Connexion

San Jose Barracuda
GP: 72 | W: 44 | L: 23 | OTL: 5 | P: 93
GF: 223 | GA: 171 | PP%: 37.70% | PK%: 70.22%
DG: Lars Carlsson | Morale : 64 | Moyenne d’équipe : 59
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Centre de jeu
Chicago Wolves
32-31-9, 73pts
0
FINAL
2 San Jose Barracuda
44-23-5, 93pts
Team Stats
L4SéquenceW2
15-17-4Fiche domicile21-12-3
17-14-5Fiche domicile23-11-2
4-6-0Derniers 10 matchs7-3-0
1.85Buts par match 3.10
2.22Buts contre par match 2.38
31.43%Pourcentage en avantage numérique37.70%
69.53%Pourcentage en désavantage numérique70.22%
San Jose Barracuda
44-23-5, 93pts
2
FINAL
1 Grand Rapids Griffins
33-31-8, 74pts
Team Stats
W2SéquenceL1
21-12-3Fiche domicile19-14-3
23-11-2Fiche domicile14-17-5
7-3-0Derniers 10 matchs3-7-0
3.10Buts par match 1.94
2.38Buts contre par match 2.24
37.70%Pourcentage en avantage numérique38.40%
70.22%Pourcentage en désavantage numérique62.50%
Meneurs d'équipe
Matthew PhillipsButs
Matthew Phillips
35
Matthew PhillipsPasses
Matthew Phillips
39
Matthew PhillipsPoints
Matthew Phillips
74
Lassi ThomsonPlus/Moins
Lassi Thomson
25
Mads SogaardVictoires
Mads Sogaard
35
Mads SogaardPourcentage d’arrêts
Mads Sogaard
0.923

Statistiques d’équipe
Buts pour
223
3.10 GFG
Tirs pour
2362
32.81 Avg
Pourcentage en avantage numérique
37.7%
72 GF
Début de zone offensive
38.2%
Buts contre
171
2.38 GAA
Tirs contre
2073
28.79 Avg
Pourcentage en désavantage numérique
70.2%%
53 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralLars Carlsson
EntraîneurDavid Quinn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1Matt Tennyson
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,052
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs26


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
1Logan Cooley (R)0X100.006042928263778276718571682545447038680191750,000$
2Zach Benson (R)0XX100.006845907863697376257371652545447636650181750,000$
3Matthew Phillips0XX100.006553946454808374816976596747476580640251750,000$
4Jack Studnicka0XX100.007843918368576961556161712558586174630242762,500$
5Roby Jarventie (R)0X100.008079767182697163505766656247476180630213894,167$
6Alex Steeves (R)0XXX100.0074678569707781665066646257474761806202421,042,708$
7Thomas Bordeleau (R)0X100.007263887366747763785766606148486180610212916,667$
8Ethen Frank (R)0X100.007567886668666767826172646647476380610251937,500$
9Cole Reinhardt (R)0X100.007374606677798461506157615347475781600232813,333$
10Angus Crookshank (R)0X100.007266887069575661505564626247476080590242838,333$
11Daniil Gushchin (R)0X100.006658906960747859505659575747475980580213828,333$
12Justin Danforth0XX100.007565837365515358655265624252524880580302975,000$
13Viktor Lodin (R)0XX100.007375666978484659755658605547475681580241830,000$
14Nick Cicek (R)0X100.008387706479656957255947792546466023630232835,000$
15Kevin Connauton0X100.007776677976636752254143683969695183610332762,500$
16Brogan Rafferty0X100.007471826371798558255545644447475581600281750,000$
17Lassi Thomson (R)0X100.007570837573717556255147644448485480600232863,333$
18Joseph Cecconi0X100.007876836376697546253640613947474979570261750,000$
Rayé
1Taylor Ward0XX100.007876816576596154505351644844445819570251842,500$
2Chase Wouters (R)0XX100.007270766870687352655247604544445619560231750,000$
3Collin Adams0X100.007261996761545455505056615344445919550251950,000$
4Brad Lambert (R)0XX100.007368836770535448634151585047475368540201950,000$
5Bobby Trivigno0XXX100.006657886357555557505851584844445720530242925,000$
6Reece Newkirk (R)0X100.0066637464634442526553465744444452205202221,035,416$
7Alexander Kisakov (R)0X100.0065568763566468495041515648444454205102131,073,958$
8Peetro Seppala (R)0X100.007472756874738046253739613746465072570232855,000$
9Daniil Chayka (R)0X100.007871966673657145253439613847474970560211847,500$
10Jonathan Aspirot0X100.007174636074596251254245594344445319540241768,333$
MOYENNE D’ÉQUIPE100.00736682696965685849545562474747575959
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
1Mads Sogaard (R)0100.00625856866756726369607548475985630232925,000$
2Leevi Merilainen (R)0100.00485771684693455090814545456261620213820,000$
Rayé
1Matthew Murray (R)0100.00554050605955606360603044445673550251750,000$
2Kevin Mandolese (R)0100.00474556854747505348483044444822510231835,000$
