Connexion

San Jose Barracuda
GP: 23 | W: 11 | L: 10 | OTL: 2 | P: 24
GF: 77 | GA: 76 | PP%: 17.91% | PK%: 78.46%
DG: Felix Paille | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #341 vs Chicago Wolves
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Centre de jeu
San Jose Barracuda
11-10-2, 24pts
3
FINAL
5 Springfield Thunderbirds
12-10-2, 26pts
Team Stats
W1SéquenceW4
5-7-1Fiche domicile5-4-1
6-3-1Fiche domicile7-6-1
6-3-1Derniers 10 matchs5-5-0
3.35Buts par match 3.42
3.30Buts contre par match 2.92
17.91%Pourcentage en avantage numérique23.61%
78.46%Pourcentage en désavantage numérique80.36%
Wilkes-Barre/Scranton Penguins
18-5-1, 37pts
2
FINAL
4 San Jose Barracuda
11-10-2, 24pts
Team Stats
W1SéquenceW1
13-1-0Fiche domicile5-7-1
5-4-1Fiche domicile6-3-1
9-1-0Derniers 10 matchs6-3-1
3.83Buts par match 3.35
2.71Buts contre par match 3.30
20.31%Pourcentage en avantage numérique17.91%
89.04%Pourcentage en désavantage numérique78.46%
Chicago Wolves
8-13-3, 19pts
Jour 58
San Jose Barracuda
11-10-2, 24pts
Statistiques d’équipe
OTL1SéquenceW1
1-8-2Fiche domicile5-7-1
7-5-1Fiche visiteur6-3-1
3-6-110 derniers matchs6-3-1
2.75Buts par match 3.35
3.79Buts contre par match 3.35
23.21%Pourcentage en avantage numérique17.91%
70.37%Pourcentage en désavantage numérique78.46%
Springfield Thunderbirds
12-10-2, 26pts
Jour 59
San Jose Barracuda
11-10-2, 24pts
Statistiques d’équipe
W4SéquenceW1
5-4-1Fiche domicile5-7-1
7-6-1Fiche visiteur6-3-1
5-5-010 derniers matchs6-3-1
3.42Buts par match 3.35
2.92Buts contre par match 3.35
23.61%Pourcentage en avantage numérique17.91%
80.36%Pourcentage en désavantage numérique78.46%
Syracuse Crunch
14-8-1, 29pts
Jour 63
San Jose Barracuda
11-10-2, 24pts
Statistiques d’équipe
L1SéquenceW1
9-3-0Fiche domicile5-7-1
5-5-1Fiche visiteur6-3-1
5-5-010 derniers matchs6-3-1
3.48Buts par match 3.35
3.48Buts contre par match 3.35
24.53%Pourcentage en avantage numérique17.91%
78.08%Pourcentage en désavantage numérique78.46%
Meneurs d'équipe
Buts
Zach Benson
17
Passes
Oliver Moore
19
Points
Zach Benson
29
Plus/Moins
Tomas Kudelka
12
Victoires
Trey Augustine
6
Pourcentage d’arrêts
Magnus Hellberg
0.934

Statistiques d’équipe
Buts pour
77
3.35 GFG
Tirs pour
898
39.04 Avg
Pourcentage en avantage numérique
17.9%
12 GF
Début de zone offensive
38.7%
Buts contre
76
3.30 GAA
Tirs contre
940
40.87 Avg
Pourcentage en désavantage numérique
78.5%%
14 GA
Début de la zone défensive
38.9%
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 Mineure20
Limite contact 45 / 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)XX100.006628778671727281797473727341468299680193925,000$
2Oliver Moore (R)X100.007133778277767673797172727241558299680193925,000$
3Anthony RichardX100.006429848374838369876469667068695199670271725,000$
4Rudolf BalcersX100.00552086847375817452697462707360489967N02731,499,999$
5Quentin Musty (R)X100.007438707776717178607370677038468199660193650,000$
6Matthew PecaX100.006326858668858477877359565565662299660301950,000$
7Wyatt Johnston (R)X100.007137737772676770786868696849697999660212650,000$
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’ÉQUIPE100.00663179817576776766656467665761599966
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/LW23171229-81002930128346513.28%1846020.0344816600002341243.75%322516021.2600000510
2Oliver MooreSan Jose Barracuda (SJS)C2361925-710036338826496.82%2046220.133699600004330049.85%680174001.0800000111
3Quentin MustySan Jose Barracuda (SJS)LW2231518426034248726543.45%937417.04033856000091052.38%211515000.9600000012
4Anthony RichardSan Jose Barracuda (SJS)C239817-240302953204816.98%1541017.840331281012580052.48%141146000.8300000003
5Matthew PecaSan Jose Barracuda (SJS)C233131652012126220384.84%631413.66011525000001048.15%27147001.0200000000
6Wyatt JohnstonSan Jose Barracuda (SJS)C237815760342847193714.89%1536215.76101449000032048.21%33665000.8300000020
