Login

Gulls
GP: 6 | W: 3 | L: 3
GF: 18 | GA: 17 | PP%: 10.53% | PK%: 84.21%
GM : Roger Storoschuk | Morale : 69 | Team Overall : 60
Next Games #51 vs Rocket
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Gulls
3-3-0, 6pts
2
FINAL
1 Rocket
3-3-0, 6pts
Team Stats
OTL1StreakW1
1-2-0Home Record1-2-0
2-1-0Home Record2-1-0
3-1-2Last 10 Games3-1-2
3.00Goals Per Game2.83
2.83Goals Against Per Game3.00
10.53%Power Play Percentage15.79%
84.21%Penalty Kill Percentage89.47%
Rocket
3-3-0, 6pts
4
FINAL
3 Gulls
3-3-0, 6pts
Team Stats
W1StreakOTL1
1-2-0Home Record1-2-0
2-1-0Home Record2-1-0
3-1-2Last 10 Games3-1-2
2.83Goals Per Game3.00
3.00Goals Against Per Game2.83
15.79%Power Play Percentage10.53%
89.47%Penalty Kill Percentage84.21%
Gulls
3-3-0, 6pts
Day 13
Rocket
3-3-0, 6pts
Team Stats
OTL1StreakW1
1-2-0Home Record1-2-0
2-1-0Away Record2-1-0
3-1-2Last 10 Games3-1-2
3.00Goals Per Game2.83
2.83Goals Against Per Game2.83
10.53%Power Play Percentage15.79%
84.21%Penalty Kill Percentage89.47%
Team Leaders
Taylor RaddyshGoals
Taylor Raddysh
3
Taylor RaddyshAssists
Taylor Raddysh
5
Taylor RaddyshPoints
Taylor Raddysh
8
Matt GrzelcykPlus/Minus
Matt Grzelcyk
3
Jonas JohanssonWins
Jonas Johansson
3
Jonas JohanssonSave Percentage
Jonas Johansson
0.899

Team Stats
Goals For
18
3.00 GFG
Shots For
145
24.17 Avg
Power Play Percentage
10.5%
2 GF
Offensive Zone Start
38.9%
Goals Against
17
2.83 GAA
Shots Against
160
26.67 Avg
Penalty Kill Percentage
84.2%%
3 GA
Defensive Zone Start
36.6%
Team Info

General ManagerRoger Storoschuk
CoachRick Tocchet
DivisionDivision 1
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,209
Season Tickets1,500


Roster Info

Pro Team31
Farm Team19
Contract Limit50 / 100
Prospects69


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Taylor RaddyshX98.0077449275747293823766647625686764816902711,845,000$
2Sam LaffertyXXX98.0090468880766192705869736425696967826903032,200,000$
3Anthony BeauvillierXX100.0072439685666588725366606639767964806802721,430,000$
4Mike HoffmanX98.0064419280686584773767706436808066826803532,400,000$
5Patrick MaroonXX97.0082996565856383713770616425839061846703712,300,000$
6Noah CatesXX98.007442997864668868636661772563626481670261857,006$
7Noah GregorX99.008955927969597766555958737568676380660261965,000$
8Tanner PearsonX100.0073558979766356723363607241767563756603212,875,000$
9Nathan ToddX100.007874966574616161806060646047476281610291799,898$
10Cole Schwindt (R)XX100.007469876472808558755658605548475882610242934,000$
11Mikael PyyhtiaX100.006341996666647460325852732548486082600232897,500$
12Rhett GardnerXX100.0077826168827581537048546053515055825902911,052,000$
13Matt GrzelcykX99.0071528483617286632553507525727558826803131,800,000$
14Mike ReillyX98.0072438681747170732562516325717160836703112,600,000$
15Zachary JonesX100.0069429276666567632556496975565557756302421,258,000$
16Keaton MiddletonX98.0079875266887887482538426040484749796102731,171,000$
17Dysin MayoX98.0068686865687278512544406039646350806002831,934,000$
18Colton PoolmanX100.007772966572738143253040593947465067580291931,000$
Scratches
1Arnaud DurandeauX100.007066826266727656505850604845455728570262966,000$
2Brandon Coe (R)X100.007572816172687253504458625544445920560242925,000$
3Ryder RolstonXXX100.007972986173646753684655645345455920560232750,000$
4Jared Davidson (R)X100.007067776367585955694660605744445920550224750,000$
5Connor MackeyX100.0070785071785658482540415939474751205602821,319,000$
6Wyatt NewpowerX100.006873556573596347253840573844445020550271969,000$
7Kyle Masters (R)X100.007366896066505246253739593744445020530221750,000$
TEAM AVERAGE99.24746283717266756044545465425858586362
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 SPAgeContractSalary
1Jonas Johansson99.006257568465647569716275545459876502911,000,000$
2Spencer Knight (R)100.005346587854586062626130454455825802431,114,000$
Scratches
1Vadim Zherenko (R)100.00524759665555505655543044445322530242846,667$
2Devin Cooley100.004850638247485054484830444449225202731,750,000$
3Oskari Salminen100.00465265834245505345463044444822510252833,000$
4Zach Sawchenko100.00465265704547455145454544444722490271757,231$
TEAM AVERAGE99.8351516177515355585453404646524355
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet80808080808080CAN5355,000,000$


