New York Rangers

GP: 82 | W: 32 | L: 46 | OTL: 4 | P: 68
GF: 216 | GA: 295 | PP%: 20.48% | PK%: 74.92%
DG: Sach Verville | Morale : 23 | Moyenne d'Équipe : N/A
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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
1Anze KopitarX100.0081508590949992949491759784949413600
2Andrew ShawXX100.0095506081808287798179747350757214400
3Tom Pyatt (R)XXX100.0070508470777585555074708263817916900
4Timo Meier (R)XXX100.0092508891757469805063646650656412300
5Jarome IginlaXX100.0088507777918296775173757550999914300
6Dylan LarkinX100.0067508398769194846275788450757213000
7Michael CammalleriXX100.0063508690758875795783737290858411700
8Dwight KingX100.0088509271967975675059607475868114400
9Joel WardXXX100.0072508578958590746879718050939512800
10Nail YakupovXXX100.0065508692778075785065656550767112600
11Matt StajanX100.0060507176837496698277588550848513000
12Shea WeberX100.0095508592999890932579789950909512500
13Ivan Provorov (R)X100.0088508894788990852576699050717013700
14Oscar KlefbomX100.0072509988869279882577758750767113400
15Ryan MurrayX100.0071508791838387782564638350777313600
16Marc StaalX100.0080508778908489752563628750848213700
17Steve OleksyX100.0069505368706874592559607550797312800
18Slater KoekkoekX100.0057507573696578642561606850505011400
Rayé
1Colton HargroveX100.0058797764796967535051516350505012000
2Jonathan MarchessaultXX100.0088508293638878865482927950767013100
3Mitch CallahanXXX100.0067707769707767625060606357505011900
4Adam PardyX100.0069846968745755502550507150676812000
MOYENNE D'ÉQUIPE100.007554818181818174487067785577751310
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
1Alex Lyon (R)100.007078847869756670707031686711200
2Brian Elliott99.008488899085858082838483868611500
Rayé
1Stephon Williams100.005670707762626265626231596112000
MOYENNE D'ÉQUIPE99.67707981827274697272724871711160
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano99918999896789USA5063,000,000$


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
1Anze KopitarNew York RangersC75334073-12455123263287276611.50%43191325.51914236123110142934056.22%262900000.7601100563
2Dylan LarkinNew York RangersLW82254065-51352812527722379.03%12180922.06719265526111251905140.21%29100000.72010103210
3Shea WeberNew York RangersD80233558-1312210231115202173311.39%131198624.83121022902050002226210.00%000010.5800100235
4Oscar KlefbomNew York RangersD82173956-232954312718711169.09%89178321.7451419842150112256400.00%000100.6300001410
5Jonathan MarchessaultNew York RangersC/RW70242448-441511610424312299.88%11128118.31347128200031107341.61%16100000.7511001662
6Ivan ProvorovNew York RangersD8093948-2473511610913012336.92%132190923.8751318621960110192010.00%000000.5000001022
7Andrew ShawNew York RangersLW/RW82132740-166952427615919318.18%7140017.0828103016200021094060.90%13300000.5700001221
8Michael CammalleriNew York RangersC/LW76122436-2120151511647197.32%11137218.0637103113810141511242.41%145000000.5200000111
9Jarome IginlaNew York RangersLW/RW82122234-14775197521476198.16%11153518.73358342470110172043.70%11900000.4400000210
10Joel WardNew York RangersC/LW/RW76111728-178027891115239.91%5113414.932241280000090149.82%56000000.4900000014
11Ryan MurrayNew York RangersD7732326-10295334874164.05%58106913.891781589000043000.00%000000.4900100000
12Marc StaalNew York RangersD8241519-3292201185674785.41%106141717.29134361700110206000.00%000000.2700121010
13Timo MeierNew York RangersC/LW/RW5751217-19320844610913214.59%690515.88268231430001370038.54%20500000.3800000000
14Nail YakupovNew York RangersC/LW/RW795813-1020654710117.04%57329.270001110000261134.91%40100000.3600000011
15Tom PyattNew York RangersC/LW/RW805611-14140352651129.80%116187.73000010000270032.65%4900000.3600000000
16Dwight KingNew York RangersLW824610-222958339584106.90%582710.0900004000091041.33%7500000.2400001000
17Matt StajanNew York RangersC74358-9201271553115.45%86638.96112161040001740049.36%77800100.2400000000
