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San Jose Barracuda
GP: 12 | W: 5 | L: 7
GF: 31 | GA: 37 | PP%: 54.55% | PK%: 62.96%
DG: Joshua Rose | Morale : 40 | Moyenne d’équipe : 61
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Centre de jeu
Tuscon Roadrunners
13-8-0, 26pts
5
FINAL
3 San Jose Barracuda
5-7-0, 10pts
Team Stats
L2SéquenceL2
8-3-0Fiche domicile2-3-0
5-5-0Fiche domicile3-4-0
5-4-1Derniers 10 matchs4-5-1
3.24Buts par match 2.58
2.52Buts contre par match 3.08
25.71%Pourcentage en avantage numérique54.55%
76.00%Pourcentage en désavantage numérique62.96%
San Jose Barracuda
5-7-0, 10pts
0
FINAL
1 Tuscon Roadrunners
13-8-0, 26pts
Team Stats
L2SéquenceL2
2-3-0Fiche domicile8-3-0
3-4-0Fiche domicile5-5-0
4-5-1Derniers 10 matchs5-4-1
2.58Buts par match 3.24
3.08Buts contre par match 2.52
54.55%Pourcentage en avantage numérique25.71%
62.96%Pourcentage en désavantage numérique76.00%
Meneurs d'équipe
Michael AmadioButs
Michael Amadio
7
Matt RoyPasses
Matt Roy
15
Matt RoyPoints
Matt Roy
17
Drew O'ConnorPlus/Moins
Drew O'Connor
6
Charlie LindgrenVictoires
Charlie Lindgren
5
Charlie LindgrenPourcentage d’arrêts
Charlie Lindgren
0.899

Statistiques d’équipe
Buts pour
31
2.58 GFG
Tirs pour
398
33.17 Avg
Pourcentage en avantage numérique
54.5%
6 GF
Début de zone offensive
38.6%
Buts contre
37
3.08 GAA
Tirs contre
368
30.67 Avg
Pourcentage en désavantage numérique
63.0%%
10 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralJoshua Rose
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 65
Espoirs23


