Login

Islanders
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Parcels | Morale : 40 | Team Overall : 59
Next Games #14 vs Checkers
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Checkers
0-0-0, 0pts
2022-09-15
Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Gulls
0-0-0, 0pts
2022-09-17
Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Barracuda
1-0-1, 3pts
2022-09-20
Islanders
0-0-0, 0pts
Team Stats
OTL1StreakN/A
0-0-1Home Record0-0-0
1-0-0Away Record0-0-0
1-0-1Last 10 Games0-0-0
2.50Goals Per Game0.00
2.00Goals Against Per Game0.00
57.14%Power Play Percentage0.00%
50.00%Penalty Kill Percentage0.00%
Team Leaders

Team Stats
Goals For
0
0.00 GFG
Shots For
0
0.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
0.0%
Goals Against
0
0.00 GAA
Shots Against
0
0.00 Avg
Penalty Kill Percentage
0.0%
0 GA
Defensive Zone Start
0.0%
Team Info

General ManagerParcels
CoachLuke Richardson
DivisionMetropolitan Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 90
Prospects24


Team History

This Season0-0-0 (0PTS)
History86-52-26 (0.524%)
Playoff Appearances2
Playoff Record (W-L)4-8
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 Average
1Stefan Noesen0X100.00945175618560556940687260666475040630291900,000$
2Jonathan Dahlen (R)0X100.005240886978827261466667656451610406202441,250,000$
3Rocco Grimaldi0X100.005940776476604565656868606462710406002921,100,000$
4Arttu Ruotsalainen0X100.00614277617960576464686360995463040600241925,000$
5Gregory Hofmann (R)0X100.00694488648280515846676064605060040600292750,000$
6Sheldon Rempal0X100.00503675677560476940707059655363040600272900,000$
7Kyle Turris0X100.005743846082724356836258647676820405903321,150,000$
8Dmitrij Jaskin0X100.00994987598884494458625465575770040590292750,000$
9Remi Elie0X100.00985475548760445940636365626273040590271750,000$
10Brett Ritchie0X100.008955805490745451515959606057700405802931,000,000$
11Aleksi Heponiemi0X100.005034766573605060536859606053630405702311,770,000$
12Semyon Der-Arguchintsev (R)0X100.00503575637460296060656162615161040560223850,000$
13JJ Moser (R)0X100.00603888677873637220696873645161040640222925,000$
14Cale Fleury0X100.00915377548760536920666067605467040620232950,000$
15Gabriel Carlsson0X100.005944876085715075206762716156650406202521,000,000$
16Victor Mete0X100.005341916278765466206856755855650406202421,000,000$
17Axel Andersson (R)0X100.00504875548260136720626268615161040560222875,000$
18Kaedan Korczak (R)0X100.00504675528560436720635763595262040560213850,000$
Scratches
1Scott Wilson0X100.00504075597860495840626362625565040570301800,000$
2Cole Cassels0X100.00504975548260485560635762595767040560271750,000$
3Will Bitten0X100.00504675577960465840646062605967040560241925,000$
4Eetu Tuulola0X100.00505675489060395640626162615564040550242750,000$
5Justin Almeida0XXX100.00503675607560385540625962605463040550231925,000$
6Blake Siebenaler0X100.00505475488760346420605868595867040560262800,000$
7Adam Parsells (R)0X100.00504475528660126320605768595060040550251750,000$
TEAM AVERAGE100.0062457959826546624165616463566604059
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 SP
1Zachary Fucale100.0066726985707068707067697570040690
2Collin Delia100.0063706786676765686764667671040670
Scratches
1Adam Huska100.0060666386656463656561637169040650
2Hunter Jones (R)100.0042605787464744474743456667040520
TEAM AVERAGE100.005867648662626063625961726904063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson75757575757575CAN538500,000$


