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Admirals
GP: 80 | W: 39 | L: 33 | OTL: 8 | P: 86
GF: 354 | GA: 342 | PP%: 24.13% | PK%: 83.50%
GM : Dany Potvin | Morale : 35 | Team Overall : 64

Game Center
Griffins
48-27-5, 101pts
3
FINAL
5 Admirals
39-33-8, 86pts
Team Stats
L2StreakL1
26-13-1Home Record21-16-3
22-14-4Home Record18-17-5
5-5-0Last 10 Games5-3-2
4.38Goals Per Game4.43
3.76Goals Against Per Game4.28
22.26%Power Play Percentage24.13%
81.35%Penalty Kill Percentage83.50%
Admirals
39-33-8, 86pts
3
FINAL
4 Barracuda
38-37-5, 81pts
Team Stats
L1StreakW1
21-16-3Home Record18-19-3
18-17-5Home Record20-18-2
5-3-2Last 10 Games5-5-0
4.43Goals Per Game3.91
4.28Goals Against Per Game4.34
24.13%Power Play Percentage18.21%
83.50%Penalty Kill Percentage74.83%
Team Leaders
Goals
Mark McNeill
57
Assists
Mathieu Joseph
62
Points
Mathieu Joseph
110
Plus/Minus
Mark McNeill
16
Wins
Felix Sanstrom
33
Save Percentage
Felix Sanstrom
0.878

Team Stats
Goals For
354
4.43 GFG
Shots For
2554
31.93 Avg
Power Play Percentage
24.1%
69 GF
Offensive Zone Start
34.3%
Goals Against
342
4.28 GAA
Shots Against
2675
33.44 Avg
Penalty Kill Percentage
83.5%%
50 GA
Defensive Zone Start
37.3%
Team Info

General ManagerDany Potvin
CoachWayne Gretzky
DivisionJohn-Ahearne
ConferenceRobert-Lebel
CaptainMark McNeill
Assistant #1
Assistant #2Josh Norris