7Ryan WalshSan Jose Barracuda (SJS)C231221434038295092124.00%533714.67101350000000350.00%25844100.8300000112
8Jared DavidsonSan Jose Barracuda (SJS)C19581366023166014278.33%724412.8700000000002116.67%693001.0600000012
9Yegor SerdyukSan Jose Barracuda (SJS)RW23191024025145217281.92%827211.8400011000000040.00%15124100.7300000000
10Adam EngstromSan Jose Barracuda (SJS)D231910120912179135.88%1936816.0211224100009000%0413000.5400000000
11Rudolf BalcersSan Jose Barracuda (SJS)LW18549-2001185616248.93%523813.2500001000032130.77%1371000.7500000100
12Jeremy LauzonSan Jose Barracuda (SJS)D2316781202020225114.55%3642618.56000018000153000%0223000.3300000000
13Tomas KudelkaSan Jose Barracuda (SJS)D230661200117274100%2637216.18000125011125000%089000.3200000000
14Luke HughesSan Jose Barracuda (SJS)D23246-74018214215184.76%2743118.7412387000000100%0816000.2800000000
15Logan MaillouxSan Jose Barracuda (SJS)D201563140242424884.17%2134417.2512365900000000%01016000.3500000001
16Filip WibergSan Jose Barracuda (SJS)C/RW17213-160171216101812.50%61559.1800001000001071.43%734000.3800000000
17Libor HajekSan Jose Barracuda (SJS)D23123-320101719595.26%3135815.6000000000059000%0117000.1700000000
18Michael McCarronSan Jose Barracuda (SJS)C/RW2302234017198250%52038.87000030112610067.24%5845000.2000000000
19Markus PhillipsSan Jose Barracuda (SJS)D17011-300177340%81287.5600000000030000%012000.1600000000
20Oliver KylingtonSan Jose Barracuda (SJS)D20011220047310%141778.8800000000014000%005000.1100000000
21Chad KrysSan Jose Barracuda (SJS)D13000-100542130%71279.8100000000014000%01000000000000
22Jesperi KotkaniemiSan Jose Barracuda (SJS)C7000-200276020%2699.8700000000030048.78%412100000000000
Statistiques d’équipe totales ou en moyenne452761352112011803963878802664938.64%310664314.70122234645541231241711749.97%1635167176220.64000008711
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)116410.9143.5464520384412301000111020
2Magnus Hellberg San Jose Barracuda (SJS)95310.9342.655432024364144000093310
3Samuel HlavajSan Jose Barracuda (SJS)40300.9034.061920013134640100319000
Statistiques d’équipe totales ou en moyenne24111020.9203.26138140759394381102323330


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$350,785$0$0$No500,000$--------No--------
Anthony RichardSan Jose Barracuda (SJS)C271987-09-29No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm725,000$508,639$0$0$No------------------
Chad KrysSan Jose Barracuda (SJS)D271987-09-29No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm725,000$508,639$0$0$No------------------
Filip WibergSan Jose Barracuda (SJS)C/RW221992-07-23Yes231 Lbs6 ft3YesNoFree AgentNoNo32024-10-07Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Jared DavidsonSan Jose Barracuda (SJS)C221992-07-23Yes183 Lbs6 ft0NoNoProspectNoNo32024-07-22Pro & Farm500,000$350,785$0$0$No500,000$500,000$-------NoNo-------
Jeremy LauzonSan Jose Barracuda (SJS)D281986-10-20No204 Lbs6 ft2NoNoFree AgentNoNo32024-09-02Pro & Farm700,000$491,099$0$0$No700,000$700,000$-------NoNo-------
Jesperi KotkaniemiSan Jose Barracuda (SJS)C241990-10-04No198 Lbs6 ft4NoNoTrade2024-11-04NoNo1Pro & Farm510,000$357,801$0$0$No------------------
Libor HajekSan Jose Barracuda (SJS)D261988-09-19No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm600,000$420,942$0$0$No------------------
Logan MaillouxSan Jose Barracuda (SJS)D211993-09-09Yes215 Lbs6 ft4NoNoTrade2024-08-16NoNo2Pro & Farm925,000$648,953$0$0$No925,000$--------No--------
Luke HughesSan Jose Barracuda (SJS)D211993-09-19Yes195 Lbs6 ft7NoNoFree AgentNoNo22024-09-02Pro & Farm1,000,000$701,571$0$0$No1,000,000$--------No--------
Magnus Hellberg San Jose Barracuda (SJS)G321983-04-04No199 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,499,999$1,052,355$0$0$No1,499,999$--------No--------
Markus PhillipsSan Jose Barracuda (SJS)D251989-10-04No208 Lbs6 ft1NoNoN/ANoNo1Pro & Farm550,000$385,864$0$0$No------------------
Matthew PecaSan Jose Barracuda (SJS)C301985-04-27No172 Lbs5 ft8NoNoN/ANoNo1Pro & Farm950,000$666,492$0$0$No------------------
