Login

Islanders
GP: 82 | W: 48 | L: 23 | OTL: 11 | P: 107
GF: 355 | GA: 283 | PP%: 28.40% | PK%: 71.00%
GM : Trevor Robb | Morale : 64 | Team Overall : 61
Next Games #1294 vs IceHogs
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Thunderbirds
59-19-6, 124pts
3
FINAL
8 Islanders
48-23-11, 107pts
Team Stats
L1StreakW3
34-4-3Home Record27-10-5
25-15-3Home Record21-13-6
8-2-0Last 10 Games6-2-2
5.36Goals Per Game4.33
3.55Goals Against Per Game3.45
26.64%Power Play Percentage28.40%
74.71%Penalty Kill Percentage71.00%
Islanders
48-23-11, 107pts
6
FINAL
3 Crunch
39-35-9, 87pts
Team Stats
W3StreakL2
27-10-5Home Record22-18-2
21-13-6Home Record17-17-7
6-2-2Last 10 Games3-6-1
4.33Goals Per Game2.92
3.45Goals Against Per Game3.34
28.40%Power Play Percentage29.65%
71.00%Penalty Kill Percentage72.77%
Islanders
48-23-11, 107pts
Day 104
IceHogs
45-33-6, 96pts
Team Stats
W3StreakW2
27-10-5Home Record23-17-1
21-13-6Away Record22-16-5
6-2-2Last 10 Games5-1-4
4.33Goals Per Game3.95
3.45Goals Against Per Game3.95
28.40%Power Play Percentage25.11%
71.00%Penalty Kill Percentage69.40%
Reign
40-32-11, 91pts
Day 105
Islanders
48-23-11, 107pts
Team Stats
OTL1StreakW3
21-17-4Home Record27-10-5
19-15-7Away Record21-13-6
4-3-3Last 10 Games6-2-2
2.92Goals Per Game4.33
3.40Goals Against Per Game4.33
30.97%Power Play Percentage28.40%
73.16%Penalty Kill Percentage71.00%
Islanders
48-23-11, 107pts
Day 106
Bruins
37-38-8, 82pts
Team Stats
W3StreakW5
27-10-5Home Record20-19-3
21-13-6Away Record17-19-5
6-2-2Last 10 Games6-4-0
4.33Goals Per Game2.49
3.45Goals Against Per Game2.49
28.40%Power Play Percentage24.35%
71.00%Penalty Kill Percentage72.77%
Team Leaders
Andy AndreoffGoals
Andy Andreoff
54
Andy AndreoffAssists
Andy Andreoff
63
Andy AndreoffPoints
Andy Andreoff
117
Sheldon DriesPlus/Minus
Sheldon Dries
43
Cory SchneiderWins
Cory Schneider
43
Cory SchneiderSave Percentage
Cory Schneider
0.868

Team Stats
Goals For
355
4.33 GFG
Shots For
2617
31.91 Avg
Power Play Percentage
28.4%
69 GF
Offensive Zone Start
37.9%
Goals Against
283
3.45 GAA
Shots Against
2035
24.82 Avg
Penalty Kill Percentage
71.0%%
78 GA
Defensive Zone Start
33.9%
Team Info

General ManagerTrevor Robb
CoachCharlie Huddy
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,681
Season Tickets1,500


