Connexion

Barracuda
GP: 60 | W: 24 | L: 30 | OTL: 6 | P: 54
GF: 164 | GA: 195 | PP%: 17.62% | PK%: 78.13%
DG: Chris Brassard | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #912 vs Reign
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Centre de jeu
Barracuda
24-30-6, 54pts
1
FINAL
3 Heat
40-19-1, 81pts
Team Stats
L2SéquenceW2
17-12-1Fiche domicile23-8-0
7-18-5Fiche domicile17-11-1
3-6-1Derniers 10 matchs6-3-1
2.73Buts par match 3.97
3.25Buts contre par match 3.05
17.62%Pourcentage en avantage numérique24.54%
78.13%Pourcentage en désavantage numérique77.61%
Marlies
35-15-8, 78pts
6
FINAL
2 Barracuda
24-30-6, 54pts
Team Stats
OTL1SéquenceL2
17-9-5Fiche domicile17-12-1
18-6-3Fiche domicile7-18-5
6-2-2Derniers 10 matchs3-6-1
3.10Buts par match 2.73
2.64Buts contre par match 3.25
18.18%Pourcentage en avantage numérique17.62%
84.23%Pourcentage en désavantage numérique78.13%
Barracuda
24-30-6, 54pts
Jour 173
Reign
28-22-9, 65pts
Statistiques d’équipe
L2SéquenceOTL1
17-12-1Fiche domicile15-9-6
7-18-5Fiche visiteur13-13-3
3-6-110 derniers matchs3-4-3
2.73Buts par match 3.10
3.25Buts contre par match 3.10
17.62%Pourcentage en avantage numérique17.14%
78.13%Pourcentage en désavantage numérique77.31%
Aces
29-27-9, 67pts
Jour 174
Barracuda
24-30-6, 54pts
Statistiques d’équipe
W1SéquenceL2
14-9-7Fiche domicile17-12-1
15-18-2Fiche visiteur7-18-5
4-4-210 derniers matchs3-6-1
3.22Buts par match 2.73
3.42Buts contre par match 2.73
21.14%Pourcentage en avantage numérique17.62%
83.33%Pourcentage en désavantage numérique78.13%
Barracuda
24-30-6, 54pts
Jour 179
Reign
28-22-9, 65pts
Statistiques d’équipe
L2SéquenceOTL1
17-12-1Fiche domicile15-9-6
7-18-5Fiche visiteur13-13-3
3-6-110 derniers matchs3-4-3
2.73Buts par match 3.10
3.25Buts contre par match 3.10
17.62%Pourcentage en avantage numérique17.14%
78.13%Pourcentage en désavantage numérique77.31%
Meneurs d'équipe
Justin DowlingButs
Justin Dowling
20
Robert HaggPasses
Robert Hagg
35
Alex LimogesPoints
Alex Limoges
45
Justin DowlingPlus/Moins
Justin Dowling
3
Zane McIntyreVictoires
Zane McIntyre
15
Pourcentage d’arrêts
Devin Cooley
0.931

