Please rotate your device to landscape mode for a better experience.
Login

Islander
GP: 59 | W: 29 | L: 29 | OTL: 1 | P: 59
GF: 269 | GA: 288 | PP%: 24.39% | PK%: 76.07%
GM : Maxime Alain | Morale : 45 | Team Overall : 62
Next Games #766 vs Barracuda

Game Center
Griffins
26-26-4, 56pts
3
6 Islander
29-29-1, 59pts
Team Stats
W1StreakL1
14-13-2Home Record14-15-0
12-13-2Home Record15-14-1
3-6-1Last 10 Games4-6-0
3.75Goals Per Game4.56
3.93Goals Against Per Game4.88
16.08%Power Play Percentage24.39%
79.62%Penalty Kill Percentage76.07%
Senators
37-17-4, 78pts
11
5 Islander
29-29-1, 59pts
Team Stats
W1StreakL1
20-9-0Home Record14-15-0
17-8-4Home Record15-14-1
5-4-1Last 10 Games4-6-0
4.84Goals Per Game4.56
4.00Goals Against Per Game4.88
26.69%Power Play Percentage24.39%
76.21%Penalty Kill Percentage76.07%
Barracuda
28-28-3, 59pts
Day 122
Islander
29-29-1, 59pts
Team Stats
W4StreakL1
14-14-1Home Record14-15-0
14-14-2Away Record15-14-1
8-2-0Last 10 Games4-6-0
4.36Goals Per Game4.56
4.80Goals Against Per Game4.56
27.00%Power Play Percentage24.39%
78.30%Penalty Kill Percentage76.07%
Islander
29-29-1, 59pts
Day 124
Condors
35-16-4, 74pts
Team Stats
L1StreakW1
14-15-0Home Record19-7-3
15-14-1Away Record16-9-1
4-6-0Last 10 Games8-1-1
4.56Goals Per Game4.47
4.88Goals Against Per Game4.47
24.39%Power Play Percentage18.00%
76.07%Penalty Kill Percentage76.41%
Islander
29-29-1, 59pts
Day 125
Wranglers
24-31-3, 51pts
Team Stats
L1StreakL1
14-15-0Home Record14-14-1
15-14-1Away Record10-17-2
4-6-0Last 10 Games7-1-2
4.56Goals Per Game3.67
4.88Goals Against Per Game3.67
24.39%Power Play Percentage25.13%
76.07%Penalty Kill Percentage76.50%
Team Leaders
Goals
Austin Watson
39
Assists
Ben Thomson
64
Points
Ben Thomson
99
Plus/Minus
Ronnie Attard
7
Wins
Chris Driedger
23
Save Percentage
Chris Driedger
0.861

Team Stats
Goals For
269
4.56 GFG
Shots For
1982
33.59 Avg
Power Play Percentage
24.4%
50 GF
Offensive Zone Start
35.8%
Goals Against
288
4.88 GAA
Shots Against
1972
33.42 Avg
Penalty Kill Percentage
76.1%%
56 GA
Defensive Zone Start
35.1%
Team Info

General ManagerMaxime Alain
CoachDominique Ducharme
DivisionFritz-Kraatz
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,769
Season Tickets300


