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Connexion

Barracuda
GP: 25 | W: 14 | L: 10 | OTL: 1 | P: 29
GF: 101 | GA: 103 | PP%: 15.09% | PK%: 78.50%
DG: Roland Roberge | Morale : 47 | Moyenne d’équipe : 64
Prochains matchs #326 vs Little Stars
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Centre de jeu
Barracuda
14-10-1, 29pts
3
FINAL
6 Checkers
12-9-3, 27pts
Team Stats
SOW1SéquenceW2
8-3-1Fiche domicile7-4-1
6-7-0Fiche domicile5-5-2
5-5-0Derniers 10 matchs4-5-1
4.04Buts par match 4.50
4.12Buts contre par match 4.29
15.09%Pourcentage en avantage numérique21.50%
78.50%Pourcentage en désavantage numérique86.52%
Canucks
14-8-3, 31pts
4
FINAL
5 Barracuda
14-10-1, 29pts
Team Stats
SOL1SéquenceSOW1
6-5-1Fiche domicile8-3-1
8-3-2Fiche domicile6-7-0
7-2-1Derniers 10 matchs5-5-0
4.52Buts par match 4.04
3.84Buts contre par match 4.12
24.75%Pourcentage en avantage numérique15.09%
86.67%Pourcentage en désavantage numérique78.50%
Barracuda
14-10-1, 29pts
Jour 64
Little Stars
8-15-1, 17pts
Statistiques d’équipe
SOW1SéquenceL1
8-3-1Fiche domicile4-8-0
6-7-0Fiche visiteur4-7-1
5-5-010 derniers matchs3-6-1
4.04Buts par match 4.04
4.12Buts contre par match 4.04
15.09%Pourcentage en avantage numérique18.39%
78.50%Pourcentage en désavantage numérique80.23%
Senators
12-9-3, 27pts
Jour 65
Barracuda
14-10-1, 29pts
Statistiques d’équipe
W1SéquenceSOW1
5-7-0Fiche domicile8-3-1
7-2-3Fiche visiteur6-7-0
5-4-110 derniers matchs5-5-0
4.42Buts par match 4.04
4.33Buts contre par match 4.04
27.27%Pourcentage en avantage numérique15.09%
72.73%Pourcentage en désavantage numérique78.50%
Barracuda
14-10-1, 29pts
Jour 68
Firebirds
9-12-3, 21pts
Statistiques d’équipe
SOW1SéquenceW1
8-3-1Fiche domicile4-7-1
6-7-0Fiche visiteur5-5-2
5-5-010 derniers matchs4-6-0
4.04Buts par match 3.33
4.12Buts contre par match 3.33
15.09%Pourcentage en avantage numérique23.91%
78.50%Pourcentage en désavantage numérique79.61%
Meneurs d'équipe
Buts
Kurtis Macdermid
19
Passes
Emil Pettersson
24
Points
Emil Pettersson
38
Plus/Moins
Kurtis Macdermid
11
Victoires
Joni Ortio
13
Pourcentage d’arrêts
Joni Ortio
0.88

Statistiques d’équipe
Buts pour
101
4.04 GFG
Tirs pour
748
29.92 Avg
Pourcentage en avantage numérique
15.1%
16 GF
Début de zone offensive
35.9%
Buts contre
103
4.12 GAA
Tirs contre
828
33.12 Avg
Pourcentage en désavantage numérique
78.5%%
23 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralRoland Roberge
EntraîneurDale Hunter
DivisionThayer-Tutt
ConférenceRobert-Lebel
CapitaineWilliam Carrier
Assistant #1Emil Pettersson
Assistant #2Theodor Blueger