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 100
Prospects62


Team History

This Season48-23-11 (107PTS)
History197-108-38 (0.574%)
Playoff Appearances3
Playoff Record (W-L)9-15
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
1Andy AndreoffXX99.0075747270748185748164767067676767886903231,030,000$
2Tyler MotteXX100.0085449780686377643971698525686968886902932,600,000$
3Sheldon DriesX100.0079748674655982707964756725616166856602921,301,000$
4Riley BarberX99.0077738066737578705066726665484865866503012,455,000$
5Simon Ryfors (R)XXX100.007365876466838867806268626247476485640261980,000$
6Alex Limoges (R)XX100.0080749558747679648062636659474763846302631,173,000$
7Zac DalpeX100.0076449670725282576864666425636363846303411,050,000$
8Walker Duehr (R)X100.0084469561785681573061755525494967836102631,212,000$
9Jacob Lucchini (R)XXX100.007944996666618867264857692548486282610281972,000$
10Cole BardreauX100.0070668563667074577351576355565659825903011,109,000$
11Kyle RauXXX100.0069618968616466597554606157535459835903111,455,500$
12Simon Holmstrom (R)X100.005841996572598457255561662550506152590223997,000$
13Nathan BeaulieuX100.0074977480796660612553508825727159817003131,129,000$
14Anton StralmanX100.007667997665626652254139723787925253650371980,000$
15Nick Cicek (R)X100.008487716580656958256048792547475935650232838,000$
16Brady Lyle (R)X100.0076747464766973612556526546474755806202431,072,000$
17Cole Clayton (R)X100.007676756678586247253640613946464985570242837,000$
18Austin StrandX100.0076777763776267452535396138494948825702721,243,000$
Scratches
1Darren HelmXXX100.008044898068535956665457756384845977640371981,000$
2Marc McLaughlin (R)X100.0076748071745859577153576354444460205802421,075,000$
3Josh MelnickXX100.0073659166656770597455586155444461205802811,080,000$
4Bryce Kindopp (R)X100.007771926471758346504146614444445520550243911,000$
5Max VeronneauX100.0078719567714443525053456343454554205402811,000,000$
6Blake McLaughlin (R)X100.007064856364535644503844574244445020500243925,000$
TEAM AVERAGE99.92766687687164725851545767435555596661
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
1Cory Schneider100.00545063805864556462563072715394620381954,000$
2Keith Kinkaid100.00575265766062526260573062615669600341951,000$
Scratches
1Devin Cooley (R)100.00564759836158516056563044445655570261941,000$
TEAM AVERAGE100.0056506280606153625956305959557360
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Charlie Huddy58596846454654CAN5911,000,000$


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
1Andy AndreoffIslanders (NYI)C/LW8254631172719310516312727910319019.35%31159119.401218303417002251328360.83%10394921131.4725849745
2Tyler MotteIslanders (NYI)LW/RW804362105171151251132907319514.83%42154619.3315193445161437131794239.55%1347622021.3636001876
3Riley BarberIslanders (NYI)RW82435093211781001501001945314822.16%35163119.901312253318610131035140.32%1244923101.1411866436
4Sheldon DriesIslanders (NYI)C824342854384401551282717015815.87%24135016.47711182515530371045357.93%8515515011.2603035951
5Simon RyforsIslanders (NYI)C/LW/RW823429633461251511172416214614.11%17154418.8434716139000086259.75%3234118020.8203032551
6Darren HelmIslanders (NYI)C/LW/RW7719365539510487142539013.38%16116015.08581315810000552148.08%1043419010.9534010243
7Zac DalpeIslanders (NYI)C82173148212012381177521039.60%16100412.2500000000004048.81%3364421010.9600000224
8Nathan BeaulieuIslanders (NYI)D7663743-339123514313513656424.41%94181523.8931013111411121157110%04453000.4700161219004
9Alex LimogesIslanders (NYI)C/LW821822401613510983130469213.85%23104612.7700002000011256.67%302517010.7600010132
10Brady LyleIslanders (NYI)D8283240342117513111711048547.27%87196623.98167121790111161100%02447100.4100447022
11Kyle RauIslanders (NYI)C/LW/RW801211231280875083285614.46%97028.7800000000003061.54%13136010.6500000131
12Walker DuehrIslanders (NYI)RW8261521172078437434578.11%117809.5200001100001009.52%212110000.5400000001
13Anton StralmanIslanders (NYI)D781192032372560886225291.61%46132517.0001151000000117000%1927000.3000122000
14Nick CicekIslanders (NYI)D56216182118575115816725282.99%45127122.7113491130000103000%02039000.2800573100
15Simon HolmstromIslanders (NYI)RW60610162255324333203318.18%1270411.75022274000000023.53%17511000.4500010004
16Jacob LucchiniIslanders (NYI)C/LW/RW8235800037323316249.09%63964.84000080000160016.13%3142000.4000000000
17Cole ClaytonIslanders (NYI)D76077291306083612417200%46122816.170111730001103000%0518000.1100507000
18Austin StrandIslanders (NYI)D8207730553581602818170%30111513.60000012000048000%0815000.1300043000
19Josh MelnickIslanders (NYI)C/RW8134-1006611339.09%1739.1800000000000153.33%3010001.0900000000
20Cole BardreauIslanders (NYI)C7612320042780412.50%61471.9500001012361200056.67%21012000.4100000000
Team Total or Average14873174998163771575795193715792393802148913.25%5972240615.076095155208162210919371418401655.33%32645283863120.73922474864403840
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
1Cory SchneiderIslanders (NYI)77431890.8683.2342960323117469741240.52619757022
2Keith KinkaidIslanders (NYI)154520.8553.905692037256130010.6005747000
3Devin CooleyIslanders (NYI)41000.7863.799500628110000028000
Team Total or Average964823110.8653.3149622327420301115125248282022