Arena Info

Capacity3,000
Attendance2,784
Season Tickets300


Roster Info

Pro Team38
Farm Team19
Contract Limit57 / 250
Prospects0


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
1Mathieu Joseph (R)X100.0079387579797380756675807671604948617402211,000,000$
2Mark McNeill (C)X100.007338787578767377787374757564553653730261900,000$
3Antti Suomela (R)X100.007839747984698067717875627461534523720251700,000$
4Hunter ShinkarukX100.006939807572757672697384597760553654720251950,000$
5Lucas WallmarkX100.006532807778767671837767716655494041710242900,000$
6Kasper BjorkqvistX100.006839777666777378808971526655494140710251900,000$
7Nolan VeseyX100.007937727670587777647367596147503654680241800,000$
8Riley BarberX100.007334817166686469687568667650493424680251650,000$
9Josh Norris (R) (A)X100.006530797071767271665885517451445845670201750,000$
10Pavol Regenda (R)X100.006947766363686070676466566347446115640201500,000$
11Milos Kelemen (R)X100.006023655481636768706070436344446455600201500,000$
12Ruslan Iskhakov (R)X100.005740616666625362536161435642426818570191500,000$
13Olli Juolevi (R)X100.007132778468596783447659735653465344710212700,000$
14Christian DjoosX100.007332837069626669506852785851533055690251650,000$
15Reilly Walsh (R)X100.006433837268686763477757835451445455690201750,000$
16Carl DahlstromX100.007118826860627261456863795649513732670241600,000$
17Ian Mitchell (R)X100.005534797764586277468063724748446110670201750,000$
18Sean Durzi (R)X100.005940817554636481327460634345445940650211500,000$
19Josh Wesley (R)X100.005839846368686958446957724646483838650231600,000$
20Tobias Bjornfot (R)X100.004730697549576768378051634040407549600182500,000$
Scratches
1Gerald MayhewX100.005842796766698375736476597362573619680272750,000$
2Ryan OlsenX100.005433797571667368636568487047472622640251600,000$
3Drew O'Connor (R)X100.007640686777567868637165565446455321640212999,999$
4Carsen Twarynski (R)X100.004636866361796252597362685544464019620221500,000$
5Troy BourkeX100.005041677158586667657068425347472619610251600,000$
6Filip Chlapik (R)X100.006336705667566062735868535444444319600221600,000$
7Bokondji Imama (R)X100.007853674676506861596063426145453420580231750,000$
8Mark Kastelic (R)X100.007138595677496861555364525742425419580202500,000$
9Joni Ikonen (R)X100.004721755743504173586150455842424920540201550,000$
10Jack Malone (R)X100.004636594953555542585857475342425820510192500,000$
11Patrick Moynihan (R)X100.004933594752444650494647386040407319470182500,000$
12Grant HuttonX100.008150556663635550397056593954553819630241750,000$
13Sergei Zborovskiy (R)X100.00543179676862635430553874514646459610221500,000$
14Libor Hajek (R)X100.006443746263576059365445635143434220600211500,000$
15Henry Thrun (R)X100.006635645251635555335953594440407519560182500,000$
TEAM AVERAGE100.00643674676663666657686360594947483164
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
1Felix Sanstrom100.00697671727371707168687351475574690221700,000$
2Tristan Jarry100.00757676716978736459776961503875690241700,000$
Scratches
1Sean Maguire100.00677161626367636565657154572720640261500,000$
TEAM AVERAGE100.0070746968687269676470715551405667
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wayne Gretzky70628291526855Can6611,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mathieu JosephAdmirals (Nas)RW694862110-37551401073109917915.48%45153022.181620365320902261955346.07%1916923101.4401010678