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
1Taylor RaddyshGulls (ANA)RW63582006132541012.00%414123.640228171013160066.67%660001.1300000111
2Mike HoffmanGulls (ANA)LW6347020115218714.29%213322.19000314000160054.17%2451001.0500000100
3Sam LaffertyGulls (ANA)C/LW/RW62571201612233138.70%112621.03112917000000151.22%12353001.1100000100
4Noah CatesGulls (ANA)C/LW6325-100820166718.75%214023.380001140110130054.93%7123000.7100000020
5Keaton MiddletonGulls (ANA)D6145-119522741225.00%717328.86011118000011100%016000.5800010100
6Patrick MaroonGulls (ANA)LW/RW621328011161141018.18%015125.181012170000121026.67%3013000.4000000000
7Noah GregorGulls (ANA)RW612300013883412.50%211519.19000014000000150.00%202000.5200000000
8Anthony BeauvillierGulls (ANA)LW/RW611210064102310.00%18914.860000000016010%041000.4500000010
9Dysin MayoGulls (ANA)D61120181061031233.33%817228.67000018000015000%003000.2300110010
10Matt GrzelcykGulls (ANA)D6011300838410%212120.29000210000011000%034000.1600000000
11Mike ReillyGulls (ANA)D610122012872614.29%215425.73000113000015100%036000.1300000001
12Cole SchwindtGulls (ANA)C/RW6011000475430%08714.5600000000000065.63%3202000.2300000000
13Rhett GardnerGulls (ANA)C/LW6011020864110%18213.82000000000000100.00%100000.2400000000
14Zachary JonesGulls (ANA)D6000000560110%210918.190000300007000%00000000000000
15Mikael PyyhtiaGulls (ANA)C6000000130000%1437.2500000000030055.56%90000000000000
16Nathan ToddGulls (ANA)C6000000000000%061.070000000000000%00000000000000
17Arnaud DurandeauGulls (ANA)LW6000000220000%0183.030000000000000%00000000000000
18Colton PoolmanGulls (ANA)D6000000210000%0406.670000000000000%00000000000000
Team Total or Average10818284695315141131145447012.41%35190517.652462716111251213352.01%2983034000.4800120452
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
1Jonas JohanssonGulls (ANA)63120.8992.49386001615987110060000
Team Total or Average63120.8992.4938600161598711060000


