New York Islanders

GP: 5 | W: 3 | L: 1 | OTL: 1 | P: 7
GF: 18 | GA: 18 | PP%: 28.57% | PK%: 43.75%
DG: Pascal Labarre | Morale : 53 | Moyenne d'Équipe : N/A
Prochain matchs #93 vs Los Angeles Kings
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Blake ComeauXX100.0096558378838381816877739555778115400
2Loui ErikssonX100.0063559288898276836275738055888315400
3Kyle PalmieriX100.0096558389878788916080898055818014300
4Jamie BennX99.0094558392959392968991949155858715400
5Johan LarssonX100.0087557378767985769469648755797414700
6Michael RafflX100.0085557678818083757466737555817315400
7Ryan CarpenterX100.0074556570787579748367727055707015500
8Tyler ToffoliX99.0080558790858593876079847855827615400
9Tyler PitlickX100.0092556277747890785969738455727015100
10Patrick MaroonX100.0098558284999987866481788055787415400
11Zemgus GirgensonsXX100.0094558985848482776065687755817915400
12Tyler BozakX99.0070558586888887889284718755818015400
13Brian DumoulinX100.0085558989878888862569659455838115400
14Esa LindellX100.0083559294829191922577679055817915400
15Eric GrybaX100.0081557071977680712562607255827815400
16Roman JosiX99.0082559397929598962591759655848515400
17Trevor DaleyX100.0071558683898887802564699255858815400
18Oliver Ekman-LarssonX99.0092558699919498972584759855868615400
Rayé
1Noel AcciariX100.0069556770756962707062717355605913900
2Chris ConnerX100.0067556568636069605063646255717315200
MOYENNE D'ÉQUIPE99.758355808385848582577473835579781520
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Henrik Lundqvist97.008595959088858685848755959515400
2David Rittich100.008281867282728285858555666815400
Rayé
MOYENNE D'ÉQUIPE98.50848891818579848585865581821540
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes72828387766184USA4335,200,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS GP 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
1Roman JosiNew York IslandersD52911220412134915.38%213126.23123814011017020.00%000001.6800000111
2Jamie BennNew York IslandersLW553821001482481820.83%112424.891123140000161175.00%1600001.2922000010
3Oliver Ekman-LarssonNew York IslandersD5246280184104720.00%512925.89022314101115000.00%000000.9300000100
4Tyler ToffoliNew York IslandersC5134100291510176.67%011422.80011314000000038.26%14900000.7002000000
5Esa LindellNew York IslandersD512322074105310.00%911022.09101513000012000.00%000000.5400000000
6Brian DumoulinNew York IslandersD511202010894411.11%511623.32011613000015000.00%000000.3400000000
7Tyler PitlickNew York IslandersRW511257511291411.11%16713.500000000000000.00%500000.5900010001
8Patrick MaroonNew York IslandersRW502204017275100.00%19018.16000312000000066.67%600000.4400000000
9Tyler BozakNew York IslandersC511200026134107.69%110020.07101312000070050.00%11400000.4000000000
10Blake ComeauNew York IslandersLW/RW5101220511135107.69%17515.13000000000220033.33%5700000.2601000000
11Loui ErikssonNew York IslandersRW5101-1000273914.29%09318.62000013000000050.00%600000.2100000000
12Eric GrybaNew York IslandersD5011080812020.00%06613.220000000001000.00%000000.3000000000
13Kyle PalmieriNew York IslandersRW3011-120752040.00%04515.0701105000000050.00%600000.4411000000
14Johan LarssonNew York IslandersC50112175446360.00%35110.2900000000090039.66%5800000.3900010000
15Noel AcciariNew York IslandersC1000000041000.00%099.8800000000000081.82%1100000.0000000000
16Trevor DaleyNew York IslandersD5000000224230.00%06312.790000000000000.00%000000.0000000000
17Chris ConnerNew York IslandersRW2000-100000010.00%0115.610000000000000.00%000000.0000000000
18Michael RafflNew York IslandersLW5000000212340.00%0469.3700007000050053.33%3000000.0000000000
19Ryan CarpenterNew York IslandersRW4000000313110.00%0307.730000000000000.00%100000.0000000000
20Zemgus GirgensonsNew York IslandersLW/RW5000-120144070.00%0326.550000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne90162945146610117901546212910.39%29151116.8048123413711211261344.13%46000000.6036020222
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Henrik LundqvistNew York Islanders53110.8993.4431400181780000.833650000
Stats d'équipe Total ou en Moyenne53110.8993.4431400181780000.833650000


