New York Rangers

GP: 30 | W: 15 | L: 13 | OTL: 2 | P: 32
GF: 97 | GA: 108 | PP%: 30.93% | PK%: 75.57%
DG: Sébastien Lessard | Morale : 50 | Moyenne d'Équipe : 71
Prochain matchs #492 vs Phoenix Coyotes
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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)X99.00875587939596959692959399559088156880
2Jonathan Marchessault (A)X99.00945584938091899578948887558180154840
3Dylan LarkinX100.00805585998190929386937691558078145820
4Timo MeierXX99.00975589938086858380718178557672157770
5Joel WardX99.00735587789696867475656876559395147730
6Matt StajanX100.00815577768180737483666581558485127710
7Joshua Ho-SangX99.00655573887675827450776666556864157700
8Dwight KingX100.00865580559785806150555555557472157620
9Mitch CallahanX100.00655569696966766050606160555050157600
10Cody BassX100.00555557697770635550555558557573153590
11Luke Kunin (R)XX100.00565555555555556864606064555050156570
12Mark Olver (R)X100.00605566646360675650555655555353141560
13Shea Weber (C)X100.00815584879897859425817394559295144840
14Ivan ProvorovX100.00905596948295919325807797557978157840
15Oscar KlefbomX100.00775594858792939025756692558078157810
16Marc StaalX100.00815592789184857025646193558987158780
17Ryan MurrayX100.00745597908483848025726182558177158770
18Steve OleksyX100.00555559605959675925595959558175158590
Rayé
1Michael BuntingX100.00605569636963695550555556555050134560
2Colton HargroveX100.00565555555657575550555555557170148550
MOYENNE D'ÉQUIPE99.7574557877797979745369677555757415171
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 Elliott97.0082808185808285808283558686142810
2Alex Lyon100.0070788478696975667070556867156700
Rayé
1Stephon Williams (R)100.0056707077626262626562555961144630
MOYENNE D'ÉQUIPE99.006976788070717469727255717114771
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 RangersC30142539529544113141361069.93%1669523.194812218301171333053.25%106100011.1200100412
2Jonathan MarchessaultNew York RangersLW2315173282554747101325614.85%548721.1925724691013774054.84%3100001.3101001333
3Ivan ProvorovNew York RangersD3091928-6320715382144910.98%5069923.3266125274000095210.00%000000.8000000112
4Ryan MurrayNew York RangersD3052126-423532373372215.15%2559819.9519101272000190100.00%000000.8700001021
5Oscar KlefbomNew York RangersD30715221220393844222415.91%4871823.9662819780000103100.00%000000.6100000300
6Timo MeierNew York RangersLW/RW301011212100784590234711.11%562020.6943714840000772044.74%3800000.6811000023
7Dylan LarkinNew York RangersC2881321-33210299878256010.26%754019.3142616660000680248.33%59800000.7801002021
8Shea WeberNew York RangersD2321618-222050343816455.26%3656624.6129111867000280000.00%000000.6400000000
9Marc StaalNew York RangersD307512-6415552832112021.87%5152617.56123615000049100.00%000000.4600001201
10Joel WardNew York RangersRW305611-120171838203313.16%244914.990221360000110153.85%3900000.4900000000
11Joshua Ho-SangNew York RangersRW303580207122662211.54%052417.490445620000250039.39%6600000.3100000000
12Luke KuninNew York RangersC/RW2834709515201261225.00%331711.340110100000120040.94%14900000.4400001011
13Matt StajanNew York RangersC17347-4401733317249.68%620011.7800014000070053.95%21500000.7000000101
14Dwight KingNew York RangersLW30235-8260514126116.67%242314.13011159000000020.00%2500000.2400000010
15Mitch CallahanNew York RangersRW30235-5809101991810.53%232910.9900000000000038.10%2100000.3000000001
16Steve OleksyNew York RangersD28033-42403177030.00%1636813.170001000005000.00%000000.1600000000
17Vincent LoVerdeWolf Pack (NYR)D902221401753030.00%412413.780000000001000.00%000000.3200000000
18Colton HargroveNew York RangersLW19101-5008220350.00%11367.1800000000050040.00%1000000.1500000000
19Cody BassNew York RangersC28011-82015154350.00%42077.4300000000000032.24%21400000.1000000000
20Mark OlverNew York RangersC13000-560753040.00%0917.0700000000000033.33%5100000.0000000000
21Michael BuntingNew York RangersLW24000-900877450.00%21646.8700000000000029.41%1700000.0000000000
Stats d'équipe Total ou en Moyenne54096173269-523333564763180324756211.96%285879416.293054841917881121384714448.13%253500010.6113106141316
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
