Gulls

GP: 82 | W: 54 | L: 22 | OTL: 6 | P: 114
GF: 258 | GA: 181 | PP%: 15.83% | PK%: 87.76%
GM : Loic Roberge | Morale : 50 | Team Overall : 63

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
1Michael SgarbossaX100.006135946871787967756663646577733650650
2Lias AnderssonXXX100.006239876675778167726564636865648650640
3Michael Dal ColleXX100.008035946583748168596562566769658550640
4Tyson Foerster (R)X100.006238786979778066726367626859648350640
5Tim SchallerXXX100.006935926180727662666163746278733450640
6Cal O'ReillyX100.006336906273818662756756586185812850630
7Laurent DauphinXX100.006743826275788361766360656271697250630
8Paul CareyXXX100.005035956477827861636062616382793450630
9J.C. BeaudinXXX100.008636906277697363686160626367646450620
10Dante FabbroX100.006746817374888670307162695465648250680
11Dillon HeatheringtonX100.008165715990889357305652644571666850660
12Logan StanleyX100.007986715999878558306156634865638250660
13Simon BenoitX100.008537906182877959306056654865634450650
14Mason GeertsenX100.008079525689778258305754634671665950640
15Jamie Drysdale (R)X100.005435927069748369306865595261659050640
16Paul LaDueX100.005835926180757260307355644977724050640
17Cam York (R)X100.005235926967738166306358645561638650630
18Mark AltX100.005837715687807658305956624878735650630
19Gabriel CarlssonX100.006037916190767460306459615067647750630
20Keaton MiddletonX100.006160665999707159305956624865636150620
21Frederic AllardX100.005335916673837664306356585067646350620
Scratches
1Joseph LaBateX100.008271575891798458615858635875685150620
2Andreas MartinsenXX100.007643836285717457525655635879693450610
3Calvin ThurkaufXX100.006735936281777859666158565967635150610
4J.T. BrownX100.006346856267757761566060586278705650610
5Jacob Perreault (R)X100.006237786471737863576558566159628250610
6Jesse Ylonen (R)X100.005035956568747363586162636463657650610
7JC LiponX100.006262605871889358615958606275685350610
8Brendan WarrenX100.006435925973687162545963586267646150600
9Simon HolmstromXX100.006535936074807959565761545861638450600
10Jonathan Gruden (R)X100.005939866069788357605958565961636550590
11JT BrownX100.005853715567889355585656545679713450590
12Mason PrimeauX100.008139865690737854615950615362645750590
13Aidan Dudas (R)X100.006335916162838658635457535861636650580
14Blade Jenkins (R)XX100.006735935976717257665456585961635750580
15Arsen Khisamutdinov (R)XX100.007539875484716953555250595665636150570
16Maxim GolodX100.005739835966727757605853555461635650570
17Alex DostieXX100.005835935667697353625556545567645850560
18Jack Badini (R)XX100.006635935375697452545150535265636350550
19Luke Evangelista (R)X100.005736895566606555615950535759597650550
20Michael Vukojevic (R)X100.007559665985827761306253594760606650620
21Guillaume BriseboisX100.005035956075727059305956644867646550610
22Miles GendronX100.006839745577717654305256534669656450580
23Hunter Skinner (R)X100.006839865377606553305355564660606250570
24Layton Ahac (R)X100.006938885278606552305450554560606550560
TEAM AVERAGE100.00664384617776786050605760566866625061
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
1Curtis McElhinney100.00817875798079818079818088924750780
2Maxime Lagace100.00778281787675777675777675814750750
Scratches
1Jacob Ingham100.00787385847776787776787761654950740
2Dereck Baribeau100.00728482967170727170727163674450720
3Landon Bow100.00709492936968706968706971754250720
4Kevin Boyle100.00708078756968706968706977833650700
5Joel Hofer (R)100.00738482757271737271737261656350700
TEAM AVERAGE100.0074828283737274737274737175475073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan67737268746976CAN5032,500,000$


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
1Tim SchallerGulls (Ana)C/LW/RW8235357024540142993009619411.67%16133316.27111223772900003724151.59%12600021.0500000637
2Michael SgarbossaGulls (Ana)C6424426637320671542186916311.01%15142822.31411154224111283315162.90%116700000.9217000566
3Logan StanleyGulls (Ana)D82224062191762023773137449816.06%127181622.15151429923550111301420.00%000000.6800211443
4Rasmus AsplundAnaheim DucksC/LW/RW592140611916047191250781798.40%34139423.644121647220011142833262.16%181300000.8713000462
5Lias AnderssonGulls (Ana)C/LW/RW792830582825562902376416511.81%17140517.79616225928400041765159.82%11200200.8312010733
6Michael Dal ColleGulls (Ana)LW/RW642032522910210193891845412110.87%15133420.86512175027010121396357.32%23900000.7826000346
7Laurent DauphinGulls (Ana)C/LW8223264919840100962006417211.50%21119514.581122170002444058.57%7000000.8200000184
8Tyson FoersterGulls (Ana)C6425224728320551161984516112.63%597315.211014340000134159.63%81500010.9700000923
9Paul CareyGulls (Ana)C/LW/RW6416274326601855135318911.85%497315.21571237245000014054.39%5700000.8800000246
10Dillon HeatheringtonGulls (Ana)D6452833349515125296626407.58%50121819.0431215382300002216200.00%000000.5400012020
11Simon BenoitGulls (Ana)D82518232248058426021338.33%44102912.55448401540001125000.00%000000.4500000021
12Jamie DrysdaleGulls (Ana)D64217191412011301761411.76%175057.900000000000000.00%000000.7500000010
13Dennis GilbertAnaheim DucksD3051419-1855117296124408.20%3959419.8036941109000090100.00%000000.6400010210
14Paul LaDueGulls (Ana)D64013131820011175050.00%123054.770000000000000.00%000000.8500000000
15J.C. BeaudinGulls (Ana)C/LW/RW131111292952017196115.26%417313.3500000000001062.50%800001.3800000012
16Cal O'ReillyGulls (Ana)C6438112014020314119377.32%35588.73000030004862062.25%20400000.3900000000
17Gabriel CarlssonGulls (Ana)D82279-114031171841211.11%244064.950002300001200.00%000000.4400000111
18Mason GeertsenGulls (Ana)D6405511128309015156100.00%356099.530000000000000.00%000000.1600202000
19Cam YorkGulls (Ana)D64044100424760.00%7971.53011112011043000.00%100000.8200000000
20Keaton MiddletonGulls (Ana)D22020600040050.00%13919.921012700009100.00%000001.0000000001
21Joseph LaBateGulls (Ana)LW2101-31008341325.00%03417.4210128000000050.00%200000.5700000000
22J.T. BrownGulls (Ana)RW2011-300146000.00%23417.470113800000000.00%300000.5700000000
23Jacob PerreaultGulls (Ana)RW2000040200030.00%03618.02000050000000100.00%100000.0000000000
24Mark AltGulls (Ana)D640000001045010.00%161251.9600015000295000.00%000000.0000000000
25Frederic AllardGulls (Ana)D17000000000100.00%0231.3600002000013000.00%000000.0000000000
Team Total or Average132024042066035099290142912032184666155710.99%5081764813.37641091735402512246432048481161.11%461800230.75518445444845
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
1Curtis McElhinneyGulls (Ana)6450850.9341.56385541110015200300.81822640955
2Maxime LagaceGulls (Ana)94410.8762.6048501211700000.3333917100
3Landon BowGulls (Ana)21100.9142.50120005580000.000020000
Team Total or Average75551360.9281.70446141212617480300.7602575171055


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 DudasC212000-06-15Yes162 Lbs5 ft8NoNoNo4ELCPro & Farm300,000$0$0$No
Alex DostieC/LW241997-04-13No174 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andreas MartinsenLW/RW311990-06-13No225 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Arsen KhisamutdinovC/RW241998-03-26Yes205 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$No
Blade JenkinsC/LW212000-08-11Yes195 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$No
Brendan WarrenLW241997-05-07No191 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Cal O'ReillyC351986-09-30No188 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Calvin ThurkaufC/LW241997-06-27No204 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Cam YorkD212001-01-05Yes175 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$No