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Blake ComeauNew York IslandersLW/RW301986-02-17No202 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$2,500,000$2,500,000$
Brian DumoulinNew York IslandersD251991-09-05No207 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm1,000,000$1,000,000$920,904$No1,000,000$1,000,000$
Chris ConnerNew York IslandersRW331983-12-23No181 Lbs5 ft7NoNoNo4Sans RestrictionPro & Farm300,000$300,000$276,271$No300,000$300,000$300,000$
David RittichNew York IslandersG241992-08-18No202 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$300,000$276,271$No300,000$300,000$
Eric GrybaNew York IslandersD281988-04-14No225 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm500,000$500,000$460,452$No500,000$500,000$
Esa LindellNew York IslandersD221994-05-23No198 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$2,500,000$2,500,000$
Henrik LundqvistNew York IslandersG341982-03-02No188 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm3,000,000$3,000,000$2,762,712$No3,000,000$3,000,000$
Jamie BennNew York IslandersLW271989-07-18No210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$5,985,876$No6,500,000$
Johan LarssonNew York IslandersC241992-07-25No206 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$460,452$No500,000$500,000$
Kyle PalmieriNew York IslandersRW251991-02-01No196 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,223,164$No
Loui ErikssonNew York IslandersRW311985-07-17No196 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$
Michael RafflNew York IslandersLW281988-11-30No195 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$920,904$No
Noel AcciariNew York IslandersC241992-03-31No205 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$300,000$276,271$No300,000$
Oliver Ekman-LarssonNew York IslandersD251991-07-16No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm5,990,000$5,990,000$5,516,215$No5,990,000$
Patrick MaroonNew York IslandersRW281988-04-22No231 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,223,164$No3,500,000$
Roman JosiNew York IslandersD261990-05-31No192 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$5,985,876$No6,500,000$
Ryan CarpenterNew York IslandersRW251991-01-17No180 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm500,000$500,000$460,452$No500,000$500,000$500,000$
Trevor DaleyNew York IslandersD331983-10-08No195 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$
Tyler BozakNew York IslandersC301986-03-18No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$
Tyler PitlickNew York IslandersRW251991-10-31No202 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$276,271$No300,000$
Tyler ToffoliNew York IslandersC241992-04-23No196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,302,260$No2,500,000$2,500,000$
Zemgus GirgensonsNew York IslandersLW/RW231994-01-04No190 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$920,904$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2227.00200 Lbs6 ft12.502,258,636$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,690,000$44,190,000$13,600,000$5,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jamie BennTyler ToffoliKyle Palmieri43113
2Loui ErikssonTyler BozakPatrick Maroon32122
3Blake ComeauJohan LarssonTyler Pitlick18131
4Ryan CarpenterMichael RafflZemgus Girgensons7221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiOliver Ekman-Larsson40122
2Brian DumoulinEsa Lindell30122
3Trevor DaleyEric Gryba20122
4Roman JosiOliver Ekman-Larsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jamie BennTyler ToffoliKyle Palmieri75014
2Loui ErikssonTyler BozakPatrick Maroon25122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiOliver Ekman-Larsson70122
2Brian DumoulinEsa Lindell30122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Blake ComeauJamie Benn60131
2Tyler BozakJohan Larsson40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiOliver Ekman-Larsson60140
2Brian DumoulinEsa Lindell40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Blake Comeau60122Roman JosiOliver Ekman-Larsson60122
2Jamie Benn40122Brian DumoulinEsa Lindell40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler ToffoliJamie Benn60122
2Tyler ToffoliPatrick Maroon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oliver Ekman-LarssonRoman Josi60122
2Brian DumoulinEsa Lindell40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jamie BennTyler ToffoliKyle PalmieriRoman JosiOliver Ekman-Larsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jamie BennTyler BozakBlake ComeauRoman JosiOliver Ekman-Larsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Pitlick, Tyler Toffoli, Jamie BennTyler Pitlick, Jamie BennJohan Larsson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Oliver Ekman-Larsson, Roman Josi, Brian DumoulinOliver Ekman-LarssonRoman Josi, Brian Dumoulin
Tirs de Pénalité
Jamie Benn, Tyler Toffoli, Kyle Palmieri, Loui Eriksson, Patrick Maroon
Gardien
#1 : Henrik Lundqvist, #2 : David Rittich