Roster Info

Pro Team28
Farm Team20
Contract Limit48 / 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
1Austin WatsonX100.007728797170768077706977666872652660720281900,000$
2Ben ThomsonX100.007245737785687376687772696669603060720271900,000$
3Rhett Gardner (R)X100.008243767676658271707581666360503660720241900,000$
4Filip Zadina (R)X100.005837807561737478767875465948476060680213900,000$
5Connor Dewar (R)X100.005635827665735778666272556746475860660213750,000$
6Noah Cates (R)X100.008137687074548170576469676247455260660212500,000$
7Alex Steeves (R)X100.008039697371536970526862536343444660630212500,000$
8Jaden Lindo (R)X100.006936696268596368576368586447483442620241500,000$
9Jake Neighbours (R)X100.007448646373517163496465555740408246610182500,000$
10Steven Spinner (R)X100.007063656176647658616365425246463146610241500,000$
11Philip Tomasino (R)X100.005031676848656059796971435441417427600191500,000$
12Yegor Chinakhov (R)X100.005731666257566054575869376842437130560192500,000$
13Jake Walman (R)X100.006634887773747272487160795361503860720242950,000$
14Jakub Galvas (R)X100.007024797776747064456655826253465060700212600,000$
15Alexander Yelesin (R)X100.007833777568726363497357726062533360690242600,000$
16Casey Staum (R)X100.006635796768596359486653675648473960640222500,000$
17Ronnie Attard (R)X100.007140795258706866356370575145455660620211500,000$
18Ville Heinola (R)X100.005730726648496073277152554441416060580191500,000$
Scratches
1Kirill MarchenkoX99.396330797772746765605984576644435846670204600,000$
2Luke Tuch (R)X100.006735676275448067446857565040407827590182500,000$
3Marcus Davidsson (R)X100.006643736066575153646764506445484432590221500,000$
4Pavel Koltygin (R)X100.004936666653626350555268395044435119550211500,000$
5Danil Gushchin (R)X100.004926686451515160576150515940406320540182500,000$
6Wyatt Kaiser (R)X100.005531706744415469326343613140407321560182500,000$
7Samuel Knazko (R)X100.004319654147435844234746374240406920440182500,000$
TEAM AVERAGE99.98653673676561676554656457574846524663
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
1Chris Driedger98.00766575616480687356786251543173670261750,000$
2Connor Ingram100.00585746515357575649474344443657520231250,000$
Scratches
1Frederik Dichow100.00534558585452426149386341416421500191500,000$
TEAM AVERAGE99.3362566057576356635154564546445056
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dominique Ducharme69606975386555Can463800,000$


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
1Ben ThomsonIslander (NyI)LW59356499576097722406712214.58%36126121.371019293417621351123141.44%1116012001.5723000336
2Austin WatsonIslander (NyI)RW593953926400114752057412319.02%36127421.60721283017911241285146.95%1643432021.4403000830
3Rhett GardnerIslander (NyI)C5939529136801111262087513618.75%42131322.271311243317601191694348.80%20803630221.3923000558
