Connexion

San Jose Barracuda
GP: 29 | W: 14 | L: 12 | OTL: 3 | P: 31
GF: 101 | GA: 100 | PP%: 40.00% | PK%: 61.73%
DG: Mark Drebert | Morale : 40 | Moyenne d’équipe : 48
Prochains matchs #475 vs Manitoba Moose
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Centre de jeu
Calgary Wranglers
12-11-6, 30pts
5
FINAL
2 San Jose Barracuda
14-12-3, 31pts
Team Stats
L1SéquenceL2
7-4-3Fiche domicile8-6-1
5-7-3Fiche domicile6-6-2
4-4-2Derniers 10 matchs2-7-1
3.31Buts par match 3.48
3.76Buts contre par match 3.45
28.05%Pourcentage en avantage numérique40.00%
63.86%Pourcentage en désavantage numérique61.73%
San Jose Barracuda
14-12-3, 31pts
3
FINAL
5 Colorado Eagles
10-16-4, 24pts
Team Stats
L2SéquenceOTL1
8-6-1Fiche domicile6-7-2
6-6-2Fiche domicile4-9-2
2-7-1Derniers 10 matchs4-4-2
3.48Buts par match 2.97
3.45Buts contre par match 3.77
40.00%Pourcentage en avantage numérique32.88%
61.73%Pourcentage en désavantage numérique55.56%
San Jose Barracuda
14-12-3, 31pts
Jour 74
Manitoba Moose
14-9-6, 34pts
Statistiques d’équipe
L2SéquenceW1
8-6-1Fiche domicile7-3-4
6-6-2Fiche visiteur7-6-2
2-7-110 derniers matchs6-3-1
3.48Buts par match 3.45
3.45Buts contre par match 3.45
40.00%Pourcentage en avantage numérique36.70%
61.73%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Martin KautButs
Martin Kaut
16
Ryan CarpenterPasses
Ryan Carpenter
25
Ryan CarpenterPoints
Ryan Carpenter
35
Plus/Moins
Shakir Mukhamadullin
13
Eetu MakiniemiVictoires
Eetu Makiniemi
10
Martin JonesPourcentage d’arrêts
Martin Jones
0.945

Statistiques d’équipe
Buts pour
101
3.48 GFG
Tirs pour
876
30.21 Avg
Pourcentage en avantage numérique
40.0%
32 GF
Début de zone offensive
36.4%
Buts contre
100
3.45 GAA
Tirs contre
797
27.48 Avg
Pourcentage en désavantage numérique
61.7%%
31 GA
Début de la zone défensive
35.0%
Informations de l'équipe

Directeur généralMark Drebert
EntraîneurDavid Quinn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,784
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure22
Limite contact 45 / 60
Espoirs28


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
1Ryan Carpenter0X99.006730875071719157555755683061562956580331775,000$
2Martin Kaut0X100.005230996365748457305660643036385858570241863,333$
3Tristen Robins (R)0X100.005030966447828654435252593036336656540223797,500$
4Scott Sabourin0X100.005899253285577350404243483043482957470311775,000$
5Brandon Coe (R)0X100.004030944968647746404238333031336448440222850,833$
6Nathan Todd0X100.005130973869454338303839443037422947420281775,000$
7Ozzy Wiesblatt (R)0X100.003430844753556740303735473030327145420223835,833$
8Blade Jenkins (R)0X100.004830993670525632303130423032355633390231775,000$
9Cameron Hillis (R)0X100.002930994643564431453129413032355825380231775,000$
10Keaton Mastrodonato (R)0X100.005530993171403629403030403032355433370231775,000$
11Xavier Cormier (R)0X100.003530994054403330403030413030326020360221775,000$
12Kyle Burroughs0X100.008399715569897053305555773043452940620281775,000$
13Radim Simek0X100.0073477850737867523053528030535229276003122,250,000$
14Nick Cicek (R)0X100.006369756076787453305951653033355442580232835,000$
15Jacob MacDonald0X100.006845885072737955305652633045482951580312775,000$
16Leon Gawanke0X100.004832734673658756304545423033365044500241775,000$
17Shakir Mukhamadullin (R)0X100.003930984968423936304431433030327443430223894,167$
18Zachary Massicotte (R)0X100.006630993087403230302930423031335927420231775,000$
Rayé
1Jacob Peterson0X89.925030877555958474506757553437375136610241842,500$
2Connor Corcoran (R)0X100.004230994265443834303633443031345620410231775,000$
MOYENNE D’ÉQUIPE99.45534187486762634536454252303739504048
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Eetu Makiniemi0100.00577051675954676868525033445178580251867,500$
2Adam Scheel0100.00305230783528292928303032435034360251775,000$
Rayé
1Luke Richardson0100.00305332643031373731303032435028370241775,000$
MOYENNE D’ÉQUIPE100.0039583870413844454237373243504744
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Quinn2525252512550USA571500,000$