18Steve OleksyNew York RangersD63257-64801192121259.52%5691614.5500003000012010.00%000000.1500000000
19Mitch CallahanNew York RangersC/LW/RW39303-14801611200015.00%03368.6300000000050028.22%16300000.1800000000
20Colton HargroveNew York RangersLW32112-14757540025.00%02477.7500000000010040.20%10200000.1600100000
21Slater KoekkoekNew York RangersD5102212715394000.00%42514.93000000000500100.00%200000.1600201000
22Adam PardyNew York RangersD19000-3201003000.00%7764.010000500009000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1520214390604-301771951664159724511693808.73%7182418915.91561131695622356358242017311148.16%711800210.5013737252729
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
1Brian ElliottNew York Rangers52182460.9053.0228614214415080020.80054830342
2Alex LyonNew York Rangers4192510.8764.1420148013911210010.00003640211
3Stephon WilliamsNew York Rangers30000.8484.651290010660000.0000019000
Stats d'équipe Total ou en Moyenne96274970.8913.51500612229326950030.80058489553


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
Adam PardyNew York RangersD321984-03-28No227 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm300,000$300,000$0$No300,000$
Alex LyonNew York RangersG241992-12-08Yes201 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$300,000$0$No300,000$300,000$300,000$
Andrew ShawNew York RangersLW/RW261990-07-20No179 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$0$No1,000,000$
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Brian ElliottNew York RangersG311985-04-09No209 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Colton HargroveNew York RangersLW241992-06-25No216 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$0$No300,000$300,000$
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$0$No
Dylan LarkinNew York RangersLW201996-07-29No190 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No900,000$900,000$
Ivan ProvorovNew York RangersD201997-01-13Yes201 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$0$No900,000$900,000$900,000$
Jarome IginlaNew York RangersLW/RW391977-06-30No210 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm5,300,000$5,300,000$0$No5,300,000$
Joel WardNew York RangersC/LW/RW361980-12-02No226 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm4,140,000$4,140,000$0$No4,140,000$4,140,000$
Jonathan MarchessaultNew York RangersC/RW261990-12-27No184 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Marc StaalNew York RangersD301987-01-12No207 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$
Michael CammalleriNew York RangersC/LW341982-06-07No190 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Mitch CallahanNew York RangersC/LW/RW251991-08-16No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Nail YakupovNew York RangersC/LW/RW231993-10-05No197 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$0$No500,000$500,000$
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Ryan MurrayNew York RangersD231993-09-26No208 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$500,000$0$No
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Slater KoekkoekNew York RangersD221994-02-18No184 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$0$No300,000$
Stephon WilliamsNew York RangersG231993-04-28No190 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$0$No300,000$300,000$
Steve OleksyNew York RangersD301986-02-04No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm300,000$300,000$0$No300,000$300,000$300,000$
Timo MeierNew York RangersC/LW/RW201996-10-08Yes209 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$0$No300,000$300,000$300,000$
Tom PyattNew York RangersC/LW/RW291987-02-14Yes188 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$500,000$0$No500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2527.20203 Lbs6 ft12.281,749,600$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
43,740,000$18,840,000$11,940,000$1,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan LarkinAnze KopitarJarome Iginla40122
2Andrew ShawJoel WardNail Yakupov30122