4Filip ZadinaIslander (NyI)LW59303363-1318078571925510615.63%1898116.648311211351014533054.76%425915001.2800000452
5Connor DewarIslander (NyI)C59223052-151207479138538815.94%1597216.4727961260002603143.55%6362114001.0700000314
6Jake WalmanIslander (NyI)D5963339-2660701198948566.74%106164727.924913131930116210100%02747000.4701000100
7Alex SteevesIslander (NyI)C59112233-12300714812635758.73%1367311.41000000000321040.67%3271612000.9801000011
8Jakub GalvasIslander (NyI)D5952631-29380931318842275.68%87159026.96369111900003191010%02455000.3900000110
9Noah CatesIslander (NyI)LW59151631-73208250116495612.93%2967711.49000060000102132.14%282719000.9100000122
10Ross ColtonIslandersRW33111526-7100513958143618.97%1354716.591456750001301152.38%211210000.9500000033
11Kirill MarchenkoIslander (NyI)RW46121426260432495324912.63%1656912.38000436000181344.44%272213000.9100000100
12Alexander YelesinIslander (NyI)D5951823018074936722337.46%60116819.8113481250001135000%01938000.3900000002
13Jaden LindoIslander (NyI)RW50912210100553167273213.43%1352410.49000028000001133.33%2175000.8000000011
14Casey StaumIslander (NyI)D5921820024050705225143.85%57114919.4912321200110137000%0930000.3500000000
15Jake NeighboursIslander (NyI)LW5411617-260483471205015.49%104818.92000030003540041.67%121013000.7100000100
16Philip TomasinoIslander (NyI)C458513-1406134673117.39%42355.2300011000011062.03%7991001.1100000010
17Ronnie AttardIslander (NyI)D59391278030373614138.33%4068411.6000002000011000%0418000.3500000000
18Steven SpinnerIslander (NyI)RW46088-14802810173180%53216.9800002000000044.44%917000.5000000000
19Ville HeinolaIslander (NyI)D59077630017221911100%3168111.5600001000019000%0023000.2100000000
20Yegor ChinakhovIslander (NyI)RW33044-1206510250%01223.72000030000120040.00%1551000.6500000000
21Marcus DavidssonIslander (NyI)C38044120109219110%32035.3600001000010055.74%6151000.3900000000
22Slater KoekkoekIslandersD2033500355230%45025.260111801103000%010001.1900000000
23Wyatt KaiserIslander (NyI)D27011-160142200%4953.540000000001000%002000.2100000000
24Luke TuchIslander (NyI)LW31000-1401457140%2722.34000020000130033.33%62100000000000
25Danil GushchinIslander (NyI)LW24000020000000%0180.77000000000160033.33%61000000000000
26Samuel KnazkoIslander (NyI)D16000000110100%1493.120000000000000%00000000000000
27Pavel KoltyginIslander (NyI)LW25000000000000%040.1800000000020033.33%30000000000000
Team Total or Average1237263453716-944600122711591975690109813.32%6451737414.05508613617016014610391420261346.96%3648411399240.82411000282629
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
1Chris DriedgerIslander (NyI)52232110.8614.412695201981426682401.00084712201
2Connor IngramIslander (NyI)184600.8177.2455500673662012000737000
3Kaapo KahkonenIslanders11000.9412.00600023420000010000
4Frederik DichowIslander (NyI)51200.8564.962540021146931000410000
Team Total or Average76292910.8544.8535652028819729967085959201


