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Barracuda
GP: 12 | W: 11 | L: 0 | OTL: 1 | P: 23
GF: 38 | GA: 18 | PP%: 3.85% | PK%: 90.91%
DG: Steeve Tremblay | Morale : 70 | Moyenne d’équipe : 67
Prochains matchs #203 vs Condors

Centre de jeu
Gulls
5-5-1, 11pts
1
5 Barracuda
11-0-1, 23pts
Team Stats
L1SéquenceW2
3-3-0Fiche domicile5-0-1
2-2-1Fiche domicile6-0-0
5-4-1Derniers 10 matchs9-0-1
2.64Buts par match 3.17
3.09Buts contre par match 1.50
16.28%Pourcentage en avantage numérique3.85%
83.67%Pourcentage en désavantage numérique90.91%
Barracuda
11-0-1, 23pts
3
2 Wranglers
8-4-0, 16pts
Team Stats
W2SéquenceL1
5-0-1Fiche domicile5-1-0
6-0-0Fiche domicile3-3-0
9-0-1Derniers 10 matchs6-4-0
3.17Buts par match 3.08
1.50Buts contre par match 2.67
3.85%Pourcentage en avantage numérique20.93%
90.91%Pourcentage en désavantage numérique82.22%
Barracuda
11-0-1, 23pts
Jour 29
Condors
4-7-1, 9pts
Statistiques d’équipe
W2SéquenceW1
5-0-1Fiche domicile3-3-0
6-0-0Fiche visiteur1-4-1
9-0-110 derniers matchs4-5-1
3.17Buts par match 2.67
1.50Buts contre par match 2.67
3.85%Pourcentage en avantage numérique20.83%
90.91%Pourcentage en désavantage numérique84.91%
Condors
4-7-1, 9pts
Jour 31
Barracuda
11-0-1, 23pts
Statistiques d’équipe
W1SéquenceW2
3-3-0Fiche domicile5-0-1
1-4-1Fiche visiteur6-0-0
4-5-110 derniers matchs9-0-1
2.67Buts par match 3.17
3.17Buts contre par match 3.17
20.83%Pourcentage en avantage numérique3.85%
84.91%Pourcentage en désavantage numérique90.91%
Reign
8-2-1, 17pts
Jour 34
Barracuda
11-0-1, 23pts
Statistiques d’équipe
W1SéquenceW2
5-1-0Fiche domicile5-0-1
3-1-1Fiche visiteur6-0-0
7-2-110 derniers matchs9-0-1
3.55Buts par match 3.17
3.00Buts contre par match 3.17
17.07%Pourcentage en avantage numérique3.85%
91.30%Pourcentage en désavantage numérique90.91%
Meneurs d'équipe
Buts
Ross Colton
7
Passes
Steeve Tremblay
9
Points
Steeve Tremblay
13
Plus/Moins
Ross Colton
11
Victoires
Vyacheslav Peksa
6
Pourcentage d’arrêts
Jesper Wallstedt
0.939

Statistiques d’équipe
Buts pour
38
3.17 GFG
Tirs pour
370
30.83 Avg
Pourcentage en avantage numérique
3.8%
2 GF
Début de zone offensive
45.4%
Buts contre
18
1.50 GAA
Tirs contre
257
21.42 Avg
Pourcentage en désavantage numérique
90.9%%
3 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralSteeve Tremblay
EntraîneurJohn Stevens
DivisionPacific
ConférenceConference Ouest
CapitaineSteeve Tremblay
Assistant #1Jani Hakanpaa
Assistant #2Tyler Wotherspoon


Informations de l’aréna

Capacité2,300
Assistance2,295
Billets de saison920


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 99
Espoirs70


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
1Thomas Bordeleau0XX100.0047209967708468698393577856696980706902422,068,000$
2Ross Colton0XXX99.0076299260776187717968747576757468706903011,430,000$
3James Malatesta0XX100.009974766471736976547578697159596670690231900,000$
4Alex Laferriere0XX100.0073518871748890705869716671667060706902452,100,000$
5Steeve Tremblay (C)16XX99.0061567663836170654865658960808064706823421,735,000$
6Jeff Malott0XXX100.00814970689283856562646367657072357067N03041,200,000$
7Ivan Ivan82XX100.005838938073758968586464686265656470670241900,000$
8Philippe Daoust0XX100.005832687361747671657665647166687870670241900,000$
9Tyson Gross (R)0XXX100.005937686561677173627676587355598270660242900,000$
10Charlie Cerrato (R)0XX99.006032736860677369727661705951587870650213900,000$
11Evan Vierling (R)0XXX100.005830716759767763636564656464687470630242900,000$
12Melvin Fernstrom (R)0X100.005832715959667060467061616258597870600203900,000$
13Olen Zellweger0X100.006135997169787281257665756261597070690231900,000$
14Parker Wotherspoon0X100.0074558264758681653070607350697148706902931,000,000$
15Jani Hakanpaa (A)0X100.0091418660827881503049477850928240706903422,920,500$
16Tyler Wotherspoon (A)0X100.0027339960776049783076787862818040706603311,330,000$
17Eric Pohlkamp (R)0X100.006340706563707567457664715853587570650222900,000$
18David Spacek (R)0X100.007267856774808451255951715461616470650232900,000$
Rayé
1Alex Steeves0XXX100.0042169967716866665477517957717135706502611,277,000$
2Ben Strinden (R)0XX100.006435736665687366567664735855587570650242900,000$
3Kenny Connors (R)0XX100.006240686964747665646964676664687670650232900,000$
4Wojciech Stachowiak0XX100.00623868676168716646706763677066827064N02741,200,000$
5Marcus Joughin0XXX100.005635706558717566457658685757587370630251900,000$
6Gunnarwolfe Fontaine0XX100.005837686156707363556767586560566870610261895,000$
7Marek Alscher (R)0X100.007775796381646955255454755262626470640222900,000$
8Ben Dexheimer (R)0X100.005630736458677366457657685755597770630241900,000$
MOYENNE D’ÉQUIPE99.88644179666972756651706370626566667066
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
1Vyacheslav Peksa099.00748573788092808193817762637770790241900,000$
2Jesper Wallstedt0100.006262718272898687897774667084707702353,000,000$
Rayé
1Seth Eisele0100.0071696992717070717269696362687071N02721,900,000$
2T.J. Semptimphelter0100.0070706976726969717369695661707069N02451,375,000$
MOYENNE D’ÉQUIPE99.7569727182748076788274726264757074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens79989984999913CAN602500,000$