3Dwight KingMichael CammalleriTimo Meier20122
4Joel WardMatt StajanAnze Kopitar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber40122
2Oscar KlefbomSteve Oleksy30122
3Ivan ProvorovMarc Staal20122
4Ryan MurrayShea Weber10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan LarkinAnze KopitarJarome Iginla60122
2Andrew ShawMatt StajanTimo Meier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovMarc Staal60122
2Oscar KlefbomShea Weber40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarDylan Larkin60122
2Matt StajanAndrew Shaw40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc StaalShea Weber60122
2Oscar KlefbomIvan Provorov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60122Marc StaalIvan Provorov60122
2Matt Stajan40122Oscar KlefbomShea Weber40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan LarkinAnze Kopitar60122
2Jarome IginlaAndrew Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberMarc Staal60122
2Oscar KlefbomIvan Provorov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJarome IginlaIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJarome IginlaIvan ProvorovShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Larkin, Dwight King, Anze KopitarAnze Kopitar, Dwight KingAnze Kopitar
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shea Weber, Marc Staal, Oscar KlefbomShea WeberMarc Staal, Oscar Klefbom
Tirs de Pénalité
Dylan Larkin, Anze Kopitar, Jarome Iginla, Andrew Shaw, Matt Stajan
Gardien
#1 : Brian Elliott, #2 : Alex Lyon


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 Ducks2110000067-1110000004311010000024-220.50061117002130742327240662041385240.00%12375.00%01408289148.70%1374289447.48%633127049.84%483347142411
2Boston Bruins422000001715231200000111101100000064240.500173047009260137563942013329447317635.29%17476.47%01408289148.70%1374289447.48%633127049.84%976894284823
3Buffalo Sabres3030000058-32020000024-21010000034-100.000510150005008722452009521415411218.18%16381.25%01408289148.70%1374289447.48%633127049.84%735170213518
4Calgary Flames41200100914-51010000025-33110010079-230.3759172600243012443403831214220751218.33%8275.00%01408289148.70%1374289447.48%633127049.84%1047488275025
5Caroline Hurricanes41300000815-730300000413-91100000042220.250814220051201164335380134294910010220.00%201050.00%01408289148.70%1374289447.48%633127049.84%895998295225
6Chicago Blackhawks30200100913-41010000046-22010010057-210.1679152400153068172922010138286810330.00%14657.14%01408289148.70%1374289447.48%633127049.84%654374234019
7Colorado Avalanche220000001183110000005411100000064241.000111829004610622321180881914356233.33%7185.71%01408289148.70%1374289447.48%633127049.84%432952142412
8Columbus Blue Jackets421010009902110000035-22100100064260.75091726012151145415646212735399519315.79%11372.73%01408289148.70%1374289447.48%633127049.84%997092294824
9Dallas Stars2020000036-31010000013-21010000023-100.00036910012048920190732237437114.29%9188.89%01408289148.70%1374289447.48%633127049.84%432851152512
10Detroit Red Wings32100000711-4110000003212110000049-540.667714210004305714241908023275211218.18%11281.82%01408289148.70%1374289447.48%633127049.84%674575223717
11Edmonton Oilers32100000121201010000047-32200000085340.66712233500363011437383908629315416637.50%6183.33%01408289148.70%1374289447.48%633127049.84%765465203819
12Floride Panthers31200000610-41010000025-32110000045-120.333611170021309435253408731266712216.67%11372.73%01408289148.70%1374289447.48%633127049.84%735069213719
13Los Angeles Kings20101000550100010003211010000023-120.5005813002201732619271522125357228.57%10370.00%01408289148.70%1374289447.48%633127049.84%503545142412
14Minnesota Wild31101000811-32110000048-41000100043140.6678152300412189272633310433325417211.76%16193.75%01408289148.70%1374289447.48%633127049.84%694573234020
15Montreal Canadiens30300000610-41010000024-22020000046-200.00061117003120883324310863341491400.00%18477.78%01408289148.70%1374289447.48%633127049.84%724970233617