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 Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10Link
Alex LimogesIslanders (NYI)C/LW261997-09-16Yes201 Lbs6 ft1NoNoNoNo3Pro & Farm1,173,000$122,400$1,173,000$122,400$0$0$No1,173,000$1,173,000$Link
Andy AndreoffIslanders (NYI)C/LW321991-05-17No203 Lbs6 ft1NoNoNoNo3Pro & Farm1,030,000$107,478$1,030,000$107,478$0$0$No1,030,000$1,030,000$Link / NHL Link
Anton StralmanIslanders (NYI)D371986-07-31No186 Lbs5 ft11NoNoNoNo1Pro & Farm980,000$102,261$980,000$102,261$0$0$NoLink / NHL Link
Austin StrandIslanders (NYI)D271997-02-16No208 Lbs6 ft3NoNoNoNo2Pro & Farm1,243,000$129,704$1,243,000$129,704$0$0$No1,243,000$Link / NHL Link
Blake McLaughlinIslanders (NYI)LW242000-02-14Yes173 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$96,522$925,000$96,522$0$0$No925,000$925,000$
Brady LyleIslanders (NYI)D241999-06-06Yes203 Lbs6 ft1NoNoNoNo3Pro & Farm1,072,000$111,861$1,072,000$111,861$0$0$No1,072,000$1,072,000$Link
Bryce KindoppIslanders (NYI)RW241999-06-14Yes191 Lbs6 ft1NoNoNoNo3Pro & Farm911,000$95,061$911,000$95,061$0$0$No911,000$911,000$Link
Cole BardreauIslanders (NYI)C301993-07-22No185 Lbs5 ft10NoNoNoNo1Pro & Farm1,109,000$115,722$1,109,000$115,722$0$0$NoLink / NHL Link
Cole ClaytonIslanders (NYI)D242000-02-29Yes209 Lbs6 ft2NoNoNoNo2Pro & Farm837,000$87,339$837,000$87,339$0$0$No837,000$Link
Cory SchneiderIslanders (NYI)G381986-03-17No200 Lbs6 ft3NoNoNoNo1Pro & Farm954,000$99,548$954,000$99,548$0$0$NoLink / NHL Link
Darren HelmIslanders (NYI)C/LW/RW371987-01-21No192 Lbs6 ft0NoNoNoNo1Pro & Farm981,000$102,365$981,000$102,365$0$0$NoLink / NHL Link
Devin CooleyIslanders (NYI)G261997-05-24Yes190 Lbs6 ft5NoNoNoNo1Pro & Farm941,000$98,191$941,000$98,191$0$0$NoLink
Jacob LucchiniIslanders (NYI)C/LW/RW281995-09-05Yes183 Lbs5 ft11NoNoNoNo1Pro & Farm972,000$101,426$972,000$101,426$0$0$NoLink
Josh MelnickIslanders (NYI)C/RW281995-07-10No181 Lbs5 ft10NoNoNoNo1Pro & Farm1,080,000$112,696$1,080,000$112,696$0$0$NoLink / NHL Link
Keith KinkaidIslanders (NYI)G341989-07-03No186 Lbs6 ft3NoNoNoNo1Pro & Farm951,000$99,235$951,000$99,235$0$0$NoLink / NHL Link
Kyle RauIslanders (NYI)C/LW/RW311992-10-24No176 Lbs5 ft8NoNoNoNo1Pro & Farm1,455,500$151,878$1,455,500$151,878$0$0$NoLink / NHL Link
Marc McLaughlinIslanders (NYI)C241999-07-26Yes205 Lbs6 ft0NoNoNoNo2Pro & Farm1,075,000$112,174$1,075,000$112,174$0$0$No1,075,000$Link
Max VeronneauIslanders (NYI)RW281995-12-12No193 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$104,348$750,000$78,261$0$0$NoLink
Nathan BeaulieuIslanders (NYI)D311992-12-05No205 Lbs6 ft2NoNoNoNo3Pro & Farm1,129,000$117,809$1,129,000$117,809$0$0$No1,129,000$1,129,000$Link / NHL Link
Nick CicekIslanders (NYI)D232000-05-29Yes201 Lbs6 ft3NoNoNoNo2Pro & Farm838,000$87,443$838,000$87,443$0$0$No838,000$Link
