Islanders

GP: 82 | W: 36 | L: 35 | OTL: 11 | P: 83
GF: 235 | GA: 245 | PP%: 21.33% | PK%: 78.99%
DG: Libre | Morale : 27 | Moyenne d'Équipe : 65
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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
1Ryan Dzingel (R)X100.006845797572849478667380756578574454720
2Jared McCann (R)X100.006741757174829170827370756070538148690
3Kevin Labanc (R)X100.006535697669819575637669726059584872690
4Frank Vatrano (R)X100.007535747170829470636673755872534248680
5Connor Brown (R)X100.005437907372759869696667755673554646670
6Colin White (R)X100.005935767371858472827368706054518248670
7Casey Mittelstadt (R)X100.006035756878829067746667676153518749650
8William Carrier (R)X100.009941716583746764506166655568606446640
9Darren Archibald (R)X100.005977636985535669506565745152513653630
10Tanner Kero (R)X100.004931877271667362735959775965695548630
11Anders Bjork (R)X100.005435886872736865636663635168535448620
12Kyle Rau (R)X100.005235676864636968706564645064515425610
13Derrick Pouliot (R)X100.006741856175868798309290747178738255750
14Brenden Dillon (R)X100.008438686691819566307168856372713346730
15John MooreX100.007543866577789776307180856771626751730
16Nick Jensen (R)X100.006741826673849366306963735864534442670
17Anthony Bitetto (R)X100.008135756379756877306469615868674048660
18Maxime Lajoie (R)X100.006235776674817266306666665265515825640
Rayé
1Andrew Miller (R)X100.007275606766636763597062616375716220620
2Ben Street (R)X100.005635746872616068806263646677745220620
3Saku Maenalanen (R)X100.006635706688636765546162635751505619610
4Alexander Nylander (R)X100.005135716976565669546363645351508719600
5Juho Lammikko (R)X100.006135736679647065636159625261506620600
6Eric Robinson (R)X100.005935726880565667506161615251504320590
7Eeli Tolvanen (R)X100.005135676969525269506262625150508020590
8Riley Barber (R)X100.004028876673414451304448535561537720510
9Markus Nutivaara (R)X100.006735816876819366306863656058534719650
10Justin Holl (R)X100.006035776287725562306460695051506020620
11Oliver Kylington (R)X100.005535756771656967306463645752506820610
12Josh Jacobs (R)X100.005535635880495058305252525050507420530
MOYENNE D'ÉQUIPE100.00633975687670746852666668576356603664
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
1Mike Condon (R)100.00798883777895939299828478693548830
2Harri Sateri (R)100.00747792788092828181725174654748770
Rayé
1Brandon Halverson (R)100.00705884817787727272665065596820710
MOYENNE D'ÉQUIPE100.0074748679789182828473627264503977
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella65717162999971USA611800,000$


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'ÉquipePOSGP 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
1Ryan Dzingel Islanders (NYI)LW78364177-158101941703049317211.84%64171822.031715326427222442821543.91%3945727100.9019101666
2Colin WhiteIslanders (NYI)C8227437020600130202274901439.85%33142717.4171118292180000159153.86%15154624000.9800000334
3Kevin LabancIslanders (NYI)RW8028416969401941272466713811.38%37146718.351317303323821341324250.41%1234324110.9413000454
4Derrick PouliotIslanders (NYI)D82184967-9331513116423375867.73%98200724.48131831433090338320310.00%06859000.6703201222
5Frank Vatrano Islanders (NYI)LW82293160146202551342467613311.79%39156119.058111930219101612910248.19%834226010.7724000862
6Jared McCannIslanders (NYI)C82144559-4781017523618638927.53%29164720.10624302427800071550253.11%20602020000.7237110126
7Connor BrownIslanders (NYI)RW822332551918101101132197211810.50%24138916.95591427218000033349.40%834518000.7903011314
8John MooreIslanders (NYI)D8212526-133517116312161420.83%108188823.04077112500223252000.00%03854000.2801100013
9Brenden DillonIslanders (NYI)D8232225-14136102301699227453.26%106186722.7811112132490002233000.00%02838000.2701011110