2Mark McNeillAdmirals (Nas)RW775746103164351201062788217520.50%42139818.1699182518513481548252.22%905820131.47010011056
3Lucas WallmarkAdmirals (Nas)C744753100133201281582395712819.67%42144219.49618242117811292125054.50%16793327011.3911000674
4Hunter ShinkarukAdmirals (Nas)LW80324577-19240117842418015513.28%39154019.261015253322011231202045.67%1276125011.0001000414
5Olli JuoleviAdmirals (Nas)D71124961-22608611114843588.11%99157622.214812181980113198210%03862000.7700000214
6Nolan VeseyAdmirals (Nas)LW73243357236097581645810714.63%1298613.51661214910112461060.00%452315001.1600000132
7Josh NorrisAdmirals (Nas)C66193756-152759295118376716.10%17121818.4671522151672024763147.45%14902813000.9200100321
8Ian MitchellAdmirals (Nas)D71639457300609311347335.31%79150921.272911141810112173110%02442000.6000000000
9Antti SuomelaAdmirals (Nas)C421823414260726397285718.56%1966115.762247811011311248.91%5053112001.2400000232
10Reilly WalshAdmirals (Nas)D8063440-172008517010943515.50%134200925.123710202530000276100%02280000.4000000103
11Riley BarberAdmirals (Nas)RW552119406405550106305719.81%1760210.950110133037953125.00%242011011.3300000161
12Kasper BjorkqvistAdmirals (Nas)RW74202040-520084541515210513.25%2085211.52101131000042052.63%38473000.9400000213
13Tobias BjornfotAdmirals (Nas)D6832427248029693821277.89%57112516.561342135011075100%0932000.4800000001
14Ryan OlsenAdmirals (Nas)C39101121-280212754183318.52%63819.77000000000222042.06%126113001.1000000100
15Pavol RegendaAdmirals (Nas)LW66912214440835465192713.85%1289713.60112497000062054.55%44814000.4700000102
16Carl DahlstromAdmirals (Nas)D6202020514037713510180%4981813.210001520110116000%0618000.4900000000
17Gerald MayhewAdmirals (Nas)RW3710919-1060232780244412.50%1037910.25000224000051052.94%17179001.0000000011
18Christian DjoosAdmirals (Nas)D77114158804377281663.57%5595512.410111460000148000%0343000.3100000000
19Milos KelemenAdmirals (Nas)LW80459-24005624419249.76%147689.60000115000060045.83%24414000.2300000000
20Sean DurziAdmirals (Nas)D74066-123522382511150%3379210.7101123100008000%0415000.1500010000
21Drew O'ConnorAdmirals (Nas)LW23336-56027162571012.00%824910.86000217000190050.00%443000.4800000000
22Ruslan IskhakovAdmirals (Nas)C59235-102952928257108.00%75038.53000000000100141.78%21307000.2000000000
23Josh WesleyAdmirals (Nas)D61055440112516460%194507.3800004000021000%0210000.2200000000
24Filip ChlapikAdmirals (Nas)C12134-140101463216.67%612810.7000000000000056.52%6904000.6200000000
25Mark KastelicAdmirals (Nas)C23112-620022816136.25%31848.0100000000010049.44%8902000.2200000000
26Sergei ZborovskiyAdmirals (Nas)D27011-8405163120%222047.580000000002000%005000.1000000000
27Henry ThrunAdmirals (Nas)D39011260393020%31784.580000000000000%004000.1100000000
28Grant HuttonAdmirals (Nas)D4000-500450000%0348.730000000000000%00000000000000
29Troy BourkeAdmirals (Nas)LW1000000000000%011.020000000000000%00000000000000
30Carsen TwarynskiAdmirals (Nas)LW1000000000000%022.980000000000000%00000000000000
31Patrick MoynihanAdmirals (Nas)RW5000-360201000%3438.65000000000000100.00%10100000000000
Team Total or Average1590354578932-4163325156316572535807140113.96%8722342914.7468116184236223991221462021401249.98%4776522517260.8014121403742
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)62332160.8784.043563402401966979710.50025819232
2Tristan JarryAdmirals (Nas)2561220.8654.521248009469732402002258110
3Sean MaguireAdmirals (Nas)10000.55634.29700494000003000
Team Total or Average88393380.8744.21481940338267213077328080342


