Connexion

Barracuda
GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7
GF: 22 | GA: 32 | PP%: 14.52% | PK%: 80.33%
DG: Alex Landry | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Gulls
5-4-1, 11pts
1
FINAL
3 Barracuda
3-6-1, 7pts
Team Stats
L2SéquenceL1
2-2-1Fiche domicile2-3-0
3-2-0Fiche domicile1-3-1
5-4-1Derniers 10 matchs3-6-1
2.50Buts par match 2.20
2.80Buts contre par match 3.20
19.30%Pourcentage en avantage numérique14.52%
90.20%Pourcentage en désavantage numérique80.33%
Barracuda
3-6-1, 7pts
2
FINAL
4 Moose
3-5-2, 8pts
Team Stats
L1SéquenceW1
2-3-0Fiche domicile2-2-1
1-3-1Fiche domicile1-3-1
3-6-1Derniers 10 matchs3-5-2
2.20Buts par match 2.10
3.20Buts contre par match 3.80
14.52%Pourcentage en avantage numérique14.00%
80.33%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Brett Seney
4
Passes
Connor Clifton
6
Points
Brett Seney
7
Plus/Moins
Brett Seney
1
Victoires
Maxime Lagace
2
Pourcentage d’arrêts
Jaxson Stauber
0.929

Statistiques d’équipe
Buts pour
22
2.20 GFG
Tirs pour
181
18.10 Avg
Pourcentage en avantage numérique
14.5%
9 GF
Début de zone offensive
40.4%
Buts contre
32
3.20 GAA
Tirs contre
197
19.70 Avg
Pourcentage en désavantage numérique
80.3%%
12 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralAlex Landry
EntraîneurAlain Nasreddine
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 60
Espoirs8


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
1AJ Greer0XX100.00829951778254796055605868255757635000264762,500$
2Brayden Burke0XXX100.00686087626049466176595860554444605000264750,000$
3Brett Seney0XX100.00656173776178816780636562625151675000273750,000$
4Beck Malenstyn (R)0XX100.00787683687674805265455463514444595000251750,000$
5Danton Heinen0XX100.007743938069578865356762712569706950002831,110,000$
6Filip Zadina0XX100.006942898068657068346159692562626550002331,744,167$
7Jordan Greenway0XX100.008246878086657960295859672567686550002643,000,000$
8Filip Cederqvist (R)0XX100.0073698266696468515050476045444455500N0231850,000$
9Sam Steel0XX100.00694290816769846679736867256565715000251874,125$
10Ozzy Wiesblatt (R)0X100.00706580636560625450505360504444575000213863,333$
11Brett Leason0X100.00674391708059785934566067255556635000242775,000$
12Shane Bowers (R)0X100.00726491666461645366505160484444575000242750,000$
13Ian Mitchell (R)0X100.006541927664697065255448662547476050002421,775,000$
14Connor Clifton0X100.009277787666758658255748814564676450002821,000,000$
15Brandon Carlo0X100.008259858481779461255248952571746750002612,850,000$
16Noah Juulsen0X100.00994785687266776225394779254848615000264750,000$
17Ronan Seeley (R)0X100.00746595646571775125464161394444555000213837,500$
18Jared McIsaac (R)0X100.00746985676976835125464161394444555000233896,667$
Rayé
1Jordy Bellerive0X100.00716974636960625366495360504444575000242750,000$
2Max Gildon (R)0X100.00717172707154564925434059384444525000242925,000$
3Nikita Okhotiuk (R)0X100.00677156677162664825394257404545515000233905,000$
MOYENNE D’ÉQUIPE100.0075618272706574584453526637525361500
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
1Jaxson Stauber (R)0100.00495366704849505549493044445050002412,950,000$
2Spencer Martin (R)0100.006260588165586964656291474763500N0281762,500$
Rayé
1Maxime Lagace (R)0100.0049526575474950544949304444505000301875,000$
MOYENNE D’ÉQUIPE100.005355637553525658545350454554500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasreddine77787673777580CAN4921,000,000$


