New York Rangers

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 16 | GA: 25 | PP%: 31.82% | PK%: 75.00%
DG: Sébastien Lessard | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #89 vs Washington Capitals
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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)X99.0087558793959695969295939955908814800
2Joshua Ho-SangX99.0065557388767582745077666655686414800
3Timo MeierXX99.0097558993808685838071817855767214800
4Colton HargroveX100.0056555555565757555055555555717015300
5Dylan LarkinX100.0080558599819092938693769155807814800
6Luke Kunin (R)XX100.0056555555555555686460606455505014800
7Michael BuntingX100.0060556963696369555055555655505014800
8Dwight KingX100.0086558055978580615055555555747214800
9Joel WardX100.0073558778969686747565687655939514800
10Mitch CallahanX100.0065556969696676605060616055505014800
11Cody BassX100.0055555769777063555055555855757314400
12Matt StajanX100.0081557776818073748366658155848513400
13Shea Weber (C)X100.0081558487989785942581739455929514800
14Ivan ProvorovX100.0090559694829591932580779755797814800
15Oscar KlefbomX100.0077559485879293902575669255807814800
16Ryan MurrayX100.0074559790848384802572618255817714800
17Marc StaalX100.0081559278918485702564619355898714800
18Steve OleksyX100.0055555960595967592559595955817514900
Rayé
1Mark Olver (R)X100.0060556664636067565055565555535314900
2Jonathan Marchessault (A)X73.4894558493809189957894888755818013900
3Vincent LoVerdeX100.0060556061726567602560605555535314300
MOYENNE D'ÉQUIPE98.577355777678787874526966745574731470
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Alex Lyon100.007078847869697566707055686714800
2Brian Elliott100.008280818580828580828355868613800
Rayé
MOYENNE D'ÉQUIPE100.00767983827576807376775577771430
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 RangersC6167120721275273.70%514023.331126170004280047.29%20300001.0000000001
2Jonathan MarchessaultNew York RangersLW53472601171710617.65%29619.230224140000110040.00%500001.4600000100
3Timo MeierNew York RangersLW/RW6325200136181716.67%111919.972025160000121057.14%700000.8300000001
4Ivan ProvorovNew York RangersD6235-512014122011010.00%1512621.061341415000019100.00%000000.7900000010
5Oscar KlefbomNew York RangersD6235-1208786425.00%1215025.01202318000025000.00%000000.6700000000
6Shea WeberNew York RangersD6134-280136114119.09%1114924.96123518000124000.00%000000.5300000000
7Joshua Ho-SangNew York RangersRW6123-3001370614.29%08914.95011110000020047.83%2300000.6700000000
8Dylan LarkinNew York RangersC6123-660820205155.00%113222.110113170000260150.00%12400000.4500000000
9Joel WardNew York RangersRW6033-22053105120.00%08414.10022116000050053.85%1300000.7100000000
10Ryan MurrayNew York RangersD6033-440497050.00%812821.40022315000122000.00%000000.4700000000
11Marc StaalNew York RangersD6202-24010481725.00%108614.430000000007000.00%000000.4600000000
12Colton HargroveNew York RangersLW1000000000000.00%066.83000000000000100.00%100000.0000000000
13Luke KuninNew York RangersC/RW6000-120710220.00%06611.1200000000020033.33%600000.0000000000
14Mark OlverNew York RangersC5000-340242030.00%0387.6200000000000035.14%3700000.0000000000
15Michael BuntingNew York RangersLW6000-400323120.00%0508.3900000000000014.29%700000.0000000000
16Dwight KingNew York RangersLW6000-5801101100.00%07813.130000100000000.00%600000.0000000000
17Mitch CallahanNew York RangersRW6000-420013240.00%1498.310000000000000.00%100000.0000000000
18Cody BassNew York RangersC4000000430010.00%0297.3100000000000048.28%2900000.0000000000
19Steve OleksyNew York RangersD4000-220410010.00%05413.730000000000000.00%000000.0000000000
20Vincent LoVerdeNew York RangersD2000020300000.00%02311.840000000000000.00%000000.0000000000
21Matt StajanNew York RangersC3000-120253140.00%23913.0900014000050051.11%4500000.0000000000
Stats d'équipe Total ou en Moyenne108163147-40680130115165451279.70%68174116.13714214616800061952146.55%50700000.5400000112
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 Rangers62400.8614.3726100191370010.000060100
2Alex LyonNew York Rangers20000.8813.0698005420000.000006000
Stats d'équipe Total ou en Moyenne82400.8664.0135900241790010.000066100


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$277,966$No300,000$300,000$
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$6,022,599$No6,500,000$6,500,000$6,500,000$
Brian ElliottNew York RangersG311985-04-08No209 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$1,853,107$No2,000,000$2,000,000$2,000,000$
Cody BassNew York RangersC301987-01-07No203 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$300,000$277,966$No300,000$
Colton HargroveNew York RangersLW241992-06-25No216 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$277,966$No300,000$
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$463,277$No
Dylan LarkinNew York RangersC201996-07-30No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$
Ivan ProvorovNew York RangersD201997-01-13No201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$
Joel WardNew York RangersRW361980-12-02No226 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,140,000$4,140,000$3,835,932$No4,140,000$
Jonathan Marchessault (Sur la Masse Salariale)New York RangersLW261990-12-27No184 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm5,000,000$0$0$Yes5,000,000$5,000,000$
Joshua Ho-SangNew York RangersRW201996-01-22No173 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$
Luke KuninNew York RangersC/RW191997-12-04Yes192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$900,000$
Marc StaalNew York RangersD301987-01-13No207 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$
Mark OlverNew York RangersC291988-01-01Yes170 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$500,000$463,277$No500,000$
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$
Michael BuntingNew York RangersLW211995-09-17No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm667,000$667,000$618,011$No
Mitch CallahanNew York RangersRW251991-08-16No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$277,966$No300,000$
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No
Ryan MurrayNew York RangersD231993-09-26No208 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$1,000,000$
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$
Steve OleksyNew York RangersD301986-02-03No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$300,000$277,966$No300,000$300,000$
Timo MeierNew York RangersLW/RW201996-10-08No209 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$277,966$No300,000$300,000$
Vincent LoVerdeNew York RangersD271989-04-13No205 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$500,000$463,277$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2326.00202 Lbs6 ft12.571,617,696$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
37,207,000$33,540,000$18,600,000$10,900,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Timo MeierAnze KopitarJoshua Ho-Sang36014
2Dwight KingDylan LarkinJoel Ward32014
3Luke KuninMatt StajanMitch Callahan22113
4Michael BuntingCody BassColton Hargrove10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberOscar Klefbom40113
2Ivan ProvorovRyan Murray35122
3Steve OleksyMarc Staal25122
4Oscar KlefbomShea Weber0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Timo MeierAnze KopitarJoshua Ho-Sang60014
2Dwight KingDylan LarkinJoel Ward40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberOscar Klefbom60023
2Ivan ProvorovRyan Murray40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarTimo Meier60122
2Dylan LarkinJoshua Ho-Sang40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oscar KlefbomShea Weber60122
2Ryan MurrayIvan Provorov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dylan Larkin60122Ryan MurrayIvan Provorov60122
2Anze Kopitar40122Shea WeberOscar Klefbom40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan LarkinTimo Meier60122
2Anze KopitarJoshua Ho-Sang40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberOscar Klefbom60122
2Ryan MurrayIvan Provorov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJoshua Ho-SangIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJoshua Ho-SangIvan ProvorovShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Larkin, Anze Kopitar, Joshua Ho-SangDylan Larkin, Anze KopitarDylan Larkin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ivan Provorov, Marc Staal, Shea WeberMarc StaalMarc Staal, Ivan Provorov
Tirs de Pénalité
Dylan Larkin, Timo Meier, Joel Ward, 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
1Buffalo Sabres1010000037-4000000000001010000037-400.000369001020291199033918255120.00%8275.00%09820348.28%9520745.89%439744.33%2113257126
2Carolina Hurricanes11000000211000000000001100000021121.00024600110024699036108265240.00%4175.00%09820348.28%9520745.89%439744.33%2214246126
3Colorado Avalanche1010000026-41010000026-40000000000000.0002460010102165100251712173133.33%6266.67%09820348.28%9520745.89%439744.33%2316236126
4Edmonton Oilers1010000035-21010000035-20000000000000.0003690001202594120251482011100.00%3166.67%09820348.28%9520745.89%439744.33%2114267125
5Nashville Predators1010000024-21010000024-20000000000000.00024610011027116100371210144125.00%5260.00%09820348.28%9520745.89%439744.33%2215256126
6San Jose Sharks11000000422110000004220000000000021.00047110003103912225024612284125.00%60100.00%09820348.28%9520745.89%439744.33%2618216126
Total624000001625-9413000001117-62110000058-340.3331631471036701655555550180686813022731.82%32875.00%09820348.28%9520745.89%439744.33%13792146417537
_Since Last GM Reset624000001625-9413000001117-62110000058-340.3331631471036701655555550180686813022731.82%32875.00%09820348.28%9520745.89%439744.33%13792146417537
_Vs Conference2110000058-3000000000002110000058-320.500510150021205317181806919265110330.00%12375.00%09820348.28%9520745.89%439744.33%442750142512
_Vs Division11000000211000000000001100000021121.00024600110024699036108265240.00%4175.00%09820348.28%9520745.89%439744.33%2214246126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L2163147165180686813010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400001625
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001117
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000058
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
22731.82%32875.00%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
55555503670
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
9820348.28%9520745.89%439744.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13792146417537


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 Rangers-Washington Capitals-
18 - 2018-09-22117Calgary Flames-New York Rangers-
20 - 2018-09-24128Florida Panthers-New York Rangers-
22 - 2018-09-26138New York Rangers-Chicago Blackhawks-
25 - 2018-09-29163New York Rangers-Los Angeles Kings-
27 - 2018-10-01176New York Rangers-San Jose Sharks-
29 - 2018-10-03179New York Rangers-Anaheim Ducks-
32 - 2018-10-06208Buffalo Sabres-New York Rangers-
34 - 2018-10-08218Montreal Canadiens-New York Rangers-
37 - 2018-10-11237New York Rangers-Detroit Red Wings-
38 - 2018-10-12245New York Rangers-Columbus Blue Jackets-
40 - 2018-10-14263Vancouver Canucks-New York Rangers-
43 - 2018-10-17281New York Rangers-New York Islanders-
45 - 2018-10-19298Florida Panthers-New York Rangers-
47 - 2018-10-21311Dallas Stars-New York Rangers-
49 - 2018-10-23328New York Islanders-New York Rangers-
50 - 2018-10-24341New York Rangers-Philadelphia Flyers-
51 - 2018-10-25353Washington Capitals-New York Rangers-
53 - 2018-10-27365Ottawa Senators-New York Rangers-
56 - 2018-10-30386New York Rangers-Ottawa Senators-
58 - 2018-11-01400New York Rangers-Montreal Canadiens-
59 - 2018-11-02411Winnipeg Jets-New York Rangers-
65 - 2018-11-08450New York Rangers-Florida Panthers-
67 - 2018-11-10464New York Rangers-Tampa Bay Lightning-
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
Assistance22,14419,1777,37215,5193,702
Attendance PCT92.27%95.89%92.15%96.99%92.55%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 16979 - 94.33% 1,051,610$4,206,438$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,076,596$ 32,207,000$ 24,292,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
32,207,000$ 2,581,304$ 0$ 22 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
38,909,552$ 164 219,625$ 36,018,500$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
39,592,707$ 32,207,000$ 117,369,657$ 116,686,502$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Timo MeierAGE:20PO:1OV:0
Colton HargroveAGE:24PO:1OV:0
Michael BuntingAGE:21PO:1OV:0
Dwight KingAGE:27PO:1OV:0
Jonathan MarchessaultAGE:26PO:1OV:0
Anze KopitarAGE:29PO:1OV:0
Dylan LarkinAGE:20PO:1OV:0
*Luke KuninAGE:19PO:1OV:0
*Mark OlverAGE:29PO:1OV:0
Cody BassAGE:30PO:1OV:0
Tyler GaudetAGE:23PO:1OV:0
Matt StajanAGE:33PO:1OV:0
Joshua Ho-SangAGE:20PO:1OV:0
Timo MeierAGE:20PO:1OV:0
*Luke KuninAGE:19PO:1OV:0
Joel WardAGE:36PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0

Défense #1Défense #2Gardien
Adam PardyAGE:32PO:1OV:0
Kenney MorrisonAGE:24PO:1OV:0
Shea WeberAGE:31PO:1OV:0
Ivan ProvorovAGE:20PO:1OV:0
Oscar KlefbomAGE:23PO:1OV:0
*Simon BourqueAGE:20PO:1OV:0
*Christian JarosAGE:20PO:1OV:0
Ryan MurrayAGE:23PO:1OV:0
Zac LeslieAGE:22PO:1OV:0
Marc StaalAGE:30PO:1OV:0
Steve OleksyAGE:30PO:1OV:0
Vincent LoVerdeAGE:27PO:1OV:0
Viktor LoovAGE:24PO:1OV:0
Alex LyonAGE:24PO:1OV:0
C.J. MotteAGE:25PO:1OV:0
*Stephon WilliamsAGE:23PO:1OV:0
Brian ElliottAGE:31PO:1OV:0

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
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.
[2018-07-16 20:16:14] - Luke Kunin was added to New York Rangers.
[2018-07-16 20:16:14] - Simon Bourque was added to New York Rangers.
[2018-07-16 20:16:14] - Christian Jaros was added to New York Rangers.



[2018-10-16 19:40:01] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-10-16 19:40:01] Colton Hargrove of New York Rangers was sent to pro.
[2018-10-13 15:15:43] Cody Bass from New York Rangers is back from Sprained Left Knee Injury.
[2018-10-13 15:15:42] Game 66 - Jonathan Marchessault from New York Rangers is injured (Fractured Right Foot) and is out for 2 weeks.
[2018-10-13 15:15:42] Game 66 - Cody Bass from New York Rangers is injured (Sprained Left Knee) and is out for the game.
[2018-10-08 12:10:21] Matt Stajan from New York Rangers is back from Groin Injury.
[2018-10-07 12:35:06] Cody Bass of New York Rangers was sent to pro.
[2018-10-07 12:34:27] Auto Lines Partial Function has been run for New York Rangers.
[2018-10-07 12:34:27] Auto Roster Partial Function has been run for New York Rangers.
[2018-10-06 13:11:06] Game 18 - Matt Stajan from New York Rangers is injured (Groin) and is out for 5 days.
[2018-10-05 17:50:56] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-29 10:08:57] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-29 10:08:57] Michael Bunting of New York Rangers was sent to pro.
[2018-09-26 15:09:55] Auto Lines Partial Function has been run for New York Rangers.
[2018-09-26 15:09:55] Auto Roster Partial Function has been run for New York Rangers.
[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.
[2018-09-25 15:34:44] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-25 15:34:44] Mitch Callahan of New York Rangers was sent to pro.
[2018-09-25 15:34:44] Mark Olver of New York Rangers was sent to pro.
[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.
[2018-09-24 15:55:26] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-23 12:42:46] Anze Kopitar from New York Rangers has scored a Hat Trick!
[2018-09-22 15:58:08] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-20 09:43:41] Anze Kopitar from New York Rangers has scored a Hat Trick!
[2018-09-20 09:43:25] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-19 09:53:48] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-19 09:53:48] New York Rangers Email Address was changed to lemasterderien@hotmail.com.
[2018-09-18 09:41:30] New York Rangers Email Address was changed to .
[2018-09-18 09:14:43] Successfully loaded New York Rangers lines done with STHS Client - 3.1.2.2
[2018-09-18 09:14:43] Stephon Williams of New York Rangers was sent to farm.
[2018-09-18 09:14:43] C.J. Motte of New York Rangers was sent to farm.
[2018-09-18 09:14:43] Vincent LoVerde of New York Rangers was sent to pro.
[2018-09-18 09:14:43] Zac Leslie of New York Rangers was sent down to farm.
[2018-09-18 09:14:43] Christian Jaros of New York Rangers was sent down to farm.
[2018-09-18 09:14:43] Simon Bourque of New York Rangers was sent down to farm.
[2018-09-18 09:14:43] Mitch Callahan of New York Rangers was sent down to farm.
[2018-09-18 09:14:43] Colton Hargrove of New York Rangers was sent down to farm.
[2018-09-18 09:14:43] Adam Pardy of New York Rangers was sent down to farm.
[2018-09-14 12:15:50] Jarome Iginla was released by New York Rangers.
[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.
[2018-09-09 07:39:24] Auto Lines Partial Function has been run for New York Rangers.
[2018-09-09 07:39:24] Auto Roster Partial Function has been run for New York Rangers.
[2018-09-07 07:56:57] New York Rangers roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 3 Required. Not enough Forward available in Pro Team! 8 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.



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
13624000001625-9413000001117-62110000058-341631471036701655555550180686813022731.82%32875.00%09820348.28%9520745.89%439744.33%13792146417537
Total Saison Régulière624000001625-9413000001117-62110000058-341631471036701655555550180686813022731.82%32875.00%09820348.28%9520745.89%439744.33%13792146417537