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
Alex SteevesIslander (NyI)C211999-01-01USAYes185 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Alexander YelesinIslander (NyI)D241996-01-01RUSYes195 Lbs6 ft0NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm600,000$177,515$0$0$No600,000$--------600,000$--------No--------Link
Austin WatsonIslander (NyI)RW281992-01-01USANo193 Lbs6 ft4NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Ben ThomsonIslander (NyI)LW271993-01-01CANNo205 Lbs6 ft3NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Casey StaumIslander (NyI)D221998-01-01USAYes181 Lbs6 ft0NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Chris DriedgerIslander (NyI)G261994-01-01CANNo187 Lbs6 ft2NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm750,000$221,893$0$0$No---------------------------Link
Connor DewarIslander (NyI)C211999-01-01CANYes183 Lbs5 ft10NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm750,000$221,893$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Connor IngramIslander (NyI)G231997-01-01CANNo196 Lbs6 ft2NoNoFree AgentNoNo12025-12-03FalseFalseFarm Only250,000$73,964$0$0$No---------------------------Link
Danil GushchinIslander (NyI)LW182002-01-01RUSYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Filip ZadinaIslander (NyI)LW211999-01-01CZEYes197 Lbs6 ft0NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm900,000$266,272$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Frederik DichowIslander (NyI)G192001-01-01SWENo192 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Jaden LindoIslander (NyI)RW241996-01-01CANYes215 Lbs6 ft2NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Jake NeighboursIslander (NyI)LW182002-01-01CANYes195 Lbs5 ft11NoNoTrade2025-11-04NoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Jake WalmanIslander (NyI)D241996-01-01RUSYes180 Lbs6 ft0NoNoTrade2024-09-24NoNo22024-08-21FalseFalsePro & Farm950,000$281,065$0$0$No950,000$--------950,000$--------No--------Link
Jakub GalvasIslander (NyI)D211999-01-01CZEYes161 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm600,000$177,515$0$0$No600,000$--------600,000$--------No--------Link
Kirill MarchenkoIslander (NyI)RW202000-01-01RUSNo187 Lbs6 ft3NoNoFree Agent2025-03-17NoNo42025-09-30FalseFalsePro & Farm600,000$177,515$0$0$No700,000$800,000$900,000$------700,000$800,000$900,000$------NoNoNo------Link
Luke TuchIslander (NyI)LW182002-01-01USAYes203 Lbs6 ft2NoNoTrade2025-11-04NoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Marcus DavidssonIslander (NyI)C221998-01-01SWEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Noah CatesIslander (NyI)LW211999-01-01USAYes179 Lbs6 ft1NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Pavel KoltyginIslander (NyI)LW211999-01-01RUSYes176 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Philip TomasinoIslander (NyI)C192001-01-01CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Rhett GardnerIslander (NyI)C241996-01-01CANYes225 Lbs6 ft3NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Ronnie AttardIslander (NyI)D211999-01-01USAYes207 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Samuel KnazkoIslander (NyI)D182002-01-01SVKYes181 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Steven SpinnerIslander (NyI)RW241996-01-01USAYes202 Lbs6 ft0NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Ville HeinolaIslander (NyI)D192001-01-01FINYes181 Lbs6 ft0NoNoTrade2025-03-17NoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Wyatt KaiserIslander (NyI)D182002-01-01USAYes173 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Yegor ChinakhovIslander (NyI)RW192001-01-01RUSYes178 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2821.46189 Lbs6 ft11.68592,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben ThomsonRhett GardnerAustin Watson40122
2Filip ZadinaConnor DewarJaden Lindo30122
3Noah CatesAlex SteevesSteven Spinner20122
4Jake NeighboursPhilip TomasinoYegor Chinakhov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake WalmanJakub Galvas40122
2Alexander YelesinCasey Staum30122
3Ronnie AttardVille Heinola20122
4Jake WalmanJakub Galvas10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben ThomsonRhett GardnerAustin Watson60122
2Filip ZadinaConnor DewarJaden Lindo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Rhett GardnerBen Thomson60122
2Connor DewarFilip Zadina40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Rhett Gardner60122Jake WalmanJakub Galvas60122
2Connor Dewar40122Alexander YelesinCasey Staum40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Rhett GardnerBen Thomson60122
2Connor DewarFilip Zadina40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake WalmanJakub Galvas60122
2Alexander YelesinCasey Staum40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ben ThomsonRhett GardnerAustin WatsonJake WalmanJakub Galvas
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ben ThomsonRhett GardnerAustin WatsonJake WalmanJakub Galvas
Extra Forwards
Normal PowerPlayPenalty Kill
Noah Cates, Connor Dewar, Alex SteevesNoah Cates, Connor DewarNoah Cates
Extra Defensemen
Normal PowerPlayPenalty Kill
Casey Staum, Ronnie Attard, Ville HeinolaCasey StaumCasey Staum, Ronnie Attard
Penalty Shots
Austin Watson, Ben Thomson, Rhett Gardner, Filip Zadina, Noah Cates
Goalie
#1 : Chris Driedger, #2 : Connor Ingram
Custom OT Lines Forwards
Austin Watson, Ben Thomson, Rhett Gardner, Filip Zadina, Noah Cates, Connor Dewar, Alex Steeves, Jaden Lindo, Steven Spinner, Jake Neighbours
Custom OT Lines Defensemen
Jake Walman, Jakub Galvas, Alexander Yelesin, Casey Staum, Ronnie Attard