Statistiques d’équipe
Buts pour
164
2.73 GFG
Tirs pour
1666
27.77 Avg
Pourcentage en avantage numérique
17.6%
46 GF
Début de zone offensive
39.9%
Buts contre
195
3.25 GAA
Tirs contre
1816
30.27 Avg
Pourcentage en désavantage numérique
78.1%%
49 GA
Début de la zone défensive
40.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,121
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 LabateX100.00575760587064645755565761546961050590301750,000$
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)C60162945-11120721731553812110.32%7122620.45314173221710131172142.82%147600000.7311000430
2Justin DowlingBarracuda (SJS)C60202444312088232137329814.60%13125220.8778153122031441954252.29%176700000.7013000331
3Alexander AlexeyevBarracuda (SJS)D60122840-2414051131116427610.34%91144324.0571118742260001177010%000000.5500000103
4Robert HaggBarracuda (SJS)D6053540-1876017315013131623.82%91142223.7131215862300111149000%000100.5600000222
5Matt KierstedBarracuda (SJS)D6010243423601108511122649.01%69124320.7341014652110221150200%000000.5500000013
6Kirill MarchenkoSharksRW45151530-22008564142399310.56%481418.11561132171000002035.94%6400110.7423000313
7Anthony AngelloBarracuda (SJS)RW60101626-83801155911445898.77%899816.6335820123000012138.81%6700000.5200000411
8Ryan SchmelzerBarracuda (SJS)C60131225-2028065155111248611.71%994315.721124220000441152.67%99100000.5301000120
9C.J. SmithBarracuda (SJS)LW60101323-73610756610232789.80%6120420.084262321201111093046.25%8000000.3800002001
10Kiefer SherwoodSharksRW26131023-3135654366306319.70%447118.1545915100000001252.50%4000200.9711100126
11Dmitry OsipovBarracuda (SJS)D60415191520143375517317.27%85125320.89459342100111158000%000000.3000000120
12Alex KileBarracuda (SJS)LW6071118-2524051739428577.45%792515.42011190002441141.27%6300000.3900000010
13Santeri HatakkaBarracuda (SJS)D6011718-10320110623211233.13%5189614.94000413000013000%000000.4000000001
14Oskar SteenBarracuda (SJS)C/RW6061016112032506215399.68%25479.1301112650001391250.62%32400000.5800000100
15Artemi KniazevBarracuda (SJS)D606915-834082613392418.18%5396116.03000322022078100%000000.3100000023
16Josiah SlavinBarracuda (SJS)LW395813180332837103213.51%862115.930113950112751144.19%4300000.4200000201
17Joseph LabateBarracuda (SJS)LW335611219573316510367.69%375522.900001511510141070050.00%6400000.2900010010
18Bryce KindoppBarracuda (SJS)RW60358-2020054598523553.53%463310.5500008000001056.67%3000000.2500000000
19Mason JobstBarracuda (SJS)C62224-5801440336186.06%12664.3100000000000055.15%27200000.3000000000
20Milan LucicSharksLW130110801412193180%115812.2200003000000033.33%900000.1300000000
21Jimmy HuntingtonBarracuda (SJS)C60000000010100%070.1300000000020050.00%20000000000000
Statistiques d’équipe totales ou en moyenne1118163290453-1515022015051612170046811639.59%5171804816.14458212745422825914211465221249.07%529200410.5059112232125
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)37151530.8982.92193000949260230.57173327140
2Devin CooleyBarracuda (SJS)60100.9313.1817000913000000033000
Statistiques d’équipe totales ou en moyenne43151630.9022.94210000103105602373360140