10Casey MittelstadtIslanders (NYI)C82111425-9431511113816529896.67%2096011.72000210000021347.25%6372812000.5211111002
11William CarrierIslanders (NYI)LW8251722-458101797712044644.17%20102912.550000130002421138.46%262019000.4300011122
12Darren ArchibaldIslanders (NYI)RW8271219-125715766813345845.26%257479.1101100000040039.13%232213000.5100102001
13Nick JensenIslanders (NYI)D8281119052101231479230238.70%76173221.1320291940002193120.00%01763000.2200020110
14Anthony BitettoIslanders (NYI)D82210129380144896917282.90%69118714.4800007000013000.00%01734100.2000000100
15Anders BjorkIslanders (NYI)RW82639-94028579129516.59%166998.5300013000012042.31%262011000.2600000010
16Maxime LajoieIslanders (NYI)D4615681605453451392.22%3169415.1000000000133000.00%01319000.1700000001
17Tanner Kero Islanders (NYI)C82336-102027915323315.66%176618.070000010111131153.50%2431014000.1800000000
18Markus NutivaaraIslanders (NYI)D380554120345724390.00%3755814.7000000011037000.00%0716000.1801000000
19Kyle RauIslanders (NYI)LW30011-88028262616210.00%72518.390000000013000100.00%483000.0800000000
20Alexander NylanderIslanders (NYI)LW18101-28016720675.00%21337.42000000000130025.00%441000.1500000000
21Saku MaenalanenIslanders (NYI)LW38101-48037612998.33%32406.3200000000000033.33%335000.0800000000
Stats d'équipe Total ou en Moyenne1476224410634-787811024472294277186313948.08%8612387316.177212419628624866915412012362351.55%5224556500320.53833778313137
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
1Harri SateriIslanders (NYI)572123110.9162.723285211491776764410.500345329471
2Mike CondonIslanders (NYI)30151200.9003.1516744088877367101.00032953311
Stats d'équipe Total ou en Moyenne873635110.9112.8749606123726531131510.541378282782


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander NylanderIslanders (NYI)LW221998-03-02 09:06:12Yes192 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$No
Anders BjorkIslanders (NYI)RW231996-08-05 11:08:17Yes190 Lbs6 ft0NoNoNo2Pro & Farm1,066,670$0$0$No1,066,670$
Andrew MillerIslanders (NYI)C311988-09-18 05:11:13Yes184 Lbs5 ft10NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Anthony BitettoIslanders (NYI)D291990-07-15 17:11:13Yes210 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Ben StreetIslanders (NYI)C331987-02-13 23:11:13Yes190 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Brandon HalversonIslanders (NYI)G241996-03-29 13:44:02Yes209 Lbs6 ft4NoNoNo2Pro & Farm894,167$0$0$No894,167$
Brenden DillonIslanders (NYI)D291990-11-13 12:29:45Yes227 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Casey MittelstadtIslanders (NYI)C211998-11-22 04:56:42Yes202 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Colin WhiteIslanders (NYI)C231997-01-30 09:13:28Yes183 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Connor BrownIslanders (NYI)RW261994-01-14 07:19:38Yes183 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Darren ArchibaldIslanders (NYI)RW301990-02-09 03:35:07Yes210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Derrick PouliotIslanders (NYI)D261994-01-16 17:11:13Yes208 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Eeli TolvanenIslanders (NYI)RW211999-04-22 05:04:42Yes191 Lbs5 ft10NoNoNo3Pro & Farm2,145,833$0$0$No2,145,833$2,145,833$
Eric Robinson Islanders (NYI)LW241995-06-14 07:53:01Yes200 Lbs6 ft2NoNoNo3Pro & Farm874,125$0$0$No874,125$874,125$
Frank Vatrano Islanders (NYI)LW261994-03-14 19:56:56Yes201 Lbs5 ft9NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Harri SateriIslanders (NYI)G301989-12-29 07:21:10Yes205 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Jared McCannIslanders (NYI)C231996-05-31 05:11:13Yes185 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
