Connexion

Barracuda
GP: 67 | W: 30 | L: 31 | OTL: 6 | P: 66
GF: 189 | GA: 216 | PP%: 17.79% | PK%: 78.97%
DG: Chris Brassard | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #1029 vs Oil Kings
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Barracuda
30-31-6, 66pts
5
FINAL
4 Heat
41-24-1, 83pts
Team Stats
OTW1SéquenceW1
21-12-1Fiche domicile23-11-0
9-19-5Fiche domicile18-13-1
6-3-1Derniers 10 matchs3-7-0
2.82Buts par match 3.89
3.22Buts contre par match 3.18
17.79%Pourcentage en avantage numérique23.84%
78.97%Pourcentage en désavantage numérique77.40%
Ice Hogs
32-28-6, 70pts
2
FINAL
3 Barracuda
30-31-6, 66pts
Team Stats
OTL1SéquenceOTW1
19-12-3Fiche domicile21-12-1
13-16-3Fiche domicile9-19-5
5-4-1Derniers 10 matchs6-3-1
3.47Buts par match 2.82
3.47Buts contre par match 3.22
18.25%Pourcentage en avantage numérique17.79%
80.24%Pourcentage en désavantage numérique78.97%
Barracuda
30-31-6, 66pts
Jour 194
Oil Kings
37-22-8, 82pts
Statistiques d’équipe
OTW1SéquenceOTL1
21-12-1Fiche domicile19-9-6
9-19-5Fiche visiteur18-13-2
6-3-110 derniers matchs5-2-3
2.82Buts par match 3.34
3.22Buts contre par match 3.34
17.79%Pourcentage en avantage numérique24.23%
78.97%Pourcentage en désavantage numérique78.73%
Gulls
37-20-9, 83pts
Jour 195
Barracuda
30-31-6, 66pts
Statistiques d’équipe
OTW1SéquenceOTW1
21-10-3Fiche domicile21-12-1
16-10-6Fiche visiteur9-19-5
5-4-110 derniers matchs6-3-1
3.20Buts par match 2.82
2.80Buts contre par match 2.82
23.42%Pourcentage en avantage numérique17.79%
81.89%Pourcentage en désavantage numérique78.97%
Barracuda
30-31-6, 66pts
Jour 200
Americans
33-30-4, 70pts
Statistiques d’équipe
OTW1SéquenceOTW1
21-12-1Fiche domicile18-15-1
9-19-5Fiche visiteur15-15-3
6-3-110 derniers matchs4-6-0
2.82Buts par match 2.87
3.22Buts contre par match 2.87
17.79%Pourcentage en avantage numérique15.93%
78.97%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Justin DowlingButs
Justin Dowling
24
Robert HaggPasses
Robert Hagg
38
Alex LimogesPoints
Alex Limoges
54
Matt KierstedPlus/Moins
Matt Kiersted
5
Zane McIntyreVictoires
Zane McIntyre
21
Pourcentage d’arrêts
Devin Cooley
0.913

Statistiques d’équipe
Buts pour
189
2.82 GFG
Tirs pour
1867
27.87 Avg
Pourcentage en avantage numérique
17.8%
50 GF
Début de zone offensive
39.6%
Buts contre
216
3.22 GAA
Tirs contre
2035
30.37 Avg
Pourcentage en désavantage numérique
79.0%%
53 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralChris Brassard
EntraîneurTroy Mann
DivisionPacific
ConférenceAmerican
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,127
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 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
1Justin DowlingX100.00585275596263626168635963547062050620331750,000$
2Alex Limoges (R)X100.00545767616566646255606261546257050610261800,000$
3Ryan Schmelzer (R)X100.00555665606367655970595761546961050600301750,000$
4Oskar Steen (R)XX100.00555766616065635969575962546056050600261750,000$
5Anthony Angello (R)X100.00565563587065645855565858556358050590281800,000$
6Joseph LabateX100.00575760587064645755565761546961050590311750,000$
7Josiah Slavin (R)X100.00545667576466645755565859546056041590251750,000$
8Jimmy Huntington (R)X100.00565564586564635970585762546056050590251800,000$
9Mason JobstX100.00555566585865635970585860586760050590301800,000$
10C.J. SmithX100.00545768596060595755565859546760050580293800,000$
11Bryce Kindopp (R)X100.00545466586367645655565758545855050580241750,000$
12Alex KileX100.00555467556458575555545560546760050570291750,000$
13Robert HaggX100.007747765982737757407159835465590506802922,000,000$
14Alexander Alexeyev (R)X100.006446806875716256406655805455560506602411,200,000$
15Matt Kiersted (R)X100.00575169606263625740605665545956050600251750,000$
16Dmitry Osipov (R)X100.00575562557464635455545558546358050580271800,000$
17Artemi Kniazev (R)X100.005738805463665348385650635151550505602311,000,000$
18Santeri Hatakka (R)X100.00545467556357575540555460545553050560231750,000$
Rayé
1Dylan McLaughlinX100.00545568566158575670565561556559050570271750,000$
2Griffin Mendel (R)X100.00555567577364635640555659545855050580251750,000$
MOYENNE D’ÉQUIPE100.0057536858666462575558576354625805060
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