Riley BarberIslanders (NYI)RW301994-02-07No203 Lbs6 ft0NoNoNoNo1Pro & Farm2,455,000$256,174$2,455,000$256,174$0$0$NoLink / NHL Link
Sheldon DriesIslanders (NYI)C291994-04-23No180 Lbs5 ft9NoNoNoNo2Pro & Farm1,301,000$135,757$1,301,000$135,757$0$0$No1,301,000$Link / NHL Link
Simon HolmstromIslanders (NYI)RW222001-05-24Yes193 Lbs6 ft0NoNoNoNo3Pro & Farm997,000$104,035$997,000$104,035$0$0$No997,000$997,000$Link
Simon RyforsIslanders (NYI)C/LW/RW261997-08-16Yes181 Lbs5 ft10NoNoNoNo1Pro & Farm980,000$102,261$980,000$102,261$0$0$NoLink
Tyler MotteIslanders (NYI)LW/RW291995-03-10No192 Lbs5 ft10NoNoNoNo3Pro & Farm2,600,000$271,304$2,600,000$271,304$0$0$No2,600,000$2,600,000$Link / NHL Link
Walker DuehrIslanders (NYI)RW261997-11-23Yes210 Lbs6 ft2NoNoNoNo3Pro & Farm1,212,000$126,470$1,212,000$126,470$0$0$No1,212,000$1,212,000$Link
Zac DalpeIslanders (NYI)C341989-11-01No194 Lbs6 ft2NoNoNoNo1Pro & Farm1,050,000$109,565$1,050,000$109,565$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2728.59193 Lbs6 ft01.851,157,463$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler MotteAndy AndreoffRiley Barber40122
2Simon RyforsSheldon DriesSimon Holmstrom30122
3Andy AndreoffSimon RyforsWalker Duehr20122
4Alex LimogesZac DalpeKyle Rau10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nathan BeaulieuBrady Lyle40122
2Anton StralmanNick Cicek30122
3Cole ClaytonAustin Strand20122
4Nick CicekBrady Lyle10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole BardreauAndy AndreoffRiley Barber60122
2Simon RyforsSheldon DriesSimon Holmstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick CicekBrady Lyle60122
2Anton StralmanCole Clayton40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole BardreauRiley Barber60122
2Sheldon DriesAndy Andreoff40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick CicekBrady Lyle60122
2Anton StralmanCole Clayton40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cole Bardreau60122Cole ClaytonBrady Lyle60122
2Sheldon Dries40122Anton StralmanNick Cicek40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole BardreauRiley Barber60122
2Sheldon DriesAndy Andreoff40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole ClaytonBrady Lyle60122
2Anton StralmanAustin Strand40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sheldon DriesAndy AndreoffRiley BarberNick CicekBrady Lyle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andy AndreoffTyler MotteRiley BarberNick CicekBrady Lyle
Extra Forwards
Normal PowerPlayPenalty Kill
Riley Barber, Andy Andreoff, Simon RyforsRiley Barber, Andy AndreoffRiley Barber
Extra Defensemen
Normal PowerPlayPenalty Kill
Brady Lyle, Cole Clayton, Austin StrandBrady LyleBrady Lyle, Cole Clayton
Penalty Shots
Tyler Motte, Simon Ryfors, Andy Andreoff, Sheldon Dries, Riley Barber
Goalie
#1 : Cory Schneider, #2 : Keith Kinkaid


