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Admirals
GP: 80 | W: 33 | L: 35 | OTL: 12 | P: 78
GF: 332 | GA: 355 | PP%: 26.45% | PK%: 77.44%
GM : Dany Potvin | Morale : 20 | Team Overall : 64
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Game Center
Checkers
44-30-6, 94pts
8
FINAL
6 Admirals
33-35-12, 78pts
Team Stats
L1StreakW1
25-13-2Home Record18-17-5
19-17-4Home Record15-18-7
5-5-0Last 10 Games3-7-0
4.48Goals Per Game4.15
4.23Goals Against Per Game4.44
22.79%Power Play Percentage26.45%
75.17%Penalty Kill Percentage77.44%
Admirals
33-35-12, 78pts
5
FINAL
2 Silver Knights
38-39-3, 79pts
Team Stats
W1StreakL3
18-17-5Home Record22-17-1
15-18-7Home Record16-22-2
3-7-0Last 10 Games3-7-0
4.15Goals Per Game3.79
4.44Goals Against Per Game4.23
26.45%Power Play Percentage19.75%
77.44%Penalty Kill Percentage78.59%
Team Leaders
Goals
Hunter Shinkaruk
47
Assists
Mark McNeill
55
Points
Mark McNeill
101
Plus/Minus
Nolan Vesey
5
Wins
Felix Sanstrom
18
Save Percentage
Linus Ullmark
0.912

Team Stats
Goals For
332
4.15 GFG
Shots For
2610
32.63 Avg
Power Play Percentage
26.5%
82 GF
Offensive Zone Start
35.4%
Goals Against
355
4.44 GAA
Shots Against
2608
32.60 Avg
Penalty Kill Percentage
77.4%%
67 GA
Defensive Zone Start
36.8%
Team Info

General ManagerDany Potvin
CoachWayne Gretzky
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,746
Season Tickets300


Roster Info

Pro Team35
Farm Team19
Contract Limit54 / 250
Prospects0


Filter Tips
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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.
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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
1Anton GustafssonX100.008029757383737672767775697274592738730282975,000$
2Mark McNeillX100.007338777476747175777174737358514037720251900,000$
3Hunter Shinkaruk (R)X100.006739797370737470677182617554514032700242950,000$
4Lucas Wallmark (R)X100.006332827677757768827465726851484428700233900,000$
5Kasper Bjorkqvist (R)X100.006539797461757076828868486251484547690242900,000$
6Gerald MayhewX100.005942756264718277696278557459544046670263750,000$
7Nolan Vesey (R)X100.007837747473567674627164575846473918660231795,000$
8Josh Norris (R)X100.005930766767716768605383467145426443630191500,000$