1Zane McIntyre100.0061646566676167645960597363050640311750,000$
2Devin Cooley (R)100.0059616175665566615958596256050620262750,000$
Rayé
MOYENNE D’ÉQUIPE100.006063637167586763595959686005063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Troy Mann64636963625750CAN532250,000$


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
1Alex LimogesBarracuda (SJS)C67183654-8160841901734214010.40%9137020.45317203623410131292143.35%163800000.7911000441
2Justin DowlingBarracuda (SJS)C672426504120992611613610714.91%17141421.1178153723531442227252.55%199800000.7113000432
3Alexander AlexeyevBarracuda (SJS)D67123345-221806014612345859.76%101161024.0471219782430001201010%000000.5600000103
4Robert HaggBarracuda (SJS)D6773845-1582019316113944695.04%102158923.7341216902460111171000%000100.5700000222
5Matt KierstedBarracuda (SJS)D67132639538012896129287010.08%78138420.6761016782270221172200%000000.5600000015
6Anthony AngelloBarracuda (SJS)RW67132033-5420130721265110610.32%9113216.90371022141000012142.47%7300000.5800000511
7C.J. SmithBarracuda (SJS)LW67111930-33810867411436939.65%8134920.144482422901111243044.83%8700000.4400002001
8Kirill MarchenkoSharksRW45151530-22008564142399310.56%481418.11561132171000002035.94%6400110.7423000313
9Ryan SchmelzerBarracuda (SJS)C67141529-1932075179133289710.53%10105515.761125230000501153.00%111500000.5501000120
10Dmitry OsipovBarracuda (SJS)D67617234600155406321359.52%94139520.825510362260111180010%000000.3300000221
11Kiefer SherwoodSharksRW26131023-3135654366306319.70%447118.1545915100000001252.50%4000200.9711100126
12Santeri HatakkaBarracuda (SJS)D6741822-123201266539162710.26%58100415.00000414000017110%000000.4400000001
13Oskar SteenBarracuda (SJS)C/RW67912211180405685225610.59%369110.3201117800001512251.02%34300000.6100000110
14Alex KileBarracuda (SJS)LW6781220-25260597910930687.34%7104515.610112100003572142.65%6800000.3800000020
15Artemi KniazevBarracuda (SJS)D6761016-10400906735112517.14%62107516.06000424022086100%000000.3000000023
16Joseph LabateBarracuda (SJS)LW4058132421084397511526.67%589122.280001712910141240050.70%7100000.2900011010
17Josiah SlavinBarracuda (SJS)LW465813180332837103313.51%862713.650113950112761144.19%4300000.4100000201
18Bryce KindoppBarracuda (SJS)RW673710-2022056659925703.03%473711.0100018000001052.78%3600000.2700000000
19Mason JobstBarracuda (SJS)C69224-5801440346185.88%12673.8700000000000055.15%27200000.3000000000
20Milan LucicSharksLW130110801412193180%115812.2200003000000033.33%900000.1300000000
21Jimmy HuntingtonBarracuda (SJS)C67000-100010100%090.1400000000020033.33%30000000000000
Statistiques d’équipe totales ou en moyenne1244188333521-1335752516761778190153513259.89%5852009816.16499013950124505914221672281449.44%586000410.5259113262430
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
1Zane McIntyreBarracuda (SJS)44211630.9012.8723220011111260230.57174027260
2Devin CooleyBarracuda (SJS)70100.9133.92199001314900000040000
Statistiques d’équipe totales ou en moyenne51211730.9032.95252200124127502374067260


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 Type Salaire actuel Plafond 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
Alex KileBarracuda (SJS)LW297/9/1994No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Alex LimogesBarracuda (SJS)C269/16/1997Yes201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien NHL
Alexander AlexeyevBarracuda (SJS)D2411/15/1999Yes213 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien NHL
Anthony AngelloBarracuda (SJS)RW283/6/1996Yes197 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien NHL
Artemi KniazevBarracuda (SJS)D231/4/2001Yes178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien NHL
Bryce KindoppBarracuda (SJS)RW246/14/1999Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
C.J. SmithBarracuda (SJS)LW2912/1/1994No181 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------Lien NHL
Devin CooleyBarracuda (SJS)G265/25/1997Yes192 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Dmitry OsipovBarracuda (SJS)D2710/4/1996Yes230 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien NHL
Dylan McLaughlinBarracuda (SJS)C276/5/1996No187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Griffin MendelBarracuda (SJS)D252/18/1999Yes220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Jimmy HuntingtonBarracuda (SJS)C2511/18/1998Yes204 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien NHL
