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Islander
GP: 80 | W: 40 | L: 32 | OTL: 8 | P: 88
GF: 311 | GA: 313 | PP%: 24.82% | PK%: 77.97%
GM : Maxime Alain | Morale : 43 | Team Overall : 63

Game Center
Icehogs
39-34-7, 85pts
4
FINAL
3 Islander
40-32-8, 88pts
Team Stats
L1StreakW1
21-15-4Home Record19-16-5
18-19-3Home Record21-16-3
3-5-2Last 10 Games5-3-2
4.29Goals Per Game3.89
4.16Goals Against Per Game3.91
27.18%Power Play Percentage24.82%
79.55%Penalty Kill Percentage77.97%
Rockets
39-36-5, 83pts
3
FINAL
6 Islander
40-32-8, 88pts
Team Stats
L2StreakW1
21-17-2Home Record19-16-5
18-19-3Home Record21-16-3
5-5-0Last 10 Games5-3-2
3.91Goals Per Game3.89
4.13Goals Against Per Game3.91
22.26%Power Play Percentage24.82%
77.74%Penalty Kill Percentage77.97%
Team Leaders
Goals
Joe Labate
52
Assists
Joe Labate
62
Points
Joe Labate
114
Plus/Minus
Jake Walman
16
Wins
Kaapo Kahkonen
28
Save Percentage
Chris Driedger
0.898

Team Stats
Goals For
311
3.89 GFG
Shots For
2587
32.34 Avg
Power Play Percentage
24.8%
69 GF
Offensive Zone Start
36.5%
Goals Against
313
3.91 GAA
Shots Against
2581
32.26 Avg
Penalty Kill Percentage
78.0%%
78 GA
Defensive Zone Start
38.0%
Team Info

General ManagerMaxime Alain
CoachAndré Tourigny
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,783
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 250
Prospects0


Filter Tips
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5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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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 WatsonX100.007728827269757975717075666867592863710271700,000$
2Joe LabateX100.007331717478687176717076657264583063710261900,000$
3Ben ThomsonX100.007045717583667174667570676659563363700261900,000$
4Rhett Gardner (R)X100.008143757574638069687279666353473953700231900,000$
5Ross Colton (R)X100.006937836883746868757376616750494542690232750,000$
6Tyrell GoulbourneX100.007836747877636975577165667055533237680251700,000$
7Filip Zadina (R)X100.005437787356697076747573425544456663650201500,000$
8Connor Dewar (R)X100.005135797260695276615870496443456438630201500,000$
9Kirill MarchenkoX100.005930747169716361545582506341426447630191500,000$
10Noah Cates (R)X100.007937636571487966515969625743435756620203500,000$
11Jaden Lindo (R)X100.006636655865586066556266546145453742600231500,000$
12Alex Steeves (R)X100.007839656966496765476257485842425137590203500,000$
13Slater KoekkoekX100.007021887572798075576671776170523651720251900,000$
14Jake Walman (R)X100.006634877676757168456655774852484230700233950,000$
15Alexander Yelesin (R)X100.007633757369706060457054725753513637680233600,000$
16Jakub Galvas (R)X100.006724777571736760416250795846445559670203600,000$
17Casey Staum (R)X100.006335756363566056436350625345454335600213500,000$
18Ronnie Attard (R)X100.006938785153686665346168554944446320600202500,000$
Scratches
1Steven Spinner (R)X100.006961626073627456596063415145453535590231500,000$
2Cole Koepke (R)X100.005141766565636659524874456947475320590211500,000$
3Philip Tomasino (R)X100.004930646645645857776768415340408319580182500,000$
4Radovan Bondra (R)X100.007026605657526362416759554344443719570221500,000$
5Marcus Davidsson (R)X100.006542715763554850626463476344475020570212500,000$
6Pavel Koltygin (R)X100.004635656450606048534967374743425820530202500,000$
7Ville Heinola (R)X100.005528716347475871266950524340406720560182500,000$
TEAM AVERAGE100.00663573686664666555656657584947484063
Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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
1Kaapo Kahkonen100.00707272787371747473776862504374720231875,000$
2Chris Driedger100.00766472576076656952785849513480640251700,000$
Scratches
1Frederik Dichow (R)100.00514455565249405947366140407220480182500,000$
TEAM AVERAGE100.0066606664626560675764625047505861
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
André Tourigny75586370346247Can621800,000$


