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Barracuda
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 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
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure24
Limite contact 50 / 60
Espoirs36


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique186-362-24 (0.325%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)0-4
Coupe Stanley0


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
1Zach Sanford0XXX100.008678827880689169324947742564660507002700$
2Nick Foligno0XXX100.009193747875638266554945702584870506903400$
3Keegan Kolesar0XXX100.00979975758263866046504672255960050680251725,000$
4Curtis Lazar0XX100.00924692807062865659484781256970045670271800,000$
5Tyler Ennis0XX100.007742908558636973575147656175770506603200$
6Philipp Kurashev0XXX100.006542937670638865445046642558580506402200$
7Tyler Pitlick0X100.008345947775596457374845732564640506403000$
8Evgeny Svechnikov0XX100.008045847777577459374947642556560506202500$
9Aleksi Heponiemi0XX100.006557857257636462504444595345450506002300$
10Logan Stanley0X100.008891787389687357254338842556570506202400$
11Connor Clifton0X100.009166847665697859254138774560620506202700$
12Jacob Larsson0X100.007472797772727950253232653863630505702500$
13Johannes Kinnvall0X100.00736787696740385225353561374444050490251925,000$
Rayé
1Ryan Poehling0XX100.00694396747362726976484868255555050650231750,000$
2Brett Seney0XX100.00595665775671736780464659594949050640261750,000$
3Connor Dewar0XX100.00796380656656696256484674254747050630231925,000$
4Mike Vecchione0XX100.00726882666864656480424263594444050630291750,000$
5Bobby Brink (R)0X100.008043997358704184575345562544440506302111,137,500$
6Jack Drury (R)0X100.00676375716362626379424260574444050610221925,000$
7Gabriel Fortier (R)0XX100.00894587666254826225464761254444050600221880,000$
8Tim Gettinger0X100.00844699668355655746464565254444050600241750,000$
9Gustav Lindstrom0X100.00734389757269705925423878255555050610231850,000$
10Derrick Pouliot0X100.00734387777167646325443871256363050610281750,000$
11Cale Fleury0X100.00864699747765706025393875254848050590231750,000$
12Alex Vlasic (R)0X100.007544957577644355254039732545450505702111,491,667$
MOYENNE D’ÉQUIPE100.0079588674716370624545436833555605062
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
Rayé
1Connor Ingram0100.0056425377626154606361304444050590251733,333$
MOYENNE D’ÉQUIPE100.005642537762615460636130444405059
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 Waiver Possible 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
Aleksi HeponiemiBarracuda (ICE)LW/RW231/8/1999No155 Lbs178 CMNoNoNoNo0Pro & Farm0$0$NoLien
Alex VlasicBarracuda (ICE)D216/5/2001Yes198 Lbs198 CMNoNoNoNo1Pro & Farm1,491,667$1,491,667$0$0$NoLien
Bobby BrinkBarracuda (ICE)RW217/8/2001Yes163 Lbs175 CMNoNoNoNo1Pro & Farm1,137,500$1,137,500$0$0$NoLien
Brett SeneyBarracuda (ICE)C/LW262/27/1996No156 Lbs175 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Cale FleuryBarracuda (ICE)D2311/18/1998No213 Lbs185 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Connor CliftonBarracuda (ICE)D274/28/1995No175 Lbs180 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Connor DewarBarracuda (ICE)C/LW236/26/1999No182 Lbs178 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Connor IngramBarracuda (ICE)G253/30/1997No196 Lbs188 CMNoNoNoNo1Pro & Farm733,333$733,333$0$0$NoLien
Curtis LazarBarracuda (ICE)C/RW272/2/1995No193 Lbs183 CMNoNoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D281/16/1994No196 Lbs183 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Evgeny SvechnikovBarracuda (ICE)LW/RW2510/31/1996No208 Lbs191 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Gabriel FortierBarracuda (ICE)C/LW222/6/2000Yes174 Lbs178 CMNoNoNoNo1Pro & Farm880,000$880,000$0$0$NoLien
Gustav LindstromBarracuda (ICE)D2310/20/1998No190 Lbs188 CMNoNoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Jack DruryBarracuda (ICE)C222/3/2000Yes174 Lbs180 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jacob LarssonBarracuda (ICE)D254/29/1997No190 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Johannes KinnvallBarracuda (ICE)D257/28/1997No185 Lbs180 CMNoNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Keegan KolesarBarracuda (ICE)C/LW/RW254/8/1997No217 Lbs188 CMNoNoNoNo1Pro & Farm725,000$725,000$0$0$NoLien / Lien NHL
Logan StanleyBarracuda (ICE)D245/25/1998No228 Lbs201 CMNoNoNoNo0Pro & Farm0$0$NoLien
Mike VecchioneBarracuda (ICE)C/RW292/25/1993No194 Lbs178 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Nick FolignoBarracuda (ICE)C/LW/RW3410/30/1987No202 Lbs183 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Philipp KurashevBarracuda (ICE)C/LW/RW2210/12/1999No190 Lbs183 CMNoNoNoNo0Pro & Farm0$0$NoLien
Ryan PoehlingBarracuda (ICE)C/LW231/3/1999No197 Lbs188 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Tim GettingerBarracuda (ICE)LW244/13/1998No218 Lbs198 CMNoNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Tyler EnnisBarracuda (ICE)LW/RW3210/6/1989No161 Lbs175 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW3011/1/1991No200 Lbs188 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Zach SanfordBarracuda (ICE)C/LW/RW2711/9/1994No207 Lbs193 CMNoNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.23191 Lbs185 CM0.62534,327$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick FolignoZach SanfordKeegan Kolesar40122
2Tyler EnnisPhilipp KurashevTyler Pitlick30122
3Evgeny SvechnikovZach SanfordAleksi Heponiemi20122
4Keegan KolesarNick FolignoTyler Ennis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Clifton40122
2Logan Stanley30122
3Jacob Larsson20122
4Connor CliftonLogan Stanley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick FolignoZach SanfordKeegan Kolesar60122
2Tyler EnnisPhilipp KurashevTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Clifton60122
2Logan Stanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach SanfordNick Foligno60122
2Keegan KolesarTyler Ennis40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Clifton60122
2Logan Stanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Sanford60122Connor Clifton60122
2Nick Foligno40122Logan Stanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach SanfordNick Foligno60122
2Keegan KolesarTyler Ennis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Clifton60122
2Logan Stanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick FolignoZach SanfordKeegan KolesarConnor Clifton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick FolignoZach SanfordKeegan KolesarConnor Clifton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Svechnikov, Aleksi Heponiemi, Tyler PitlickEvgeny Svechnikov, Aleksi HeponiemiTyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Larsson, , Jacob Larsson,
Tirs de pénalité
Zach Sanford, Nick Foligno, Keegan Kolesar, Tyler Ennis, Tyler Pitlick
Gardien
#1 : , #2 :


