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Admirals
GP: 3 | W: 2 | L: 1
GF: 10 | GA: 5 | PP%: 0.00% | PK%: 66.67%
GM : André | Morale : 97 | Team Overall : N/A
Next Games #25 vs Moose

Game Center
Admirals
2-1-0, 4pts
5
FINAL
1 Moose
1-2-0, 2pts
Team Stats
L1StreakW1
0-1-0Home Record0-2-0
2-0-0Home Record1-0-0
2-1-0Last 10 Games1-2-0
3.33Goals Per Game1.67
1.67Goals Against Per Game3.33
0.00%Power Play Percentage33.33%
66.67%Penalty Kill Percentage100.00%
Moose
1-2-0, 2pts
3
FINAL
2 Admirals
2-1-0, 4pts
Team Stats
W1StreakL1
0-2-0Home Record0-1-0
1-0-0Home Record2-0-0
1-2-0Last 10 Games2-1-0
1.67Goals Per Game3.33
3.33Goals Against Per Game1.67
33.33%Power Play Percentage0.00%
100.00%Penalty Kill Percentage66.67%
Moose
1-2-0, 2pts
Day 7
Admirals
2-1-0, 4pts
Team Stats
W1StreakL1
0-2-0Home Record0-1-0
1-0-0Away Record2-0-0
1-2-0Last 10 Games2-1-0
1.67Goals Per Game3.33
3.33Goals Against Per Game3.33
33.33%Power Play Percentage0.00%
100.00%Penalty Kill Percentage66.67%
Admirals
2-1-0, 4pts
Day 9
Moose
1-2-0, 2pts
Team Stats
L1StreakW1
0-1-0Home Record0-2-0
2-0-0Away Record1-0-0
2-1-0Last 10 Games1-2-0
3.33Goals Per Game1.67
1.67Goals Against Per Game1.67
0.00%Power Play Percentage33.33%
66.67%Penalty Kill Percentage100.00%
Moose
1-2-0, 2pts
Day 11
Admirals
2-1-0, 4pts
Team Stats
W1StreakL1
0-2-0Home Record0-1-0
1-0-0Away Record2-0-0
1-2-0Last 10 Games2-1-0
1.67Goals Per Game3.33
3.33Goals Against Per Game3.33
33.33%Power Play Percentage0.00%
100.00%Penalty Kill Percentage66.67%
Team Leaders
Goals
Evgenii Dadonov
3
Assists
Pierre Engvall
3
Points
Pierre Engvall
4
Plus/Minus
Ian Moore
8
Wins
Jiri Patera
1
Save Percentage
Jiri Patera
0.918

Team Stats
Goals For
10
3.33 GFG
Shots For
84
28.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
37.5%
Goals Against
5
1.67 GAA
Shots Against
72
24.00 Avg
Penalty Kill Percentage
66.7%%
5 GA
Defensive Zone Start
42.4%
Team Info

General ManagerAndré
CoachAnders Sorensen
DivisionAtlantic Division
ConferenceEastern Conference
CaptainCurtis Douglas
Assistant #1Filip Zadina
Assistant #2Ilya Solovyov