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
1Joe LabateIslander (NyI)C80526211489201621822739316919.05%39180722.5915173234244336112759250.40%27565335011.26480006115
2Ben ThomsonIslander (NyI)LW803854925130015410628910320213.15%51177822.237172432243347102453342.67%1505831001.0346000249
3Oliver KylingtonIslandersD74217091-134601291842411051118.71%128204427.63112031462490337286200%07782000.8900000464
4Austin WatsonIslander (NyI)RW803842806200120772597412914.67%40153119.1491524382430000145346.70%1824922211.0528000653
5Rhett GardnerIslander (NyI)C8028376556601391242116112413.27%30129616.2188161914700031233445.75%8483917001.0001000252
6Tyrell GoulbourneIslander (NyI)LW572925548460121841795111716.20%2596116.877815171270007803133.33%393210011.1200000401
7Slater KoekkoekIslander (NyI)D7433841-121609614413751522.19%117206027.8411516202470115297000%04173000.4000000003
8Filip ZadinaIslander (NyI)LW80211940-920082661846913411.41%21106313.292245640110662146.51%43419000.7500000305
9Ross ColtonIslander (NyI)RW701024343280938810331799.71%25117716.83279816610161012060.17%1182223000.5800000211
10Jake WalmanIslander (NyI)D6752429164051968337306.02%76142121.2232571540112196000%01355000.4100000021
11Noah CatesIslander (NyI)LW741412260320987590305115.56%1276210.3001101000011012229.41%172316000.6800000221
12Connor DewarIslander (NyI)C65121224-7804552101377311.88%2273011.24101171013542040.57%3182216000.6600000100
13Alexander YelesinIslander (NyI)D72122231643595997129281.41%66144520.0814571460110197000%01253000.3200010000
14Kirill MarchenkoIslander (NyI)RW78913227240693956253916.07%1684510.84011091000001062.96%271214000.5200000013
15Alex SteevesIslander (NyI)C6071219424063277118299.86%75058.42000020000121037.64%17871000.7500000011
16Jaden LindoIslander (NyI)RW66910190440733245153220.00%1168410.37112114000000068.18%2289000.5600000000
17Jakub GalvasIslander (NyI)D8011213-1255481015313151.89%72118914.870000590001107000%0336000.2200000001
18Pavel KraskovskyIslandersC136410-240281341122714.63%222617.441127431012280060.71%140102010.8800000110
19Casey StaumIslander (NyI)D50156-310024451913145.26%3359912.00000019000021000%0118000.2000000000
20Steven SpinnerIslander (NyI)RW62415-332066113181312.90%85378.6800001000001053.33%1574000.1900000001
21Radovan BondraIslander (NyI)RW25123-840211163816.67%21465.8600003000000050.00%232000.4100000000
22Ronnie AttardIslander (NyI)D2103316010133120%1321010.010000100001000%015000.2900000000
23Pavel KoltyginIslander (NyI)LW26112-36011651820.00%32027.8100000000010025.00%440000.2000000000
24Philip TomasinoIslander (NyI)C13011-520305130%1534.1500000000010033.33%1512000.3700000000
25Ville HeinolaIslander (NyI)D7011100362100%17510.740000000000000%005000.2700000000
26Cole KoepkeIslander (NyI)LW9000000310020%0262.9400000000000066.67%30000000000000
27Marcus DavidssonIslander (NyI)C6000000100000%071.290000000004000%10000000000000
Team Total or Average14693115068171473210180816822558882149112.16%8212339315.9269119188242229291423582222361648.48%4878539540240.701023010333941
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
1Kaapo KahkonenIslander (NyI)62282280.8684.143376602331771904420.696236019111
2Chris DriedgerIslander (NyI)142500.8983.174742025246126120.6673377100
Team Total or Average76302780.8724.023850802582017103054266396211