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
1Connor CliftonBarracuda (SJS)D10167-2235251194811.11%720720.79044742000041000%000000.6700001100
2Brett SeneyBarracuda (SJS)C/LW9437100415196521.05%114716.37123446000091057.82%14700000.9500000100
3Filip ZadinaBarracuda (SJS)LW/RW10437000341751523.53%018518.532137470000300040.00%1500000.7600000001
4Noah JuulsenBarracuda (SJS)D9156114027672414.29%414516.12101315000011100%000000.8300000012
5Ross ColtonSharksC/LW8235-21602391631112.50%417021.271125320001350034.48%2900000.5900000001
6Jordan GreenwayBarracuda (SJS)LW/RW9224-2201210114318.18%016117.951125400000320028.57%3500000.5000000000
7Trevor van RiemsdykSharksD9224-2204111571413.33%1121223.612131343000043100%000000.3800000100
8Brett LeasonBarracuda (SJS)RW9134-2402418485.56%114416.03022328000000051.52%3300000.5500000001
9Brayden BurkeBarracuda (SJS)C/LW/RW9123-24078103610.00%013014.46011020000130157.14%1400000.4600000000
10Beck MalenstynBarracuda (SJS)C/LW10123-1140171150920.00%115215.23000000000170043.80%13700000.3900000000
11AJ GreerBarracuda (SJS)LW/RW9022116017104390%116117.990000400000270039.02%4100000.2500000000
12Ian MitchellBarracuda (SJS)D10022080188250%619819.85011834000040000%000000.2000000000
13Jared McIsaacBarracuda (SJS)D9112-1607621050.00%714416.1000001000014000%000000.2800000010
14Rasmus SandinSharksD8112-4160251380312.50%518623.35112840000033000%000000.2100000000
15Ozzy WiesblattBarracuda (SJS)RW9101-1603271014.29%0596.5600000000000025.00%400000.3400000000
16Shane PintoSharksC2000-120279140%14723.6400037000090065.31%490000000000000
17Brandon CarloBarracuda (SJS)D1000-100021010%02323.980001700003000%00000000000000
18Danton HeinenBarracuda (SJS)LW/RW1000000224110%01919.9200025000040060.00%100000000000000
19Ronan SeeleyBarracuda (SJS)D1000-140300000%11515.920000000000000%00000000000000
20Filip CederqvistBarracuda (SJS)LW/RW7000075000000%0131.900000000000000%00000000010000
21Sam SteelBarracuda (SJS)C/LW1000000030140%02020.3000006000040056.25%160000000000000
22Jordy BelleriveBarracuda (SJS)C8000000302010%0293.64000111000000040.00%150000000000000
23Shane BowersBarracuda (SJS)C9000-1202123030%09310.3400000000000048.45%970000000000000
Statistiques d’équipe totales ou en moyenne167223759-20146101891541754811412.57%50267015.99915247045600013723148.75%64200000.4400011325
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
1Maxime LagaceBarracuda (SJS)82410.8632.7044400201460200080010
2Jaxson StauberBarracuda (SJS)21000.9291.1552001140000009000
3Spencer MartinBarracuda (SJS)10100.6365.4644004110000010000
Statistiques d’équipe totales ou en moyenne113510.8542.775410025171020099010


