Login

Barracuda
GP: 2 | W: 1 | L: 0 | OTL: 1 | P: 3
GF: 5 | GA: 4 | PP%: 57.14% | PK%: 50.00%
GM : BRRR | Morale : 39 | Team Overall : 59
Next Games #24 vs Wolves
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Barracuda
1-0-1, 3pts
2
FINAL
0 Admirals
1-1-0, 2pts
Team Stats
OTL1StreakW1
0-0-1Home Record0-1-0
1-0-0Away Record1-0-0
1-0-1Last 10 Games1-1-0
2.50Goals Per Game2.00
2.00Goals Against Per Game2.50
57.14%Power Play Percentage50.00%
50.00%Penalty Kill Percentage42.86%
Admirals
1-1-0, 2pts
4
FINAL
3 Barracuda
1-0-1, 3pts
Team Stats
W1StreakOTL1
0-1-0Home Record0-0-1
1-0-0Away Record1-0-0
1-1-0Last 10 Games1-0-1
2.00Goals Per Game2.50
2.50Goals Against Per Game2.00
50.00%Power Play Percentage57.14%
42.86%Penalty Kill Percentage50.00%
Wolves
0-0-0, 0pts
2022-09-16
Barracuda
1-0-1, 3pts
Team Stats
N/AStreakOTL1
0-0-0Home Record0-0-1
0-0-0Away Record1-0-0
0-0-0Last 10 Games1-0-1
0.00Goals Per Game2.50
0.00Goals Against Per Game2.00
0.00%Power Play Percentage57.14%
0.00%Penalty Kill Percentage50.00%
IceHogs
0-0-0, 0pts
2022-09-17
Barracuda
1-0-1, 3pts
Team Stats
N/AStreakOTL1
0-0-0Home Record0-0-1
0-0-0Away Record1-0-0
0-0-0Last 10 Games1-0-1
0.00Goals Per Game2.50
0.00Goals Against Per Game2.00
0.00%Power Play Percentage57.14%
0.00%Penalty Kill Percentage50.00%
Barracuda
1-0-1, 3pts
2022-09-20
Islanders
0-0-0, 0pts
Team Stats
OTL1StreakN/A
0-0-1Home Record0-0-0
1-0-0Away Record0-0-0
1-0-1Last 10 Games0-0-0
2.50Goals Per Game0.00
2.00Goals Against Per Game0.00
57.14%Power Play Percentage0.00%
50.00%Penalty Kill Percentage0.00%
Team Leaders
Wins
Jaroslav Halak
1
Save Percentage
Jaroslav Halak
0.934

Team Stats
Goals For
5
2.50 GFG
Shots For
62
31.00 Avg
Power Play Percentage
57.1%
4 GF
Offensive Zone Start
43.5%
Goals Against
4
2.00 GAA
Shots Against
61
30.50 Avg
Penalty Kill Percentage
50.0%
2 GA
Defensive Zone Start
34.3%
Team Info

General ManagerBRRR
CoachRon Wilson
DivisionPacific Division
ConferenceWestern Conference
CaptainJoe Thornton
Assistant #1Carl Hagelin
Assistant #2Rafael Harvey-Pinard


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team30
Farm Team18
Contract Limit48 / 90
Prospects37


Team History

This Season1-0-1 (3PTS)
History101-50-24 (0.577%)
Playoff Appearances2
Playoff Record (W-L)18-12
Stanley Cup0