John MooreIslanders (NYI)D291990-11-19 17:11:13No210 Lbs6 ft2NoNoNo2Pro & Farm1,850,000$0$0$No1,850,000$
Josh JacobsIslanders (NYI)D241996-02-15 05:06:57Yes200 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Juho LammikkoIslanders (NYI)LW241996-01-29 04:59:04Yes191 Lbs6 ft2NoNoNo3Pro & Farm717,500$0$0$No717,500$717,500$
Justin HollIslanders (NYI)D281992-01-30 03:50:34Yes205 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$
Kevin LabancIslanders (NYI)RW241995-12-12 09:47:24Yes185 Lbs5 ft11NoNoNo1Pro & Farm717,500$0$0$No
Kyle RauIslanders (NYI)LW271992-10-24 08:23:57Yes176 Lbs5 ft8NoNoNo1Pro & Farm700,000$0$0$No
Markus NutivaaraIslanders (NYI)D251994-06-06 08:48:59Yes191 Lbs6 ft1NoNoNo1Pro & Farm817,500$0$0$No
Maxime LajoieIslanders (NYI)D221997-11-05 07:38:27Yes183 Lbs6 ft1NoNoNo3Pro & Farm790,000$0$0$No790,000$790,000$
Mike CondonIslanders (NYI)G301990-04-27 04:16:15Yes198 Lbs6 ft2NoNoNo1Pro & Farm2,500,000$0$0$No
Nick JensenIslanders (NYI)D291990-09-21 04:18:15Yes194 Lbs6 ft0NoNoNo1Pro & Farm812,500$0$0$No
Oliver KylingtonIslanders (NYI)D221997-05-19 11:11:13Yes183 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Riley BarberIslanders (NYI)RW261994-02-07 09:24:16Yes197 Lbs6 ft0NoNoNo1Pro & Farm692,500$0$0$No
Ryan Dzingel Islanders (NYI)LW281992-03-09 06:32:49Yes190 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Saku MaenalanenIslanders (NYI)LW251994-05-29 05:02:00Yes207 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Tanner Kero Islanders (NYI)C271992-07-24 19:58:52Yes185 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
William CarrierIslanders (NYI)LW251994-12-20 09:15:44Yes212 Lbs6 ft2NoNoNo1Pro & Farm689,167$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3325.94196 Lbs6 ft12.09985,201$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan Dzingel Jared McCannKevin Labanc35122
2Frank Vatrano Colin WhiteConnor Brown35122
3William CarrierCasey MittelstadtDarren Archibald25122
4Kyle RauTanner Kero Anders Bjork5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJohn Moore35122
2Brenden DillonNick Jensen35122
3Anthony BitettoMaxime Lajoie30122
4Derrick PouliotJohn Moore0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan Dzingel Jared McCannKevin Labanc60122
2Frank Vatrano Colin WhiteConnor Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJohn Moore60122
2Brenden DillonNick Jensen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Dzingel Kevin Labanc60122
2Jared McCannFrank Vatrano 40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJohn Moore60122
2Brenden DillonNick Jensen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Dzingel 60122Derrick PouliotJohn Moore60122
2Kevin Labanc40122Brenden DillonNick Jensen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Dzingel Kevin Labanc60122
2Jared McCannFrank Vatrano 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJohn Moore60122
2Brenden DillonNick Jensen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan Dzingel Jared McCannKevin LabancDerrick PouliotJohn Moore
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan Dzingel Jared McCannKevin LabancDerrick PouliotJohn Moore
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Casey Mittelstadt, William Carrier, Tanner Kero Casey Mittelstadt, William CarrierTanner Kero
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Bitetto, Maxime Lajoie, Brenden DillonAnthony BitettoMaxime Lajoie, Brenden Dillon
Tirs de Pénalité
Ryan Dzingel , Kevin Labanc, Jared McCann, Frank Vatrano , Connor Brown
Gardien
#1 : Mike Condon, #2 : Harri Sateri


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
1Avalanche211000005321010000012-11100000041320.50059140071808013769669249055677261454400.00%7185.71%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