Michael McCarronSan Jose Barracuda (SJS)C/RW301984-10-20No252 Lbs6 ft5NoNoN/ANoNo1Pro & Farm600,000$420,942$0$0$No------------------
Oliver KylingtonSan Jose Barracuda (SJS)D281986-10-20No193 Lbs6 ft1NoNoFree AgentNoNo12024-09-02Pro & Farm550,000$385,864$0$0$No------------------
Oliver MooreSan Jose Barracuda (SJS)C191995-07-23Yes194 Lbs5 ft11NoNoProspectNoNo32024-07-22Pro & Farm925,000$648,953$0$0$No925,000$925,000$-------NoNo-------
Quentin MustySan Jose Barracuda (SJS)LW191995-07-23Yes201 Lbs6 ft2NoNoProspectNoNo32024-07-22Pro & Farm650,000$456,021$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$1,052,355$0$0$No1,499,999$1,499,999$-------YesYes-------
Ryan WalshSan Jose Barracuda (SJS)C211993-07-23Yes181 Lbs6 ft0NoNoProspectNoNo32024-07-22Pro & Farm500,000$350,785$0$0$No500,000$500,000$-------NoNo-------
Samuel HlavajSan Jose Barracuda (SJS)G231991-09-18Yes228 Lbs6 ft6NoNoFree AgentNoNo32024-09-02Pro & Farm660,000$463,037$0$0$No660,000$660,000$-------NoNo-------
Tomas KudelkaSan Jose Barracuda (SJS)D371977-08-07No194 Lbs6 ft2NoNoTrade2024-11-04NoNo1Pro & Farm1,499,999$1,052,355$0$0$No------------------
Trey AugustineSan Jose Barracuda (SJS)G191995-07-23Yes183 Lbs6 ft1NoNoProspectNoNo32024-07-22Pro & Farm650,000$456,021$0$0$No650,000$650,000$-------NoNo-------
Wyatt JohnstonSan Jose Barracuda (SJS)C211993-08-17Yes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$456,021$0$0$No650,000$--------No--------
Yegor SerdyukSan Jose Barracuda (SJS)RW231991-08-17Yes183 Lbs5 ft11NoNoN/ANoNo2Pro & Farm650,000$456,021$0$0$No650,000$--------No--------
Zach BensonSan Jose Barracuda (SJS)C/LW191995-07-23Yes163 Lbs5 ft9NoNoProspectNoNo32024-07-22Pro & Farm925,000$648,953$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 MooreQuentin Musty31023
2Rudolf BalcersWyatt JohnstonJared Davidson27032
3Matthew PecaRyan WalshYegor Serdyuk25023
4Filip WibergAnthony RichardMichael McCarron17041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesTomas Kudelka32032
2Jeremy LauzonLogan Mailloux30023
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
1Bakersfield Condors1010000034-11010000034-10000000000000.000369001934231373003352594421510174125.00%5180.00%031564448.91%34464753.17%17637347.18%507300487200391198
2Belleville Senators1000010023-1000000000001000010023-110.5002460019342314230033525943514817400.00%40100.00%131564448.91%34464753.17%17637347.18%507300487200391198
3Calgary Wranglers1010000015-41010000015-40000000000000.0001230019342313930033525943410615400.00%3166.67%031564448.91%34464753.17%17637347.18%507300487200391198
4Charlotte Checkers11000000431000000000001100000043121.00047110019342313630033525944082195120.00%10100.00%031564448.91%34464753.17%17637347.18%507300487200391198
5Colorado Eagles1010000067-11010000067-10000000000000.00069150019342314130033525944615019300.00%000%031564448.91%34464753.17%17637347.18%507300487200391198
6Grand Rapids Griffins1010000023-1000000000001010000023-100.0002460019342313630033525944276163133.33%3166.67%031564448.91%34464753.17%17637347.18%507300487200391198
7Hartford Wolfpack1010000034-11010000034-10000000000000.00036900193423140300335259434164214125.00%220.00%031564448.91%34464753.17%17637347.18%507300487200391198
8Henderson Silver Knights11000000431000000000001100000043121.000481200193423138300335259435191215100.00%6183.33%031564448.91%34464753.17%17637347.18%507300487200391198
9Hershey Bears1010000036-31010000036-30000000000000.00035800193423147300335259462336183266.67%3166.67%031564448.91%34464753.17%17637347.18%507300487200391198
10Iowa Wild1010000025-31010000025-30000000000000.000246001934231393003352594511612143133.33%6266.67%031564448.91%34464753.17%17637347.18%507300487200391198
11Laval Rocket1000010023-11000010023-10000000000010.5002460019342314330033525944011216100.00%10100.00%031564448.91%34464753.17%17637347.18%507300487200391198
