Barracuda

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : | Morale : 75 | Team Overall : 60
Next Games #5 vs Monsters

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 SP
Scratches
1Gabe Perreault (R)X100.006338906770858669626668637262648175650
2Liam OhgrenX100.006836957072858766646265636763648375650
3Matvei Gridin (R)X100.006338926774898868656962646761638275650
4Ryan WintertonXXX100.007039906775818662606561646263656675640
5Samuel HeleniusX100.008762726497728362725660615964656775630
6Akil ThomasX100.006838896573777159636058626466687075620
7Samuel FagemoXX100.006538886274918659605864576367666975620
8Jake WiseX100.005937906068767958625957566166686375600
9Samu TuomaalaX100.005838826067827158676457565963657375600
10Aatu Jamsen (R)X100.005937865868697757535559545863654975590
11Bryce McConnell-BarkerX100.006739875876728656605457555962646375590
12Jakub StanclX100.007539935684717255625453585561636275590
13Jacob Julien (R)X100.007439885883697156595455575362645675590
14Thomas BordeleauX100.005538755966818258675756555964667375590
15Cameron ButlerX100.007946585488676952555153575264664375570
16Josh FilmonX100.006037885469646752505153555262644975560
17Sam Dickinson (R)X100.006637917383858767306852625059608775640
18Colton Huard (R)X100.008249675891647056305753604666684275600
19Cam Allen (R)X100.006439715873706757305556584761635775580
20Braden Doyle (R)X100.005744565865646254305050564565674775550
TEAM AVERAGE100.00674082617676775955585759586365647561
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
Scratches
1Topias Leinonen (R)100.00627470986160626160626162677475570
TEAM AVERAGE100.0062747098616062616062616267747557
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Madden62717063797469CAN5321,000,000$


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
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


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aatu JamsenRW242003-07-22Yes154 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Akil ThomasC272000-01-02No195 Lbs6 ft0NoNoNo1RFAPro & Farm981,800$0$0$NoLink / NHL Link
Braden DoyleD262001-08-24Yes162 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Bryce McConnell-BarkerC232004-06-04No191 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cam AllenD222005-01-07Yes194 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cameron ButlerRW252002-06-09No210 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Colton Huard (1 Way Contract)D272000-11-27Yes225 Lbs6 ft4NoNoNo3RFAPro & Farm1,249,999$1,249,999$1,249,999$NoLink / NHL Link
Gabe PerreaultRW222005-05-07Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jacob JulienC232004-09-12Yes181 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jake WiseC272000-02-28No189 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jakub StanclC222005-04-10No201 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Josh FilmonLW232004-03-18No158 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Liam OhgrenLW232004-01-28No187 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matvei GridinRW212006-03-01Yes182 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ryan WintertonC/LW/RW242003-09-04No175 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Sam DickinsonD212006-06-07Yes200 Lbs6 ft3NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Samu TuomaalaRW242003-01-08No174 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Samuel FagemoLW/RW272000-03-14No200 Lbs6 ft0NoNoNo1RFAPro & Farm956,500$0$0$NoLink / NHL Link
Samuel HeleniusC252002-11-26No225 Lbs6 ft6NoNoNo2RFAPro & Farm998,600$0$0$NoLink / NHL Link
Thomas BordeleauC252002-01-03No180 Lbs5 ft10NoNoNo1RFAPro & Farm865,000$0$0$NoLink / NHL Link
Topias LeinonenG232004-01-25Yes234 Lbs6 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2124.00190 Lbs6 ft12.05946,519$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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 - 2026-09-195Monsters-Barracuda-
2 - 2026-09-2029Barracuda-Eagles-
4 - 2026-09-2244Barracuda-Wolf Pack-
5 - 2026-09-2363Barracuda-Marlies-
7 - 2026-09-2573Comets-Barracuda-
8 - 2026-09-2696Canucks-Barracuda-
10 - 2026-09-28104Admirals-Barracuda-
11 - 2026-09-29125Barracuda-Bruins-
13 - 2026-10-01132Griffins-Barracuda-
14 - 2026-10-02154Barracuda-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,862,690$ 1,862,690$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 14 0$ 0$




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
2020562522044101881862281311013008890-2281211031101009646418834753511065665219670625692623189052540113921723017.44%1673777.84%11088208852.11%1019199950.98%48091752.34%13559341294410736369
2021823532034622952821341181502312149141841171701150146141594295517812030116937730730101210071023260972954020082795319.00%2395776.15%11699318253.39%1469277053.03%685135950.40%2013140218966011061533
2022824522064413202724841171504320142143-1412870212117812949115320572892120136997532190108510411055256982973420023377722.85%2887275.00%51676328051.10%1399281749.66%670136449.12%2038141818665991058534
20238234360422427226111412214030111481192941122201213124142-188627249376541098848427470937854931265378577619102835720.14%3206180.94%41659301754.99%1643296555.41%721133454.05%1963134719426181057521
20248243240216625020248412114011221219625412210010441291062310925044369305091747725320826842832234765554018812504317.20%2123185.38%21448280351.66%1338265750.36%661123153.70%1937133319746141071527
202582293902543223256-3341161601332127128-14113230121196128-327822339461724077608024490773775875245171950518622614316.48%2214977.83%21368273450.04%1337271049.34%667130351.19%1916131519946131058519
Total Regular Season46621117502120231615481459892331078501213977757175823310490097149773742315461548276643148160583476445159870525852115339145194242349611055158230319.15%144730778.78%1589381710452.26%82051591851.55%3884750851.73%11225775210967345860443006
Playoff
2020116500000383715410000018126624000002025-5123873111000191174240138116130466142117282331133.33%45980.00%024047051.06%23648648.56%10020648.54%2861972959115576
2021734000002427-33210000013121413000001115-4624416510061052320926561245857614722627.27%32778.13%113727450.00%13327348.72%6112050.83%176119176549447
20222016400000886523119200000493217972000003933632881532410004325167930280259232629201153418882123.86%621870.97%037779947.18%34069448.99%16835647.19%517363448147263137
202415105000005537188620000032171574300000232032055100155010211617487015314316748911682362491122.45%38586.84%024351747.00%27755849.64%12523752.74%355246387118202101
Total Playoff53351800000205166392721600000112733926141200000939307020536757211089624519360663583590182954442812091924925.52%1773977.97%1997206048.40%986201149.03%45491949.40%13359261307411715362