New York Rangers

GP: 59 | W: 32 | L: 22 | OTL: 5 | P: 69
GF: 190 | GA: 193 | PP%: 29.11% | PK%: 76.61%
DG: Sébastien Lessard | Morale : 58 | Moyenne d'Équipe : 72
Prochain matchs #935 vs Minnesota Wild
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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 Kopitar (A)X99.00875587939596959692959399559088172880
2Jonathan Marchessault (A)X99.00945584938091899578948887558180170840
3Dylan LarkinX99.00805585998190929386937691558078151830
4Yanni GourdeXXX100.00745582917287919350898687557250176800
5Timo MeierXX100.00975589938086858380718178557672176770
6Joel WardX100.00735587789696867475656876559395162730
7Matt StajanX100.00815577768180737483666581558485142710
8Joshua Ho-SangX100.00655573887675827450776666556864173700
9Dwight KingX100.00865580559785806150555555557472173620
10Mitch CallahanX100.00655569696966766050606160555050173600
11Cody BassX100.00555557697770635550555558557573163590
12Mark Olver (R)X100.00605566646360675650555655555353130560
13Ivan ProvorovX99.00905596948295919325807797557978173850
14Shea Weber (C)X99.00815584879897859425817394559295159840
15Oscar KlefbomX100.00775594858792939025756692558078173810
16Marc StaalX100.00815592789184857025646193558987174780
17Adam McQuaidX100.00905570729178827325626181558478155740
18Vincent LoVerdeX100.00605560617265676025606055555353130580
Rayé
1Colton HargroveX100.00565555555657575550555555557170119550
2Steve OleksyX73.57555559605959675925595959558175154590
MOYENNE D'ÉQUIPE98.4075557778808080755171687655767416072
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
1Brian Elliott98.0082808185808285808283558686134810
2Alex Lyon100.0070788478696975667070556867171710
Rayé
MOYENNE D'ÉQUIPE99.007679838275768073767755777715376
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer86878587836672CAN4956,666,666$


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 RangersC5936508620495912173008222312.00%25142924.225182345183011182629153.28%209100011.20001001154
2Jonathan MarchessaultNew York RangersLW5231366721595112882206316314.09%10110521.26713205317120251558154.41%6800111.2112001586
3Ivan ProvorovNew York RangersD59174259-3560144981593710310.69%83144124.44121729971700000194310.00%000000.8200000343
4Yanni GourdeNew York RangersC/LW/RW531932511537567771765810910.80%10102119.2731316311890000112029.41%8500001.0000001615
5Timo MeierNew York RangersLW/RW592025459375152801674411611.98%6118220.058614351830002933148.81%8400010.7622100135
6Shea WeberNew York RangersD52103040-34001017412649857.94%90130925.1991524641720005183100.00%000000.6100000020
7Dylan LarkinNew York RangersC50171936-13915561611563910610.90%993718.757411351330001870349.58%107700000.7701003221
8Oscar KlefbomNew York RangersD591125366380817586334312.79%84132522.468311361440001185100.00%000000.5400000300
9Marc StaalNew York RangersD5991726-16951094952194617.31%91111118.8426816630110130200.00%000000.4700001201
10Joel WardNew York RangersRW5961622-18030487931627.59%7103817.59066101140001960151.40%10700000.4200000000
11Joshua Ho-SangNew York RangersRW5951217-42019326921527.25%195516.19099131050000430037.72%11400000.3600000001
12Adam McQuaidNew York RangersD6058131795129293581514.29%4381313.56202212011061200.00%000000.3200010200
13Matt StajanNew York RangersC466612-1310051918626656.98%1558412.701019290000351051.90%65700000.4100000101
14Dwight KingNew York RangersLW59549-134001007269619.23%385714.541125132000071025.00%6000000.2100000012
15Luke KuninWolf Pack (NYR)C/RW51347-7135283620122215.00%452010.210110110000130037.37%28100000.2700001011
16Mitch CallahanNew York RangersRW59336-5100161328112410.71%25419.1900000000000035.14%3700000.2200000001
17Cody BassNew York RangersC57123-1240102729841112.50%53616.3300000000000035.37%37600000.1700002000
18Steve OleksyNew York RangersD51033-7380521416160.00%2865812.9200010000023000.00%000000.0900000000