1Alex LyonNew York Rangers199520.8903.24111120605440201.00031612200
2Brian ElliottNew York Rangers146800.8793.9669700463810020.00001416100
Stats d'équipe Total ou en Moyenne33151320.8853.521809201069250221.00033028300


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
Alex LyonNew York RangersG241992-12-09No201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$300,000$186,441$No300,000$300,000$
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$4,039,548$No6,500,000$6,500,000$6,500,000$
Brian ElliottNew York RangersG311985-04-08No209 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$1,242,938$No2,000,000$2,000,000$2,000,000$
Cody BassNew York RangersC301987-01-07No203 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$300,000$186,441$No300,000$
Colton HargroveNew York RangersLW241992-06-25No216 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$186,441$No300,000$
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$310,734$No
Dylan LarkinNew York RangersC201996-07-30No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$
Ivan ProvorovNew York RangersD201997-01-13No201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$900,000$
Joel WardNew York RangersRW361980-12-02No226 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,140,000$4,140,000$2,572,881$No4,140,000$
Jonathan MarchessaultNew York RangersLW261990-12-27No184 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$3,107,345$No5,000,000$5,000,000$
Joshua Ho-SangNew York RangersRW201996-01-22No173 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$900,000$
Luke KuninNew York RangersC/RW191997-12-04Yes192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$900,000$900,000$
Marc StaalNew York RangersD301987-01-13No207 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$1,553,672$No2,500,000$
Mark OlverNew York RangersC291988-01-01Yes170 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$500,000$310,734$No500,000$
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$621,469$No1,000,000$
Michael BuntingNew York RangersLW211995-09-17No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm667,000$667,000$414,520$No
Mitch CallahanNew York RangersRW251991-08-16No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$186,441$No300,000$
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,553,672$No
Ryan MurrayNew York RangersD231993-09-26No208 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$1,000,000$621,469$No1,000,000$1,000,000$1,000,000$
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$3,107,345$No5,000,000$
Stephon WilliamsNew York RangersG231993-04-28Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$186,441$No300,000$
Steve OleksyNew York RangersD301986-02-03No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$300,000$186,441$No300,000$300,000$
Timo MeierNew York RangersLW/RW201996-10-08No209 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$186,441$No300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.83201 Lbs6 ft12.481,609,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
37,007,000$33,340,000$18,100,000$10,400,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultAnze KopitarJoshua Ho-Sang36014
2Timo MeierDylan LarkinJoel Ward34014
3Dwight KingMatt StajanMitch Callahan20113
4Luke KuninCody BassMark Olver10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber40113
2Oscar KlefbomMarc Staal35122
3Steve OleksyRyan Murray25122
4Shea WeberIvan Provorov0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Timo MeierAnze KopitarJoel Ward60014
2Dwight KingDylan LarkinJoshua Ho-Sang40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathan MarchessaultShea Weber70023
2Ivan ProvorovRyan Murray30023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJoel Ward60041
2Matt StajanJonathan Marchessault40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc StaalShea Weber60230
2Oscar KlefbomIvan Provorov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60050Marc StaalShea Weber60140
2Dylan Larkin40050Ivan ProvorovOscar Klefbom40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJonathan Marchessault60122
2Dylan LarkinTimo Meier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovOscar Klefbom60122
2Ryan MurrayShea Weber40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarTimo MeierIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarJoel WardMarc StaalShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Timo Meier, Anze Kopitar, Dylan LarkinTimo Meier, Anze KopitarJoshua Ho-Sang
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ivan Provorov, Marc Staal, Ryan MurrayMarc StaalMarc Staal, Ivan Provorov
Tirs de Pénalité
Jonathan Marchessault, Timo Meier, Dylan Larkin, Anze Kopitar, Joshua Ho-Sang
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 Ducks11000000541000000000001100000054121.000510150012202476110281219244250.00%7271.43%045294547.83%518105649.05%25051948.17%2013267126
2Buffalo Sabres20200000510-51010000023-11010000037-400.0005914002030541816200722432478112.50%15380.00%045294547.83%518105649.05%25051948.17%412654152311
3Calgary Flames1010000034-11010000034-10000000000000.000347001110275121003792328400.00%4175.00%045294547.83%518105649.05%25051948.17%2214256126
4Carolina Hurricanes11000000211000000000001100000021121.00024600110024699036108265240.00%4175.00%045294547.83%518105649.05%25051948.17%2214246126
5Chicago Blackhawks1010000025-3000000000001010000025-300.00023500110022109303414824200.00%4175.00%045294547.83%518105649.05%25051948.17%2112247136
6Colorado Avalanche1010000026-41010000026-40000000000000.0002460010102165100251712173133.33%6266.67%045294547.83%518105649.05%25051948.17%2316236126
7Columbus Blue Jackets11000000532000000000001100000053221.0005914004100301091101996204125.00%30100.00%045294547.83%518105649.05%25051948.17%2518226126
8Dallas Stars11000000532110000005320000000000021.000591400122026791003371023000.00%4175.00%045294547.83%518105649.05%25051948.17%2216256126
9Detroit Red Wings10000010651000000000001000001065121.0006915002211241184427111420010.00%4325.00%045294547.83%518105649.05%25051948.17%2214297125
10Edmonton Oilers1010000035-21010000035-20000000000000.0003690001202594120251482011100.00%3166.67%045294547.83%518105649.05%25051948.17%2114267125
11Florida Panthers321000008802110000045-11100000043140.66781523003230622022200802735659444.44%10460.00%045294547.83%518105649.05%25051948.17%654575243818
12Los Angeles Kings11000000633000000000001100000063321.000681400321035131012024712273266.67%60100.00%045294547.83%518105649.05%25051948.17%2417216136
13Montreal Canadiens22000000853110000004221100000043141.000814220040406515242604813183611218.18%8187.50%045294547.83%518105649.05%25051948.17%533942142412
14Nashville Predators1010000024-21010000024-20000000000000.00024610011027116100371210144125.00%5260.00%045294547.83%518105649.05%25051948.17%2215256126
15New York Islanders20100100810-21000010056-11010000034-110.25081624003050661714323711915476233.33%5180.00%045294547.83%518105649.05%25051948.17%443054142512
16Ottawa Senators20001100880100010005411000010034-130.75081523003401521120192561119376233.33%5340.00%045294547.83%518105649.05%25051948.17%473247152612
17Philadelphia Flyers11000000431000000000001100000043121.0004812001030296101303088256116.67%4175.00%045294547.83%518105649.05%25051948.17%2215247125
18San Jose Sharks2110000056-1110000004221010000014-320.500581300041057183090591620477228.57%10190.00%045294547.83%518105649.05%25051948.17%453149132411
19Tampa Bay Lightning11000000321000000000001100000032121.000369001110301111802289165360.00%220.00%045294547.83%518105649.05%25051948.17%2518226126
Total3013130121097108-111558011004553-81585001105255-3320.533971732702036283128032562762659927285335647973030.93%1313275.57%145294547.83%518105649.05%25051948.17%678463753218379183
21Vancouver Canucks1010000013-21010000013-20000000000000.0001230001002389605481616200.00%8187.50%045294547.83%518105649.05%25051948.17%1913277125
22Washington Capitals2020000049-51010000035-21010000014-300.000461010220051212280862323502150.00%9188.89%145294547.83%518105649.05%25051948.17%392654142512
23Winnipeg Jets11000000211110000002110000000000021.0002460020002916112024610185120.00%50100.00%045294547.83%518105649.05%25051948.17%2215247136
_Since Last GM Reset3013130121097108-111558011004553-81585001105255-3320.533971732702036283128032562762659927285335647973030.93%1313275.57%145294547.83%518105649.05%25051948.17%678463753218379183