Filter Tips
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
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Carl Hagelin (A)0X100.005841876780836959516759696092910406403431,200,000$
2Joe Thornton (C)0X100.005750825890775356676564646299990406204311,000,000$
3Nathan Smith (R)0X100.00953992727883474961666662635063040610232925,000$
4Rafael Harvey-Pinard (R) (A)0X100.00984176637860566246676359625567040600231925,000$
5Scott Reedy (R)0XX100.00544680588665616160626761645262040590231850,000$
6Jasper Weatherby (R)0X100.00715680559170675876646163615161040590241925,000$
7Dakota Joshua0X100.00955280588662545960656161615667040590261925,000$
8Michael Pezzetta0X100.00986475578768575559646261625265040590241925,000$
9Hudson Fasching0X100.00794677568660506067656061605566040580271750,000$
10Joel L'Esperance0X100.00504975548860406260666562635866040580271925,000$
11Josiah Slavin (R)0X100.00624777598360515855636263615262040580231750,000$
12Jacob Middleton0X100.00867087588982747020656379625266040670262750,000$
13Mattias Samuelsson0X100.00935289569273646820695774595164040650222925,000$
14Joel Hanley0X100.00784388608071526720646272615665040630314750,000$
15Kale Clague0X100.00544382638176566220696168615363040610241850,000$
16Ben Gleason0X100.00505075597960487320686268615363040590241850,000$
17Santeri Hatakka (R)0X100.00574378568260446720645968605161040580213850,000$
18Brayden Pachal0X100.00705675518560536420615764595363040580231925,000$
Scratches
1Paul Cotter0XX100.00935275568560525946626461625467038580221800,000$
2John Leonard0X100.00684478588260495952636360625161038570241925,000$
3Tanner Kero0X100.00564179608063485764645762596270038570301925,000$
4Hugh McGing0X100.00503975597760455840646062605564038560241800,000$
5Bryce Kindopp (R)0X100.00504675578160535746635955605363038550231875,000$
6Mathias Laferriere (R)0XXX100.00504175548160375140605662585161038530222850,000$
7Philippe Daoust (R)0X100.00503775597760105560645562585060038530213850,000$
8Matthew Robertson (R)0X100.00504575518660436520625768595161038570213850,000$
9Declan Carlile (R)0X100.00504375548360106720636068605161038550222925,000$
TEAM AVERAGE100.0067477958836650614464616461566603959
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jaroslav Halak100.0067696681737171737269719178040710
2Matt Villalta100.0066737087707067717068696867040690
Scratches
1Beck Warm (R)100.0042535083464645474643456867038510
TEAM AVERAGE100.005865628463626164636062767103964
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ron Wilson75757575757575CAN668500,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1Joe ThorntonBarracuda (SJS)C2033140244850.00%44924.5802203000010040.00%521001.2200000000
2Carl HagelinBarracuda (SJS)LW221312019121216.67%04824.3120233000000048.48%3320001.2300000000
3Nathan SmithBarracuda (SJS)C21231003770014.29%14221.3702203000000050.00%601001.4000000010
4Scott ReedyBarracuda (SJS)C/RW2022-200269260.00%24020.2102213000010050.00%222000.9900000000
5Rafael Harvey-PinardBarracuda (SJS)LW2022-100674370.00%34221.0702203000020057.89%3800000.9500000001
6Jacob MiddletonBarracuda (SJS)D2202-2003242250.00%35427.212022300002100.00%000000.7400000010
7Ben GleasonBarracuda (SJS)D2000000071100.00%23015.150000000001000.00%000000.0000000000
8Santeri HatakkaBarracuda (SJS)D2000000140000.00%12713.930000000000000.00%001000.0000000000
9Jasper WeatherbyBarracuda (SJS)C2000000121110.00%12713.7800000000000073.33%1510000.0000000000
10Mattias SamuelssonBarracuda (SJS)D2000100251010.00%24020.280000200001000.00%002000.0000000000
11Hudson FaschingBarracuda (SJS)RW2000000100000.00%073.580000000000000.00%000000.0000000000
12Dakota JoshuaBarracuda (SJS)C2000-200229340.00%24120.980000000000000.00%010000.0000000000
13Joel L'EsperanceBarracuda (SJS)C2000000100000.00%010.810000000000000.00%000000.0000000000
14Kale ClagueBarracuda (SJS)D2000120151200.00%23919.820000200002000.00%012000.0000000000
15Josiah SlavinBarracuda (SJS)LW2000000372110.00%02512.7800000000020085.71%700000.0000000000
16Joel HanleyBarracuda (SJS)D2000-100344110.00%25125.840000300000000.00%002000.0000000000
17Michael PezzettaBarracuda (SJS)LW2000000623130.00%13216.2200003000000066.67%310000.0000000000
Team Total or Average3451015-38038736226338.06%2660317.7648126340000181057.80%1091011000.5000000021
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jaroslav HalakBarracuda (SJS)21010.9341.971220146137000.000020100
Team Total or Average21010.9341.971220146137000.000020100