MOYENNE D’ÉQUIPE100.0053505875556357576762454545566058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn60405070998050USA581500,000$


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
1Matthew PhillipsSan Jose Barracuda (SJS)C/RW7235397412925861192478114014.17%25137519.102323465014500041109156.90%13345219011.0835113824
2Alex SteevesSan Jose Barracuda (SJS)C/LW/RW7227396618115751051082076612413.04%22120716.7791827191210004916246.58%2194419111.0902357453
3Jack StudnickaSan Jose Barracuda (SJS)C/RW74243054513599902175511811.06%22128517.37119202611601151093351.22%1646136100.8413001372
4Ethen FrankSan Jose Barracuda (SJS)C72242852211008094921916113712.57%31120216.7038119711016472160.49%8914122010.8712268334
5Pavel DorofeyevSan Jose SharksLW/RW48183250-4405845215491468.37%2586618.06818261587000034030.77%525717011.1525000524
6Roby JarventieSan Jose Barracuda (SJS)LW721729465250170117751493610311.41%32126917.63511161511611210993350.77%653929000.7204101014122
7Thomas BordeleauSan Jose Barracuda (SJS)C72202242108450102921825310410.99%20112515.633365390000113254.50%5673617110.7501424324
8Cole ReinhardtSan Jose Barracuda (SJS)LW721624401723014014363141358011.35%28118816.514913111050003735243.28%672319000.670012214231
9Angus CrookshankSan Jose Barracuda (SJS)LW7291524135535785612745807.09%2185911.9400001000001053.33%302615000.5601124036
10Kevin ConnautonSan Jose Barracuda (SJS)D724182210523305120998238384.88%92168623.42461081100110101200%01857000.2600131929031
11Justin DanforthSan Jose Barracuda (SJS)C/RW72101020168260846014456796.94%2994713.16101117000000059.38%323716000.4200525105
12Viktor LodinSan Jose Barracuda (SJS)C/LW7210919-1162100915512143818.26%1682411.4400001000002055.56%342436000.4601839122
13Lassi ThomsonSan Jose Barracuda (SJS)D72316192518412069956131254.92%62148520.6325741230003127100%01751000.2600987000
14Daniil GushchinSan Jose Barracuda (SJS)LW7261117-32115604112538694.80%1678810.951011140000300326.09%233221000.4301003110
15Logan CooleySan Jose Barracuda (SJS)C11791631010171454162212.96%325723.402134120110222150.79%189168001.2400011131
16Brogan RaffertySan Jose Barracuda (SJS)D721141524848089885119241.96%54137919.1612331240002118000%0935000.22002311102
17Zach BensonSan Jose Barracuda (SJS)C/LW115611320191033102015.15%320118.321232131014242037.50%8101001.0900000211
18Peetro SeppalaSan Jose Barracuda (SJS)D501910-522315562645916301.69%90122724.54123386000169000%0938000.160012613011
19Daniil ChaykaSan Jose Barracuda (SJS)D61010105473542554811150%4397916.05000323000016000%0331000.2000232010
20Joseph CecconiSan Jose Barracuda (SJS)D7208831107075634313180%48120316.71000011011046000%0230000.1300653000
21Brad LambertSan Jose Barracuda (SJS)C/RW61336-3574558473811197.89%1366010.8200002000000030.77%13212000.1800432000
22Nick CicekSan Jose Barracuda (SJS)D221458212904225281463.57%1748522.09112628011232000%0814000.2100567000
23Alexander KisakovSan Jose Barracuda (SJS)LW12000000000000%040.390000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne13582413856261712597166517101456256379714789.40%7122251016.58801181981851376369441136451855.18%3996585513350.567259987147364143
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
1Mads SogaardSan Jose Barracuda (SJS)57351650.9232.2434060312716461017210.727225616775
2Leevi MerilainenSan Jose Barracuda (SJS)169700.9082.51934203942520701001611200
Statistiques d’équipe totales ou en moyenne73442350.9202.294341231662071122422227227975


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 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
Alex SteevesSan Jose Barracuda (SJS)C/LW/RW241999-12-31Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,042,708$0$0$No1,042,708$--------No--------Lien / Lien NHL
Alexander KisakovSan Jose Barracuda (SJS)LW212002-12-31Yes150 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm1,073,958$0$0$No1,073,958$1,073,958$-------NoNo-------Lien
Angus CrookshankSan Jose Barracuda (SJS)LW241999-12-31Yes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm838,333$0$0$No838,333$--------No--------
Bobby TrivignoSan Jose Barracuda (SJS)C/LW/RW241999-12-31No161 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien
Brad LambertSan Jose Barracuda (SJS)C/RW202003-12-31Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Brogan RaffertySan Jose Barracuda (SJS)D281995-12-31No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Chase WoutersSan Jose Barracuda (SJS)C/LW232000-12-31Yes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Cole ReinhardtSan Jose Barracuda (SJS)LW232000-12-31Yes203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm813,333$0$0$No813,333$--------No--------Lien / Lien NHL
Collin AdamsSan Jose Barracuda (SJS)LW251998-12-31No172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien / Lien NHL
Daniil ChaykaSan Jose Barracuda (SJS)D212002-12-31Yes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm847,500$0$0$No------------------
Daniil GushchinSan Jose Barracuda (SJS)LW212002-12-31Yes165 Lbs5 ft8NoNoN/ANoNo3FalseFalsePro & Farm828,333$0$0$No828,333$828,333$-------NoNo-------
Ethen FrankSan Jose Barracuda (SJS)C251998-12-31Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Jack StudnickaSan Jose Barracuda (SJS)C/RW241999-12-31No171 Lbs6 ft1NoNoTrade2024-04-10NoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Jonathan AspirotSan Jose Barracuda (SJS)D241999-12-31No209 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm768,333$0$0$No------------------Lien / Lien NHL
Joseph CecconiSan Jose Barracuda (SJS)D261997-12-31No209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Justin DanforthSan Jose Barracuda (SJS)C/RW301993-12-31No185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm975,000$0$0$No975,000$--------No--------Lien / Lien NHL
Kevin ConnautonSan Jose Barracuda (SJS)D331990-12-31No205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Kevin MandoleseSan Jose Barracuda (SJS)G232000-12-31Yes200 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm835,000$0$0$No------------------Lien / Lien NHL
Lassi ThomsonSan Jose Barracuda (SJS)D232000-12-31Yes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
Leevi MerilainenSan Jose Barracuda (SJS)G212002-12-31Yes175 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm820,000$0$0$No820,000$820,000$-------NoNo-------
Logan CooleySan Jose Barracuda (SJS)C192004-12-31 14:03:59Yes174 Lbs5 ft10NoNoDraftNoNo12024-02-04FalseFalsePro & Farm750,000$0$0$No------------------
Mads SogaardSan Jose Barracuda (SJS)G232000-12-31Yes199 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Matthew MurraySan Jose Barracuda (SJS)G251998-12-31Yes170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Matthew PhillipsSan Jose Barracuda (SJS)C/RW251998-12-31No150 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nick CicekSan Jose Barracuda (SJS)D232000-12-31Yes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm835,000$0$0$No835,000$--------No--------Lien / Lien NHL
Peetro SeppalaSan Jose Barracuda (SJS)D232000-12-31Yes191 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm855,000$0$0$No855,000$--------No--------Lien
Reece NewkirkSan Jose Barracuda (SJS)C222001-12-31Yes170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,035,416$0$0$No1,035,416$--------No--------Lien / Lien NHL
Roby JarventieSan Jose Barracuda (SJS)LW212002-12-31Yes213 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------Lien / Lien NHL
Taylor WardSan Jose Barracuda (SJS)C/LW251998-12-31No207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No------------------Lien / Lien NHL
Thomas BordeleauSan Jose Barracuda (SJS)C212002-12-31Yes175 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm916,667$0$0$No916,667$--------No--------
Viktor LodinSan Jose Barracuda (SJS)C/LW241999-12-31Yes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm830,000$0$0$No------------------Lien / Lien NHL
Zach BensonSan Jose Barracuda (SJS)C/LW182005-12-31 14:10:59Yes163 Lbs5 ft9NoNoDraftNoNo12024-02-04FalseFalsePro & Farm750,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3223.50185 Lbs6 ft01.66855,534$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonLogan CooleyMatthew Phillips30122
2Roby JarventieJack StudnickaAlex Steeves27122
3Cole ReinhardtEthen FrankJustin Danforth23122
4Angus CrookshankThomas BordeleauLogan Cooley20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekKevin Connauton30122
2Brogan RaffertyLassi Thomson27122
3Joseph CecconiThomas Bordeleau23122
4Nick CicekKevin Connauton20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonLogan CooleyMatthew Phillips50122
2Roby JarventieJack StudnickaAlex Steeves50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekKevin Connauton50122