_Vs Conference1886012106164-3723011002325-21163001103839-1220.611611111721026132024871461651709547163187389622032.26%692071.01%145294547.83%518105649.05%25051948.17%411282452133227109
_Vs Division733001002326-320100100811-3532000001515070.50023436610114802006064733242696016823730.43%25484.00%145294547.83%518105649.05%25051948.17%154105179498943

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3032W49717327080392728533564720
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
301313121097108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
155811004553
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
158501105255
Derniers 10 Matchs
WLOTWOTL SOWSOL
611200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
973030.93%1313275.57%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
25627626593628312
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
45294547.83%518105649.05%25051948.17%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
678463753218379183


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 Coyotes-New York Rangers-
73 - 2018-11-16508Vegas Golden Knights-New York Rangers-
75 - 2018-11-18525Anaheim Ducks-New York Rangers-
79 - 2018-11-22556New York Rangers-Toronto Maple Leafs-
80 - 2018-11-23563Philadelphia Flyers-New York Rangers-
81 - 2018-11-24572Columbus Blue Jackets-New York Rangers-
83 - 2018-11-26592New York Rangers-Nashville Predators-
85 - 2018-11-28610New York Rangers-St. Louis Blues-
87 - 2018-11-30619Pittsburgh Penguins-New York Rangers-
89 - 2018-12-02632New York Rangers-Colorado Avalanche-
91 - 2018-12-04646New York Rangers-Phoenix Coyotes-
93 - 2018-12-06665New York Rangers-Vegas Golden Knights-
95 - 2018-12-08677New York Islanders-New York Rangers-
97 - 2018-12-10695New York Rangers-New York Islanders-
98 - 2018-12-11700New York Rangers-Columbus Blue Jackets-
100 - 2018-12-13718Carolina Hurricanes-New York Rangers-
102 - 2018-12-15731Chicago Blackhawks-New York Rangers-
104 - 2018-12-17740New York Rangers-Boston Bruins-
110 - 2018-12-23775Philadelphia Flyers-New York Rangers-
112 - 2018-12-25779New York Rangers-New Jersey Devils-
114 - 2018-12-27796Tampa Bay Lightning-New York Rangers-
116 - 2018-12-29806Los Angeles Kings-New York Rangers-
118 - 2018-12-31821Boston Bruins-New York Rangers-
120 - 2019-01-02837Carolina Hurricanes-New York Rangers-
122 - 2019-01-04859Toronto Maple Leafs-New York Rangers-
124 - 2019-01-06874New York Rangers-Winnipeg Jets-
127 - 2019-01-09889New York Rangers-Buffalo Sabres-
129 - 2019-01-11909New York Rangers-Pittsburgh Penguins-
131 - 2019-01-13916New York Rangers-Carolina Hurricanes-
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
Assistance86,36271,34428,16157,62314,253
Attendance PCT95.96%95.13%93.87%96.04%95.02%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 17183 - 95.46% 1,074,332$16,114,981$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
15,704,681$ 37,007,000$ 25,217,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
37,007,000$ 13,170,020$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
27,932,634$ 110 246,744$ 27,141,840$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
29,651,106$ 37,007,000$ 115,583,876$ 113,865,404$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jonathan MarchessaultAGE:26PO:1OV:84
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:82
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
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
Shea WeberAGE:31PO:1OV:84
Ivan ProvorovAGE:20PO:1OV:84
Oscar KlefbomAGE:23PO:1OV:81
Marc StaalAGE:30PO:1OV:78
Ryan MurrayAGE:23PO:1OV:77
Steve OleksyAGE:30PO:1OV:59
Vincent LoVerdeAGE:27PO:1OV:57
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:70
*Stephon WilliamsAGE:23PO:1OV:63
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 NYR 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.
[2018-08-28 08:04:51] - David Kampf was added to New York Rangers.
[2018-08-26 10:54:50] - Zach Leslie was released.
[2018-08-26 10:54:50] - New York Rangers paid 0 $ to release Zach Leslie.
[2018-08-25 10:12:14] - New York Rangers hired Peter DeBoer for 6 666 666 $ for 5 year(s).
[2018-08-25 10:12:08] - New York Rangers fired Jack Capuano.
[2018-07-26 08:08:48] - Scott Greenham has been deleted from New York Rangers.
[2018-07-26 08:08:44] - Michael Cammalleri has been deleted from New York Rangers.
[2018-07-26 08:08:41] - Anthony Florentino has been deleted from New York Rangers.
[2018-07-26 08:08:37] - Alexis Pepin has been deleted from New York Rangers.
[2018-07-17 15:22:17] - Zac Leslie was added to New York Rangers.
[2018-07-17 15:16:12] - Mike Cammalleri was added to New York Rangers.
[2018-07-16 20:18:19] - TRADE : From New York Rangers to Buffalo Sabres : Y:13-RND:6-NYR.
[2018-07-16 20:18:19] - TRADE : From Buffalo Sabres to New York Rangers : Y:14-RND:6-NYR.



[2018-12-09 13:57:31] Kenney Morrison from Wolf Pack is back from Sore Right Knee Injury.
[2018-12-09 13:57:29] Christian Jaros from Wolf Pack has scored a Hat Trick!
[2018-12-09 13:57:29] Tyler Gaudet from Wolf Pack has scored a Hat Trick!
[2018-12-06 10:50:41] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[2018-12-03 18:08:21] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[2018-12-03 18:08:20] New York Rangers Email Address was changed to dominiccparent@gmail.com.
[2018-12-01 11:45:17] Anze Kopitar from New York Rangers has scored a Hat Trick!
[2018-11-26 09:36:13] Michael Bunting from New York Rangers is back from Sore Right Knee Injury.
[2018-11-26 09:35:23] Auto Lines Partial Function has been run for New York Rangers.
[2018-11-26 09:35:23] Auto Roster Partial Function has been run for New York Rangers.
[2018-11-25 15:48:48] Joel Ward from New York Rangers is back from Bruised Left Arm Injury.
[2018-11-24 12:15:17] Game 353 - Joel Ward from New York Rangers is injured (Bruised Left Arm) and is out for 4 days.
[2018-11-24 12:15:17] Game 353 - Michael Bunting from New York Rangers is injured (Sore Right Knee) and is out for 5 days.
[2018-11-23 16:39:26] Game 257 - Kenney Morrison from Wolf Pack is injured (Sore Right Knee) and is out for 2 weeks.
[2018-11-23 16:38:02] Alex Lyon from New York Rangers is back from Exhaustion.
[2018-11-23 16:37:45] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-11-23 16:37:45] Stephon Williams of New York Rangers was sent to pro.
[2018-11-23 16:37:45] Vincent LoVerde of New York Rangers was sent down to farm.
[2018-11-23 16:37:38] New York Rangers placed Vincent LoVerde on waivers.
[2018-11-21 22:27:42] Alex Lyon from New York Rangers injured (Exhaustion)
[2018-11-20 18:35:26] C.J. Motte from Wolf Pack is back from Exhaustion.
[2018-11-19 12:24:17] C.J. Motte from Wolf Pack injured (Exhaustion)
[2018-11-18 15:00:49] Shea Weber from New York Rangers is back from Sprained Right Finger Injury.
[2018-11-12 10:32:26] Stephon Williams from Wolf Pack is back from Exhaustion.
[2018-11-11 14:29:14] Matt Stajan from New York Rangers is back from Lacerated Left Calf Injury.
[2018-11-11 14:29:11] Stephon Williams from Wolf Pack injured (Exhaustion)
[2018-11-07 15:25:35] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-11-06 15:09:09] Game 218 - Shea Weber from New York Rangers is injured (Sprained Right Finger) and is out for 2 weeks.
[2018-11-05 16:05:20] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-11-03 12:11:40] Dylan Larkin from New York Rangers is back from Broken Bone (Left Foot) 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
133013130121097108-111558011004553-81585001105255-332971732702036283128032562762659927285335647973030.93%1313275.57%145294547.83%518105649.05%25051948.17%678463753218379183
Total Saison Régulière3013130121097108-111558011004553-81585001105255-332971732702036283128032562762659927285335647973030.93%1313275.57%145294547.83%518105649.05%25051948.17%678463753218379183