Gulls

GP: 72 | W: 47 | L: 20 | OTL: 5 | P: 99
GF: 349 | GA: 240 | PP%: 27.16% | PK%: 78.84%
GM : Loic Roberge | Morale : 50 | Team Overall : 62

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
1Simon Holmstrom0XX100.006838956581798564596062656662638150640
2Roby Jarventie0X99.006841776677878065636064596661637750630
3Linus Karlsson0XX98.006441716373897362656163596264666250620
4Zack Kassian0X100.007685716486778061576059556079735250620
5Lauri Pajuniemi0X100.006538886274848260635961586264665650620
6Cal O'Reilly0X99.006336945872718557655956576077822250610
7Tim Schaller0XX100.007240845681788555605657585673752650610
8Oskar Back0XX100.007538955884698557676054595663656750610
9Cam York0X100.006035927167888669307060655262648450660
10Gabriel Carlsson0X100.007441846388767962306660675166687550660
11Jordan Harris0X100.006134866769897366306959705262636550660
12Arber Xhekaj0X100.008486556594866964306663575261624250650
13Dillon Heatherington0X100.007843756089768257305958624968725950650
14Keaton Middleton0X100.009049605599718254305853634665675950640
15Paul LaDue0X100.007540835684788055305450674571733850640
16Frederic Allard0X100.006239816473807762305958604966686150630
17Mason Geertsen0X100.008279505692727554305253585168705250620
18Drew Helleson0X100.006941766381797562305860576162647350620
Scratches
1Joseph LaBate0XX85.458271555791828056585558615770724950620
2Jonathan Gruden0XX100.006539716069758559655860576063656250600
3Aidan Dudas0X100.006136865861808557595857535763655950590
4Matt Rempe0X100.009048615499716953575255615461634950590
5Jacob Perreault0X100.006039715971777958575556595561638050590
6Mason Primeau0X100.008142745590697454625357605662645650590
7Samuel Laberge0XXX100.007343705682717855595657585666684250590
8Travis Barron0X100.006946635678728155605657585465674750590
9Viktor Lodin0XX100.006541726077786659655856575864666150590
10Blade Jenkins0XX100.006737955476667453565254555963655650570
11Brendan Warren0XX100.006438875373707752575354525766686150560
12Dennis Gilbert0X32.637872706584767962306359655067685450660
13Michael Vukojevic0X100.007640815385647752305453574562646550600
14Simon Lundmark0X100.007239925581668254305653554563657150600
15Ty Emberson0X100.006738895676668454305755564763656750600
16Hunter Skinner0X100.006841765677677355305951564562646150590
17Vincent Sevigny0X100.006939835678646955305754564662644350590
18William Trudeau0X100.006541715874737057306055564761636050590
19Layton Ahac0X100.006939895578647252305351544562646650580
TEAM AVERAGE97.65714578598075785846585759546567585061
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
1Eetu Makiniemi100.00746364777372747372747364716050700
2Taylor Gauthier100.00706162766968706968706962674450670
Scratches
1Daniil Chechelev100.00645556816362646364656362676350630
2Ryan Fanti100.00645657826362646362646364714350630
TEAM AVERAGE100.0068596079676668676768676369535066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan67697968787272CAN5212,500,000$


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
1Linus KarlssonGulls (Ana)C/RW72565210833661013313039410930414.21%34138319.22132033802470003423174.12%8500041.560000210713
2Roby JarventieGulls (Ana)LW724557102352353910433310725713.51%20126017.51151934791950110874167.81%14600011.62110001035
3Joseph LaBateGulls (Ana)C/LW7230518130119152081092166616013.89%13114315.8915183353189000024170.24%136100001.4200012446
4Jordan HarrisGulls (Ana)D4918506839495655783336721.69%5189718.32981747930000105400.00%000001.5100100652
5Simon HolmstromGulls (Ana)LW/RW3540256527341066672306916417.39%2173821.119716581261123739071.33%14300031.7601002934
6Lauri PajuniemiGulls (Ana)RW722427513020051401765112313.64%116288.7310124000002064.10%3900011.6200000242
7Oskar BackGulls (Ana)C/RW7229215041611584821744614616.67%2586211.98000010000183072.04%39700011.1600011452
8Brad MaloneAnaheim DucksC/LW29192948215559365132409614.39%2265922.7441014339810171213274.79%36100011.4612001135
9Cam YorkGulls (Ana)D6673037-14180115361264011.48%3392113.9656112765000081200.00%000000.8000000123
10Dennis GilbertGulls (Ana)D70729361012020210298019538.75%55107515.37410143676000185000.00%000000.6700103022
11Zack KassianGulls (Ana)RW411222341259154142115268110.43%559014.401781782000001176.92%3900001.1500300132
12Tim SchallerGulls (Ana)C/LW4414163023220474678166517.95%749611.28000000003420071.27%46300001.2100000022
13Arber XhekajGulls (Ana)D7241721208820982331111412.90%194846.730000000000100.00%000000.8700102110
14Dillon HeatheringtonGulls (Ana)D726142020315241639122215.38%294776.630000000000100.00%000000.8400100001