Curtis McElhinneyG381983-05-23No210 Lbs6 ft1NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Dante FabbroD231998-06-20No189 Lbs6 ft0NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Dereck BaribeauG231999-01-22No218 Lbs6 ft6NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dillon HeatheringtonD261995-05-09No220 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Frederic AllardD241997-12-27No179 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gabriel CarlssonD251997-01-02No203 Lbs6 ft5NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Guillaume BriseboisD241997-07-21No175 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Hunter SkinnerD202001-04-29Yes182 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$No
J.C. BeaudinC/LW/RW251997-03-25No196 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
J.T. BrownRW311990-07-02No182 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
JC LiponRW281993-07-10No183 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
JT BrownRW311990-07-02No182 Lbs5 ft10NoNoNo2UFAPro & Farm300,000$0$0$NoLink
Jack BadiniC/LW241998-01-19Yes203 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$No
Jacob InghamG212000-06-10No186 Lbs6 ft4NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Jacob PerreaultRW192002-04-15Yes192 Lbs5 ft11NoNoNo1ELCPro & Farm0$0$No
Jamie DrysdaleD192002-04-08Yes175 Lbs5 ft11NoNoNo1ELCPro & Farm0$0$No
Jesse YlonenRW221999-10-03Yes167 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$No
Joel HoferG212000-07-30Yes160 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$No
Jonathan GrudenLW212000-05-04Yes172 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$No
Joseph LaBateLW281993-04-16No210 Lbs6 ft5NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Keaton MiddletonD241998-02-10No240 Lbs6 ft6NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Kevin BoyleG291992-05-30No201 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Landon BowG261995-08-24No220 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Laurent DauphinC/LW261995-03-27No189 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Layton AhacD212001-02-22Yes188 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$No
Lias AnderssonC/LW/RW231998-10-13No190 Lbs6 ft1NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Logan StanleyD231998-05-26No228 Lbs6 ft7NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Luke EvangelistaRW202002-02-21Yes166 Lbs5 ft11NoNoNo1ELCPro & Farm0$0$No
Mark AltD301991-10-18No201 Lbs6 ft4NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mason GeertsenD261995-04-19No212 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mason PrimeauC202001-07-28No205 Lbs6 ft5NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Maxim GolodLW212000-08-18No168 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Maxime LagaceG291993-01-12No190 Lbs6 ft2NoNoNo3UFAPro & Farm747,000$0$0$NoLink / NHL Link
Michael Dal ColleLW/RW251996-06-20No200 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael SgarbossaC291992-07-25No182 Lbs6 ft0NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Michael VukojevicD202001-06-08Yes207 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$No
Miles GendronD251996-06-28No181 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Paul CareyC/LW/RW331988-09-24No196 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Paul LaDueD291992-09-06No197 Lbs6 ft2NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Simon BenoitD231998-09-19No191 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Simon HolmstromLW/RW202001-05-24No183 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Tim SchallerC/LW/RW311990-11-16No204 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyson FoersterC202002-01-18Yes194 Lbs6 ft2NoNoNo1ELCPro & Farm0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