2Brogan RaffertyLassi Thomson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyZach Benson50122
2Matthew PhillipsRoby Jarventie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekKevin Connauton50122
2Brogan RaffertyLassi Thomson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Cooley50122Nick CicekKevin Connauton50122
2Zach Benson50122Brogan RaffertyLassi Thomson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyZach Benson50122
2Matthew PhillipsRoby Jarventie50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick CicekKevin Connauton50122
2Brogan RaffertyLassi Thomson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach BensonLogan CooleyMatthew PhillipsNick CicekKevin Connauton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach BensonLogan CooleyMatthew PhillipsNick CicekKevin Connauton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Lodin, Daniil Gushchin, Ethen FrankViktor Lodin, Daniil GushchinEthen Frank
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cecconi, Brogan Rafferty, Lassi ThomsonJoseph CecconiBrogan Rafferty, Lassi Thomson
Tirs de pénalité
Logan Cooley, Zach Benson, Matthew Phillips, Roby Jarventie, Jack Studnicka
Gardien
#1 : Mads Sogaard, #2 : Leevi Merilainen


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
1Abbotsford Canucks3110000178-12010000146-21100000032130.50071219004683926986948518093092332008311218.18%10550.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
2Bakersfield Condors330000001037110000002022200000083561.00010152501468392692694851809306622697310440.00%20100.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
3Belleville Senators210001009631000010045-11100000051430.750915240046839266169485180930802088275480.00%9366.67%0850149756.78%755138754.43%563103254.55%147878414347041432699
4Bridgeport Islanders220000001138110000007251100000041341.0001117280046839267169485180930401335378337.50%000%0850149756.78%755138754.43%563103254.55%147878414347041432699
5Calgary Wranglers321000001082110000005412110000054140.667101828004683926946948518093011135104599444.44%7271.43%0850149756.78%755138754.43%563103254.55%147878414347041432699
6Charlotte Checkers22000000725110000004131100000031241.00071017004683926636948518093044201026733100.00%6183.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
7Chicago Wolves22000000633110000002021100000043141.000610160146839266269485180930441662373133.33%6183.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
8Cleveland Monsters2110000045-1110000003121010000014-320.50047110046839267669485180930681524473133.33%7357.14%0850149756.78%755138754.43%563103254.55%147878414347041432699
9Coachella Valley Firebirds43100000161062200000010642110000064260.750162440004683926137694851809301062824410115640.00%17476.47%2850149756.78%755138754.43%563103254.55%147878414347041432699
10Colorado Eagles3120000089-11010000013-22110000076120.3338162410468392679694851809306527657510550.00%5260.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
11Grand Rapids Griffins2110000024-21010000003-31100000021120.500224004683926586948518093033547435240.00%6266.67%0850149756.78%755138754.43%563103254.55%147878414347041432699
12Hartford Wolf Pack22000000743110000003211100000042241.000713200046839267269485180930511930454125.00%5260.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
13Henderson Silver Knights3110000179-22110000045-11000000134-130.500712190046839261026948518093096337882500.00%9277.78%0850149756.78%755138754.43%563103254.55%147878414347041432699
14Hershey Bears2020000059-41010000024-21010000035-200.00057120046839267269485180930611898373133.33%9544.44%0850149756.78%755138754.43%563103254.55%147878414347041432699
15Iowa Wild21000001871110000004221000000145-130.750812200046839266869485180930682655357342.86%000%0850149756.78%755138754.43%563103254.55%147878414347041432699
16Laval Rocket22000000725110000003121100000041341.000713200046839268269485180930572323485120.00%40100.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
17Lehigh Valley Phantoms2010010046-21000010034-11010000012-110.25047110046839267669485180930662578353133.33%4175.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
18Manitoba Moose22000000734110000004221100000031241.000713200046839265769485180930702871347228.57%3233.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
