New York Rangers

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 5 | GA: 16 | PP%: 5.00% | PK%: 62.50%
DG: Ramon | Morale : 99 | Moyenne d'Équipe : 70
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Ryan Johansen (C)0X100.00767773818379988697847170617273058750
2Patrick Marleau0XX100.00754493808175997465698469619999063741
3Derick Brassard0X100.00784486837478948287778060397881042730
4Jonathan Marchessault0XXX100.00784384836377938073918560386263053730
5Nazem Kadri0X100.00775684846974987688748866457172063731
6William Nylander0XX100.00614095876175997882857562366262066720
7Zach Hyman0XX100.00795486777276996046757183256161064700
8Nick Bjugstad0XX100.00775585838470857562777460676869060700
9Miles Wood0X100.00755670926262926855637662255959063670
10Dominic Moore0X100.00714389807057836185616279458388063670
11Connor Brown0X100.00614092786069996643637075256161063660
12Nick Ritchie0X100.00946174758365946235676463536262056650
13Jared Spurgeon0X100.00754295886291868325735890257274047760
14Ron Hainsey0X100.00764491727984936025594899258585063750
15Dion Phaneuf0X100.00856982808080977125604981258587048742
16Brayden McNabb0X100.00956180807980806025514990256667039720
17Deryk Engelland0X100.00814590677980975725584889257375066720
18Jake Gardiner0X100.00674288886986997725784870257172060720
Rayé
1Mitch Marner (A)0XX100.00634089826074977753887858616060056710
2Mark Jankowski0X100.00655286757265886282607566255353057640
3Matt Bartkowski0X100.00824592697262585325534768256465044620
MOYENNE D'ÉQUIPE100.0076508680727492705470677237707105771
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 Elliott100.0079767580857366787979756971066741
2Garret Sparks100.0069658178707572777776304545063690
Rayé
1Philipp Desrosiers (R)100.0050505050505050505050505050020490
MOYENNE D'ÉQUIPE100.006664696968666368696852555505064
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards55617452455457USA482750,000$


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
1William NylanderNew York RangersC/RW4202-100621421214.29%18421.06101117000000057.14%723000.4700000100
2Jared SpurgeonNew York RangersD4022100666110.00%58220.540000000028000.00%023000.4900000000
3Mitch MarnerNew York RangersC/RW31011403482412.50%14013.4400016000020050.00%210000.5000000000
4Derick BrassardNew York RangersC4101-20035101510.00%25914.8400003000130050.00%3420000.3400000000
5Jonathan MarchessaultNew York RangersC/LW/RW401100010813470.00%09624.230007180000140044.44%900000.2100000000
6Nazem KadriNew York RangersC4011-2808106220.00%07619.17000015000050062.50%4801000.2600000000
7Brayden McNabbNew York RangersD4011-32011104120.00%310125.32011224000014000.00%022000.2000000000
8Ryan JohansenNew York RangersC41011955913357.69%08922.350001160000120060.94%12822000.2200001000
9Miles WoodNew York RangersLW4000-300538020.00%04210.510000300003000.00%150000.0000000000
10Dion PhaneufNew York RangersD4000-340462100.00%37418.7000001000000000.00%020000.0000000000
11Dominic MooreNew York RangersC4000-320241120.00%1348.7000000000000061.11%1800000.0000000000
12Zach HymanNew York RangersLW/RW4000-200563200.00%55814.5300004000000050.00%211000.0000000000
13Connor BrownNew York RangersRW4000-300321210.00%0348.67000010000000100.00%100000.0000000000
14Patrick MarleauNew York RangersC/LW4000-1007510230.00%27418.6800001500014000.00%221000.0000000000
15Ron HainseyNew York RangersD4000-120544010.00%17619.030000800007000.00%004000.0000000000
16Nick RitchieNew York RangersLW1000-100213010.00%01010.570000000000000.00%010000.0000000000
17Deryk EngellandNew York RangersD4000-355684230.00%110025.04000223000015000.00%025000.0000100000
18Jake GardinerNew York RangersD4000-320268010.00%78320.820000100001000.00%111000.0000000000
19Nick BjugstadNew York RangersC/RW4000-240418350.00%05213.100000000000000.00%111000.0000000000
Stats d'équipe Total ou en Moyenne725510-3042109710012629573.97%32127217.67112141710004960057.87%2542624000.1600101100
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 Rangers30210.8703.92199001310049100.000031000
2Garret SparksNew York Rangers10100.9033.00600033116000.000013000
Stats d'équipe Total ou en Moyenne40310.8783.71259001613165100.000044000


