NEW YORK Rangers

GP: 61 | W: 42 | L: 18 | OTL: 1 | P: 85
GF: 218 | GA: 143 | PP%: 19.76% | PK%: 85.07%
DG: Alexandre Vaudreuil | Morale : 98 | Moyenne d'Équipe : 75
Prochain matchs #802 vs PHILADELPHIA Flyers
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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
1Brad Marchand0X100.006244648866929287709387728777635191820
2Jack Eichel0X98.006635818480949083908980658261589091790
3Phil Kessel0X100.005735758275899581668877607990675492790
4Dustin Brown0X100.008035817676948575507775727595694492790
5David Krejci0X100.005935788072889479888770627584654081770
6James van Riemsdyk0X100.006135787787867976697384608077637391760
7Josh Bailey0X100.005838777680869575798068607282656992750
8Anthony Mantha0X100.006744757694888075717481607859587992750
9Rickard Rakell0X100.006941767478908273617571647265607492740
10Andre Burakovsky0X100.006035757784778972617277626763547992730
11Vladislav Namestnikov0X100.007635726971849168697166726764546892720
12Alexander Kerfoot0X100.005835747265829171807468617056524791700
13Ryan Suter0X100.006638827482959573307864817493684691790
14Ryan McDonagh0X100.006935797380909572307667867574626891770
15Matt Dumba0X100.007744827671936675306989768764598492750
16Andy Greene0X100.006535836770879567306762937085612089740
17Scott Mayfield0X100.007350666694829265306460816856526690710
18Patrik Nemeth0X100.007741706387798763306356876560536379700
Rayé
1Jordan Martinook0X100.008435696874829567766568726863545991720
2Mattias Janmark0XX100.005935766876839467637063716559535570700
MOYENNE D'ÉQUIPE99.90673876747887897359757271747160618975
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
1Andrei Vasilevskiy99.00979097899695979695968966828092830
2Petr Mrazek100.00928284759190929190918467804792780
Rayé
MOYENNE D'ÉQUIPE99.5095869182949395949394876781649281
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette76848377898962USA5621,188,000$


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'ÉquipePOSGP 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
1Jack EichelNEW YORK RangersC5721365723140591401864413211.29%12117520.62310133315710141246153.55%163200100.9711000546
2David KrejciNEW YORK RangersC581934531410027116132298714.39%789315.416101633183000003050.72%118300001.1900000322
3Brad MarchandNEW YORK RangersLW60232952830076121257741958.95%13134222.37611175921200041947044.93%13800100.7712000242
4Phil KesselNEW YORK RangersRW612425492310038641782710613.48%7113218.57671342206000004053.49%8600000.8701000342
5Matt DumbaNEW YORK RangersD60163147265958342143359611.19%54121620.28881670217000124240.00%000000.7700001243
6Ryan McDonaghNEW YORK RangersD6063945135401138810035766.00%100150225.0511112491670111155100.00%000000.6000000252
7Dustin BrownNEW YORK RangersRW612025451128096671434711113.99%13102116.75268149920271961242.06%12600000.8800000325
8Ryan SuterNEW YORK RangersD594394310475797710042734.00%88156726.5711213632150111161100.00%000000.5500010121
9James van RiemsdykNEW YORK RangersLW611821391922069471634411511.04%7110718.15571232200000074049.00%10000000.7012000311
10Andy GreeneNEW YORK RangersD5912253725200367376275215.79%88126221.398513441690222189200.00%000000.5900000141
11Andre BurakovskyNEW YORK RangersLW6120163619180463499326720.20%173412.0433617800000112055.88%3400000.9800000152
12Anthony ManthaNEW YORK RangersRW59141428122206328111318312.61%579813.5322415103000002254.39%5700000.7011000300
13Josh BaileyNEW YORK RangersRW61816241420257270175311.43%566310.8701127000003046.24%74400000.7200000111
14Patrik NemethNEW YORK RangersD46215171150074322410238.33%5869415.0910115000060100.00%000000.4900000012