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 ft5NoNoFree AgentNoNo212/31/2023Pro & 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)LW304/16/1993No210 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 ft9NoNoTrade1/1/2024NoNo1Pro & 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
2227.05196 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
1Aces10001000321100010003210000000000021.000358005954459235595335493429108233133.33%40100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
2Admirals4210000112120110000006333110000169-350.62512213300595445913155953354934118343711118316.67%15473.33%1973198748.97%1013203449.80%46095947.97%13909211432479807402
3Bruins1010000025-31010000025-30000000000000.000235005954459245595335493443152025100.00%10370.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
4Crunch1010000035-21010000035-20000000000000.0003691059544592855953354934261010263133.33%4175.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
5Devils1010000025-31010000025-30000000000000.0002350059544593255953354934256624600.00%3166.67%0973198748.97%1013203449.80%46095947.97%13909211432479807402
6Falcons1010000013-2000000000001010000013-200.00012300595445927559533549342713830800.00%4175.00%1973198748.97%1013203449.80%46095947.97%13909211432479807402
7Griffins32000100963220000006241000010034-150.8339162500595445988559533549349621327215213.33%16193.75%0973198748.97%1013203449.80%46095947.97%13909211432479807402
8Gulls2020000037-41010000023-11010000014-300.0003580059544594655953354934481316391300.00%7442.86%0973198748.97%1013203449.80%46095947.97%13909211432479807402
9Heat514000001119-831200000711-42020000048-420.20011223300595445912355953354934153484015521733.33%20575.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
10Ice Hogs2010100056-1100010003211010000024-220.50058131059544596055953354934762416589111.11%8187.50%0973198748.97%1013203449.80%46095947.97%13909211432479807402
11Marlies833010102120141200010911-2421010001293100.62521375800595445920555953354934200644816238410.53%23386.96%0973198748.97%1013203449.80%46095947.97%13909211432479807402
12Monsters5120011014140311000109722010010057-250.50014253900595445915955953354934134332413224625.00%10370.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
13Moose2010010027-5000000000002010010027-510.250246005954459365595335493497282544200.00%10280.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
14Penguins11000000422110000004220000000000021.000481200595445927559533549342874305360.00%20100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
15Phantoms2110000010100110000006421010000046-220.5001017270059544594955953354934701018607571.43%8362.50%0973198748.97%1013203449.80%46095947.97%13909211432479807402
16Rampage30200100512-71010000002-220100100510-510.1675813005954459865595335493411220246012325.00%12375.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
17Reign3110010011110210001008711010000034-130.50011193000595445995559533549349324256714428.57%10280.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
18Rocket10001000431100010004310000000000021.00047110059544593155953354934277722400.00%10100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
19Senators1010000013-2000000000001010000013-200.000123105954459195595335493439101222500.00%60100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
20Sound Tigers21100000862000000000002110000086220.500814220059544595555953354934542014476350.00%60100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
21Swamp Rabbits1010000001-1000000000001010000001-100.0000000059544592155953354934286627500.00%30100.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
22Thunderbirds1010000034-1000000000001010000034-100.000358005954459295595335493429131023300.00%4250.00%0973198748.97%1013203449.80%46095947.97%13909211432479807402
23Wheat Kings31200000913-421100000910-11010000003-320.333915240059544591035595335493410830287418211.11%13284.62%0973198748.97%1013203449.80%46095947.97%13909211432479807402
24Wild32100000101002110000056-11100000054140.6671016260059544598655953354934712522761516.67%10460.00%1973198748.97%1013203449.80%46095947.97%13909211432479807402
25Wolves321000001192110000004312110000076140.667112132005954459835595335493485263277600.00%15473.33%2973198748.97%1013203449.80%46095947.97%13909211432479807402
Total60183004521164195-31301212031209293-1306180140172102-30540.450164289453305954459166655953354934181651749214862614617.62%2244978.13%5973198748.97%1013203449.80%46095947.97%13909211432479807402
_Since Last GM Reset60183004521164195-31301212031209293-1306180140172102-30540.450164289453305954459166655953354934181651749214862614617.62%2244978.13%5973198748.97%1013203449.80%46095947.97%13909211432479807402
_Vs Conference47152103521126148-2224109021207169223512014015579-24460.489126222348105954459132455953354934142040037711502083416.35%1733878.03%4973198748.97%1013203449.80%46095947.97%13909211432479807402
_Vs Division13614013203046-16747001202023-3627012001023-13210.80830558500595445932355953354934420123114328531222.64%511374.51%0973198748.97%1013203449.80%46095947.97%13909211432479807402

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6054L216428945316661816517492148630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6018304521164195
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30121231209293
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30618140172102
Derniers 10 matchs
WLOTWOTL SOWSOL
261100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2614617.62%2244978.13%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
559533549345954459
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
973198748.97%1013203449.80%46095947.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13909211432479807402


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
173912Barracuda-Reign-
174916Aces-Barracuda-
179941Barracuda-Reign-
180948Moose-Barracuda-
185973Moose-Barracuda-
188996Barracuda-Heat-
1891003Ice Hogs-Barracuda-
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
Assistance42,82220,819
Assistance PCT71.37%69.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 2121 - 70.71% 491,547$14,746,420$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,697,898$ 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$ 1,519,534$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,898,568$ 69 11,618$ 801,642$




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