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
1Admirals2110000012751100000010191010000026-420.5001216280011212311313648648608813538134759200.00%6183.33%0953164158.07%819146655.87%711122158.23%167683715178561772854
2Americans20100001610-41000000112-11010000058-310.250681410112123113134686486088135441126564250.00%8275.00%1953164158.07%819146655.87%711122158.23%167683715178561772854
3Barracuda220000001138110000005231100000061541.00011193000112123113136486486088135391076457228.57%13284.62%1953164158.07%819146655.87%711122158.23%167683715178561772854
4Bears603001111630-14302000101118-730100101512-740.3331622380011212311313181864860881351625042136800.00%16475.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
5Bruins11000000422110000004220000000000021.000461000112123113134686486088135165222000%10100.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
6Canucks22000000215161100000081711000000134941.00021335400112123113136686486088135351590506350.00%5180.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
7Checkers2010001049-51010000017-61000001032120.50044800112123113134986486088135542147616116.67%6350.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
8Comets220000001147110000005321100000061541.00011172800112123113135786486088135461538683133.33%9455.56%0953164158.07%819146655.87%711122158.23%167683715178561772854
9Condors20200000410-61010000013-21010000037-400.00047110011212311313608648608813575272832400.00%9366.67%0953164158.07%819146655.87%711122158.23%167683715178561772854
10Crunch2110000010821010000045-11100000063320.50010172700112123113136486486088135361352529333.33%11554.55%0953164158.07%819146655.87%711122158.23%167683715178561772854
11Eagles21001000734100010003211100000041341.0007132000112123113135986486088135491424424250.00%7271.43%1953164158.07%819146655.87%711122158.23%167683715178561772854
12Griffins6310011045252031000110111013210000034151990.75045681130011212311313206864860881351654314316316531.25%19668.42%1953164158.07%819146655.87%711122158.23%167683715178561772854
13Gulls210000018441000000134-11100000050530.7508132101112123113135686486088135421180595240.00%5260.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
14Heat11000000413000000000001100000041321.000471100112123113132886486088135249628300.00%30100.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
15IceHogs10001000211100010002110000000000021.00023500112123113132186486088135182221100.00%10100.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
16Marlies62200200262423110010012102311001001414060.50026396510112123113131908648608813517747147137221045.45%16662.50%1953164158.07%819146655.87%711122158.23%167683715178561772854
17Monsters10001000431100010004310000000000021.0004480011212311313318648608813526161522200.00%5180.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
18Moose11000000101110000001010000000000021.000123011121231131325864860881351321038400.00%000%0953164158.07%819146655.87%711122158.23%167683715178561772854
19Penguins11000000211000000000001100000021121.000246001121231131339864860881351994265240.00%20100.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
20Phantoms651000002622432100000111013300000015123100.833263965011121231131320786486088135114348413922731.82%17476.47%1953164158.07%819146655.87%711122158.23%167683715178561772854
21Reign5220010021192211000001064311001001113-250.5002137581011212311313165864860881351183810714612650.00%16850.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
22Roadrunners6320010023185321000001385311001001010070.5832335581011212311313179864860881351595917417218316.67%17288.24%2953164158.07%819146655.87%711122158.23%167683715178561772854
23Rocket2110000068-2110000005231010000016-520.500691500112123113136586486088135421736538112.50%3166.67%0953164158.07%819146655.87%711122158.23%167683715178561772854
24Senators22000000954110000003121100000064241.00091120001121231131360864860881355510524610220.00%6183.33%2953164158.07%819146655.87%711122158.23%167683715178561772854
25Silver Knights21000100981110000007521000010023-130.7509132200112123113136086486088135481522425120.00%11554.55%0953164158.07%819146655.87%711122158.23%167683715178561772854
26Stars3300000016882200000011471100000054161.0001627430011212311313102864860881358324797214428.57%70100.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
27Thunderbirds63101001352963200000119145311010001615190.7503555900011212311313222864860881352097014315025832.00%291162.07%1953164158.07%819146655.87%711122158.23%167683715178561772854
28Wild2110000047-3110000003211010000015-420.500481200112123113136686486088135611737412150.00%11281.82%0953164158.07%819146655.87%711122158.23%167683715178561772854
29Wolf Pack2020000025-31010000012-11010000013-200.00023510112123113136486486088135251437654125.00%6183.33%0953164158.07%819146655.87%711122158.23%167683715178561772854
30Wolves21100000642110000004131010000023-120.50061016001121231131375864860881354312484212216.67%4175.00%0953164158.07%819146655.87%711122158.23%167683715178561772854
Total8241230473435528372422210032231731294440191301511182154281070.65235554990453112123113132617864860881352035643169820852436928.40%2697871.00%11953164158.07%819146655.87%711122158.23%167683715178561772854
_Since Last GM Reset8241230473435528372422210032231731294440191301511182154281070.65235554990453112123113132617864860881352035643169820852436928.40%2697871.00%11953164158.07%819146655.87%711122158.23%167683715178561772854
_Vs Conference552615026332442063827137012221149222281380141113011416710.64524437662042112123113131762864860881351428444108314251655030.30%1694971.01%8953164158.07%819146655.87%711122158.23%167683715178561772854
_Vs Division23181201622110911912960022141392119601401695217501.087110162272201121231131372686486088135589167505590752432.00%702465.71%5953164158.07%819146655.87%711122158.23%167683715178561772854

