No500,000$--------500,000$--------No--------
Sam ColangeloBarracuda (S.J)RW182002-01-01USAYes209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Theodor BluegerBarracuda (S.J)C261994-01-01LVANo171 Lbs6 ft0NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm875,000$709,320$0$0$No950,000$--------950,000$--------No--------Lien
Trent FredericBarracuda (S.J)C221998-01-01USAYes203 Lbs6 ft2NoNoFree Agent2025-04-15NoNo22025-10-01FalseFalsePro & Farm850,000$689,053$0$0$No950,000$--------950,000$--------No--------Lien
Yegor SokolovBarracuda (S.J)RW202000-01-01RUSYes240 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3120.90194 Lbs6 ft21.97600,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynEmil PetterssonNikolai Kovalenko40122
2Angus CrookshankTrent FredericAlexei Toropchenko30122
3Adam BeckmanTheodor BluegerYegor Sokolov20122
4Alex JefferiesKyle PlatzerAdam Raska10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin NorellLuke Martin40122
2Jordan GrossAlex Lintuniemi30122
3Dennis CholowskiBode Wilde20122
4Robin NorellLuke Martin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Beck MalenstynEmil PetterssonNikolai Kovalenko60122
2Angus CrookshankTrent FredericAlexei Toropchenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin NorellLuke Martin60122
2Jordan GrossAlex Lintuniemi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonBeck Malenstyn60122
2Trent FredericAngus Crookshank40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin NorellLuke Martin60122
2Jordan GrossAlex Lintuniemi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Pettersson60122Robin NorellLuke Martin60122
2Trent Frederic40122Jordan GrossAlex Lintuniemi40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonBeck Malenstyn60122
2Trent FredericAngus Crookshank40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin NorellLuke Martin60122
2Jordan GrossAlex Lintuniemi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynEmil PetterssonNikolai KovalenkoRobin NorellLuke Martin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Beck MalenstynEmil PetterssonNikolai KovalenkoRobin NorellLuke Martin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolai Kovalenko, Alexei Toropchenko, Beck MalenstynNikolai Kovalenko, Alexei ToropchenkoNikolai Kovalenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Lintuniemi, Dennis Cholowski, Bode WildeAlex LintuniemiAlex Lintuniemi, Dennis Cholowski
Tirs de pénalité
Emil Pettersson, Trent Frederic, Theodor Blueger, Kyle Platzer, Nikolai Kovalenko
Gardien
#1 : Kevin Mandolese, #2 : Filip Larsson
Lignes d’attaque personnalisées en prolongation
Emil Pettersson, Trent Frederic, Theodor Blueger, Kyle Platzer, Nikolai Kovalenko, Alexei Toropchenko, Beck Malenstyn, Angus Crookshank, Adam Beckman, Yegor Sokolov
Lignes de défense personnalisées en prolongation
Robin Norell, Luke Martin, Jordan Gross, Alex Lintuniemi, Dennis Cholowski


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
1Eagles2110000010100110000006421010000046-220.500101626001626310701401851860752718428337.50%9277.78%017134449.71%14928352.65%12629143.30%306171326140267130
2Firebirds1010000047-3000000000001010000047-300.000471100162631029140185186038104246350.00%2150.00%017134449.71%14928352.65%12629143.30%306171326140267130
3Griffins20200000611-51010000025-31010000046-200.00061117101626310561401851860682416406233.33%8187.50%017134449.71%14928352.65%12629143.30%306171326140267130
4Marlies2110000011101110000006421010000056-120.5001117280016263107314018518605718143010330.00%7185.71%017134449.71%14928352.65%12629143.30%306171326140267130
5Penguins1010000037-41010000037-40000000000000.0003580016263103214018518603516716100.00%10100.00%017134449.71%14928352.65%12629143.30%306171326140267130
6Punishers1010000069-3000000000001010000069-300.000691500162631040140185186036102183133.33%20100.00%017134449.71%14928352.65%12629143.30%306171326140267130
7Rockets11000000761110000007610000000000021.0007121900162631037140185186031146226350.00%3166.67%017134449.71%14928352.65%12629143.30%306171326140267130
8Thunderbirds1010000057-21010000057-20000000000000.000581310162631030140185186031106166233.33%30100.00%017134449.71%14928352.65%12629143.30%306171326140267130
9Wolfpack312000001415-11010000024-2211000001211120.33314233700162631010614018518609926326511218.18%16287.50%017134449.71%14928352.65%12629143.30%306171326140267130
10Wranglers11000000734000000000001100000073421.000712190016263103814018518602678303133.33%4175.00%017134449.71%14928352.65%12629143.30%306171326140267130
Total15510000007385-12734000003137-6826000004248-6100.333731201932016263105111401851860496162113303602033.33%55983.64%017134449.71%14928352.65%12629143.30%306171326140267130
_Since Last GM Reset15510000007385-12734000003137-6826000004248-6100.333731201932016263105111401851860496162113303602033.33%55983.64%017134449.71%14928352.65%12629143.30%306171326140267130
_Vs Conference1358000006269-7633000002630-4725000003639-3100.385621031651016263104411401851860429142105269511733.33%50982.00%017134449.71%14928352.65%12629143.30%306171326140267130
_Vs Division936000004146-5422000001617-1514000002529-460.333416710810162631030514018518602999580177351028.57%40685.00%017134449.71%14928352.65%12629143.30%306171326140267130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1510L17312019351149616211330320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1551000007385
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400003137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82600004248
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
602033.33%55983.64%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
14018518601626310
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
17134449.71%14928352.65%12629143.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
306171326140267130


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
33200Rockets-Barracuda-
35214Americans-Barracuda-
37223Barracuda-Condors-
39240Penguins-Barracuda-
41247Barracuda-Penguins-
43261Barracuda-Firebirds-
45272Roadrunners-Barracuda-
47287Barracuda-Icehogs-
49301Icehogs-Barracuda-
51313Barracuda-Firebirds-
53323Barracuda-Punishers-
55334Crunch-Barracuda-
57347Barracuda-Wolfpack-
58359Punishers-Barracuda-
60371Barracuda-Rockets-
62384Checkers-Barracuda-
64397Barracuda-Griffins-
65407Barracuda-Moose-
67416Marlies-Barracuda-
70435Penguins-Barracuda-
71448Barracuda-Wranglers-
73460Barracuda-Canucks-
74467Wolfpack-Barracuda-
78487Firebirds-Barracuda-
80501Barracuda-Griffins-
82514Barracuda-Roadrunners-
83518Thunderbirds-Barracuda-
86539Barracuda-Americans-
87545Senators-Barracuda-
90566Rockets-Barracuda-
92581Barracuda-Checkers-
94588Barracuda-Little Stars-
95597Condors-Barracuda-
98615Barracuda-Senators-
99622Comets-Barracuda-
102646Crunch-Barracuda-
104657Barracuda-Checkers-
105669Admirals-Barracuda-
107677Barracuda-Comets-
110694Moose-Barracuda-
112710Barracuda-Eagles-
115725Marlies-Barracuda-
117739Barracuda-Gulls-
119748Gulls-Barracuda-
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
Assistance12,9316,564
Assistance PCT92.36%93.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2785 - 92.83% 175,160$1,226,117$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
493,616$ 1,860,000$ 1,860,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,006$ 347,160$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,780,266$ 137 15,444$ 2,115,828$




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