Connexion

San Jose Barracuda
GP: 32 | W: 15 | L: 15 | OTL: 2 | P: 32
GF: 109 | GA: 107 | PP%: 20.24% | PK%: 74.42%
DG: Felix Paille | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #466 vs Iowa Wild
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Centre de jeu
San Jose Barracuda
15-15-2, 32pts
1
FINAL
4 Abbotsford's Canucks
22-9-1, 45pts
Team Stats
W1SéquenceW6
7-9-1Fiche domicile13-2-0
8-6-1Fiche domicile9-7-1
5-5-0Derniers 10 matchs8-2-0
3.41Buts par match 3.75
3.34Buts contre par match 2.94
20.24%Pourcentage en avantage numérique13.64%
74.42%Pourcentage en désavantage numérique82.76%
San Jose Barracuda
15-15-2, 32pts
4
FINAL
1 Hershey Bears
13-18-2, 28pts
Team Stats
W1SéquenceL4
7-9-1Fiche domicile6-10-1
8-6-1Fiche domicile7-8-1
5-5-0Derniers 10 matchs3-7-0
3.41Buts par match 2.61
3.34Buts contre par match 3.15
20.24%Pourcentage en avantage numérique17.78%
74.42%Pourcentage en désavantage numérique80.82%
San Jose Barracuda
15-15-2, 32pts
Jour 79
Iowa Wild
16-17-2, 34pts
Statistiques d’équipe
W1SéquenceL1
7-9-1Fiche domicile9-8-1
8-6-1Fiche visiteur7-9-1
5-5-010 derniers matchs4-5-1
3.41Buts par match 3.11
3.34Buts contre par match 3.11
20.24%Pourcentage en avantage numérique35.16%
74.42%Pourcentage en désavantage numérique78.18%
Toronto Marlies
12-14-7, 31pts
Jour 80
San Jose Barracuda
15-15-2, 32pts
Statistiques d’équipe
W4SéquenceW1
6-8-4Fiche domicile7-9-1
6-6-3Fiche visiteur8-6-1
5-4-110 derniers matchs5-5-0
3.03Buts par match 3.41
3.21Buts contre par match 3.41
15.38%Pourcentage en avantage numérique20.24%
80.31%Pourcentage en désavantage numérique74.42%
Grand Rapids Griffins
16-12-3, 35pts
Jour 84
San Jose Barracuda
15-15-2, 32pts
Statistiques d’équipe
SOL1SéquenceW1
7-8-2Fiche domicile7-9-1
9-4-1Fiche visiteur8-6-1
5-4-110 derniers matchs5-5-0
3.00Buts par match 3.41
2.97Buts contre par match 3.41
26.53%Pourcentage en avantage numérique20.24%
74.51%Pourcentage en désavantage numérique74.42%
Meneurs d'équipe
Buts
Zach Benson
22
Passes
Oliver Moore
24
Points
Zach Benson
36
Plus/Moins
Matthew Peca
12
Victoires
Trey Augustine
8
Pourcentage d’arrêts
Magnus Hellberg
0.933

Statistiques d’équipe
Buts pour
109
3.41 GFG
Tirs pour
1240
38.75 Avg
Pourcentage en avantage numérique
20.2%
17 GF
Début de zone offensive
38.8%
Buts contre
107
3.34 GAA
Tirs contre
1272
39.75 Avg
Pourcentage en désavantage numérique
74.4%%
22 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralFelix Paille
EntraîneurScott Stevens
DivisionWestern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance10,000
Billets de saison4,000


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 75
Espoirs1


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Zach Benson (R)XX99.006628778671727281797473727341468299680193925,000$
2Oliver Moore (R)X99.957133778277767673797172727241558299680193925,000$
3Anthony RichardX99.006429848374838369876469667068695199670271725,000$
4Rudolf BalcersX100.00552086847375817452697462707360489967N02731,499,999$
5Quentin Musty (R)X99.007438707776717178607370677038468199660193650,000$
6Matthew PecaX100.006326858668858477877359565565662299660301950,000$
7Wyatt Johnston (R)X99.007137737772676770786868696849697999660212650,000$
8Jared Davidson (R)X100.007034747772696975726971647152645999650223500,000$
9Ryan Walsh (R)X100.006934727672686870716869626942495499630213500,000$
10Yegor Serdyuk (R)X100.007034747871656569506869626858565299630232650,000$
11Filip Wiberg (R)XX100.00734270688269696472636964695354599962N02231,499,999$