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82107W3355549904261720356431698208553
All Games
GPWLOTWOTL SOWSOLGFGA
8241234734355283
Home Games
GPWLOTWOTL SOWSOLGFGA
4222103223173129
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4019131511182154
Last 10 Games
WLOTWOTL SOWSOL
620101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2436928.40%2697871.00%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8648608813511212311313
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
953164158.07%819146655.87%711122158.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167683715178561772854


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
216Griffins4Islanders3BLXBoxScore
334Reign4Islanders2BLBoxScore
453Islanders7Thunderbirds6AWXBoxScore
561Islanders5Reign8ALBoxScore
779Bears8Islanders5BLBoxScore
898Thunderbirds7Islanders6BLXXBoxScore
9107Islanders1Marlies3ALBoxScore
10129Thunderbirds4Islanders5BWBoxScore
11145Islanders4Griffins6ALBoxScore
12159Griffins3Islanders4BWBoxScore
13171Islanders2Roadrunners4ALBoxScore
14178Islanders4Bears5ALXXBoxScore
15198Islanders9Marlies6AWBoxScore
16210Islanders3Phantoms2AWBoxScore
17216Roadrunners2Islanders5BWBoxScore
19241Marlies4Islanders3BLBoxScore
20264Bears8Islanders3BLBoxScore
22281Silver Knights5Islanders7BWBoxScore
23305Islanders3Reign4ALXBoxScore
24310Islanders1Wild5ALBoxScore
25323Roadrunners1Islanders5BWBoxScore
26346Marlies1Islanders5BWBoxScore
27362Islanders6Barracuda1AWBoxScore
29375Islanders6Comets1AWBoxScore
30385Reign2Islanders8BWBoxScore
31405Stars3Islanders8BWBoxScore
33419Islanders2Roadrunners3ALXBoxScore
34438Wolf Pack2Islanders1BLBoxScore
36454Islanders13Griffins3AWBoxScore
37466Islanders6Senators4AWBoxScore
38479Phantoms6Islanders2BLBoxScore
39501Bears2Islanders3BWXXBoxScore
41515Islanders2Wolves3ALBoxScore
42531Eagles2Islanders3BWXBoxScore
43546Islanders6Roadrunners3AWBoxScore
44560Comets3Islanders5BWBoxScore
45566Islanders4Eagles1AWBoxScore
46591Wild2Islanders3BWBoxScore
47607Islanders6Phantoms5AWBoxScore
48618Islanders1Rocket6ALBoxScore
49631Bruins2Islanders4BWBoxScore
51655Rocket2Islanders5BWBoxScore
52669Islanders2Admirals6ALBoxScore
53673Islanders4Heat1AWBoxScore
54692Monsters3Islanders4BWXBoxScore
56712Islanders5Gulls0AWBoxScore
57726Canucks1Islanders8BWBoxScore
58742Islanders5Thunderbirds6ALBoxScore
59755Condors3Islanders1BLBoxScore
60772Islanders1Wolf Pack3ALBoxScore
61787Roadrunners5Islanders3BLBoxScore
64813Moose0Islanders1BWBoxScore
66832Islanders4Thunderbirds3AWBoxScore
67845Checkers7Islanders1BLBoxScore
69865Islanders3Checkers2AWXXBoxScore
70877Griffins3Islanders4BWXXBoxScore
71897Islanders4Marlies5ALXBoxScore
72907Admirals1Islanders10BWBoxScore
74928Islanders3Condors7ALBoxScore
75937Islanders2Penguins1AWBoxScore
76947Crunch5Islanders4BLBoxScore
77967Phantoms4Islanders5BWBoxScore
78984Barracuda2Islanders5BWBoxScore
80999Islanders2Silver Knights3ALXBoxScore
811015Islanders0Bears1ALXBoxScore
821032Wolves1Islanders4BWBoxScore
831053Islanders5Stars4AWBoxScore
841062Stars1Islanders3BWBoxScore
861088Phantoms0Islanders4BWBoxScore
871099Islanders3Reign1AWBoxScore
881113Islanders13Canucks4AWBoxScore
891124Gulls4Islanders3BLXXBoxScore
911145Islanders6Phantoms5AWBoxScore
921157Marlies5Islanders4BLXBoxScore
931180Senators1Islanders3BWBoxScore
941190Islanders5Americans8ALBoxScore
951206Islanders1Bears6ALBoxScore
961214Islanders17Griffins6AWBoxScore
971225Americans2Islanders1BLXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
991248IceHogs1Islanders2BWXBoxScore
1021276Thunderbirds3Islanders8BWBoxScore
1031287Islanders6Crunch3AWBoxScore
1041294Islanders-IceHogs-
1051310Reign-Islanders-
1061318Islanders-Bruins-
1081336Islanders-Americans-
1091347Islanders-Moose-
1101357Penguins-Islanders-
1111370Islanders-Monsters-
1131384Heat-Islanders-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3015
Attendance80,42232,178
Attendance PCT95.74%76.61%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 2681 - 89.37% 102,715$4,314,044$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,740,876$ 3,125,150$ 3,100,150$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
27,175$ 2,845,225$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
308,146$ 12 35,871$ 430,452$