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
1Michael Amadio0XX100.00744788758282847952707570767464072700272775,000$
2Lukas Sedlak0X100.00674475707678736866646269677364073650302775,000$
3Drew O'Connor (R)0X100.00734784738479737150656467695952075650251775,000$
4Luke Evangelista (R)0X100.00594077717480647040666664695150061630265797,500$
5Laurent Dauphin0X100.00573582865977946472455466557068065620283775,000$
6Tanner Laczynski (R)0X100.00664476717475676653606062665852072610262775,000$
7Zach Sanford0X100.00655565637272736655646058636355020600294775,000$
8Seth Griffith0XXX100.00554667696171716644666158656457072600312775,000$
9Cameron Hughes (R)0X100.00575263725466666644655963655450072590272775,000$
10Matt Luff0X100.00634375657068656341625758625752071580262775,000$
11Kalle Kossila0X100.00563575716170695147555251506048072550302775,000$
12Emerson Etem0X100.00633575765566705053535553506048071550312775,000$
13Luke Johnson0X100.00535560646067676045545451595751071550292775,000$
14Eric Cornel0X100.00603575775270675554484551506048023540272775,000$
15Noah Rod0XXX100.00513575796365704945515147476048018540272775,000$
16Pavel Jenys0X100.00795580557954545550555555555050044540272775,000$
17Matt Roy0X100.007347808381878483407670897969590767602823,150,000$
18Braden Schneider (R)0X100.00765789768684767540726677725750071700222925,000$
19Philippe Myers0X100.006751636975716766406259696557520656302612,550,000$
20Marcus Bjork (R)0X100.00624759708080646940666467685150072630264775,000$
21Gabriel Carlsson0X100.00674370687370696440615570636055071630271775,000$
22Darren Raddysh0X100.00644564716467666740656169665550072620272775,000$
23Jeremy Davies (R)0X100.00594757726166656540596068655450072600272775,000$
24Mason Geertsen0X100.00696852597769676140545457585650076580283775,000$
Rayé
1Jonathan Ang (R)0X100.00523575735167675152534951546048019530262775,000$
2Ben Holmstrom0X100.00523575746570655149494950516048019530362775,000$
3Reid Duke0XX100.00513575785165704553505245536048019530272775,000$
4Damien Riat (R)0X100.00503575735369695250454845556048019520262775,000$
5Adam Johnson0XX100.00543575715266664951484745466048020510294775,000$
MOYENNE D’ÉQUIPE100.0062447272677170624859576061605205660
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
1Charlie Lindgren0100.0081808171838075797882767366073750304775,000$
2Cristopher Nilstorp0100.0075757589827074757368477862077730393775,000$
Rayé
1Stephon Williams0100.0075757582797070686667507471024700302775,000$
2Anton Khudobin0100.0065707066676769676867717972024670373775,000$
3Stephen Michalek0100.0064706975647064686762455555024640302775,000$
MOYENNE D’ÉQUIPE100.007274747775717071706958726504470
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
1Matt RoySan Jose Barracuda (SJ )D1221517-64019286719182.99%2034528.8223569000123100%01915000.9800000111
2Michael AmadioSan Jose Barracuda (SJ )C/RW127714-61010192367194310.45%427122.59235780000141053.33%15167001.0300110200
3Laurent DauphinSan Jose Barracuda (SJ )C1231114-40023293411318.82%531226.00044180001230055.72%4021012000.9000000012
4Drew O'ConnorSan Jose Barracuda (SJ )LW127411675221535162220.00%223319.4621338000002040.00%1094000.9400100101
5Lukas SedlakSan Jose Barracuda (SJ )C1233662020173315199.09%822418.7400000000000056.76%14853000.5300000010
6Zach SanfordSan Jose Barracuda (SJ )LW12235-5135258173811.76%324620.5300000000000050.00%2034000.4100001000
7Seth GriffithSan Jose Barracuda (SJ )C/LW/RW12415-39519123852110.53%821618.0600004000071040.00%15107000.4600001000
8Braden SchneiderSan Jose Barracuda (SJ )D12044100121617780%1322018.370000000004000%056000.3600000000
9Tanner LaczynskiSan Jose Barracuda (SJ )C12224-22018151451114.29%116713.9800000000000048.61%7233000.4800000011
10Philippe MyersSan Jose Barracuda (SJ )D12022-2120241115540%929624.7400018000120000%047000.1300000000
11Luke EvangelistaSan Jose Barracuda (SJ )RW121126215169245254.17%321918.3000000000000016.67%646000.1800001000
12Darren RaddyshSan Jose Barracuda (SJ )D12011-1601310121240%1624920.7700005000017000%067000.0800000000
13Mason GeertsenSan Jose Barracuda (SJ )D12011-11951786140%1024020.0500003000014000%029000.0800001000
14Gabriel CarlssonSan Jose Barracuda (SJ )D12011520876230%1016313.620000000000000%023000.1200000000
15Cameron HughesSan Jose Barracuda (SJ )C12000-30018119080%620316.9900004000023000%101200000000000
16Eric CornelSan Jose Barracuda (SJ )C12000000000000%030.250000000002000%20000000000000
17Kalle KossilaSan Jose Barracuda (SJ )LW12000-100000000%0181.510000000008000%00100000000000
18Emerson EtemSan Jose Barracuda (SJ )RW12000000412020%1615.160000000000000%10200000000000
19Noah RodSan Jose Barracuda (SJ )C/LW/RW12000000000000%000.080000000000000%00000000000000
20Jeremy DaviesSan Jose Barracuda (SJ )D12000000000000%040.420000000000000%00000000000000
21Marcus BjorkSan Jose Barracuda (SJ )D12000000000000%000.020000000000000%00000000000000
22Luke JohnsonSan Jose Barracuda (SJ )C12000020112010%0605.0100004000000022.22%90000000000000
23Matt LuffSan Jose Barracuda (SJ )RW12000000000000%000.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne276315687-10109352782213981252327.79%119376113.6361117186500031615052.68%7109998000.4600214445
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
1Charlie LindgrenSan Jose Barracuda (SJ )125610.8992.9276001373681760000120120
Statistiques d’équipe totales ou en moyenne125610.8992.927600137368176000120120