Informations de l’aréna

Capacité3,000
Assistance2,821
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 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
1Kurtis Macdermid (R)X100.008361797077658074607964796562584053730251850,000$
2William Carrier (R) (C)X100.008140797574718078728369707271573353730251980,000$
3Emil Pettersson (R) (A)X100.006728847274677773757675626970553153710251800,000$
4Cole Ully (R)X100.006537847266767473768473567052513753700241775,000$
5Theodor Blueger (R) (A)X100.007235827069707477647376626859533453700251800,000$
6Noah Gregor (R)X100.006633817667686969696978687144465643690211600,000$
7Alex Henriksson (R)X100.007032787163657370667570647352503453680241750,000$
8Kyle Platzer (R)X100.005139727147705875676867688047493253640241500,000$
9Thomas Gobeil (R)X100.006840696262627371706463556852502953630251700,000$
10Jaedon Descheneau (R)X100.004743696357686760716971445248502653610241550,000$
11Nikolai Kovalenko (R)X100.006239686670695964686256506742455953600201500,000$
12Alexei Toropchenko (R)X100.006229635563545858545972516743435553580201550,000$
13Brett Kulak (R)X100.007633787477807572627270787171523528730251800,000$
14Robin Norell (R)X100.007233857065756867437555856261513453710241750,000$
15Jordan Gross (R)X100.007128716764676964487168685349543153660241700,000$
16Luke Martin (R)X100.005629737262556680266958724445475553650212500,000$
17Alex Lintuniemi (R)X100.005835737058615874347157674745474242630231750,000$
18Dennis Cholowski (R)X100.006337835459707260357065605844445843620211575,000$
Rayé
1Jacob Peterson (R)X100.006235705672667068636676466443435520630201500,000$
2Beck Malenstyn (R)X100.005733635965596058705578345343434520580214550,000$
3Adam Edstrom (R)X100.006432606074567566476459524143416720580192500,000$
4Angus Crookshank (R)X100.005226677062616358544571456642446720570202500,000$
5Adam Beckman (R)X100.004835756558615861445366395440407320560182500,000$
6Mac Hollowell (R)X87.316845816564756459506959736050456137660211500,000$
7Bode Wilde (R)X100.007241635964664654335951584341416620590191500,000$
8Ryan Merkley (R)X100.006122705147545361375962484841416420550191500,000$
MOYENNE D’ÉQUIPE99.51643574666566676756686760615048474164
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
1Joni Ortio98.00687876777778748374706966622854750281900,000$
2Kevin Mandolese100.00694961737444495963426641415860580191500,000$
Rayé
1Filip Larsson (R)100.00656459605759596051615745466129570212500,000$
MOYENNE D’ÉQUIPE99.3367646570696061676358645150494863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter77816664436854Can684750,000$


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)C251424384604953100277014.00%1456622.66371019980114882052.44%8392113001.3422000062
2Kurtis MacdermidBarracuda (S.J)LW251917361140403484356422.62%2254321.75551018941015914050.00%52238001.3212000701
3Theodor BluegerBarracuda (S.J)C251717341120445176215322.37%1745118.0731411781121542147.74%28778011.5000000312
4William CarrierBarracuda (S.J)LW241220325160373079293515.19%643618.190225751011340054.84%31137011.4701000114
5Robin NorellBarracuda (S.J)D253111468035573911107.69%3965526.23123493000086000%0716100.4300000010
6Brett KulakBarracuda (S.J)D151121302201932218144.76%2340426.94033569011250000%0138000.6400000001
7Jordan GrossBarracuda (S.J)D2501212460272724480%2246618.64011151000054000%0714000.5100000000
8Cole UllyBarracuda (S.J)LW258311-820212165192412.31%929311.75000040000131042.86%14134000.7500000010
9Thomas GobeilBarracuda (S.J)RW255611-148034243051616.67%1246818.73112896000001050.00%2858000.4700000010
10Noah GregorBarracuda (S.J)C256410-1160353754142811.11%628511.4100003000071046.46%127134000.7000000002
11Alex HenrikssonBarracuda (S.J)LW25279-56022254712264.26%42419.67000030000300070.00%1062000.7400000000
12Mac HollowellBarracuda (S.J)D1708841601927115130%1941724.56022257000055000%009000.3800000000
13Luke MartinBarracuda (S.J)D2526851401925269117.69%2045718.31022252000047000%0316000.3500000000
14Jaedon DescheneauBarracuda (S.J)RW25347918020201841516.67%538015.23224477000000052.63%1926000.3700000001
15Kyle PlatzerBarracuda (S.J)C2533604013203092410.00%32058.23000000000181048.98%4943000.5800000000
16Logan StanleySharksD6145-24091211279.09%1516627.77112435000126000%014000.6000000000
17Alex LintuniemiBarracuda (S.J)D19123-740151398511.11%1023612.4700002000017000%016000.2500000000
18Alexei ToropchenkoBarracuda (S.J)RW25213-2801511106320.00%31897.5800014000000166.67%301000.3200000001
19Nikolai KovalenkoBarracuda (S.J)RW25033-1116028107470%527010.8000000000000063.64%1112000.2200000000
20Dennis CholowskiBarracuda (S.J)D18011-7408157610%520611.460000000002000%003000.1000000000
21Jacob PetersonBarracuda (S.J)C1000000000000%033.13000000000000100.00%20000000000000
22Ryan MerkleyBarracuda (S.J)D1000100000000%044.020000000000000%00000000000000
23Bode WildeBarracuda (S.J)D1000100100000%044.550000000000000%00100000000000
24Beck MalenstynBarracuda (S.J)LW1000000000000%022.620000000000000%00000000000000
25Adam EdstromBarracuda (S.J)C1000000000000%011.900000000001000%00000000000000
26Angus CrookshankBarracuda (S.J)LW2000000000010%073.730000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne456991652647214051054474823843513.24%259736816.16162945848993361468212251.02%1472140143120.7235000111114
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
1Joni OrtioBarracuda (S.J)2313910.8803.8413430086716347000.8336230100
2Kevin MandoleseBarracuda (S.J)31000.8505.2910200960360000221000
3Filip LarssonBarracuda (S.J)20100.8466.96690085232000004000
Statistiques d’équipe totales ou en moyenne28141010.8764.081515001038284150062525100