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
Antti SuomelaAdmirals (Nas)C251994-01-01FINYes180 Lbs6 ft0NoNoFree Agent2024-11-07NoNo12025-02-15FalseFalsePro & Farm700,000$0$0$No---------------------------
Bokondji ImamaAdmirals (Nas)LW231996-01-01CANYes221 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Carl DahlstromAdmirals (Nas)D241995-01-01SWENo185 Lbs6 ft4NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Carsen TwarynskiAdmirals (Nas)LW221997-01-01CANYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Christian DjoosAdmirals (Nas)D251994-01-01SWENo158 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm650,000$0$0$No---------------------------
Drew O'ConnorAdmirals (Nas)LW211998-01-01USAYes190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm999,999$0$0$No1,000,000$--------999,999$--------No--------
Felix SanstromAdmirals (Nas)G221997-01-01SWENo191 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm700,000$0$0$No---------------------------
Filip ChlapikAdmirals (Nas)C221997-01-01CZEYes194 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Gerald MayhewAdmirals (Nas)RW271992-01-01USANo161 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Grant HuttonAdmirals (Nas)D241995-01-01USANo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Henry ThrunAdmirals (Nas)D182001-01-01CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Hunter ShinkarukAdmirals (Nas)LW251994-01-01CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------
Ian MitchellAdmirals (Nas)D201999-01-01CANYes173 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$0$0$No---------------------------
Jack MaloneAdmirals (Nas)RW192000-01-01USAYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Joni IkonenAdmirals (Nas)C201999-01-01FINYes171 Lbs5 ft10NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm550,000$0$0$No---------------------------
Josh NorrisAdmirals (Nas)C201999-01-01USAYes199 Lbs6 ft1NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$0$0$No---------------------------
Josh WesleyAdmirals (Nas)D231996-01-01USAYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Kasper BjorkqvistAdmirals (Nas)RW251994-01-01FINNo194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Libor HajekAdmirals (Nas)D211998-01-01CZEYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Lucas WallmarkAdmirals (Nas)C241995-01-01SWENo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Mark KastelicAdmirals (Nas)C201999-01-01USAYes227 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Mark McNeillAdmirals (Nas)RW261993-01-01CANNo212 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm900,000$0$0$No---------------------------
Mathieu JosephAdmirals (Nas)RW221997-01-01CANYes190 Lbs6 ft1NoNoTrade2024-08-03NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Milos KelemenAdmirals (Nas)LW201999-01-01SVKYes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Nolan VeseyAdmirals (Nas)LW241995-01-01USANo210 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm800,000$0$0$No---------------------------
Olli JuoleviAdmirals (Nas)D211998-01-01FINYes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Patrick MoynihanAdmirals (Nas)RW182001-01-01CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Pavol RegendaAdmirals (Nas)LW201999-01-01SVKYes212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Reilly WalshAdmirals (Nas)D201999-01-01CANYes185 Lbs6 ft0NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$0$0$No---------------------------
Riley BarberAdmirals (Nas)RW251994-01-01USANo194 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm650,000$0$0$No---------------------------
Ruslan IskhakovAdmirals (Nas)C192000-01-01RUSYes165 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ryan OlsenAdmirals (Nas)C251994-01-01CANNo187 Lbs6 ft1NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Sean DurziAdmirals (Nas)D211998-01-01CANYes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Sean MaguireAdmirals (Nas)G261993-01-01CANNo193 Lbs6 ft1NoNoFree AgentNoNo12025-01-18FalseFalsePro & Farm500,000$0$0$No---------------------------
Sergei ZborovskiyAdmirals (Nas)D221997-01-01RUSYes194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Tobias BjornfotAdmirals (Nas)D182001-01-01SWEYes201 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Tristan JarryAdmirals (Nas)G241995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm700,000$0$0$No---------------------------
Troy BourkeAdmirals (Nas)LW251994-01-01CANNo156 Lbs5 ft10NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3822.26191 Lbs6 ft11.24660,526$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nolan VeseyJosh NorrisMathieu Joseph40122
2Hunter ShinkarukLucas WallmarkMark McNeill30122
3Pavol RegendaAntti SuomelaKasper Bjorkqvist20122
4Milos KelemenRuslan IskhakovRiley Barber10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell40122
2Olli JuoleviTobias Bjornfot30122
3Christian DjoosSean Durzi20122
4Carl DahlstromJosh Wesley10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nolan VeseyJosh NorrisMathieu Joseph60113
2Hunter ShinkarukLucas WallmarkMark McNeill40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60122
2Olli JuoleviTobias Bjornfot40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkMathieu Joseph60122
2Mark McNeillRiley Barber40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60131
2Olli JuoleviChristian Djoos40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mathieu Joseph60131Reilly WalshIan Mitchell60131
2Mark McNeill40131Olli JuoleviCarl Dahlstrom40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkMathieu Joseph60122
2Mark McNeillHunter Shinkaruk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reilly WalshIan Mitchell60122
2Carl DahlstromTobias Bjornfot40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Hunter ShinkarukJosh NorrisMathieu JosephReilly WalshIan Mitchell
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Hunter ShinkarukLucas WallmarkMathieu JosephReilly WalshOlli Juolevi
Extra Forwards
Normal PowerPlayPenalty Kill
Antti Suomela, Riley Barber, Pavol RegendaAntti Suomela, Pavol RegendaRiley Barber
Extra Defensemen
Normal PowerPlayPenalty Kill
Olli Juolevi, Christian Djoos, Tobias BjornfotSean DurziOlli Juolevi, Josh Wesley
Penalty Shots
Mathieu Joseph, Mark McNeill, Hunter Shinkaruk, Lucas Wallmark, Kasper Bjorkqvist
Goalie
#1 : Felix Sanstrom, #2 : Tristan Jarry
Custom OT Lines Forwards
Mathieu Joseph, Mark McNeill, Hunter Shinkaruk, Lucas Wallmark, Josh Norris, Antti Suomela, Riley Barber, Kasper Bjorkqvist, Nolan Vesey, Milos Kelemen
Custom OT Lines Defensemen
Olli Juolevi, Reilly Walsh, Ian Mitchell, Tobias Bjornfot, 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
1Americans6320010027243320001001495312000001315-270.58327477400106123121418579490784016196736212732928.13%31390.32%1834166550.09%939181451.76%693138150.18%168293917107491437713
2Barracuda43100000221572200000014862110000087160.7502238600010612312141377949078401612138328613538.46%16287.50%2834166550.09%939181451.76%693138150.18%168293917107491437713
3Bears20200000810-21010000045-11010000045-100.00081119001061231214787949078401661171040500.00%5180.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
4Canucks20200000613-71010000046-21010000027-500.00069150010612312145579490784016713722387228.57%11463.64%0834166550.09%939181451.76%693138150.18%168293917107491437713
5Checkers32100000171431100000083521100000911-240.66717294600106123121490794907840161042330506233.33%15286.67%1834166550.09%939181451.76%693138150.18%168293917107491437713
6Comets512011001620-421100000810-230101100810-250.5001627430010612312141607949078401617853428315213.33%21290.48%1834166550.09%939181451.76%693138150.18%168293917107491437713
7Condors431000002214811000000532321000001711660.7502237590010612312141397949078401611941267716425.00%13192.31%0834166550.09%939181451.76%693138150.18%168293917107491437713
8Crunch31100100151502100010011921010000046-230.500152540101061231214101794907840161093222559333.33%110100.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
9Eagles202000001012-21010000078-11010000034-100.0001018280010612312147679490784016591122711218.18%10100.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
10Firebirds312000001513220200000811-31100000072520.33315233800106123121489794907840161153916595240.00%9188.89%1834166550.09%939181451.76%693138150.18%168293917107491437713
11Griffins3200000113112220000008531000000156-150.83313193200106123121498794907840161022622605120.00%11281.82%0834166550.09%939181451.76%693138150.18%168293917107491437713
12Gulls31101000181441010000046-221001000148640.667182947001061231214977949078401610332205111436.36%10460.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
13Icehogs622011002226-432100000139430101100917-870.58322365800106123121419179490784016197555613827518.52%28485.71%0834166550.09%939181451.76%693138150.18%168293917107491437713
14Islander220000001293110000007521100000054141.0001222340010612312146679490784016582822315120.00%11190.91%1834166550.09%939181451.76%693138150.18%168293917107491437713
15Little Stars22000000826110000004131100000041341.00081422001061231214637949078401654232236200.00%11190.91%1834166550.09%939181451.76%693138150.18%168293917107491437713
16Marlies3210000011561010000012-122000000103740.667111627001061231214887949078401611638187313215.38%90100.00%1834166550.09%939181451.76%693138150.18%168293917107491437713
17Moose32100000853220000008261010000003-340.6678132100106123121477794907840169027186712325.00%9188.89%0834166550.09%939181451.76%693138150.18%168293917107491437713
18Penguins2110000068-2110000003121010000037-420.50061117001061231214647949078401660172726700.00%7185.71%0834166550.09%939181451.76%693138150.18%168293917107491437713
19Phantoms311001001420-620100100714-71100000076130.500142438001061231214967949078401611137286713430.77%9366.67%0834166550.09%939181451.76%693138150.18%168293917107491437713
20Punishers210010001073100010006511100000042241.0001018280010612312146979490784016661712337342.86%6266.67%0834166550.09%939181451.76%693138150.18%168293917107491437713
21Rockets31100100171611100000096320100100810-230.500173148001061231214107794907840161093416619222.22%8187.50%0834166550.09%939181451.76%693138150.18%168293917107491437713
22Senators624000002631-5312000001415-1312000001216-440.33326426810106123121418279490784016215817012119315.79%30970.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
23Thunderbirds21100000121111010000035-21100000096320.5001220320010612312145179490784016613210377457.14%5180.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
24Wolfpack21100000761110000005321010000023-120.500710170010612312147579490784016652463712216.67%30100.00%0834166550.09%939181451.76%693138150.18%168293917107491437713
25Wranglers403001001221-930300000816-81000010045-110.1251221331010612312141207949078401613540268518422.22%13469.23%0834166550.09%939181451.76%693138150.18%168293917107491437713
Total8035330470135434212402016013001831671640151703401171175-4860.538354590944301061231214255479490784016267587563715652866924.13%3035083.50%9834166550.09%939181451.76%693138150.18%168293917107491437713
_Since Last GM Reset8035330470135434212402016013001831671640151703401171175-4860.538354590944301061231214255479490784016267587563715652866924.13%3035083.50%9834166550.09%939181451.76%693138150.18%168293917107491437713
_Vs Conference4822180250121220210241390020010595102499023011071070540.563212353565201061231214151779490784016161452239410131884624.47%1873481.82%4834166550.09%939181451.76%693138150.18%168293917107491437713
_Vs Division1878012007581-69530010041338925011003448-14180.5007512520010106123121455879490784016608209188386781721.79%891682.02%1834166550.09%939181451.76%693138150.18%168293917107491437713

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8086L135459094425542675875637156530
All Games
GPWLOTWOTL SOWSOLGFGA
8035334701354342
Home Games
GPWLOTWOTL SOWSOLGFGA
4020161300183167
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4015173401171175
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2866924.13%3035083.50%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
794907840161061231214
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
834166550.09%939181451.76%693138150.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
168293917107491437713


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
13Admirals3Senators7LBoxScore
312Admirals3Americans4LR1BoxScore
518Admirals9Condors2WBoxScore
625Senators6Admirals4LBoxScore
944Admirals1Icehogs9LR1BoxScore
1052Icehogs3Admirals2LBoxScore
1572Admirals2Icehogs3LXR1BoxScore
1777Americans4Admirals3LXR1BoxScore
2099Wranglers6Admirals3LBoxScore
21107Admirals3Comets2WXBoxScore
24124Admirals6Senators4WBoxScore
26130Phantoms6Admirals5LXBoxScore
29147Admirals5Barracuda3WBoxScore
30155Senators8Admirals7LBoxScore
33174Admirals6Checkers4WBoxScore
35180Barracuda5Admirals9WBoxScore
40206Icehogs3Admirals5WR1BoxScore
43221Thunderbirds5Admirals3LBoxScore
47238Admirals6Gulls5WXBoxScore
49249Gulls6Admirals4LBoxScore
53268Wolfpack3Admirals5WBoxScore
55282Admirals4Crunch6LBoxScore
58293Admirals5Griffins6LXXBoxScore
60302Penguins1Admirals3WBoxScore
64323Canucks6Admirals4LBoxScore
66337Admirals5Islander4WBoxScore
68348Admirals3Senators5LBoxScore
70355Punishers5Admirals6WXBoxScore
72371Admirals4Punishers2WBoxScore
73380Admirals6Marlies1WBoxScore
75386Wranglers5Admirals2LBoxScore
78400Admirals4Condors2WBoxScore
80410Admirals9Thunderbirds6WBoxScore
81415Phantoms8Admirals2LBoxScore
85437Griffins2Admirals3WBoxScore
89456Admirals4Marlies2WBoxScore
90463Comets2Admirals5WBoxScore
94482Admirals4Little Stars1WBoxScore
95490Eagles8Admirals7LBoxScore
99506Admirals7Phantoms6WBoxScore
101515Crunch2Admirals5WBoxScore
105535Barracuda3Admirals5WBoxScore
108552Admirals3Penguins7LBoxScore
110560Checkers3Admirals8WBoxScore
111572Admirals3Eagles4LBoxScore
115588Senators1Admirals3WBoxScore
117597Admirals2Wolfpack3LBoxScore
119608Admirals6Icehogs5WXR1BoxScore
121618Bears5Admirals4LBoxScore
124635Admirals4Condors7LBoxScore
126642Admirals3Comets5LBoxScore
127649Moose1Admirals3WBoxScore
130665Admirals2Canucks7LBoxScore
131675Little Stars1Admirals4WBoxScore
134693Islander5Admirals7WBoxScore
136704Admirals3Americans5LR1BoxScore
137712Admirals2Comets3LXBoxScore
140726Condors3Admirals5WBoxScore
143746Admirals4Rockets5LBoxScore
144753Firebirds6Admirals5LBoxScore
147767Admirals0Moose3LBoxScore
148775Comets8Admirals3LBoxScore
153798Moose1Admirals5WBoxScore
155810Admirals8Gulls3WBoxScore
157819Admirals7Firebirds2WBoxScore
159830Rockets6Admirals9WBoxScore
162849Firebirds5Admirals3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
165861Admirals4Bears5LBoxScore
167873Admirals4Rockets5LXBoxScore
169882Wranglers5Admirals3LBoxScore
172896Admirals4Wranglers5LXBoxScore
174908Marlies2Admirals1LBoxScore
178931Americans2Admirals4WR1BoxScore
181950Icehogs3Admirals6WBoxScore
183956Admirals3Checkers7LBoxScore
184963Admirals7Americans6WR1BoxScore
188983Americans3Admirals7WBoxScore
1921004Crunch7Admirals6LXBoxScore
1961025Griffins3Admirals5WBoxScore
1991034Admirals3Barracuda4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,12237,237
Attendance PCT92.65%93.09%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2784 - 92.80% 175,298$7,011,918$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,430,318$ 2,510,000$ 2,510,000$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,426$ 2,410,181$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 17,376$ 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