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
1Admirals303000001316-31010000045-120200000911-200.00013213400798497101066606806252610635327610330.00%16568.75%0623131147.52%602128446.88%504106447.37%122868112775451064526
2Americans5410000029171243100000231581100000062480.800295281007984971017366068062526171513610518316.67%18572.22%2623131147.52%602128446.88%504106447.37%122868112775451064526
3Bears20200000610-41010000025-31010000045-100.0006121800798497106266068062526741920574250.00%10190.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
4Canucks302001001020-101010000035-220100100715-810.16710182800798497109666068062526912624759222.22%12283.33%0623131147.52%602128446.88%504106447.37%122868112775451064526
5Checkers1010000001-1000000000001010000001-100.000000007984971035660680625262511628500.00%30100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
6Comets11000000431110000004310000000000021.00046100079849710366606806252636186202150.00%30100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
7Condors202000001115-4202000001115-40000000000000.00011182900798497106966068062526821616377457.14%8362.50%0623131147.52%602128446.88%504106447.37%122868112775451064526
8Crunch1010000028-6000000000001010000028-600.0002350079849710326606806252634132152150.00%10100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
9Eagles10001000981100010009810000000000021.0009162500798497104366068062526301212165120.00%6516.67%0623131147.52%602128446.88%504106447.37%122868112775451064526
10Firebirds21001000853110000004221000100043141.00081220007984971056660680625265121205311218.18%10190.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
11Griffins312000001214-21100000063320200000611-520.3331219310079849710106660680625268726246712216.67%12191.67%0623131147.52%602128446.88%504106447.37%122868112775451064526
12Gulls22000000936110000005231100000041341.00091524007984971077660680625266437442500.00%20100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
13Icehogs1010000027-5000000000001010000027-500.000246007984971022660680625263164175120.00%20100.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
14Little Stars6320001027198312000001413132000010136780.667274673007984971020666068062526201773811427829.63%19194.74%0623131147.52%602128446.88%504106447.37%122868112775451064526
15Marlies21100000111101010000057-21100000064220.50011162700798497105766068062526732118455120.00%10280.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
16Moose330000002313102200000016881100000075261.00023386100798497101106606806252610136185916743.75%90100.00%1623131147.52%602128446.88%504106447.37%122868112775451064526
17Penguins413000001725-81010000046-2312000001319-620.25017294600798497101466606806252613244387913215.38%19573.68%0623131147.52%602128446.88%504106447.37%122868112775451064526
18Punishers201000101115-410100000510-51000001065120.50011172800798497107366068062526821718445240.00%9455.56%0623131147.52%602128446.88%504106447.37%122868112775451064526
19Roadrunners3010200017170201010001213-11000100054140.66717304700798497101066606806252610226206112216.67%10550.00%0623131147.52%602128446.88%504106447.37%122868112775451064526
20Rockets2100100014104110000007431000100076141.00014233700798497107566068062526652318365240.00%9455.56%0623131147.52%602128446.88%504106447.37%122868112775451064526
21Senators523000002230-820200000716-9321000001514140.40022416300798497101586606806252617259487915320.00%24770.83%1623131147.52%602128446.88%504106447.37%122868112775451064526
22Thunderbirds30200010614-81010000015-42010001059-420.333691500798497107866068062526932922728112.50%11463.64%0623131147.52%602128446.88%504106447.37%122868112775451064526
23Wolfpack2010100067-1100010003211010000035-220.500610160079849710606606806252669222038400.00%11190.91%0623131147.52%602128446.88%504106447.37%122868112775451064526
Total59202906130269288-1929111503000145147-23091403130124141-17590.5002694557240079849710198266068062526197264546412352055024.39%2345676.07%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Since Last GM Reset59202906130269288-1929111503000145147-23091403130124141-17590.5002694557240079849710198266068062526197264546412352055024.39%2345676.07%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Vs Conference38122002130177193-16206130100098110-121867011307983-4350.461177306483007984971012596606806252613063972967961363827.94%1483775.00%4623131147.52%602128446.88%504106447.37%122868112775451064526
_Vs Division169600010786612945000004444075100010342212200.62578139217007984971053766068062526544187122298601423.33%611378.69%3623131147.52%602128446.88%504106447.37%122868112775451064526

