Barracuda
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dominic Joyal | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralDominic Joyal
DivisionOrr
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure25
Limite contact 51 / 60
Espoirs35


Historique d'équipe

Saison actuelle0-0
Historique213-255-29 (0.429%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Cory Conacher0XXX100.00736871716372776050444467596465050660301780,000$
2Max Comtois (R)0X100.00869077787866677332504861754646050660211925,000$
3Nikolay Goldobin0X100.00695891816772757142474664625555050660242900,000$
4Jesper Bratt0X100.00664296916367737330524964636263050650222825,000$
5Brett Seney0X100.00605670775682876379414158594949050650241825,000$
6Carter Verhaeghe (R)0X100.00725191646863815646464762255959050620252700,000$
7Ryan Poehling (R)0X100.007944947769566757334645682546460506002111,491,667$
8Evgeny Svechnikov (R)0X100.007579676879525158503939635544440505802311,075,833$
9Samuel Girard0X100.00704893885982937025453960256263050650222935,833$
10Slater Koekkoek0X100.00814777767270596131423879255758050610262925,000$
11Derrick Pouliot0X100.007763847774737858253938624362630506002611,100,000$
12Gustav Lindstrom (R)0X100.00774475727070686125403874254545050590212925,000$
13Connor Clifton0X100.00914985646468705825393977454849050590251735,000$
14Cale Fleury (R)0X100.00904694777464735325393869254747050570212883,333$
Rayé
1Timothy Gettinger0X100.00878591648574785850383869584444050660221730,000$
2Keegan Kolesar (R)0X100.00827976658272715350414169454545050650232905,000$
3Tyler Ennis0XX100.00784393855864787445504958657374050650301780,000$
4Tyler Pitlick0X100.008644947775637259384847672561620506402811,000,000$
5Kerby Rychel0X100.00787282577762554750383864424848050600251725,000$
6Lean Bergmann (R)0XX100.00894689757651645126474556254545050570212925,000$
7Nick Jensen0X100.007450927470769160254238772562630506403011,080,000$
8Jonathon Merrill0X100.007643798277757058254238672567680506102821,375,000$
9Otto Leskinen (R)0X100.00646170746169745225343456384444050540232925,000$
MOYENNE D’ÉQUIPE100.0077578475706873603743426642545405062
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 SP
1Carter Hutton100.0058737176726367586858716465050660
2Malcolm Subban100.0051545378625453556251955252050580
Rayé
1Landon Bow100.0052698986485350554747304444050580
MOYENNE D’ÉQUIPE100.005465718061575756595265535405061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire 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 10Link
Brett SeneyBarracuda (ICE)C241996-02-28No156 Lbs175 CMNoNoNo1Pro & Farm825,000$471,428$0$0$NoLien / Lien NHL
Cale FleuryBarracuda (ICE)D211998-11-19Yes203 Lbs185 CMNoNoNo2Pro & Farm883,333$504,761$0$0$No883,333$Lien / Lien NHL
Carter HuttonBarracuda (ICE)G341985-12-18No202 Lbs185 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Carter VerhaegheBarracuda (ICE)C251995-08-14Yes181 Lbs185 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Connor CliftonBarracuda (ICE)D251995-04-28No175 Lbs180 CMNoNoNo1Pro & Farm735,000$420,000$0$0$NoLien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW301989-12-14No180 Lbs173 CMNoNoNo1Pro & Farm780,000$445,714$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D261994-01-16No208 Lbs183 CMNoNoNo1Pro & Farm1,100,000$628,571$0$0$NoLien / Lien NHL
Evgeny SvechnikovBarracuda (ICE)RW231996-10-31Yes212 Lbs191 CMNoNoNo1Pro & Farm1,075,833$614,761$0$0$NoLien / Lien NHL
Gustav LindstromBarracuda (ICE)D211998-10-20Yes187 Lbs188 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien NHL
Jesper BrattBarracuda (ICE)LW221998-07-30No175 Lbs178 CMNoNoNo2Pro & Farm825,000$471,428$0$0$No825,000$Lien / Lien NHL
Jonathon MerrillBarracuda (ICE)D281992-02-03No205 Lbs191 CMNoNoNo2Pro & Farm1,375,000$785,714$0$0$No1,375,000$Lien
Keegan KolesarBarracuda (ICE)RW231997-04-08Yes227 Lbs188 CMNoNoNo2Pro & Farm905,000$517,142$0$0$No905,000$Lien / Lien NHL
Kerby RychelBarracuda (ICE)LW251994-10-07No213 Lbs185 CMNoNoNo1Pro & Farm725,000$414,285$0$0$NoLien
Landon BowBarracuda (ICE)G251995-08-23No214 Lbs193 CMNoNoNo1Pro & Farm697,500$398,571$0$0$NoLien / Lien NHL
Lean BergmannBarracuda (ICE)LW/RW211998-10-04Yes205 Lbs188 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien NHL
Malcolm SubbanBarracuda (ICE)G261993-12-21No200 Lbs188 CMNoNoNo2Pro & Farm850,000$485,714$0$0$No850,000$Lien / Lien NHL
Max ComtoisBarracuda (ICE)LW211999-01-08Yes207 Lbs188 CMNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien / Lien NHL
Nick JensenBarracuda (ICE)D301990-09-20No194 Lbs183 CMNoNoNo1Pro & Farm1,080,000$617,142$0$0$NoLien / Lien NHL
Nikolay GoldobinBarracuda (ICE)LW241995-10-07No185 Lbs180 CMNoNoNo2Pro & Farm900,000$514,285$0$0$No900,000$Lien / Lien NHL
Otto LeskinenBarracuda (ICE)D231997-02-06Yes168 Lbs180 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien NHL
Ryan PoehlingBarracuda (ICE)RW211999-01-02Yes183 Lbs188 CMNoNoNo1Pro & Farm1,491,667$852,381$0$0$NoLien / Lien NHL
Samuel GirardBarracuda (ICE)D221998-05-12No162 Lbs178 CMNoNoNo2Pro & Farm935,833$534,761$0$0$No935,833$Lien / Lien NHL
Slater KoekkoekBarracuda (ICE)D261994-02-18No193 Lbs188 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Timothy GettingerBarracuda (ICE)LW221998-04-14No220 Lbs198 CMNoNoNo1Pro & Farm730,000$417,142$0$0$NoLien
Tyler EnnisBarracuda (ICE)C/LW301989-10-06No161 Lbs175 CMNoNoNo1Pro & Farm780,000$445,714$0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW281991-10-31No200 Lbs188 CMNoNoNo1Pro & Farm1,000,000$571,428$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.85193 Lbs185 CM1.46910,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinCory Conacher40122
2Max ComtoisRyan Poehling30122
3Jesper BrattEvgeny Svechnikov20122
4Brett SeneyNikolay Goldobin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardSlater Koekkoek40122
2Derrick PouliotConnor Clifton30122
3Gustav LindstromCale Fleury20122
4Samuel GirardSlater Koekkoek10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolay GoldobinCory Conacher60122
2Max ComtoisRyan Poehling40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikolay Goldobin60122
2Cory Conacher40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Samuel GirardSlater Koekkoek60122
2Nikolay Goldobin40122Derrick PouliotConnor Clifton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikolay Goldobin60122
2Cory Conacher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardSlater Koekkoek60122
2Derrick PouliotConnor Clifton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinCory ConacherSamuel GirardSlater Koekkoek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinCory ConacherSamuel GirardSlater Koekkoek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gustav Lindstrom, Cale Fleury, Derrick PouliotGustav LindstromCale Fleury, Derrick Pouliot
Tirs de pénalité
, Nikolay Goldobin, , Cory Conacher, Max Comtois
Gardien
#1 : Carter Hutton, #2 : Malcolm Subban