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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,389,250$ 870,000$ 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$ 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
1Tyler Ennis249179260439-756631821771425.07%83452618.183868106120011217744.40181.9413
2Nikolay Goldobin3322091914008642148410105519.81%173625318.8449398817957122625739.56171.2827
3Zach Sanford179179211390-10912633728364727.67%136396322.1431296071129213410341.79231.97110
4Max Comtois168170172342819430411368524.82%54298317.766061121142044213345.27172.2902
5Alex Chiasson187911622535712631840563814.26%214444623.78113849994812359443.98101.14315

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
1Alex Nedeljkovic1188025120.9092.97705242349385422521410.82434
2Garret Sparks16750102150.9023.111000910551952892764920.75866
3Malcolm Subban102423760.9073.2854290229732051713430.63622
4Michael Hutchinson81334260.9113.2647842126029201580220.76517
5Carter Hutton84315010.8614.8846194037626981620700.66712

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
Saison régulière
201683204801572274308-34411023013311531381542102500241121170-49632744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
2017841554024542582391942112201233155112434243201221103127-24522584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
201882304301323346321254116200121117717344114230011216914821723465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20198437350511529025535422613020011771077042112203114113148-359229050879832888910792677858884908502981102568419222937625.94%3326680.12%13851178747.62%874192445.43%526111347.26%1815114320306651232614
202084265202031366447-81421524020102102001042112800021156247-9163366600966001291221106296410321024904162943118058915803209730.31%29010464.14%7430165625.97%387148526.06%377140026.93%1858122819896551215580
2021846210015245722093634237300200306100206422570132426610915713957294215140219820816333024104710529153127441138548142831013643.87%2765779.35%18814153053.20%846165351.18%708137951.34%2007135918476501229620
2022822650002316191126-50741172100120335561-2264192900111284565-2816161994815671125618217842343819723793252649105476615022467630.89%36318249.86%14523117844.40%542129741.79%1069232845.92%1808113817896451344679
Total Saison régulière5821623620616181823983477-1079292941650310101012921668-376290681970368811061809-703406239838186216898608037113917694586457675954241199757358414110387213345221.19%193464466.70%4446911080043.44%45621118940.77%4353980444.40%12485795213848463888064347
Séries éliminatoires
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
2021117400000473611642000002619753200000211741447751220018171024171411351271442418490194452044.44%461763.04%013121959.82%12223352.36%8315453.90%2711842658916280
Total Séries éliminatoires40400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819

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
1Jesper Bratt1151419401417519.80%622120.1328101200000033.3301.7200
2Curtis Lazar11126184021346119.67%2825823.475382300012160.7811.3900
3Ty Smith1131316461619486.25%4132029.17325120001000.00%01.0000
4Max Comtois115813148103414.71%319317.59448900000057.1411.3400
5Shane Pinto11651111013151931.58%1517916.36358700002162.8911.2200

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
1Alex Nedeljkovic117310.9153.106970036424270200.00%0
2Garret Sparks51310.9352.383030012185103000.00%0