Joseph LabateBarracuda (SJS)LW314/16/1993No210 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Josiah SlavinBarracuda (SJS)LW2512/31/1998Yes189 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Justin DowlingBarracuda (SJS)C3310/1/1990No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Mason JobstBarracuda (SJS)C302/17/1994No185 Lbs5 ft9NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien NHL
Matt KierstedBarracuda (SJS)D254/18/1998Yes181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Oskar SteenBarracuda (SJS)C/RW263/9/1998Yes192 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Robert HaggBarracuda (SJS)D292/8/1995No204 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien NHL
Ryan SchmelzerBarracuda (SJS)C307/28/1993Yes188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Santeri HatakkaBarracuda (SJS)D231/15/2001Yes191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Zane McIntyreBarracuda (SJS)G318/20/1992No206 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.09196 Lbs6 ft11.18852,273$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph LabateJustin DowlingOskar Steen40122
2C.J. SmithAlex LimogesAnthony Angello30122
3Alex KileRyan SchmelzerBryce Kindopp20122
4Joseph LabateOskar SteenJustin Dowling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggAlexander Alexeyev40122
2Matt KierstedDmitry Osipov30122
3Artemi KniazevSanteri Hatakka20122
4Robert HaggAlexander Alexeyev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph LabateJustin DowlingOskar Steen60122
2C.J. SmithAlex LimogesAnthony Angello40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggAlexander Alexeyev60122
2Matt KierstedDmitry Osipov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin DowlingJoseph Labate60122
2Alex LimogesC.J. Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggAlexander Alexeyev60122
2Matt KierstedDmitry Osipov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Dowling60122Robert HaggAlexander Alexeyev60122
2Alex Limoges40122Matt KierstedDmitry Osipov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin DowlingJoseph Labate60122
2Alex LimogesC.J. Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggAlexander Alexeyev60122
2Matt KierstedDmitry Osipov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph LabateJustin DowlingAlex LimogesRobert HaggAlexander Alexeyev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph LabateJustin DowlingAlex LimogesRobert HaggAlexander Alexeyev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Steen, Anthony Angello, Joseph LabateOskar Steen, Anthony AngelloOskar Steen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Osipov, Artemi Kniazev, Santeri HatakkaDmitry OsipovDmitry Osipov, Artemi Kniazev
Tirs de pénalité
Joseph Labate, Justin Dowling, Alex Limoges, Ryan Schmelzer, Oskar Steen
Gardien
#1 : Zane McIntyre, #2 : Devin Cooley
Lignes d’attaque personnalisées en prolongation
C.J. Smith, Justin Dowling, Alex Limoges, Ryan Schmelzer, Oskar Steen, Anthony Angello, Anthony Angello, Joseph Labate, Jimmy Huntington, Mason Jobst, Bryce Kindopp
Lignes de défense personnalisées en prolongation
Robert Hagg, Alexander Alexeyev, Matt Kiersted, Dmitry Osipov, Artemi Kniazev


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
1Aces21001000532210010005320000000000041.000591400666353105461960661338571518499222.22%9188.89%01089219749.57%1135227149.98%522107548.56%155710341593534900449
2Admirals4210000112120110000006333110000169-350.625122133006663531013161960661338118343711118316.67%15473.33%11089219749.57%1135227149.98%522107548.56%155710341593534900449
3Bruins1010000025-31010000025-30000000000000.0002350066635310246196066133843152025100.00%10370.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
4Crunch1010000035-21010000035-20000000000000.00036910666353102861960661338261010263133.33%4175.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
5Devils1010000025-31010000025-30000000000000.00023500666353103261960661338256624600.00%3166.67%01089219749.57%1135227149.98%522107548.56%155710341593534900449
6Falcons1010000013-2000000000001010000013-200.000123006663531027619606613382713830800.00%4175.00%11089219749.57%1135227149.98%522107548.56%155710341593534900449