15Scott MayfieldNEW YORK RangersD5611516949585364112292.44%6999717.8202211500000134000.00%000000.3200100100
16Rickard RakellNEW YORK RangersC61881615140593570175811.43%25989.8000000000002242.86%4200000.5400000021
17Alexander KerfootNEW YORK RangersC61671320008054165111.11%561110.03000000000391148.93%70300000.4200000001
18Jordan MartinookNEW YORK RangersLW578513-2280604943122318.60%45699.9922485401111231153.85%28600000.4600000001
19Vladislav NamestnikovNEW YORK RangersC611910-426057377617641.32%673212.01033115000001141040.21%9700000.2700000000
20Mattias JanmarkNEW YORK RangersC/LW4721340018211621012.50%22605.53000140001371041.32%16700000.2300000000
21Scott HarringtonBROOKLYN Wolfpack (NYR)D3011200311000.00%1268.840000000002000.00%000000.7500000000
22Andrei MironovBROOKLYN Wolfpack (NYR)D2000100300000.00%12713.990000000003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne117123341164425550315116912602083570150411.19%5481893616.17541001545052190358221584451350.08%539500200.6847111314133
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
1Andrei VasilevskiyNEW YORK Rangers61421810.9192.3136674714117450220.8005610918
2Petr MrazekNEW YORK Rangers10001.0000.001000030000.0000061000
Stats d'équipe Total ou en Moyenne62421810.9192.3036784714117480220.80056161918


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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander KerfootNEW YORK RangersC251994-08-11No80 Kg178 CMNoNoNo1Pro & Farm2,000,000$625,000$2,000,000$625,000$2,000,000$625,000$NoLien
Andre BurakovskyNEW YORK RangersLW241995-02-09No91 Kg191 CMNoNoNo1Pro & Farm2,500,000$781,250$2,500,000$781,250$2,500,000$781,250$NoLien
Andrei VasilevskiyNEW YORK RangersG251994-07-25No98 Kg193 CMNoNoNo3Pro & Farm3,500,000$1,093,750$3,500,000$1,093,750$3,500,000$1,093,750$No3,500,000$3,500,000$Lien
Andy GreeneNEW YORK RangersD361982-10-30No86 Kg180 CMNoNoNo2Pro & Farm4,000,000$1,250,000$4,000,000$1,250,000$4,000,000$1,250,000$No4,000,000$Lien
Anthony ManthaNEW YORK RangersRW241994-09-16No102 Kg196 CMNoNoNo3Pro & Farm2,500,000$781,250$2,500,000$781,250$2,500,000$781,250$No2,500,000$2,500,000$Lien
Brad MarchandNEW YORK RangersLW311988-05-11No82 Kg175 CMNoNoNo3Pro & Farm5,750,000$1,796,875$5,750,000$1,796,875$5,750,000$1,796,875$No5,750,000$5,750,000$Lien
David KrejciNEW YORK RangersC331986-04-28No85 Kg183 CMNoNoNo5Pro & Farm6,700,000$2,093,750$6,700,000$2,093,750$6,700,000$2,093,750$No6,700,000$6,700,000$6,700,000$6,700,000$Lien
Dustin BrownNEW YORK RangersRW341984-11-04No95 Kg183 CMNoNoNo5Pro & Farm5,875,000$1,835,937$5,875,000$1,835,937$5,875,000$1,835,938$No5,875,000$5,875,000$5,875,000$5,875,000$Lien
Jack EichelNEW YORK RangersC221996-10-28No91 Kg188 CMNoNoNo6Pro & Farm8,500,000$2,656,250$8,500,000$2,656,250$8,500,000$2,656,250$No8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$Lien
James van RiemsdykNEW YORK RangersLW301989-05-04No99 Kg191 CMNoNoNo5Pro & Farm5,900,000$1,843,750$5,900,000$1,843,750$5,900,000$1,843,750$No5,900,000$5,900,000$5,900,000$5,900,000$Lien
Jordan MartinookNEW YORK RangersLW271992-07-25No89 Kg183 CMNoNoNo4Pro & Farm1,600,000$500,000$1,600,000$500,000$1,600,000$500,000$No1,600,000$1,600,000$1,600,000$Lien
Josh BaileyNEW YORK RangersRW291989-10-02No96 Kg185 CMNoNoNo3Pro & Farm4,290,000$1,340,625$4,290,000$1,340,625$4,290,000$1,340,625$No4,290,000$4,290,000$Lien
Matt DumbaNEW YORK RangersD251994-07-25No83 Kg183 CMNoNoNo3Pro & Farm5,000,000$1,562,500$5,000,000$1,562,500$5,000,000$1,562,500$No5,000,000$5,000,000$Lien
Mattias JanmarkNEW YORK RangersC/LW261992-12-08No89 Kg185 CMNoNoNo2Pro & Farm2,100,000$656,250$2,100,000$656,250$2,100,000$656,250$No2,100,000$Lien
Patrik NemethNEW YORK RangersD271992-02-08No100 Kg191 CMNoNoNo1Pro & Farm1,500,000$468,750$1,500,000$468,750$1,500,000$468,750$NoLien
Petr MrazekNEW YORK RangersG271992-02-14No86 Kg185 CMNoNoNo1Pro & Farm2,500,000$781,250$2,500,000$781,250$2,500,000$781,250$NoLien
Phil KesselNEW YORK RangersRW311987-10-02No92 Kg183 CMNoNoNo4Pro & Farm5,700,000$1,781,250$5,700,000$1,781,250$5,700,000$1,781,250$No5,700,000$5,700,000$5,700,000$Lien
Rickard RakellNEW YORK RangersC261993-05-05No92 Kg185 CMNoNoNo2Pro & Farm3,200,000$1,000,000$3,200,000$1,000,000$3,200,000$1,000,000$No3,200,000$Lien
Ryan McDonaghNEW YORK RangersD301989-06-13No98 Kg185 CMNoNoNo4Pro & Farm5,750,000$1,796,875$5,750,000$1,796,875$5,750,000$1,796,875$No5,750,000$5,750,000$5,750,000$Lien
Ryan SuterNEW YORK RangersD341985-01-21No95 Kg188 CMNoNoNo6Pro & Farm6,500,000$2,031,250$6,500,000$2,031,250$6,500,000$2,031,250$No6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$Lien
Scott MayfieldNEW YORK RangersD261992-10-14No101 Kg196 CMNoNoNo4Pro & Farm1,500,000$468,750$1,500,000$468,750$1,500,000$468,750$No1,500,000$1,500,000$1,500,000$Lien
Vladislav NamestnikovNEW YORK RangersC261992-11-22No84 Kg183 CMNoNoNo2Pro & Farm2,500,000$781,250$2,500,000$781,250$2,500,000$781,250$No2,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2228.0991 Kg185 CM3.184,062,045$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
89,365,000$80,865,000$69,065,000$48,025,000$33,475,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandJack EichelPhil Kessel32014
2Anthony ManthaDavid KrejciJames van Riemsdyk26014
3Andre BurakovskyJosh BaileyDustin Brown22122
4Rickard RakellAlexander KerfootVladislav Namestnikov20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaRyan Suter31122
2Ryan McDonaghAndy Greene26122
3Scott MayfieldPatrik Nemeth23122
4Ryan SuterRyan McDonagh20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brad MarchandJack EichelPhil Kessel55014
2James van RiemsdykDavid KrejciAnthony Mantha45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaRyan Suter55122
2Ryan McDonaghAndy Greene45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jack EichelDustin Brown55131
2Alexander KerfootVladislav Namestnikov45131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrik NemethAndy Greene55131
2Ryan SuterRyan McDonagh45131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alexander Kerfoot55122Patrik NemethAndy Greene55122
2Vladislav Namestnikov45122Ryan McDonaghRyan Suter45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack EichelBrad Marchand55122
2David KrejciPhil Kessel45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy GreenePatrik Nemeth55122
2Ryan McDonaghScott Mayfield45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brad MarchandJack EichelPhil KesselRyan SuterRyan McDonagh
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav NamestnikovAlexander KerfootDustin BrownAndy GreenePatrik Nemeth
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Eichel, Brad Marchand, Phil KesselJack Eichel, Brad MarchandDustin Brown
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Suter, Ryan McDonagh, Matt DumbaMatt DumbaAndy Greene, Patrik Nemeth
Tirs de Pénalité
James van Riemsdyk, Phil Kessel, Brad Marchand, Andre Burakovsky, Jack Eichel
Gardien
#1 : Andrei Vasilevskiy, #2 : Petr Mrazek
Lignes d'Attaque Perso. en Prol.
Jack Eichel, Brad Marchand, Phil Kessel, David Krejci, James van Riemsdyk, Josh Bailey, Josh Bailey, Andre Burakovsky, Rickard Rakell, Dustin Brown, Vladislav Namestnikov
Lignes de Défense Perso. en Prol.
Ryan Suter, Ryan McDonagh, Matt Dumba, Andy Greene, Patrik Nemeth


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 Ducks3210000010730000000000032100000107340.667101929004060951933430812330498112.50%12375.00%01080219149.29%1108213651.87%48797649.90%644476233818
2BOSTON Bruins3020100069-32020000026-41000100043120.3336111700311110642263718415246812216.67%12283.33%01080219149.29%1108213651.87%48797649.90%785564223820
3CALGARY Flames220000001138110000005141100000062441.00011203100524060291714063271834900.00%8187.50%01080219149.29%1108213651.87%48797649.90%503543142513
4CHICAGO Blackhawks2110000056-1110000003211010000024-220.5005101500050053192113054182034500.00%10370.00%01080219149.29%1108213651.87%48797649.90%493344142613
5COLORADO Avalanche1010000036-31010000036-30000000000000.0003690002101546503728101911100.00%5260.00%01080219149.29%1108213651.87%48797649.90%1812277136
6DETROIT Red Wings321000001394211000009811100000041340.6671323360054408323273308223126214321.43%60100.00%01080219149.29%1108213651.87%48797649.90%795862193719
7EDMONTON Oilers1000010045-1000000000001000010045-110.5004812000220391142222915619300.00%30100.00%01080219149.29%1108213651.87%48797649.90%2718227147
8MINNESOTA Wild11000000312000000000001100000031221.0003580001203371115028184156233.33%20100.00%01080219149.29%1108213651.87%48797649.90%2014268126
9MONTREAL Canadiens4300001017892100001073422000000105581.000173249004662116264741511528367119526.32%140100.00%01080219149.29%1108213651.87%48797649.90%976896315125
10NASHVILLE Predators21001000532110000003211000100021141.0005914002111671817311612220271218.33%9277.78%01080219149.29%1108213651.87%48797649.90%483450152311
11NEW JERSEY Devils4310000016792200000012392110000044060.750162743114840137445043010530287415320.00%14285.71%01080219149.29%1108213651.87%48797649.90%996989285126
12NEW YORK Islanders1010000013-21010000013-20000000000000.000123001000344131702782174125.00%10100.00%01080219149.29%1108213651.87%48797649.90%2417226126
13OTTAWA Senators3210000011651010000012-122000000104640.6671122330072201064126390842716509222.22%8275.00%01080219149.29%1108213651.87%48797649.90%826162193417
14PHILADELPHIA Flyers3300000014592200000010461100000041361.0001425390054508723343009418274814321.43%7185.71%01080219149.29%1108213651.87%48797649.90%745268203719
15PITTSBURGH Penguins421010001394210010007522110000064260.75013233601624112836365339629366724312.50%17382.35%01080219149.29%1108213651.87%48797649.90%1047285305328
16QUEBEC Nordiques4220000011101220000009452020000026-440.500111829014520115373840010532269311218.18%110100.00%01080219149.29%1108213651.87%48797649.90%916397275024
17SEATTLE Totems11000000413110000004130000000000021.0004812001120259124038102184250.00%10100.00%01080219149.29%1108213651.87%48797649.90%2317246115
18ST-LOUIS Blues211000005501010000013-21100000042220.50051015102210591821200702614317228.57%6183.33%01080219149.29%1108213651.87%48797649.90%473348132311
19TAMPA BAY Lightning633000002319422000000615413000001718-160.5002343660168901835762640168544411528517.86%20575.00%11080219149.29%1108213651.87%48797649.90%152106132447538
20TORONTO Maple Leafs330000001211122000000100101100000021161.0001222340225509725324007726285013215.38%110100.00%01080219149.29%1108213651.87%48797649.90%785566213418
Total613718031202181437531218010101116447301610021101077928850.697218395613276971737189557062868221175052847510902484919.76%2013085.07%31080219149.29%1108213651.87%48797649.90%151410661400441767389
22VANCOUVER Canucks220000001266110000006421100000062441.000122234004350672722180642210358450.00%5180.00%01080219149.29%1108213651.87%48797649.90%483447142412
23VEGAS Golden Knights11000000514110000005140000000000021.00057120020304614181403392124250.00%10100.00%01080219149.29%1108213651.87%48797649.90%2719207126
24WASHINGTON Capitals30200010911-21010000023-12010001078-120.333915240004428518283399512255311218.18%8187.50%11080219149.29%1108213651.87%48797649.90%775569203820
25WINNIPEG Jets22000000523220000005230000000000041.000581301230059192713060835297114.29%10190.00%11080219149.29%1108213651.87%48797649.90%483248152311
_Since Last GM Reset613718031202181437531218010101116447301610021101077928850.697218395613276971737189557062868221175052847510902484919.76%2013085.07%31080219149.29%1108213651.87%48797649.90%151410661400441767389
_Vs Conference41231402020146974921136010107642342010801010705515540.65914626340916474946612773764194701811323023047681743318.97%1291687.60%21080219149.29%1108213651.87%48797649.90%1040735918292516264
_Vs Division158501010533518852010003218147330001021174200.66753921451216181734711251611761241797118259681217.65%47785.11%11080219149.29%1108213651.87%48797649.90%379267335105193100

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6185W121839561318951750528475109027
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6137183120218143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31218101011164
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
301610211010779
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2484919.76%2013085.07%3
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
570628682216971737
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
1080219149.29%1108213651.87%48797649.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
151410661400441767389


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-01-152NEW YORK Rangers3ANAHEIM Ducks2WSommaire du Match
2 - 2020-01-1619OTTAWA Senators2NEW YORK Rangers1LSommaire du Match
3 - 2020-01-1728NEW YORK Rangers4TAMPA BAY Lightning5LSommaire du Match
5 - 2020-01-1943NEW JERSEY Devils1NEW YORK Rangers8WSommaire du Match
6 - 2020-01-2057TORONTO Maple Leafs0NEW YORK Rangers5WSommaire du Match
8 - 2020-01-2274NEW YORK Rangers4PHILADELPHIA Flyers1WSommaire du Match
9 - 2020-01-2384NEW YORK Rangers0QUEBEC Nordiques3LSommaire du Match
10 - 2020-01-2494BOSTON Bruins2NEW YORK Rangers1LSommaire du Match
11 - 2020-01-25108PHILADELPHIA Flyers1NEW YORK Rangers6WSommaire du Match
12 - 2020-01-26114NEW YORK Rangers3WASHINGTON Capitals5LSommaire du Match
13 - 2020-01-27126NEW YORK Rangers3TAMPA BAY Lightning5LSommaire du Match
15 - 2020-01-29146DETROIT Red Wings5NEW YORK Rangers7WSommaire du Match
17 - 2020-01-31160NEW YORK Rangers5ANAHEIM Ducks1WSommaire du Match
18 - 2020-02-01175TAMPA BAY Lightning1NEW YORK Rangers3WSommaire du Match
20 - 2020-02-03189NEW YORK Rangers4PITTSBURGH Penguins0WSommaire du Match
21 - 2020-02-04197WINNIPEG Jets2NEW YORK Rangers4WSommaire du Match
22 - 2020-02-05211NEW YORK Rangers3OTTAWA Senators2WSommaire du Match
23 - 2020-02-06221NASHVILLE Predators2NEW YORK Rangers3WSommaire du Match
25 - 2020-02-08235NEW YORK Rangers4WASHINGTON Capitals3WXXSommaire du Match
26 - 2020-02-09248TAMPA BAY Lightning0NEW YORK Rangers3WSommaire du Match
27 - 2020-02-10264DETROIT Red Wings3NEW YORK Rangers2LSommaire du Match
29 - 2020-02-12278NEW YORK Rangers2QUEBEC Nordiques3LSommaire du Match
30 - 2020-02-13286NEW YORK Rangers4ST-LOUIS Blues2WSommaire du Match
31 - 2020-02-14302ST-LOUIS Blues3NEW YORK Rangers1LSommaire du Match
32 - 2020-02-15316NEW YORK Rangers2ANAHEIM Ducks4LSommaire du Match
33 - 2020-02-16326NEW JERSEY Devils2NEW YORK Rangers4WSommaire du Match