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
Brayden McNabbNew York RangersD2820.01.1991No212 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm3,200,000$3,200,000$0$NoLien
Brian ElliottNew York RangersG3409.04.1985No209 Lbs6 ft2NoNoNo2Sans RestrictionPro Only4,000,000$4,000,000$0$NoLien
Connor BrownNew York RangersRW2514.01.1994No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm3,200,000$3,200,000$0$NoLien
Derick BrassardNew York RangersC3121.09.1987No204 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm4,400,000$4,400,000$0$NoLien
Deryk EngellandNew York RangersD3702.04.1982No214 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,200,000$2,200,000$0$NoLien
Dion PhaneufNew York RangersD3410.04.1985No225 Lbs6 ft4NoNoNo2Sans RestrictionPro Only2,750,000$2,750,000$0$NoLien
Dominic MooreNew York RangersC3802.08.1980No192 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm450,000$450,000$0$NoLien
Garret SparksNew York RangersG2528.06.1993No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm450,000$450,000$0$NoLien
Jake GardinerNew York RangersD2804.07.1990No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm4,050,000$4,050,000$0$NoLien
Jared SpurgeonNew York RangersD2928.11.1989No164 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm5,200,000$5,200,000$0$NoLien
Jonathan MarchessaultNew York RangersC/LW/RW2827.12.1990No174 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm4,000,000$4,000,000$0$NoLien
Mark JankowskiNew York RangersC2413.09.1994No185 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,800,000$1,800,000$0$NoLien
Matt BartkowskiNew York RangersD3104.06.1988No196 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm650,000$650,000$0$NoLien
Miles WoodNew York RangersLW2313.09.1995No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$500,000$0$NoLien
Mitch MarnerNew York RangersC/RW2205.05.1997No170 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,500,000$1,500,000$0$NoLien
Nazem KadriNew York RangersC2806.10.1990No195 Lbs6 ft0NoNoNo1Avec RestrictionPro Only4,400,000$4,400,000$0$NoLien
Nick BjugstadNew York RangersC/RW2617.07.1992No218 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm4,400,000$4,400,000$0$NoLien
Nick RitchieNew York RangersLW2305.12.1995No232 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,640,000$1,640,000$0$NoLien
Patrick MarleauNew York RangersC/LW3915.09.1979No215 Lbs6 ft2NoNoNo2Sans RestrictionPro Only6,250,000$6,250,000$0$NoLien
Philipp DesrosiersNew York RangersG2316.08.1995 17:12:45Yes197 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm715,000$715,000$0$No
Ron HainseyNew York RangersD3824.03.1981No210 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm3,750,000$3,750,000$0$NoLien
Ryan JohansenNew York RangersC2630.07.1992No218 Lbs6 ft3YesNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$0$NoLien
William NylanderNew York RangersC/RW2301.05.1996No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm7,514,934$7,514,934$0$NoLien
Zach HymanNew York RangersLW/RW2609.06.1992No210 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm2,250,000$2,250,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2428.71201 Lbs6 ft21.753,136,247$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
75,269,934$45,229,934$17,129,934$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultRyan JohansenWilliam Nylander35014
2Patrick MarleauNazem KadriNick Ritchie30014
3Zach HymanDerick BrassardNick Bjugstad25221
4Miles WoodDominic MooreConnor Brown10320
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jared SpurgeonRon Hainsey30131
2Brayden McNabbDeryk Engelland30230
3Jake GardinerDion Phaneuf30131
4Jake GardinerJared Spurgeon10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultRyan JohansenWilliam Nylander60122
2Patrick MarleauNazem KadriRyan Johansen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brayden McNabbDeryk Engelland60122
2Brayden McNabbDeryk Engelland40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan JohansenJonathan Marchessault60122
2Nazem KadriPatrick Marleau40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brayden McNabbDeryk Engelland60122
2Jared SpurgeonRon Hainsey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Johansen60122Deryk EngellandBrayden McNabb60122
2Patrick Marleau40122Jared SpurgeonRon Hainsey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan JohansenJonathan Marchessault60122
2Nazem KadriPatrick Marleau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake GardinerJared Spurgeon60122
2Brayden McNabbRon Hainsey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultRyan JohansenWilliam NylanderJake GardinerJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultRyan JohansenWilliam NylanderJared SpurgeonRon Hainsey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nazem Kadri, William Nylander, Ryan JohansenNazem Kadri, William NylanderNazem Kadri
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Deryk Engelland, Jake Gardiner, Ron HainseyDeryk EngellandDeryk Engelland, Jake Gardiner
Tirs de Pénalité
Ryan Johansen, Jonathan Marchessault, Patrick Marleau, Derick Brassard, Nazem Kadri
Gardien
#1 : Garret Sparks, #2 : Brian Elliott