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)C201999-01-01USAYes185 Lbs5 ft11NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Alexander YelesinIslander (NyI)D231996-01-01RUSYes195 Lbs6 ft0NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Austin WatsonIslander (NyI)RW271992-01-01USANo193 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Ben ThomsonIslander (NyI)LW261993-01-01CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Casey StaumIslander (NyI)D211998-01-01USAYes181 Lbs6 ft0NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Chris DriedgerIslander (NyI)G251994-01-01CANNo187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Cole KoepkeIslander (NyI)LW211998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Connor DewarIslander (NyI)C201999-01-01CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Filip ZadinaIslander (NyI)LW201999-01-01CZEYes197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Frederik DichowIslander (NyI)G182001-01-01SWEYes192 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Jaden LindoIslander (NyI)RW231996-01-01CANYes215 Lbs6 ft2NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$0$0$No---------------------------
Jake WalmanIslander (NyI)D231996-01-01RUSYes180 Lbs6 ft0NoNoTrade2024-09-24NoNo32024-08-21FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Jakub GalvasIslander (NyI)D201999-01-01CZEYes161 Lbs5 ft11NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Joe LabateIslander (NyI)C261993-01-01USANo190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Kaapo KahkonenIslander (NyI)G231996-01-01FINNo214 Lbs6 ft2NoNoTrade2025-01-29NoNo12024-09-01FalseFalsePro & Farm875,000$0$0$No---------------------------
Kirill MarchenkoIslander (NyI)RW192000-01-01RUSNo187 Lbs6 ft3NoNoTrade2025-03-17NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Marcus DavidssonIslander (NyI)C211998-01-01SWEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Noah CatesIslander (NyI)LW201999-01-01USAYes179 Lbs6 ft1NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Pavel KoltyginIslander (NyI)LW201999-01-01RUSYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Philip TomasinoIslander (NyI)C182001-01-01CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Radovan BondraIslander (NyI)RW221997-01-01SVKYes217 Lbs6 ft5NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$0$0$No---------------------------
Rhett GardnerIslander (NyI)C231996-01-01CANYes225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Ronnie AttardIslander (NyI)D201999-01-01USAYes207 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Ross ColtonIslander (NyI)RW231996-01-01USAYes209 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Slater KoekkoekIslander (NyI)D251994-01-01CANNo184 Lbs6 ft1NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm900,000$0$0$No---------------------------
Steven SpinnerIslander (NyI)RW231996-01-01USAYes202 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$0$0$No---------------------------
Tyrell GoulbourneIslander (NyI)LW251994-01-01CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Ville HeinolaIslander (NyI)D182001-01-01FINYes181 Lbs6 ft0NoNoTrade2025-03-17NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2821.89193 Lbs6 ft11.68624,107$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben ThomsonJoe LabateAustin Watson40122
2Tyrell GoulbourneRhett GardnerRoss Colton30122
3Filip ZadinaConnor DewarKirill Marchenko20122
4Noah CatesAlex SteevesJaden Lindo10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekJake Walman40122
2Alexander YelesinJakub Galvas30122
3Casey StaumRonnie Attard20122
4Slater KoekkoekJake Walman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben ThomsonJoe LabateAustin Watson60122
2Tyrell GoulbourneRhett GardnerRoss Colton40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joe LabateBen Thomson60122
2Rhett GardnerTyrell Goulbourne40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joe Labate60122Slater KoekkoekJake Walman60122
2Rhett Gardner40122Alexander YelesinJakub Galvas40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joe LabateBen Thomson60122
2Rhett GardnerTyrell Goulbourne40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ben ThomsonJoe LabateAustin WatsonSlater KoekkoekJake Walman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ben ThomsonJoe LabateAustin WatsonSlater KoekkoekJake Walman
Extra Forwards
Normal PowerPlayPenalty Kill
Ross Colton, Tyrell Goulbourne, Filip ZadinaRoss Colton, Tyrell GoulbourneRoss Colton
Extra Defensemen
Normal PowerPlayPenalty Kill
Jakub Galvas, Casey Staum, Ronnie AttardJakub GalvasJakub Galvas, Casey Staum
Penalty Shots
Austin Watson, Joe Labate, Ben Thomson, Rhett Gardner, Ross Colton
Goalie
#1 : Kaapo Kahkonen, #2 : Chris Driedger
Custom OT Lines Forwards
Austin Watson, Joe Labate, Ben Thomson, Rhett Gardner, Ross Colton, Tyrell Goulbourne, Filip Zadina, Kirill Marchenko, Connor Dewar, Noah Cates
Custom OT Lines Defensemen
Slater Koekkoek, Jake Walman, Alexander Yelesin, Jakub Galvas, Casey Staum