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,366,916$ 2,079,249$ 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$ 8 0$ 0$




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
Saison régulière
201683204801572274308-34411023013311531381542102500241121170-496327445072410082114702242075375071728011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
2017841554024542582391942112201233155112434243201221103127-245225844870615090827920630645660725256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
2018825023033304842402444132401310265101164411819020202191398011548485413380301821611353097011181036926274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
20188230430132334632125411620012111771734411423001121691482172346586932210119121103250708108088513025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20198437350511529025535422613020011771077042112203114113148-35922905087983208889107267708588849082981102568419222937625.94%3326680.12%13851178747.62%874192445.43%526111347.26%1815114320306651232614
202084265202031366447-81421524020102102001042112800021156247-9163366600966001291221106296410321024904162943118058915803209730.31%29010464.14%7430165625.97%387148526.06%377140026.93%1858122819896551215580
Total Saison régulière49917825501416211520181810208249110106081096113783130625068149066129881979-9845720183446546471112968367750015550103252085042414317059614547089370168939423.33%194946476.19%804309977144.10%45361075242.19%3217724144.43%10716673711868404675853762
Séries éliminatoires
201651400000612-6211000003303030000039-62691500004111903337481856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
Total Séries éliminatoires51400000612-6211000003303030000039-62691500004111903337481856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329