15Gabriel CarlssonGulls (Ana)D3229111380451417101211.76%143129.7501169000115000.00%000000.7100000100
16Cal O'ReillyGulls (Ana)C44088200762010150.00%1771.76055829000030075.00%4000002.0600000001
17Keaton MiddletonGulls (Ana)D72066-3200341010450.00%101702.360000000000000.00%000000.7100000000
18Frederic AllardGulls (Ana)D442353405193222.22%0731.6710151000003010.00%000001.3600000020
19Paul LaDueGulls (Ana)D46224-4003433266.67%31042.260000000007000.00%000000.7700000000
20Nolan FooteAnaheim DucksLW8112440513246164.17%118823.510115270003450080.00%1000000.2100000000
21Erik GustafssonAnaheim DucksD3011-300028220.00%26722.5001169000014000.00%000000.3000000000
22Mason GeertsenGulls (Ana)D440110201401110.00%3180.4201101000015000.00%000001.0800000000
23Brendan SmithAnaheim DucksD3011-320535040.00%66622.1301129000112000.00%000000.3000000000
24Drew HellesonGulls (Ana)D44000000522000.00%4471.0800000000244000.00%000000.0000000000
Team Total or Average117831847279032483512512939182241670165114.19%3891274610.827711519246412782242482637771.30%3084000111.24247213504650
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
1Taylor GauthierGulls (Ana)169210.9131.9586102283220001.00031325010
2Eetu MakiniemiGulls (Ana)128400.9092.5862903272960201.0004120110
Team Total or Average2817610.9112.22149005556180201.00072525120


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
Aidan DudasLW232000-06-15No162 Lbs5 ft8NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arber XhekajD232001-01-30No238 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Blade JenkinsC/LW232000-08-11No195 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brendan WarrenC/LW261997-05-07No191 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cal O'ReillyC371986-09-30No188 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cam YorkD232001-01-05No175 Lbs5 ft11NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Daniil ChechelevG232001-02-23No187 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dennis Gilbert (Out of Payroll)D271996-10-30No216 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$YesLink / NHL Link
Dillon HeatheringtonD281995-05-09No215 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Drew HellesonD232001-03-26No190 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Eetu MakiniemiG251999-04-19No184 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Frederic AllardD261997-12-27No179 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Gabriel CarlssonD271997-01-02No195 Lbs6 ft5NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Hunter SkinnerD222001-04-29No182 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Jacob PerreaultRW222002-04-15No192 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Jonathan GrudenC/LW232000-05-04No172 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan HarrisD232000-07-07No189 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joseph LaBate (Out of Payroll)C/LW311993-04-16No210 Lbs6 ft5NoNoNo2UFAPro & Farm500,000$0$0$YesLink / NHL Link
Keaton MiddletonD261998-02-10No240 Lbs6 ft6NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Lauri PajuniemiRW241999-09-12No196 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Layton AhacD232001-02-22No188 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Linus KarlssonC/RW241999-11-16No178 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mason GeertsenD291995-04-19No227 Lbs6 ft4NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mason PrimeauC222001-07-28No205 Lbs6 ft5NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Matt RempeC212002-06-29No240 Lbs6 ft8NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Michael VukojevicD222001-06-08No207 Lbs6 ft3NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Oskar BackC/RW242000-03-12No205 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Paul LaDueD311992-09-06No200 Lbs6 ft3NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Roby JarventieLW212002-09-08No184 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Ryan FantiG241999-10-03No194 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel LabergeC/LW/RW271997-04-10No206 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Simon HolmstromLW/RW222001-05-24No205 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Simon LundmarkD232000-10-08No201 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Taylor GauthierG232001-02-15No195 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tim SchallerC/LW331990-11-16No204 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Travis BarronLW251998-11-17No205 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ty EmbersonD232000-05-24No195 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Viktor LodinC/LW241999-06-02No185 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vincent SevignyD232001-04-14No175 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