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
1New York Islanders40400000516-112020000029-72020000037-400.000551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838
Total40400000516-112020000029-72020000037-400.000551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838
_Since Last GM Reset40400000516-112020000029-72020000037-400.000551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838
_Vs Conference40400000516-112020000029-72020000037-400.000551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838
_Vs Division40400000516-112020000029-72020000037-400.000551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L2551012613132429700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000516
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000029
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000037
Derniers 10 Matchs
WLOTWOTL SOWSOL
030100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2015.00%16662.50%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
25464781310
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
5610254.90%579162.64%346155.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
894791407838


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 - 2018-10-038New York Rangers0New York Islanders3LR3Sommaire du Match
4 - 2018-10-0516New York Rangers3New York Islanders4LXSommaire du Match
6 - 2018-10-0724New York Islanders6New York Rangers1LR3Sommaire du Match
8 - 2018-10-0932New York Islanders3New York Rangers1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna62805000200040001000
Prix des Billets140805035250
Assistance11,4559,5013,6967,0991,994
Attendance PCT91.20%95.01%92.40%88.74%99.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 16873 - 92.30% 1,977,327$3,954,654$18280100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 75,269,934$ 65,944,167$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 24 0

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 49,285,064$ 49,285,064$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Patrick MarleauAGE:39PO:0OV:74
Jonathan MarchessaultAGE:28PO:0OV:73
Zach HymanAGE:26PO:0OV:70
Miles WoodAGE:23PO:0OV:67
Nick RitchieAGE:23PO:0OV:65
Jacob de La RoseAGE:24PO:0OV:64
Kasperi KapanenAGE:22PO:0OV:64
Tyler MotteAGE:24PO:0OV:62
*Brett PollockAGE:23PO:0OV:58
*Trevor MooreAGE:24PO:0OV:58
*Mason MarchmentAGE:24PO:0OV:56
*Justin ScottAGE:23PO:0OV:55
*Jens LookeAGE:22PO:0OV:55
Zach SanfordAGE:24PO:0OV:53
David BrollAGE:26PO:0OV:51
Troy BourkeAGE:25PO:0OV:48
*Matt DeBlouwAGE:25PO:0OV:48
Roman HorakAGE:28PO:0OV:48
Nicklas JensenAGE:26PO:0OV:48
Louis-Marc AubryAGE:27PO:0OV:48
Ryan JohansenAGE:26PO:0OV:75
Patrick MarleauAGE:39PO:0OV:74
Derick BrassardAGE:31PO:0OV:73
Jonathan MarchessaultAGE:28PO:0OV:73
Nazem KadriAGE:28PO:0OV:73
William NylanderAGE:23PO:0OV:72
Mitch MarnerAGE:22PO:0OV:71
Nick BjugstadAGE:26PO:0OV:70
Dominic MooreAGE:38PO:0OV:67
Mark JankowskiAGE:24PO:0OV:64
Jacob de La RoseAGE:24PO:0OV:64
Michael AmadioAGE:23PO:0OV:58
*Dominic ToninatoAGE:25PO:0OV:58
Steven FogartyAGE:26PO:0OV:58
*Justin ScottAGE:23PO:0OV:55
*Jordan MalettaAGE:24PO:0OV:54
Zach SanfordAGE:24PO:0OV:53
Troy BourkeAGE:25PO:0OV:48
Roman HorakAGE:28PO:0OV:48
Louis-Marc AubryAGE:27PO:0OV:48
*Johan SundstromAGE:26PO:0OV:48
Jonathan MarchessaultAGE:28PO:0OV:73
William NylanderAGE:23PO:0OV:72
Mitch MarnerAGE:22PO:0OV:71
Zach HymanAGE:26PO:0OV:70
Nick BjugstadAGE:26PO:0OV:70
Connor BrownAGE:25PO:0OV:66
Kasperi KapanenAGE:22PO:0OV:64
Brett RitchieAGE:25PO:0OV:63
Tyler MotteAGE:24PO:0OV:62
*Jeremy BraccoAGE:22PO:0OV:59
*Brett PollockAGE:23PO:0OV:58
Michael AmadioAGE:23PO:0OV:58
*Justin ScottAGE:23PO:0OV:55
*Jens LookeAGE:22PO:0OV:55
Phil LaneAGE:27PO:0OV:55
*Matt DeBlouwAGE:25PO:0OV:48
Nicklas JensenAGE:26PO:0OV:48
*Johan SundstromAGE:26PO:0OV:48