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Lien
AJ GreerBarracuda (SJS)LW/RW261996-12-14No210 Lbs6 ft3NoNoNoNo4Pro & Farm762,500$762,500$762,500$762,500$0$0$No762,500$762,500$762,500$Lien
Beck MalenstynBarracuda (SJS)C/LW251998-02-04Yes200 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Brandon CarloBarracuda (SJS)D261996-11-25No212 Lbs6 ft5NoNoNoNo1Pro & Farm2,850,000$2,850,000$2,850,000$2,850,000$0$0$NoLien
Brayden Burke (contrat à 1 volet)Barracuda (SJS)C/LW/RW261997-01-01No165 Lbs5 ft10NoNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Brett LeasonBarracuda (SJS)RW241999-04-30No210 Lbs6 ft4NoNoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien
Brett SeneyBarracuda (SJS)C/LW271996-02-27No174 Lbs5 ft9NoNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Connor CliftonBarracuda (SJS)D281995-04-28No175 Lbs5 ft11NoNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Danton HeinenBarracuda (SJS)LW/RW281995-07-05No188 Lbs6 ft1NoNoNoNo3Pro & Farm1,110,000$1,110,000$1,110,000$1,110,000$0$0$No1,110,000$1,110,000$Lien
Filip CederqvistBarracuda (SJS)LW/RW232000-08-23Yes187 Lbs6 ft1YesNoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Filip ZadinaBarracuda (SJS)LW/RW231999-11-27No189 Lbs6 ft0NoNoNoNo3Pro & Farm1,744,167$1,744,167$1,744,167$1,744,167$0$0$No1,744,167$1,744,167$Lien
Ian MitchellBarracuda (SJS)D241999-01-18Yes175 Lbs5 ft11NoNoNoNo2Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$0$0$No1,775,000$Lien
Jared McIsaacBarracuda (SJS)D232000-03-27Yes189 Lbs6 ft1NoNoNoNo3Pro & Farm896,667$896,667$896,667$896,667$0$0$No896,667$896,667$Lien
Jaxson StauberBarracuda (SJS)G241999-04-27Yes175 Lbs6 ft3NoNoNoNo1Pro & Farm2,950,000$2,950,000$2,950,000$2,950,000$0$0$NoLien
Jordan GreenwayBarracuda (SJS)LW/RW261997-02-16No225 Lbs6 ft6NoNoNoNo4Pro & Farm3,000,000$3,000,000$3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$Lien
Jordy BelleriveBarracuda (SJS)C241999-05-02No195 Lbs5 ft10NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Max GildonBarracuda (SJS)D241999-05-17Yes187 Lbs6 ft3NoNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Maxime LagaceBarracuda (SJS)G301993-01-12Yes190 Lbs6 ft2NoNoNoNo1Pro & Farm875,000$875,000$875,000$875,000$0$0$NoLien
Nikita OkhotiukBarracuda (SJS)D232000-04-12Yes198 Lbs6 ft0NoNoNoNo3Pro & Farm905,000$905,000$905,000$905,000$0$0$No905,000$905,000$Lien
Noah JuulsenBarracuda (SJS)D261997-04-02No193 Lbs6 ft2NoNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Ozzy WiesblattBarracuda (SJS)RW212002-09-03Yes183 Lbs5 ft10NoNoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$
Ronan SeeleyBarracuda (SJS)D212002-02-08Yes176 Lbs6 ft0NoNoNoNo3Pro & Farm837,500$837,500$837,500$837,500$0$0$No837,500$837,500$
Sam SteelBarracuda (SJS)C/LW251998-02-03No189 Lbs5 ft11NoNoNoNo1Pro & Farm874,125$874,125$874,125$874,125$0$0$NoLien
Shane BowersBarracuda (SJS)C241999-07-30Yes170 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Spencer MartinBarracuda (SJS)G281995-06-08Yes205 Lbs6 ft3YesNoNoNo1Pro & Farm762,500$762,500$762,500$762,500$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.96190 Lbs6 ft12.331,177,325$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenSam SteelJordan Greenway35122
2Filip ZadinaBrett SeneyAJ Greer30122
3Brayden BurkeBeck MalenstynBrett Leason25122
4Filip CederqvistShane BowersOzzy Wiesblatt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloConnor Clifton35122
2Noah JuulsenIan Mitchell30122
3Jared McIsaacRonan Seeley25122
4Brandon CarloConnor Clifton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenSam SteelJordan Greenway60122
2Filip ZadinaBrett SeneyAJ Greer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloConnor Clifton60122
2Noah JuulsenIan Mitchell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Danton HeinenSam Steel60122
2Jordan GreenwayFilip Zadina40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloConnor Clifton60122
2Noah JuulsenIan Mitchell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Danton Heinen60122Brandon CarloConnor Clifton60122
2Sam Steel40122Noah JuulsenIan Mitchell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Danton HeinenSam Steel60122
2Jordan GreenwayFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloConnor Clifton60122
2Noah JuulsenIan Mitchell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenSam SteelJordan GreenwayBrandon CarloConnor Clifton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenSam SteelJordan GreenwayBrandon CarloConnor Clifton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Leason, Beck Malenstyn, Brayden BurkeBrett Leason, Beck MalenstynBrayden Burke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jared McIsaac, Ronan Seeley, Noah JuulsenJared McIsaacRonan Seeley, Noah Juulsen
Tirs de pénalité
Danton Heinen, Sam Steel, Jordan Greenway, Filip Zadina, Brett Seney
Gardien
#1 : Spencer Martin, #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
Danton Heinen, Sam Steel, Jordan Greenway, Filip Zadina, Brett Seney, AJ Greer, AJ Greer, Brett Leason, Beck Malenstyn, Brayden Burke, Ozzy Wiesblatt
Lignes de défense personnalisées en prolongation
Brandon Carlo, Connor Clifton, Noah Juulsen, Ian Mitchell, Jared McIsaac