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5959L126945572419821972645464123500
All Games
GPWLOTWOTL SOWSOLGFGA
5920296130269288
Home Games
GPWLOTWOTL SOWSOLGFGA
2911153000145147
Visitor Games
GPWLOTWOTL SOWSOLGFGA
309143130124141
Last 10 Games
WLOTWOTL SOWSOL
162010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2055024.39%2345676.07%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6606806252679849710
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
623131147.52%602128446.88%504106447.37%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
122868112775451064526


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
12Islander6Americans2WBox score
318Islander6Penguins2WBox score
424Americans2Islander4WBox score
534Islander4Little Stars1WBox score
748Senators5Islander2LBox score
961Islander6Little Stars3WBox score
1174Americans5Islander4LBox score
1276Islander7Senators5WBox score
16102Little Stars5Islander3LBox score
18117Little Stars2Islander6WBox score
20129Islander3Griffins7LBox score
22137Islander0Thunderbirds5LBox score
24152Wolfpack2Islander3WXBox score
26165Islander4Senators3WBox score
28176Islander6Punishers5WXXBox score
29182Roadrunners8Islander6LBox score
32197Islander4Canucks5LXBox score
35208Moose3Islander9WBox score
38229Canucks5Islander3LBox score
40246Admirals5Islander4LBox score
43258Islander4Gulls1WBox score
45273Islander4Senators6LBox score
47283Penguins6Islander4LBox score
49299Islander7Rockets6WXBox score
51309Americans5Islander8WBox score
54328Thunderbirds5Islander1LBox score
56344Islander0Checkers1LBox score
57352Islander5Roadrunners4WXBox score
59362Eagles8Islander9WXBox score
61380Americans3Islander7WBox score
64393Islander2Crunch8LBox score
65405Comets3Islander4WBox score
68423Islander3Little Stars2WXXBox score
69432Little Stars6Islander5LBox score
72450Marlies7Islander5LBox score
74463Islander6Marlies4WBox score
76475Islander2Icehogs7LBox score
78483Condors8Islander6LBox score
80502Rockets4Islander7WBox score
81508Islander4Bears5LBox score
84526Islander3Griffins4LBox score
85534Moose5Islander7WBox score
87546Islander5Admirals6LBox score
89558Condors7Islander5LBox score
91569Islander4Admirals5LBox score
93584Gulls2Islander5WBox score
95595Islander7Moose5WBox score
97607Islander3Wolfpack5LBox score
99618Firebirds2Islander4WBox score
101636Bears5Islander2LBox score
102642Islander3Penguins7LBox score
104660Islander5Thunderbirds4WXXBox score
105665Islander4Penguins10LBox score
107676Punishers10Islander5LBox score
110695Roadrunners5Islander6WXBox score
112707Islander4Firebirds3WXBox score
115724Islander3Canucks10LBox score
116728Griffins3Islander6WBox score
119750Senators11Islander5LBox score
122766Barracuda-Islander-
124782Islander-Condors-
125789Islander-Wranglers-
127801Checkers-Islander-
129809Islander-Comets-
131824Senators-Islander-
132831Islander-Little Stars-
134843Islander-Wranglers-
136855Crunch-Islander-
Trade Deadline --- Trades can’t be done after this day is simulated!
138868Islander-Eagles-
140881Eagles-Islander-
143902Checkers-Islander-
144904Islander-Barracuda-
147920Islander-Americans-
148925Islander-Punishers-
149936Bears-Islander-
153960Wranglers-Islander-
155974Islander-Americans-
157987Wolfpack-Islander-
1631012Icehogs-Islander-
1661030Icehogs-Islander-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance53,24527,059
Attendance PCT91.80%93.31%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2769 - 92.30% 174,137$5,049,987$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,766,441$ 1,660,000$ 1,660,000$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,822$ 1,197,770$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,915,512$ 50 14,556$ 727,800$




Islander 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

Islander Goalies Stat Leaders (Regular Season)

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

Islander 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

Islander 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

Islander Goalies Stat Leaders (Play-Off)

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