16Nashville Predators20200000011-111010000006-61010000005-500.00000000000060271815059131244600.00%6433.33%01408289148.70%1374289447.48%633127049.84%483345152613
17New Jersey Devils30300000513-81010000026-42020000037-400.00059140031107619282901013824756116.67%11463.64%01408289148.70%1374289447.48%633127049.84%613980233818
18New York Islanders31200000814-6211000006511010000029-720.333815230032308931302801092335679111.11%14378.57%11408289148.70%1374289447.48%633127049.84%674575213717
19Ottawa Senateurs311010009901010000014-32100100085340.66791726002151721919322833026789333.33%8187.50%01408289148.70%1374289447.48%633127049.84%714973203518
20Philadelphie Flyers30300000312-91010000012-120200000210-800.000369001020732327230922820638112.50%10190.00%01408289148.70%1374289447.48%633127049.84%654477203617
21Phoenix Coyotes2020000059-41010000013-21010000046-200.000591400212059182219058152745400.00%11463.64%01408289148.70%1374289447.48%633127049.84%463049132412
22Pittsburgh Penguins31200000916-71100000041320200000515-1020.333916250035109127352901233230619222.22%12558.33%01408289148.70%1374289447.48%633127049.84%684876213416
23San Jose Sharks321000009812110000067-11100000031240.6679152400252090283230010124208111218.18%90100.00%11408289148.70%1374289447.48%633127049.84%765466213619
24St-Louis Blues2110000068-2110000006421010000004-420.500612180022206528271005821233911327.27%11372.73%01408289148.70%1374289447.48%633127049.84%503543142513
25Tampa Bay Lightning321000001091211000006601100000043140.66710192910442011441433009023106911436.36%50100.00%01408289148.70%1374289447.48%633127049.84%755366213819
26Toronto Maple Leafs320001001192210001007701100000042250.8331118290064108736232808123346710110.00%15380.00%01408289148.70%1374289447.48%633127049.84%846161203819
Total82274604410216295-7941132501200106147-4141142103210110148-38680.415216391607227373655243981083078418263675281317392936020.48%3238174.92%31408289148.70%1374289447.48%633127049.84%1953135019605971027512
28Vancouver Canucks21000010835110000004041000001043141.0008132101412170301821461119419333.33%20100.00%11408289148.70%1374289447.48%633127049.84%543944142613
29Washington Capitals30300000513-82020000049-51010000014-300.0005101500041067202621012532406510220.00%20670.00%01408289148.70%1374289447.48%633127049.84%624178223918
30Winnipeg Jets210001007701000010045-11100000032130.7507121900223050141419362148526116.67%30100.00%01408289148.70%1374289447.48%633127049.84%463149172613
_Since Last GM Reset82274604410216295-7941132501200106147-4141142103210110148-38680.415216391607227373655243981083078418263675281317392936020.48%3238174.92%31408289148.70%1374289447.48%633127049.84%1953135019605971027512
_Vs Conference48153002100118173-5525717001005884-2623813020006089-29350.36511821733511433637213934604794504154643048610351663219.28%1995273.87%11408289148.70%1374289447.48%633127049.84%11297801161348594293
_Vs Division23517010004792-451239000002441-171128010002351-28120.26147871340117141516572042372142811217237526711216.90%983267.35%11408289148.70%1374289447.48%633127049.84%514349579168286138

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8268L721639160724392636752813173922
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8227464410216295
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113251200106147
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114213210110148
Derniers 10 Matchs
WLOTWOTL SOWSOL
181000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2936020.48%3238174.92%3
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
810830784187373655
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
1408289148.70%1374289447.48%633127049.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1953135019605971027512


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 - 2017-10-018Minnesota Wild2New York Rangers3WSommaire du Match
2 - 2017-10-0221New York Rangers2Montreal Canadiens3LSommaire du Match
3 - 2017-10-0331New York Rangers3Calgary Flames5LSommaire du Match
6 - 2017-10-0651Caroline Hurricanes6New York Rangers2LSommaire du Match