Arena Info

Capacity8,000
Attendance7,979
Season Tickets800


Roster Info

Pro Team36
Farm Team23
Contract Limit59 / 65
Prospects18


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
1Oliver WahlstromXX100.00675887677877886965656668664961033002411,500,000$
2Valtteri PuustinenXX100.00605094716976896861686767655062080002511,400,000$
3Evgenii DadonovXX100.00655094857180947661717467657163077003511,650,000$
4Pierre EngvallXX100.00675093758278907161666967655760082002822,650,000$
5Curtis Douglas (C)X100.0060606060607070606060606060566208100241826,875$
6Andrew MangiapaneXX100.00695093816980947361687068655864083002823,750,000$
7Filip Zadina (A)XX100.00675093797280707361677169675359081002511,900,000$
8Landon SlaggertXX100.00675489736979917061666670654055080002231,350,000$
9Josh DaviesXXX100.0060606060607070606060606060405506701202650,000$
10Ty MuellerXXX100.0060509270707791637164627065405508401212825,000$
11Aleksanteri Kaskimaki (R)X100.00606060606070706060606060604655028002031,250,000$
12Isaac Howard (R)X100.00606060606070706060606060604655067002031,500,000$
13Jacob BengtssonX100.0060606060607070606060606060405506900251682,500$
14Ilya Solovyov (A)X100.0070509070798290642565627365535907500242771,750$
15Calle OdeliusX100.00606060606070706060606060604055032002011,250,000$
16Axel Sandin PellikkaX100.00606060606070706060606060604055081011921,500,000$
17Ian MooreX100.00606060606070706060606060604055077012211,250,000$
18Zayne Parekh (R)X100.00606060606070706060606060604655074001831,500,000$
Scratches
1Egor SokolovXX100.00606060606070706060606060605157077002411,312,500$
2Samu TuomaalaXX100.00606060606070706060606060604055021002121,312,500$
3Shane BowersX100.00685091627175926261636171655262076002511,519,383$
4Arseny GritsyukXX100.0060606060607070606060606060405503200232735,000$
5Judd CaulfieldXX100.0060606060607070606060606060405502700231866,250$
6Justin ErtelXX100.0060606060607070606060606060405502401212975,000$
7Milo RoelensXXX100.0060606060607070606060606060405502100212750,000$
8Jared Wright (R)X100.0060606060607070606060606060465502300222700,000$
9Mikhail Ilyin (R)XX100.0060606060607070606060606060465502200193750,000$
10Eriks Mateiko (R)XX100.0060606060607070606060606060465502200193825,000$
11Hunter St. Martin (R)X100.0060606060607070606060606060485502300193650,000$
12Eemil ViroX100.00606060606070706060606060604959057002211,023,750$
13Evan NauseX100.00606060606070706060606060604055024002111,312,500$
14Cade WebberX100.0060606060607070606060606060405502401231825,000$
TEAM AVERAGE100.006257706464737663606262636246570540
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
1Tristan Lennox100.006070706060606060606060405506400221975,000$
Scratches
1Marcus Hogberg96.5169767193626366636962716166031003011,000,000$
2Jiri Patera100.0060707060606060606060605265069002511,447,031$
3Evan Gardner (R)100.006070706060606060606060445506500183975,000$
TEAM AVERAGE99.00627270686161626162616349600570
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Anders Sorensen7477748963681SWE502600,000$


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
1Pierre EngvallAdmirals (NSH)LW/RW31343002412168.33%14113.820000000000000%010001.9300000010
2Evgenii DadonovAdmirals (NSH)LW/RW3303355231231025.00%25819.6000001000052045.45%2222001.0200001100
3Valtteri PuustinenAdmirals (NSH)LW/RW3022300547200%45117.1300002000000066.67%334000.7800000001
4Curtis DouglasAdmirals (NSH)C311232063124100.00%35117.23000000000100046.15%3910000.7700000010
5Andrew MangiapaneAdmirals (NSH)LW/RW311235571101410.00%25418.1800022000060054.55%1141000.7300100100
6Landon SlaggertAdmirals (NSH)LW/RW31123558285612.50%05317.710000000011000100.00%160000.7500010100
7Ty MuellerAdmirals (NSH)C/LW/RW31123003451120.00%04715.7100012000000043.75%3211000.8500000000
8Zayne ParekhAdmirals (NSH)D3022140413130%55518.5700000000010000%002000.7200000000
9Isaac HowardAdmirals (NSH)LW1022100204010%01515.23000000000300100.00%102002.6300000001
10Ilya SolovyovAdmirals (NSH)D31012002460216.67%67224.2000002000011000%011000.2800000000
11Filip ZadinaAdmirals (NSH)LW/RW31013000332433.33%04414.870000100000000%120000.4500000000
12Josh DaviesAdmirals (NSH)C/LW/RW3011360631210%04515.2000001000010060.71%2800000.4400000000
13Ian MooreAdmirals (NSH)D3011840332000%16020.220000100007000%000000.3300000000
14Oliver WahlstromAdmirals (NSH)LW/RW3000220351410%03712.570000000002000%01100000000000
15Jacob BengtssonAdmirals (NSH)D30001115234100%46521.970000200018000%00300000001000
16Eemil ViroAdmirals (NSH)D2000140201000%12814.200000000000000%00000000000000
17Egor SokolovAdmirals (NSH)LW/RW2000000000000%000.400000000000000%00000000000000
18Shane BowersAdmirals (NSH)C2000000000000%031.59000000000100100.00%20000000000000
19Calle OdeliusAdmirals (NSH)D1000020101010%11818.080000000002000%00000000000000
20Axel Sandin PellikkaAdmirals (NSH)D3000700622010%45819.410000100005000%01000000000000
21Aleksanteri KaskimakiAdmirals (NSH)C1000000111000%01111.6300000000030025.00%40100000000000
Team Total or Average54101525505020654684254511.90%3487616.230003190002922050.00%1442318000.5700112322
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
1Jiri PateraAdmirals (NSH)21100.9182.001200044925000020000
2Tristan LennoxAdmirals (NSH)11000.9231.6237001138000001000
3Marcus HogbergAdmirals (NSH)10001.000022000107000010000
Team Total or Average42100.9311.67180005724000031000