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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary 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
Adam HuskaIslanders (NYI)G255/12/1997No198 Lbs6 ft3NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
Adam ParsellsIslanders (NYI)D251/3/1997Yes195 Lbs6 ft6NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Aleksi HeponiemiIslanders (NYI)C231/9/1999No155 Lbs5 ft10NoNoNo1Pro & Farm1,770,000$1,751,270$1,770,000$1,751,270$0$0$NoLink
Arttu RuotsalainenIslanders (NYI)C2410/29/1997No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Axel AnderssonIslanders (NYI)D222/10/2000Yes192 Lbs6 ft1NoNoNo2Pro & Farm875,000$865,741$875,000$865,741$0$0$No875,000$Link
Blake SiebenalerIslanders (NYI)D262/27/1996No215 Lbs6 ft1NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
Brett Ritchie (1 Way Contract)Islanders (NYI)RW297/1/1993No220 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$1,000,000$Link
Cale FleuryIslanders (NYI)D2311/19/1998No213 Lbs6 ft1NoNoNo2Pro & Farm950,000$939,947$950,000$939,947$0$0$No950,000$Link
Cole CasselsIslanders (NYI)C275/4/1995No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Collin Delia (1 Way Contract)Islanders (NYI)G287/1/1994No207 Lbs6 ft2NoNoNo3Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$Link
Dmitrij JaskinIslanders (NYI)RW293/23/1993No216 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Link
Eetu TuulolaIslanders (NYI)RW243/17/1998No225 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Link
Gabriel CarlssonIslanders (NYI)D251/2/1997No195 Lbs6 ft5NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Link
Gregory HofmannIslanders (NYI)C2911/13/1992Yes194 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Link
Hunter JonesIslanders (NYI)G227/1/2000Yes194 Lbs6 ft4NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
JJ MoserIslanders (NYI)D226/6/2000Yes173 Lbs6 ft1NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Jonathan Dahlen (1 Way Contract)Islanders (NYI)C2412/20/1997Yes180 Lbs5 ft11NoNoNo4Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$125,000$123,677$No1,250,000$1,250,000$1,250,000$Link
Justin AlmeidaIslanders (NYI)C/LW/RW232/6/1999No165 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Kaedan KorczakIslanders (NYI)D211/29/2001Yes202 Lbs6 ft3NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Kyle Turris (1 Way Contract)Islanders (NYI)C338/14/1989No190 Lbs6 ft1NoNoNo2Pro & Farm1,150,000$1,137,831$1,150,000$1,137,831$25,000$24,735$No1,150,000$Link
Remi ElieIslanders (NYI)LW274/16/1995No215 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Rocco Grimaldi (1 Way Contract)Islanders (NYI)RW292/8/1993No180 Lbs5 ft6NoNoNo2Pro & Farm1,100,000$1,088,360$1,100,000$1,088,360$0$0$No1,100,000$Link