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam JohnsonSan Jose Barracuda (SJ )C/LW296/22/1994No174 Lbs6 ft0NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Lien
Anton KhudobinSan Jose Barracuda (SJ )G375/7/1986No194 Lbs5 ft11NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Ben HolmstromSan Jose Barracuda (SJ )C364/8/1987No197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Braden SchneiderSan Jose Barracuda (SJ )D229/20/2001 1:29:40 AMYes208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Cameron HughesSan Jose Barracuda (SJ )C2710/9/1996Yes161 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Charlie LindgrenSan Jose Barracuda (SJ )G3012/18/1993No179 Lbs6 ft2NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Lien NHL
Cristopher NilstorpSan Jose Barracuda (SJ )G392/16/1984No191 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien
Damien RiatSan Jose Barracuda (SJ )LW262/26/1997Yes180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Darren RaddyshSan Jose Barracuda (SJ )D272/28/1996No201 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Drew O'ConnorSan Jose Barracuda (SJ )LW256/9/1998Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien NHL
Emerson EtemSan Jose Barracuda (SJ )RW316/16/1992No212 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Eric CornelSan Jose Barracuda (SJ )C274/11/1996No198 Lbs6 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Gabriel CarlssonSan Jose Barracuda (SJ )D271/2/1997No203 Lbs6 ft5NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien NHL
Jeremy DaviesSan Jose Barracuda (SJ )D2712/4/1996Yes181 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Jonathan AngSan Jose Barracuda (SJ )C261/30/1997Yes165 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Kalle KossilaSan Jose Barracuda (SJ )LW304/14/1993No185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Laurent DauphinSan Jose Barracuda (SJ )C283/27/1995No186 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Lukas SedlakSan Jose Barracuda (SJ )C302/25/1993No205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Luke EvangelistaSan Jose Barracuda (SJ )RW268/7/1997Yes183 Lbs6 ft0NoNoN/ANoNo5Pro & Farm797,500$0$0$No797,500$797,500$797,500$797,500$-----NoNoNoNo-----Lien NHL
Luke JohnsonSan Jose Barracuda (SJ )C299/19/1994No179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Marcus BjorkSan Jose Barracuda (SJ )D2611/24/1997Yes211 Lbs6 ft4NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------
Mason GeertsenSan Jose Barracuda (SJ )D284/19/1995No227 Lbs6 ft4NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Matt LuffSan Jose Barracuda (SJ )RW265/5/1997No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Matt RoySan Jose Barracuda (SJ )D283/1/1995No205 Lbs6 ft1NoNoN/ANoNo2Pro & Farm3,150,000$0$0$No3,150,000$--------No--------Lien NHL
Michael AmadioSan Jose Barracuda (SJ )C/RW275/13/1996No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Noah RodSan Jose Barracuda (SJ )C/LW/RW276/7/1996No192 Lbs5 ft10NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Pavel JenysSan Jose Barracuda (SJ )C274/2/1996No218 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Philippe MyersSan Jose Barracuda (SJ )D261/25/1997No209 Lbs6 ft5NoNoN/ANoNo1Pro & Farm2,550,000$0$0$No------------------
Reid DukeSan Jose Barracuda (SJ )C/RW271/28/1996No194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Seth GriffithSan Jose Barracuda (SJ )C/LW/RW311/4/1993No190 Lbs5 ft9NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Stephen MichalekSan Jose Barracuda (SJ )G308/6/1993 1:22:51 AMNo196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Stephon WilliamsSan Jose Barracuda (SJ )G304/28/1993No194 Lbs5 ft2NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Tanner LaczynskiSan Jose Barracuda (SJ )C266/1/1997Yes190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Zach SanfordSan Jose Barracuda (SJ )LW2911/9/1994No207 Lbs6 ft4NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3428.44195 Lbs6 ft12.35902,132$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael AmadioLaurent DauphinZach Sanford40122
2Drew O'ConnorLukas SedlakLuke Evangelista30122
3Seth GriffithTanner LaczynskiCameron Hughes20122
4Seth GriffithLaurent DauphinEmerson Etem10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt RoyPhilippe Myers40122
2Mason GeertsenDarren Raddysh30122
3Gabriel CarlssonBraden Schneider20122
4Matt RoyBraden Schneider10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael AmadioLaurent DauphinDrew O'Connor60122
2Cameron HughesSeth GriffithLuke Johnson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt RoyPhilippe Myers60122
2Mason GeertsenDarren Raddysh40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinCameron Hughes60122
2Seth GriffithMichael Amadio40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt RoyPhilippe Myers60122
2Mason GeertsenDarren Raddysh40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Laurent Dauphin60122Matt RoyPhilippe Myers60122
2Lukas Sedlak40122Mason GeertsenDarren Raddysh40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinMichael Amadio60122
2Cameron HughesDrew O'Connor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt RoyPhilippe Myers60122
2Mason GeertsenDarren Raddysh40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael AmadioLaurent DauphinDrew O'ConnorMatt RoyPhilippe Myers
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael AmadioLaurent DauphinDrew O'ConnorMatt RoyPhilippe Myers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Johnson, Cameron Hughes, Laurent DauphinLuke Johnson, Cameron HughesLaurent Dauphin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Roy, Philippe Myers, Darren RaddyshMatt RoyPhilippe Myers, Matt Roy
Tirs de pénalité
Laurent Dauphin, Luke Evangelista, Tanner Laczynski, Seth Griffith, Cameron Hughes
Gardien
#1 : Charlie Lindgren, #2 : Cristopher Nilstorp
Lignes d’attaque personnalisées en prolongation
Laurent Dauphin, Luke Evangelista, Luke Johnson, Tanner Laczynski, Emerson Etem, Michael Amadio, Michael Amadio, Cameron Hughes, Drew O'Connor, Seth Griffith, Lukas Sedlak
Lignes de défense personnalisées en prolongation
Matt Roy, Philippe Myers, Mason Geertsen, Darren Raddysh, Braden Schneider