William TrudeauD212002-10-11No197 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Zack KassianRW331991-01-24No211 Lbs6 ft3NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4124.95198 Lbs6 ft22.20395,122$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Linus Karlsson40122
2Roby Jarventie30122
3Oskar BackTim SchallerLauri Pajuniemi20122
4Oskar Back10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Cam York30122
3Dillon HeatheringtonArber Xhekaj20122
4Keaton Middleton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Linus Karlsson60122
2Roby Jarventie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Cam York40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Roby JarventieLinus Karlsson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Cam York40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Cam York40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Roby JarventieLinus Karlsson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Cam York40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Linus Karlsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Linus Karlsson
Extra Forwards
Normal PowerPlayPenalty Kill
Cal O'Reilly, Lauri Pajuniemi, Tim SchallerCal O'Reilly, Lauri PajuniemiTim Schaller
Extra Defensemen
Normal PowerPlayPenalty Kill
Frederic Allard, Drew Helleson, Mason GeertsenFrederic AllardDrew Helleson, Mason Geertsen
Penalty Shots
, , Roby Jarventie, Linus Karlsson,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , Roby Jarventie, Linus Karlsson, , , , Lauri Pajuniemi, Tim Schaller, Oskar Back, Cal O'Reilly
Custom OT Lines Defensemen
, , Cam York, , Dillon Heatherington


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
7299W134962497326542052595964158805
All Games
GPWLOTWOTL SOWSOLGFGA
7243202520349240
Home Games
GPWLOTWOTL SOWSOLGFGA
362291220172110
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3621111300177130
Last 10 Games
WLOTWOTL SOWSOL
451000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3138527.16%3788078.84%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
87893682422142116874
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1370223861.22%1049194154.04%737117962.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
213316511450404760414


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
4 - 2023-08-1310Gulls1Reign2LBoxScore
6 - 2023-08-1530Gulls3Reign6LBoxScore
11 - 2023-08-2041Reign0Gulls4WBoxScore
15 - 2023-08-2463Gulls5Roadrunners4WBoxScore
18 - 2023-08-2783Canucks6Gulls1LBoxScore
20 - 2023-08-29102Gulls1Silver Knights7LBoxScore
25 - 2023-09-03113Gulls8Checkers0WBoxScore
26 - 2023-09-04124Gulls8Checkers0WBoxScore
30 - 2023-09-08149Gulls5Firebirds3WBoxScore
32 - 2023-09-10160Wranglers2Gulls5WBoxScore
33 - 2023-09-11170Eagles1Gulls2WXXBoxScore
37 - 2023-09-15189Checkers2Gulls6WBoxScore
39 - 2023-09-17202Checkers0Gulls3WBoxScore
43 - 2023-09-21227Gulls3Barracuda4LXBoxScore
46 - 2023-09-24247Wolves3Gulls5WBoxScore
47 - 2023-09-25261Wolves3Gulls4WBoxScore
51 - 2023-09-29273Stars4Gulls6WBoxScore
54 - 2023-10-02298Gulls8Wolves4WBoxScore
55 - 2023-10-03307Gulls6Wolves4WBoxScore
58 - 2023-10-06313Gulls7Admirals4WBoxScore
60 - 2023-10-08322Gulls7IceHogs2WBoxScore
61 - 2023-10-09338Gulls7IceHogs2WBoxScore
68 - 2023-10-16377Silver Knights3Gulls2LBoxScore
72 - 2023-10-20395IceHogs2Gulls9WBoxScore
74 - 2023-10-22413IceHogs2Gulls5WBoxScore
75 - 2023-10-23422Roadrunners2Gulls6WBoxScore
79 - 2023-10-27435Gulls8Firebirds3WBoxScore
80 - 2023-10-28439Reign6Gulls2LBoxScore
82 - 2023-10-30461Gulls8Roadrunners1WBoxScore
86 - 2023-11-03475Gulls1Silver Knights2LBoxScore
88 - 2023-11-05486Condors1Gulls6WBoxScore
89 - 2023-11-06499Condors0Gulls5WBoxScore
93 - 2023-11-10515Firebirds2Gulls7WBoxScore
95 - 2023-11-12527Wild1Gulls10WBoxScore
96 - 2023-11-13541Wild2Gulls4WBoxScore
103 - 2023-11-20588Gulls1Canucks2LXBoxScore
104 - 2023-11-21594Gulls2Canucks3LBoxScore
106 - 2023-11-23597Canucks3Gulls4WXXBoxScore
109 - 2023-11-26617Gulls2Wild3LBoxScore
110 - 2023-11-27628Gulls4Wild6LBoxScore
113 - 2023-11-30641Gulls6Admirals4WBoxScore
116 - 2023-12-03664Roadrunners3Gulls8WBoxScore
117 - 2023-12-04679Eagles6Gulls1LBoxScore
123 - 2023-12-10683Gulls7Wranglers3WBoxScore
124 - 2023-12-11708Gulls6Wranglers4WBoxScore
128 - 2023-12-15723Barracuda2Gulls1LBoxScore
131 - 2023-12-18743Silver Knights4Gulls5WBoxScore