5224.83193 Lbs6 ft22.42426,865$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael Dal ColleLias Andersson40122
2Tim SchallerMichael SgarbossaPaul Carey30122
3Laurent DauphinTyson Foerster20122
4Cal O'ReillyMichael Sgarbossa10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan Stanley40122
2Dillon HeatheringtonSimon Benoit30122
3Mason GeertsenJamie Drysdale20122
4Paul LaDueGabriel Carlsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael Dal ColleLias Andersson60122
2Tim SchallerMichael SgarbossaPaul Carey40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan Stanley60122
2Dillon HeatheringtonSimon Benoit40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael Sgarbossa60122
2Michael Dal ColleLias Andersson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan Stanley60122
2Dillon HeatheringtonSimon Benoit40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Logan Stanley60122
2Michael Sgarbossa40122Dillon HeatheringtonSimon Benoit40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael Sgarbossa60122
2Michael Dal ColleLias Andersson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan Stanley60122
2Dillon HeatheringtonSimon Benoit40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael Dal ColleLias AnderssonLogan Stanley
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael Dal ColleLias AnderssonLogan Stanley
Extra Forwards
Normal PowerPlayPenalty Kill
Tyson Foerster, Laurent Dauphin, Cal O'ReillyTyson Foerster, Laurent DauphinCal O'Reilly
Extra Defensemen
Normal PowerPlayPenalty Kill
Cam York, Mark Alt, Cam YorkMark Alt,
Penalty Shots
, Michael Sgarbossa, Michael Dal Colle, Lias Andersson, Tyson Foerster
Goalie
#1 : Curtis McElhinney, #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
82114SOW12584667242373208959710331537111
All Games
GPWLOTWOTL SOWSOLGFGA
8248222343258181
Home Games
GPWLOTWOTL SOWSOLGFGA
412611013013186
Visitor Games
GPWLOTWOTL SOWSOLGFGA
412211221312795
Last 10 Games
WLOTWOTL SOWSOL
511021
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4176615.83%4335387.76%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8047847654210782637
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1375250354.93%1275246351.77%650116155.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
215415691878552936480


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
2 - 2021-10-0218Comets2Gulls4WBoxScore
5 - 2021-10-0536Admirals3Gulls0LBoxScore
8 - 2021-10-0865Heat5Gulls4LBoxScore
10 - 2021-10-1083Gulls0Rocket3LBoxScore
11 - 2021-10-1194Gulls4Palm Springs5LXBoxScore
13 - 2021-10-13102Stars5Gulls2LBoxScore
15 - 2021-10-15122Gulls4Eagles6LBoxScore
16 - 2021-10-16133Condors6Gulls4LBoxScore
19 - 2021-10-19161Admirals4Gulls1LBoxScore
21 - 2021-10-21170Gulls3Sound Tigers5LBoxScore
24 - 2021-10-24194Checkers4Gulls0LBoxScore
25 - 2021-10-25203Gulls2Marlies3LBoxScore
27 - 2021-10-27221Gulls1Stars6LBoxScore
28 - 2021-10-28228Gulls6Roadrunners4WBoxScore
30 - 2021-10-30240Wild8Gulls3LBoxScore
33 - 2021-11-02262Sound Tigers1Gulls3WBoxScore
35 - 2021-11-04286Palm Springs5Gulls1LBoxScore
37 - 2021-11-06303Gulls0Monsters3LBoxScore
40 - 2021-11-09318Gulls5Sound Tigers4WBoxScore
41 - 2021-11-10325Penguins0Gulls4WBoxScore
44 - 2021-11-13348Gulls2Bruins1WBoxScore
45 - 2021-11-14351Gulls2Comets1WXBoxScore
46 - 2021-11-15367Heat2Gulls3WBoxScore
48 - 2021-11-17389Gulls2Wild1WBoxScore
49 - 2021-11-18398Bruins1Gulls3WBoxScore
52 - 2021-11-21415Gulls4Palm Springs2WBoxScore