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
Aleksanteri KaskimakiAdmirals (NSH)C202004-02-06FINYes192 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Andrew MangiapaneAdmirals (NSH)LW/RW281996-04-04CANNo183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm3,750,000$2,142,857$375,000$214,286$No3,750,000$--------3,750,000$--------No--------
Arseny GritsyukAdmirals (NSH)LW/RW232001-03-15RUSNo174 Lbs5 ft11NoNoN/ANoNo22025-09-30FalseFalsePro & Farm735,000$420,000$73,500$42,000$No735,000$--------735,000$--------No--------
Axel Sandin PellikkaAdmirals (NSH)D192005-03-11SWENo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No1,500,000$--------1,500,000$--------No--------
Cade WebberAdmirals (NSH)D232001-01-05USANo194 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm825,000$471,429$82,500$47,143$No---------------------------
Calle OdeliusAdmirals (NSH)D202004-05-30SWENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Curtis DouglasAdmirals (NSH)C242000-03-06CANNo249 Lbs6 ft8NoNoN/ANoNo12025-09-30FalseFalsePro & Farm826,875$472,500$82,688$47,250$No---------------------------
Eemil ViroAdmirals (NSH)D222002-04-03FINNo165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$585,000$102,375$58,500$No---------------------------
Egor SokolovAdmirals (NSH)LW/RW242000-06-07RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No---------------------------
Eriks MateikoAdmirals (NSH)LW/RW192005-11-18LATYes209 Lbs6 ft4NoNoDraftNoNo32025-08-30FalseFalsePro & Farm825,000$471,429$82,500$47,143$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Evan GardnerAdmirals (NSH)G182006-01-25CANYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$557,143$97,500$55,714$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Evan NauseAdmirals (NSH)D212003-01-20CANNo185 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No---------------------------
Evgenii DadonovAdmirals (NSH)LW/RW351989-03-12RUSNo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,650,000$942,857$165,000$94,286$No---------------------------
Filip ZadinaAdmirals (NSH)LW/RW251999-11-27CZENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$1,085,714$190,000$108,571$No---------------------------
Hunter St. MartinAdmirals (NSH)LW192005-06-13CANYes185 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Ian MooreAdmirals (NSH)D222002-01-04USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Ilya SolovyovAdmirals (NSH)D242000-07-20BLRNo208 Lbs6 ft3NoNoN/ANoNo22025-09-30FalseFalsePro & Farm771,750$441,000$77,175$44,100$No771,750$--------771,750$--------No--------
Isaac HowardAdmirals (NSH)LW202004-05-30USAYes190 Lbs5 ft9NoNoProspectNoNo32025-08-30FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Jacob BengtssonAdmirals (NSH)D251999-05-08SWENo203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm682,500$390,000$68,250$39,000$No---------------------------
Jared WrightAdmirals (NSH)RW222002-11-22USAYes183 Lbs6 ft1NoNoProspectNoNo22025-08-30FalseFalsePro & Farm700,000$400,000$70,000$40,000$No700,000$--------700,000$--------No--------
Jiri PateraAdmirals (NSH)G251999-02-24CZENo207 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,447,031$826,875$144,703$82,687$No---------------------------
Josh DaviesAdmirals (NSH)C/LW/RW202004-03-24CANNo201 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Judd CaulfieldAdmirals (NSH)LW/RW232001-03-19USANo207 Lbs6 ft3NoNoN/ANoNo12025-09-30FalseFalsePro & Farm866,250$495,000$86,625$49,500$No---------------------------
Justin ErtelAdmirals (NSH)LW/RW212003-05-27CANNo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$557,143$97,500$55,714$No975,000$--------975,000$--------No--------
Landon SlaggertAdmirals (NSH)LW/RW222002-06-25USANo180 Lbs6 ft0NoNoN/ANoNo32025-10-06FalseFalsePro & Farm1,350,000$771,429$135,000$77,143$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------
Marcus HogbergAdmirals (NSH)G301994-11-25SWENo234 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,000,000$571,429$100,000$57,143$No---------------------------
Mikhail IlyinAdmirals (NSH)LW/RW192005-02-15RUSYes181 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm750,000$428,571$75,000$42,857$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Milo RoelensAdmirals (NSH)C/LW/RW212003-01-16CANNo216 Lbs6 ft7NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm750,000$428,571$75,000$42,857$No750,000$--------750,000$--------No--------
Oliver WahlstromAdmirals (NSH)LW/RW242000-06-13USANo205 Lbs6 ft2NoNoWaiverNoNo1FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No---------------------------
Pierre EngvallAdmirals (NSH)LW/RW281996-05-31SWENo215 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm2,650,000$1,514,286$265,000$151,429$No2,650,000$--------2,650,000$--------No--------
Samu TuomaalaAdmirals (NSH)LW/RW212003-01-08FINNo190 Lbs5 ft11NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No1,312,500$--------1,312,500$--------No--------
Shane BowersAdmirals (NSH)C251999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,519,383$868,219$151,938$86,822$No---------------------------
Tristan LennoxAdmirals (NSH)G222002-10-21CANNo196 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$557,143$97,500$55,714$No---------------------------
Ty MuellerAdmirals (NSH)C/LW/RW212003-02-26CANNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$471,429$82,500$47,143$No825,000$--------825,000$--------No--------
Valtteri PuustinenAdmirals (NSH)LW/RW251999-06-04FINNo182 Lbs5 ft10NoNoTrade2025-10-23NoNo1FalseFalsePro & Farm1,400,000$800,000$140,000$80,000$No---------------------------
Zayne ParekhAdmirals (NSH)D182006-02-15CANYes185 Lbs5 ft10NoNoTrade2025-10-23NoNo32025-08-20FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3622.72195 Lbs6 ft11.751,226,668$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew MangiapaneTy MuellerValtteri Puustinen30113
2Evgenii DadonovJosh DaviesFilip Zadina28113
3Isaac HowardCurtis DouglasPierre Engvall24122
4Landon SlaggertAleksanteri KaskimakiOliver Wahlstrom18122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob BengtssonIlya Solovyov37122
2Axel Sandin PellikkaIan Moore33122
3Zayne ParekhCalle Odelius25122
4Zayne ParekhCalle Odelius5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew MangiapaneTy MuellerValtteri Puustinen50005
2Evgenii DadonovJosh DaviesFilip Zadina50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob BengtssonIlya Solovyov50122
2Axel Sandin PellikkaIan Moore50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Curtis DouglasIsaac Howard50122
2Aleksanteri KaskimakiLandon Slaggert50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhCalle Odelius50122
2Jacob BengtssonIlya Solovyov50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Curtis Douglas50122Axel Sandin PellikkaIan Moore50122
2Aleksanteri Kaskimaki50122Zayne ParekhCalle Odelius50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ty MuellerValtteri Puustinen50122
2Josh DaviesFilip Zadina50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob BengtssonIlya Solovyov50122
2Axel Sandin PellikkaIan Moore50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew MangiapaneTy MuellerValtteri PuustinenJacob BengtssonIlya Solovyov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Evgenii DadonovCurtis DouglasFilip ZadinaAxel Sandin PellikkaIan Moore
Extra Forwards
Normal PowerPlayPenalty Kill
Valtteri Puustinen, Andrew Mangiapane, Evgenii DadonovPierre Engvall, Oliver WahlstromLandon Slaggert
Extra Defensemen
Normal PowerPlayPenalty Kill
Ian Moore, Zayne Parekh, Calle OdeliusIan MooreAxel Sandin Pellikka, Ian Moore
Penalty Shots
Andrew Mangiapane, Ty Mueller, Evgenii Dadonov, Pierre Engvall, Filip Zadina
Goalie
#1 : , #2 : Tristan Lennox


