Gulls

GP: 5 | W: 0 | L: 3 | OTL: 2 | P: 2
GF: 3 | GA: 6 | PP%: 9.52% | PK%: 86.67%
GM : Kevin Reynolds | Morale : 50 | Team Overall : 58
Next Games vs Americans
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Matthew PecaX100.007642997654669059977572792545457550660
2Lukas SedlakX96.008055877672547560805858752557576550620
3Kevin RoyX95.006341917161668365265475642546466950610
4Antoine LaganiereX96.007875856775727659745262655944446350600
5Jordin TootooXX97.007543837768467559255256602578806050590
6Matt BeleskeyX100.008899627276586763335055582569715950590
7Michael SgarbossaX100.006768646668737760755858615548486150590
8Mitch Hults (R)X100.008480946380626458735458685544446350590
9Gabriel Fontaine (R)X100.007971986871737950634650634844445750570
10Jaycob MegnaX100.006343957582687860254747802545456250640
11Ian McCoshenX100.008460817781677157254349712547476050630
12Marcus Pettersson (R)X100.007143917471637162255248712546466050620
13Matthew Spencer (R)X100.007976856776778353253853645044445950610
14Kevin Spinozzi (R)X100.007975896575646658254754655144446150600
15Jarred TinordiX100.007986636586656949254241633944445350580
16Stefan Leblanc (R)X100.007468896368738050254341613944445550580
Scratches
1Chris WagnerXX94.009757867373657861686059842561626850650
2Cam DarcyX100.006868686568626359746053605044445850570
3Jaedon Descheneau (R)XX100.007265896265484657715356615344445950550
4Sam Kurker (R)X100.007875846575565849504647624544445450540
5Julius Nattinen (R)X100.008176936776505149614746644444445550540
6Brian HartXX100.007675786375515249504647614544445450530
7Stephen GiontaXX100.007063876563565848604546584444445350520
8Xavier OuelletX87.727143957774647361255347742559606150640
9Adam ClendeningX100.006670576770525449254140593855555150550
10Petteri LindbohmX100.007474756974565945253440603847475150550
11Keaton Thompson (R)X100.007267856267677247253841593944445250550
12Brian Cooper (R)X100.007469856269555747254039603744445150540
TEAM AVERAGE98.78766584697262695546495165394949595059
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
1Matthew O'Connor100.00526581814852505749493044445350550
2Steve Michalek100.00545366795655505854533044445450550
Scratches
TEAM AVERAGE100.0053597480525450585251304444545055
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dallas Eakins79714747585159USA471800,000$


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 NamePOS GP 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
1Kevin RoyGulls (ANA)LW5134-10006100010.00%010621.350112190000150070.00%1000000.7500000100
2Jarred TinordiGulls (ANA)D511224023100100.00%1489.7110111000010000.00%100000.8200000001
3Xavier OuelletGulls (ANA)D51120206740025.00%29919.91101317000017000.00%000000.4000000000
4Chris WagnerGulls (ANA)C/RW5101-1135201580012.50%111122.290000170001150067.35%4900000.1801100001
5Jaycob MegnaGulls (ANA)D51010007790011.11%010621.24000819000022000.00%000000.1900000010
6Jordin TootooGulls (ANA)LW/RW5011000363000.00%18717.59011017000030016.67%600000.2300000000
7Lukas SedlakGulls (ANA)C41010201640025.00%08220.53000011000190067.27%5500000.2400000000
8Matt BeleskeyGulls (ANA)LW5011-11201459000.00%07915.930000100000600100.00%200000.2500000000
9Matthew SpencerGulls (ANA)D5011-21201211000.00%47214.400110300003000.00%000000.2800000000
10Stefan LeblancGulls (ANA)D3011200100000.00%0289.480000000000000.00%000000.7000000000
11Kevin SpinozziGulls (ANA)D5011-200950000.00%27014.1300000000010000.00%000000.2800000100
12Mitch HultsGulls (ANA)C5011-140660000.00%06012.0301101000030057.69%2600000.3300000000
13Antoine LaganiereGulls (ANA)C5000-120467000.00%010320.78000116000130063.33%3000000.0001000000
14Marcus PetterssonGulls (ANA)D5000-300255000.00%410020.18000417000021000.00%000000.0000000000
15Michael SgarbossaGulls (ANA)C5000-100345000.00%05711.5000015000040062.96%2700000.0000000000
16Gabriel FontaineGulls (ANA)C2000020021000.00%0147.0800010000070060.00%500000.0000000000
17Ian McCoshenGulls (ANA)D5000-3120922000.00%19619.35000017000016000.00%000000.0000000000
18Matthew PecaGulls (ANA)C1000100150000.00%02323.3700001000030068.00%2500000.0000000000
19Cam DarcyGulls (ANA)C2000-100002000.00%0178.8800001000000057.14%700000.0000000000
Team Total or Average8261117-126551009171008.45%16136716.682462118000031770063.79%24300000.2502100212
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
1Matthew O'ConnorGulls (ANA)50320.8752.272910111880000.667350010
2Steve MichalekGulls (ANA)10001.0000.001500040000.000005000
Team Total or Average60320.8802.163060111920000.667355010