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Anthony BeauvillierGulls (ANA)LW/RW271997-06-08QUENo183 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,430,000$306,429$0$0$No1,430,000$--------2,851,000$--------No--------Link / NHL Link
Arnaud DurandeauGulls (ANA)LW261999-01-14QUENo181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm966,000$207,000$0$0$No966,000$--------750,000$--------No--------Link
Brandon CoeGulls (ANA)RW242001-01-12ONTYes188 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm925,000$198,214$0$0$No925,000$--------925,000$--------No--------Link
Cole SchwindtGulls (ANA)C/RW242001-04-25ONTYes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm934,000$200,143$0$0$No934,000$--------843,037$--------No--------Link
Colton PoolmanGulls (ANA)D291995-12-18USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm931,000$199,500$0$0$No---------------------------Link
Connor MackeyGulls (ANA)D281996-09-12USANo200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,319,000$282,643$0$0$No1,319,000$--------1,319,000$--------No--------Link
Devin CooleyGulls (ANA)G271997-05-24USANo189 Lbs6 ft5NoNoAssign ManuallyNoNo32024-09-10FalseFalsePro & Farm1,750,000$375,000$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Link
Dysin MayoGulls (ANA)D281996-08-17BCNo185 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,934,000$414,429$0$0$No1,934,000$1,934,000$-------1,934,000$1,934,000$-------NoNo-------Link / NHL Link
Jared DavidsonGulls (ANA)C222002-07-07ABYes184 Lbs6 ft0NoNoN/ANoNo42025-05-01FalseFalsePro & Farm750,000$160,714$0$0$No842,000$842,000$842,000$------842,000$842,000$842,000$------NoNoNo------
Jonas JohanssonGulls (ANA)G291995-09-18SWENo205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$214,286$0$0$No---------------------------Link / NHL Link
Keaton MiddletonGulls (ANA)D271998-02-10ABNo234 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm1,171,000$250,929$0$0$No1,171,000$1,171,000$-------1,171,000$1,171,000$-------NoNo-------Link / NHL Link
Kyle MastersGulls (ANA)D222003-04-09ABYes175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$160,714$0$0$No---------------------------
Matt GrzelcykGulls (ANA)D311994-01-05USANo174 Lbs5 ft9NoNoAssign ManuallyNoNo32024-09-10FalseFalsePro & Farm1,800,000$385,714$0$0$No1,800,000$1,800,000$-------1,800,000$1,800,000$-------NoNo-------Link / NHL Link
Mikael PyyhtiaGulls (ANA)C232001-12-17FINNo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm897,500$192,321$0$0$No897,500$--------897,500$--------No--------
Mike HoffmanGulls (ANA)LW351989-11-24ONTNo189 Lbs6 ft0NoNoAssign ManuallyNoNo32024-09-10FalseFalsePro & Farm2,400,000$514,286$0$0$No2,400,000$2,400,000$-------2,400,000$2,400,000$-------NoNo-------Link / NHL Link
Mike ReillyGulls (ANA)D311993-07-13USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,600,000$557,143$0$0$No---------------------------Link / NHL Link
Nathan ToddGulls (ANA)C291995-12-02ONTNo201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm799,898$171,407$0$0$No---------------------------Link
Noah CatesGulls (ANA)C/LW261999-02-05USANo169 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm857,006$183,644$0$0$No---------------------------Link
Noah GregorGulls (ANA)RW261998-07-28ABNo189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm965,000$206,786$0$0$No---------------------------Link
Oskari SalminenGulls (ANA)G251999-09-22FINNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm833,000$178,500$0$0$No833,000$--------833,000$--------No--------Link
Patrick MaroonGulls (ANA)LW/RW371988-04-23USANo236 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,300,000$492,857$0$0$No---------------------------Link / NHL Link
Rhett GardnerGulls (ANA)C/LW291996-02-28SKWNo224 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,052,000$225,429$0$0$No---------------------------Link / NHL Link
Ryder RolstonGulls (ANA)C/LW/RW232001-10-31USANo190 Lbs6 ft2NoNoN/ANoNo22025-05-01FalseFalsePro & Farm750,000$160,714$0$0$No825,000$--------825,000$--------No--------
Sam LaffertyGulls (ANA)C/LW/RW301995-03-06USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo32024-09-10FalseFalsePro & Farm2,200,000$471,429$0$0$No2,200,000$2,200,000$-------2,200,000$2,200,000$-------NoNo-------Link / NHL Link
Spencer KnightGulls (ANA)G242001-04-18USAYes193 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,114,000$238,714$0$0$No2,472,000$2,472,000$-------925,000$925,000$-------NoNo-------Link
Tanner PearsonGulls (ANA)LW321992-08-10ONTNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,875,000$616,071$0$0$No---------------------------Link / NHL Link
Taylor RaddyshGulls (ANA)RW271998-02-18CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,845,000$395,357$0$0$No---------------------------Link / NHL Link