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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
1Anaheim Ducks1000010023-1000000000001000010023-110.50024600002036161010035930265240.00%40100.00%07917944.13%8418545.41%407652.63%2618236115
2Carolina Hurricanes10000010541000000000001000001054121.00057120020212457964141016100.00%23-50.00%07917944.13%8418545.41%407652.63%2720237137
3Nashville Predators2010001089-11010000035-21000001054120.50081321002412561817186801220464125.00%7528.57%17917944.13%8418545.41%407652.63%493350152411
4San Jose Sharks10001000321100010003210000000000021.00035800110138718852246294125.00%3166.67%07917944.13%8418545.41%407652.63%2820216147
Total50101120181802010100067-1300001201211170.70018294700555415446524517178296611714428.57%16943.75%17917944.13%8418545.41%407652.63%13292118366432
_Since Last GM Reset50101120181802010100067-1300001201211170.70018294700555415446524517178296611714428.57%16943.75%17917944.13%8418545.41%407652.63%13292118366432
_Vs Conference10000010541000000000001000001054121.00057120020212457964141016100.00%23-50.00%07917944.13%8418545.41%407652.63%2720237137
_Vs Division10000010541000000000001000001054121.00057120020212457964141016100.00%23-50.00%07917944.13%8418545.41%407652.63%2720237137

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
57OTL1182947154178296611700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
50111201818
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201100067
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
30001201211
Derniers 10 Matchs
WLOTWOTL SOWSOL
011120
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14428.57%16943.75%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
465245175554
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
7917944.13%8418545.41%407652.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13292118366432