Islanders 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
1Riley Barber2551151382536229240825672115.95%77408516.0226285488202814443.33%01.24410
2Andy Andreoff2361001482485247445735069114.47%99441218.70173754633362617560.37%41.12518
3Kyle Rau2561061172234818040431172414.64%64379114.81263662872351913853.85%21.1829
4Zac Dalpe264851182036715043241863913.30%79433016.40131831373141210250.24%30.94411
5Seth Griffith161821031854120530123158114.11%67308719.1819214059022714642.34%51.2037

Islanders Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1David Rittich1316738170.8693.35740341413315717741230.67634
2Cory Schneider77431890.8683.2342960323117469741240.52619
3Andrew Hammond582718100.8722.993254251621270687340.63219
4Garret Sparks51251250.8832.50271704113962558320.4449
5Andrew Hammond40211240.8922.98205100102942573221.0002

Islanders 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
2020904029087062842562845181505304138129945221403402146127191092844587426955101120102236581834797451995682102615042406426.67%2597172.59%10852157654.06%841151955.37%624112455.52%1660710165097821321048
20219037300486532130417452013045121651461945171700353156158-21073215048253375131105132871864102596351230973589020792345121.79%2989269.13%7870171750.67%791162948.56%622126349.25%178785717009481973952
202292472604933379305744625110261118714839462215023221921573512037962510042193146133133495104312601173412462785133325262596926.64%3158573.02%51153204956.27%867165052.55%789140256.28%1959102016879271912925
202382412304734355283724222100322317312944401913015111821542810735554990453112123113132617864860881352035643169820852436928.40%2697871.00%11953164158.07%819146655.87%711122158.23%167683715178561772854
Total Regular Season3541651080203112181339114819117885490141641066355211117680590615886765968044313392136347516163355014714911219335239793814172880128454947819497625325.92%114132671.43%333828698354.82%3318626452.97%2746501054.81%708334256556371077903780
Playoff
20201257000002738-1152300000814-6734000001924-510274370016912022955897692749412316628517.86%25772.00%010719056.32%10920453.43%6914647.26%20577231131289145
2021514000002226-420200000811-3312000001415-1222365810610601716058530189684112623521.74%13469.23%05412343.90%5112441.13%369239.13%9951109479245
2022734000002636-10321000001516-1413000001120-96264571007126125089757214252848021432928.13%26676.92%18916952.66%7714553.10%5311048.18%149741527114174
Total Playoff249150000075100-251046000003141-101459000004459-15187512419911193124165020422220123715246244506831922.89%641773.44%125048251.87%23747350.11%15834845.40%454203493250523265

Islanders 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
1128917-91030244617.39%829824.893361000000037.19%01.1401
2127815-1013373520.00%527923.32235500002053.67%01.0700
31210515-4625183231.25%719015.85224400011046.58%11.5800
4127613-23515213818.42%1126822.41224500011054.55%10.9700
51201111-4291521230%621117.60055100010060.91%01.0400

Islanders Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1145430.8593.2575701412911650000
2124710.8674.6869300544062321100
310000.76512.00200041790000