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
1Hartford Wolf Pack743000002020031200000810-2431000001210280.57120365601961422331161051661119174441755360.00%12650.00%014427452.55%13426650.38%9617056.47%261137243116255128
2Tuscon Roadrunners514000001117-62110000076130300000411-720.20011203100961421651161051661117745651036350.00%15473.33%014427452.55%13426650.38%9617056.47%261137243116255128
Total1257000003137-6523000001516-1734000001621-5100.41731568701961423981161051661136811910927811654.55%271062.96%014427452.55%13426650.38%9617056.47%261137243116255128
_Since Last GM Reset1257000003137-6523000001516-1734000001621-5100.41731568701961423981161051661136811910927811654.55%271062.96%014427452.55%13426650.38%9617056.47%261137243116255128
_Vs Conference1257000003137-6523000001516-1734000001621-5100.41731568701961423981161051661136811910927811654.55%271062.96%014427452.55%13426650.38%9617056.47%261137243116255128

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1210L231568739836811910927801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125700003137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001516
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400001621
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11654.55%271062.96%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
1161051661196142
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
14427452.55%13426650.38%9617056.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
261137243116255128


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
13San Jose Barracuda1Hartford Wolf Pack3ALSommaire du match
211San Jose Barracuda2Hartford Wolf Pack0AWSommaire du match
319Hartford Wolf Pack1San Jose Barracuda2BWSommaire du match
427Hartford Wolf Pack4San Jose Barracuda2BLSommaire du match
535San Jose Barracuda6Hartford Wolf Pack5AWXSommaire du match
643Hartford Wolf Pack5San Jose Barracuda4BLXSommaire du match
751San Jose Barracuda3Hartford Wolf Pack2AWXSommaire du match
857San Jose Barracuda2Tuscon Roadrunners4ALSommaire du match
961San Jose Barracuda2Tuscon Roadrunners6ALSommaire du match
1065Tuscon Roadrunners1San Jose Barracuda4BWSommaire du match
1169Tuscon Roadrunners5San Jose Barracuda3BLSommaire du match
1273San Jose Barracuda0Tuscon Roadrunners1ALSommaire 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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,067,250$ 3,017,250$ 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$




San Jose 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

San Jose 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

San Jose 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

San Jose 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

San Jose 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