Vadim ZherenkoGulls (ANA)G242001-03-15RUSYes172 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm846,667$181,429$0$0$No846,667$--------846,667$--------No--------Link
Wyatt NewpowerGulls (ANA)D271997-12-09USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm969,000$207,643$0$0$No---------------------------Link
Zach SawchenkoGulls (ANA)G271997-12-30ABNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm757,231$162,264$0$0$No---------------------------Link
Zachary JonesGulls (ANA)D242000-10-18USANo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,258,000$269,571$0$0$No1,258,000$--------843,165$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3127.19193 Lbs6 ft11.871,321,913$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Patrick MaroonSam LaffertyTaylor Raddysh40122
2Mike HoffmanNoah CatesNoah Gregor30122
3Patrick MaroonMike HoffmanAnthony Beauvillier20122
4Noah CatesCole SchwindtRhett Gardner10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton MiddletonDysin Mayo35122
2Mike ReillyMatt Grzelcyk30122
3Keaton MiddletonDysin Mayo25122
4Mike ReillyZachary Jones10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Patrick MaroonSam LaffertyTaylor Raddysh60122
2Mike HoffmanNoah CatesNoah Gregor40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton MiddletonDysin Mayo60122
2Mike ReillyMatt Grzelcyk40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrick MaroonTaylor Raddysh60122
2Noah CatesMike Hoffman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton MiddletonDysin Mayo60122
2Mike ReillyMatt Grzelcyk40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mike Hoffman60122Keaton MiddletonDysin Mayo60122
2Noah Cates40122Mike ReillyZachary Jones40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Noah GregorPatrick Maroon60122
2Noah CatesMike Hoffman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dysin MayoKeaton Middleton60122
2Mike ReillyMatt Grzelcyk40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mike HoffmanSam LaffertyTaylor RaddyshMike ReillyMatt Grzelcyk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mike HoffmanSam LaffertyTaylor RaddyshMike ReillyMatt Grzelcyk
Extra Forwards
Normal PowerPlayPenalty Kill
Patrick Maroon, Noah Gregor, Noah CatesPatrick Maroon, Noah GregorPatrick Maroon
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Reilly, Keaton Middleton, Dysin MayoKeaton MiddletonMike Reilly, Keaton Middleton
Penalty Shots
Noah Cates, Sam Lafferty, Mike Hoffman, Taylor Raddysh, Patrick Maroon
Goalie
#1 : Jonas Johansson, #2 : Spencer Knight, #3 : 0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Rocket633000001817131200000101003210000087160.50018284610358214535356411160355314119210.53%19384.21%16711657.76%5610951.38%327343.84%121481156615078
Total633000001817131200000101003210000087160.50018284610358214535356411160355314119210.53%19384.21%16711657.76%5610951.38%327343.84%121481156615078
_Since Last GM Reset633000001817131200000101003210000087160.50018284610358214535356411160355314119210.53%19384.21%16711657.76%5610951.38%327343.84%121481156615078
_Vs Conference633000001817131200000101003210000087160.50018284610358214535356411160355314119210.53%19384.21%16711657.76%5610951.38%327343.84%121481156615078

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
66OTL1182846145160355314110
All Games
GPWLOTWOTL SOWSOLGFGA
63300001817
Home Games
GPWLOTWOTL SOWSOLGFGA
31200001010
Visitor Games
GPWLOTWOTL SOWSOLGFGA
321000087
Last 10 Games
WLOTWOTL SOWSOL
310200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
19210.53%19384.21%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
353564113582
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6711657.76%5610951.38%327343.84%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
121481156615078


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
13Gulls5Rocket4WXBoxScore
311Gulls1Rocket2LXBoxScore
519Rocket4Gulls2LBoxScore
727Rocket2Gulls5WBoxScore
935Gulls2Rocket1WXBoxScore
1143Rocket4Gulls3LXBoxScore
1351Gulls-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance4,5102,117
Attendance PCT75.17%70.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
43 2209 - 73.63% 110,628$331,883$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,097,931$ 4,020,642$ 5,000,000$0$
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$ 3 0$ 0$




Gulls Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Gulls Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Gulls Career Team Stats

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

Gulls Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Gulls Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA