Login

Admirals
GP: 73 | W: 27 | L: 37 | OTL: 9 | P: 63
GF: 207 | GA: 269 | PP%: 18.12% | PK%: 76.72%
GM : Marc-Étienne Brien | Morale : 45 | Team Overall : N/A
Next Games #1168 vs Silver Knights
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wranglers
31-38-5, 67pts
3
FINAL
2 Admirals
27-37-9, 63pts
Team Stats
W1StreakW1
14-20-2Home Record12-20-5
17-18-3Away Record15-17-4
4-6-0Last 10 Games3-7-0
2.85Goals Per Game2.84
3.31Goals Against Per Game3.68
20.96%Power Play Percentage18.12%
75.77%Penalty Kill Percentage76.72%
Admirals
27-37-9, 63pts
4
FINAL
3 Canucks
32-32-9, 73pts
Team Stats
W1StreakL1
12-20-5Home Record15-18-4
15-17-4Away Record17-14-5
3-7-0Last 10 Games6-4-0
2.84Goals Per Game2.89
3.68Goals Against Per Game3.21
18.12%Power Play Percentage17.69%
76.72%Penalty Kill Percentage78.26%
Admirals
27-37-9, 63pts
2023-03-24
Silver Knights
40-19-13, 93pts
Team Stats
W1StreakW5
12-20-5Home Record22-11-3
15-17-4Away Record18-8-10
3-7-0Last 10 Games8-1-1
2.84Goals Per Game3.33
3.68Goals Against Per Game2.74
18.12%Power Play Percentage21.17%
76.72%Penalty Kill Percentage86.78%
Admirals
27-37-9, 63pts
2023-03-26
Wolves
48-21-5, 101pts
Team Stats
W1StreakL1
12-20-5Home Record24-11-1
15-17-4Away Record24-10-4
3-7-0Last 10 Games5-2-3
2.84Goals Per Game3.55
3.68Goals Against Per Game2.80
18.12%Power Play Percentage25.17%
76.72%Penalty Kill Percentage80.26%
Condors
35-27-9, 79pts
2023-03-30
Admirals
27-37-9, 63pts
Team Stats
W1StreakW1
21-11-5Home Record12-20-5
14-16-4Away Record15-17-4
4-4-2Last 10 Games3-7-0
3.11Goals Per Game2.84
3.30Goals Against Per Game3.68
17.28%Power Play Percentage18.12%
79.86%Penalty Kill Percentage76.72%
Team Leaders
Anders BjorkGoals
Anders Bjork
18
Assists
Sebastien Aho
36
Points
Stefan Matteau
48
Plus/Minus
Tony Calderone
3
Yaroslav AskarovWins
Yaroslav Askarov
18
Yaroslav AskarovSave Percentage
Yaroslav Askarov
0.9

Team Stats
Goals For
207
2.84 GFG
Shots For
2249
30.81 Avg
Power Play Percentage
18.1%
50 GF
Offensive Zone Start
39.6%
Goals Against
269
3.68 GAA
Shots Against
2531
34.67 Avg
Penalty Kill Percentage
76.7%
61 GA
Defensive Zone Start
42.4%
Team Info

General ManagerMarc-Étienne Brien
CoachScott Arniel
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,712
Season Tickets300


Roster Info

Pro Team26
Farm Team18
Contract Limit44 / 50
Prospects43


Team History

This Season27-37-9 (63PTS)
History123-142-20 (0.432%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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
1Alex DostieX100.00543595625673766354636363527271542300251850,000$
2Brayden BurkeX100.00533891645491906461636361566968663900261800,000$
3Conner BleackleyX100.00584089637383866259626162537169563000272800,000$
4Francis BeauvillierX100.00675165637496716662646461487273482500291999,999$
5Garrett PilonX100.007153796472989265636463625267685933002421,089,000$
6Jan KovarX98.00836467667275716872676663628178403300331999,999$
7Mario KempeX98.00825180647180676472636465598779422500341900,000$
8Kole LindX100.00553692637399846361636159536769583900242800,000$
9Olivier ArchambaultX100.00493670646889716261656462597475463900301999,999$
10Maxime FortierX100.00523595635882716158616162536968661800251900,000$
11Stefan MatteauXX98.00816265638491856260626166538076654000292900,000$
12Tony CalderoneX100.00563596637380756058605963507470551800281900,000$
13Adam Ollas MatssonX100.005936886381798262306262654576714939002621,000,000$
14Dylan DeMeloX100.008045746776839067307365695378734119002912,000,000$
15Fredrik ClaessonX100.007848826777795871307268765379735016003021,250,000$
16Maxime LajoieX100.005338936774757164306564705769685229002511,000,000$
17Sebastien AhoX99.00543987646894906930716763527169503300272950,000$
18Oleg SosunovX100.00623680639973736430636267516768642900242800,000$
Scratches
1Anders BjorkX90.48533593647291626653676661567270483100261920,000$
2Dakota MermisX100.00543692647379706230616062467884421900291750,000$
3David SklenickaX100.00583889627683915930595962477068571900261999,999$
4Jalen SmereckX100.00704660637172726430646362527071482000261999,999$
5Kevin Ekman-LarssonX100.00694573637173736330616162516970462000281999,999$
6Zach PalmquistX100.00523693626889906130616062498476492400321999,999$
TEAM AVERAGE99.2963428364728478644764636453747252280
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
1Alex Lyon100.0078727278768284838278778084352200301700,000$
2Yaroslav Askarov (R)97.0088787776939190918889866368882400202975,000$
Scratches
TEAM AVERAGE98.508375757785878787858482727662230
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Arniel60667562888259CAN5932,500,000$


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
1Alexander NylanderPredatorsLW/RW64242953-242028171264772059.09%22159524.92210124720800092264243.81%77600000.6617000312
2Stefan MatteauAdmirals (NAS)C/LW73173148-225551981291664410710.24%20156921.51511163922600022112147.50%111800010.6103001321
3Sebastien AhoAdmirals (NAS)D6193645-23440857212134857.44%91156025.5841519632170000155120.00%000000.5822000020
4Maxime LajoieAdmirals (NAS)D7383341-31006410111344907.08%114153120.984812561850002172010.00%000000.5411000133
5Mario KempeAdmirals (NAS)RW73172239-18435187162173561289.83%18151320.737714432290000981149.68%108700000.5202010131
6Oleg SosunovAdmirals (NAS)D73132639-1772015873111226711.71%98148220.3171017641930000160000.00%000000.5300000012
7Anders BjorkAdmirals (NAS)LW68181735-18603085205601348.78%12133819.697714412170001461147.52%10100000.5215000232
8Brayden BurkeAdmirals (NAS)RW7392635-22401777143491006.29%6120716.55371032168000001146.39%9700000.5811000012
9Francis BeauvillierAdmirals (NAS)LW7391928-351513571150411046.00%4112615.42246241310003902042.00%10000000.5000010112
10Conner BleackleyAdmirals (NAS)C69131427-181203912013134809.92%13108315.7102213590000203142.98%127500110.5001000202
11Garrett PilonAdmirals (NAS)C61141024-6201063103100248014.00%681613.38123959000031046.31%103000000.5900110103
12Adam Ollas MatssonAdmirals (NAS)D7381422-104401305757214114.04%103149520.49112241160001201200.00%000000.2900000123
13Dylan DeMeloAdmirals (NAS)D4421820-14635135715214303.85%7176117.301231645000057010.00%000000.5300001001
14Zac RinaldoPredatorsLW/RW4111819-1757151094112541758.80%865115.90549491410002741155.56%3600000.5824012200
15Olivier ArchambaultAdmirals (NAS)LW7361016-810032576719508.96%45257.2000000000010045.98%22400000.6112000200
16Kole LindAdmirals (NAS)RW736915-320114254264911.11%84896.70000020001141046.38%30400100.6111000000
17Zach PalmquistAdmirals (NAS)D4611011-9006272210144.55%4466714.5001101000002000.00%000000.3300000000
18Jalen SmereckAdmirals (NAS)D41189-124608731255154.00%3660414.7600000000142000.00%000000.3000000000
19Alex DostieAdmirals (NAS)LW504480001285118347.84%84158.31000120000240029.63%2700000.3900000010
20Jan KovarAdmirals (NAS)C21178-2202325234124.35%421110.070112280000310054.69%32000000.7600000100
21Nolan FootePredatorsLW10538-155141843153111.63%119619.631011029000001048.28%2900000.8112001110
22Rasmus SandinPredatorsD6055-380141211380.00%514424.14011619000016000.00%000000.6900000000
23Fredrik ClaessonAdmirals (NAS)D10044-42003020137100.00%1921021.02022933000021000.00%000000.3800000000
24Maxime FortierAdmirals (NAS)RW213142002693233.33%1743.5400000000000033.33%300001.0800000000
25Tony CalderoneAdmirals (NAS)RW91343206493811.11%1596.660000000000100.00%300001.3300000000
26Kevin Ekman-LarssonAdmirals (NAS)D12202-6140121191422.22%1418015.0300000000019010.00%000000.2200000001
27David SklenickaAdmirals (NAS)D14011-100802030.00%3584.200000100004000.00%000000.3400000000
28Dakota MermisAdmirals (NAS)D10000000100000.00%130.310000000002000.00%000000.0000000000
Team Total or Average1315202368570-2595925016251614224967515668.98%7352157616.4150951455482329000221700221346.45%653000220.531131145212125
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
1Yaroslav AskarovAdmirals (NAS)48182330.9003.3627142115215260110.700104429260
2Alex LyonAdmirals (NAS)3291460.8873.9717076011310030010.727222944100
Team Total or Average80273790.8953.6044218126525290120.719327373360


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary 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 10Link
Adam Ollas MatssonAdmirals (NAS)D261996-07-30 15:32:00No216 Lbs6 ft5NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link
Alex DostieAdmirals (NAS)LW251997-04-13No174 Lbs5 ft1NoNoNo1Pro & Farm850,000$0$0$NoLink
Alex LyonAdmirals (NAS)G301992-12-09No203 Lbs6 ft1NoNoYes1Pro & Farm700,000$0$0$NoLink / NHL Link
Anders Bjork (Out of Payroll)Admirals (NAS)LW261996-08-05No190 Lbs6 ft0NoNoNo1Pro & Farm920,000$0$0$NoLink / NHL Link
Brayden BurkeAdmirals (NAS)RW261997-01-01No165 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoLink / NHL Link
Conner BleackleyAdmirals (NAS)C271996-02-07No192 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Link
Dakota MermisAdmirals (NAS)D291994-01-05No195 Lbs6 ft0NoNoYes1Pro & Farm750,000$0$0$NoLink
David SklenickaAdmirals (NAS)D261996-09-08No194 Lbs6 ft1NoNoNo1Pro & Farm999,999$0$0$NoLink
Dylan DeMeloAdmirals (NAS)D291993-05-01No195 Lbs6 ft1NoNoYes1Pro & Farm2,000,000$0$0$NoLink / NHL Link
Francis BeauvillierAdmirals (NAS)LW291993-10-22No181 Lbs6 ft0NoNoYes1Pro & Farm999,999$0$0$NoLink
Fredrik ClaessonAdmirals (NAS)D301992-11-24No196 Lbs6 ft1NoNoYes2Pro & Farm1,250,000$0$0$No1,250,000$Link / NHL Link
Garrett PilonAdmirals (NAS)C241998-04-13No188 Lbs6 ft0NoNoNo2Pro & Farm1,089,000$0$0$No1,089,000$Link
Jalen SmereckAdmirals (NAS)D261997-01-15No190 Lbs6 ft0NoNoNo1Pro & Farm999,999$0$0$NoLink
Jan KovarAdmirals (NAS)C331990-03-20No216 Lbs5 ft11NoNoYes1Pro & Farm999,999$0$0$NoLink
Kevin Ekman-LarssonAdmirals (NAS)D281995-01-26No180 Lbs5 ft11NoNoNo1Pro & Farm999,999$0$0$NoLink
Kole LindAdmirals (NAS)RW241998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$Link
Mario KempeAdmirals (NAS)RW341988-09-19No185 Lbs6 ft0NoNoYes1Pro & Farm900,000$0$0$NoLink
Maxime FortierAdmirals (NAS)RW251997-12-15No179 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLink / NHL Link
Maxime LajoieAdmirals (NAS)D251997-11-05No183 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$NoLink / NHL Link
Oleg SosunovAdmirals (NAS)D241998-04-13No236 Lbs6 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$Link
Olivier ArchambaultAdmirals (NAS)LW301993-02-16No177 Lbs6 ft0NoNoYes1Pro & Farm999,999$0$0$NoLink
Sebastien AhoAdmirals (NAS)D271996-02-17No177 Lbs5 ft11NoNoNo2Pro & Farm950,000$0$0$No950,000$Link
Stefan MatteauAdmirals (NAS)C/LW291994-02-23No220 Lbs6 ft2NoNoYes2Pro & Farm900,000$0$0$No900,000$Link
Tony CalderoneAdmirals (NAS)RW281994-10-15No195 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLink
Yaroslav AskarovAdmirals (NAS)G202002-06-16 15:06:31Yes176 Lbs6 ft3NoNoNo2Pro & Farm975,000$0$0$No975,000$Link / NHL Link
Zach PalmquistAdmirals (NAS)D321990-12-09No180 Lbs5 ft11NoNoYes1Pro & Farm999,999$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2627.38191 Lbs6 ft01.35972,461$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Stefan MatteauJan KovarMario Kempe42113
2Francis BeauvillierConner BleackleyBrayden Burke30122
3Olivier ArchambaultGarrett PilonAlex Dostie20122
4Maxime FortierKole LindTony Calderone8131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoFredrik Claesson40122
2Maxime LajoieAdam Ollas Matsson30122
3Oleg SosunovDylan DeMelo25122
4Sebastien AhoMaxime Lajoie5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mario KempeJan KovarConner Bleackley60014
2Francis BeauvillierStefan MatteauBrayden Burke40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoFredrik Claesson60023
2Oleg SosunovMaxime Lajoie40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jan KovarStefan Matteau60140
2Mario KempeFrancis Beauvillier40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoFredrik Claesson60140
2Oleg SosunovAdam Ollas Matsson40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Stefan Matteau60050Sebastien AhoFredrik Claesson60140
2Mario Kempe40050Oleg SosunovAdam Ollas Matsson40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jan KovarMario Kempe60113
2Stefan MatteauConner Bleackley40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoFredrik Claesson60122
2Oleg SosunovAdam Ollas Matsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Stefan MatteauJan KovarConner BleackleySebastien AhoFredrik Claesson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Stefan MatteauJan KovarConner BleackleySebastien AhoFredrik Claesson
Extra Forwards
Normal PowerPlayPenalty Kill
Jan Kovar, Brayden Burke, Francis BeauvillierJan Kovar, Brayden BurkeFrancis Beauvillier
Extra Defensemen
Normal PowerPlayPenalty Kill
Fredrik Claesson, Maxime Lajoie, Adam Ollas MatssonFredrik ClaessonMaxime Lajoie, Sebastien Aho
Penalty Shots
Jan Kovar, Mario Kempe, Olivier Archambault, Sebastien Aho, Conner Bleackley
Goalie
#1 : Alex Lyon, #2 : Yaroslav Askarov
Custom OT Lines Forwards
Jan Kovar, Conner Bleackley, Stefan Matteau, Mario Kempe, Alex Dostie, Garrett Pilon, Garrett Pilon, Olivier Archambault, Brayden Burke, Francis Beauvillier, Kole Lind
Custom OT Lines Defensemen
Sebastien Aho, Maxime Lajoie, Oleg Sosunov, Fredrik Claesson, Dylan DeMelo


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
1Americans2110000047-3110000003121010000016-520.500461000825465126074671575960551616428112.50%8450.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
2Barracuda311000011082110000005142010000157-230.5001018280082546512123746715759609223326911327.27%14192.86%01213256047.38%1255274445.74%565116748.41%169111621809544926456
3Bears11000000541110000005410000000000021.0005914008254651231746715759603668223266.67%40100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
4Bruins1010000025-31010000025-30000000000000.000235008254651222746715759602812819400.00%40100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
5Canucks2110000067-11010000024-21100000043120.50061016008254651282746715759605516143810330.00%7442.86%01213256047.38%1255274445.74%565116748.41%169111621809544926456
6Comets1010000005-5000000000001010000005-500.000000008254651228746715759603391023300.00%5180.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
7Condors11000000321000000000001100000032121.00035800825465123174671575960233413300.00%20100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
8Eagles514000001017-72020000024-231200000813-520.200101929008254651214874671575960190474712720315.00%20480.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
9Firebirds22000000752110000003211100000043141.0007132000825465127274671575960612883710330.00%40100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
10Griffins403001001018-820100100712-52020000036-310.125101727008254651211974671575960154533810117211.76%17664.71%01213256047.38%1255274445.74%565116748.41%169111621809544926456
11Gulls20200000614-81010000037-41010000037-400.0006111700825465124774671575960812214496116.67%7357.14%01213256047.38%1255274445.74%565116748.41%169111621809544926456
12Icehogs4200020012120210001005502100010077060.75012233500825465121157467157596015333517713323.08%16662.50%01213256047.38%1255274445.74%565116748.41%169111621809544926456
13Islanders1010000027-51010000027-50000000000000.0002460082546512467467157596055136174125.00%3233.33%01213256047.38%1255274445.74%565116748.41%169111621809544926456
14Lions311000011013-31000000134-12110000079-230.5001020300082546512977467157596012440405913215.38%14378.57%01213256047.38%1255274445.74%565116748.41%169111621809544926456
15Marlies11000000642000000000001100000064221.0006111700825465122974671575960345615300.00%30100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
16Monsters20001010752100000105411000100021141.0007121900825465126774671575960742121487228.57%80100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
17Moose41300000814-62020000047-32110000047-320.2508132100825465121137467157596013828558717211.76%22481.82%01213256047.38%1255274445.74%565116748.41%169111621809544926456
18Penguins320000101385210000109721100000041361.000132033008254651293746715759601084516778112.50%8275.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
19Phantoms1010000045-1000000000001010000045-100.000459008254651235746715759602914022200.00%000.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
20Reign21100000770110000004221010000035-220.500714211082546512757467157596063152498337.50%10100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
21Roadrunners200001106601000010023-11000001043130.7506101600825465126774671575960672012506116.67%60100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
22Rocket2010001089-12010001089-10000000000020.5008132110825465125974671575960731316418112.50%7357.14%01213256047.38%1255274445.74%565116748.41%169111621809544926456
23SKA1010000024-21010000024-20000000000000.0002350082546512217467157596039111019200.00%50100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
24Senators11000000624000000000001100000062421.000611170082546512317467157596032108244250.00%40100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
25Silver Knights1010000024-21010000024-20000000000000.000246008254651239746715759603611230400.00%000.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
26Stars523000001522-72110000045-1312000001117-640.400152843008254651215374671575960169532611121419.05%13376.92%01213256047.38%1255274445.74%565116748.41%169111621809544926456
27Thunderbirds21100000770211000007700000000000020.5007132000825465126274671575960682322409333.33%11463.64%01213256047.38%1255274445.74%565116748.41%169111621809544926456
28Wild50400100619-132010010037-430300000312-910.1006121800825465121407467157596015956321152414.17%16568.75%01213256047.38%1255274445.74%565116748.41%169111621809544926456
29Wolf Pack3010020059-41010000013-22000020046-220.3335914008254651282746715759601003319608337.50%70100.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
30Wolves302000101013-320200000610-41000001043120.333101727008254651290746715759609320257510220.00%10460.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456
31Wranglers312000008712020000047-31100000040420.333815230182546512727467157596010936326910110.00%16287.50%01213256047.38%1255274445.74%565116748.41%169111621809544926456
Total73213701752207269-623792000431103135-3236121701321104134-30630.4322073685752182546512224974671575960253173560016252765018.12%2626176.72%01213256047.38%1255274445.74%565116748.41%169111621809544926456
_Since Last GM Reset73213701752207269-623792000431103135-3236121701321104134-30630.4322073685752182546512224974671575960253173560016252765018.12%2626176.72%01213256047.38%1255274445.74%565116748.41%169111621809544926456
_Vs Conference48132700521126175-4923514004005680-2425813001217095-25360.3751262293551182546512148674671575960164346439410971903216.84%1714275.44%01213256047.38%1255274445.74%565116748.41%169111621809544926456
_Vs Division27619004106497-331329003002738-1114410001103759-22180.333641181820082546512798746715759609442602456071101715.45%1042675.00%01213256047.38%1255274445.74%565116748.41%169111621809544926456

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7363W120736857522492531735600162521
All Games
GPWLOTWOTL SOWSOLGFGA
7321371752207269
Home Games
GPWLOTWOTL SOWSOLGFGA
379200431103135
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3612171321104134
Last 10 Games
WLOTWOTL SOWSOL
270010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2765018.12%2626176.72%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7467157596082546512
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1213256047.38%1255274445.74%565116748.41%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
169111621809544926456


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
2 - 2022-10-1211Moose3Admirals2BLBoxScore
3 - 2022-10-1322Admirals5Stars7ALBoxScore
6 - 2022-10-1640Icehogs1Admirals2BWBoxScore
7 - 2022-10-1745Admirals1Eagles6ALBoxScore
10 - 2022-10-2073Rocket5Admirals3BLBoxScore
11 - 2022-10-2181Admirals1Wild4ALBoxScore
13 - 2022-10-2397Admirals5Lions2AWBoxScore
16 - 2022-10-26116Admirals0Moose4ALBoxScore
18 - 2022-10-28128Thunderbirds4Admirals2BLBoxScore
20 - 2022-10-30142Admirals5Stars4AWBoxScore
21 - 2022-10-31152Wolves6Admirals3BLBoxScore
24 - 2022-11-03173Admirals1Wolf Pack2ALXBoxScore
25 - 2022-11-04185Eagles2Admirals1BLBoxScore
28 - 2022-11-07205Admirals1Wild3ALBoxScore
30 - 2022-11-09219Wild3Admirals2BLXBoxScore
33 - 2022-11-12243Penguins5Admirals6BWXXBoxScore
35 - 2022-11-14253Admirals0Comets5ALBoxScore
39 - 2022-11-18279Silver Knights4Admirals2BLBoxScore
41 - 2022-11-20297Admirals2Lions7ALBoxScore
43 - 2022-11-22309Roadrunners3Admirals2BLXBoxScore
45 - 2022-11-24322Admirals1Stars6ALBoxScore
47 - 2022-11-26336Rocket4Admirals5BWXXBoxScore
49 - 2022-11-28353Admirals3Condors2AWBoxScore
53 - 2022-12-02373Lions4Admirals3BLXXBoxScore
56 - 2022-12-05393Admirals6Marlies4AWBoxScore
58 - 2022-12-07406Griffins5Admirals4BLXBoxScore
61 - 2022-12-10426Icehogs4Admirals3BLXBoxScore
63 - 2022-12-12442Admirals1Americans6ALBoxScore
65 - 2022-12-14460SKA4Admirals2BLBoxScore
67 - 2022-12-16474Admirals4Roadrunners3AWXXBoxScore
69 - 2022-12-18494Bears4Admirals5BWBoxScore
71 - 2022-12-20512Admirals6Senators2AWBoxScore
73 - 2022-12-22523Wild4Admirals1BLBoxScore
76 - 2022-12-25547Admirals4Firebirds3AWBoxScore
78 - 2022-12-27561Moose4Admirals2BLBoxScore
80 - 2022-12-29580Admirals2Monsters1AWXBoxScore
82 - 2022-12-31593Eagles2Admirals1BLBoxScore
84 - 2023-01-02610Admirals3Reign5ALBoxScore
86 - 2023-01-04623Bruins5Admirals2BLBoxScore
88 - 2023-01-06638Admirals3Barracuda4ALXXBoxScore
90 - 2023-01-08650Wolf Pack3Admirals1BLBoxScore
92 - 2023-01-10670Admirals3Gulls7ALBoxScore
93 - 2023-01-11679Admirals6Eagles4AWBoxScore
96 - 2023-01-14693Reign2Admirals4BWBoxScore
99 - 2023-01-17718Firebirds2Admirals3BWBoxScore
102 - 2023-01-20734Admirals4Moose3AWBoxScore
104 - 2023-01-22747Admirals3Wolf Pack4ALXBoxScore
105 - 2023-01-23757Islanders7Admirals2BLBoxScore
109 - 2023-01-27782Thunderbirds3Admirals5BWBoxScore
112 - 2023-01-30802Admirals2Barracuda3ALBoxScore
114 - 2023-02-01815Canucks4Admirals2BLBoxScore
117 - 2023-02-04838Penguins2Admirals3BWBoxScore
120 - 2023-02-07866Admirals1Eagles3ALBoxScore
122 - 2023-02-09872Stars1Admirals2BWBoxScore
126 - 2023-02-13901Barracuda1Admirals5BWBoxScore
128 - 2023-02-15909Admirals4Penguins1AWBoxScore
130 - 2023-02-17931Americans1Admirals3BWBoxScore
132 - 2023-02-19946Admirals4Wranglers0AWBoxScore
134 - 2023-02-21964Wolves4Admirals3BLBoxScore
136 - 2023-02-23978Admirals1Wild5ALBoxScore
138 - 2023-02-25996Gulls7Admirals3BLBoxScore
140 - 2023-02-271009Admirals3Icehogs4ALXBoxScore
143 - 2023-03-021024Admirals4Wolves3AWXXBoxScore
144 - 2023-03-031036Monsters4Admirals5BWXXBoxScore
148 - 2023-03-071061Stars4Admirals2BLBoxScore
150 - 2023-03-091079Admirals0Griffins2ALBoxScore
152 - 2023-03-111093Griffins7Admirals3BLBoxScore
154 - 2023-03-131108Admirals4Icehogs3AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2023-03-151124Wranglers4Admirals2BLBoxScore
157 - 2023-03-161130Admirals4Phantoms5ALBoxScore
161 - 2023-03-201152Admirals3Griffins4ALBoxScore
163 - 2023-03-221159Wranglers3Admirals2BLBoxScore
164 - 2023-03-231162Admirals4Canucks3AWBoxScore
165 - 2023-03-241168Admirals-Silver Knights-
167 - 2023-03-261181Admirals-Wolves-
171 - 2023-03-301204Condors-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5025
Attendance70,50329,842
Attendance PCT95.27%80.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
1 2712 - 90.40% 144,297$5,339,001$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,749,578$ 2,436,400$ 2,436,400$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
14,002$ 2,393,227$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
144,297$ 10 28,370$ 283,700$