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-09-066New York Islanders5Carolina Hurricanes4WXXSommaire du Match
4 - 2018-09-0824Nashville Predators5New York Islanders3LSommaire du Match
6 - 2018-09-1035San Jose Sharks2New York Islanders3WXSommaire du Match
10 - 2018-09-1465New York Islanders5Nashville Predators4WXXSommaire du Match
14 - 2018-09-1886New York Islanders2Anaheim Ducks3LXSommaire du Match
15 - 2018-09-1993New York Islanders-Los Angeles Kings-
17 - 2018-09-21110New York Islanders-San Jose Sharks-
21 - 2018-09-25131Florida Panthers-New York Islanders-
24 - 2018-09-28155New York Islanders-Philadelphia Flyers-
25 - 2018-09-29160New York Islanders-Carolina Hurricanes-
27 - 2018-10-01175New York Islanders-Pittsburgh Penguins-
29 - 2018-10-03186Pittsburgh Penguins-New York Islanders-
31 - 2018-10-05201New Jersey Devils-New York Islanders-
33 - 2018-10-07212Montreal Canadiens-New York Islanders-
36 - 2018-10-10235New York Islanders-Tampa Bay Lightning-
38 - 2018-10-12247New York Islanders-Florida Panthers-
41 - 2018-10-15270Vancouver Canucks-New York Islanders-
43 - 2018-10-17281New York Rangers-New York Islanders-
46 - 2018-10-20307Dallas Stars-New York Islanders-
49 - 2018-10-23328New York Islanders-New York Rangers-
50 - 2018-10-24340New York Islanders-New Jersey Devils-
51 - 2018-10-25352Carolina Hurricanes-New York Islanders-
53 - 2018-10-27364Washington Capitals-New York Islanders-
56 - 2018-10-30382New York Islanders-Boston Bruins-
58 - 2018-11-01403Columbus Blue Jackets-New York Islanders-
61 - 2018-11-04422Winnipeg Jets-New York Islanders-
63 - 2018-11-06435New York Islanders-Pittsburgh Penguins-
65 - 2018-11-08449New York Islanders-Detroit Red Wings-
67 - 2018-11-10462Pittsburgh Penguins-New York Islanders-
69 - 2018-11-12478Vegas Golden Knights-New York Islanders-
72 - 2018-11-15501Detroit Red Wings-New York Islanders-
74 - 2018-11-17513New York Islanders-Colorado Avalanche-
75 - 2018-11-18517New York Islanders-Phoenix Coyotes-
77 - 2018-11-20541New York Islanders-Vegas Golden Knights-
80 - 2018-11-23561New York Islanders-Dallas Stars-
82 - 2018-11-25582Ottawa Senators-New York Islanders-
83 - 2018-11-26596New York Islanders-Toronto Maple Leafs-
85 - 2018-11-28600New York Islanders-Buffalo Sabres-
88 - 2018-12-01625Chicago Blackhawks-New York Islanders-
90 - 2018-12-03643New York Islanders-St. Louis Blues-
93 - 2018-12-06660Carolina Hurricanes-New York Islanders-
95 - 2018-12-08677New York Islanders-New York Rangers-
97 - 2018-12-10695New York Rangers-New York Islanders-
98 - 2018-12-11702Tampa Bay Lightning-New York Islanders-
100 - 2018-12-13717St. Louis Blues-New York Islanders-
102 - 2018-12-15730New Jersey Devils-New York Islanders-
103 - 2018-12-16739New York Islanders-Washington Capitals-
105 - 2018-12-18753Anaheim Ducks-New York Islanders-
107 - 2018-12-20761New York Islanders-Chicago Blackhawks-
113 - 2018-12-26786Tampa Bay Lightning-New York Islanders-
114 - 2018-12-27795Los Angeles Kings-New York Islanders-
117 - 2018-12-30809New York Islanders-Boston Bruins-
119 - 2019-01-01831New York Islanders-New Jersey Devils-
121 - 2019-01-03844Colorado Avalanche-New York Islanders-
122 - 2019-01-04858Minnesota Wild-New York Islanders-
124 - 2019-01-06864New York Islanders-Buffalo Sabres-
126 - 2019-01-08878New York Islanders-Columbus Blue Jackets-
128 - 2019-01-10897Edmonton Oilers-New York Islanders-
132 - 2019-01-14925New York Islanders-Calgary Flames-
133 - 2019-01-15930New York Islanders-Edmonton Oilers-
135 - 2019-01-17955New York Islanders-Vancouver Canucks-
138 - 2019-01-20973Calgary Flames-New York Islanders-
140 - 2019-01-22988Toronto Maple Leafs-New York Islanders-
141 - 2019-01-23995Washington Capitals-New York Islanders-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251013Philadelphia Flyers-New York Islanders-
145 - 2019-01-271026Ottawa Senators-New York Islanders-
147 - 2019-01-291040New York Islanders-Ottawa Senators-
149 - 2019-01-311055Philadelphia Flyers-New York Islanders-
151 - 2019-02-021069Columbus Blue Jackets-New York Islanders-
154 - 2019-02-051088Montreal Canadiens-New York Islanders-
156 - 2019-02-071102New York Islanders-Detroit Red Wings-
157 - 2019-02-081115New York Islanders-Minnesota Wild-
159 - 2019-02-101128Boston Bruins-New York Islanders-
161 - 2019-02-121143New York Islanders-Montreal Canadiens-
163 - 2019-02-141158New York Islanders-Philadelphia Flyers-
164 - 2019-02-151166Phoenix Coyotes-New York Islanders-
166 - 2019-02-171179New York Islanders-Columbus Blue Jackets-
168 - 2019-02-191196New York Islanders-Winnipeg Jets-
170 - 2019-02-211209Buffalo Sabres-New York Islanders-
172 - 2019-02-231225Toronto Maple Leafs-New York Islanders-
175 - 2019-02-261246New York Islanders-Florida Panthers-
177 - 2019-02-281271New York Islanders-Washington Capitals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance11,3869,7643,8547,6381,855
Attendance PCT94.88%97.64%96.35%95.48%92.75%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 17249 - 95.83% 1,072,391$2,144,781$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,253,446$ 49,690,000$ 27,817,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,690,000$ 3,822,368$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
41,823,230$ 163 310,113$ 50,548,419$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
52,158,159$ 49,690,000$ 61,804,858$ 51,469,929$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Blake ComeauAGE:30PO:1OV:0
Samy BlaisAGE:20PO:1OV:0
Harry ZolnierczykAGE:29PO:1OV:0
Michael Dal ColleAGE:20PO:1OV:0
David BrollAGE:24PO:1OV:0
Markus HannikainenAGE:23PO:1OV:0
Jamie BennAGE:27PO:1OV:0
*Radel FazleevAGE:21PO:1OV:0
Max FribergAGE:24PO:1OV:0
Michael RafflAGE:28PO:1OV:0
Turner ElsonAGE:24PO:1OV:0
Cody McLeodAGE:32PO:1OV:0
Zemgus GirgensonsAGE:23PO:1OV:0
Jordan Samuels-ThomasAGE:26PO:1OV:0
Andrew PoturalskiAGE:22PO:1OV:0
Noel AcciariAGE:24PO:1OV:0
Travis BoydAGE:23PO:1OV:0
Johan LarssonAGE:24PO:1OV:0
Tyler ToffoliAGE:24PO:1OV:0
Daniel CiampiniAGE:26PO:1OV:0
Ryan RupertAGE:22PO:1OV:0
Tyler BozakAGE:30PO:1OV:0
Blake ComeauAGE:30PO:1OV:0
Branden TroockAGE:22PO:1OV:0
*Spencer FooAGE:23PO:1OV:0
Andrew DesjardinsAGE:30PO:1OV:0
Loui ErikssonAGE:31PO:1OV:0
Kyle PalmieriAGE:25PO:1OV:0
Chris ConnerAGE:33PO:1OV:0
Ryan CarpenterAGE:25PO:1OV:0
Tyler PitlickAGE:25PO:1OV:0
Patrick MaroonAGE:28PO:1OV:0
Zemgus GirgensonsAGE:23PO:1OV:0

