Connexion

Barracuda
GP: 4 | W: 0 | L: 4
GF: 4 | GA: 15 | PP%: 20.00% | PK%: 84.62%
DG: Maxime Ducharme | Morale : 47 | Moyenne d’équipe : 62
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Centre de jeu
Belleville
9-7-0, 18pts
4
FINAL
2 Barracuda
0-4-0, 0pts
Team Stats
L3SéquenceL4
5-4-0Fiche domicile0-2-0
4-3-0Fiche domicile0-2-0
4-4-2Derniers 10 matchs0-4-0
3.13Buts par match 1.00
2.50Buts contre par match 3.75
10.53%Pourcentage en avantage numérique20.00%
73.33%Pourcentage en désavantage numérique84.62%
Belleville
9-7-0, 18pts
3
FINAL
0 Barracuda
0-4-0, 0pts
Team Stats
L3SéquenceL4
5-4-0Fiche domicile0-2-0
4-3-0Fiche domicile0-2-0
4-4-2Derniers 10 matchs0-4-0
3.13Buts par match 1.00
2.50Buts contre par match 3.75
10.53%Pourcentage en avantage numérique20.00%
73.33%Pourcentage en désavantage numérique84.62%
Meneurs d'équipe
Buts
Leon Gawanke
1
Passes
Henry Thrun
3
Points
Henry Thrun
3
Plus/Moins
Griffin Luce
0
Victoires
Kirill Ustimenko
0
Pourcentage d’arrêts
Kirill Ustimenko
0.874

Statistiques d’équipe
Buts pour
4
1.00 GFG
Tirs pour
88
22.00 Avg
Pourcentage en avantage numérique
20.0%
1 GF
Début de zone offensive
41.1%
Buts contre
15
3.75 GAA
Tirs contre
107
26.75 Avg
Pourcentage en désavantage numérique
84.6%%
2 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralMaxime Ducharme
EntraîneurDoug Houda
DivisionDivision 1
ConférenceConference 1
CapitaineScott Sabourin
Assistant #1Jacob MacDonald
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,628
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs35


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
1Juho Lammikko0X100.006836946379778964806163756266676376650271700,000$
2Jacob Peterson0XX100.006237896473838562816163626465675678630241775,000$
3Thomas Bordeleau0X100.005636916765897569666862616561637578630211916,667$
4William Eklund0XX100.006038777069897368646761656861638758630203863,333$
5Nathan Todd (R)0X100.006138866470907163686166596569703678620272775,000$
6Scott Sabourin (C)0X100.007882506188797860566559626071733478620313775,000$
7Givani Smith0XX100.007883516083747962575960615865677179610252800,000$
8Tristen Robins0X100.005835936366857262665860596162647078600212797,500$
9Adam Raska0X100.007844605866738159575859605862644978590221848,333$
10Jack Kopacka0X100.006736815680777955615457595664666178580251700,000$
11Brandon Coe (R)0X100.007539905584656953605654585362646378570211850,833$
12Ozzy Wiesblatt (R)0X100.006039785668696755585756545361637837550212835,833$
13Nick Cicek0X100.007442706184787963306658645063654578640231835,000$
14Leon Gawanke (R)0X100.006639846275838561306260595064665578620241775,000$
15Shakir Mukhamadullin (R)0X100.007339896282656163306954644861638278620212894,167$
16Jacob MacDonald (A)0XX100.006838826475797863306753555070723578620301762,500$
17Henry Thrun0X100.005636836478856066306850594961626478610221912,500$
18Griffin Luce0X100.007843655287637451305251524564664372570251700,000$
Rayé
MOYENNE D’ÉQUIPE100.00684379617678756153625860566466597461
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
1Eetu Makiniemi0100.00746364777372747372747364716077700241775,000$
2Kirill Ustimenko0100.00666867816564666564666563696475660241700,000$
Rayé
1Joe Murdaca0100.00606566905958605958605968813632640281700,000$
MOYENNE D’ÉQUIPE100.0067656683666567666567666574536167
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Houda64666469837765CAN562800,000$