19Milwaukee Admirals2110000056-11010000035-21100000021120.500581300468392657694851809307219104505240.00%7185.71%0850149756.78%755138754.43%563103254.55%147878414347041432699
20Ontario Reign3120000078-1211000006511010000013-220.333791600468392611469485180930682273588225.00%9633.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
21Providence Bruins211000006511010000013-21100000052320.50069150046839266569485180930592076405240.00%3233.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
22Rochester Americans2020000059-41010000024-21010000035-200.000510150046839267469485180930802389452150.00%7185.71%1850149756.78%755138754.43%563103254.55%147878414347041432699
23Rockford IceHogs21000010954110000006331000001032141.000913220046839267669485180930582984537342.86%2150.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
24San Diego Gulls330000001147110000004222200000072561.000111930004683926916948518093010338204848450.00%70100.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
25Springfield Thunderbirds21100000550110000004221010000013-220.50058131046839266269485180930341679466233.33%2150.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
26Syracuse Crunch22000000716110000002111100000050541.000713200146839266369485180930451564496233.33%20100.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
27Texas Stars2010001046-21010000014-31000001032120.5004590046839266169485180930501775486116.67%50100.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
28Toronto Marlies22000000844110000004221100000042241.000815230046839265269485180930692040402150.00%5180.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
29Tucson Roadrunners31200000972211000007431010000023-120.33391221004683926105694851809309329827311218.18%6183.33%0850149756.78%755138754.43%563103254.55%147878414347041432699
30Utica Comets21100000651110000004221010000023-120.500610160046839266269485180930652545394250.00%5260.00%0850149756.78%755138754.43%563103254.55%147878414347041432699
31Wilkes-Barre Scranton Penguins211000006511010000023-11100000042220.50069150046839266069485180930591698375480.00%9277.78%0850149756.78%755138754.43%563103254.55%147878414347041432699
Total7242230022322317152362112002011119120362111000221128032930.6462233635862346839262362694851809302073695258616271917237.70%1785370.22%3850149756.78%755138754.43%563103254.55%147878414347041432699
_Since Last GM Reset7242230022322317152362112002011119120362111000221128032930.6462233635862346839262362694851809302073695258616271917237.70%1785370.22%3850149756.78%755138754.43%563103254.55%147878414347041432699
_Vs Conference39231200022119922719127000005948112011500022604416520.667119188307124683926125369485180930110337414179051164135.34%912473.63%2850149756.78%755138754.43%563103254.55%147878414347041432699
_Vs Division18128000015548796400000302559640000125232250.694558714220468392656569485180930510191615414592033.90%30873.33%0850149756.78%755138754.43%563103254.55%147878414347041432699

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7293W2223363586236220736952586162723
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7242230223223171
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362112020111191
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
362111002211280
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1917237.70%1785370.22%3
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
694851809304683926
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
850149756.78%755138754.43%563103254.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
147878414347041432699


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
11San Jose Barracuda4Colorado Eagles1WSommaire du match
322Ontario Reign4San Jose Barracuda3LSommaire du match
542Henderson Silver Knights4San Jose Barracuda1LSommaire du match
965Coachella Valley Firebirds2San Jose Barracuda4WSommaire du match
1079San Jose Barracuda2Calgary Wranglers3LSommaire du match
1298San Jose Barracuda4Coachella Valley Firebirds1WSommaire du match
15114Abbotsford Canucks3San Jose Barracuda2LSommaire du match
17126San Jose Barracuda4Bakersfield Condors2WSommaire du match
19143San Jose Barracuda5San Diego Gulls1WSommaire du match
20155Tucson Roadrunners2San Jose Barracuda1LSommaire du match