134 - 2023-12-21760Gulls5Condors2WBoxScore
138 - 2023-12-25792Reign3Gulls6WBoxScore
141 - 2023-12-28803Gulls5Stars6LXBoxScore
142 - 2023-12-29812Gulls7Stars5WBoxScore
144 - 2023-12-31827Gulls7Reign5WBoxScore
149 - 2024-01-05855Firebirds4Gulls8WBoxScore
151 - 2024-01-07867Firebirds5Gulls6WXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12903Reign5Gulls4LXBoxScore
158 - 2024-01-14914Admirals6Gulls2LBoxScore
159 - 2024-01-15924Admirals4Gulls3LBoxScore
163 - 2024-01-19941Gulls2Barracuda4LBoxScore
165 - 2024-01-21959Stars6Gulls5LXBoxScore
167 - 2024-01-23982Wranglers1Gulls5WBoxScore
172 - 2024-01-281005Gulls5Roadrunners4WBoxScore
173 - 2024-01-291019Gulls6Roadrunners4WBoxScore
177 - 2024-02-021033Barracuda3Gulls1LBoxScore
180 - 2024-02-051057Roadrunners4Gulls10WBoxScore
181 - 2024-02-061068Roadrunners4Gulls7WBoxScore
184 - 2024-02-091071Gulls5Condors4WXBoxScore
186 - 2024-02-111085Gulls6Reign4WBoxScore
188 - 2024-02-131108Gulls4Firebirds5LBoxScore
190 - 2024-02-151109Gulls0Eagles5LBoxScore
191 - 2024-02-161115Gulls2Eagles6LBoxScore
194 - 2024-02-191140Firebirds5Gulls4LBoxScore
195 - 2024-02-201152Gulls9Firebirds3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance68,39634,192
Attendance PCT94.99%94.98%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2850 - 94.99% 71,054$2,557,933$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,668,834$ 154,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 168,750$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 13,610$ 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
1282195602221209364-15541102801011101173-724192801210108191-834920938459302075715921610722702730313086386716994084210.29%3626881.22%3835221737.66%954271235.18%474127337.23%151310332514606912394
1282195602221209364-15541102801011101173-724192801210108191-834920938459302075715921610722702730313086386716994084210.29%3626881.22%3835221737.66%954271235.18%474127337.23%151310332514606912394
136844160412123312111234216040211285870342310001001056342102233421654090997454172806055635431408440112015043746717.91%4575787.53%61178203457.92%1008191452.66%54994558.10%194214091360448803436
136844160412123312111234216040211285870342310001001056342102233421654090997454172806055635431408440112015043746717.91%4575787.53%61178203457.92%1008191452.66%54994558.10%194214091360448803436
146836200453025318667341911012101491034634179033201048321912534557080100105825924260789818796194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
146836200453025318667341911012101491034634179033201048321912534557080100105825924260789818796194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
1582284900311216280-6441162200210114144-3041122700101102136-3462216371587030876761239008077688042018564115315574335512.70%47910578.08%41524267856.91%1191215955.16%731126457.83%216615571792567977504
1582284900311216280-6441162200210114144-3041122700101102136-3462216371587030876761239008077688042018564115315574335512.70%47910578.08%41524267856.91%1191215955.16%731126457.83%216615571792567977504
16824822023432581817741261100130131864541221102213127953211425846672411101078263237308047847652089597103315374176615.83%4335387.76%31375250354.93%1275246351.77%650116155.99%215415691878552936480
16824822023432581817741261100130131864541221102213127953211425846672411101078263237308047847652089597103315374176615.83%4335387.76%31375250354.93%1275246351.77%650116155.99%215415691878552936480
177295304501180369-189366270120093187-94363260330187182-953218032250200078584019530685643607275178771814733034615.18%32811166.16%0644187734.31%678220730.72%383114133.57%152310912020494798367
177295304501180369-189366270120093187-94363260330187182-953218032250200078584019530685643607275178771814733034615.18%32811166.16%0644187734.31%678220730.72%383114133.57%152310912020494798367
187243200252034924010936229012201721106236211101300177130479934962497305142116874265487893682422205259596415883138527.16%3788078.84%21370223861.22%1049194154.04%737117962.51%213316511450404760414
Total Regular Season98041145203443261430473242-1954902182190151618416041612-84901932330192781014431630-1879993047546285092751421218955676287168789760938085122874081831234820044468772315.43%516496681.29%48150502928451.39%133632873346.51%74671476150.59%2440417695236186618111455578
Playoff
13624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737
13624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737
Total Playoff1248000003238-66240000016160624000001622-6832629400012612268074729630870168260882225.00%802075.00%015037839.68%17242440.57%6217435.63%2962063199715475