New York Islanders

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 17 | GA: 23 | PP%: 25.00% | PK%: 75.86%
DG: Pascal Labarre | Morale : 49 | Moyenne d'Équipe : 71
Prochain matchs #120 vs Columbus Blue Jackets
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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
1Mark StoneX100.007143878190859080588381827773814251770
2Evgeny KuznetsovX100.006042758381868982788676598073706851740
3Anders LeeXX100.007853757790829576607182587977894051730
4Adam HenriqueX100.006738877374819572807373817277725251720
5James van RiemsdykX100.005837857787817976527183598078747351710
6Tyler BozakX100.006238856977828568847666716782762651690
7Pat MaroonX100.008474676688778764537267636879743851680
8Austin WatsonX100.009065596587725964566268836673687151670
9Ryan CarpenterX100.008236906574738164766362726275683651660
10Tyler PitlickX100.008236856780766065536466766375696551660
11Rocco GrimaldiX100.005438926562696863526462616571667351620
12John CarlsonX100.006039827987929378308974856177706551770
13Josh MansonX100.008854666487898763307461825375684251730
14Danny DeKeyserX100.007848776682887364307265835277723651720
15Torey KrugX100.006947807867868277308871635675705651710
16Brandon ManningX100.008257706678775264307165705377693651670
17Scott HarringtonX100.007343866382738662307259715271666751670
Rayé
1Joonas DonskoiX82.055736877072749369537268647173715241670
2Eric GrybaX100.006841775991846657305653684579715243650
MOYENNE D'ÉQUIPE99.05724680708180806951736971647672525070
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
1Ben Bishop100.00979189989695979695979682873851920
2David Rittich100.00869189858584868584868573774251820
Rayé
MOYENNE D'ÉQUIPE100.0092918992919092919092917882405187
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes83808081666281USA4425,200,000$


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
1Tyler BozakNew York IslandersC7246-100011156613.33%010014.400221170000130052.76%12700001.1900000100
2John CarlsonNew York IslandersD70550406138790.00%1017625.25022622000023000.00%000000.5700000000
3Mark StoneNew York IslandersRW7325-120132222112113.64%116223.221232200000281041.54%6500000.6200000100
4James van RiemsdykNew York IslandersLW7235-40068222169.09%013419.18123221000114000.00%900000.7400000010
5Adam HenriqueNew York IslandersC7224-22014192061810.00%210014.3300011000011053.72%12100000.8000000001
6Danny DeKeyserNew York IslandersD7314-36057212814.29%715021.452131317000019000.00%000000.5300000010
7Evgeny KuznetsovNew York IslandersC7224-2003201771611.76%016824.061123200001280060.00%16000000.4800000000
8Torey KrugNew York IslandersD713401001910102510.00%416523.68101821000010000.00%000000.4800000000
9Austin WatsonNew York IslandersLW7123-112020516186.25%07610.8900001000030064.29%1400000.7900000000
10Anders LeeNew York IslandersLW/RW7112160163122118.33%111516.5400001000111033.33%900000.3500000001
11Josh MansonNew York IslandersD7022-310016115880.00%414921.39011417000018000.00%000000.2700000000
12Joonas DonskoiNew York IslandersRW7011-2002415170.00%010515.13000117000000028.57%700000.1900000000
13Scott HarringtonNew York IslandersD7011-320733240.00%68812.600000000000000.00%000000.2300000000
14Pat MaroonNew York IslandersLW7011-1201145440.00%18612.41000217000000037.50%800000.2300000000
15Brandon ManningNew York IslandersD7000-2601567250.00%1111115.8700011000121000.00%000000.0000000000
16Ryan CarpenterNew York IslandersC7000-100673230.00%0537.6200000000000048.08%5200000.0000000000
17Tyler PitlickNew York IslandersC7000-1006944100.00%0537.6200000000000050.00%200000.0000000000
18Rocco GrimaldiNew York IslandersC7000-100112310.00%0537.620000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne126173047-27620166163207721608.21%47205216.29611174419900041853051.92%57400000.4600000222
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
1Ben BishopNew York Islanders73400.8693.2842100231760000.000070000
Stats d'équipe Total ou en Moyenne73400.8693.2842100231760000.000070000


