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

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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
1Ross JohnstonX100.008785606696747964576160655974732775650
2Samuel HeleniusX100.008762726497728362725660615964656775630
3Dylan GambrellXX100.006037876269857661696360656270725475620
4Akil ThomasX100.006838896573777159636058626466687075620
5Samuel FagemoXX100.006538886274918659605864576367666975620
6Jake WiseX100.005937906068767958625957566166686375600
7Samu TuomaalaX100.005838826067827158676457565963657375600
8Bryce McConnell-BarkerX100.006739875876728656605457555962646375590
9Thomas BordeleauX100.005538755966818258675756555964667375590
10Cameron ButlerX100.007946585488676952555153575264664375570
11Wyatt NewpowerX100.007343695782657756305553584669713675590
Scratches
1Gabe Perreault (R)X100.006338906770858669626668637262648175650
2Matvei Gridin (R)X100.006338926774898868656962646761638275650
3Nathan BastianXX100.008176836690767863555661646271696075640
4Aatu Jamsen (R)X100.005937865868697757535559545863654975590
5Jakub StanclX100.007539935684717255625453585561636275590
6Jacob Julien (R)X100.007439885883697156595455575362645675590
7Josh FilmonX100.006037885469646752505153555262644975560
8Travis MitchellX100.007544635887768556305561595267693775610
9Austin StrandX100.007753745786688059305854564569713675600
10Nick CicekX100.007556605684667257305855594766684275590
11Turner OttenbreitX100.007345635682668055305453574569713675590
12Aaron NessX100.005838795667647654305553574576813675580
13Cam Allen (R)X100.006439715873706757305556584761635775580
14Travis HoweXX100.007769525386607052555150565272742775570
15Braden Doyle (R)X100.005744565865646254305050564565674775550
TEAM AVERAGE100.00694677597873775851575758556668547560
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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
1Matt Villalta100.00768682817574767574767567775675650
2Victor Ostman100.00757975877473757473757466755575640
3Jack LaFontaine100.00727367817170727170727168815475630
4Topias Leinonen (R)100.00627470986160626160626162677475570
TEAM AVERAGE100.0071787487706971706971706675607562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
Aaron NessD361990-05-18No184 Lbs5 ft10NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Aatu JamsenRW232003-07-22Yes154 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Akil ThomasC262000-01-02No195 Lbs6 ft0NoNoNo1RFAPro & Farm981,800$0$0$NoLink / NHL Link
Austin StrandD291997-02-17No215 Lbs6 ft3NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Braden DoyleD252001-08-24Yes162 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Bryce McConnell-BarkerC222004-06-04No191 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cam AllenD212005-01-07Yes194 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cameron ButlerRW242002-06-09No210 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Dylan GambrellC/RW301996-08-26No185 Lbs5 ft11NoNoNo1UFAPro & Farm1,500,000$0$0$NoLink / NHL Link
Gabe PerreaultRW212005-05-07Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jack LaFontaineG281998-01-06No204 Lbs6 ft2NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Jacob JulienC222004-09-12Yes181 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jake WiseC262000-02-28No189 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jakub StanclC212005-04-10No201 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Josh FilmonLW222004-03-18No158 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matt VillaltaG271999-06-03No190 Lbs6 ft3NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Matvei GridinRW202006-03-01Yes182 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Nathan BastianC/RW291997-12-06No217 Lbs6 ft4NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Nick CicekD262000-05-29No201 Lbs6 ft3NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Ross JohnstonLW321994-02-18No232 Lbs6 ft5NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Samu TuomaalaRW232003-01-08No174 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Samuel FagemoLW/RW262000-03-14No200 Lbs6 ft0NoNoNo1RFAPro & Farm956,500$0$0$NoLink / NHL Link
Samuel HeleniusC242002-11-26No225 Lbs6 ft6NoNoNo2RFAPro & Farm998,600$0$0$NoLink / NHL Link
Thomas BordeleauC242002-01-03No180 Lbs5 ft10NoNoNo1RFAPro & Farm865,000$0$0$NoLink / NHL Link
Topias LeinonenG222004-01-25Yes234 Lbs6 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Travis HoweRW/D321994-02-10No198 Lbs6 ft4NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Travis MitchellD271999-11-25No203 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Turner OttenbreitD291997-07-09No192 Lbs6 ft3NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Victor OstmanG262000-10-03No205 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Wyatt NewpowerD291997-12-09No194 Lbs6 ft3NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3025.73194 Lbs6 ft21.40691,730$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Samuel FagemoSamuel HeleniusSamu Tuomaala40122
2Thomas BordeleauDylan Gambrell30122
3Ross JohnstonAkil ThomasCameron Butler20122
4Samuel HeleniusJake WiseSamuel Fagemo10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Wyatt NewpowerJake Wise20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Samuel FagemoSamuel HeleniusSamu Tuomaala60122
2Thomas BordeleauAkil Thomas40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Wyatt Newpower40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Samuel HeleniusSamuel Fagemo60122
2Thomas BordeleauAkil Thomas40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Wyatt Newpower40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Samuel Helenius6012260122
2Samuel Fagemo4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Samuel HeleniusSamuel Fagemo60122
2Thomas BordeleauAkil Thomas40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Wyatt Newpower40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Samuel FagemoSamuel HeleniusSamu Tuomaala
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Samuel FagemoSamuel HeleniusSamu Tuomaala
Extra Forwards
Normal PowerPlayPenalty Kill
Samuel Helenius, Samuel Fagemo, Thomas BordeleauSamuel Fagemo, Samuel HeleniusSamuel Helenius
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
Samuel Helenius, Samuel Fagemo, Thomas Bordeleau, Akil Thomas,
Goalie
#1 : , #2 :


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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
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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



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
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,075,190$ 2,075,190$ 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$ 0 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