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
1Henry ThrunBarracuda (SJS)D4033000111020%56115.390000000000000%000000.9700000000
2Leon GawankeBarracuda (SJS)D4101-5202332233.33%38220.7310133000010000%000000.2400000000
3Givani SmithBarracuda (SJS)LW/RW4011-400747270%16516.3800004000020050.00%200000.3100000000
4Griffin LuceBarracuda (SJS)D41010408130133.33%46616.660000000006000%000000.3000000000
5Juho LammikkoBarracuda (SJS)LW4101-5000673814.29%17619.0300000000000045.98%8700000.2600000000
6Nathan ToddBarracuda (SJS)C40110001114150%16516.30011140000130057.14%7700000.3100000000
7Thomas BordeleauBarracuda (SJS)C4101-40009111109.09%16917.4300003000170050.67%7500000.2900000000
8William EklundBarracuda (SJS)C/LW4011-5000314380%17619.0300000000000016.67%600000.2600000000
9Tristen RobinsBarracuda (SJS)RW4011000213210%14711.860000000000000%100000.4200000000
10Adam RaskaBarracuda (SJS)RW4000-100402110%3266.500000000000000%10000000000000
11Brandon CoeBarracuda (SJS)RW4000-120100010%0256.490000000000000%20000000000000
12Ozzy WiesblattBarracuda (SJS)RW4000-400211130%27619.03000030000130050.00%40000000000000
13Shakir MukhamadullinBarracuda (SJS)D4000-520250040%78120.4100003000010000%00000000000000
14Jack KopackaBarracuda (SJS)LW4000000339030%04711.89000000000000100.00%10000000000000
15Jacob MacDonaldBarracuda (SJS)LW/D4000-500432100%69523.8300004000012000%00000000000000
16Jacob PetersonBarracuda (SJS)C/LW4000-1000110020%0338.3000024000030050.00%300000000000000
17Nick CicekBarracuda (SJS)D4000-5100844010%59122.930000400007000%00000000000000
18Scott SabourinBarracuda (SJS)RW4000-5601237290%08521.3700003000150016.67%60000000000000
Statistiques d’équipe totales ou en moyenne724711-5026057598819684.55%41117416.311126390002930048.97%29200000.1900000000
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
1Eetu MakiniemiBarracuda (SJS)10000.8189.2313002110000004000
2Kirill UstimenkoBarracuda (SJS)40400.8743.192260012950010040000
Statistiques d’équipe totales ou en moyenne50400.8683.522390014106001044000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam RaskaBarracuda (SJS)RW222001-09-25No178 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm848,333$181,786$700,000$150,000$0$0$No------------------Lien
Brandon CoeBarracuda (SJS)RW212001-12-01 09:59:35Yes183 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,833$182,321$750,000$160,714$0$0$No------------------Lien
Eetu MakiniemiBarracuda (SJS)G241999-04-19No184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Givani SmithBarracuda (SJS)LW/RW251998-02-27No215 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$171,429$700,000$150,000$0$0$No800,000$--------No--------Lien / Lien NHL
Griffin LuceBarracuda (SJS)D251998-03-10No217 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Henry ThrunBarracuda (SJS)D222001-03-12 10:43:02No188 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm912,500$195,536$700,000$150,000$0$0$No------------------
Jack KopackaBarracuda (SJS)LW251998-03-05No197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Jacob MacDonaldBarracuda (SJS)LW/D301993-02-26No204 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$0$0$No------------------Lien
Jacob PetersonBarracuda (SJS)C/LW241999-07-19No180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Joe MurdacaBarracuda (SJS)G281994-11-22No216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Juho LammikkoBarracuda (SJS)LW271996-01-29No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Kirill UstimenkoBarracuda (SJS)G241999-01-29No187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Leon GawankeBarracuda (SJS)D241999-05-31 10:04:42Yes186 Lbs7 ft6NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Nathan ToddBarracuda (SJS)C271995-12-02Yes176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No775,000$--------No--------Lien
Nick CicekBarracuda (SJS)D232000-05-29No201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm835,000$178,929$700,000$150,000$0$0$No------------------Lien
Ozzy WiesblattBarracuda (SJS)RW212002-03-09 10:11:31Yes178 Lbs7 ft0NoNoN/ANoNo2FalseFalsePro & Farm835,833$179,107$750,000$160,714$0$0$No835,833$--------No--------Lien
Scott SabourinBarracuda (SJS)RW311992-07-30No207 Lbs6 ft4NoNoN/ANoNo3FalseFalseFarm Only775,000$166,071$700,000$150,000$0$0$No775,000$775,000$-------NoNo-------Lien
Shakir MukhamadullinBarracuda (SJS)D212002-01-10 10:14:48Yes193 Lbs7 ft2NoNoN/ANoNo2FalseFalsePro & Farm894,167$191,607$750,000$160,714$0$0$No894,167$--------No--------Lien