12Jesperi KotkaniemiX100.005623878376737556854757696559578299620241510,000$
13Michael McCarronXX100.007850707786768346864447706371885599610301600,000$
14Logan Mailloux (R)X100.007938768080828271637273717343526099690212925,000$
15Tomas KudelkaX100.00386998775787870557066705999991996803711,499,999$
16Luke Hughes (R)X100.0074337785778081725373717068404782996802121,000,000$
17Chad KrysX100.007136778775858564516648615055705799660271725,000$
18Jeremy LauzonX100.007138798176798352544956736454565599660283700,000$
19Libor HajekX100.006729817979757959546252725563546199660261600,000$
20Adam Engstrom (R)X100.006835797775797967567070676948526699660202500,000$
21Markus PhillipsX100.006027877775858556575756666470736099650251550,000$
22Oliver KylingtonX100.005217918573798353545151686071685399640281550,000$
Rayé
MOYENNE D’ÉQUIPE99.77663179817576776766656467665761599966
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
1Magnus Hellberg 100.008287838093929387877070617351996903221,499,999$
2Samuel Hlavaj (R)100.00787980867876767676727055536599620233660,000$
3Trey Augustine (R)100.00758075737373737373757347668299600193650,000$
Rayé
MOYENNE D’ÉQUIPE100.0078827980818081797972715464669964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Stevens77899672999971CAN604250,000$


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
1Zach BensonSan Jose Barracuda (SJS)C/LW32221436-131004239170459212.94%2563119.74551020750002443244.19%433820021.1400000521
2Oliver MooreSan Jose Barracuda (SJS)C3262430-11120474711734675.13%2661719.30371011740004410050.85%883228000.9700000111
3Quentin MustySan Jose Barracuda (SJS)LW31919288320433312835737.03%1452717.0214513700000122050.00%261918011.0600000112
4Matthew PecaSan Jose Barracuda (SJS)C3261925122016258529507.06%1145314.17123736000001058.33%1202310001.1000000020
5Ryan WalshSan Jose Barracuda (SJS)C3215823760503869133221.74%946914.68213460000000449.60%37944100.9800000212
6Anthony RichardSan Jose Barracuda (SJS)C32111223-140333677256814.29%2052216.340331281012750054.42%226207000.8800000004
7Wyatt JohnstonSan Jose Barracuda (SJS)C32810182120484069274511.59%2051616.15112659000052048.42%38079000.7000000020
8Jared DavidsonSan Jose Barracuda (SJS)C28611171010027267321428.22%1037513.4300000000002153.33%15117000.9000000012
9Yegor SerdyukSan Jose Barracuda (SJS)RW323121574033197019424.29%1239412.3400011000000045.00%20188100.7600000010
10Rudolf BalcersSan Jose Barracuda (SJS)LW278614-14019168530489.41%936513.5300002000043131.25%16151000.7700000201
11Luke HughesSan Jose Barracuda (SJS)D323912-64025325424225.56%3860418.90235128800001110%01221000.4001000000
12Logan MaillouxSan Jose Barracuda (SJS)D2911011714035293511122.86%3150817.5212366600000000%01224000.4300000001
13Adam EngstromSan Jose Barracuda (SJS)D322911319514152814197.14%2649515.4811234800009000%0418000.4400000000
14Tomas KudelkaSan Jose Barracuda (SJS)D320997002263810140%3153416.71011243011126000%01316000.3400000000
15Jeremy LauzonSan Jose Barracuda (SJS)D3217861202430278153.70%4758518.30000018000271000%0229000.2700000000
16Filip WibergSan Jose Barracuda (SJS)C/RW26437-180241733132712.12%92419.2800001000001060.00%1035000.5800000000
17Libor HajekSan Jose Barracuda (SJS)D32257-1201730259138.00%4049215.4000000000075000%0120000.2800000000
18Michael McCarronSan Jose Barracuda (SJS)C/RW32134360262715486.67%53119.75000040112780064.38%7359000.2600000000
19Oliver KylingtonSan Jose Barracuda (SJS)D29022520097330%162578.8900000000024000%008000.1600000000