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
1Moose3210000010551010000023-12200000082640.66710152500361084273918072345065200.00%15566.67%0205437.04%366159.02%162955.17%613054296330
Total3210000010551010000023-12200000082640.66710152500361084273918072345065200.00%15566.67%0205437.04%366159.02%162955.17%613054296330
_Since Last GM Reset3210000010551010000023-12200000082640.66710152500361084273918072345065200.00%15566.67%0205437.04%366159.02%162955.17%613054296330
_Vs Conference3210000010551010000023-12200000082640.66710152500361084273918072345065200.00%15566.67%0205437.04%366159.02%162955.17%613054296330

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34L1101525847234506500
All Games
GPWLOTWOTL SOWSOLGFGA
3210000105
Home Games
GPWLOTWOTL SOWSOLGFGA
101000023
Visitor Games
GPWLOTWOTL SOWSOLGFGA
220000082
Last 10 Games
WLOTWOTL SOWSOL
210000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
200.00%15566.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27391803610
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
205437.04%366159.02%162955.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
613054296330


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
11Admirals3Moose1WBoxScore
39Admirals5Moose1WBoxScore
517Moose3Admirals2LBoxScore
725Moose-Admirals-
933Admirals-Moose-
1141Moose-Admirals-
1349Admirals-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3412
Attendance2,4795,500
Attendance PCT99.16%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 7979 - 99.74% 180,343$180,343$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,416,004$ 4,416,004$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 36 0

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




Admirals 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

Admirals Goalies Stat Leaders (Regular Season)

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

Admirals 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

Admirals 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

Admirals Goalies Stat Leaders (Play-Off)

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