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
1Admirals20200000912-31010000045-11010000057-200.000916251080106115155882888884549662510391119.09%5180.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
2Americans2020000049-51010000034-11010000015-400.00047110080106115156382888884549622216527342.86%8275.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
3Barracuda2110000013941010000046-21100000093620.5001321341080106115156782888884549632023406233.33%9366.67%0860177148.56%936184550.73%589124147.46%170294217027621447710
4Bears622010102622430201000813-532000010189980.66726416700801061151517782888884549190566215517211.76%31390.32%1860177148.56%936184550.73%589124147.46%170294217027621447710
5Canucks3210000014122110000006422110000088040.667142438108010611515119828888845498624188012433.33%9277.78%1860177148.56%936184550.73%589124147.46%170294217027621447710
6Checkers31100001711-420100001410-61100000031230.500711180080106115158182888884549943634621317.69%17476.47%1860177148.56%936184550.73%589124147.46%170294217027621447710
7Comets632001002321232100000161243110010079-270.58323386100801061151519382888884549198586015611327.27%30680.00%1860177148.56%936184550.73%589124147.46%170294217027621447710
8Condors210000101055110000006241000001043141.0001014240080106115157482888884549682216494375.00%8187.50%0860177148.56%936184550.73%589124147.46%170294217027621447710
9Crunch42100001151413200000111921010000045-150.6251529440080106115151338288888454913038288414214.29%14471.43%0860177148.56%936184550.73%589124147.46%170294217027621447710
10Eagles30101100910-1200011006601010000034-130.5009152400801061151591828888845498736326210110.00%16193.75%0860177148.56%936184550.73%589124147.46%170294217027621447710
11Firebirds6320100022211321000001212031101000109180.66722375900801061151519982888884549191526712325728.00%26869.23%0860177148.56%936184550.73%589124147.46%170294217027621447710
12Griffins2110000059-41010000027-51100000032120.50059140080106115156482888884549641622416116.67%11463.64%0860177148.56%936184550.73%589124147.46%170294217027621447710
13Gulls201000101011-1100000105411010000057-220.5001016261080106115157582888884549602710517457.14%5260.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
14Icehogs622011001822-430101100811-3321000001011-170.58318304800801061151521482888884549191784014626623.08%20860.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
15Little Stars311000011514120100001810-21100000074330.500152641008010611515978288888454911332246713215.38%12375.00%3860177148.56%936184550.73%589124147.46%170294217027621447710
16Marlies22000000936110000002111100000072541.000915240080106115156382888884549652216496350.00%8275.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
17Moose2010001078-1100000103211010000046-220.50079160080106115157382888884549722916503133.33%8450.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
18Penguins430001002112911000000422320001001710770.8752136570080106115151348288888454914450388012433.33%19289.47%1860177148.56%936184550.73%589124147.46%170294217027621447710
19Phantoms211000008801010000035-21100000053220.500812200080106115156682888884549571620508337.50%10280.00%0860177148.56%936184550.73%589124147.46%170294217027621447710
20Punishers3110001012111211000008801000001043140.667121931008010611515928288888454910428286116318.75%14378.57%0860177148.56%936184550.73%589124147.46%170294217027621447710
21Rockets220000001284110000006331100000065141.0001221330080106115157182888884549701716298112.50%8362.50%0860177148.56%936184550.73%589124147.46%170294217027621447710
22Senators2010010047-31010000024-21000010023-110.2504812008010611515398288888454961252842400.00%14192.86%0860177148.56%936184550.73%589124147.46%170294217027621447710
23Thunderbirds412010001414010001000431312000001011-140.5001421350080106115151348288888454910042428210330.00%21385.71%0860177148.56%936184550.73%589124147.46%170294217027621447710
24Wolfpack30300000819-111010000038-520200000511-600.00081422008010611515788288888454911639286715213.33%14285.71%1860177148.56%936184550.73%589124147.46%170294217027621447710
25Wranglers413000001621-521100000119220200000512-720.2501624400080106115151328288888454912944347214750.00%17476.47%0860177148.56%936184550.73%589124147.46%170294217027621447710
Total80303205553311313-240131604223149160-11401716013301621539880.550311513824408010611515258782888884549258185472817892786924.82%3547877.97%9860177148.56%936184550.73%589124147.46%170294217027621447710
_Since Last GM Reset80303205553311313-240131604223149160-11401716013301621539880.550311513824408010611515258782888884549258185472817892786924.82%3547877.97%9860177148.56%936184550.73%589124147.46%170294217027621447710
_Vs Conference4819170432318618152498031039097-72410901220968412560.583186311497108010611515152882888884549155349146110791683420.24%2234181.61%9860177148.56%936184550.73%589124147.46%170294217027621447710
_Vs Division18860211071647944010003637-19420111035278230.6397111618700801061151556982888884549579166189434531222.64%871780.46%2860177148.56%936184550.73%589124147.46%170294217027621447710