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
1William EklundSan Jose SharksLW2625244981805432128378019.53%1759823.001081817570000466041.30%463016001.6402000633
2Ryan CarpenterSan Jose Barracuda (SJS)C29102535-160517056133117.86%1960820.98413177530000500062.94%7151212001.1500000103
3Martin KautSan Jose Barracuda (SJS)RW291613293003145115336313.91%2257819.9565111456000061047.06%34178001.0000000132
4Tristen RobinsSan Jose Barracuda (SJS)C29111425-200393286185012.79%1151417.731454370004311153.26%276229000.9700000331
5Oskar LindblomSan Jose SharksLW28111223280542989294612.36%1450918.213254430006243026.92%26208010.9011000201
6Kyle BurroughsSan Jose Barracuda (SJS)D2431114-443574406530274.62%4262025.86257758000135000%01716000.4500010001
7Radim SimekSan Jose Barracuda (SJS)D2611011-815540484119212.44%3154220.88145648000242000%01519000.4100010001
8Nathan ToddSan Jose Barracuda (SJS)RW275510-20025242181423.81%541215.29022135000000254.55%1114000.4800000020
9Nick CicekSan Jose Barracuda (SJS)D29279-2522046524311194.65%3260820.98235844000038000%01118000.3000021000
10Scott SabourinSan Jose Barracuda (SJS)C29369-5551571314013237.50%935412.2100006000001050.00%12037000.5100201010
11Kevin LabancSan Jose SharksRW5257440119286167.14%211723.56022213000000038.46%1355001.1901000100
12Ozzy WiesblattSan Jose Barracuda (SJS)RW28257-44010281662112.50%1034412.320110200000000%143000.4100000000
13Jacob MacDonaldSan Jose Barracuda (SJS)D29235-24028424019185.00%2258420.16202234000043100%0915000.1700000000
14Shakir MukhamadullinSan Jose Barracuda (SJS)D2504413005168340%934213.710000000006000%005000.2300000000
15Jacob PetersonSan Jose Barracuda (SJS)C31343002592811.11%25819.4801137000050053.23%6232001.3700000010
16Brandon CoeSan Jose Barracuda (SJS)C2911220015212613193.85%630410.50000010001170048.21%5632000.1300000000
17Blade JenkinsSan Jose Barracuda (SJS)LW27112-500203193711.11%733512.4400001000021000%103000.1200000000
18Keaton MastrodonatoSan Jose Barracuda (SJS)C22112-3008932933.33%01265.730000000000000%104000.3200000000
19Marc-Edouard VlasicSan Jose SharksD42022005873228.57%810626.5810121000009000%013000.3800000001
20Leon GawankeSan Jose Barracuda (SJS)D27011312025272710170%1342115.63000018000134000%065000.0500000000
21Cameron HillisSan Jose Barracuda (SJS)C24011-3002124360%11797.47000000000000100.00%105000.1100000000
22Xavier CormierSan Jose Barracuda (SJS)C1000000000000%088.480000000000000%00100000000000
23Zachary MassicotteSan Jose Barracuda (SJS)D14000-3006104320%821515.410000000002000%10500000000000
Statistiques d’équipe totales ou en moyenne51499152251-42214562262186528450311.45%290849416.53325082775320001541613356.52%1364179175010.5914242141313
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Eetu MakiniemiSan Jose Barracuda (SJS)2110610.8932.961136005652131821001712011
2Martin JonesSan Jose Sharks44000.9451.4724501610954001.000340210
3Adam ScheelSan Jose Barracuda (SJS)80620.7775.9537300371661060000817000
Statistiques d’équipe totales ou en moyenne33141230.8763.39175401997964782132929221