7Griffins32000100963220000006241000010034-150.83391625006663531088619606613389621327215213.33%16193.75%01089219749.57%1135227149.98%522107548.56%155710341593534900449
8Gulls2020000037-41010000023-11010000014-300.00035800666353104661960661338481316391300.00%7442.86%01089219749.57%1135227149.98%522107548.56%155710341593534900449
9Heat624000001623-731200000711-431200000912-340.333163147006663531015261960661338173564217826934.62%21576.19%01089219749.57%1135227149.98%522107548.56%155710341593534900449
10Ice Hogs30102000880200020006421010000024-240.667812201066635310826196066133811434478010110.00%16287.50%01089219749.57%1135227149.98%522107548.56%155710341593534900449
11Marlies833010102120141200010911-2421010001293100.625213758006663531020561960661338200644816238410.53%23386.96%01089219749.57%1135227149.98%522107548.56%155710341593534900449
12Monsters5120011014140311000109722010010057-250.500142539006663531015961960661338134332413224625.00%10370.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
13Moose421001001112-1220000009542010010027-550.625111930006663531010061960661338155464199600.00%18383.33%01089219749.57%1135227149.98%522107548.56%155710341593534900449
14Penguins11000000422110000004220000000000021.0004812006663531027619606613382874305360.00%20100.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
15Phantoms2110000010100110000006421010000046-220.50010172700666353104961960661338701018607571.43%8362.50%01089219749.57%1135227149.98%522107548.56%155710341593534900449
16Rampage30200100512-71010000002-220100100510-510.16758130066635310866196066133811220246012325.00%12375.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
17Reign522001001720-32100010087131200000913-450.500173047006663531015061960661338168513911218527.78%16381.25%01089219749.57%1135227149.98%522107548.56%155710341593534900449
18Rocket10001000431100010004310000000000021.000471100666353103161960661338277722400.00%10100.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
19Senators1010000013-2000000000001010000013-200.0001231066635310196196066133839101222500.00%60100.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
20Sound Tigers21100000862000000000002110000086220.5008142200666353105561960661338542014476350.00%60100.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
21Swamp Rabbits1010000001-1000000000001010000001-100.00000000666353102161960661338286627500.00%30100.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
22Thunderbirds1010000034-1000000000001010000034-100.0003580066635310296196066133829131023300.00%4250.00%01089219749.57%1135227149.98%522107548.56%155710341593534900449
23Wheat Kings31200000913-421100000910-11010000003-320.3339152400666353101036196066133810830287418211.11%13284.62%01089219749.57%1135227149.98%522107548.56%155710341593534900449
24Wild32100000101002110000056-11100000054140.66710162600666353108661960661338712522761516.67%10460.00%11089219749.57%1135227149.98%522107548.56%155710341593534900449
25Wolves321000001192110000004312110000076140.6671121320066635310836196066133885263277600.00%15473.33%21089219749.57%1135227149.98%522107548.56%155710341593534900449
Total67233105521189216-27341512041201061015338190140183115-32660.4931893325213066635310186761960661338203558556516572815017.79%2525378.97%51089219749.57%1135227149.98%522107548.56%155710341593534900449
_Since Last GM Reset67233105521189216-27341512041201061015338190140183115-32660.4931893325213066635310186761960661338203558556516572815017.79%2525378.97%51089219749.57%1135227149.98%522107548.56%155710341593534900449
_Vs Conference54202204521151169-1828139031208577826713014016692-26580.5371512654161066635310152561960661338163946845013212283816.67%2014279.10%41089219749.57%1135227149.98%522107548.56%155710341593534900449
_Vs Division19815013205265-1310470012031292948012002136-15250.6585294146006663531050261960661338601181156477721622.22%711677.46%01089219749.57%1135227149.98%522107548.56%155710341593534900449

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6766OTW118933252118672035585565165730
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6723315521189216
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3415124120106101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
33819140183115
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2815017.79%2525378.97%5
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
6196066133866635310
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
1089219749.57%1135227149.98%522107548.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155710341593534900449


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
311Reign4Barracuda3BLXSommaire du match
521Barracuda5Marlies3AWSommaire du match
941Barracuda3Reign4ALSommaire du match
1150Marlies1Barracuda2BWXXSommaire du match
1571Reign3Barracuda5BWSommaire du match
1895Barracuda3Heat5ALSommaire du match
20100Marlies3Barracuda2BLSommaire du match
24122Barracuda1Gulls4ALSommaire du match
25132Rampage2Barracuda0BLSommaire du match
28145Barracuda2Marlies1AWXSommaire du match
32163Heat4Barracuda2BLSommaire du match
36185Barracuda4Monsters5ALXSommaire du match
37193Monsters3Barracuda2BLSommaire du match
38196Barracuda3Rampage4ALXSommaire du match
44221Gulls3Barracuda2BLSommaire du match
48238Barracuda3Wolves1AWSommaire du match
50250Ice Hogs2Barracuda3BWXSommaire du match
52259Barracuda5Wild4AWSommaire du match
58286Wheat Kings4Barracuda6BWSommaire du match
62306Barracuda1Falcons3ALSommaire du match
63316Heat5Barracuda2BLSommaire du match
67335Marlies1Barracuda3BWSommaire du match
69350Barracuda0Admirals3ALSommaire du match
73368Bruins5Barracuda2BLSommaire du match
77390Barracuda4Wolves5ALSommaire du match
78400Admirals3Barracuda6BWSommaire du match
82424Wild5Barracuda2BLSommaire du match
84437Barracuda0Wheat Kings3ALSommaire du match
89456Rocket3Barracuda4BWXSommaire du match
93480Wheat Kings6Barracuda3BLSommaire du match
95487Barracuda2Ice Hogs4ALSommaire du match
97497Barracuda5Marlies3AWSommaire du match
99508Barracuda4Admirals3AWSommaire du match
101518Griffins1Barracuda2BWSommaire du match
105540Barracuda0Swamp Rabbits1ALSommaire du match
106549Wolves3Barracuda4BWSommaire du match
109562Barracuda2Admirals3ALXXSommaire du match
112578Devils5Barracuda2BLSommaire du match
115596Barracuda4Sound Tigers5ALSommaire du match
117608Monsters3Barracuda4BWXXSommaire du match
120625Barracuda4Sound Tigers1AWSommaire du match
122639Penguins2Barracuda4BWSommaire du match
125657Barracuda1Monsters2ALSommaire du match
127668Barracuda0Marlies2ALSommaire du match
128672Phantoms4Barracuda6BWSommaire du match
131684Barracuda3Griffins4ALXSommaire du match
134703Monsters1Barracuda3BWSommaire du match
136712Barracuda1Senators3ALSommaire du match
139724Barracuda4Phantoms6ALSommaire du match
141737Griffins1Barracuda4BWSommaire du match
145762Heat2Barracuda3BWSommaire du match
148781Barracuda3Thunderbirds4ALSommaire du match
151792Crunch5Barracuda3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155816Barracuda2Rampage6ALSommaire du match
157824Aces2Barracuda3BWXSommaire du match
160843Barracuda1Moose5ALSommaire du match
162853Wild1Barracuda3BWSommaire du match
166875Barracuda1Moose2ALXSommaire du match
168882Barracuda1Heat3ALSommaire du match
169889Marlies6Barracuda2BLSommaire du match
173912Barracuda3Reign1AWSommaire du match
174916Aces1Barracuda2BWSommaire du match
179941Barracuda3Reign8ALSommaire du match
180948Moose4Barracuda5BWSommaire du match
185973Moose1Barracuda4BWSommaire du match
188996Barracuda5Heat4AWSommaire du match
1891003Ice Hogs2Barracuda3BWXSommaire du match
1941029Barracuda-Oil Kings-
1951035Gulls-Barracuda-
2001058Barracuda-Americans-
2011065Reign-Barracuda-
2041087Barracuda-Gulls-
2061093Wolfpack-Barracuda-
2081106Barracuda-Monsters-
2111119Barracuda-Gulls-
2131129Rampage-Barracuda-
2151133Barracuda-Rampage-
2191157Rampage-Barracuda-
2231178Reign-Barracuda-
2271199Barracuda-Aces-
2301211Ice Hogs-Barracuda-
2321228Barracuda-Bears-
2361243Gulls-Barracuda-
2371245Barracuda-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200100
Assistance48,66023,656
Assistance PCT71.56%69.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2127 - 70.90% 493,478$16,778,240$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,918,640$ 2,550,000$ 2,550,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,581$ 1,720,573$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,947,821$ 50 11,618$ 580,900$




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