Please rotate your device to landscape mode for a better experience.
Login

Gulls
GP: 34 | W: 18 | L: 12 | OTL: 4 | P: 40
GF: 74 | GA: 82 | PP%: 20.25% | PK%: 78.02%
GM : Roger Storoschuk | Morale : 52 | Team Overall : 60
Next Games #527 vs Phantoms

Game Center
Gulls
18-12-4, 40pts
3
4 Griffins
17-10-6, 40pts
Team Stats
W1StreakW2
9-6-1Home Record10-5-2
9-6-3Home Record7-5-4
4-2-4Last 10 Games8-1-1
2.18Goals Per Game2.94
2.41Goals Against Per Game2.79
20.25%Power Play Percentage34.18%
78.02%Penalty Kill Percentage78.72%
Gulls
18-12-4, 40pts
2
1 Wolves
18-13-2, 38pts
Team Stats
W1StreakL2
9-6-1Home Record9-6-2
9-6-3Home Record9-7-0
4-2-4Last 10 Games6-4-0
2.18Goals Per Game1.97
2.41Goals Against Per Game2.33
20.25%Power Play Percentage22.97%
78.02%Penalty Kill Percentage77.05%
Phantoms
15-16-2, 32pts
Day 43
Gulls
18-12-4, 40pts
Team Stats
OTL1StreakW1
6-10-1Home Record9-6-1
9-6-1Away Record9-6-3
5-3-2Last 10 Games4-2-4
2.85Goals Per Game2.18
3.24Goals Against Per Game2.18
23.08%Power Play Percentage20.25%
65.96%Penalty Kill Percentage78.02%
Barracuda
22-8-4, 48pts
Day 44
Gulls
18-12-4, 40pts
Team Stats
W4StreakW1
12-4-1Home Record9-6-1
10-4-3Away Record9-6-3
6-3-1Last 10 Games4-2-4
1.85Goals Per Game2.18
1.50Goals Against Per Game2.18
21.43%Power Play Percentage20.25%
87.32%Penalty Kill Percentage78.02%
Condors
19-13-3, 41pts
Day 45
Gulls
18-12-4, 40pts
Team Stats
W1StreakW1
8-9-0Home Record9-6-1
11-4-3Away Record9-6-3
4-5-1Last 10 Games4-2-4
3.00Goals Per Game2.18
2.49Goals Against Per Game2.18
28.40%Power Play Percentage20.25%
70.21%Penalty Kill Percentage78.02%
Team Leaders
Ryan LombergGoals
Ryan Lomberg
13
Assists
Cole Smith
16
Points
Cole Smith
25
Ryan LombergPlus/Minus
Ryan Lomberg
5
Jake AllenWins
Jake Allen
18
Jake AllenSave Percentage
Jake Allen
0.887

Team Stats
Goals For
74
2.18 GFG
Shots For
581
17.09 Avg
Power Play Percentage
20.3%
16 GF
Offensive Zone Start
32.8%
Goals Against
82
2.41 GAA
Shots Against
712
20.94 Avg
Penalty Kill Percentage
78.0%%
20 GA
Defensive Zone Start
41.0%
Team Info

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


Arena Info

Capacity3,000
Attendance1,816
Season Tickets1,500


Roster Info

Pro Team25
Farm Team18
Contract Limit43 / 100
Prospects70


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
1Anthony BeauvillierX95.0082449582666398614061716375777969556702811,430,000$
2Cole SmithXX99.0088957379776588634961588225666665726703032,500,000$
3Mikael Pyyhtia (R)X100.006541968566629062555761752554536366640241897,500$
4Sam LaffertyXXX100.0080458783765577625756596725687062586403022,200,000$
5Ryan LombergXX99.0080948182665297623462576725697063716403131,500,000$
6Bradly Nadeau (R)X100.0069638372647982665061686266464566696302031,422,000$
7Jared DavidsonX100.007167796968798461785364606246456260610233842,000$
8Cole Schwindt (R)X100.007544997976546160686456642549496161610241934,000$
9Ryder RolstonX100.008075946776555459505559655646456065590241825,000$
10Rhett Pitlick (R)XXX100.0073629981633732577368446142464555635702531,352,000$
11Brandon CoeX100.007674856475525348504846604545455261540241925,000$
12Julian Lutz (R)X100.0077729364734848495048446143454553605302131,258,000$
13Francesco Arcuri (R)X100.0076748681754546435537436042454550555302231,268,000$
14Jan RuttaX100.0069438485767271632551518425717361697003522,900,000$
15Matt GrzelcykX100.0064419472658199742569477225747763546903221,800,000$
16Connor MackeyX100.0074815867817784512545426140494852536102911,319,000$
17Elias Salomonsson (R)X100.0075708767716568532550426140464553645902131,284,000$
18Dysin MayoX97.0069706265706873522540495846464552605702921,934,000$
19Marek Alscher (R)X100.0076748064756469452536396038464549645702131,286,000$
Scratches
1Riley Hughes (R)XXX100.0077728762724342496147466244444453205202531,319,000$
2Kyle Masters (R)X100.0075669561663837462536416039444450215202231,037,000$
TEAM AVERAGE99.52756586737160695645535265415353585860
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
1Jake Allen100.007361627778697476817375717371817203521,650,000$
2Spencer Knight100.006868667872637167696761565768666702422,472,000$
Scratches
1Devin Cooley100.005240508257565157585730444454335502821,750,000$
2Vadim Zherenko100.00495063844950505550503044445133530241846,667$
TEAM AVERAGE100.0061556080646062646562495455615362
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet83788383848476CAN5445,000,000$


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
1Cole SmithGulls (ANA)LW/RW3291625-77040664365253913.85%964420.134591062000001153.76%93127010.7802512402
2Ryan LombergGulls (ANA)LW/RW3413102351610475573214017.81%1470820.831127530000672138.98%1181917000.6522101311
3Anthony BeauvillierGulls (ANA)LW3211920-1420344988214012.50%1070221.9534716640000522143.44%122286010.5701000112
4Mikael PyyhtiaGulls (ANA)LW3471320440344644163515.91%962018.252139530001111042.91%26179000.6400000211
5Jan RuttaGulls (ANA)D3451318-114034555419229.26%3184724.913361072000267300%02424000.4200000133
6Ryder RolstonGulls (ANA)RW3441115-17545333161612.90%957416.891786671013261039.26%13557000.5212001011
7Cole SchwindtGulls (ANA)RW3341115100182926112015.38%63119.420110241011252052.48%28278000.9600000311
8Bradly NadeauGulls (ANA)LW3458135175483842182911.90%1465919.39000070114542075.00%201012000.3911100031
9Dysin MayoGulls (ANA)D34210121592560513514145.71%4189626.37022168000164000%0227000.2700023111
10Sam LaffertyGulls (ANA)C/LW/RW343710-91153944369258.33%454115.930000110001361050.48%313119000.3700010100
11Rhett PitlickGulls (ANA)C/LW/RW34358-355413430122910.00%849414.54022329000001042.31%26175000.3202001130
12Dakota JoshuaDucksC/LW/RW2303222103062850.00%03115.981011100000000%112001.8800020001
13Jordan GreenwayDucksLW/RW2022255159040%04321.8301121011240066.67%600000.9200010000
14Matt GrzelcykGulls (ANA)D33112-22092314587.14%1247214.32101128000120000%026000.0800000000
15Elias SalomonssonGulls (ANA)D34112195333915936.67%2073421.60000250000149000%0512000.0500100000
16Connor MackeyGulls (ANA)D32011-247535196230%847014.720000300007000%029000.0400010000
17Jared DavidsonGulls (ANA)C34101-4200402452520.00%340912.0300000000060057.14%2825000.0500000001
18Kyle MastersGulls (ANA)D2000000000000%0136.850000000000000%00000000000000
19Josh MansonDucksD2000040231000%24422.340000000002000%01300000000000
20Brandon CoeGulls (ANA)RW340002201050000%01424.180000300000000%01200000000000
21Julian LutzGulls (ANA)LW34000000850000%0672.000000000000000%00000000000000
22Marek AlscherGulls (ANA)D34000-6211530361210%2460817.89000027000076000%021700000102000
23Francesco ArcuriGulls (ANA)C30000100300000%0491.6400000000000085.71%71000000000000
Team Total or Average64272118190-2533713564063658119434112.39%2241008715.71162743686322241757716347.59%1412159187020.384109810171515
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
1Jake AllenGulls (ANA)34181240.8872.3219960577682340110.80010340132
2Spencer KnightGulls (ANA)20000.8624.535300429160000034000
Team Total or Average36181240.8862.372049058171135611103434132


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)LW281997-06-08CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,430,000$893,750$0$0$No---------------------------Link / NHL Link
Bradly NadeauGulls (ANA)LW202005-05-05CANYes172 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,422,000$888,750$0$0$No1,422,000$1,422,000$-------1,422,000$1,422,000$-------NoNo-------Link
Brandon CoeGulls (ANA)RW242001-12-01CANNo190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Link
Cole SchwindtGulls (ANA)RW242001-04-25CANYes203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm934,000$583,750$0$0$No---------------------------Link
Cole SmithGulls (ANA)LW/RW301995-10-28USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,500,000$1,562,500$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link
Connor MackeyGulls (ANA)D291996-09-12USANo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,319,000$824,375$0$0$No---------------------------Link
Devin CooleyGulls (ANA)G281997-05-25USANo188 Lbs6 ft5NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,750,000$1,093,750$0$0$No1,750,000$--------1,750,000$--------No--------Link
Dysin MayoGulls (ANA)D291996-08-17CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,934,000$1,208,750$0$0$No1,934,000$--------1,934,000$--------No--------Link / NHL Link
Elias SalomonssonGulls (ANA)D212004-08-31SWEYes189 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,284,000$802,500$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Link
Francesco ArcuriGulls (ANA)C222003-06-13CANYes200 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,268,000$792,500$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Link
Jake AllenGulls (ANA)G351990-08-07CANNo197 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,650,000$1,031,250$0$0$No1,650,000$--------1,650,000$--------No--------Link / NHL Link
Jan RuttaGulls (ANA)D351990-07-29CZENo204 Lbs6 ft3NoNoAssign ManuallyNoNo22024-09-16FalseFalsePro & Farm2,900,000$1,812,500$0$0$No2,900,000$--------2,900,000$--------No--------Link / NHL Link
Jared DavidsonGulls (ANA)C232002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm842,000$526,250$0$0$No842,000$842,000$-------842,000$842,000$-------NoNo-------Link
Julian LutzGulls (ANA)LW212004-02-29GERYes192 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,258,000$786,250$0$0$No1,258,000$1,258,000$-------1,258,000$1,258,000$-------NoNo-------Link
Kyle MastersGulls (ANA)D222003-04-09ABYes175 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,037,000$648,125$0$0$No1,037,000$1,037,000$-------1,037,000$1,037,000$-------NoNo-------Link
Marek AlscherGulls (ANA)D212004-04-07CZEYes196 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$803,750$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Link
Matt GrzelcykGulls (ANA)D321994-01-05USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,800,000$1,125,000$0$0$No1,800,000$--------1,800,000$--------No--------Link / NHL Link
Mikael PyyhtiaGulls (ANA)LW242001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm897,500$560,938$0$0$No---------------------------Link
Rhett PitlickGulls (ANA)C/LW/RW252001-02-07USAYes170 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$845,000$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Link
Riley HughesGulls (ANA)C/LW/RW252000-06-27USAYes194 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,319,000$824,375$0$0$No1,319,000$1,319,000$-------1,319,000$1,319,000$-------NoNo-------Link
Ryan LombergGulls (ANA)LW/RW311994-12-09CANNo184 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,500,000$937,500$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link / NHL Link
Ryder RolstonGulls (ANA)RW242001-10-31USANo200 Lbs6 ft2NoNoN/ANoNo12025-05-01FalseFalsePro & Farm825,000$515,625$0$0$No---------------------------Link
Sam LaffertyGulls (ANA)C/LW/RW301995-03-06USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm2,200,000$1,375,000$0$0$No2,200,000$--------2,200,000$--------No--------Link / NHL Link
Spencer KnightGulls (ANA)G242001-04-19USANo191 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,472,000$1,545,000$0$0$No2,472,000$--------925,000$--------No--------Link
Vadim ZherenkoGulls (ANA)G242001-03-15RUSNo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm846,667$529,167$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.04191 Lbs6 ft12.161,478,047$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony BeauvillierSam LaffertyCole Smith40122
2Ryan LombergMikael PyyhtiaBradly Nadeau30122
3Anthony BeauvillierRyan LombergJared Davidson20122
4Ryder RolstonCole SmithRhett Pitlick10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jan RuttaDysin Mayo35122
2Connor MackeyElias Salomonsson30122
3Marek AlscherDysin Mayo25122
4Dysin MayoJan Rutta10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony BeauvillierRyder RolstonCole Smith60122
2Mikael PyyhtiaRhett PitlickRyan Lomberg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jan RuttaDysin Mayo60122
2Marek AlscherElias Salomonsson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Anthony BeauvillierRyan Lomberg60122
2Ryder RolstonBradly Nadeau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marek AlscherDysin Mayo60122
2Jan RuttaElias Salomonsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Lomberg60122Jan RuttaDysin Mayo60122
2Ryder Rolston40122Marek AlscherElias Salomonsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan LombergAnthony Beauvillier60122
2Ryder RolstonJared Davidson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dysin MayoMarek Alscher60122
2Elias SalomonssonJan Rutta40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony BeauvillierRyan LombergCole SmithJan RuttaConnor Mackey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony BeauvillierRyan LombergCole SmithJan RuttaConnor Mackey
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Lomberg, Ryder Rolston, Rhett PitlickRyan Lomberg, Cole SmithRyan Lomberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Marek Alscher, Jan Rutta, Dysin MayoDysin MayoJan Rutta, Dysin Mayo
Penalty Shots
Ryder Rolston, Cole Smith, Rhett Pitlick, Ryan Lomberg, Anthony Beauvillier
Goalie
#1 : Jake Allen, #2 : Spencer Knight