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
Adam ScheelSan Jose Barracuda (SJS)G251999-05-01No190 Lbs6 ft4NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Blade JenkinsSan Jose Barracuda (SJS)LW232000-08-11Yes198 Lbs6 ft2NoNoFree AgentNoNo12024-02-25FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Brandon CoeSan Jose Barracuda (SJS)C222001-12-01Yes190 Lbs6 ft4NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm850,833$0$0$No850,833$--------No--------Lien
Cameron HillisSan Jose Barracuda (SJS)C232000-06-24Yes174 Lbs5 ft9NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Connor CorcoranSan Jose Barracuda (SJS)D232000-08-07Yes192 Lbs6 ft2NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Eetu MakiniemiSan Jose Barracuda (SJS)G251999-04-19No184 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm867,500$0$0$No------------------Lien / Lien NHL
Jacob MacDonaldSan Jose Barracuda (SJS)D311993-02-26No204 Lbs6 ft0NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Jacob PetersonSan Jose Barracuda (SJS)C241999-07-19No180 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm842,500$0$0$No------------------Lien / Lien NHL
Keaton MastrodonatoSan Jose Barracuda (SJS)C232000-09-24Yes205 Lbs6 ft0NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------
Kyle BurroughsSan Jose Barracuda (SJS)D281995-07-12No193 Lbs6 ft0NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Leon GawankeSan Jose Barracuda (SJS)D241999-05-31No198 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Luke RichardsonSan Jose Barracuda (SJS)G241999-05-28No170 Lbs6 ft3NoNoFree AgentNoNo12024-03-17FalseFalsePro & Farm775,000$0$0$No------------------
Martin KautSan Jose Barracuda (SJS)RW241999-10-02No190 Lbs6 ft2NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm863,333$0$0$No------------------Lien / Lien NHL
Nathan ToddSan Jose Barracuda (SJS)RW281995-12-02No201 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Nick CicekSan Jose Barracuda (SJS)D232000-05-29Yes201 Lbs6 ft3NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm835,000$0$0$No835,000$--------No--------Lien / Lien NHL
Ozzy WiesblattSan Jose Barracuda (SJS)RW222002-03-09Yes185 Lbs5 ft10NoNoFree AgentNoNo32024-02-05FalseFalsePro & Farm835,833$0$0$No835,833$835,833$-------NoNo-------Lien / Lien NHL
Radim Simek (contrat à 1 volet)San Jose Barracuda (SJS)D311992-09-20No204 Lbs6 ft0NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm2,250,000$1,100,000$29,333$No2,250,000$--------No--------Lien / Lien NHL
Ryan Carpenter (contrat à 1 volet)San Jose Barracuda (SJS)C331991-01-18No198 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Scott SabourinSan Jose Barracuda (SJS)C311992-07-30No207 Lbs6 ft4NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Shakir MukhamadullinSan Jose Barracuda (SJS)D222002-01-10Yes190 Lbs6 ft4NoNoFree AgentNoNo32024-02-05FalseFalsePro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------Lien
Tristen RobinsSan Jose Barracuda (SJS)C222001-11-15Yes176 Lbs5 ft10NoNoFree AgentNoNo32024-02-05FalseFalsePro & Farm797,500$0$0$No797,500$797,500$-------NoNo-------Lien
Xavier CormierSan Jose Barracuda (SJS)C222001-05-30Yes185 Lbs5 ft11NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------
Zachary MassicotteSan Jose Barracuda (SJS)D232001-03-15Yes216 Lbs6 ft4NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.04193 Lbs6 ft11.43864,638$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon CoeRyan CarpenterMartin Kaut40122
2Cameron HillisTristen RobinsNathan Todd30122
3Blade JenkinsScott SabourinOzzy Wiesblatt20122
4Cameron HillisBrandon CoeRyan Carpenter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsZachary Massicotte40122
2Nick CicekJacob MacDonald30122
3Leon GawankeShakir Mukhamadullin20122
4Kyle BurroughsJacob MacDonald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott SabourinRyan CarpenterMartin Kaut60122
2Brandon CoeTristen RobinsNathan Todd40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsLeon Gawanke60122
2Nick CicekJacob MacDonald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan CarpenterMartin Kaut60122
2Tristen RobinsScott Sabourin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsLeon Gawanke60122
2Nick CicekJacob MacDonald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Carpenter60122Kyle BurroughsLeon Gawanke60122
2Tristen Robins40122Nick CicekJacob MacDonald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan CarpenterMartin Kaut60122
2Tristen RobinsScott Sabourin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsShakir Mukhamadullin60122
2Nick CicekJacob MacDonald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tristen RobinsRyan CarpenterMartin KautKyle BurroughsJacob MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tristen RobinsRyan CarpenterMartin KautKyle BurroughsJacob MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tristen Robins, Scott Sabourin, Brandon CoeTristen Robins, Scott SabourinTristen Robins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob MacDonald, Leon Gawanke, Shakir MukhamadullinJacob MacDonaldJacob MacDonald, Leon Gawanke
Tirs de pénalité
Brandon Coe, Scott Sabourin, Ryan Carpenter, Martin Kaut, Tristen Robins
Gardien
#1 : Adam Scheel, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Cameron Hillis, Keaton Mastrodonato, Ryan Carpenter, Martin Kaut, Tristen Robins, Scott Sabourin, Scott Sabourin, Brandon Coe, Nathan Todd, Ozzy Wiesblatt, Blade Jenkins
Lignes de défense personnalisées en prolongation
Kyle Burroughs, Shakir Mukhamadullin, Nick Cicek, Jacob MacDonald, Leon Gawanke