9 - 2017-10-0968Boston Bruins1New York Rangers3WSommaire du Match
11 - 2017-10-1185New York Rangers2Floride Panthers4LSommaire du Match
13 - 2017-10-1398Toronto Maple Leafs6New York Rangers5LXSommaire du Match
14 - 2017-10-14110New York Rangers1Pittsburgh Penguins8LSommaire du Match
16 - 2017-10-16122New York Rangers3Chicago Blackhawks4LSommaire du Match
18 - 2017-10-18140New York Rangers4Edmonton Oilers3WSommaire du Match
19 - 2017-10-19148Buffalo Sabres1New York Rangers0LSommaire du Match
20 - 2017-10-20160New York Rangers1Detroit Red Wings8LSommaire du Match
23 - 2017-10-23178Boston Bruins6New York Rangers5LSommaire du Match
25 - 2017-10-25196New York Rangers4Ottawa Senateurs2WSommaire du Match
26 - 2017-10-26205Columbus Blue Jackets0New York Rangers1WSommaire du Match
30 - 2017-10-30227Washington Capitals4New York Rangers2LSommaire du Match
31 - 2017-10-31235New York Rangers1New Jersey Devils3LSommaire du Match
33 - 2017-11-02252New York Rangers3Detroit Red Wings1WSommaire du Match
35 - 2017-11-04265New York Rangers4Ottawa Senateurs3WXSommaire du Match
36 - 2017-11-05270San Jose Sharks3New York Rangers4WSommaire du Match
38 - 2017-11-07296Boston Bruins4New York Rangers3LSommaire du Match
39 - 2017-11-08308New York Rangers2New York Islanders9LSommaire du Match
40 - 2017-11-09324Dallas Stars3New York Rangers1LSommaire du Match
44 - 2017-11-13339New York Rangers0Nashville Predators5LSommaire du Match
47 - 2017-11-16352Pittsburgh Penguins1New York Rangers4WSommaire du Match
49 - 2017-11-18368New York Rangers4Vancouver Canucks3WXXSommaire du Match
50 - 2017-11-19379New York Rangers3Calgary Flames2WSommaire du Match
52 - 2017-11-21389Nashville Predators6New York Rangers0LSommaire du Match
54 - 2017-11-23407New York Rangers3Winnipeg Jets2WSommaire du Match
57 - 2017-11-26416St-Louis Blues4New York Rangers6WSommaire du Match
59 - 2017-11-28435New York Rangers1Philadelphie Flyers7LSommaire du Match
61 - 2017-11-30445New York Rangers4Caroline Hurricanes2WSommaire du Match
62 - 2017-12-01450Toronto Maple Leafs1New York Rangers2WSommaire du Match
65 - 2017-12-04475Philadelphie Flyers2New York Rangers1LSommaire du Match
66 - 2017-12-05491New York Rangers2Los Angeles Kings3LSommaire du Match
67 - 2017-12-06505New York Rangers3Buffalo Sabres4LSommaire du Match
68 - 2017-12-07512Anaheim Ducks3New York Rangers4WSommaire du Match
72 - 2017-12-11534New York Rangers2Chicago Blackhawks3LXSommaire du Match
74 - 2017-12-13540Detroit Red Wings2New York Rangers3WSommaire du Match
76 - 2017-12-15562New York Rangers4Edmonton Oilers2WSommaire du Match
77 - 2017-12-16571Vancouver Canucks0New York Rangers4WSommaire du Match
79 - 2017-12-18594New York Islanders3New York Rangers5WSommaire du Match
80 - 2017-12-19603New York Rangers6Boston Bruins4WSommaire du Match
83 - 2017-12-22619New York Rangers2New Jersey Devils4LSommaire du Match
84 - 2017-12-23630Caroline Hurricanes3New York Rangers1LSommaire du Match
86 - 2017-12-25654Ottawa Senateurs4New York Rangers1LSommaire du Match
88 - 2017-12-27668New York Rangers4Phoenix Coyotes6LSommaire du Match
89 - 2017-12-28682Floride Panthers5New York Rangers2LSommaire du Match
90 - 2017-12-29692New York Rangers2Dallas Stars3LSommaire du Match
91 - 2017-12-30701New York Rangers0St-Louis Blues4LSommaire du Match
94 - 2018-01-02717New York Rangers4Minnesota Wild3WXSommaire du Match
95 - 2018-01-03720Colorado Avalanche4New York Rangers5WSommaire du Match
98 - 2018-01-06741New York Rangers2Montreal Canadiens3LSommaire du Match
99 - 2018-01-07753Calgary Flames5New York Rangers2LSommaire du Match
103 - 2018-01-11779Los Angeles Kings2New York Rangers3WXSommaire du Match
106 - 2018-01-14800New York Rangers3Columbus Blue Jackets2WSommaire du Match
109 - 2018-01-17808Phoenix Coyotes3New York Rangers1LSommaire du Match
114 - 2018-01-22834San Jose Sharks4New York Rangers2LSommaire du Match
116 - 2018-01-24856New York Rangers6Colorado Avalanche4WSommaire du Match
118 - 2018-01-26867Montreal Canadiens4New York Rangers2LSommaire du Match
121 - 2018-01-29881New York Rangers1Philadelphie Flyers3LSommaire du Match
122 - 2018-01-30896New York Rangers2Floride Panthers1WSommaire du Match
123 - 2018-01-31899Washington Capitals5New York Rangers2LSommaire du Match
125 - 2018-02-02925Chicago Blackhawks6New York Rangers4LSommaire du Match
127 - 2018-02-04946New Jersey Devils6New York Rangers2LSommaire du Match
129 - 2018-02-06963New York Rangers1Calgary Flames2LXSommaire du Match
131 - 2018-02-08980Winnipeg Jets5New York Rangers4LXSommaire du Match
134 - 2018-02-11996New York Rangers4Toronto Maple Leafs2WSommaire du Match
135 - 2018-02-121008New York Rangers4Pittsburgh Penguins7LSommaire du Match
136 - 2018-02-131016Tampa Bay Lightning4New York Rangers6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161033New York Rangers4Tampa Bay Lightning3WSommaire du Match
140 - 2018-02-171041New York Rangers2Anaheim Ducks4LSommaire du Match
141 - 2018-02-181051Tampa Bay Lightning2New York Rangers0LSommaire du Match
143 - 2018-02-201060New York Rangers3San Jose Sharks1WSommaire du Match
145 - 2018-02-221072New York Rangers3Columbus Blue Jackets2WXSommaire du Match
146 - 2018-02-231078New York Rangers1Washington Capitals4LSommaire du Match
147 - 2018-02-241085Edmonton Oilers7New York Rangers4LSommaire du Match
151 - 2018-02-281110New York Islanders2New York Rangers1LSommaire du Match
154 - 2018-03-031139Buffalo Sabres3New York Rangers2LSommaire du Match
160 - 2018-03-091169Caroline Hurricanes4New York Rangers1LSommaire du Match
168 - 2018-03-171197Minnesota Wild6New York Rangers1LSommaire du Match
172 - 2018-03-211226Columbus Blue Jackets5New York Rangers2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance189,443156,13162,338125,29732,186
Attendance PCT77.01%76.16%76.02%76.40%78.50%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 13790 - 76.61% 865,693$35,493,415$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
43,948,160$ 43,740,000$ 38,550,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
43,740,000$ 40,859,729$ 0$ 25 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 270,173$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 43,740,000$ 116,496,778$ 116,496,778$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Andrew ShawAGE:26PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
Colton HargroveAGE:24PO:1OV:0
Jarome IginlaAGE:39PO:1OV:0
Dylan LarkinAGE:20PO:1OV:0
Michael CammalleriAGE:34PO:1OV:0
Dwight KingAGE:27PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0
Anze KopitarAGE:29PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
*Mark OlverAGE:29PO:1OV:0
Michael CammalleriAGE:34PO:1OV:0
Jonathan MarchessaultAGE:26PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0
Cody BassAGE:30PO:1OV:0
Matt StajanAGE:33PO:1OV:0
Andrew ShawAGE:26PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
Jarome IginlaAGE:39PO:1OV:0
Jonathan MarchessaultAGE:26PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0

Défense #1Défense #2Gardien
Adam PardyAGE:32PO:1OV:0
Kenney MorrisonAGE:24PO:1OV:0
Shea WeberAGE:31PO:1OV:0
Zach LeslieAGE:22PO:1OV:0
*Ivan ProvorovAGE:20PO:1OV:0
Oscar KlefbomAGE:23PO:1OV:0
Ryan MurrayAGE:23PO:1OV:0
Marc StaalAGE:30PO:1OV:0
Steve OleksyAGE:30PO:1OV:0
Vincent LoVerdeAGE:27PO:1OV:0
Slater KoekkoekAGE:22PO:1OV:0
Viktor LoovAGE:24PO:1OV:0
*Alex LyonAGE:24PO:1OV:0
Stephon WilliamsAGE:23PO:1OV:0
Brian ElliottAGE:31PO: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
Alexis PepinNew York Rangers10115
Anthony FlorentinoNew York Rangers9124
Christian JarosNew York Rangers1185
Frederik OlofssonNew York Rangers1080
Luke KuninNew York Rangers1212
Scott GreenhamNew York Rangers
Simon BourqueNew York Rangers11130
Vladimir BobylevNew York Rangers12131
William BorgenNew York Rangers11100

Choix au Repêchage

Année R1R2R3R4R5R6
13NYR NYR NYR NYR
14NYR NYR NYR Pit NYR NYR
15NYR NYR NYR NYR NYR
16NYR NYR NYR NYR NYR NYR
17NYR NYR NYR NYR NYR NYR



[2018-02-22 23:51:41] - TRADE : From Dallas Stars to New York Rangers : Tom Pyatt.