9Drew O'Connor (R)X100.007440646275537664596863515043435920610203999,999$
10Barrett Hayton (R)X100.005633655647536656737868424740407436580182500,000$
11Kristian Vesalainen (R)X100.006728645156586360645863545642426323570191500,000$
12Milos Kelemen (R)X100.005623604679606564655667345943427229560192500,000$
13Mattias BackmanX100.007231767774766870567659745964593223710261750,000$
14T.J BrodieX100.006732768068697271497964755768572639710281800,000$
15Carl Dahlstrom (R)X100.007218846960607059426661775547484018660231650,000$
16Reilly Walsh (R)X100.006033806963626156427050794643426142650191500,000$
17Josh Wesley (R)X100.005839836166696856416955724345454120640222600,000$
18Sean Durzi (R)X100.005640797247576180267257593944426638620202500,000$
19Ian Mitchell (R)X100.004934767458495773417758674144426917620191500,000$
20Sergei Zborovskiy (R)X100.005131786466606146264931724443435024580212500,000$
Scratches
1Riley Barber (R)X82.397134827064666268667366677448473732670241650,000$
2Ryan Olsen (R)X100.005332787269657366616467476946462919620241650,000$
3Troy Bourke (R)X100.004940666958576667646968405246462920600241650,000$
4Carsen Twarynski (R)X100.004334836060786050587060665343454519600212500,000$
5Filip Chlapik (R)X100.006135685565555760705467505243434919580211650,000$
6Bokondji Imama (R)X100.007351654472496658585861415944443919560222750,000$
7Joni Ikonen (R)X100.004419735339483970566049435641415620520191500,000$
8Ruslan Iskhakov (R)X100.005340545862584855465555355040407721510182500,000$
9Christian Djoos (R)X100.007232826968606467486849775548503320680241650,000$
10Olli Juolevi (R)X97.976632778463546280397154715146445928670203700,000$
11Grant Hutton (R)X100.007950526462665347366854563652534219610232750,000$
12Libor Hajek (R)X100.006141736061545758345343604942424819580202500,000$
TEAM AVERAGE99.39633574666563656556676259564846482763
Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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 Jarry100.00767777727079746461817057474240700231650,000$
2Felix Sanstrom100.00677470707170676965657247456038670211650,000$
Scratches
1Linus Ullmark100.00636669575475796659747649473018650251550,000$
TEAM AVERAGE100.0069727266657573666273735146443267
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wayne Gretzky70628291526855Can651850,000$