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 Canucks21100000880110000006331010000025-320.50081321001035533532083163391665278509666.67%5340.00%027550654.35%29348760.16%22539956.39%582291559292611304
2Bakersfield Condors22000000826110000003121100000051441.000813210010355336020831633916531615526466.67%5180.00%027550654.35%29348760.16%22539956.39%582291559292611304
3Calgary Wranglers2010010037-41010000025-31000010012-110.25033600103553333208316339163518124122100.00%6350.00%027550654.35%29348760.16%22539956.39%582291559292611304
4Chicago Wolves2010010025-31010000013-21000010012-110.250224001035533592083163391660201358500.00%4175.00%027550654.35%29348760.16%22539956.39%582291559292611304
5Coachella Valley Firebirds211000001082110000008351010000025-320.5001016260010355338220831633916622310456233.33%5420.00%027550654.35%29348760.16%22539956.39%582291559292611304
6Colorado Eagles2110000056-1110000002111010000035-220.50058131010355336120831633916451525304250.00%5340.00%027550654.35%29348760.16%22539956.39%582291559292611304
7Henderson Silver Knights21100000862110000005141010000035-220.500814220010355336520831633916432010589444.44%5260.00%027550654.35%29348760.16%22539956.39%582291559292611304
8Iowa Wild2010100078-11010000024-21000100054120.500714210010355336120831633916581824466233.33%70100.00%027550654.35%29348760.16%22539956.39%582291559292611304
9Manitoba Moose1010000023-11010000023-10000000000000.00023500103553323208316339162453121100.00%9277.78%027550654.35%29348760.16%22539956.39%582291559292611304
10Milwaukee Admirals2110000047-3110000003031010000017-620.50046100110355334120831633916571422354125.00%6350.00%027550654.35%29348760.16%22539956.39%582291559292611304
11Ontario Reign2100010011831000010045-11100000073430.750111627001035533522083163391653228368450.00%4250.00%027550654.35%29348760.16%22539956.39%582291559292611304
12Rockford IceHogs20200000311-81010000028-61010000013-200.000347001035533752083163391666271336500.00%4250.00%027550654.35%29348760.16%22539956.39%582291559292611304
13San Diego Gulls20100010910-11010000046-21000001054120.500910190010355336820831633916653218342150.00%9455.56%027550654.35%29348760.16%22539956.39%582291559292611304
14Texas Stars21001000862110000002111000100065141.00081220001035533572083163391666164387114.29%2150.00%027550654.35%29348760.16%22539956.39%582291559292611304
15Tucson Roadrunners220000001358110000008351100000052341.0001320330010355338620831633916452110476350.00%50100.00%027550654.35%29348760.16%22539956.39%582291559292611304
Total291112023101011001158600100544771436022104753-6310.53410115425511103553387620831633916797294223627803240.00%813161.73%027550654.35%29348760.16%22539956.39%582291559292611304
_Since Last GM Reset291112023101011001158600100544771436022104753-6310.53410115425511103553387620831633916797294223627803240.00%813161.73%027550654.35%29348760.16%22539956.39%582291559292611304
_Vs Conference291112023101011001158600100544771436022104753-6310.53410115425511103553387620831633916797294223627803240.00%813161.73%027550654.35%29348760.16%22539956.39%582291559292611304
_Vs Division1465002105749874200100322487230011025250160.57157851420010355334132083163391637615881316422354.76%391951.28%027550654.35%29348760.16%22539956.39%582291559292611304