Admirals 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
1Sebastien Aho43872218290-671724896777439.69%6701004422.9335447939500011320.00%00.5822
2Garrett Pilon441119156275-70170589110013368.91%92958421.732765921920001328446.65%00.57130
3Anders Bjork448100147247-939224461411658.58%72805717.99926358900067943.09%00.6126
4Francis Beauvillier453110134244-7823686894013048.44%58895919.782132532230002514247.07%00.5456
5Alexander Nylander31292129221-1045827270311288.16%102714722.912226481710001316650.77%40.62119

Admirals Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alex Stalock306120140380.9053.291727848894699990440.73992
2Yaroslav Askarov62232950.8993.3634966119619480210.71414
3Brian Elliott36181330.9043.0420700010510960010.93315
4Alex Lyon68131860.9053.2629666016116910010.72722
5Adam Reideborn30111420.9192.85164100789640000.5717

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
Regular Season
202076243603643213251-38381813003221181108386230332195141-46712133896021274815110250282186579148265177051116482364719.92%2234778.92%01345274948.93%1370278849.14%618122550.45%180612431821564981486
202076243603643213251-38381813003221181108386230332195141-46712133896021274815110250282186579148265177051116482364719.92%2234778.92%01345274948.93%1370278849.14%618122550.45%180612431821564981486
202176233304871230235-538131202551117108938102102320113127-14772304016311084647115238376177781058257073853816772886823.61%2275177.53%01320269049.07%1343288746.52%569118048.22%174711871891577984489
202273213701752207269-623792000431103135-3236121701321104134-30632073685752182546512224974671575960253173560016252765018.12%2626176.72%01213256047.38%1255274445.74%565116748.41%169111621809544926456
Total Regular Season30192142011272098631006-14315158580215126456463-71503484091283407543-136282863154724105531428023847963631493222315121410403301321606598103621220.46%93520677.97%052231074848.60%53381120747.63%2370479749.41%705148367343225138731918

Admirals 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