Défense #1Défense #2Gardien
Jared SpurgeonAGE:29PO:0OV:76
Ron HainseyAGE:38PO:0OV:75
Dion PhaneufAGE:34PO:0OV:74
Brayden McNabbAGE:28PO:0OV:72
Deryk EngellandAGE:37PO:0OV:72
Jake GardinerAGE:28PO:0OV:72
Travis DermottAGE:22PO:0OV:64
Carl DahlstromAGE:24PO:0OV:64
*Andreas BorgmanAGE:23PO:0OV:62
Matt BartkowskiAGE:31PO:0OV:62
*Calle RosenAGE:25PO:0OV:57
Andrew NielsenAGE:22PO:0OV:57
*Timothy LiljegrenAGE:20PO:0OV:57
*Robin NorellAGE:24PO:0OV:56
Mathieu BrodeurAGE:28PO:0OV:55
*Travis BrownAGE:25PO:0OV:48
*Chris MartenetAGE:22PO:0OV:48
*Teemu KivihalmeAGE:23PO:0OV:48
Taylor AronsonAGE:27PO:0OV:48
Brian ElliottAGE:34PO:0OV:74
Garret SparksAGE:25PO:0OV:69
Craig AndersonAGE:38PO:0OV:65
*Matiss KivlenieksAGE:22PO:0OV:55
Brandon HalversonAGE:23PO:0OV:54
*Elvis MerzlikinsAGE:25PO:0OV:49
*Philipp DesrosiersAGE:23PO:0OV:49

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
Adam ParsellsNew York Rangers2015188
Alexander DergachyovNew York Rangers201590
Blake HillmanNew York Rangers2016174
Bogdan KiselevichNew York Rangers2017undrafted UFA
Brent GatesNew York Rangers201592
Cedric PareNew York Rangers2017203
Chris Van Os-ShawNew York Rangers2018undrafted UFA 450.000
Connor DewarNew York Rangers2018117
Filip JohanssonNew York Rangers201841
Fredrik KarlstromNew York Rangers201686
Hudson ElynuikNew York Rangers201688
Igor OzhiganovNew York Rangers2016undrafted UFA
Jakub GalvasNew York Rangers2017172
Joey DudekNew York Rangers2014157
Joseph CecconiNew York Rangers2015158
Joseph MasoniusNew York Rangers2016190
Joseph WollNew York Rangers201677
Michael ForaNew York Rangers2018undrafted UFA 450.000
Michael KesselringNew York Rangers2018180
Nick PastujovNew York Rangers2016202
Nico SturmNew York Rangers2019450
Noah DelmasNew York Rangers2018undrafted UFA 450.000
Sahvan KhairaNew York Rangers2018undrafted UFA 450.000
Samuel Dove-McFallsNew York Rangers2015102
Thomas NovakNew York Rangers201589
Vladimir BobylevNew York Rangers2016130
Yegor KorshkovNew York Rangers201650

Choix au Repêchage

Année R1R2R3R4R5R6R7
2019BOS NYR NYR PIT PIT NYR
2020NYR NYR NYR NYR NYR NYR
2021NYR NYR NYR NYR NYR NYR NYR
2022NYR NYR NYR NYR NYR NYR NYR
2023NYR NYR NYR NYR NYR NYR NYR