[2018-02-22 23:51:41] - TRADE : From New York Rangers to Dallas Stars : Y:13-RND:4-NYR.
[2018-01-26 19:19:13] - TRADE : From New York Rangers to Buffalo Sabres : Cam Ward, Roman Polak, Y:14-RND:3-Van.
[2018-01-26 19:19:13] - TRADE : From Buffalo Sabres to New York Rangers : Brian Elliott, Steve Oleksy, Y:13-RND:6-NYR.
[2018-01-26 19:19:12] - Steve Oleksy was added to New York Rangers.
[2018-01-26 19:19:12] - Brian Elliott was added to New York Rangers.
[2017-12-12 09:46:33] - TRADE : From Phoenix Coyotes to New York Rangers : Cody Bass, Mark Olver.
[2017-12-12 09:46:32] - Mark Olver was added to New York Rangers.
[2017-12-12 09:46:32] - Cody Bass was added to New York Rangers.
[2017-09-25 11:40:57] - TRADE : From New York Rangers to Dallas Stars : Nikita Tryamkin.
[2017-09-25 11:40:57] - TRADE : From Dallas Stars to New York Rangers : Alexis Pepin (P).



[2018-03-24 20:03:42] Jonathan Marchessault from New York Rangers is back from Separated Left Shoulder Injury.
[2018-03-17 09:51:27] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-17 09:51:27] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-14 18:27:11] Alex Lyon from New York Rangers is back from Exhaustion.
[2018-03-13 07:29:17] Alex Lyon from New York Rangers injured (Exhaustion)
[2018-03-12 10:04:59] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-12 10:04:59] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-11 12:49:19] Game 1072 - Jonathan Marchessault from New York Rangers is injured (Separated Left Shoulder) and is out for 2 weeks.
[2018-03-07 16:47:23] Alex Lyon from New York Rangers is back from Exhaustion.
[2018-03-07 16:47:14] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-07 16:47:13] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-06 18:38:58] Last 7 Days Pro Star : 1 - T.J. Oshie of Winnipeg Jets (5-4-9) / 2 - Jeff Carter of Edmonton Oilers (5-4-9) / 3 - Anze Kopitar of New York Rangers (4-4-8)
[2018-03-06 18:38:53] Alex Lyon from New York Rangers injured (Exhaustion)
[2018-03-05 16:06:35] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-05 16:06:35] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-04 16:20:56] Brian Elliott from New York Rangers is back from Exhaustion.



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
1282274604410216295-7941132501200106147-4141142103210110148-3868216391607227373655243981083078418263675281317392936020.48%3238174.92%31408289148.70%1374289447.48%633127049.84%1953135019605971027512
Total Saison Régulière82274604410216295-7941132501200106147-4141142103210110148-3868216391607227373655243981083078418263675281317392936020.48%3238174.92%31408289148.70%1374289447.48%633127049.84%1953135019605971027512