Défense #1Défense #2Gardien
Aaron NessAGE:26PO:1OV:0
Brian DumoulinAGE:25PO:1OV:0
Esa LindellAGE:22PO:1OV:0
Patrick WierciochAGE:26PO:1OV:0
Eric GrybaAGE:28PO:1OV:0
Joel HanleyAGE:25PO:1OV:0
Roman JosiAGE:26PO:1OV:0
Trevor DaleyAGE:33PO:1OV:0
*Evan McEnenyAGE:22PO:1OV:0
*Gavin BayreutherAGE:22PO:1OV:0
*Nelson NogierAGE:20PO:1OV:0
Oliver Ekman-LarssonAGE:25PO:1OV:0
Andrew O'BrienAGE:24PO:1OV:0
Scott HarringtonAGE:23PO:1OV:0
Ryan StantonAGE:27PO:1OV:0
Harri SateriAGE:27PO:1OV:0
Henrik LundqvistAGE:34PO:1OV:0
David RittichAGE:24PO:1OV:0
Matthew O'ConnorAGE:24PO:1OV:0
Cam WardAGE:32PO:1OV:0
*Mason McDonaldAGE:26PO:1OV:0
Antoine BibeauAGE:22PO:1OV:0

Éspoirs

Astuces sur les Filtres (Anglais seulement)
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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Arnaud DurandeauNew York Islanders13177
Cedric PareNew York Islanders13185
Jake McGrewNew York Islanders13151
Maxim LetunovNew York Islanders1054