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8088W131151382425872581854728178940
All Games
GPWLOTWOTL SOWSOLGFGA
8030325553311313
Home Games
GPWLOTWOTL SOWSOLGFGA
4013164223149160
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4017161330162153
Last 10 Games
WLOTWOTL SOWSOL
231121
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2786924.82%3547877.97%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
828888845498010611515
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
860177148.56%936184550.73%589124147.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
170294217027621447710


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
29Islander3Icehogs1WBoxScore
416Islander7Penguins4WBoxScore
624Islander2Thunderbirds3LBoxScore
730Firebirds7Islander5LBoxScore
1048Comets4Islander7WBoxScore
1258Islander2Comets3LXBoxScore
1676Islander3Firebirds2WXBoxScore
1778Icehogs4Islander1LBoxScore
2098Bears5Islander0LBoxScore
22109Islander5Bears2WBoxScore
25126Crunch2Islander3WBoxScore
27140Islander7Penguins2WBoxScore
29151Islander4Thunderbirds1WBoxScore
30156Punishers5Islander2LBoxScore
33173Islander2Firebirds4LBoxScore
35179Islander4Wolfpack6LBoxScore
36185Checkers7Islander2LBoxScore
41208Bears3Islander4WXBoxScore
45226Islander5Phantoms3WBoxScore
47233Firebirds2Islander3WBoxScore
50254Thunderbirds3Islander4WXBoxScore
52264Islander3Penguins4LXBoxScore
55281Islander4Moose6LBoxScore
56286Little Stars4Islander3LXXBoxScore
59300Islander7Marlies2WBoxScore
61306Islander3Comets5LBoxScore
62313Little Stars6Islander5LBoxScore
66337Admirals5Islander4LBoxScore
68346Islander3Griffins2WBoxScore
70360Islander2Comets1WBoxScore
71365Wranglers6Islander3LBoxScore
74383Islander1Wolfpack5LBoxScore
76390Comets3Islander2LBoxScore
79404Islander7Little Stars4WBoxScore
80414Condors2Islander6WBoxScore
83428Islander2Senators3LXBoxScore
86442Punishers3Islander6WBoxScore
88453Islander5Firebirds3WBoxScore
90464Islander3Wranglers8LBoxScore
91468Gulls4Islander5WXXBoxScore
96493Phantoms5Islander3LBoxScore
100513Islander6Rockets5WBoxScore
102519Griffins7Islander2LBoxScore
106541Penguins2Islander4WBoxScore
109555Islander1Americans5LBoxScore
111569Americans4Islander3LBoxScore
114582Islander4Crunch5LBoxScore
116594Barracuda6Islander4LBoxScore
120615Islander2Wranglers4LBoxScore
121622Firebirds3Islander4WBoxScore
124634Islander5Canucks3WBoxScore
126646Canucks4Islander6WBoxScore
130667Islander4Condors3WXXBoxScore
131674Marlies1Islander2WBoxScore
134693Islander5Admirals7LBoxScore
135701Wolfpack8Islander3LBoxScore
138720Senators4Islander2LBoxScore
140730Islander4Punishers3WXXBoxScore
142741Islander4Thunderbirds7LBoxScore
144752Eagles1Islander2WXBoxScore
147770Islander3Checkers1WBoxScore
148776Eagles5Islander4LXBoxScore
152794Islander6Icehogs5WBoxScore
154804Crunch4Islander3LXXBoxScore
156816Islander3Eagles4LBoxScore
159831Crunch3Islander5WBoxScore
161840Islander7Bears2WBoxScore
163855Wranglers3Islander8WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
166868Islander5Gulls7LBoxScore
168880Islander9Barracuda3WBoxScore
169884Moose2Islander3WXXBoxScore
173900Islander1Icehogs5LBoxScore
174909Comets5Islander7WBoxScore
178933Checkers3Islander2LXXBoxScore
182954Bears5Islander4LBoxScore
184966Islander6Bears5WXXBoxScore
185971Islander3Canucks5LBoxScore
189988Icehogs3Islander4WXBoxScore
1931010Icehogs4Islander3LXBoxScore
1981029Rockets3Islander6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,23337,086
Attendance PCT92.79%92.72%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2783 - 92.77% 175,343$7,013,737$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,665,650$ 1,747,500$ 1,747,500$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,651$ 1,861,967$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,611$ 0$




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