54 - 2021-11-23429Admirals1Gulls0LBoxScore
56 - 2021-11-25451Gulls2Checkers1WXXBoxScore
57 - 2021-11-26461Gulls4Heat1WBoxScore
58 - 2021-11-27472Phantoms2Gulls0LBoxScore
61 - 2021-11-30492Marlies0Gulls3WBoxScore
63 - 2021-12-02508Gulls5Condors1WBoxScore
65 - 2021-12-04527Eagles0Gulls8WBoxScore
67 - 2021-12-06546Wolf Pack2Gulls3WBoxScore
69 - 2021-12-08564Gulls5Barracuda2WBoxScore
71 - 2021-12-10579Gulls6Crunch4WBoxScore
73 - 2021-12-12591Griffins1Gulls3WBoxScore
74 - 2021-12-13606Gulls1Rampage2LXXBoxScore
75 - 2021-12-14619IceHogs0Gulls2WBoxScore
78 - 2021-12-17643Condors3Gulls4WBoxScore
79 - 2021-12-18653Gulls5Eagles0WBoxScore
82 - 2021-12-21676Sound Tigers1Gulls2WBoxScore
84 - 2021-12-23688Gulls1Wolf Pack0WBoxScore
86 - 2021-12-25704Gulls3Griffins4LXXBoxScore
87 - 2021-12-26717Comets1Gulls2WBoxScore
90 - 2021-12-29733Gulls6Griffins3WBoxScore
92 - 2021-12-31749Wild2Gulls5WBoxScore
93 - 2022-01-01760Gulls3Senators1WBoxScore
95 - 2022-01-03779IceHogs1Gulls7WBoxScore
97 - 2022-01-05791Gulls3Devils4LBoxScore
99 - 2022-01-07805Gulls3Roadrunners1WBoxScore
100 - 2022-01-08822Monsters0Gulls4WBoxScore
102 - 2022-01-10838Gulls1Wolves3LBoxScore
104 - 2022-01-12852Wolves2Gulls3WBoxScore
106 - 2022-01-14869Gulls1Stars2LXBoxScore
107 - 2022-01-15878Gulls7Moose0WBoxScore
108 - 2022-01-16889Wolves2Gulls1LXBoxScore
111 - 2022-01-19914Rampage0Gulls3WBoxScore
114 - 2022-01-22937Gulls3Thunderbirds1WBoxScore
115 - 2022-01-23949Checkers2Gulls4WBoxScore
118 - 2022-01-26964Gulls7Reign2WBoxScore
119 - 2022-01-27978Stars2Gulls3WXXBoxScore
121 - 2022-01-291003Barracuda1Gulls4WBoxScore
123 - 2022-01-311023Gulls6IceHogs1WBoxScore
125 - 2022-02-021036Rampage1Gulls3WBoxScore
127 - 2022-02-041049Gulls6Marlies1WBoxScore
128 - 2022-02-051065Moose3Gulls7WBoxScore
131 - 2022-02-081083Gulls5Moose1WBoxScore
133 - 2022-02-101097Gulls0Wolves2LBoxScore
135 - 2022-02-121108Rocket4Gulls3LBoxScore
137 - 2022-02-141120Gulls0Phantoms5LBoxScore
139 - 2022-02-161136Bears2Gulls3WBoxScore
140 - 2022-02-171142Gulls1Americans2LXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2022-02-201156Gulls1Admirals4LBoxScore
144 - 2022-02-211172Reign0Gulls9WBoxScore
148 - 2022-02-251200Americans2Gulls4WBoxScore
150 - 2022-02-271216Gulls3Rocket2WXBoxScore
153 - 2022-03-021238Roadrunners1Gulls2WXXBoxScore
155 - 2022-03-041252Gulls1Thunderbirds0WBoxScore
156 - 2022-03-051266Gulls3Americans1WBoxScore
158 - 2022-03-071277Thunderbirds1Gulls3WBoxScore
164 - 2022-03-131309Devils3Gulls4WXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance76,85538,749
Attendance PCT93.73%94.51%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2820 - 93.99% 70,210$2,878,622$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,728,697$ 221,970$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 228,696$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 16,497$ 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
136844160412123312111234216040211285870342310001001056342102233421654090997454172806055635431408440112015043746717.91%4575787.53%61178203457.92%1008191452.66%54994558.10%194214091360448803436
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
168248220234325818177412611001301318645412211022131279532114258466724111107826372373804784765422089597103315374176615.83%4335387.76%31375250354.93%1275246351.77%650116155.99%215415691878552936480
Total Regular Season38217516301214126116911323719192780658262356459191838506944546568-224181169209732661351074483572401107880437073616291510593300749747755188427314.49%206533283.92%2361961164653.20%54791118948.97%2982565052.78%961269319063261243942214
Playoff
13624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737
Total Playoff624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737