Choix au Repêchage

Année R1R2R3R4R5R6
14Cal Van Phi Min Tor
15Nas Min
16NYI NYI NYI NYI
17NYI NYI NYI NYI NYI
18NYI NYI NYI NYI NYI



[2018-09-29 10:49:54] - Team Name Change : Bridgeport Sound Tigers changed name to Sound Tigers
[2018-09-14 09:55:46] - TRADE : From Minnesota Wild to New York Islanders : Y:15-RND:5-Min, Y:14-RND:6-Min.
[2018-09-14 09:55:46] - TRADE : From New York Islanders to Minnesota Wild : Patrick Sharp.
[2018-09-14 09:54:32] - TRADE : From New York Islanders to Detroit Red Wings : Y:15-RND:1-STL, Y:16-RND:3-Clb.
[2018-09-14 09:54:32] - TRADE : From Detroit Red Wings to New York Islanders : Henrik Lundqvist.
[2018-09-12 14:31:01] - TRADE : From Dallas Stars to New York Islanders : Michael Dal Colle.
[2018-09-12 14:31:01] - TRADE : From New York Islanders to Dallas Stars : Y:17-RND:2-NYI.
[2018-09-08 14:26:17] - TRADE : From Toronto Maple Leafs to New York Islanders : Blake Comeau.
[2018-09-08 14:26:17] - TRADE : From New York Islanders to Toronto Maple Leafs : Y:18-RND:2-NYI.
[2018-09-05 22:32:43] - TRADE : From New York Islanders to Calgary Flames : Ivan Barbashev, Morgan Frost (P), Y:15-RND:2-NYI.
[2018-09-05 22:32:43] - TRADE : From Calgary Flames to New York Islanders : Kyle Palmieri.
[2018-09-05 16:06:19] - TRADE : From New York Islanders to Dallas Stars : Logan Shaw.
[2018-09-05 16:06:19] - TRADE : From Dallas Stars to New York Islanders : Y:14-RND:6-Tor.
[2018-09-03 12:38:13] - TRADE : From New York Islanders to Philadelphie Flyers : Corey Perry, Sven Andrighetto.
[2018-09-03 12:38:13] - TRADE : From Philadelphie Flyers to New York Islanders : Loui Eriksson, Y:15-RND:1-Nas.
[2018-08-28 16:15:32] - Spencer Foo was added to New York Islanders.
[2018-08-25 10:13:51] - New York Islanders hired John Hynes for 5 200 000 $ for 3 year(s).
[2018-08-25 10:13:15] - New York Islanders fired Michel Therrien.
[2018-07-29 18:29:36] - New York Islanders drafts Cedric Pare as the #185 overall pick in the Entry Draft of year 13.
[2018-07-29 18:27:43] - New York Islanders drafts Arnaud Durandeau as the #177 overall pick in the Entry Draft of year 13.
[2018-07-26 08:08:28] - Victor Bartley has been deleted from New York Islanders.
[2018-07-26 08:08:27] - Ty Rimmer has been deleted from New York Islanders.
[2018-07-26 08:08:24] - Samuel Blais has been deleted from New York Islanders.
[2018-07-26 08:08:22] - Olivier LeBlanc has been deleted from New York Islanders.
[2018-07-26 08:08:18] - Brett Bulmer has been deleted from New York Islanders.
[2018-07-26 08:08:15] - Angelo Miceli has been deleted from New York Islanders.
[2018-07-19 23:00:01] - Jordan Samuels-Thomas was added to New York Islanders.
[2018-07-19 22:58:55] - Harri Sateri was added to New York Islanders.
[2018-07-17 15:21:52] - Samy Blais was added to New York Islanders.
[2018-07-16 20:16:14] - Mason McDonald was added to New York Islanders.
[2018-07-12 19:45:27] - New York Islanders drafts Jake McGrew as the #151 overall pick in the Entry Draft of year 13.
[2018-07-12 19:37:56] - TRADE : From New York Islanders to Philadelphie Flyers : Trevor van Riemsdyk.
[2018-07-12 19:37:56] - TRADE : From Philadelphie Flyers to New York Islanders : Trevor Daley, Y:14-RND:5-Phi.