20Markus PhillipsSan Jose Barracuda (SJS)D26011-300177340%81294.9800000000031000%012000.1500000000
21Chad KrysSan Jose Barracuda (SJS)D22000220754140%92079.4400000000024000%01100000000000
22Jesperi KotkaniemiSan Jose Barracuda (SJS)C7000-200276020%2699.8700000000030048.78%412100000000000
Statistiques d’équipe totales ou en moyenne64110819330140165553555312223787028.84%418931414.53173047866801231353015951.12%2232233246230.6501000111114
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
1Trey AugustineSan Jose Barracuda (SJS)168710.9103.5991920556093191000161021
2Magnus Hellberg San Jose Barracuda (SJS)137510.9332.6178220345112090100133430
3Samuel HlavajSan Jose Barracuda (SJS)50300.8934.402182016150670100328000
Statistiques d’équipe totales ou en moyenne34151520.9173.2819196010512705951203232451


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 Salaire restantPlafond 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 EngstromSan Jose Barracuda (SJS)D201994-09-09Yes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,000$298,429$0$0$No500,000$--------No--------
Anthony RichardSan Jose Barracuda (SJS)C271987-09-29No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm725,000$432,723$0$0$No------------------
Chad KrysSan Jose Barracuda (SJS)D271987-09-29No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm725,000$432,723$0$0$No------------------
Filip WibergSan Jose Barracuda (SJS)C/RW221992-07-23Yes231 Lbs6 ft3YesNoFree AgentNoNo32024-10-07Pro & Farm1,499,999$895,287$0$0$No1,499,999$1,499,999$-------YesYes-------
Jared DavidsonSan Jose Barracuda (SJS)C221992-07-23Yes183 Lbs6 ft0NoNoProspectNoNo32024-07-22Pro & Farm500,000$298,429$0$0$No500,000$500,000$-------NoNo-------
Jeremy LauzonSan Jose Barracuda (SJS)D281986-10-20No204 Lbs6 ft2NoNoFree AgentNoNo32024-09-02Pro & Farm700,000$417,801$0$0$No700,000$700,000$-------NoNo-------
Jesperi KotkaniemiSan Jose Barracuda (SJS)C241990-10-04No198 Lbs6 ft4NoNoTrade2024-11-04NoNo1Pro & Farm510,000$304,398$0$0$No------------------
Libor HajekSan Jose Barracuda (SJS)D261988-09-19No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm600,000$358,115$0$0$No------------------
Logan MaillouxSan Jose Barracuda (SJS)D211993-09-09Yes215 Lbs6 ft4NoNoTrade2024-08-16NoNo2Pro & Farm925,000$552,094$0$0$No925,000$--------No--------
Luke HughesSan Jose Barracuda (SJS)D211993-09-19Yes195 Lbs6 ft7NoNoFree AgentNoNo22024-09-02Pro & Farm1,000,000$596,859$0$0$No1,000,000$--------No--------
Magnus Hellberg San Jose Barracuda (SJS)G321983-04-04No199 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,499,999$895,287$0$0$No1,499,999$--------No--------
Markus PhillipsSan Jose Barracuda (SJS)D251989-10-04No208 Lbs6 ft1NoNoN/ANoNo1Pro & Farm550,000$328,272$0$0$No------------------
Matthew PecaSan Jose Barracuda (SJS)C301985-04-27No172 Lbs5 ft8NoNoN/ANoNo1Pro & Farm950,000$567,016$0$0$No------------------
Michael McCarronSan Jose Barracuda (SJS)C/RW301984-10-20No252 Lbs6 ft5NoNoN/ANoNo1Pro & Farm600,000$358,115$0$0$No------------------
Oliver KylingtonSan Jose Barracuda (SJS)D281986-10-20No193 Lbs6 ft1NoNoFree AgentNoNo12024-09-02Pro & Farm550,000$328,272$0$0$No------------------
Oliver MooreSan Jose Barracuda (SJS)C191995-07-23Yes194 Lbs5 ft11NoNoProspectNoNo32024-07-22Pro & Farm925,000$552,094$0$0$No925,000$925,000$-------NoNo-------
Quentin MustySan Jose Barracuda (SJS)LW191995-07-23Yes201 Lbs6 ft2NoNoProspectNoNo32024-07-22Pro & Farm650,000$387,958$0$0$No650,000$650,000$-------NoNo-------