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
1Admirals11000000312000000000001100000031221.000369001120405151351572861361215100.00%10100.00%022545949.02%25457544.17%19336752.59%590222631369829415
2Americans2010010025-31010000002-21000010023-110.250246001120405311351572861348132440300.00%7271.43%022545949.02%25457544.17%19336752.59%590222631369829415
3Barracuda2110000015-4000000000002110000015-420.50012301112040518135157286133062129100.00%8275.00%022545949.02%25457544.17%19336752.59%590222631369829415
4Bruins2010001045-12010001045-10000000000020.5004591011204052913515728613217104011100.00%5180.00%022545949.02%25457544.17%19336752.59%590222631369829415
5Canucks11000000312000000000001100000031221.00033600112040521135157286131481115000%3166.67%122545949.02%25457544.17%19336752.59%590222631369829415
6Comets1010000002-21010000002-20000000000000.0000000011204058135157286131451012300.00%5180.00%022545949.02%25457544.17%19336752.59%590222631369829415
7Condors3210000058-3110000001012110000048-440.667581301112040562135157286137528545210330.00%7185.71%022545949.02%25457544.17%19336752.59%590222631369829415
8Crunch22000000725220000007250000000000041.00071219001120405381351572861321933395360.00%4175.00%022545949.02%25457544.17%19336752.59%590222631369829415
9Griffins1000010034-1000000000001000010034-110.50035800112040515135157286133042622400.00%30100.00%022545949.02%25457544.17%19336752.59%590222631369829415
10Islanders11000000541110000005410000000000021.000591400112040521135157286134776244125.00%30100.00%022545949.02%25457544.17%19336752.59%590222631369829415
11Moose2010100057-21010000014-31000100043120.5005914001120405231351572861332811504250.00%3166.67%022545949.02%25457544.17%19336752.59%590222631369829415
12Penguins1000010012-11000010012-10000000000010.500123001120405913515728613662192150.00%10100.00%022545949.02%25457544.17%19336752.59%590222631369829415
13Reign2020000037-41010000035-21010000002-200.0003470011204053413515728613722220338112.50%10460.00%022545949.02%25457544.17%19336752.59%590222631369829415
14Roadrunners11000000312110000003120000000000021.00034700112040521135157286132667153133.33%10100.00%022545949.02%25457544.17%19336752.59%590222631369829415
15Silver Knights32100000660110000004132110000025-340.667611170111204056913515728613612332548112.50%6266.67%022545949.02%25457544.17%19336752.59%590222631369829415
16Stars2010001078-1100000105411010000024-220.5007815001120405451351572861349131342400.00%4175.00%122545949.02%25457544.17%19336752.59%590222631369829415
17Wild20200000310-71010000023-11010000017-600.000358001120405391351572861383233030200.00%10190.00%022545949.02%25457544.17%19336752.59%590222631369829415
18Wolf Pack32000100826110000005052100010032150.8338132102112040538135157286133823966800.00%20100.00%022545949.02%25457544.17%19336752.59%590222631369829415
19Wolves22000000523000000000002200000052341.00058130011204054513515728613391216438225.00%8275.00%022545949.02%25457544.17%19336752.59%590222631369829415
Total341512014207482-8167600120413561886013003347-14400.5887411819215112040558113515728613712224337640791620.25%912078.02%222545949.02%25457544.17%19336752.59%590222631369829415
_Since Last GM Reset341512014207482-8167600120413561886013003347-14400.5887411819215112040558113515728613712224337640791620.25%912078.02%222545949.02%25457544.17%19336752.59%590222631369829415
_Vs Conference21127001104243-1953000102313101274001001930-11270.643426710915112040536713515728613396144226380461021.74%581279.31%122545949.02%25457544.17%19336752.59%590222631369829415
_Vs Division1195001101827-935200010862843001001021-11210.955182846031120405204135157286132528713818327518.52%341070.59%122545949.02%25457544.17%19336752.59%590222631369829415

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3440W17411819258171222433764015
All Games
GPWLOTWOTL SOWSOLGFGA
34151214207482
Home Games
GPWLOTWOTL SOWSOLGFGA
167601204135
Visitor Games
GPWLOTWOTL SOWSOLGFGA
188613003347
Last 10 Games
WLOTWOTL SOWSOL
420400
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
791620.25%912078.02%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
135157286131120405
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
22545949.02%25457544.17%19336752.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
590222631369829415


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
212Crunch1Gulls4WBox score
332Gulls3Canucks1WBox score
440Gulls0Condors6LBox score
558Bruins4Gulls2LBox score
780Islanders4Gulls5WBox score
888Gulls1Silver Knights5LBox score
10105Gulls3Wolves1WBox score
11116Wolf Pack0Gulls5WBox score
12132Silver Knights1Gulls4WBox score
13153Gulls2Wolf Pack0WBox score
15169Wild3Gulls2LBox score
16190Condors0Gulls1WBox score
17200Gulls1Wild7LBox score
18211Gulls1Silver Knights0WBox score
19230Bruins1Gulls2WXXBox score
20250Moose4Gulls1LBox score
21252Gulls0Barracuda5LBox score
22266Gulls4Condors2WBox score
24286Gulls1Barracuda0WBox score
26300Crunch1Gulls3WBox score
27319Reign5Gulls3LBox score
28331Gulls0Reign2LBox score
29348Comets2Gulls0LBox score
30362Gulls4Moose3WXBox score
31376Gulls2Americans3LXBox score
32394Penguins2Gulls1LXBox score
34406Gulls1Wolf Pack2LXBox score
35420Gulls3Admirals1WBox score
36435Stars4Gulls5WXXBox score
37456Americans2Gulls0LBox score
39474Roadrunners1Gulls3WBox score
40487Gulls2Stars4LBox score
41501Gulls3Griffins4LXBox score
42512Gulls2Wolves1WBox score
43527Phantoms-Gulls-
44545Barracuda-Gulls-
45565Condors-Gulls-
46579Gulls-Penguins-
47590Gulls-Comets-
48604Gulls-Thunderbirds-
49620Silver Knights-Gulls-
50641Wolves-Gulls-
51649Gulls-Roadrunners-
52661Gulls-IceHogs-
53681Crunch-Gulls-
54701Senators-Gulls-
56716Gulls-Senators-
57729Wolf Pack-Gulls-
58747Gulls-Wild-
59760Wolf Pack-Gulls-
61780Gulls-Monsters-
62785Gulls-Marlies-
63799Gulls-Bruins-
64806Marlies-Gulls-
66833Griffins-Gulls-
68859Gulls-Bears-
69866Gulls-Rocket-
70878Thunderbirds-Gulls-
71895Islanders-Gulls-
73919Eagles-Gulls-
74931Gulls-Silver Knights-
76948Bruins-Gulls-
77965Gulls-Checkers-
78972Gulls-Phantoms-
80986Admirals-Gulls-
821015Heat-Gulls-
831033Gulls-Islanders-
841043IceHogs-Gulls-
861065Monsters-Gulls-
871080Gulls-Canucks-
881086Gulls-Crunch-
891102Marlies-Gulls-
901115Gulls-Eagles-
911129Gulls-Wild-
921144Wild-Gulls-
941165Gulls-Heat-
951172Wolves-Gulls-
Trade Deadline --- Trades can’t be done after this day is simulated!
971198Canucks-Gulls-
981207Gulls-Canucks-
1001228Canucks-Gulls-
1011240Gulls-Bruins-
1031262Bears-Gulls-
1051279Checkers-Gulls-
1061286Gulls-Crunch-
1071296Gulls-Condors-
1101322Rocket-Gulls-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance19,9759,075
Attendance PCT62.42%56.72%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 1816 - 60.52% 91,309$1,460,943$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,293,738$ 3,695,117$ 3,695,117$ 5,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
32,992$ 1,418,732$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,465,341$ 70 77,635$ 5,434,450$




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