[2018-10-16 19:40:01] Successfully loaded New York Islanders lines done with STHS Client - 3.1.5.5
[2018-10-11 12:45:29] Successfully loaded New York Islanders lines done with STHS Client - 3.1.5.5
[2018-10-09 11:59:35] Kyle Palmieri from New York Islanders is back from Left Foot Injury.
[2018-10-06 13:09:25] Auto Lines Partial Function has been run for Sound Tigers.
[2018-10-05 17:50:58] Successfully loaded New York Islanders lines done with STHS Client - 3.1.4.4
[2018-10-05 17:50:57] Ryan Carpenter of New York Islanders was sent to pro.
[2018-10-05 17:50:57] Chris Conner of New York Islanders was sent to pro.
[2018-10-04 17:13:26] Noel Acciari from New York Islanders is back from Right Knee Injury.
[2018-10-04 17:13:25] Game 6 - Noel Acciari from New York Islanders is injured (Right Knee) and is out for 3 days.
[2018-10-04 17:13:25] Game 6 - Kyle Palmieri from New York Islanders is injured (Left Foot) and is out for 1 week.
[2018-10-01 08:11:45] Successfully loaded New York Islanders lines done with STHS Client - 3.1.4.4
[2018-10-01 08:11:44] Cam Ward of New York Islanders was sent to farm.
[2018-09-30 11:03:05] New York Islanders are expected to be over the salary cap by 390 000 $!
[2018-09-29 10:59:55] New York Islanders are expected to be over the salary cap by 390 000 $!
[2018-09-15 11:45:47] Auto Lines Partial Function has been run for Bridgeport Sound Tigers.
[2018-09-15 11:45:46] Auto Lines Partial Function has been run for New York Islanders.
[2018-09-15 11:45:46] Auto Roster Partial Function has been run for New York Islanders.
[2018-09-14 09:55:46] TRADE : From Minnesota Wild to New York Islanders : Y:15-RND:5-Min, Y:14-RND:6-Min.
[2018-09-14 09:55:46] TRADE : From New York Islanders to Minnesota Wild : Patrick Sharp.
[2018-09-14 09:54:32] TRADE : From New York Islanders to Detroit Red Wings : Y:15-RND:1-STL, Y:16-RND:3-Clb.
[2018-09-14 09:54:32] TRADE : From Detroit Red Wings to New York Islanders : Henrik Lundqvist.
[2018-09-13 09:53:20] Auto Lines Partial Function has been run for Bridgeport Sound Tigers.
[2018-09-13 09:53:20] Auto Roster Farm Only Function has been run for New York Islanders.
[2018-09-12 14:31:01] TRADE : From Dallas Stars to New York Islanders : Michael Dal Colle.
[2018-09-12 14:31:01] TRADE : From New York Islanders to Dallas Stars : Y:17-RND:2-NYI.
[2018-09-12 14:29:56] Successfully loaded New York Islanders lines done with STHS Client - 3.1.4.4
[2018-09-12 14:29:54] Ryan Carpenter of New York Islanders was sent down to farm.
[2018-09-09 07:39:24] Auto Lines Partial Function has been run for Bridgeport Sound Tigers.
[2018-09-09 07:39:24] Auto Lines Partial Function has been run for New York Islanders.
[2018-09-09 07:39:24] Auto Roster Partial Function has been run for New York Islanders.
[2018-09-08 14:26:17] TRADE : From Toronto Maple Leafs to New York Islanders : Blake Comeau.
[2018-09-08 14:26:17] TRADE : From New York Islanders to Toronto Maple Leafs : Y:18-RND:2-NYI.
[2018-09-08 14:25:46] Successfully loaded New York Islanders lines done with STHS Client - 3.1.4.4



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année 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
1350101120181802010100067-13000012012111718294700555415446524517178296611714428.57%16943.75%17917944.13%8418545.41%407652.63%13292118366432
Total Saison Régulière50101120181802010100067-13000012012111718294700555415446524517178296611714428.57%16943.75%17917944.13%8418545.41%407652.63%13292118366432