Rudolf BalcersSan Jose Barracuda (SJS)LW271987-09-19No194 Lbs6 ft0YesNoFree Agent2024-06-28NoNo32024-10-07Pro & Farm1,499,999$895,287$0$0$No1,499,999$1,499,999$-------YesYes-------
Ryan WalshSan Jose Barracuda (SJS)C211993-07-23Yes181 Lbs6 ft0NoNoProspectNoNo32024-07-22Pro & Farm500,000$298,429$0$0$No500,000$500,000$-------NoNo-------
Samuel HlavajSan Jose Barracuda (SJS)G231991-09-18Yes228 Lbs6 ft6NoNoFree AgentNoNo32024-09-02Pro & Farm660,000$393,927$0$0$No660,000$660,000$-------NoNo-------
Tomas KudelkaSan Jose Barracuda (SJS)D371977-08-07No194 Lbs6 ft2NoNoTrade2024-11-04NoNo1Pro & Farm1,499,999$895,287$0$0$No------------------
Trey AugustineSan Jose Barracuda (SJS)G191995-07-23Yes183 Lbs6 ft1NoNoProspectNoNo32024-07-22Pro & Farm650,000$387,958$0$0$No650,000$650,000$-------NoNo-------
Wyatt JohnstonSan Jose Barracuda (SJS)C211993-08-17Yes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$387,958$0$0$No650,000$--------No--------
Yegor SerdyukSan Jose Barracuda (SJS)RW231991-08-17Yes183 Lbs5 ft11NoNoN/ANoNo2Pro & Farm650,000$387,958$0$0$No650,000$--------No--------
Zach BensonSan Jose Barracuda (SJS)C/LW191995-07-23Yes163 Lbs5 ft9NoNoProspectNoNo32024-07-22Pro & Farm925,000$552,094$0$0$No925,000$925,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.44198 Lbs6 ft22.04817,800$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonOliver MooreWyatt Johnston31023
2Quentin MustyMatthew PecaJared Davidson27032
3Rudolf BalcersRyan WalshYegor Serdyuk25023
4Filip WibergAnthony RichardMichael McCarron17041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLogan Mailloux32032
2Jeremy LauzonTomas Kudelka30023
3Adam EngstromLibor Hajek24014
4Oliver KylingtonChad Krys14131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach BensonOliver MooreQuentin Musty65014
2Matthew PecaWyatt JohnstonRyan Walsh35014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesTomas Kudelka70014
2Adam EngstromLogan Mailloux30014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony RichardMichael McCarron50041
2Michael McCarronAnthony Richard50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Libor HajekJeremy Lauzon70050
2Oliver KylingtonChad Krys30050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael McCarron60050Oliver KylingtonChad Krys50050
2Anthony Richard40050Jeremy LauzonLibor Hajek50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oliver MooreZach Benson55032
2Wyatt JohnstonQuentin Musty45032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonLogan Mailloux55032
2Tomas KudelkaLuke Hughes45032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach BensonOliver MooreWyatt JohnstonLuke HughesTomas Kudelka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony RichardMichael McCarronYegor SerdyukLibor HajekJeremy Lauzon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Moore, Wyatt Johnston, Anthony RichardZach Benson, Matthew PecaMichael McCarron
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Engstrom, Markus Phillips, Tomas KudelkaLuke HughesLibor Hajek, Jeremy Lauzon
Tirs de pénalité
Zach Benson, Oliver Moore, Wyatt Johnston, Jared Davidson, Adam Engstrom
Gardien
#1 : Trey Augustine, #2 : Samuel Hlavaj, #3 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Zach Benson, Oliver Moore, Wyatt Johnston, Matthew Peca, Quentin Musty, Ryan Walsh, Ryan Walsh, Jared Davidson, Anthony Richard, Filip Wiberg, Yegor Serdyuk
Lignes de défense personnalisées en prolongation
Tomas Kudelka, Luke Hughes, Adam Engstrom, Logan Mailloux, Jeremy Lauzon


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's Canucks1010000014-3000000000001010000014-300.000112003145321324214553604429816100.00%4175.00%043887849.89%46186453.36%26051950.10%702417672280551277
2Bakersfield Condors1010000034-11010000034-10000000000000.000369003145321374214553604421510174125.00%5180.00%043887849.89%46186453.36%26051950.10%702417672280551277
3Belleville Senators1000010023-1000000000001000010023-110.5002460031453214242145536043514817400.00%40100.00%143887849.89%46186453.36%26051950.10%702417672280551277
4Bridgeport's Islanders11000000422110000004220000000000021.00047110031453214142145536043982164250.00%110.00%043887849.89%46186453.36%26051950.10%702417672280551277
5Calgary Wranglers20200000513-81010000015-41010000048-400.000591400314532177421455360469232528700.00%8450.00%043887849.89%46186453.36%26051950.10%702417672280551277
6Charlotte Checkers11000000431000000000001100000043121.00047110031453213642145536044082195120.00%10100.00%043887849.89%46186453.36%26051950.10%702417672280551277
7Chicago Wolves1010000034-11010000034-10000000000000.0003580031453213442145536044010618100.00%3233.33%043887849.89%46186453.36%26051950.10%702417672280551277
8Colorado Eagles1010000067-11010000067-10000000000000.00069150031453214142145536044615019300.00%000%043887849.89%46186453.36%26051950.10%702417672280551277
9Grand Rapids Griffins1010000023-1000000000001010000023-100.0002460031453213642145536044276163133.33%3166.67%043887849.89%46186453.36%26051950.10%702417672280551277
10Hartford Wolfpack2020000057-21010000034-11010000023-100.0005101500314532183421455360479278385120.00%4250.00%043887849.89%46186453.36%26051950.10%702417672280551277
11Henderson Silver Knights11000000431000000000001100000043121.000481200314532138421455360435191215100.00%6183.33%043887849.89%46186453.36%26051950.10%702417672280551277
12Hershey Bears211000007701010000036-31100000041320.50071320003145321824214553604864210244250.00%5180.00%043887849.89%46186453.36%26051950.10%702417672280551277
13Iowa Wild1010000025-31010000025-30000000000000.000246003145321394214553604511612143133.33%6266.67%043887849.89%46186453.36%26051950.10%702417672280551277
14Laval Rocket1000010023-11000010023-10000000000010.5002460031453214342145536044011216100.00%10100.00%043887849.89%46186453.36%26051950.10%702417672280551277
15Manitoba Moose22000000945110000005231100000042241.0009162500314532169421455360467336387228.57%40100.00%043887849.89%46186453.36%26051950.10%702417672280551277
16Ontario Reign10001000541000000000001000100054121.000561100314532134421455360444710233133.33%5180.00%043887849.89%46186453.36%26051950.10%702417672280551277
17Providence Bruins11000000211110000002110000000000021.0002460031453214242145536044111215200.00%10100.00%043887849.89%46186453.36%26051950.10%702417672280551277
18Rochester Americans11000000615000000000001100000061521.0006101600314532135421455360438136254125.00%30100.00%043887849.89%46186453.36%26051950.10%702417672280551277
19Rockford IceHogs22000000945110000005231100000042241.00091625003145321794214553604972412298112.50%6183.33%043887849.89%46186453.36%26051950.10%702417672280551277
20San Diego Gulls 1010000013-2000000000001010000013-200.0001230031453213142145536043814618300.00%3166.67%043887849.89%46186453.36%26051950.10%702417672280551277
21Springfield Thunderbirds2020000059-41010000024-21010000035-200.00059142031453218842145536046425439300.00%20100.00%043887849.89%46186453.36%26051950.10%702417672280551277
22Syracuse Crunch11000000835110000008350000000000021.0008152300314532139421455360443152172150.00%110.00%043887849.89%46186453.36%26051950.10%702417672280551277
23Texas Stars11000000321110000003210000000000021.0003470031453214942145536044515419100.00%2150.00%043887849.89%46186453.36%26051950.10%702417672280551277
24Toronto Marlies11000000422000000000001100000042221.000481200314532133421455360437142103266.67%10100.00%043887849.89%46186453.36%26051950.10%702417672280551277
25Utica Comets1010000034-11010000034-10000000000000.0003470031453214142145536043814613000%3166.67%043887849.89%46186453.36%26051950.10%702417672280551277
26Wilkes-Barre/Scranton Penguins11000000422110000004220000000000021.00046100031453213942145536043414821200.00%40100.00%043887849.89%46186453.36%26051950.10%702417672280551277
Total3214150120010910721779001005960-115760110050473320.500109191300203145321124042145536041272423179540841720.24%862274.42%143887849.89%46186453.36%26051950.10%702417672280551277
_Since Last GM Reset3214150120010910721779001005960-115760110050473320.500109191300203145321124042145536041272423179540841720.24%862274.42%143887849.89%46186453.36%26051950.10%702417672280551277
_Vs Conference3214150120010910721779001005960-115760110050473320.500109191300203145321124042145536041272423179540841720.24%862274.42%143887849.89%46186453.36%26051950.10%702417672280551277
_Vs Division16510010005362-9835000002731-4825010002631-5120.3755390143203145321614421455360464021510927544613.64%511374.51%043887849.89%46186453.36%26051950.10%702417672280551277

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3232W11091913001240127242317954020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3214151200109107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
177901005960
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157611005047
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
841720.24%862274.42%1
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
42145536043145321
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
43887849.89%46186453.36%26051950.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
702417672280551277


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 Barracuda2Belleville Senators3ALXSommaire du match
321San Jose Barracuda4Rockford IceHogs2AWSommaire du match
531Manitoba Moose2San Jose Barracuda5BWSommaire du match
852Iowa Wild5San Jose Barracuda2BLSommaire du match
1167Providence Bruins1San Jose Barracuda2BWSommaire du match
1380Hershey Bears6San Jose Barracuda3BLSommaire du match
1697San Jose Barracuda5Ontario Reign4AWXSommaire du match
18108San Jose Barracuda1San Diego Gulls 3ALSommaire du match
20121Colorado Eagles7San Jose Barracuda6BLSommaire du match
23135San Jose Barracuda2Grand Rapids Griffins3ALSommaire du match
24140Utica Comets4San Jose Barracuda3BLSommaire du match
27158Hartford Wolfpack4San Jose Barracuda3BLSommaire du match
29173San Jose Barracuda4Toronto Marlies2AWSommaire du match
32188Texas Stars2San Jose Barracuda3BWSommaire du match
34198Laval Rocket3San Jose Barracuda2BLXSommaire du match
35207San Jose Barracuda4Henderson Silver Knights3AWSommaire du match
37221San Jose Barracuda6Rochester Americans1AWSommaire du match
39230Calgary Wranglers5San Jose Barracuda1BLSommaire du match
41240Bakersfield Condors4San Jose Barracuda3BLSommaire du match
44258San Jose Barracuda4Charlotte Checkers3AWSommaire du match
49288Rockford IceHogs2San Jose Barracuda5BWSommaire du match
50295San Jose Barracuda3Springfield Thunderbirds5ALSommaire du match
54318Wilkes-Barre/Scranton Penguins2San Jose Barracuda4BWSommaire du match
58341Chicago Wolves4San Jose Barracuda3BLSommaire du match
59347Springfield Thunderbirds4San Jose Barracuda2BLSommaire du match
63369Syracuse Crunch3San Jose Barracuda8BWSommaire du match
65383San Jose Barracuda4Calgary Wranglers8ALSommaire du match
68397San Jose Barracuda2Hartford Wolfpack3ALSommaire du match
69405Bridgeport's Islanders2San Jose Barracuda4BWSommaire du match
72425San Jose Barracuda4Manitoba Moose2AWSommaire du match
74434San Jose Barracuda1Abbotsford's Canucks4ALSommaire du match
77456San Jose Barracuda4Hershey Bears1AWSommaire du match
79466San Jose Barracuda-Iowa Wild-
80473Toronto Marlies-San Jose Barracuda-
84494Grand Rapids Griffins-San Jose Barracuda-
87512Lehigh Valley Phantoms-San Jose Barracuda-
88517San Jose Barracuda-Chicago Wolves-
90530San Diego Gulls -San Jose Barracuda-
92539Abbotsford's Canucks-San Jose Barracuda-
95557Henderson Silver Knights-San Jose Barracuda-
97566Charlotte Checkers-San Jose Barracuda-
100586San Jose Barracuda-Texas Stars-
102601San Jose Barracuda-Utica Comets-
104611San Jose Barracuda-Wilkes-Barre/Scranton Penguins-
106619San Jose Barracuda-Bridgeport's Islanders-
108636San Jose Barracuda-Colorado Eagles-
110643San Jose Barracuda-Laval Rocket-
112657Belleville Senators-San Jose Barracuda-
115669San Jose Barracuda-Bakersfield Condors-
117682San Jose Barracuda-Providence Bruins-
121708San Jose Barracuda-Lehigh Valley Phantoms-
122715Ontario Reign-San Jose Barracuda-
125729San Jose Barracuda-Syracuse Crunch-
127739Rochester Americans-San Jose Barracuda-
131759San Jose Barracuda-Chicago Wolves-
132765San Jose Barracuda-Rochester Americans-
134776Hartford Wolfpack-San Jose Barracuda-
137799San Jose Barracuda-Lehigh Valley Phantoms-
140817Wilkes-Barre/Scranton Penguins-San Jose Barracuda-
142831San Diego Gulls -San Jose Barracuda-
145848Utica Comets-San Jose Barracuda-
147859Bakersfield Condors-San Jose Barracuda-
150884Calgary Wranglers-San Jose Barracuda-
151887Manitoba Moose-San Jose Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154904San Jose Barracuda-Ontario Reign-
157926San Jose Barracuda-Toronto Marlies-
159939Iowa Wild-San Jose Barracuda-
161951Hershey Bears-San Jose Barracuda-
163963San Jose Barracuda-Laval Rocket-
165976San Jose Barracuda-Colorado Eagles-
168994San Jose Barracuda-Belleville Senators-
1691003San Jose Barracuda-Charlotte Checkers-
1721020Henderson Silver Knights-San Jose Barracuda-
1751043Texas Stars-San Jose Barracuda-
1761047San Jose Barracuda-Bridgeport's Islanders-
1781062San Jose Barracuda-Rockford IceHogs-
1811081Abbotsford's Canucks-San Jose Barracuda-
1831096Springfield Thunderbirds-San Jose Barracuda-
1851106San Jose Barracuda-Grand Rapids Griffins-
1861118San Jose Barracuda-Providence Bruins-
1881127Syracuse Crunch-San Jose Barracuda-
1901143San Jose Barracuda-Calgary Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3012
Assistance85,00085,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 10000 - 100.00% 312,900$5,319,300$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,700,397$ 4,089,000$ 4,089,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,599,604$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,509,600$ 114 22,717$ 2,589,738$




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