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
1Condors2010010068-21010000012-11000010056-110.25061117001066041706446148930499444.44%14378.57%013828149.11%11826844.03%6714745.58%2301512467712561
2Gulls22000000734110000003121100000042241.00071320001066041706446133827351516.67%90100.00%013828149.11%11826844.03%6714745.58%2301512467712561
3Heat2110000034-1110000002111010000013-220.5003470010660247064461451346351119.09%21480.95%013828149.11%11826844.03%6714745.58%2301512467712561
4Monarchs20200000411-71010000024-21010000027-500.0004590010660367064461411525339222.22%9366.67%013828149.11%11826844.03%6714745.58%2301512467712561
5Moose2020000026-41010000002-21010000024-200.000246001066039706446130818391815.56%8275.00%013828149.11%11826844.03%6714745.58%2301512467712561
Total1036001002232-1052300000810-2513001001422-870.350223759001066018170644611975314619162914.52%611280.33%013828149.11%11826844.03%6714745.58%2301512467712561
_Since Last GM Reset1036001002232-1052300000810-2513001001422-870.350223759001066018170644611975314619162914.52%611280.33%013828149.11%11826844.03%6714745.58%2301512467712561
_Vs Conference825001001928-94130000069-3412001001319-650.313193352001066015770644611524010015651815.69%40880.00%013828149.11%11826844.03%6714745.58%2301512467712561
_Vs Division1025001002232-1051300000810-2512001001422-850.250223759001066018170644611975314619162914.52%611280.33%013828149.11%11826844.03%6714745.58%2301512467712561

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
107L12237591811975314619100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103601002232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5230000810
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51301001422
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
62914.52%611280.33%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
706446110660
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
13828149.11%11826844.03%6714745.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2301512467712561


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
12Barracuda2Monarchs7ALSommaire du match
213Condors2Barracuda1BLSommaire du match
328Moose2Barracuda0BLSommaire du match
432Barracuda1Heat3ALSommaire du match
545Barracuda4Gulls2AWSommaire du match
757Monarchs4Barracuda2BLSommaire du match
873Heat1Barracuda2BWSommaire du match
979Barracuda5Condors6ALXSommaire du match
1296Gulls1Barracuda3BWSommaire du match
13105Barracuda2Moose4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,750,579$ 2,750,579$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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