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2931L210115425587679729422362711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2911122310101100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
158601005447
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
143622104753
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
803240.00%813161.73%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
208316339161035533
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
27550654.35%29348760.16%22539956.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
582291559292611304


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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
318Colorado Eagles1San Jose Barracuda2WSommaire du match
738Milwaukee Admirals0San Jose Barracuda3WSommaire du match
956San Jose Barracuda5San Diego Gulls4WXXSommaire du match
1169Texas Stars1San Jose Barracuda2WSommaire du match
1385San Jose Barracuda6Texas Stars5WXSommaire du match
16101Bakersfield Condors1San Jose Barracuda3WSommaire du match
18120San Jose Barracuda5Iowa Wild4WXSommaire du match
21136Rockford IceHogs8San Jose Barracuda2LSommaire du match
24152San Jose Barracuda1Milwaukee Admirals7LSommaire du match
26166San Jose Barracuda1Calgary Wranglers2LXSommaire du match
27174San Diego Gulls6San Jose Barracuda4LSommaire du match
31199Abbotsford Canucks3San Jose Barracuda6WSommaire du match
34221San Jose Barracuda7Ontario Reign3WSommaire du match
35229Iowa Wild4San Jose Barracuda2LSommaire du match
38242San Jose Barracuda2Coachella Valley Firebirds5LSommaire du match
40262Coachella Valley Firebirds3San Jose Barracuda8WSommaire du match
44286San Jose Barracuda5Bakersfield Condors1WSommaire du match
46296Henderson Silver Knights1San Jose Barracuda5WSommaire du match
49320San Jose Barracuda1Chicago Wolves2LXSommaire du match
50328Tucson Roadrunners3San Jose Barracuda8WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
54353Manitoba Moose3San Jose Barracuda2LSommaire du match
56369San Jose Barracuda5Tucson Roadrunners2WSommaire du match
59386Chicago Wolves3San Jose Barracuda1LSommaire du match
60396San Jose Barracuda2Abbotsford Canucks5LSommaire du match
62404San Jose Barracuda1Rockford IceHogs3LSommaire du match
64414San Jose Barracuda3Henderson Silver Knights5LSommaire du match
66427Ontario Reign5San Jose Barracuda4LXSommaire du match
69449Calgary Wranglers5San Jose Barracuda2LSommaire du match
71458San Jose Barracuda3Colorado Eagles5LSommaire du match
74475San Jose Barracuda-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,72814,027
Assistance PCT92.43%93.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2784 - 92.79% 117,301$1,759,518$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,186,956$ 1,686,166$ 1,686,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,693,695$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 29,543$ 29,543$




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