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 Link
Adam HenriqueNew York IslandersC291990-02-06No197 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Anders LeeNew York IslandersLW/RW291990-07-03No231 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Austin WatsonNew York IslandersLW271992-01-13No204 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$500,000$454,545$NoLien
Ben BishopNew York IslandersG321986-11-21No215 Lbs6 ft7NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,545,455$NoLien
Brandon ManningNew York IslandersD291990-06-04No205 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,849,068$1,849,068$1,680,971$NoLien
Danny DeKeyserNew York IslandersD291990-03-07No192 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
David RittichNew York IslandersG261992-08-19No206 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Eric GrybaNew York IslandersD311988-04-14No222 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm500,000$500,000$454,545$NoLien
Evgeny KuznetsovNew York IslandersC271992-05-19No204 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
James van RiemsdykNew York IslandersLW301989-05-04No217 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
John CarlsonNew York IslandersD291990-01-10No218 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$5,909,091$NoLien
Joonas Donskoi (Sur la Masse Salariale)New York IslandersRW271992-04-13No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$YesLien
Josh MansonNew York IslandersD271991-10-07No216 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Mark StoneNew York IslandersRW271992-05-13No219 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Pat MaroonNew York IslandersLW311988-04-23No225 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Rocco GrimaldiNew York IslandersC261993-02-08No180 Lbs5 ft6NoNoNo4Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Ryan CarpenterNew York IslandersC281991-01-18No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$500,000$454,545$NoLien
Scott HarringtonNew York IslandersD261993-03-10No207 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Torey KrugNew York IslandersD281991-04-12No186 Lbs5 ft9NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$3,181,818$NoLien
Tyler BozakNew York IslandersC331986-03-19No199 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,272,727$NoLien
Tyler PitlickNew York IslandersC271991-11-01No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$272,727$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.48206 Lbs6 ft22.102,302,337$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
48,349,068$26,249,068$21,449,068$10,300,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeEvgeny KuznetsovMark Stone42113
2James van RiemsdykAdam Henrique32113
3Pat MaroonTyler BozakAustin Watson18131
4Tyler PitlickRyan CarpenterRocco Grimaldi8131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugJohn Carlson40122
2Josh MansonDanny DeKeyser30122
3Brandon ManningScott Harrington20122
4Torey KrugJohn Carlson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James van RiemsdykEvgeny KuznetsovMark Stone60104
2Pat MaroonTyler Bozak40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugJohn Carlson60113
2Josh MansonDanny DeKeyser40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark StoneEvgeny Kuznetsov60131
2Tyler BozakJames van Riemsdyk40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon ManningJohn Carlson60140
2Josh MansonDanny DeKeyser40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mark Stone60140Torey KrugJohn Carlson60140
2Austin Watson40130Josh MansonDanny DeKeyser40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mark StoneEvgeny Kuznetsov60122
2Austin WatsonJames van Riemsdyk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugJohn Carlson60122
2Josh MansonDanny DeKeyser40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James van RiemsdykEvgeny KuznetsovMark StoneTorey KrugJohn Carlson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James van RiemsdykEvgeny KuznetsovMark StoneTorey KrugJohn Carlson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Evgeny Kuznetsov, Mark Stone, Evgeny Kuznetsov, Mark StoneAustin Watson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Carlson, Torey Krug, Josh MansonBrandon ManningTorey Krug, Josh Manson
Tirs de Pénalité
Mark Stone, Evgeny Kuznetsov, James van Riemsdyk, Adam Henrique, Tyler Bozak
Gardien
#1 : Ben Bishop, #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
1Carolina Hurricanes1010000013-2000000000001010000013-200.00011200001024191402996134125.00%30100.00%011824148.96%11922353.36%6110657.55%2316237126
2Edmonton Oilers1010000013-21010000013-20000000000000.0001230010003218860264823500.00%40100.00%011824148.96%11922353.36%6110657.55%2416237126
3Florida Panthers11000000321110000003210000000000021.00036900111019685018562411100.00%2150.00%011824148.96%11922353.36%6110657.55%2214227147
4St. Louis Blues1010000046-21010000046-20000000000000.000461000220027111060307123722100.00%6183.33%011824148.96%11922353.36%6110657.55%2518227125
Total724010001723-6523000001217-52010100056-160.4291730470068212076573663176476216624625.00%29775.86%011824148.96%11922353.36%6110657.55%173121159518945
6Washington Capitals1010000025-31010000025-30000000000000.00024600110036111411038916244125.00%7357.14%011824148.96%11922353.36%6110657.55%2316247115
7Winnipeg Jets21001000642110000002111000100043141.00061117001401691824243351314458112.50%7271.43%011824148.96%11922353.36%6110657.55%543843142412
_Since Last GM Reset724010001723-6523000001217-52010100056-160.4291730470068212076573663176476216624625.00%29775.86%011824148.96%11922353.36%6110657.55%173121159518945
_Vs Conference31200000610-42110000057-21010000013-220.33361117002220791831300852328619333.33%12466.67%011824148.96%11922353.36%6110657.55%694770223920
_Vs Division2020000038-51010000025-31010000013-200.000358001110601223250671822378225.00%10370.00%011824148.96%11922353.36%6110657.55%473348152412

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76OTW1173047207176476216600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
72410001723
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001217
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201100056
Derniers 10 Matchs
WLOTWOTL SOWSOL
241000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24625.00%29775.86%0
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
65736636821
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
11824148.96%11922353.36%6110657.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
173121159518945


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
3 - 2019-09-0415Washington Capitals5New York Islanders2LSommaire du Match
5 - 2019-09-0633Winnipeg Jets1New York Islanders2WSommaire du Match
7 - 2019-09-0837Edmonton Oilers3New York Islanders1LSommaire du Match
10 - 2019-09-1160New York Islanders1Carolina Hurricanes3LSommaire du Match
11 - 2019-09-1268Florida Panthers2New York Islanders3WSommaire du Match
13 - 2019-09-1481St. Louis Blues6New York Islanders4LSommaire du Match
16 - 2019-09-17102New York Islanders4Winnipeg Jets3WXSommaire du Match
18 - 2019-09-19120New York Islanders-Columbus Blue Jackets-
23 - 2019-09-24146Phoenix Coyotes-New York Islanders-
24 - 2019-09-25158New York Islanders-Ottawa Senators-
26 - 2019-09-27174Philadelphia Flyers-New York Islanders-
31 - 2019-10-02197Tampa Bay Lightning-New York Islanders-
32 - 2019-10-03208New York Islanders-Buffalo Sabres-
35 - 2019-10-06225Ottawa Senators-New York Islanders-
37 - 2019-10-08239Pittsburgh Penguins-New York Islanders-
39 - 2019-10-10252Florida Panthers-New York Islanders-
43 - 2019-10-14282Toronto Maple Leafs-New York Islanders-
46 - 2019-10-17307New York Islanders-Philadelphia Flyers-
49 - 2019-10-20321New York Islanders-Pittsburgh Penguins-
51 - 2019-10-22335Pittsburgh Penguins-New York Islanders-
53 - 2019-10-24361New York Islanders-San Jose Sharks-
55 - 2019-10-26372New York Islanders-Anaheim Ducks-
57 - 2019-10-28388New York Islanders-Los Angeles Kings-
60 - 2019-10-31410Columbus Blue Jackets-New York Islanders-
62 - 2019-11-02421New York Islanders-Detroit Red Wings-
63 - 2019-11-03425New York Islanders-Montreal Canadiens-
65 - 2019-11-05441Vegas Golden Knights-New York Islanders-
67 - 2019-11-07461New York Islanders-Dallas Stars-
69 - 2019-11-09468New York Islanders-Tampa Bay Lightning-
72 - 2019-11-12489New York Islanders-Florida Panthers-
74 - 2019-11-14502Buffalo Sabres-New York Islanders-
77 - 2019-11-17527Nashville Predators-New York Islanders-
79 - 2019-11-19538New York Islanders-Boston Bruins-
81 - 2019-11-21553Anaheim Ducks-New York Islanders-
83 - 2019-11-23573Columbus Blue Jackets-New York Islanders-
87 - 2019-11-27589New York Islanders-Chicago Blackhawks-
89 - 2019-11-29605New York Islanders-Minnesota Wild-
91 - 2019-12-01614New York Islanders-Washington Capitals-
93 - 2019-12-03630New Jersey Devils-New York Islanders-
95 - 2019-12-05646New York Islanders-Toronto Maple Leafs-
97 - 2019-12-07661Colorado Avalanche-New York Islanders-
98 - 2019-12-08665New York Islanders-New Jersey Devils-
102 - 2019-12-12694Boston Bruins-New York Islanders-
104 - 2019-12-14710New York Islanders-New York Rangers-
105 - 2019-12-15717Detroit Red Wings-New York Islanders-
107 - 2019-12-17730New York Rangers-New York Islanders-
109 - 2019-12-19743Washington Capitals-New York Islanders-
110 - 2019-12-20756New York Islanders-Carolina Hurricanes-
112 - 2019-12-22762New York Islanders-New York Rangers-
123 - 2020-01-02793Vancouver Canucks-New York Islanders-
126 - 2020-01-05816Dallas Stars-New York Islanders-
128 - 2020-01-07831Los Angeles Kings-New York Islanders-
130 - 2020-01-09847New York Islanders-Tampa Bay Lightning-
132 - 2020-01-11862New York Islanders-Washington Capitals-
133 - 2020-01-12869Philadelphia Flyers-New York Islanders-
135 - 2020-01-14886New York Islanders-Nashville Predators-
137 - 2020-01-16905New York Islanders-Vegas Golden Knights-
139 - 2020-01-18917New York Islanders-Phoenix Coyotes-
141 - 2020-01-20931New York Islanders-Colorado Avalanche-
143 - 2020-01-22941Detroit Red Wings-New York Islanders-
145 - 2020-01-24962San Jose Sharks-New York Islanders-
147 - 2020-01-26971New York Rangers-New York Islanders-
149 - 2020-01-28990New York Islanders-St. Louis Blues-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30999Boston Bruins-New York Islanders-
154 - 2020-02-021020Montreal Canadiens-New York Islanders-
156 - 2020-02-041038New York Islanders-Ottawa Senators-
158 - 2020-02-061049Carolina Hurricanes-New York Islanders-
161 - 2020-02-091077New York Islanders-Vancouver Canucks-
163 - 2020-02-111091New York Islanders-Calgary Flames-
164 - 2020-02-121097New York Islanders-Edmonton Oilers-
166 - 2020-02-141115New York Islanders-Pittsburgh Penguins-
168 - 2020-02-161124Calgary Flames-New York Islanders-
170 - 2020-02-181137New York Islanders-Toronto Maple Leafs-
172 - 2020-02-201157New York Islanders-New Jersey Devils-
173 - 2020-02-211166Carolina Hurricanes-New York Islanders-
175 - 2020-02-231179New York Islanders-Philadelphia Flyers-
177 - 2020-02-251193Buffalo Sabres-New York Islanders-
179 - 2020-02-271208New York Islanders-Montreal Canadiens-
181 - 2020-02-291226New York Islanders-Columbus Blue Jackets-
182 - 2020-03-011229Minnesota Wild-New York Islanders-
184 - 2020-03-031245Chicago Blackhawks-New York Islanders-
186 - 2020-03-051266New Jersey Devils-New York Islanders-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance28,29324,0109,42019,9474,770
Attendance PCT94.31%96.04%94.20%99.74%95.40%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 17288 - 96.04% 607,159$3,035,795$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
4,864,893$ 48,049,068$ 20,399,998$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
48,049,068$ 4,392,159$ 0$ 20 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
21,857,724$ 170 284,754$ 48,408,180$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
48,590,667$ 48,049,068$ 52,875,500$ 26,142,557$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Anders LeeAGE:29PO:40OV:73
James van RiemsdykAGE:30PO:73OV:71
Pat MaroonAGE:31PO:38OV:68
Austin WatsonAGE:27PO:71OV:67
Matt MartinAGE:30PO:44OV:63
Harry ZolnierczykAGE:31PO:53OV:62
*Maxim LetunovAGE:23PO:62OV:60
Markus HannikainenAGE:26PO:42OV:60
Matthew HighmoreAGE:23PO:62OV:59
Cody McLeodAGE:35PO:25OV:58
Ryan KuffnerAGE:23PO:48OV:54
Evgeny KuznetsovAGE:27PO:68OV:74
Adam HenriqueAGE:29PO:52OV:72
Tyler BozakAGE:33PO:26OV:69
Tyler PitlickAGE:27PO:65OV:66
Ryan CarpenterAGE:28PO:36OV:66
Rocco GrimaldiAGE:26PO:73OV:62
Turner ElsonAGE:26PO:58OV:61
*Maxim LetunovAGE:23PO:62OV:60
Radel FazleevAGE:23PO:62OV:55
Mark StoneAGE:27PO:42OV:77
Anders LeeAGE:29PO:40OV:73
Joonas DonskoiAGE:27PO:52OV:67
Andrew PoturalskiAGE:25PO:60OV:63
Matt MartinAGE:30PO:44OV:63
Chris ConnerAGE:35PO:49OV:62
*Maxim LetunovAGE:23PO:62OV:60
Spencer FooAGE:25PO:60OV:60
Daniel CiampiniAGE:28PO:52OV:55

Défense #1Défense #2Gardien
John CarlsonAGE:29PO:65OV:77
Josh MansonAGE:27PO:42OV:73
Danny DeKeyserAGE:29PO:36OV:72
Torey KrugAGE:28PO:56OV:71
Scott HarringtonAGE:26PO:67OV:67
Brandon ManningAGE:29PO:36OV:67
Eric GrybaAGE:31PO:52OV:65
Nick DeSimoneAGE:24PO:60OV:64
Evan McEnenyAGE:25PO:62OV:63
Aaron NessAGE:29PO:61OV:62
Ryan StantonAGE:29PO:55OV:62
Niko MikkolaAGE:23PO:62OV:61
Joel HanleyAGE:28PO:47OV:61
Nelson NogierAGE:23PO:61OV:59
Ben BishopAGE:32PO:38OV:92
David RittichAGE:26PO:42OV:82
Dustin TokarskiAGE:29PO:48OV:74
Harri SateriAGE:29PO:43OV:72
Kevin LankinenAGE:24PO:52OV:70
Matthew O'ConnorAGE:27PO:46OV:70
Eddie LackAGE:31PO:42OV:67

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
Alex Kannok-LeipertNew York Islanders14181
Andrew DesjardinsNew York Islanders
Andrew O'BrienNew York Islanders
Arnaud DurandeauNew York Islanders13177
Branden TroockNew York Islanders
Cedric PareNew York Islanders13185
Connor CorcoranNew York Islanders14174
Damian GirouxNew York Islanders14154
David BrollNew York Islanders
Jake McGrewNew York Islanders13151
Jordan Samuels-ThomasNew York Islanders
Mason McDonaldNew York Islanders
Max FribergNew York Islanders
Oliver WahlstromNew York Islanders1411
Patrick MaroonNew York Islanders
Patrick WierciochNew York Islanders
Pontus HolmbergNew York Islanders14156
Ryan RupertNew York Islanders