Scott WilsonIslanders (NYI)LW304/24/1992No180 Lbs5 ft11NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Semyon Der-ArguchintsevIslanders (NYI)C229/15/2000Yes161 Lbs5 ft11NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Sheldon RempalIslanders (NYI)RW278/7/1995No165 Lbs5 ft10NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Link
Stefan NoesenIslanders (NYI)RW292/12/1993No205 Lbs6 ft1NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Victor Mete (1 Way Contract)Islanders (NYI)D246/7/1998No185 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Link
Will BittenIslanders (NYI)RW247/10/1998No184 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Zachary Fucale (1 Way Contract)Islanders (NYI)G275/28/1995No187 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.62192 Lbs6 ft11.90922,241$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan DahlenArttu RuotsalainenStefan Noesen40122
2Gregory HofmannAleksi HeponiemiRocco Grimaldi30122
3Dmitrij JaskinKyle TurrisSheldon Rempal20122
4Remi ElieSemyon Der-ArguchintsevBrett Ritchie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1JJ MoserVictor Mete40122
2Cale FleuryGabriel Carlsson30122
3Kaedan KorczakAxel Andersson20122
4JJ MoserVictor Mete10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sheldon RempalArttu RuotsalainenStefan Noesen60122
2Gregory HofmannAleksi HeponiemiJonathan Dahlen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1JJ MoserVictor Mete60122
2Cale FleuryGabriel Carlsson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle TurrisDmitrij Jaskin60122
2Semyon Der-ArguchintsevRemi Elie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1JJ MoserVictor Mete60122
2Cale FleuryGabriel Carlsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kyle Turris60122JJ MoserVictor Mete60122
2Dmitrij Jaskin40122Cale FleuryGabriel Carlsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Arttu RuotsalainenSheldon Rempal60122
2Aleksi HeponiemiStefan Noesen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1JJ MoserVictor Mete60122
2Cale FleuryGabriel Carlsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Remi ElieJonathan DahlenStefan NoesenJJ MoserVictor Mete
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Remi ElieJonathan DahlenStefan NoesenJJ MoserVictor Mete
Extra Forwards
Normal PowerPlayPenalty Kill
Brett Ritchie, Aleksi Heponiemi, Semyon Der-ArguchintsevBrett Ritchie, Aleksi HeponiemiSemyon Der-Arguchintsev
Extra Defensemen
Normal PowerPlayPenalty Kill
Kaedan Korczak, Axel Andersson, Cale FleuryKaedan KorczakAxel Andersson, Cale Fleury
Penalty Shots
Stefan Noesen, Jonathan Dahlen, Arttu Ruotsalainen, Rocco Grimaldi, Sheldon Rempal
Goalie
#1 : Zachary Fucale, #2 : Collin Delia
Custom OT Lines Forwards
Arttu Ruotsalainen, Jonathan Dahlen, Rocco Grimaldi, Stefan Noesen, Kyle Turris, Sheldon Rempal, Sheldon Rempal, Aleksi Heponiemi, Gregory Hofmann, ,
Custom OT Lines Defensemen
JJ Moser, Victor Mete, Cale Fleury, Gabriel Carlsson, Kaedan Korczak