12Manitoba Moose11000000523110000005230000000000021.00059140019342313630033525942913419400.00%20100.00%031564448.91%34464753.17%17637347.18%507300487200391198
13Ontario Reign10001000541000000000001000100054121.000561100193423134300335259444710233133.33%5180.00%031564448.91%34464753.17%17637347.18%507300487200391198
14Providence Bruins11000000211110000002110000000000021.0002460019342314230033525944111215200.00%10100.00%031564448.91%34464753.17%17637347.18%507300487200391198
15Rochester Americans11000000615000000000001100000061521.0006101600193423135300335259438136254125.00%30100.00%031564448.91%34464753.17%17637347.18%507300487200391198
16Rockford IceHogs22000000945110000005231100000042241.00091625001934231793003352594972412298112.50%6183.33%031564448.91%34464753.17%17637347.18%507300487200391198
17San Diego Gulls 1010000013-2000000000001010000013-200.0001230019342313130033525943814618300.00%3166.67%031564448.91%34464753.17%17637347.18%507300487200391198
18Springfield Thunderbirds1010000035-2000000000001010000035-200.0003581019342314130033525943812222200.00%10100.00%031564448.91%34464753.17%17637347.18%507300487200391198
19Texas Stars11000000321110000003210000000000021.0003470019342314930033525944515419100.00%2150.00%031564448.91%34464753.17%17637347.18%507300487200391198
20Toronto Marlies11000000422000000000001100000042221.000481200193423133300335259437142103266.67%10100.00%031564448.91%34464753.17%17637347.18%507300487200391198
21Utica Comets1010000034-11010000034-10000000000000.0003470019342314130033525943814613000%3166.67%031564448.91%34464753.17%17637347.18%507300487200391198
22Wilkes-Barre/Scranton Penguins11000000422110000004220000000000021.00046100019342313930033525943414821200.00%40100.00%031564448.91%34464753.17%17637347.18%507300487200391198
Total23101001200777611357001004247-510530110035296240.522771332101019342318983003352594940315130401671217.91%651478.46%131564448.91%34464753.17%17637347.18%507300487200391198
_Since Last GM Reset23101001200777611357001004247-510530110035296240.522771332101019342318983003352594940315130401671217.91%651478.46%131564448.91%34464753.17%17637347.18%507300487200391198
_Vs Conference23101001200777611357001004247-510530110035296240.522771332101019342318983003352594940315130401671217.91%651478.46%131564448.91%34464753.17%17637347.18%507300487200391198
_Vs Division1257010004244-2734000002527-25230100017170120.500427111310193423146430033525944991607821036411.11%39976.92%031564448.91%34464753.17%17637347.18%507300487200391198

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2324W17713321089894031513040110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
23101012007776
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
135701004247
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105311003529
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
671217.91%651478.46%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
30033525941934231
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
31564448.91%34464753.17%17637347.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
507300487200391198


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 Wolves-San Jose Barracuda-
59347Springfield Thunderbirds-San Jose Barracuda-
63369Syracuse Crunch-San Jose Barracuda-
65383San Jose Barracuda-Calgary Wranglers-
68397San Jose Barracuda-Hartford Wolfpack-
69405Bridgeport's Islanders-San Jose Barracuda-
72425San Jose Barracuda-Manitoba Moose-
74434San Jose Barracuda-Abbotsford's Canucks-
77456San Jose Barracuda-Hershey Bears-
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
Assistance65,00065,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 10000 - 100.00% 312,900$4,067,700$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,246,057$ 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$ 1,171,444$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
8,761,200$ 134 22,717$ 3,044,078$




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