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 CONT StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Adam ClendeningGulls (ANA)D251992-10-25No196 Lbs6 ft0NoNoNo1ELCPro & Farm650,000$Link
Antoine LaganiereGulls (ANA)C281990-07-04No196 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$Link
Brian CooperGulls (ANA)D241993-10-31Yes197 Lbs5 ft10NoNoNo2ELCPro & Farm500,000$500,000$Link
Brian HartGulls (ANA)LW/RW241993-11-25No203 Lbs6 ft2NoNoNo1ELCPro & Farm800,000$Link
Cam DarcyGulls (ANA)C241994-03-02No186 Lbs6 ft0NoNoNo1ELCPro & Farm500,000$Link
Chris WagnerGulls (ANA)C/RW271991-05-27No195 Lbs6 ft0NoNoNo4RFAPro & Farm700,000$700,000$700,000$700,000$Link
Gabriel FontaineGulls (ANA)C211997-04-30Yes191 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$500,000$500,000$Link
Ian McCoshenGulls (ANA)D231995-08-04No217 Lbs6 ft3NoNoNo2ELCPro & Farm850,000$850,000$Link
Jaedon DescheneauGulls (ANA)C/RW231995-02-21Yes186 Lbs5 ft9NoNoNo2ELCPro & Farm500,000$500,000$Link
Jarred TinordiGulls (ANA)D261992-02-20No230 Lbs6 ft6NoNoNo4ELCPro & Farm750,000$750,000$750,000$750,000$Link
Jaycob MegnaGulls (ANA)D251992-12-10No225 Lbs6 ft6NoNoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Jordin TootooGulls (ANA)LW/RW351983-02-02No195 Lbs5 ft9NoNoNo2UFAPro & Farm900,000$900,000$Link
Julius NattinenGulls (ANA)C211997-01-14Yes191 Lbs6 ft2NoNoNo3ELCPro & Farm800,000$800,000$800,000$Link
Keaton ThompsonGulls (ANA)D231995-09-13Yes182 Lbs6 ft0NoNoNo2ELCPro & Farm700,000$700,000$Link
Kevin RoyGulls (ANA)LW251993-05-19No174 Lbs5 ft9NoNoNo2ELCPro & Farm650,000$650,000$Link
Kevin SpinozziGulls (ANA)D221996-05-23Yes188 Lbs6 ft2NoNoNo3ELCPro & Farm1,000,000$1,000,000$1,000,000$Link
Lukas SedlakGulls (ANA)C251993-02-25No203 Lbs6 ft0NoNoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Marcus PetterssonGulls (ANA)D221996-05-08Yes167 Lbs6 ft4NoNoNo3ELCPro & Farm850,000$850,000$850,000$Link
Matt BeleskeyGulls (ANA)LW301988-06-06No203 Lbs6 ft0NoNoNo2UFAPro & Farm3,800,000$3,800,000$Link
Matthew O'ConnorGulls (ANA)LW/RW261992-02-14No186 Lbs6 ft5NoNoNo2ELCPro & Farm925,000$925,000$Link
Matthew PecaGulls (ANA)C251993-04-27No155 Lbs5 ft8NoNoNo1ELCPro & Farm500,000$Link
Matthew SpencerGulls (ANA)D211997-03-24Yes206 Lbs6 ft2NoNoNo3ELCPro & Farm850,000$850,000$850,000$Link
Michael SgarbossaGulls (ANA)C261992-07-24No186 Lbs6 ft0NoNoNo2ELCPro & Farm888,888$888,888$Link
Mitch HultsGulls (ANA)C231994-11-13Yes218 Lbs6 ft3NoNoNo2ELCPro & Farm925,000$925,000$Link
Petteri LindbohmGulls (ANA)D251993-09-22No198 Lbs6 ft3NoNoNo2ELCPro & Farm650,000$650,000$Link
Sam KurkerGulls (ANA)RW241994-04-08Yes202 Lbs6 ft2NoNoNo1ELCPro & Farm500,000$Link
Stefan LeblancGulls (ANA)D221996-03-16Yes185 Lbs6 ft0NoNoNo3ELCPro & Farm1,000,000$1,000,000$1,000,000$Link
Stephen GiontaGulls (ANA)C/RW341983-10-08No175 Lbs5 ft7NoNoNo1UFAPro & Farm650,000$Link
Steve MichalekGulls (ANA)C/LW251993-08-05No205 Lbs6 ft3NoNoNo2ELCPro & Farm725,000$725,000$Link
Xavier Ouellet (Out of Payroll)Gulls (ANA)D251993-07-28No208 Lbs6 ft1NoNoNo1ELCPro & Farm1,250,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.97195 Lbs6 ft12.20840,463$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin Roy40122
2Jordin TootooAntoine Laganiere30122
3Matt BeleskeyAntoine Laganiere20122
4Michael Sgarbossa10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jaycob Megna40122
2Ian McCoshenMarcus Pettersson30122
3Matthew SpencerKevin Spinozzi20122
4Jarred TinordiStefan Leblanc10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin Roy60122
2Jordin TootooAntoine Laganiere40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jaycob Megna60122
2Ian McCoshenMarcus Pettersson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Kevin Roy40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jaycob Megna60122
2Ian McCoshenMarcus Pettersson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jaycob Megna60122
240122Ian McCoshenMarcus Pettersson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Kevin Roy40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jaycob Megna60122
2Ian McCoshenMarcus Pettersson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kevin RoyJaycob Megna
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kevin RoyJaycob Megna
Extra Forwards
Normal PowerPlayPenalty Kill
Mitch Hults, Michael Sgarbossa, Matt BeleskeyMitch Hults, Michael SgarbossaMatt Beleskey
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Spencer, Kevin Spinozzi, Jarred TinordiMatthew SpencerKevin Spinozzi, Jarred Tinordi
Penalty Shots
, , , Kevin Roy, Antoine Laganiere
Goalie
#1 : Matthew O'Connor, #2 : Steve Michalek