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
7 - 2022-09-1514Checkers-Islanders-
9 - 2022-09-1732Gulls-Islanders-
12 - 2022-09-2051Barracuda-Islanders-
14 - 2022-09-2266Comets-Islanders-
16 - 2022-09-2481Islanders-Crunch-
17 - 2022-09-2590Islanders-Checkers-
20 - 2022-09-28108Wolf Pack-Islanders-
22 - 2022-09-30124Islanders-Wolves-
23 - 2022-10-01135Eagles-Islanders-
26 - 2022-10-04152Islanders-IceHogs-
28 - 2022-10-06166Islanders-Thunderbirds-
30 - 2022-10-08182Islanders-Griffins-
32 - 2022-10-10193Heat-Islanders-
33 - 2022-10-11198Islanders-Wolf Pack-
35 - 2022-10-13216Roadrunners-Islanders-
37 - 2022-10-15231Monsters-Islanders-
39 - 2022-10-17244Islanders-Senators-
42 - 2022-10-20267Islanders-Admirals-
44 - 2022-10-22284Islanders-Stars-
46 - 2022-10-24295Islanders-Marlies-
48 - 2022-10-26310Condors-Islanders-
50 - 2022-10-28326Islanders-Monsters-
51 - 2022-10-29337Phantoms-Islanders-
54 - 2022-11-01353Islanders-Phantoms-
57 - 2022-11-04377Admirals-Islanders-
59 - 2022-11-06396IceHogs-Islanders-
61 - 2022-11-08407Thunderbirds-Islanders-
64 - 2022-11-11425Islanders-Comets-
65 - 2022-11-12440Wolves-Islanders-
68 - 2022-11-15458Islanders-Bruins-
71 - 2022-11-18483Islanders-Roadrunners-
72 - 2022-11-19494Islanders-Silver Knights-
74 - 2022-11-21506Islanders-Eagles-
77 - 2022-11-24527Islanders-Wolf Pack-
78 - 2022-11-25538Checkers-Islanders-
82 - 2022-11-29550Penguins-Islanders-
84 - 2022-12-01567Monsters-Islanders-
87 - 2022-12-04594Islanders-Firebirds-
89 - 2022-12-06607Islanders-Canucks-
91 - 2022-12-08618Islanders-Condors-
92 - 2022-12-09626Islanders-Heat-
96 - 2022-12-13653Stars-Islanders-
98 - 2022-12-15669Wild-Islanders-
100 - 2022-12-17680Rocket-Islanders-
102 - 2022-12-19702Bears-Islanders-
104 - 2022-12-21713Bruins-Islanders-
105 - 2022-12-22722Islanders-Americans-
107 - 2022-12-24739Wolves-Islanders-
109 - 2022-12-26752Islanders-Marlies-
111 - 2022-12-28766Islanders-Senators-
113 - 2022-12-30780Griffins-Islanders-
114 - 2022-12-31794Silver Knights-Islanders-
123 - 2023-01-09807Islanders-Phantoms-
124 - 2023-01-10816Firebirds-Islanders-
126 - 2023-01-12826Canucks-Islanders-
128 - 2023-01-14835Islanders-Rocket-
131 - 2023-01-17858Senators-Islanders-
134 - 2023-01-20879Penguins-Islanders-
135 - 2023-01-21885Islanders-Bruins-
137 - 2023-01-23906Islanders-Penguins-
139 - 2023-01-25917Moose-Islanders-
141 - 2023-01-27934Reign-Islanders-
143 - 2023-01-29949Islanders-Moose-
145 - 2023-01-31962Islanders-Wild-
149 - 2023-02-04989Griffins-Islanders-
152 - 2023-02-071017Americans-Islanders-
154 - 2023-02-091027Islanders-Penguins-
156 - 2023-02-111048Bears-Islanders-
159 - 2023-02-141075Islanders-Reign-
160 - 2023-02-151079Islanders-Gulls-
163 - 2023-02-181107Islanders-Barracuda-
166 - 2023-02-211127Marlies-Islanders-
169 - 2023-02-241147Islanders-Monsters-
170 - 2023-02-251157Americans-Islanders-
172 - 2023-02-271172Comets-Islanders-
174 - 2023-03-011187Islanders-Bears-
177 - 2023-03-041209Islanders-Crunch-
178 - 2023-03-051219Islanders-Wolves-
182 - 2023-03-091249Crunch-Islanders-
184 - 2023-03-111268Phantoms-Islanders-
186 - 2023-03-131278Islanders-Bears-
188 - 2023-03-151295Rocket-Islanders-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
20,630$ 1,949,500$ 1,949,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,315$ 20,630$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 187 10,315$ 1,928,905$




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
1182302608855182189-74115130354194940411513053148895-799182304486472961791621135617427657824237702101632953132.63%1003763.00%4619138944.56%655153142.78%44699045.05%151669116438381828914
1182302608855182189-74115130354194940411513053148895-799182304486472961791621135617427657824237702101632953132.63%1003763.00%4619138944.56%655153142.78%44699045.05%151669116438381828914
Total Regular Season1646052016161010364378-148230260610821881880823026010628176190-14198364608972814581221583242261122148415301564846154042032641906232.63%2007463.00%81238277844.56%1310306242.78%892198045.05%303213823286167736561828
Playoff
1162400000918-930300000212-10321000007614916250023311846755557276103141353266.67%7357.14%05212142.98%4012631.75%257334.25%115611475811455
1162400000918-930300000212-10321000007614916250023311846755557276103141353266.67%7357.14%05212142.98%4012631.75%257334.25%115611475811455
Total Playoff1248000001836-1860600000424-206420000014122818325000466236813411011014552206282706466.67%14657.14%010424242.98%8025231.75%5014634.25%230122294117229110