Filter Tips
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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
1Mark McNeillAdmirals (Nas)RW714655101-1243512810130711119114.98%52153021.561418323721510181816258.90%1635541141.3211001911
2Hunter ShinkarukAdmirals (Nas)LW66473784-18240121762587716418.22%38134820.431413275118701151195343.27%1045425111.2502000365
3Josh NorrisAdmirals (Nas)C80225173-31820111130157518214.01%27149718.7281523202080003594240.53%19272221000.9703000031
4Anton GustafssonAdmirals (Nas)C69234770-53001401162286916310.09%41138920.13416202218211281581155.37%13875826001.0122000431
5Kasper BjorkqvistAdmirals (Nas)RW79273966-1428076521986412313.64%25117114.8351116121451011193048.94%475114101.1301000102
6Gerald MayhewAdmirals (Nas)RW79332659020089832216013414.93%17110514.0056118950004374258.33%483320011.0704000445
7T.J BrodieAdmirals (Nas)D7584654-283958912314353675.59%89158021.0861622242000001163100%03946000.6800000023
8Lucas WallmarkAdmirals (Nas)C69242347-680691011344510317.91%3095713.8735875310161293052.06%6553020000.9800000021
9Olli JuoleviAdmirals (Nas)D787364333957710012957435.43%72149519.175813221860225156100%02847000.5801000200
10Riley BarberAdmirals (Nas)RW662218404605554136428716.18%2869010.46101180000540361.11%183015001.1602000313
11Mattias BackmanAdmirals (Nas)D70112839-72807795109392610.09%84129918.5651015141200002170010%02643100.6000000032
12Ian MitchellAdmirals (Nas)D6173037-320026868438318.33%49103316.95491313113011061110%01837000.7200000102
13Reilly WalshAdmirals (Nas)D8043135-9220711187833345.13%120167220.91381151730111176100%01373000.4200000011
14Nolan VeseyAdmirals (Nas)LW241112235140361749174122.45%1033313.882243290000200063.16%1996001.3800000012
15Barrett HaytonAdmirals (Nas)C7671522130057497615329.21%97289.580000170000140049.70%33894000.6000000020
16Pavol RegendaPredatorsLW7891322-83201016761213514.75%20108213.8701171110110220051.92%52518000.4100000121
17Christian DjoosAdmirals (Nas)D5811213-186036692820133.57%5579813.76011182000087000%0425000.3300000010
18Markus GranlundPredatorsC55813-36014123552214.29%211523.103695220000180051.35%3752002.2500000200
19Drew O'ConnorAdmirals (Nas)LW665712-1350080436528327.69%1377611.770116680001290031.82%22710000.3100000000
20Carl DahlstromAdmirals (Nas)D38088-220215517850%3649112.93000034000044000%0117000.3300000001
21Milos KelemenAdmirals (Nas)LW57448-122052182181019.05%35389.45011027000000056.52%2324000.3011000000
22Josh WesleyAdmirals (Nas)D54066-44073118760%274578.4800005000018000%0118000.2601000000
23Kristian VesalainenAdmirals (Nas)LW3424621203111165912.50%63069.03000010000170050.00%636000.3900000010
24Sean DurziAdmirals (Nas)D77235-1601114196410.53%155597.2700004000017100%018000.1800000000
25Sergei ZborovskiyAdmirals (Nas)D330552001135220%61634.960000000003000%016000.6100000000
26Ruslan IskhakovAdmirals (Nas)C37134-314081553220.00%22296.2100000000000036.07%6113000.3500000000
27Joni IkonenAdmirals (Nas)C61121202241425.00%2559.3100000000000038.10%2101000.7200000000
28Ryan OlsenAdmirals (Nas)C5202-1001340150.00%1408.0800000000001046.67%1510000.9900000010
29Troy BourkeAdmirals (Nas)LW5022-120123330%1408.07000000000000100.00%100000.9900000000
30Bokondji ImamaAdmirals (Nas)LW4011000521010%0348.580000000004000%102000.5800000000
31Grant HuttonAdmirals (Nas)D20011-2601331000%21065.350000100000000%003000.1900000000
32Filip ChlapikAdmirals (Nas)C5000000110000%061.3200000000050050.00%20000000000000
33Morgan RiellyPredatorsD1000-200000210%11414.750000200000000%00000000000000
34Carsen TwarynskiAdmirals (Nas)LW5000000010000%020.440000000000000%00000000000000
Team Total or Average1631331572903-17459715160716632610890147112.68%8832365614.508214722925823014711451796321548.13%4947507561460.76418001303431
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
1Felix SanstromAdmirals (Nas)40181350.8644.40200340147108051860003436001
2Tristan JarryAdmirals (Nas)51142170.8634.472607201941413657410.571144435200
3Linus UllmarkAdmirals (Nas)51100.9122.67225001011454100029000
Team Total or Average963335120.8654.3648366035126071229111148080201