19Vincent LoVerdeNew York RangersD1502241802054030.00%415510.340000000002000.00%000000.2600000000
20Colton HargroveNew York RangersLW24101-8208330533.33%11666.9400000000050041.67%1200000.1200000000
21Mark OlverNew York RangersC26000-760953040.00%01365.2600000000000033.33%5700000.0000000000
22Michael BuntingWolf Pack (NYR)LW37000-1720999750.00%23038.2000000000000026.09%2300000.0000000000
Stats d'équipe Total ou en Moyenne1105205336541-2669260141112401828554127411.21%5231795716.2565112177452182423533159433848.47%512900130.6035219362731
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 Rangers34181500.8933.301816011009360030.00003419211
2Alex LyonNew York Rangers2812750.8953.08161820837910201.00052334201
3Stephon WilliamsWolf Pack (NYR)22000.8873.39124207620000.000026000
Stats d'équipe Total ou en Moyenne64322250.8943.2035594119017890231.00055959412


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 McQuaidNew York RangersD301986-10-11No209 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Alex LyonNew York RangersG241992-12-09No201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$300,000$77,966$No
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Brian ElliottNew York RangersG311985-04-08No209 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$519,774$No
Cody BassNew York RangersC301987-01-07No203 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$300,000$77,966$No
Colton HargroveNew York RangersLW241992-06-25No216 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$129,944$No
Dylan LarkinNew York RangersC201996-07-30No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Ivan ProvorovNew York RangersD201997-01-13No201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Joel WardNew York RangersRW361980-12-02No226 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,140,000$4,140,000$1,075,932$No
Jonathan MarchessaultNew York RangersLW261990-12-27No184 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Joshua Ho-SangNew York RangersRW201996-01-22No173 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Marc StaalNew York RangersD301987-01-13No207 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Mark OlverNew York RangersC291988-01-01Yes170 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$500,000$129,944$No
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Mitch CallahanNew York RangersRW251991-08-16No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Steve Oleksy (Sur la Masse Salariale)New York RangersD301986-02-03No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$0$0$Yes
Timo MeierNew York RangersLW/RW201996-10-08No209 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Vincent LoVerdeNew York RangersD271989-04-13No205 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$500,000$129,944$No
Yanni GourdeNew York RangersC/LW/RW251991-12-14No157 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.82201 Lbs6 ft12.451,733,636$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
38,140,000$34,140,000$19,200,000$9,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultAnze KopitarYanni Gourde40122
2Timo MeierDylan LarkinJoel Ward30122
3Dwight KingMatt StajanJoshua Ho-Sang20122
4Anze KopitarCody BassMitch Callahan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber40122
2Oscar KlefbomMarc Staal30122
3Adam McQuaidShea Weber20122
4Vincent LoVerdeIvan Provorov10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultAnze KopitarYanni Gourde60122
2Timo MeierDylan LarkinJoel Ward40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber60122
2Oscar KlefbomMarc Staal40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJonathan Marchessault60122
2Dylan LarkinYanni Gourde40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber60122
2Oscar KlefbomMarc Staal40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60122Ivan ProvorovShea Weber60122
2Jonathan Marchessault40122Oscar KlefbomMarc Staal40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJonathan Marchessault60122
2Dylan LarkinYanni Gourde40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber60122
2Oscar KlefbomMarc Staal40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarYanni GourdeIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarYanni GourdeIvan ProvorovShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Stajan, Joshua Ho-Sang, Dwight KingMatt Stajan, Joshua Ho-SangDwight King
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam McQuaid, Ivan Provorov, Vincent LoVerdeAdam McQuaidShea Weber, Vincent LoVerde
Tirs de Pénalité
Anze Kopitar, Jonathan Marchessault, Dylan Larkin, Yanni Gourde, Timo Meier
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 Ducks210010001192100010006511100000054141.000112031003431612117221692038495360.00%14471.43%0963197148.86%1020207549.16%48397649.49%432951142512
2Boston Bruins21000100871110000004221000010045-130.750816240021506622212306821204911545.45%10370.00%0963197148.86%1020207549.16%48397649.49%432950142513
3Buffalo Sabres31200000911-21010000023-12110000078-120.333917260041408934272808932367315320.00%17382.35%0963197148.86%1020207549.16%48397649.49%694574223518
4Calgary Flames1010000034-11010000034-10000000000000.000347001110275121003792328400.00%4175.00%0963197148.86%1020207549.16%48397649.49%2214256126
5Carolina Hurricanes42200000101002020000028-62200000082640.5001019290054101012946260124364510413430.77%14657.14%0963197148.86%1020207549.16%48397649.49%8758100285226
6Chicago Blackhawks2110000057-2110000003211010000025-320.500581300221045231570692318458112.50%9188.89%0963197148.86%1020207549.16%48397649.49%463147152512
7Colorado Avalanche2010100069-31010000026-41000100043120.5006915001131521315222512918377114.29%9277.78%0963197148.86%1020207549.16%48397649.49%473250142613
8Columbus Blue Jackets321000008621010000002-22200000084440.66781321005210862424380752120599111.11%100100.00%0963197148.86%1020207549.16%48397649.49%694872213818
9Dallas Stars11000000532110000005320000000000021.000591400122026791003371023000.00%4175.00%0963197148.86%1020207549.16%48397649.49%2216256126
10Detroit Red Wings10000010651000000000001000001065121.0006915002211241184427111420010.00%4325.00%0963197148.86%1020207549.16%48397649.49%2214297125
11Edmonton Oilers1010000035-21010000035-20000000000000.0003690001202594120251482011100.00%3166.67%0963197148.86%1020207549.16%48397649.49%2114267125
12Florida Panthers321000008802110000045-11100000043140.66781523003230622022200802735659444.44%10460.00%0963197148.86%1020207549.16%48397649.49%654575243818
13Los Angeles Kings211000008621010000023-11100000063320.50081220005210773422210441529509444.44%120100.00%0963197148.86%1020207549.16%48397649.49%513542142613
14Montreal Canadiens22000000853110000004221100000043141.000814220040406515242604813183611218.18%8187.50%0963197148.86%1020207549.16%48397649.49%533942142412
15Nashville Predators2010001056-11010000024-21000001032120.5005712101122753718166572016408112.50%6266.67%0963197148.86%1020207549.16%48397649.49%473251152513
16New Jersey Devils1000010056-1000000000001000010056-110.50058130022103091470381025235240.00%5260.00%1963197148.86%1020207549.16%48397649.49%2115277104
17New York Islanders412001001115-420100100510-52110000065130.375112233005060135413556313638339213323.08%12466.67%0963197148.86%1020207549.16%48397649.49%946599285024
18Ottawa Senators20001100880100010005411000010034-130.75081523003401521120192561119376233.33%5340.00%0963197148.86%1020207549.16%48397649.49%473247152612
19Philadelphia Flyers321000001082211000006511100000043140.6671020300031608023233409117266016212.50%11372.73%0963197148.86%1020207549.16%48397649.49%694673233717