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
Since Last GM Reset50300101612-63010010136-32020000036-320.200611170002407219282359218651012129.52%30486.67%06411555.65%7612361.79%497169.01%12787115376534
Total50300101612-63010010136-32020000036-320.200611170002407219282359218651012129.52%30486.67%06411555.65%7612361.79%497169.01%12787115376534
Vs Conference40200101510-53010010136-31010000024-220.2505914000240461928235771850821417.14%25484.00%06411555.65%7612361.79%497169.01%12787115376534
Vs Division2020010124-22010010124-20010000000020.5002350002402219282353042042700.00%10280.00%06411555.65%7612361.79%497169.01%12787115376534

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52SOL1611177292186510100
All Games
GPWLOTWOTL SOWSOLGFGA
5030101612
Home Games
GPWLOTWOTL SOWSOLGFGA
301010136
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000036
Last 10 Games
WLOTWOTL SOWSOL
030101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2129.52%30486.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
19282350240
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6411555.65%7612361.79%497169.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12787115376534


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
1 - 2018-09-174Gulls1Americans2LBoxScore
2 - 2018-09-1821Senators2Gulls1LXBoxScore
4 - 2018-09-2046Phantoms3Gulls2LBoxScore
5 - 2018-09-2161Gulls2Senators4LBoxScore
7 - 2018-09-2377Bears1Gulls0LXXBoxScore
8 - 2018-09-2492Gulls-Bears-
9 - 2018-09-25109Gulls-Phantoms-
11 - 2018-09-27119Pirates-Gulls-
12 - 2018-09-28131Penguins-Gulls-
Trade Deadline --- Trades can’t be done after this day is simulated!
13 - 2018-09-29140Gulls-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
2 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,396,389$ 2,368,167$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 8 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT