Admirals

GP: 7 | W: 5 | L: 2 | OTL: 0 | P: 10
GF: 13 | GA: 10 | PP%: 25.00% | PK%: 82.35%
GM : Stu Lap | Morale : 52 | Team Overall : 61
Next Games vs Ice Hogs
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
1Matt Hendricks (A)XXX100.008695817478546861776158857875776751660
2Tyson Jost (R)XX99.006542878769687079516271622556567053650
3Joel Ward (C)XX96.006943887381628258596159716378826453640
4Jori LehteraXXX100.007344927778578064645857706365676453630
5Mason Appleton (R)XXX100.007675786675727465806660655744446553620
6Paul CareyXXX100.007643898070567858426162672555566653620
7Tyler MotteXXX100.008544957467598559345460772554546753620
8Bobby ButlerX100.007570856370636462505665646244446451590
9Alexander NylanderXX100.007368847268727659506054625144446153590
10Carter CamperX100.007062886862687060756748614644445950580
11Alexander Volkov (R)XX100.007471826471666861505661635844446253580
12Xavier Ouellet (A)X98.007143957774647361255347742559606151640
13Marcus Pettersson (R)X100.007143917471637162255248712546466053620
14Ville PokkaX100.008076887176808753254943644144445853620
15Matt BartkowskiX100.008245926972625853255347682564655953610
16Travis SanheimX99.006742877770688764255348612548486053610
17Jacob MacDonald (R)X100.007773866173666862255258655544446353600
Scratches
1Matt BeleskeyX100.008899627276586763335055582569715947590
2Josh Jacobs (R)X100.007775826275646849254439623744445348570
3Robin Norell (R)X100.007470826270727944253439593744445148560
TEAM AVERAGE99.60756186717265746043555466425354625261
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
1Ville Husso96.00655873816871627071693044446653650
Scratches
1Alex Stalock100.00736967707570626980734455567153670
2C.J. Motte100.00595366636266576466643044446148590
3Collin Delia (R)100.00555468755557556057573044445648560
TEAM AVERAGE99.0063596972656659666966344747645162
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Tyson Jost Admirals (NSH)C/LW74913075101234152511.76%412517.941236190001101052.63%3853002.0700001111
2Joel Ward Admirals (NSH)LW/RW7561142098297917.24%612517.89123421000061037.50%824001.7600000210
3Mason Appleton Admirals (NSH)C/LW/RW7268338201215166612.50%59814.0610124000030054.79%14654001.6300220000
4Jori Lehtera Admirals (NSH)C/LW/RW7246000761861411.11%110915.70112116000080050.00%4448001.0900000001
5Matt Hendricks Admirals (NSH)C/LW/RW633614010101771017.65%510016.710112161011100057.14%7724001.2000000002
6Paul Carey Admirals (NSH)C/LW/RW723515514123816.67%39814.11000215000000060.00%571001.0100100010
7Bobby Butler Admirals (NSH)RW6325300552981810.34%18213.8200002011051066.67%340001.2100000001
8Marcus Pettersson Admirals (NSH)D740430064142328.57%1013018.6510125000013100.00%0111000.6100000200
9Tyler Motte Admirals (NSH)C/LW/RW7134020610104510.00%09513.70123115000000050.00%426000.8300000000
10Alexander Nylander Admirals (NSH)LW/RW7123-16057164146.25%19513.6000003000020061.54%1344000.6300000001
11Travis Sanheim Admirals (NSH)D7033-100749230.00%715822.6802231900003000.00%029000.3800000000
12Will ButcherPredatorsD1022000217310.00%02525.030111200002000.00%011001.6000000000
13Matt Bartkowski Admirals (NSH)D71124006451620.00%1012117.4000011300008100.00%026000.3300000000
14Oliver BjorkstrandPredatorsLW/RW11121001232533.33%02323.2301102000020050.00%231001.7200000010
15Ville Pokka Admirals (NSH)D70222556103250.00%512618.0900008000011000.00%0210000.3200100000
16Jacob MacDonald Admirals (NSH)D71125101010773214.29%212718.2210132000002000.00%0413000.3100110000
17Carter Camper Admirals (NSH)C5011-1202211370.00%05911.9700000000000038.89%1822000.3300000000
18Alexander Volkov Admirals (NSH)LW/RW21012003031233.33%02412.380000000000000.00%001000.8100000000
19Xavier Ouellet Admirals (NSH)D6011000489640.00%914524.17011112000013000.00%0010000.1400000000
20Matt Beleskey Admirals (NSH)LW1000-195111110.00%099.120000000000000.00%000000.0000010000
Team Total or Average1123150812590501131202538614812.25%69188416.83713202919911221065053.63%3585298000.8600541546
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
1Alex Stalock Admirals (NSH)33000.8883.3318000108944000.000030000
2Ville Husso Admirals (NSH)42200.8993.01239001211969000.000045000
Team Total or Average75200.8943.154190022208113000.000075000


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
Alex Stalock Admirals (NSH)D301988-07-28No187 Lbs6 ft0NoNoNo4UFAPro & Farm850,000$850,000$850,000$850,000$Link
Alexander Nylander Admirals (NSH)LW/RW201998-03-01No180 Lbs6 ft1NoNoNo2ELCPro & Farm950,000$950,000$Link
Alexander Volkov Admirals (NSH)LW/RW211997-08-02Yes191 Lbs6 ft1NoNoNo3RFAPro & Farm800,000$800,000$800,000$Link
Bobby Butler Admirals (NSH)RW311987-04-26No189 Lbs6 ft0NoNoNo4UFAPro & Farm650,000$650,000$650,000$650,000$Link
C.J. Motte Admirals (NSH)G261991-12-10No176 Lbs6 ft0NoNoNo1RFAPro & Farm650,000$Link
Carter Camper Admirals (NSH)C291989-07-06No176 Lbs5 ft9NoNoNo4UFAPro & Farm650,000$650,000$650,000$650,000$Link
Collin Delia Admirals (NSH)G241994-06-20Yes190 Lbs6 ft2NoNoNo3RFAPro & Farm850,000$850,000$850,000$Link
Jacob MacDonald Admirals (NSH)D251993-02-26Yes201 Lbs6 ft0NoNoNo1RFAPro & Farm600,000$Link
Joel Ward Admirals (NSH)LW/RW371981-07-15 1:46:14 AMNo225 Lbs6 ft1NoNoNo4UFAPro & Farm650,000$650,000$650,000$650,000$Link
Jori Lehtera Admirals (NSH)C/LW/RW301987-12-23No212 Lbs6 ft2NoNoNo4UFAPro & Farm850,000$850,000$850,000$850,000$Link
Josh Jacobs Admirals (NSH)D221996-02-14Yes200 Lbs6 ft2NoNoNo2RFAPro & Farm850,000$850,000$Link
Marcus Pettersson Admirals (NSH)D221996-05-08Yes167 Lbs6 ft4NoNoNo3RFAPro & Farm850,000$850,000$850,000$Link
Mason Appleton Admirals (NSH)C/LW/RW221996-01-15Yes201 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Matt Bartkowski Admirals (NSH)D291989-06-04No196 Lbs6 ft1NoNoNo4UFAPro & Farm650,000$650,000$650,000$650,000$Link
Matt Beleskey Admirals (NSH)LW291989-07-15 1:46:14 AMNo203 Lbs6 ft0NoNoNo4UFAPro & Farm850,000$850,000$850,000$850,000$Link
Matt Hendricks Admirals (NSH)C/LW/RW361982-07-15 7:46:14 AMNo209 Lbs6 ft0NoNoNo3UFAPro & Farm850,000$850,000$850,000$Link
Paul Carey Admirals (NSH)C/LW/RW301988-09-24No198 Lbs6 ft1NoNoNo3UFAPro & Farm800,000$800,000$800,000$Link
Robin Norell Admirals (NSH)D231995-02-17Yes192 Lbs5 ft11NoNoNo2RFAPro & Farm600,000$600,000$Link
Travis Sanheim Admirals (NSH)D221996-03-28No181 Lbs6 ft3NoNoNo2RFAPro & Farm900,000$900,000$Link
Tyler Motte Admirals (NSH)C/LW/RW231995-03-10No188 Lbs5 ft9NoNoNo2RFAPro & Farm500,000$500,000$Link
Tyson Jost Admirals (NSH)C/LW201998-03-14Yes191 Lbs5 ft11NoNoNo3ELCPro & Farm950,000$950,000$950,000$Link
Ville Husso Admirals (NSH)C/LW/RW231995-02-05No205 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$650,000$Link
Ville Pokka Admirals (NSH)D241994-06-02No214 Lbs6 ft0NoNoNo2RFAPro & Farm650,000$650,000$Link
Xavier Ouellet Admirals (NSH)D251993-07-29No208 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$950,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.96195 Lbs6 ft12.79752,083$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson JostMason AppletonJoel Ward40122
2Paul CareyMatt HendricksTyler Motte30122
3Alexander NylanderJori Lehtera20122
4Carter CamperBobby Butler10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletTravis Sanheim40122
2Marcus PetterssonMatt Bartkowski30122
3Ville PokkaJacob MacDonald30122
4Xavier OuelletMarcus Pettersson0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson JostMatt HendricksJoel Ward60122
2Paul CareyJori LehteraTyler Motte40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis SanheimJacob MacDonald60122
2Xavier OuelletMatt Bartkowski40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt HendricksTyson Jost60122
2Joel WardJori Lehtera40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletMarcus Pettersson60122
2Ville PokkaMatt Bartkowski40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Hendricks60122Xavier OuelletMarcus Pettersson60122
2Tyson Jost40122Ville PokkaMatt Bartkowski40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt HendricksTyson Jost60122
2Joel WardJori Lehtera40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Xavier OuelletMarcus Pettersson60122
2Ville PokkaMatt Bartkowski40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyson JostMatt HendricksJoel WardXavier OuelletMarcus Pettersson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyson JostMatt HendricksJoel WardXavier OuelletMarcus Pettersson
Extra Forwards
Normal PowerPlayPenalty Kill
Mason Appleton, Alexander Nylander, Bobby ButlerMason Appleton, Alexander NylanderBobby Butler
Extra Defensemen
Normal PowerPlayPenalty Kill
Travis Sanheim, Jacob MacDonald, Ville PokkaTravis SanheimJacob MacDonald, Ville Pokka
Penalty Shots
Matt Hendricks, Tyson Jost, Joel Ward, Jori Lehtera, Paul Carey
Goalie
#1 : , #2 : Ville Husso


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
1Griffins211000006601010000014-31100000052320.50061117001013906573899906121424010110.00%6183.33%17815052.00%7112556.80%5510850.93%138781695811258
2Ice Hogs220000001266110000006241100000064241.00012183000101390747389990601731309333.33%8187.50%07815052.00%7112556.80%5510850.93%138781695811258
Since Last GM Reset7520000032221032100000131034310000019127100.714325385001013902617389990208709412828725.00%17382.35%17815052.00%7112556.80%5510850.93%138781695811258
Total7520000032221032100000131034310000019127100.714325385001013902617389990208709412828725.00%17382.35%17815052.00%7112556.80%5510850.93%138781695811258
Vs Conference7520000032221032100000131034310000019127100.714325385001013902617389990208709412828725.00%17382.35%17815052.00%7112556.80%5510850.93%138781695811258
Vs Division552000002616102210000012663310000014104101.00026426800101390196738999014749528818633.33%11281.82%07815052.00%7112556.80%5510850.93%138781695811258
7Wolves220000001275110000006421100000063341.00012213300101390767389990622721366233.33%3166.67%07815052.00%7112556.80%5510850.93%138781695811258
8Wolves1010000023-1000000000001010000023-100.000235001013904673899902550223133.33%000.00%07815052.00%7112556.80%5510850.93%138781695811258

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
710L2325385261208709412800
All Games
GPWLOTWOTL SOWSOLGFGA
75200003222
Home Games
GPWLOTWOTL SOWSOLGFGA
32100001310
Visitor Games
GPWLOTWOTL SOWSOLGFGA
43100001912
Last 10 Games
WLOTWOTL SOWSOL
520000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
28725.00%17382.35%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7389990101390
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7815052.00%7112556.80%5510850.93%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
138781695811258


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 - 2018-09-178 Admirals6Ice Hogs4WBoxScore
2 - 2018-09-1820 Admirals5Griffins2WBoxScore
3 - 2018-09-1928Wolves4 Admirals6WBoxScore
4 - 2018-09-2046 Admirals6Wolves3WBoxScore
5 - 2018-09-2157Ice Hogs2 Admirals6WBoxScore
7 - 2018-09-2376 Admirals2Wolves3LBoxScore
8 - 2018-09-2489Griffins4 Admirals1LBoxScore
10 - 2018-09-26100 Admirals-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
13 - 2018-09-29120Monsters- Admirals-
17 - 2018-10-03148Wolves- Admirals-



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
1,805,000$ 1,480,000$ 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$ 9 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