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
1Steeve TremblayBarracuda (SJS)LW/RW12491311001152482516.67%121918.271124450112291138.71%3100001.1901000111
2Ross ColtonBarracuda (SJS)C/LW/RW127310114082934101820.59%121317.831018441012273054.45%28100000.9301000210
3James MalatestaBarracuda (SJS)C/LW1245910180371138131610.53%018315.300111044000001146.15%1300000.9811000202
4Olen ZellwegerBarracuda (SJS)D12178700217205115.00%1227623.030001044000030000%000000.5800000101
5Eric PohlkampBarracuda (SJS)D12077820171410490%623219.3701154500007000%000000.6000000101
6Tyson GrossBarracuda (SJS)C/LW/RW1243752014111761523.53%117414.50000023000042051.72%2900000.8000000030
7Ivan IvanBarracuda (SJS)C/LW123365404133710118.11%019015.87000949000000144.44%900000.6300000001
8Philippe DaoustBarracuda (SJS)C/LW123363205142171014.29%114311.9200000000001045.52%14500000.8401000000
9Charlie CerratoBarracuda (SJS)C/LW1224650020272031710.00%118615.580002180000280054.79%18800000.6400000002
10Alex LaferriereBarracuda (SJS)LW/RW122351001214358245.71%117214.37000530000000050.00%1400000.5801000011
11Tyler WotherspoonBarracuda (SJS)D5055300076390%19318.7501121800002000%000001.0700000000
12Parker WotherspoonBarracuda (SJS)D12145780211322294.55%1026121.760001346000027010%000000.3800000100
13Jeff MalottBarracuda (SJS)C/LW/RW12134360257183135.56%114512.0900002000000042.86%700000.5500000100
14Thomas BordeleauBarracuda (SJS)C/LW9123200118163106.25%114516.140003280000191056.92%19500000.4100000010
15David SpacekBarracuda (SJS)D120337401963240%1422318.64000116011024000%000000.2700000000
16Ben DexheimerBarracuda (SJS)D5033500373210%29619.3600031800000000%000000.6200000010
17Evan VierlingBarracuda (SJS)C/LW/RW21121000020150.00%02512.680000100000010%000001.5800000000
18Kenny ConnorsBarracuda (SJS)C/LW51123002551620.00%06012.14000010000010100.00%100000.6600000010
19Wojciech StachowiakBarracuda (SJS)LW/RW82023401051511413.33%09411.8400000000000011.11%900000.4200000000
20Marcus JoughinBarracuda (SJS)C/LW/RW5022000377310%05811.700000000000000%100000.6800000000
21Jani HakanpaaBarracuda (SJS)D1202261402935220%1022418.6900002000022000%000000.1800000001
22Ben StrindenBarracuda (SJS)C/RW310110056101210.00%14816.31000000001101042.42%3300000.4100000010
23Gunnarwolfe FontaineBarracuda (SJS)C/LW3000-120310150%03712.4400000000000050.00%40000000000000
24Melvin FernstromBarracuda (SJS)RW1000100000000%01212.230000000000000%00000000000000
25Marek AlscherBarracuda (SJS)D2000000332010%03618.390000100005000%00000000000000
Statistiques d’équipe totales ou en moyenne21638731111077002442533709823410.27%64355716.4724675484123524011551.88%96000000.621500091010
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
1Vyacheslav PeksaBarracuda (SJS)66000.9281.493620091250000066000
2Jesper WallstedtBarracuda (SJS)65010.9391.323650181320000.600566010
Statistiques d’équipe totales ou en moyenne1211010.9341.40727011725700051212010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex LaferriereBarracuda (SJS)LW/RW242001-10-28USANo177 Lbs6 ft0NoNoFree Agent2024-08-08NoNo52026-06-20FalseFalsePro & Farm2,100,000$0$0$No2,100,000$2,100,000$2,100,000$2,100,000$-----2,100,000$2,100,000$2,100,000$2,100,000$-----NoNoNoNo-----
Alex SteevesBarracuda (SJS)C/LW/RW261999-12-10USANo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,277,000$0$0$No---------------------------
Ben DexheimerBarracuda (SJS)D242002-06-21USAYes165 Lbs5 ft10NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm900,000$0$0$No---------------------------
Ben StrindenBarracuda (SJS)C/RW242002-06-04USAYes209 Lbs6 ft1NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Charlie CerratoBarracuda (SJS)C/LW212005-03-10USAYes194 Lbs6 ft0NoNoFree AgentNoNo32026-06-18FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
David SpacekBarracuda (SJS)D232003-05-23USAYes193 Lbs6 ft0NoNoFree AgentNoNo22025-05-23FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Eric PohlkampBarracuda (SJS)D222004-03-23USAYes205 Lbs5 ft11NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Evan VierlingBarracuda (SJS)C/LW/RW242002-06-20CANYes179 Lbs6 ft0NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Gunnarwolfe FontaineBarracuda (SJS)C/LW262000-09-16USANo187 Lbs5 ft10NoNoFree AgentNoNo12026-06-01FalseFalsePro & Farm895,000$0$0$No---------------------------
Ivan IvanBarracuda (SJS)C/LW242002-08-20CZENo193 Lbs6 ft0NoNoFree AgentNoNo12025-05-23FalseFalsePro & Farm900,000$0$0$No---------------------------
James MalatestaBarracuda (SJS)C/LW232003-05-31CANNo195 Lbs5 ft9NoNoTrade2024-09-29NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Jani HakanpaaBarracuda (SJS)D341992-03-31FINNo228 Lbs6 ft5NoNoTrade2025-10-10NoNo2FalseFalsePro & Farm2,920,500$0$0$No2,920,500$--------2,920,500$--------No--------
Jeff MalottBarracuda (SJS)C/LW/RW301996-08-07CANNo206 Lbs6 ft4YesNoFree AgentNoNo42026-08-17FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------YesYesYes------
Jesper WallstedtBarracuda (SJS)G232002-11-14SWENo222 Lbs6 ft3NoNoDraftNoNo52026-06-20FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----
Kenny ConnorsBarracuda (SJS)C/LW232003-03-10USAYes207 Lbs6 ft2NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Marcus JoughinBarracuda (SJS)C/LW/RW252001-07-05CANNo181 Lbs5 ft11NoNoFree AgentNoNo12026-07-08FalseFalsePro & Farm900,000$0$0$No---------------------------
Marek AlscherBarracuda (SJS)D222004-04-07CZEYes207 Lbs6 ft3NoNoFree AgentNoNo22025-05-25FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Melvin FernstromBarracuda (SJS)RW202006-02-28SWEYes100 Lbs4 ft0NoNoFree AgentNoNo32026-06-02FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Olen ZellwegerBarracuda (SJS)D232003-09-10CANNo180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Parker WotherspoonBarracuda (SJS)D291997-08-24CANNo198 Lbs6 ft0NoNoFree AgentNoNo32025-08-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Philippe DaoustBarracuda (SJS)C/LW242001-11-05CANNo194 Lbs6 ft1NoNoTrade2026-09-04NoNo12026-06-05FalseFalsePro & Farm900,000$0$0$No---------------------------
Ross ColtonBarracuda (SJS)C/LW/RW301996-09-11USANo219 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,430,000$0$0$No---------------------------
Seth EiseleBarracuda (SJS)G271998-10-30USANo201 Lbs6 ft5YesNoFree AgentNoNo22026-08-17FalseFalsePro & Farm1,900,000$0$0$No1,900,000$--------1,900,000$--------Yes--------
Steeve TremblayBarracuda (SJS)LW/RW341992-07-28CANNo237 Lbs6 ft4NoNoFree AgentNoNo22025-05-19FalseFalsePro & Farm1,735,000$0$0$No1,735,000$--------1,735,000$--------No--------
T.J. SemptimphelterBarracuda (SJS)G242002-05-09USANo190 Lbs6 ft1YesNoFree AgentNoNo52026-08-28FalseFalsePro & Farm1,375,000$0$0$No1,375,000$1,375,000$1,375,000$1,375,000$-----1,375,000$1,375,000$1,375,000$1,375,000$-----YesYesYesYes-----
Thomas BordeleauBarracuda (SJS)C/LW242002-01-03USANo183 Lbs5 ft10NoNoTrade2025-02-17NoNo22025-05-25FalseFalsePro & Farm2,068,000$0$0$No2,068,000$--------2,068,000$--------No--------
Tyler WotherspoonBarracuda (SJS)D331993-03-12CANNo217 Lbs6 ft1NoNoTrade2025-03-09NoNo12025-05-25FalseFalsePro & Farm1,330,000$0$0$No---------------------------
Tyson GrossBarracuda (SJS)C/LW/RW242002-09-23CANYes194 Lbs6 ft3NoNoFree AgentNoNo22026-06-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Vyacheslav PeksaBarracuda (SJS)G242002-08-27RUSNo197 Lbs6 ft3NoNoTrade2026-01-29NoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------
Wojciech StachowiakBarracuda (SJS)LW/RW271999-07-03POLNo194 Lbs6 ft1YesNoFree AgentNoNo42026-08-17FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------YesYesYes------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.37195 Lbs6 ft02.171,261,017$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LaferriereThomas BordeleauMelvin Fernstrom25113
2James MalatestaRoss ColtonSteeve Tremblay25032
3Ivan IvanCharlie CerratoTyson Gross25122
4Jeff MalottPhilippe DaoustEvan Vierling25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaOlen Zellweger31041
2Parker WotherspoonTyler Wotherspoon31041
3Eric PohlkampDavid Spacek31041
4Jani HakanpaaOlen Zellweger7122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James MalatestaRoss ColtonSteeve Tremblay50014
2Ivan IvanCharlie CerratoTyson Gross50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonOlen Zellweger50005
2Eric PohlkampParker Wotherspoon50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ross ColtonSteeve Tremblay51041
2Thomas BordeleauCharlie Cerrato49041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaOlen Zellweger51041
2Parker WotherspoonDavid Spacek49041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charlie Cerrato50050Jani HakanpaaOlen Zellweger51050
2Ross Colton50050Parker WotherspoonDavid Spacek49050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ross ColtonSteeve Tremblay51032
2Philippe DaoustJames Malatesta49032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaOlen Zellweger51122
2Parker WotherspoonDavid Spacek49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LaferriereJames MalatestaRoss ColtonJani HakanpaaOlen Zellweger
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LaferriereJames MalatestaRoss ColtonJani HakanpaaOlen Zellweger
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Steeve Tremblay, Ross Colton, Charlie CerratoSteeve Tremblay, Tyson GrossSteeve Tremblay
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Wotherspoon, Olen Zellweger, Parker WotherspoonOlen ZellwegerDavid Spacek, Parker Wotherspoon
Tirs de pénalité
Alex Laferriere, Steeve Tremblay, James Malatesta, Ross Colton, Philippe Daoust
Gardien
#1 : Vyacheslav Peksa, #2 : Jesper Wallstedt