[17.04.2019 21:43:58] - New York Rangers was eliminated at round 1 of year 2018.
[08.04.2019 23:05:15] - Quebec Aces didn't make playoff for year 2018.
[24.03.2019 08:50:20] - Nico Sturm has been added to New York Rangers.
[08.03.2019 23:11:32] - Marc Methot was released.
[08.03.2019 23:11:32] - New York Rangers paid 0 € to release Marc Methot.
[22.02.2019 22:36:59] - TRADE : From New York Rangers to Carolina Hurricanes : Nikita Zaitsev (72), Colin White (60).
[22.02.2019 22:36:59] - TRADE : From Carolina Hurricanes to New York Rangers : Dion Phaneuf (74), Jonathan Marchessault (73).
[07.02.2019 16:25:01] - TRADE : From New York Rangers to Boston Bruins : Petr Mrazek (66).
[07.02.2019 16:25:01] - TRADE : From Boston Bruins to New York Rangers : Derick Brassard (73).
[22.01.2019 22:07:58] - TRADE : From New York Rangers to Pittsburgh Penguins : Jordin Tootoo (48).
[22.01.2019 22:07:58] - TRADE : From Pittsburgh Penguins to New York Rangers : Y:2019-RND:7-PIT.
[20.01.2019 23:29:30] - TRADE : From New York Rangers to Boston Bruins : Bobby Farnham (58), Linus Nassen (P), Y:2020-RND:2-NYR.
[20.01.2019 23:29:30] - TRADE : From Boston Bruins to New York Rangers : Brayden McNabb (72), Y:2019-RND:5-BOS.
[15.11.2018 21:40:46] - TRADE : From Florida Panthers to New York Rangers : Elvis Merzlikins (49).
[15.11.2018 21:40:46] - TRADE : From New York Rangers to Florida Panthers : 20.000 € (Money).
[15.11.2018 21:39:37] - Bobby Sanguinetti was released.
[15.11.2018 21:39:37] - New York Rangers paid 0 € to release Bobby Sanguinetti.
[18.10.2018 23:24:23] - TRADE : From New York Rangers to Winnipeg Jets : Ryan Murray (70), Y:2019-RND:3-NYR.
[18.10.2018 23:24:23] - TRADE : From Winnipeg Jets to New York Rangers : Brett Ritchie (63), Nick Ritchie (66).
[04.10.2018 20:06:22] - William Nylander signed with New York Rangers for 1.650.000 € for 1 year(s) / Signing Bonus of 247.500 €.
[04.10.2018 20:06:22] - William Nylander was added to New York Rangers.
[17.09.2018 08:23:32] - Marc Methot signed with New York Rangers for 2.000.000 € for 2 year(s) with 0 € in bonus.
[17.09.2018 08:23:32] - Marc Methot was added to New York Rangers.
[16.09.2018 22:49:33] - Patrick Marleau signed with New York Rangers for 6.250.000 € for 2 year(s) with 0 € in bonus.
[16.09.2018 22:49:33] - Patrick Marleau was added to New York Rangers.
[16.09.2018 22:43:50] - Dominic Moore signed with New York Rangers for 450.000 € for 1 year(s) with 0 € in bonus.
[16.09.2018 22:43:50] - Dominic Moore was added to New York Rangers.
[16.09.2018 22:42:53] - Deryk Engelland signed with New York Rangers for 2.200.000 € for 1 year(s) with 0 € in bonus.
[16.09.2018 22:42:53] - Deryk Engelland was added to New York Rangers.
[13.09.2018 19:12:44] - Brian Elliott signed with New York Rangers for 4.000.000 € for 2 year(s) with 0 € in bonus.
[13.09.2018 19:12:44] - Brian Elliott was added to New York Rangers.



[07.05.2019 22:22:53] Mitch Marner from New York Rangers is back from Torn Left Knee Ligaments Injury.
[17.04.2019 21:43:51] Auto Lines Partial Function has been run for New York Rangers.
[17.04.2019 21:43:51] Auto Roster Partial Function has been run for New York Rangers.
[17.04.2019 21:43:51] New York Rangers roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[16.04.2019 22:58:28] Brian Elliott from New York Rangers is back from Exhaustion.
[15.04.2019 22:56:13] Brian Elliott from New York Rangers injured (Exhaustion)
[15.04.2019 22:56:12] Game 24 - Mitch Marner from New York Rangers is injured (Torn Left Knee Ligaments) and is out for 3 weeks.
[14.04.2019 00:23:59] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[06.04.2019 23:05:22] Successfully loaded New York Rangers lines done with STHS Client - 3.1.6.6
[05.04.2019 22:44:48] Jared Spurgeon from New York Rangers is back from Exhaustion.
[03.04.2019 22:30:58] Jared Spurgeon from New York Rangers is injured from Exhaustion.
[03.04.2019 22:30:52] Auto Lines Partial Function has been run for New York Rangers.
[03.04.2019 22:30:52] Auto Roster Partial Function has been run for New York Rangers.
[03.04.2019 22:30:52] New York Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[02.04.2019 21:16:51] Jared Spurgeon 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
201840400000516-112020000029-72020000037-40551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838
Total Séries40400000516-112020000029-72020000037-40551000131012625464781313242972015.00%16662.50%05610254.90%579162.64%346155.74%894791407838