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Beck WarmBarracuda (SJS)G237/1/1999Yes172 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Ben GleasonBarracuda (SJS)D243/25/1998No180 Lbs6 ft1NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLink
Brayden PachalBarracuda (SJS)D238/23/1999No204 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Bryce KindoppBarracuda (SJS)RW236/14/1999Yes185 Lbs6 ft1NoNoNo1Pro & Farm875,000$865,741$875,000$865,741$0$0$NoLink
Carl Hagelin (1 Way Contract)Barracuda (SJS)LW348/23/1988No183 Lbs6 ft0NoNoNo3Pro & Farm1,200,000$1,187,302$1,200,000$1,187,302$75,000$74,206$No1,200,000$1,200,000$Link
Dakota JoshuaBarracuda (SJS)C265/15/1996No206 Lbs6 ft3NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Declan CarlileBarracuda (SJS)D225/18/2000Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Hudson FaschingBarracuda (SJS)RW277/28/1995No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Hugh McGingBarracuda (SJS)LW247/11/1998No175 Lbs5 ft10NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Jacob MiddletonBarracuda (SJS)D261/2/1996No219 Lbs6 ft3NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Link
Jaroslav Halak (1 Way Contract)Barracuda (SJS)G375/13/1985No185 Lbs5 ft10YesNoNo2Pro & Farm1,500,000$1,484,127$1,500,000$1,484,127$375,000$371,032$No1,500,000$Link
Jasper WeatherbyBarracuda (SJS)C241/22/1998Yes222 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Joe ThorntonBarracuda (SJS)C437/2/1979No220 Lbs6 ft4YesNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLink
Joel Hanley (1 Way Contract)Barracuda (SJS)D316/8/1991No190 Lbs5 ft11NoNoNo4Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$750,000$Link
Joel L'EsperanceBarracuda (SJS)C278/18/1995No215 Lbs6 ft2NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
John LeonardBarracuda (SJS)LW248/7/1998No196 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Josiah SlavinBarracuda (SJS)LW2312/31/1998Yes189 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Kale ClagueBarracuda (SJS)D246/5/1998No190 Lbs6 ft0NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLink
Mathias LaferriereBarracuda (SJS)C/LW/RW226/27/2000Yes185 Lbs6 ft1NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Matt VillaltaBarracuda (SJS)G237/1/1999No187 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Matthew RobertsonBarracuda (SJS)D219/1/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Mattias SamuelssonBarracuda (SJS)D223/14/2000No227 Lbs6 ft4NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Michael PezzettaBarracuda (SJS)LW243/13/1998No216 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Nathan SmithBarracuda (SJS)C2310/19/1998Yes177 Lbs6 ft0NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Paul CotterBarracuda (SJS)C/RW2211/16/1999No206 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Philippe DaoustBarracuda (SJS)C215/11/2001Yes169 Lbs6 ft0NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Rafael Harvey-PinardBarracuda (SJS)LW231/6/1999Yes182 Lbs5 ft9NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Santeri HatakkaBarracuda (SJS)D211/15/2001Yes191 Lbs6 ft1NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Scott ReedyBarracuda (SJS)C/RW234/4/1999Yes205 Lbs6 ft2NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLink
Tanner KeroBarracuda (SJS)C307/24/1992No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3025.33195 Lbs6 ft11.57905,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joe ThorntonCarl HagelinNathan Smith40122
2Dakota JoshuaRafael Harvey-PinardScott Reedy30122
3Dakota JoshuaJasper WeatherbyMichael Pezzetta20122
4Carl HagelinJosiah SlavinJoe Thornton10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJacob Middleton40122
2Kale ClagueMattias Samuelsson30122
3Santeri HatakkaBen Gleason20122
4Joel HanleyJacob Middleton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joe ThorntonCarl HagelinNathan Smith60122
2Michael PezzettaRafael Harvey-PinardScott Reedy40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJacob Middleton60122
2Kale ClagueMattias Samuelsson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Rafael Harvey-PinardJoe Thornton60122
2Nathan SmithCarl Hagelin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kale ClagueJacob Middleton60122
2Ben GleasonMattias Samuelsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Carl Hagelin60122Joel HanleyJacob Middleton60122
2Nathan Smith40122Kale ClagueMattias Samuelsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Carl HagelinNathan Smith60122
2Rafael Harvey-PinardJoe Thornton40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben GleasonJacob Middleton60122
2Santeri HatakkaMattias Samuelsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joe ThorntonCarl HagelinNathan SmithMattias SamuelssonJacob Middleton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joe ThorntonCarl HagelinNathan SmithMattias SamuelssonJacob Middleton
Extra Forwards
Normal PowerPlayPenalty Kill
Rafael Harvey-Pinard, Carl Hagelin, Michael PezzettaRafael Harvey-Pinard, Joe ThorntonJoe Thornton
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Middleton, Mattias Samuelsson, Joel HanleyJacob MiddletonMattias Samuelsson, Jacob Middleton
Penalty Shots
Rafael Harvey-Pinard, Michael Pezzetta, Joe Thornton, Jasper Weatherby, Dakota Joshua
Goalie
#1 : Jaroslav Halak, #2 : Matt Villalta
Custom OT Lines Forwards
Michael Pezzetta, Jasper Weatherby, Scott Reedy, Dakota Joshua, Joel L'Esperance, Josiah Slavin, Josiah Slavin, Carl Hagelin, Joe Thornton, Nathan Smith, Rafael Harvey-Pinard
Custom OT Lines Defensemen
Joel Hanley, Jacob Middleton, Ben Gleason, Mattias Samuelsson, Santeri Hatakka


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Admirals210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
Total210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
_Since Last GM Reset210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
_Vs Conference210001005411000010034-11100000020230.750510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
23OTL15101562612683801
All Games
GPWLOTWOTL SOWSOLGFGA
210010054
Home Games
GPWLOTWOTL SOWSOLGFGA
100010034
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000020
Last 10 Games
WLOTWOTL SOWSOL
100100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
7457.14%4250.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9252801310
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
344772.34%193751.35%102441.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
401939194222


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2022-09-091Barracuda2Admirals0WBoxScore
2 - 2022-09-102Admirals4Barracuda3LXBoxScore
8 - 2022-09-1624Wolves-Barracuda-
9 - 2022-09-1738IceHogs-Barracuda-
12 - 2022-09-2051Barracuda-Islanders-
14 - 2022-09-2264Barracuda-Wolf Pack-
16 - 2022-09-2475Barracuda-Comets-
17 - 2022-09-2591Barracuda-Phantoms-
19 - 2022-09-27107Silver Knights-Barracuda-
21 - 2022-09-29119Marlies-Barracuda-
23 - 2022-10-01128Crunch-Barracuda-
26 - 2022-10-04158Gulls-Barracuda-
28 - 2022-10-06173Checkers-Barracuda-
30 - 2022-10-08188Gulls-Barracuda-
35 - 2022-10-13218Barracuda-Thunderbirds-
36 - 2022-10-14223Barracuda-Stars-
38 - 2022-10-16239Barracuda-Wild-
40 - 2022-10-18256Barracuda-Silver Knights-
42 - 2022-10-20272Griffins-Barracuda-
44 - 2022-10-22288Wolf Pack-Barracuda-
46 - 2022-10-24299Senators-Barracuda-
48 - 2022-10-26316Barracuda-Firebirds-
50 - 2022-10-28331Reign-Barracuda-
52 - 2022-10-30344Canucks-Barracuda-
54 - 2022-11-01354Barracuda-Rocket-
55 - 2022-11-02363Barracuda-Marlies-
58 - 2022-11-05383Barracuda-Senators-
59 - 2022-11-06395Barracuda-Americans-
62 - 2022-11-09418Canucks-Barracuda-
64 - 2022-11-11433Barracuda-Gulls-
68 - 2022-11-15465Roadrunners-Barracuda-
72 - 2022-11-19496Barracuda-Reign-
73 - 2022-11-20501Heat-Barracuda-
75 - 2022-11-22517Heat-Barracuda-
77 - 2022-11-24532Wild-Barracuda-
82 - 2022-11-29556Barracuda-Canucks-
84 - 2022-12-01573Phantoms-Barracuda-
86 - 2022-12-03586Barracuda-Stars-
87 - 2022-12-04592Barracuda-IceHogs-
92 - 2022-12-09627Barracuda-Gulls-
93 - 2022-12-10636Bruins-Barracuda-
96 - 2022-12-13657Barracuda-Roadrunners-
97 - 2022-12-14661Barracuda-Reign-
99 - 2022-12-16676Condors-Barracuda-
102 - 2022-12-19697Comets-Barracuda-
104 - 2022-12-21716Stars-Barracuda-
107 - 2022-12-24736Barracuda-Monsters-
108 - 2022-12-25748Barracuda-Bruins-
110 - 2022-12-27760Barracuda-Griffins-
113 - 2022-12-30783Barracuda-Wolves-
114 - 2022-12-31793Barracuda-Penguins-
124 - 2023-01-10814Barracuda-Crunch-
126 - 2023-01-12823Barracuda-Checkers-
129 - 2023-01-15847Barracuda-Bears-
131 - 2023-01-17863Penguins-Barracuda-
133 - 2023-01-19877Barracuda-Silver Knights-
135 - 2023-01-21893Americans-Barracuda-
137 - 2023-01-23904Firebirds-Barracuda-
140 - 2023-01-26929Admirals-Barracuda-
142 - 2023-01-28946IceHogs-Barracuda-
145 - 2023-01-31967Rocket-Barracuda-
147 - 2023-02-02983Thunderbirds-Barracuda-
149 - 2023-02-04992Bears-Barracuda-
151 - 2023-02-061006Barracuda-Moose-
152 - 2023-02-071019Barracuda-Eagles-
154 - 2023-02-091032Barracuda-Thunderbirds-
156 - 2023-02-111051Wild-Barracuda-
159 - 2023-02-141074Monsters-Barracuda-
161 - 2023-02-161090Firebirds-Barracuda-
163 - 2023-02-181107Islanders-Barracuda-
165 - 2023-02-201118Barracuda-Condors-
168 - 2023-02-231145Barracuda-Canucks-
170 - 2023-02-251154Barracuda-Heat-
173 - 2023-02-281185Moose-Barracuda-
175 - 2023-03-021199Silver Knights-Barracuda-
177 - 2023-03-041215Barracuda-Roadrunners-
180 - 2023-03-071239Eagles-Barracuda-
182 - 2023-03-091256Eagles-Barracuda-
184 - 2023-03-111259Condors-Barracuda-
186 - 2023-03-131275Barracuda-Moose-
188 - 2023-03-151297Barracuda-Heat-
189 - 2023-03-161308Barracuda-Condors-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
25,080$ 2,370,000$ 2,370,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,540$ 25,080$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 187 12,540$ 2,344,980$




OverallHomeVisitor
Year 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
Regular Season
118234250105621951742141181106231100871341161404331958781071953295244941716721269381196785489232374728618621083330.56%1383872.46%3821160651.12%857165251.88%549101753.98%170990515738061703827
118234250105621951742141181106231100871341161404331958781071953295244941716721269381196785489232374728618621083330.56%1383872.46%3821160651.12%857165251.88%549101753.98%170990515738061703827
12210001005411000010034-1110000002023510150113106292528061268387457.14%4250.00%0344772.34%193751.35%102441.67%401939194222
Total Regular Season166695002011124395352438336220125622031782583332808662192174182173956681063819831451354254481631195917361784707152058037622237031.39%2807872.14%61676325951.43%1733334151.87%1108205853.84%346018293186163334501678
Playoff
111596000004548-3743000002124-385300000242401845711160011171525421571941603158517988359241041.67%441077.27%020339551.39%17637247.31%12124349.79%332182324150305151
111596000004548-3743000002124-385300000242401845711160011171525421571941603158517988359241041.67%441077.27%020339551.39%17637247.31%12124349.79%332182324150305151
Total Playoff301812000009096-61486000004248-616106000004848036901422320022343041084314388320621170358176718482041.67%882077.27%040679051.39%35274447.31%24248649.79%665365649300611302