Thomas BordeleauBarracuda (SJS)C212002-01-03No175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm916,667$196,429$700,000$150,000$0$0$No------------------Lien
Tristen RobinsBarracuda (SJS)RW212001-11-15 10:30:58No180 Lbs7 ft0NoNoN/ANoNo2FalseFalsePro & Farm797,500$170,893$700,000$150,000$0$0$No797,500$--------No--------
William EklundBarracuda (SJS)C/LW202002-10-12 10:11:17No178 Lbs6 ft10NoNoN/ANoNo3FalseFalsePro & Farm863,333$185,000$700,000$150,000$0$0$No863,333$863,333$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.10191 Lbs6 ft61.43794,841$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William EklundJuho LammikkoScott Sabourin40122
2Givani SmithThomas BordeleauOzzy Wiesblatt30122
3Jack KopackaNathan ToddTristen Robins20122
4Brandon CoeJacob PetersonAdam Raska10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekJacob MacDonald40122
2Leon GawankeShakir Mukhamadullin30122
3Henry ThrunGriffin Luce20122
4Nick CicekJacob MacDonald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ozzy WiesblattThomas BordeleauScott Sabourin60122
2Jacob PetersonNathan ToddGivani Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekJacob MacDonald60122
2Leon GawankeShakir Mukhamadullin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan ToddOzzy Wiesblatt60140
2Thomas BordeleauScott Sabourin40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekJacob MacDonald60140
2Leon GawankeShakir Mukhamadullin40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Scott Sabourin60140Nick CicekJacob MacDonald60140
2Ozzy Wiesblatt40140Leon GawankeShakir Mukhamadullin40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob PetersonOzzy Wiesblatt60122
2Thomas BordeleauScott Sabourin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekJacob MacDonald60122
2Leon GawankeShakir Mukhamadullin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William EklundJuho LammikkoScott SabourinNick CicekJacob MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William EklundJuho LammikkoScott SabourinNick CicekJacob MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Sabourin, Ozzy Wiesblatt, Nathan ToddGivani Smith, Ozzy WiesblattNathan Todd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Henry Thrun, Griffin Luce, Leon GawankeHenry ThrunGriffin Luce, Leon Gawanke
Tirs de pénalité
Juho Lammikko, William Eklund, Thomas Bordeleau, Jacob MacDonald, Scott Sabourin
Gardien
#1 : Kirill Ustimenko, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Juho Lammikko, William Eklund, Thomas Bordeleau, Jacob MacDonald, Scott Sabourin, Nathan Todd, Nathan Todd, Jacob Peterson, Givani Smith, Tristen Robins, Adam Raska
Lignes de défense personnalisées en prolongation
Nick Cicek, Jacob MacDonald, Leon Gawanke, Shakir Mukhamadullin, Henry Thrun


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
1Belleville40400000415-112020000027-52020000028-600.00047111011208824313301074126575120.00%13284.62%06212051.67%5811550.43%235740.35%8557101305325
Total40400000415-112020000027-52020000028-600.00047111011208824313301074126575120.00%13284.62%06212051.67%5811550.43%235740.35%8557101305325
_Since Last GM Reset40400000415-112020000027-52020000028-600.00047111011208824313301074126575120.00%13284.62%06212051.67%5811550.43%235740.35%8557101305325
_Vs Conference40400000415-112020000027-52020000028-600.00047111011208824313301074126575120.00%13284.62%06212051.67%5811550.43%235740.35%8557101305325

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L447118810741265710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000415
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000027
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000028
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5120.00%13284.62%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
24313301120
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
6212051.67%5811550.43%235740.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8557101305325


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
1 - 2024-04-231Barracuda0Belleville2LSommaire du match
2 - 2024-04-249Barracuda2Belleville6LSommaire du match
3 - 2024-04-2517Belleville4Barracuda2LSommaire du match
4 - 2024-04-2625Belleville3Barracuda0LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0001,256
Assistance PCT100.00%62.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 2628 - 87.60% 99,275$198,550$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,669,166$ 1,425,000$ 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$ 6 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