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 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 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
Anton GustafssonAdmirals (Nas)C281990-01-01No193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No975,000$--------No--------
Barrett HaytonAdmirals (Nas)C182000-01-01Yes207 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Bokondji ImamaAdmirals (Nas)LW221996-01-01Yes221 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Carl DahlstromAdmirals (Nas)D231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Carsen TwarynskiAdmirals (Nas)LW211997-01-01Yes198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Christian DjoosAdmirals (Nas)D241994-01-01Yes158 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Drew O'ConnorAdmirals (Nas)LW201998-01-01Yes190 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm999,999$4,975$0$0$No999,999$1,000,000$-------NoNo-------
Felix SanstromAdmirals (Nas)G211997-01-01No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Filip ChlapikAdmirals (Nas)C211997-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Gerald MayhewAdmirals (Nas)RW261992-01-01No161 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$-------NoNo-------
Grant HuttonAdmirals (Nas)D231995-01-01Yes207 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Hunter ShinkarukAdmirals (Nas)LW241994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$4,726$0$0$No950,000$--------No--------
Ian MitchellAdmirals (Nas)D191999-01-01Yes173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Joni IkonenAdmirals (Nas)C191999-01-01Yes171 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Josh NorrisAdmirals (Nas)C191999-01-01Yes199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Josh WesleyAdmirals (Nas)D221996-01-01Yes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Kasper BjorkqvistAdmirals (Nas)RW241994-01-01Yes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Kristian VesalainenAdmirals (Nas)LW191999-01-01Yes207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Libor HajekAdmirals (Nas)D201998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Linus UllmarkAdmirals (Nas)G251993-01-01No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
Lucas WallmarkAdmirals (Nas)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$900,000$-------NoNo-------
Mark McNeillAdmirals (Nas)RW251993-01-01No212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Mattias BackmanAdmirals (Nas)D261992-01-01No180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Milos KelemenAdmirals (Nas)LW191999-01-01Yes210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Nolan VeseyAdmirals (Nas)LW231995-01-01Yes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm795,000$3,955$0$0$No------------------
Olli JuoleviAdmirals (Nas)D201998-01-01Yes183 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$3,483$0$0$No700,000$700,000$-------NoNo-------
Reilly WalshAdmirals (Nas)D191999-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Riley Barber (Out of Payroll)Admirals (Nas)RW241994-01-01Yes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$Yes------------------
Ruslan IskhakovAdmirals (Nas)C182000-01-01Yes165 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Ryan OlsenAdmirals (Nas)C241994-01-01Yes187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Sean DurziAdmirals (Nas)D201998-01-01Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Sergei ZborovskiyAdmirals (Nas)D211997-01-01Yes194 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
T.J BrodieAdmirals (Nas)D281990-01-01No182 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Tristan JarryAdmirals (Nas)G231995-01-01No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Troy BourkeAdmirals (Nas)LW241994-01-01Yes156 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3522.14190 Lbs6 ft11.60664,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Hunter ShinkarukAnton GustafssonMark McNeill40122
2Nolan VeseyLucas WallmarkKasper Bjorkqvist30122
3Drew O'ConnorJosh NorrisGerald Mayhew20122
4Kristian VesalainenBarrett HaytonAnton Gustafsson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1T.J BrodieMattias Backman40122
2Carl DahlstromReilly Walsh30122
3Josh WesleyIan Mitchell20122
4Sean DurziSergei Zborovskiy10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Hunter ShinkarukAnton GustafssonMark McNeill60122
2Nolan VeseyLucas WallmarkKasper Bjorkqvist40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Anton GustafssonMark McNeill60122
2Lucas WallmarkHunter Shinkaruk40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Anton Gustafsson60122T.J BrodieMattias Backman60122
2Mark McNeill40122Carl DahlstromReilly Walsh40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Anton GustafssonMark McNeill60122
2Lucas WallmarkHunter Shinkaruk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Hunter ShinkarukAnton GustafssonMark McNeillT.J BrodieMattias Backman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Hunter ShinkarukAnton GustafssonMark McNeillT.J BrodieMattias Backman
Extra Forwards
Normal PowerPlayPenalty Kill
Milos Kelemen, Gerald Mayhew, Josh NorrisMilos Kelemen, Gerald MayhewJosh Norris
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Wesley, Ian Mitchell, Sean DurziJosh WesleyIan Mitchell, Sean Durzi
Penalty Shots
Anton Gustafsson, Mark McNeill, Lucas Wallmark, Hunter Shinkaruk, Kasper Bjorkqvist
Goalie
#1 : Tristan Jarry, #2 : Felix Sanstrom
Custom OT Lines Forwards
Anton Gustafsson, Mark McNeill, Lucas Wallmark, Hunter Shinkaruk, Kasper Bjorkqvist, Gerald Mayhew, Gerald Mayhew, Nolan Vesey, Josh Norris, Drew O'Connor, Barrett Hayton
Custom OT Lines Defensemen
T.J Brodie, Mattias Backman, Carl Dahlstrom, Reilly Walsh, Josh Wesley