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
TotalDomicile Visiteur
# 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 RI
1Canucks22000000734110000003211100000041341.000713200081514261136114117837111238800.00%60100.00%021743350.12%17933553.43%10218555.14%3202232498715781
2Eagles22000000716110000004041100000031241.0007142101815142491361141178431016469111.11%70100.00%121743350.12%17933553.43%10218555.14%3202232498715781
3Gulls22000000826110000005141100000031241.0008152300815142691361141178361310486116.67%50100.00%021743350.12%17933553.43%10218555.14%3202232498715781
4Penguins11000000321110000003210000000000021.00036900815142551361141178242417700.00%20100.00%021743350.12%17933553.43%10218555.14%3202232498715781
5Reign11000000431000000000001100000043121.0004812008151423913611411783251024600.00%4250.00%021743350.12%17933553.43%10218555.14%3202232498715781
6Silver Knight21001000422110000002111000100021141.00047110081514261136114117836101040700.00%5180.00%021743350.12%17933553.43%10218555.14%3202232498715781
7Wranglers210000015501000000123-11100000032130.75051015008151423613611411784913831900.00%40100.00%021743350.12%17933553.43%10218555.14%3202232498715781
Total121000100138182065000001199106500100019910230.958387311101815142370136114117825764702445223.85%33390.91%121743350.12%17933553.43%10218555.14%3202232498715781
_Since Last GM Reset121000100138182065000001199106500100019910230.958387311101815142370136114117825764702445223.85%33390.91%121743350.12%17933553.43%10218555.14%3202232498715781
_Vs Conference1190010013516195400000116796500100019910210.955356710201815142315136114117823362662274524.44%31390.32%121743350.12%17933553.43%10218555.14%3202232498715781
_Vs Division1900100132114000001321050010000002110.50036900815142551361141178242417700.00%20100.00%021743350.12%17933553.43%10218555.14%3202232498715781

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1223W23873111370257647024401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1210010013818
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
6500001199
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
6501000199
Derniers 10 matchs
WLOTWOTL SOWSOL
801001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5223.85%33390.91%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
1361141178815142
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
21743350.12%17933553.43%10218555.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3202232498715781


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
14Barracuda4Canucks1WSommaire du match
324Canucks2Barracuda3WSommaire du match
536Silver Knight1Barracuda2WSommaire du match
750Barracuda3Gulls1WSommaire du match
1177Barracuda4Reign3WSommaire du match
1390Eagles0Barracuda4WSommaire du match
15105Penguins2Barracuda3WSommaire du match
18128Barracuda2Silver Knight1WXSommaire du match
20135Barracuda3Eagles1WSommaire du match
23155Wranglers3Barracuda2LXXSommaire du match
25175Gulls1Barracuda5WSommaire du match
26179Barracuda3Wranglers2WSommaire du match
29203Barracuda-Condors-
31219Condors-Barracuda-
34236Reign-Barracuda-
36248Barracuda-Phantoms-
39263Hammers-Barracuda-
41274Barracuda-Hammers-
44297Barracuda-Bruins-
46312Thunderbirds-Barracuda-
48329Barracuda-Comets-
50341Wolf Pack-Barracuda-
53362Barracuda-Silver Knight-
54372Comets-Barracuda-
58387Barracuda-Griffins-
60400Barracuda-Eagles-
61412Monsters-Barracuda-
63430Barracuda-Canucks-
66444Reign-Barracuda-
69470Gulls-Barracuda-
72489Stars-Barracuda-
75514Barracuda-Senators-
78527Barracuda-Americans-
79535Wranglers-Barracuda-
81554Canucks-Barracuda-
84575Barracuda-Wranglers-
86588Roadrunners-Barracuda-
88605Barracuda-Stars-
90620Marlies-Barracuda-
92637Barracuda-Wolf Pack-
94645Barracuda-Admirals-
97661Firebird-Barracuda-
99684Phantoms-Barracuda-
102701Barracuda-Bears-
104719Rockets-Barracuda-
107742Moose-Barracuda-
109757Barracuda-Moose-
111769Barracuda-Reign-
113783Wild-Barracuda-
117803Barracuda-Wolves-
118811Bears-Barracuda-
122836Barracuda-Crunch-
123847Admirals-Barracuda-
126868Barracuda-Wild-
127876Crunch-Barracuda-
130903Bruins-Barracuda-
131911Barracuda-Condors-
135931Barracuda-Gulls-
137942Griffins-Barracuda-
141965Barracuda-Checkers-
142976IceHogs-Barracuda-
1451000Americans-Barracuda-
1481018Barracuda-Penguins-
1501033Eagles-Barracuda-
1511042Barracuda-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541050Barracuda-IceHogs-
1561068Senators-Barracuda-
1581081Barracuda-Marlies-
1611099Checkers-Barracuda-
1631113Barracuda-Rockets-
1671135Silver Knight-Barracuda-
1681145Barracuda-Roadrunners-
1721165Condors-Barracuda-
1741184Barracuda-Thunderbirds-
1781192Wolves-Barracuda-
1791198Barracuda-Firebird-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité13001000
Prix des billets4525
Assistance7,7706,000
Assistance PCT99.62%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
32 2295 - 99.78% 124,080$744,479$2300200

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,153,903$ 7,566,100$ 7,566,100$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,080,922$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,970,555$ 158 43,601$ 6,888,958$




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

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

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

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

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