20Phoenix Coyotes21100000910-11010000046-21100000054120.500915241054006025269072178469666.67%40100.00%0963197148.86%1020207549.16%48397649.49%483346132412
21Pittsburgh Penguins2110000067-1110000005231010000015-420.50061117001230511613220651920449222.22%10190.00%0963197148.86%1020207549.16%48397649.49%473147142412
22San Jose Sharks2110000056-1110000004221010000014-320.500581300041057183090591620477228.57%10190.00%0963197148.86%1020207549.16%48397649.49%453149132411
23St. Louis Blues1000010023-1000000000001000010023-110.500246001100207670191210194125.00%5180.00%0963197148.86%1020207549.16%48397649.49%2517237116
24Tampa Bay Lightning22000000523110000002021100000032141.00051015012120531819160512019347342.86%7271.43%0963197148.86%1020207549.16%48397649.49%513644132412
25Toronto Maple Leafs22000000954110000005231100000043141.00091524002340731526320621224488337.50%11463.64%0963197148.86%1020207549.16%48397649.49%574239122312
Total59272203520190193-3301215021008796-92915701420103976690.585190337527317154606169855757155718179253162713122136229.11%2485876.61%2963197148.86%1020207549.16%48397649.49%13789491442429740365
27Vancouver Canucks1010000013-21010000013-20000000000000.0001230001002389605481616200.00%8187.50%0963197148.86%1020207549.16%48397649.49%1913277125
28Vegas Golden Knights2110000046-2110000003211010000014-320.5004812001120751623360491914487228.57%7271.43%0963197148.86%1020207549.16%48397649.49%523745132211
29Washington Capitals2020000049-51010000035-21010000014-300.000461010220051212280862323502150.00%9188.89%1963197148.86%1020207549.16%48397649.49%392654142512
30Winnipeg Jets22000000844110000002111100000063341.00081523005210572521110581122508225.00%10190.00%0963197148.86%1020207549.16%48397649.49%443049152512
_Since Last GM Reset59272203520190193-3301215021008796-92915701420103976690.585190337527317154606169855757155718179253162713122136229.11%2485876.61%2963197148.86%1020207549.16%48397649.49%13789491442429740365
_Vs Conference3618120141011511231778011004750-3191140031068626440.6111152103251145274121018309344359910963113777941343828.36%1434072.03%2963197148.86%1020207549.16%48397649.49%839578880262452223
_Vs Division1989002005461-7926001002132-1110630010033294180.47454991531023131805341631771913615164192432671522.39%711776.06%2963197148.86%1020207549.16%48397649.49%428292475137240116

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5969W119033752716981792531627131231
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5927223520190193
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30121521008796
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29157142010397
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2136229.11%2485876.61%2
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
557571557187154606
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
963197148.86%1020207549.16%48397649.49%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13789491442429740365


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-09-0610Nashville Predators4New York Rangers2LSommaire du Match
4 - 2018-09-0818New York Rangers3Buffalo Sabres7LSommaire du Match
5 - 2018-09-0929New York Rangers2Carolina Hurricanes1WSommaire du Match
9 - 2018-09-1353San Jose Sharks2New York Rangers4WSommaire du Match
10 - 2018-09-1466Edmonton Oilers5New York Rangers3LSommaire du Match
13 - 2018-09-1780Colorado Avalanche6New York Rangers2LSommaire du Match
14 - 2018-09-1889New York Rangers1Washington Capitals4LSommaire du Match
18 - 2018-09-22117Calgary Flames4New York Rangers3LSommaire du Match
20 - 2018-09-24128Florida Panthers4New York Rangers2LSommaire du Match
22 - 2018-09-26138New York Rangers2Chicago Blackhawks5LSommaire du Match
25 - 2018-09-29163New York Rangers6Los Angeles Kings3WSommaire du Match
27 - 2018-10-01176New York Rangers1San Jose Sharks4LSommaire du Match
29 - 2018-10-03179New York Rangers5Anaheim Ducks4WSommaire du Match
32 - 2018-10-06208Buffalo Sabres3New York Rangers2LSommaire du Match
34 - 2018-10-08218Montreal Canadiens2New York Rangers4WSommaire du Match
37 - 2018-10-11237New York Rangers6Detroit Red Wings5WXXSommaire du Match
38 - 2018-10-12245New York Rangers5Columbus Blue Jackets3WSommaire du Match
40 - 2018-10-14263Vancouver Canucks3New York Rangers1LSommaire du Match
43 - 2018-10-17281New York Rangers3New York Islanders4LSommaire du Match
45 - 2018-10-19298Florida Panthers1New York Rangers2WSommaire du Match
47 - 2018-10-21311Dallas Stars3New York Rangers5WSommaire du Match
49 - 2018-10-23328New York Islanders6New York Rangers5LXSommaire du Match
50 - 2018-10-24341New York Rangers4Philadelphia Flyers3WSommaire du Match
51 - 2018-10-25353Washington Capitals5New York Rangers3LSommaire du Match
53 - 2018-10-27365Ottawa Senators4New York Rangers5WXSommaire du Match
56 - 2018-10-30386New York Rangers3Ottawa Senators4LXSommaire du Match
58 - 2018-11-01400New York Rangers4Montreal Canadiens3WSommaire du Match
59 - 2018-11-02411Winnipeg Jets1New York Rangers2WSommaire du Match
65 - 2018-11-08450New York Rangers4Florida Panthers3WSommaire du Match
67 - 2018-11-10464New York Rangers3Tampa Bay Lightning2WSommaire du Match
71 - 2018-11-14492Phoenix Coyotes6New York Rangers4LSommaire du Match
73 - 2018-11-16508Vegas Golden Knights2New York Rangers3WSommaire du Match
75 - 2018-11-18525Anaheim Ducks5New York Rangers6WXSommaire du Match
79 - 2018-11-22556New York Rangers4Toronto Maple Leafs3WSommaire du Match
80 - 2018-11-23563Philadelphia Flyers3New York Rangers2LSommaire du Match
81 - 2018-11-24572Columbus Blue Jackets2New York Rangers0LSommaire du Match
83 - 2018-11-26592New York Rangers3Nashville Predators2WXXSommaire du Match
85 - 2018-11-28610New York Rangers2St. Louis Blues3LXSommaire du Match
87 - 2018-11-30619Pittsburgh Penguins2New York Rangers5WSommaire du Match
89 - 2018-12-02632New York Rangers4Colorado Avalanche3WXSommaire du Match
91 - 2018-12-04646New York Rangers5Phoenix Coyotes4WSommaire du Match
93 - 2018-12-06665New York Rangers1Vegas Golden Knights4LSommaire du Match
95 - 2018-12-08677New York Islanders4New York Rangers0LSommaire du Match
97 - 2018-12-10695New York Rangers3New York Islanders1WSommaire du Match
98 - 2018-12-11700New York Rangers3Columbus Blue Jackets1WSommaire du Match
100 - 2018-12-13718Carolina Hurricanes4New York Rangers1LSommaire du Match
102 - 2018-12-15731Chicago Blackhawks2New York Rangers3WSommaire du Match
104 - 2018-12-17740New York Rangers4Boston Bruins5LXSommaire du Match
110 - 2018-12-23775Philadelphia Flyers2New York Rangers4WSommaire du Match
112 - 2018-12-25779New York Rangers5New Jersey Devils6LXSommaire du Match
114 - 2018-12-27796Tampa Bay Lightning0New York Rangers2WSommaire du Match
116 - 2018-12-29806Los Angeles Kings3New York Rangers2LSommaire du Match
118 - 2018-12-31821Boston Bruins2New York Rangers4WSommaire du Match
120 - 2019-01-02837Carolina Hurricanes4New York Rangers1LSommaire du Match
122 - 2019-01-04859Toronto Maple Leafs2New York Rangers5WSommaire du Match
124 - 2019-01-06874New York Rangers6Winnipeg Jets3WSommaire du Match
127 - 2019-01-09889New York Rangers4Buffalo Sabres1WSommaire du Match
129 - 2019-01-11909New York Rangers1Pittsburgh Penguins5LSommaire du Match
131 - 2019-01-13916New York Rangers6Carolina Hurricanes1WSommaire du Match
133 - 2019-01-15935Minnesota Wild-New York Rangers-
135 - 2019-01-17951New Jersey Devils-New York Rangers-
136 - 2019-01-18961New York Rangers-Washington Capitals-
139 - 2019-01-21982Tampa Bay Lightning-New York Rangers-
141 - 2019-01-23996Montreal Canadiens-New York Rangers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251014Washington Capitals-New York Rangers-
145 - 2019-01-271022New York Rangers-Dallas Stars-
147 - 2019-01-291037New York Rangers-Detroit Red Wings-
149 - 2019-01-311056New Jersey Devils-New York Rangers-
151 - 2019-02-021067New York Rangers-Edmonton Oilers-
153 - 2019-02-041082New York Rangers-Vancouver Canucks-
155 - 2019-02-061094New York Rangers-Calgary Flames-
156 - 2019-02-071104New York Rangers-Minnesota Wild-
159 - 2019-02-101129Detroit Red Wings-New York Rangers-
163 - 2019-02-141160New York Rangers-Toronto Maple Leafs-
165 - 2019-02-161172Pittsburgh Penguins-New York Rangers-
167 - 2019-02-181185New York Rangers-Boston Bruins-
169 - 2019-02-201200St. Louis Blues-New York Rangers-
171 - 2019-02-221218New York Rangers-Philadelphia Flyers-
172 - 2019-02-231224New York Rangers-New Jersey Devils-
174 - 2019-02-251241Ottawa Senators-New York Rangers-
176 - 2019-02-271256Columbus Blue Jackets-New York Rangers-
177 - 2019-02-281268New York Rangers-Pittsburgh Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance170,386141,98956,730114,50128,779
Attendance PCT94.66%94.66%94.55%95.42%95.93%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
11 17080 - 94.89% 1,067,679$32,030,378$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
31,530,700$ 37,840,000$ 23,925,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
37,840,000$ 26,574,183$ 0$ 21 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
11,744,472$ 46 251,450$ 11,566,700$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,815,864$ 37,840,000$ 114,407,546$ 113,336,154$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jonathan MarchessaultAGE:26PO:1OV:84
Yanni GourdeAGE:25PO:1OV:80
Timo MeierAGE:20PO:1OV:77
Dwight KingAGE:27PO:1OV:62
Michael BuntingAGE:21PO:1OV:56
Colton HargroveAGE:24PO:1OV:55
Anze KopitarAGE:29PO:1OV:88
Dylan LarkinAGE:20PO:1OV:83
Yanni GourdeAGE:25PO:1OV:80
Matt StajanAGE:33PO:1OV:71
Cody BassAGE:30PO:1OV:59
*Luke KuninAGE:19PO:1OV:57
*Mark OlverAGE:29PO:1OV:56
Tyler GaudetAGE:23PO:1OV:53
Yanni GourdeAGE:25PO:1OV:80
Timo MeierAGE:20PO:1OV:77
Joel WardAGE:36PO:1OV:73
Joshua Ho-SangAGE:20PO:1OV:70
Mitch CallahanAGE:25PO:1OV:60
*Luke KuninAGE:19PO:1OV:57

Défense #1Défense #2Gardien
Ivan ProvorovAGE:20PO:1OV:85
Shea WeberAGE:31PO:1OV:84
Oscar KlefbomAGE:23PO:1OV:81
Marc StaalAGE:30PO:1OV:78
Adam McQuaidAGE:30PO:1OV:74
Steve OleksyAGE:30PO:1OV:59
Vincent LoVerdeAGE:27PO:1OV:58
Adam PardyAGE:32PO:1OV:55
Kenney MorrisonAGE:24PO:1OV:54
*Simon BourqueAGE:20PO:1OV:54
*Christian JarosAGE:20PO:1OV:54
Zac LeslieAGE:22PO:1OV:54
Viktor LoovAGE:24PO:1OV:54
Brian ElliottAGE:31PO:1OV:81
Alex LyonAGE:24PO:1OV:71
*Stephon WilliamsAGE:23PO:1OV:62
C.J. MotteAGE:25PO:1OV:54

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
Avery PetersonNew York Rangers9171
Frederik OlofssonNew York Rangers1080
Matthew StromeNew York Rangers1368
Miro HeiskanenNew York Rangers137
Shane EisermanNew York Rangers10158
Ukko-Pekka LuukkonenNew York Rangers1337
Vladimir BobylevNew York Rangers12131
William BorgenNew York Rangers11100

Choix au Repêchage

Année R1R2R3R4R5R6
14NYR NYR NYR Pit NYR NYR NYR
15NYR NYR NYR NYR Bos NYR Pit
16NYR NYR NYR NYR NYR Pit NYR
17NYR NYR NYR NYR NYR NYR
18NYR NYR NYR NYR



[2019-02-02 19:19:10] - TRADE : From Edmonton Oilers to New York Rangers : Yanni Gourde (80).
[2019-02-02 19:19:10] - TRADE : From New York Rangers to Edmonton Oilers : Ryan Murray (77).
[2019-01-22 15:02:18] - TRADE : From New York Rangers to Boston Bruins : Y:18-RND:3-NYR.
[2019-01-22 15:02:18] - TRADE : From Boston Bruins to New York Rangers : Adam McQuaid (74).
[2019-01-01 19:44:35] - TRADE : From New York Rangers to Phoenix Coyotes : Y:18-RND:1-NYR.
[2018-09-29 10:50:39] - Team Name Change : Connecticut Whale changed name to Wolf Pack
[2018-09-25 15:35:42] - TRADE : From New York Rangers to Chicago Blackhawks : Andrew Shaw, David Kampf.
[2018-09-25 15:35:42] - TRADE : From Chicago Blackhawks to New York Rangers : Joshua Ho-Sang, Michael Bunting.
[2018-09-24 15:57:38] - TRADE : From Pittsburgh Penguins to New York Rangers : Avery Peterson (P), Shane Eiserman (P), Y:15-RND:4-Bos, Y:16-RND:5-Pit.
[2018-09-24 15:57:38] - TRADE : From New York Rangers to Pittsburgh Penguins : Tom Pyatt, Mike Cammalleri.
[2018-09-24 15:56:42] - TRADE : From Phoenix Coyotes to New York Rangers : Tyler Gaudet, Y:15-RND:6-Pit.
[2018-09-24 15:56:42] - TRADE : From New York Rangers to Phoenix Coyotes : Nail Yakupov.
[2018-09-22 15:58:08] - Jonathan Marchessault has been selected as assistant for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer as assistant for New York Rangers.
[2018-09-22 15:58:08] - Anze Kopitar has been selected as assistant for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer as assistant for New York Rangers.
[2018-09-22 15:58:08] - Shea Weber has been selected as captain for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer captain for New York Rangers.
[2018-09-18 09:41:47] - General Manager Change : New York Rangers hired general manager Sébastien Lessard
[2018-09-18 09:41:47] - General Manager Change : New York Rangers fired general manager Sach Verville
[2018-09-14 12:15:50] - Jarome Iginla was released.
[2018-09-14 12:15:50] - New York Rangers paid 0 $ to release Jarome Iginla.
[2018-09-09 15:06:43] - C.J. Motte was added to New York Rangers.



[2019-02-15 15:21:48] Auto Lines Partial Function has been run for New York Rangers.
[2019-02-15 15:21:48] Auto Roster Partial Function has been run for New York Rangers.
[2019-02-13 09:49:42] Game 909 - Steve Oleksy from New York Rangers is injured (Separated Right Shoulder) and is out for 2 weeks.
[2019-02-13 09:49:39] Game 726 - Christian Jaros from Wolf Pack is injured (Left Hip) and is out for 6 days.
[2019-02-08 10:29:09] Jonathan Marchessault from New York Rangers has scored a Hat Trick!
[2019-02-08 10:28:38] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-02-08 10:28:38] Colton Hargrove of New York Rangers was sent to pro.
[2019-02-04 09:33:09] Last 30 Days Pro Star : 1 - Nazem Kadri of Edmonton Oilers (9-10-19) / 2 - Anders Lee of Nashville Predators (9-5-14) / 3 - Anze Kopitar of New York Rangers (11-10-21)
[2019-02-04 09:32:58] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-02-04 09:32:58] Luke Kunin of New York Rangers was sent down to farm.
[2019-02-04 09:32:58] Colton Hargrove of New York Rangers was sent down to farm.
[2019-02-04 09:32:54] New York Rangers placed Colton Hargrove on waivers.
[2019-02-02 19:19:10] TRADE : From Edmonton Oilers to New York Rangers : Yanni Gourde (80).
[2019-02-02 19:19:10] TRADE : From New York Rangers to Edmonton Oilers : Ryan Murray (77).
[2019-01-25 15:39:52] Timo Meier from New York Rangers has scored a Hat Trick!
[2019-01-24 17:30:42] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[2019-01-22 15:02:18] TRADE : From New York Rangers to Boston Bruins : Y:18-RND:3-NYR.
[2019-01-22 15:02:18] TRADE : From Boston Bruins to New York Rangers : Adam McQuaid (74).
[2019-01-21 11:37:17] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[2019-01-21 11:37:17] Stephon Williams of New York Rangers was sent to farm.
[2019-01-21 11:37:17] Vincent LoVerde of New York Rangers was sent to pro.
[2019-01-21 11:37:17] Michael Bunting of New York Rangers was sent down to farm.
[2019-01-17 17:48:40] Dylan Larkin from New York Rangers is back from Chest/Ribs Injury.



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
1359272203520190193-3301215021008796-9291570142010397669190337527317154606169855757155718179253162713122136229.11%2485876.61%2963197148.86%1020207549.16%48397649.49%13789491442429740365
Total Saison Régulière59272203520190193-3301215021008796-9291570142010397669190337527317154606169855757155718179253162713122136229.11%2485876.61%2963197148.86%1020207549.16%48397649.49%13789491442429740365