2Blackhawks2010100056-1100010003211010000024-220.5005101500718080137596692490556782814606116.67%7357.14%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
3Blues211000007521010000012-11100000063320.500713200071808013729669249055667142666350.00%110.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
4Bruins513000011421-7312000001013-32010000148-430.300142438007180801317396692490556160646815818527.78%241058.33%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
5Canadiens41300000812-42020000037-42110000055020.250816240071808013139966924905561443832123600.00%16381.25%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
6Canucks2110000045-11010000024-21100000021120.50047110071808013719669249055673158475120.00%4175.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
7Capitals624000001523-831200000711-431200000812-440.333152641007180801320196692490556195688317335925.71%34876.47%11177221753.09%1055212749.60%603118550.89%1799103917627631409699
8Devils622000021723-632100000108230100002715-860.5001733500071808013204966924905561824912116941614.63%43588.37%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
9Ducks220000001046110000004221100000062441.000101929007180801373966924905565523660600.00%3233.33%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
10Flames211000007611010000023-11100000053220.50071219007180801380966924905566728650200.00%30100.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
11Flyers73001102262243100110010824200000216142110.7862644700071808013217966924905562417581215491020.41%37975.68%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
12Kings201000106601010000034-11000001032120.500610160071808013809669249055661271039300.00%4175.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
13Maple Leafs413000001113-2211000007612020000047-320.25011203101718080131359669249055613452361071300.00%18477.78%21177221753.09%1055212749.60%603118550.89%1799103917627631409699
14Oilers3020010069-31000010012-12020000057-210.167611170071808013110966924905561012721908225.00%8275.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
15Penguins6320100023185302010001112-133000000126680.6672338610071808013185966924905561886511120736925.00%431076.74%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
16Predators2020000035-21010000012-11010000023-100.00035800718080137796692490556632512664125.00%6183.33%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
17Rangers75100100261974300010014113321000001284110.78626457100718080132329669249055623573108199411024.39%44686.36%21177221753.09%1055212749.60%603118550.89%1799103917627631409699
18Red Wings4220000010100211000004402110000066040.50010172710718080131369669249055612543361399222.22%18194.44%11177221753.09%1055212749.60%603118550.89%1799103917627631409699
19Sabres41200001710-32010000125-32110000055030.37571219007180801313096692490556124413411513646.15%17288.24%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
20Senateurs411001011012-2210001005502010000157-240.500101626007180801313796692490556110362911523521.74%12375.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
21Sharks2110000034-1110000002111010000013-220.5003690071808013719669249055659206604250.00%30100.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
22Stars22000000734110000003121100000042241.000711180071808013639669249055666246517228.57%30100.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
Total82323503417235245-1041141903401108119-11411816000161271261830.5062354136481171808013281496692490556265487684824223477421.33%3577578.99%61177221753.09%1055212749.60%603118550.89%1799103917627631409699
24Wild2110000056-11010000024-21100000032120.5005914007180801377966924905564915459800.00%220.00%01177221753.09%1055212749.60%603118550.89%1799103917627631409699
_Since Last GM Reset82323503417235245-1041141903401108119-11411816000161271261830.5062354136481171808013281496692490556265487684824223477421.33%3577578.99%61177221753.09%1055212749.60%603118550.89%1799103917627631409699
_Vs Conference57222302307167183-16291112023018390-7281111000068493-9580.5091672914581171808013188996692490556183860473917202846221.83%3066180.07%61177221753.09%1055212749.60%603118550.89%1799103917627631409699
_Vs Division321590220410710521675022005250216840000455550400.625107186293007180801310399669249055610413305049632024421.78%2013881.09%31177221753.09%1055212749.60%603118550.89%1799103917627631409699

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8283W223541364828142654876848242211
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8232353417235245
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114193401108119
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4118160016127126
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3477421.33%3577578.99%6
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
9669249055671808013
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
1177221753.09%1055212749.60%603118550.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1799103917627631409699


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
1 - 2019-10-066Rangers3Islanders4WSommaire du Match
2 - 2019-10-079Islanders5Flyers6LXXSommaire du Match
5 - 2019-10-1025Islanders5Penguins3WR5Sommaire du Match
7 - 2019-10-1238Penguins5Islanders6WXSommaire du Match
11 - 2019-10-1657Islanders1Devils7LSommaire du Match
12 - 2019-10-1767Devils1Islanders3WSommaire du Match
15 - 2019-10-2081Bruins5Islanders4LR2Sommaire du Match
18 - 2019-10-2397Rangers1Islanders2WSommaire du Match
20 - 2019-10-25104Islanders5Flyers2WSommaire du Match
21 - 2019-10-26113Islanders2Capitals5LR5Sommaire du Match
24 - 2019-10-29127Capitals4Islanders2LSommaire du Match
25 - 2019-10-30134Islanders3Rangers4LSommaire du Match
28 - 2019-11-02151Islanders4Devils5LXXSommaire du Match
30 - 2019-11-04160Flyers3Islanders4WXSommaire du Match
34 - 2019-11-08181Capitals5Islanders1LR5Sommaire du Match
36 - 2019-11-10194Islanders2Maple Leafs3LSommaire du Match
37 - 2019-11-11200Islanders4Penguins2WR5Sommaire du Match
39 - 2019-11-13211Sharks1Islanders2WSommaire du Match
42 - 2019-11-16225Kings4Islanders3LSommaire du Match
44 - 2019-11-18237Islanders2Blackhawks4LSommaire du Match
46 - 2019-11-20245Islanders4Sabres3WR2Sommaire du Match
48 - 2019-11-22257Islanders2Canucks1WSommaire du Match
49 - 2019-11-23262Sabres2Islanders1LXXR2Sommaire du Match
52 - 2019-11-26275Islanders4Avalanche1WSommaire du Match
53 - 2019-11-27284Flyers2Islanders4WSommaire du Match
56 - 2019-11-30299Islanders3Kings2WXXSommaire du Match
58 - 2019-12-02306Wild4Islanders2LSommaire du Match
60 - 2019-12-04318Islanders1Sabres2LR2Sommaire du Match
62 - 2019-12-06327Islanders1Sharks3LSommaire du Match
64 - 2019-12-08333Canucks4Islanders2LSommaire du Match
66 - 2019-12-10345Islanders2Flyers3LXXSommaire du Match
68 - 2019-12-12357Bruins6Islanders1LR2Sommaire du Match
71 - 2019-12-15376Rangers3Islanders2LXSommaire du Match
73 - 2019-12-17383Islanders3Wild2WSommaire du Match
75 - 2019-12-19397Islanders6Ducks2WSommaire du Match
76 - 2019-12-20404Maple Leafs0Islanders3WR2Sommaire du Match
80 - 2019-12-24423Islanders3Capitals1WR5Sommaire du Match
81 - 2019-12-25429Predators2Islanders1LSommaire du Match
84 - 2019-12-28445Islanders2Senateurs3LR2Sommaire du Match
86 - 2019-12-30454Avalanche2Islanders1LSommaire du Match
88 - 2020-01-01466Islanders4Flyers3WSommaire du Match
90 - 2020-01-03478Penguins5Islanders4LR5Sommaire du Match
93 - 2020-01-06491Islanders6Blues3WSommaire du Match
95 - 2020-01-08503Capitals2Islanders4WR5Sommaire du Match
97 - 2020-01-10513Islanders4Stars2WSommaire du Match
99 - 2020-01-12521Islanders3Senateurs4LXXR2Sommaire du Match
100 - 2020-01-13527Penguins2Islanders1LR5Sommaire du Match
103 - 2020-01-16545Islanders2Devils3LXXSommaire du Match
104 - 2020-01-17551Maple Leafs6Islanders4LR2Sommaire du Match
108 - 2020-01-21574Devils2Islanders3WSommaire du Match
111 - 2020-01-24591Rangers4Islanders6WSommaire du Match
113 - 2020-01-26600Islanders4Rangers3WSommaire du Match
117 - 2020-01-30619Blues2Islanders1LSommaire du Match
119 - 2020-02-01627Islanders5Rangers1WSommaire du Match
121 - 2020-02-03641Islanders2Canadiens4LR2Sommaire du Match
122 - 2020-02-04646Oilers2Islanders1LXSommaire du Match
126 - 2020-02-08665Stars1Islanders3WSommaire du Match
128 - 2020-02-10678Islanders1Bruins4LR2Sommaire du Match
130 - 2020-02-12685Islanders3Capitals6LR5Sommaire du Match
131 - 2020-02-13693Sabres3Islanders1LSommaire du Match
134 - 2020-02-16713Ducks2Islanders4WSommaire du Match
136 - 2020-02-18722Islanders2Maple Leafs4LR2Sommaire du Match
139 - 2020-02-21737Devils5Islanders4LSommaire du Match
141 - 2020-02-23746Islanders2Predators3LSommaire du Match
143 - 2020-02-25761Bruins2Islanders5WR2Sommaire du Match
146 - 2020-02-28771Islanders3Oilers4LSommaire du Match
148 - 2020-03-01784Flyers3Islanders2LXSommaire du Match
151 - 2020-03-04800Islanders5Flames3WSommaire du Match
153 - 2020-03-06809Canadiens4Islanders2LR2Sommaire du Match
155 - 2020-03-08820Islanders3Bruins4LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
156 - 2020-03-09826Islanders3Penguins1WR5Sommaire du Match
158 - 2020-03-11838Red Wings3Islanders1LR2Sommaire du Match
161 - 2020-03-14854Senateurs3Islanders2LXSommaire du Match
165 - 2020-03-18875Islanders3Canadiens1WR2Sommaire du Match
166 - 2020-03-19883Flames3Islanders2LSommaire du Match
169 - 2020-03-22893Islanders2Oilers3LSommaire du Match
171 - 2020-03-24905Canadiens3Islanders1LR2Sommaire du Match
176 - 2020-03-29929Blackhawks2Islanders3WXSommaire du Match
179 - 2020-04-01944Red Wings1Islanders3WR2Sommaire du Match
182 - 2020-04-04956Islanders3Red Wings4LSommaire du Match
185 - 2020-04-07966Islanders3Red Wings2WR2Sommaire du Match
187 - 2020-04-09977Senateurs2Islanders3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance77,36736,993
Assistance PCT94.35%90.23%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2789 - 92.98% 94,348$3,868,249$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,931,942$ 3,251,164$ 1,986,164$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
17,111$ 3,131,944$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 21,322$ 0$




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
Saison Régulière
13783029032862332267391514010451161142391515022411171125602333846171158808416269287188390082258392271520893398224.19%3396680.53%31040209349.69%1042208350.02%579115450.17%169697317087301356674
1482323503417235245-1041141903401108119-11411816000161271261832354136481171808013281496692490556265487684824223477421.33%3577578.99%61177221753.09%1055212749.60%603118550.89%1799103917627631409699
Total Saison Régulière1606264066913468471-380293304446224233-9803331022572442386143468797126522129160164295506183718071805138523717981563451168615622.74%69614179.74%92217431051.44%2097421049.81%1182233950.53%349620133470149427661373
Séries
122314900000716831192000003626101257000003542-7287112319400152331285523628530232862273360632912224.18%1041684.62%133367949.04%34670549.08%19334855.46%501280516221416205
Total Séries2314900000716831192000003626101257000003542-7287112319400152331285523628530232862273360632912224.18%1041684.62%133367949.04%34670549.08%19334855.46%501280516221416205