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
1Americans7330000134313413000001623-7320000011881070.50034629600851161286232843876873342407979137311032.26%38684.21%0839173648.33%922180751.02%620136645.39%167594117197501445715
2Barracuda301001101415-1200001108801010000067-130.50014223600851161286101843876873349756206513538.46%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
3Bears21000001761110000003121000000145-130.750712190085116128682843876873347932163122100.00%80100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
4Canucks30300000716-91010000035-220200000411-700.00071219008511612869584387687334983120561317.69%10280.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
5Checkers413000001923-4202000001115-42110000088020.25019335200851161286107843876873341513830739222.22%15380.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
6Comets321000001512311000000523211000001010040.6671523380085116128611084387687334882326664125.00%13561.54%0839173648.33%922180751.02%620136645.39%167594117197501445715
7Condors411002001823-51010000027-5310002001616040.500183149008511612861338438768733412948207918527.78%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
8Crunch20200000410-61010000014-31010000036-300.0004711008511612865184387687334571312419111.11%60100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
9Eagles20200000513-81010000016-51010000047-300.0005101500851161286658438768733466221848500.00%9366.67%0839173648.33%922180751.02%620136645.39%167594117197501445715
10Griffins32001000191272200000015961000100043161.000193453008511612861028438768733410036104710330.00%5180.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
11Icehogs6410010026224330000001486311001001214-290.7502645710085116128619584387687334186745914130930.00%29968.97%0839173648.33%922180751.02%620136645.39%167594117197501445715
12Islander21100000101001010000057-21100000053220.500101727008511612866684387687334572414345120.00%7357.14%1839173648.33%922180751.02%620136645.39%167594117197501445715
13Little Stars3120000078-1211000006601010000012-120.33371118008511612861008438768733495291459900.00%7271.43%0839173648.33%922180751.02%620136645.39%167594117197501445715
14Marlies3200010013112210001008711100000054150.83313223500851161286109843876873349722185911436.36%9277.78%0839173648.33%922180751.02%620136645.39%167594117197501445715
15Moose30300000917-820200000611-51010000036-300.0009162500851161286105843876873349031146412433.33%7357.14%0839173648.33%922180751.02%620136645.39%167594117197501445715
16Penguins2000020057-21000010023-11000010034-120.5005813008511612865884387687334702019449111.11%8187.50%0839173648.33%922180751.02%620136645.39%167594117197501445715
17Phantoms311000011114-31000000167-12110000057-230.500112031008511612861068438768733410234206710440.00%10190.00%1839173648.33%922180751.02%620136645.39%167594117197501445715
18Punishers2110000011110110000007431010000047-320.5001117280085116128666843876873346824184410330.00%9188.89%1839173648.33%922180751.02%620136645.39%167594117197501445715
19Reign31101000111101010000036-32100100085340.6671120310085116128691843876873348830305610110.00%14285.71%0839173648.33%922180751.02%620136645.39%167594117197501445715
20Rocket302001001114-31010000023-120100100911-210.1671114250085116128697843876873341063614601417.14%70100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
21Senators64200000312473300000019118312000001213-180.66731578800851161286177843876873342037270118331339.39%35877.14%1839173648.33%922180751.02%620136645.39%167594117197501445715
22Silver Knights321000001091110000004312110000066040.667101929008511612869784387687334922412598225.00%6183.33%0839173648.33%922180751.02%620136645.39%167594117197501445715
23Thunderbirds2010010069-31000010045-11010000024-210.25061117008511612865684387687334632283812216.67%4175.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
24Wolfpack312000001718-121100000141311010000035-220.33317294610851161286104843876873349534225815426.67%11463.64%0839173648.33%922180751.02%620136645.39%167594117197501445715
25Wranglers3210000012932110000010821100000021140.6671220320085116128610584387687334912820638337.50%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
Total80303502913332355-2340171700411175182-740131802502157173-16780.48833257290410851161286261084387687334260888260316073108226.45%2976777.44%4839173648.33%922180751.02%620136645.39%167594117197501445715
_Since Last GM Reset80303502913332355-2340171700411175182-740131802502157173-16780.48833257290410851161286261084387687334260888260316073108226.45%2976777.44%4839173648.33%922180751.02%620136645.39%167594117197501445715
_Vs Conference47201602612209203624119002111091081239702401100955540.5742093635720085116128615538438768733415295463749562006231.00%1844177.72%2839173648.33%922180751.02%620136645.39%167594117197501445715
_Vs Division1911600101917714107300000494279430010142357240.632911642550085116128660484387687334629225208396943234.04%1022377.45%1839173648.33%922180751.02%620136645.39%167594117197501445715

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8078W133257290426102608882603160710
All Games
GPWLOTWOTL SOWSOLGFGA
8030352913332355
Home Games
GPWLOTWOTL SOWSOLGFGA
4017170411175182
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013182502157173
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3108226.45%2976777.44%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
84387687334851161286
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
839173648.33%922180751.02%620136645.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167594117197501445715


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
28Americans6Admirals9WR1BoxScore
421Admirals3Americans4LXXBoxScore
633Americans7Admirals1LR1BoxScore
740Admirals5Senators8LBoxScore
954Admirals3Icehogs4LXR1BoxScore
1268Senators4Admirals5WBoxScore
1684Icehogs2Admirals5WR1BoxScore
19107Wranglers3Admirals8WBoxScore
21116Admirals2Checkers4LBoxScore
23122Admirals5Comets2WBoxScore
25133Admirals5Condors6LXBoxScore
27144Admirals2Senators4LBoxScore
29154Americans5Admirals3LR1BoxScore
32173Griffins3Admirals7WBoxScore
36190Marlies5Admirals4LXBoxScore
38201Admirals5Icehogs3WR1BoxScore
40213Admirals4Phantoms2WBoxScore
42223Phantoms7Admirals6LXXBoxScore
44228Admirals5Senators1WBoxScore
47246Admirals5Comets8LBoxScore
49253Griffins6Admirals8WBoxScore
53274Admirals4Rocket5LXBoxScore
54281Eagles6Admirals1LBoxScore
59302Icehogs4Admirals5WR1BoxScore
62319Admirals3Moose6LBoxScore
64329Penguins3Admirals2LXBoxScore
67348Icehogs2Admirals4WR1BoxScore
69361Admirals4Griffins3WXBoxScore
71373Admirals6Checkers4WBoxScore
72380Moose5Admirals3LBoxScore
77403Crunch4Admirals1LBoxScore
80418Admirals5Islander3WBoxScore
82428Bears1Admirals3WBoxScore
85446Reign6Admirals3LBoxScore
89467Admirals2Wranglers1WBoxScore
91476Silver Knights3Admirals4WBoxScore
94492Admirals1Little Stars2LBoxScore
96500Admirals7Americans3WR1BoxScore
97509Condors7Admirals2LBoxScore
100525Thunderbirds5Admirals4LXBoxScore
104545Admirals1Phantoms5LBoxScore
105555Wranglers5Admirals2LBoxScore
110576Checkers7Admirals5LBoxScore
112589Admirals6Barracuda7LBoxScore
115600Admirals4Eagles7LBoxScore
116608Senators4Admirals9WBoxScore
119627Moose6Admirals3LBoxScore
122643Admirals2Thunderbirds4LBoxScore
124653Canucks5Admirals3LBoxScore
126667Admirals3Reign2WXBoxScore
128678Islander7Admirals5LBoxScore
131692Admirals4Bears5LXXBoxScore
133706Rocket3Admirals2LBoxScore
135716Admirals3Wolfpack5LBoxScore
138732Admirals3Penguins4LXBoxScore
139738Senators3Admirals5WBoxScore
142758Comets2Admirals5WBoxScore
144772Admirals6Condors7LXBoxScore
145776Admirals2Canucks7LBoxScore
146785Admirals4Punishers7LBoxScore
147791Punishers4Admirals7WBoxScore
152812Admirals5Reign3WBoxScore
153818Barracuda5Admirals4LXBoxScore
156833Admirals8Americans1WR1BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
159844Admirals5Condors3WBoxScore
160850Little Stars2Admirals3WBoxScore
164870Marlies2Admirals4WBoxScore
166878Admirals5Rocket6LBoxScore
169893Barracuda3Admirals4WXXBoxScore
171906Admirals2Canucks4LBoxScore
172914Admirals3Crunch6LBoxScore
174923Wolfpack6Admirals9WBoxScore
176932Admirals4Icehogs7LR1BoxScore
179949Admirals1Silver Knights4LBoxScore
180955Admirals5Marlies4WBoxScore
181961Little Stars4Admirals3LBoxScore
185983Americans5Admirals3LR1BoxScore
1901004Wolfpack7Admirals5LBoxScore
1961025Checkers8Admirals6LBoxScore
1981033Admirals5Silver Knights2WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance72,99336,828
Attendance PCT91.24%92.07%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2746 - 91.52% 172,794$6,911,763$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,136,670$ 2,327,000$ 2,308,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,254$ 2,282,454$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 15,806$ 15,806$




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