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BeckmanBarracuda (S.J)LW182001-01-01Yes183 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Adam EdstromBarracuda (S.J)C192000-01-01Yes234 Lbs6 ft7NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Alex HenrikssonBarracuda (S.J)LW241995-01-01Yes185 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Alex LintuniemiBarracuda (S.J)D231996-01-01Yes214 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Alexei ToropchenkoBarracuda (S.J)RW201999-01-01Yes222 Lbs6 ft6NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Angus CrookshankBarracuda (S.J)LW201999-01-01Yes181 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Beck MalenstynBarracuda (S.J)LW211998-01-01Yes194 Lbs6 ft2NoNoFree AgentNoNo42024-10-11FalseFalsePro & Farm550,000$383,911$0$0$No550,000$550,000$550,000$------NoNoNo------
Bode WildeBarracuda (S.J)D192000-01-01Yes195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Brett KulakBarracuda (S.J)D251994-01-01Yes181 Lbs6 ft1NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Cole UllyBarracuda (S.J)LW241995-01-01Yes185 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm775,000$540,965$0$0$No------------------
Dennis CholowskiBarracuda (S.J)D211998-01-01Yes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm575,000$401,361$0$0$No------------------
Emil PetterssonBarracuda (S.J)C251994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Filip LarssonBarracuda (S.J)G211998-01-01Yes185 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Jacob PetersonBarracuda (S.J)C201999-01-01Yes180 Lbs6 ft1NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Jaedon DescheneauBarracuda (S.J)RW241995-01-01Yes192 Lbs5 ft9NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Joni OrtioBarracuda (S.J)G281991-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Jordan GrossBarracuda (S.J)D241995-01-01Yes190 Lbs5 ft10NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Kevin MandoleseBarracuda (S.J)G192000-01-01No180 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Kurtis MacdermidBarracuda (S.J)LW251994-01-01Yes233 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm850,000$593,317$0$0$No------------------
Kyle PlatzerBarracuda (S.J)C241995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Luke MartinBarracuda (S.J)D211998-01-01Yes218 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Mac Hollowell (sur la masse salariale)Barracuda (S.J)D211998-01-01Yes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$Yes------------------
Nikolai KovalenkoBarracuda (S.J)RW201999-01-01Yes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Noah GregorBarracuda (S.J)C211998-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Robin NorellBarracuda (S.J)D241995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Ryan MerkleyBarracuda (S.J)D192000-01-01Yes186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Theodor BluegerBarracuda (S.J)C251994-01-01Yes171 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Thomas GobeilBarracuda (S.J)RW251994-01-01Yes185 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm700,000$488,614$0$0$No------------------
William CarrierBarracuda (S.J)LW251994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm980,000$684,059$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.24192 Lbs6 ft11.28633,793$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonThomas Gobeil40023
2Kurtis MacdermidTheodor BluegerJaedon Descheneau30023
3Cole UllyNoah GregorNikolai Kovalenko20122
4Alex HenrikssonKyle PlatzerAlexei Toropchenko10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakRobin Norell40122
2Jordan GrossLuke Martin30122
3Alex LintuniemiDennis Cholowski20131
4Brett KulakRobin Norell10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonThomas Gobeil60023
2Kurtis MacdermidTheodor BluegerJaedon Descheneau40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakRobin Norell60023
2Jordan GrossLuke Martin40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonKurtis Macdermid60140
2Theodor BluegerCole Ully40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakRobin Norell60140
2Jordan GrossLuke Martin40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Pettersson60140Brett KulakRobin Norell60140
2Theodor Blueger40140Jordan GrossLuke Martin40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonWilliam Carrier60122
2Theodor BluegerKurtis Macdermid40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakRobin Norell60122
2Jordan GrossLuke Martin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonThomas GobeilBrett KulakRobin Norell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonThomas GobeilBrett KulakRobin Norell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Gregor, Alex Henriksson, Kyle PlatzerNoah Gregor, Alex HenrikssonNoah Gregor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Martin, Alex Lintuniemi, Dennis CholowskiLuke MartinLuke Martin, Alex Lintuniemi
Tirs de pénalité
Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger, Noah Gregor
Gardien
#1 : Joni Ortio, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger, Noah Gregor, Alex Henriksson, Alex Henriksson, Kyle Platzer, Thomas Gobeil, Jaedon Descheneau, Nikolai Kovalenko
Lignes de défense personnalisées en prolongation
Brett Kulak, Robin Norell, Jordan Gross, Luke Martin, Alex Lintuniemi


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
1Admirals20200000814-61010000035-21010000059-400.000813210030323466422525625418771816331119.09%8362.50%025152447.90%28054651.28%22038856.70%514281551241451223
2Americans1010000034-1000000000001010000034-100.0003470030323463022525625418325415500.00%20100.00%025152447.90%28054651.28%22038856.70%514281551241451223
3Canucks10000010541100000105410000000000021.000571200303234638225256254183484245240.00%20100.00%025152447.90%28054651.28%22038856.70%514281551241451223
4Checkers1010000036-3000000000001010000036-300.0003580030323463522525625418327621300.00%3166.67%025152447.90%28054651.28%22038856.70%514281551241451223
5Condors41101100151502100010010912010100056-150.625152540003032346121225256254181373546881700.00%23386.96%125152447.90%28054651.28%22038856.70%514281551241451223
6Eagles1010000037-41010000037-40000000000000.00035800303234636225256254183910419100.00%20100.00%025152447.90%28054651.28%22038856.70%514281551241451223
7Griffins412000101416-231100010121111010000025-340.500142135003032346992252562541814247447218422.22%22768.18%025152447.90%28054651.28%22038856.70%514281551241451223
8Gulls32001000151051000100054122000000106461.000152540003032346108225256254189737166312433.33%80100.00%125152447.90%28054651.28%22038856.70%514281551241451223
9Marlies21001000945110000005141000100043141.000916250030323466622525625418402218368225.00%9188.89%025152447.90%28054651.28%22038856.70%514281551241451223
10Moose3210000013103110000004222110000098140.667132134003032346752252562541810043326716212.50%16662.50%025152447.90%28054651.28%22038856.70%514281551241451223
11Phantoms1010000027-5000000000001010000027-500.0002460030323462422525625418297831100.00%4175.00%025152447.90%28054651.28%22038856.70%514281551241451223
12Punishers220000001165110000005321100000063341.0001119300030323465222525625418692016419111.11%8187.50%125152447.90%28054651.28%22038856.70%514281551241451223
Total2591003120101103-2125301120524661347020004957-8290.580101165266003032346748225256254188282592145101061615.09%1072378.50%325152447.90%28054651.28%22038856.70%514281551241451223
_Since Last GM Reset2591003120101103-2125301120524661347020004957-8290.580101165266003032346748225256254188282592145101061615.09%1072378.50%325152447.90%28054651.28%22038856.70%514281551241451223
_Vs Conference2078031107980-194201110393271136020004048-8230.5757912920800303234658722525625418654214184405881314.77%922177.17%225152447.90%28054651.28%22038856.70%514281551241451223
_Vs Division1464021105751673101110312657330100026251190.679579214900303234640322525625418476162138290631015.87%691676.81%225152447.90%28054651.28%22038856.70%514281551241451223

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2529SOW110116526674882825921451000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
259103120101103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
125311205246
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
134720004957
Derniers 10 matchs
WLOTWOTL SOWSOL
351010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1061615.09%1072378.50%3
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
225256254183032346
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
25152447.90%28054651.28%22038856.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
514281551241451223


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
14Barracuda6Gulls4WSommaire du match
519Gulls4Barracuda5WXSommaire du match
731Barracuda2Griffins5LR1Sommaire du match
839Barracuda7Moose5WSommaire du match
1049Moose2Barracuda4WSommaire du match
1363Barracuda2Condors4LR1Sommaire du match
1675Condors5Barracuda4LXSommaire du match
1994Marlies1Barracuda5WSommaire du match
21106Barracuda4Gulls2WSommaire du match
24120Griffins6Barracuda7WXXR1Sommaire du match
27138Barracuda3Condors2WXSommaire du match
29147Admirals5Barracuda3LSommaire du match
31161Barracuda3Americans4LSommaire du match
33172Condors4Barracuda6WR1Sommaire du match
35180Barracuda5Admirals9LSommaire du match
38195Barracuda2Phantoms7LSommaire du match
40205Griffins4Barracuda2LR1Sommaire du match
44223Punishers3Barracuda5WSommaire du match
46231Barracuda2Moose3LSommaire du match
49244Barracuda6Punishers3WSommaire du match
50256Griffins1Barracuda3WR1Sommaire du match
54275Barracuda4Marlies3WXSommaire du match
55283Eagles7Barracuda3LSommaire du match
59297Barracuda3Checkers6LSommaire du match
61308Canucks4Barracuda5WXXSommaire du match
64326Barracuda-Little Stars-
65331Senators-Barracuda-
68349Barracuda-Firebirds-
70357Barracuda-Wolfpack-
71363Icehogs-Barracuda-
74382Barracuda-Moose-
76387Crunch-Barracuda-
80411Penguins-Barracuda-
82420Barracuda-Penguins-
85436Phantoms-Barracuda-
88454Barracuda-Americans-
90461Rockets-Barracuda-
93476Barracuda-Phantoms-
94486Bears-Barracuda-
98504Barracuda-Crunch-
100511Wolfpack-Barracuda-
102517Barracuda-Thunderbirds-
105535Barracuda-Admirals-
106543Little Stars-Barracuda-
109556Barracuda-Wranglers-
111568Rockets-Barracuda-
114584Barracuda-Condors-
116594Barracuda-Islander-
117598Condors-Barracuda-
120617Barracuda-Comets-
121623Gulls-Barracuda-
124632Barracuda-Eagles-
126647Gulls-Barracuda-
131673Bears-Barracuda-
134694Firebirds-Barracuda-
136707Barracuda-Senators-
138716Barracuda-Canucks-
139725Americans-Barracuda-
142736Barracuda-Gulls-
144751Comets-Barracuda-
145761Barracuda-Eagles-
148774Barracuda-Rockets-
149780Checkers-Barracuda-
153803Americans-Barracuda-
158825Marlies-Barracuda-
160839Barracuda-Griffins-
162851Thunderbirds-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165864Barracuda-Griffins-
168880Islander-Barracuda-
172899Marlies-Barracuda-
174912Barracuda-Bears-
176922Barracuda-Senators-
177926Barracuda-Icehogs-
178934Wranglers-Barracuda-
183957Wranglers-Barracuda-
185972Barracuda-Gulls-
189985Moose-Barracuda-
191996Barracuda-Icehogs-
1941012Moose-Barracuda-
1991034Admirals-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance22,67611,172
Assistance PCT94.48%93.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2821 - 94.02% 177,993$2,135,910$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
783,469$ 1,838,000$ 1,838,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,851$ 554,992$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,983,790$ 141 12,812$ 1,806,492$




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