23173Hartford Wolf Pack2San Jose Barracuda3WSommaire du match
25189San Jose Barracuda2Milwaukee Admirals1WSommaire du match
27207Hershey Bears4San Jose Barracuda2LSommaire du match
29225San Jose Barracuda3Colorado Eagles5LSommaire du match
31238San Jose Barracuda3Manitoba Moose1WSommaire du match
32250Coachella Valley Firebirds4San Jose Barracuda6WSommaire du match
35269Syracuse Crunch1San Jose Barracuda2WSommaire du match
37289San Jose Barracuda4Chicago Wolves3WSommaire du match
38300Abbotsford Canucks3San Jose Barracuda2LXXSommaire du match
40316San Jose Barracuda3Henderson Silver Knights4LXXSommaire du match
43334Henderson Silver Knights1San Jose Barracuda3WSommaire du match
45351San Jose Barracuda4Iowa Wild5LXXSommaire du match
46365Milwaukee Admirals5San Jose Barracuda3LSommaire du match
49386Grand Rapids Griffins3San Jose Barracuda0LSommaire du match
51405San Jose Barracuda3Rockford IceHogs2WXXSommaire du match
52418San Jose Barracuda1Ontario Reign3LSommaire du match
54432Texas Stars4San Jose Barracuda1LSommaire du match
57453San Jose Barracuda2Utica Comets3LSommaire du match
58462Tucson Roadrunners2San Jose Barracuda6WSommaire du match
61485San Diego Gulls2San Jose Barracuda4WSommaire du match
63495San Jose Barracuda3Texas Stars2WXXSommaire du match
66517San Jose Barracuda3Hershey Bears5LSommaire du match
67527Rockford IceHogs3San Jose Barracuda6WSommaire du match
70551Laval Rocket1San Jose Barracuda3WSommaire du match
72569San Jose Barracuda3Charlotte Checkers1WSommaire du match
74582Iowa Wild2San Jose Barracuda4WSommaire du match
76596San Jose Barracuda1Lehigh Valley Phantoms2LSommaire du match
78611Lehigh Valley Phantoms4San Jose Barracuda3LXSommaire du match
80633San Jose Barracuda4Hartford Wolf Pack2WSommaire du match
81645San Jose Barracuda4Wilkes-Barre Scranton Penguins2WSommaire du match
83656Belleville Senators5San Jose Barracuda4LXSommaire du match
85676Bridgeport Islanders2San Jose Barracuda7WSommaire du match
86693San Jose Barracuda4Toronto Marlies2WSommaire du match
88705San Jose Barracuda2San Diego Gulls1WSommaire du match
90718Charlotte Checkers1San Jose Barracuda4WSommaire du match
92736San Jose Barracuda3Abbotsford Canucks2WSommaire du match
93749San Jose Barracuda1Cleveland Monsters4LSommaire du match
94761Cleveland Monsters1San Jose Barracuda3WSommaire du match
97783Calgary Wranglers4San Jose Barracuda5WSommaire du match
99798San Jose Barracuda3Calgary Wranglers1WSommaire du match
101812Utica Comets2San Jose Barracuda4WSommaire du match
103832San Jose Barracuda2Tucson Roadrunners3LSommaire du match
104847Providence Bruins3San Jose Barracuda1LSommaire du match
107863San Jose Barracuda5Syracuse Crunch0WSommaire du match
109879Manitoba Moose2San Jose Barracuda4WSommaire du match
112905Rochester Americans4San Jose Barracuda2LSommaire du match
114925San Jose Barracuda5Providence Bruins2WSommaire du match
115936Bakersfield Condors0San Jose Barracuda2WSommaire du match
117949San Jose Barracuda1Springfield Thunderbirds3LSommaire du match
119964Toronto Marlies2San Jose Barracuda4WSommaire du match
121982San Jose Barracuda4Bakersfield Condors1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123998Colorado Eagles3San Jose Barracuda1LSommaire du match
1241010San Jose Barracuda3Rochester Americans5LSommaire du match
1271030Wilkes-Barre Scranton Penguins3San Jose Barracuda2LSommaire du match
1291047San Jose Barracuda4Laval Rocket1WSommaire du match
1311062Ontario Reign1San Jose Barracuda3WSommaire du match
1331084San Jose Barracuda5Belleville Senators1WSommaire du match
1351095Springfield Thunderbirds2San Jose Barracuda4WSommaire du match
1361107San Jose Barracuda4Bridgeport Islanders1WSommaire du match
1381121San Jose Barracuda2Coachella Valley Firebirds3LSommaire du match
1401132Chicago Wolves0San Jose Barracuda2WSommaire du match
1411142San Jose Barracuda2Grand Rapids Griffins1WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5525
Assistance49,70024,170
Assistance PCT69.03%67.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2052 - 68.40% 92,715$3,337,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,168,769$ 2,737,708$ 2,737,708$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,668,756$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,329$ 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