Choix au Repêchage

Année R1R2R3R4R5R6
15MTL NYR
16NYI NYI
17NYI NYI NYI Bos NYI NYI Chi
18NYI NYI NYI Min NYI NYI
19NYI NYI NYI NYI NYI NYI



[2019-08-19 20:53:18] - Niko Mikkola was added to New York Islanders.
[2019-08-19 20:51:29] - TRADE : From New York Islanders to New Jersey Devils : Y:15-RND:5-Min.
[2019-08-15 22:30:41] - TRADE : From New York Islanders to Chicago Blackhawks : Semyon Varlamov (87), Yanni Gourde (71).
[2019-08-15 22:30:41] - TRADE : From Chicago Blackhawks to New York Islanders : Adam Henrique (72), Ben Bishop (92).
[2019-08-15 21:30:30] - Kevin Lankinen was added to New York Islanders.
[2019-08-15 21:29:59] - Nick DeSimone was added to New York Islanders.
[2019-08-15 21:26:23] - TRADE : From New York Islanders to Phoenix Coyotes : Y:15-RND:4-New.
[2019-08-07 07:47:38] - TRADE : From New York Islanders to Boston Bruins : Roman Josi (77).
[2019-08-07 07:47:38] - TRADE : From Boston Bruins to New York Islanders : Torey Krug (71), Semyon Varlamov (87).
[2019-08-07 07:41:20] - TRADE : From Nashville Predators to New York Islanders : Anders Lee (73).
[2019-08-02 11:41:49] - Ryan Kuffner was added to New York Islanders.
[2019-07-29 15:33:32] - Sound Tigers hired Todd Richards for 100 000 $ for 5 year(s).
[2019-07-29 15:33:03] - Sound Tigers fired Dallas Eakins.
[2019-07-29 15:32:58] - TRADE : From Chicago Blackhawks to New York Islanders : Y:17-RND:6-Chi.
[2019-07-28 16:45:54] - TRADE : From New York Islanders to Winnipeg Jets : Zach Bogosian (71).
[2019-07-28 16:44:40] - TRADE : From Vegas Golden Knights to New York Islanders : Brandon Manning (67).
[2019-07-28 16:42:54] - TRADE : From New York Islanders to Dallas Stars : Michael Raffl (66).
[2019-07-28 16:41:43] - TRADE : From Buffalo Sabres to New York Islanders : Eddie Lack (67).
[2019-07-26 09:01:55] - New York Islanders drafts Alex Kannok-Leipert as the #181 overall pick in the Entry Draft of year 14.
[2019-07-26 09:01:06] - New York Islanders drafts Connor Corcoran as the #174 overall pick in the Entry Draft of year 14.
[2019-07-17 08:58:47] - New York Islanders drafts Pontus Holmberg as the #156 overall pick in the Entry Draft of year 14.
[2019-07-16 09:10:18] - New York Islanders drafts Damian Giroux as the #154 overall pick in the Entry Draft of year 14.
[2019-07-04 11:08:27] - TRADE : From New York Islanders to Boston Bruins : Y:16-RND:2-MTL.
[2019-07-04 11:08:27] - TRADE : From Boston Bruins to New York Islanders : Y:17-RND:4-Bos.
[2019-07-04 10:56:08] - TRADE : From New York Islanders to Florida Panthers : Y:16-RND:2-Chi.
[2019-07-02 12:47:49] - TRADE : From Calgary Flames to New York Islanders : Y:14-RND:5-Was.
[2019-07-02 12:47:49] - TRADE : From New York Islanders to Calgary Flames : Loui Eriksson (68).
[2019-07-02 10:42:34] - TRADE : From New York Islanders to Toronto Maple Leafs : Philipp Grubauer (83).
[2019-06-28 15:31:49] - TRADE : From New York Islanders to Boston Bruins : Torey Krug (71), Semyon Varlamov (87).
[2019-06-28 15:31:49] - TRADE : From Boston Bruins to New York Islanders : Roman Josi (77), Y:16-RND:2-MTL.
[2019-06-28 14:59:40] - TRADE : From New York Islanders to Boston Bruins : Roman Josi (78), Y:16-RND:2-MTL.
[2019-06-28 14:59:40] - TRADE : From Boston Bruins to New York Islanders : Torey Krug (71), Semyon Varlamov (87).
[2019-06-20 16:44:01] - Pat Maroon was added to New York Islanders.
[2019-06-20 15:13:52] - TRADE : From New York Islanders to Nashville Predators : Anders Lee (73).



[2019-10-17 15:56:01] Game 102 - Joonas Donskoi from New York Islanders is injured (Abdominal Strain) and is out for 1 week.
[2019-10-10 07:43:06] Successfully loaded New York Islanders lines done with STHS Client - 3.1.5.5
[2019-10-02 12:39:29] Successfully loaded New York Islanders lines done with STHS Client - 3.1.9.9
[2019-09-19 05:22:05] Successfully loaded New York Islanders lines done with STHS Client - 3.1.9.9
[2019-09-19 05:22:05] Rocco Grimaldi of New York Islanders was sent to pro.
[2019-09-09 11:05:44] Joonas Donskoi from New York Islanders has scored a Hat Trick!
[2019-09-07 09:57:38] Auto Lines Partial Function has been run for Sound Tigers.
[2019-09-07 09:57:38] Auto Roster Function has been run for New York Islanders.
[2019-09-07 09:57:38] Dustin Tokarski of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Kevin Lankinen of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Matt Martin of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Nick DeSimone of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Niko Mikkola of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Maxim Letunov of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Cody McLeod of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Ryan Kuffner of New York Islanders was sent to farm.
[2019-09-07 09:57:38] Auto Roster Partial Function has been run for New York Islanders.



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
14724010001723-6523000001217-52010100056-161730470068212076573663176476216624625.00%29775.86%011824148.96%11922353.36%6110657.55%173121159518945
Total Saison Régulière724010001723-6523000001217-52010100056-161730470068212076573663176476216624625.00%29775.86%011824148.96%11922353.36%6110657.55%173121159518945