34 - 2020-02-17340NEW YORK Rangers6VANCOUVER Canucks2WSommaire du Match
35 - 2020-02-18351VANCOUVER Canucks4NEW YORK Rangers6WSommaire du Match
37 - 2020-02-20370NEW YORK Rangers4EDMONTON Oilers5LXSommaire du Match
38 - 2020-02-21379TORONTO Maple Leafs0NEW YORK Rangers5WSommaire du Match
39 - 2020-02-22396NEW YORK Rangers2PITTSBURGH Penguins4LSommaire du Match
40 - 2020-02-23404NEW YORK Rangers2CHICAGO Blackhawks4LSommaire du Match
41 - 2020-02-24412WASHINGTON Capitals3NEW YORK Rangers2LSommaire du Match
43 - 2020-02-26430PITTSBURGH Penguins1NEW YORK Rangers2WSommaire du Match
44 - 2020-02-27443NEW YORK Rangers3MINNESOTA Wild1WSommaire du Match
46 - 2020-02-29457WINNIPEG Jets0NEW YORK Rangers1WSommaire du Match
47 - 2020-03-01474BOSTON Bruins4NEW YORK Rangers1LSommaire du Match
49 - 2020-03-03487NEW YORK Rangers4MONTREAL Canadiens1WSommaire du Match
50 - 2020-03-04499NEW YORK Rangers4TAMPA BAY Lightning5LSommaire du Match
51 - 2020-03-05511SEATTLE Totems1NEW YORK Rangers4WSommaire du Match
52 - 2020-03-06527QUEBEC Nordiques4NEW YORK Rangers5WSommaire du Match
53 - 2020-03-07537NEW YORK Rangers4DETROIT Red Wings1WSommaire du Match
55 - 2020-03-09555PHILADELPHIA Flyers3NEW YORK Rangers4WSommaire du Match
56 - 2020-03-10566NEW YORK Rangers6MONTREAL Canadiens4WSommaire du Match
57 - 2020-03-11579QUEBEC Nordiques0NEW YORK Rangers4WSommaire du Match
59 - 2020-03-13593NEW YORK Rangers6TAMPA BAY Lightning3WSommaire du Match
60 - 2020-03-14605MONTREAL Canadiens1NEW YORK Rangers4WSommaire du Match
62 - 2020-03-16620NEW YORK Rangers6CALGARY Flames2WSommaire du Match
63 - 2020-03-17629NEW YORK Rangers2NEW JERSEY Devils4LSommaire du Match
64 - 2020-03-18639VEGAS Golden Knights1NEW YORK Rangers5WSommaire du Match
65 - 2020-03-19657CALGARY Flames1NEW YORK Rangers5WSommaire du Match
66 - 2020-03-20668NEW YORK Rangers2NEW JERSEY Devils0WSommaire du Match
67 - 2020-03-21679NEW YORK Rangers2NASHVILLE Predators1WXSommaire du Match
68 - 2020-03-22691MONTREAL Canadiens2NEW YORK Rangers3WXXSommaire du Match
69 - 2020-03-23707CHICAGO Blackhawks2NEW YORK Rangers3WSommaire du Match
70 - 2020-03-24716NEW YORK Rangers4BOSTON Bruins3WXSommaire du Match
72 - 2020-03-26733NEW YORK Rangers7OTTAWA Senators2WSommaire du Match
73 - 2020-03-27742PITTSBURGH Penguins4NEW YORK Rangers5WXSommaire du Match
75 - 2020-03-29762COLORADO Avalanche6NEW YORK Rangers3LSommaire du Match
76 - 2020-03-30782NEW YORK Islanders3NEW YORK Rangers1LSommaire du Match
77 - 2020-03-31794NEW YORK Rangers2TORONTO Maple Leafs1WSommaire du Match
78 - 2020-04-01802NEW YORK Rangers-PHILADELPHIA Flyers-
79 - 2020-04-02813NEW YORK Rangers-VEGAS Golden Knights-
80 - 2020-04-03822OTTAWA Senators-NEW YORK Rangers-
82 - 2020-04-05842NEW YORK Rangers-COLORADO Avalanche-
83 - 2020-04-06846WASHINGTON Capitals-NEW YORK Rangers-
85 - 2020-04-08865NEW YORK Rangers-ARIZONA Coyotes-
86 - 2020-04-09873ARIZONA Coyotes-NEW YORK Rangers-
87 - 2020-04-10886NEW YORK Rangers-SEATTLE Totems-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11899SEATTLE Totems-NEW YORK Rangers-
90 - 2020-04-13914NEW YORK Rangers-BOSTON Bruins-
91 - 2020-04-14923NEW YORK Islanders-NEW YORK Rangers-
92 - 2020-04-15935NEW YORK Rangers-WINNIPEG Jets-
94 - 2020-04-17951MINNESOTA Wild-NEW YORK Rangers-
95 - 2020-04-18969EDMONTON Oilers-NEW YORK Rangers-
98 - 2020-04-21994OTTAWA Senators-NEW YORK Rangers-
99 - 2020-04-22996NEW YORK Rangers-DETROIT Red Wings-
100 - 2020-04-231010NEW YORK Rangers-NEW YORK Islanders-
103 - 2020-04-261025NEW YORK Rangers-TORONTO Maple Leafs-
104 - 2020-04-271030ANAHEIM Ducks-NEW YORK Rangers-
107 - 2020-04-301050ANAHEIM Ducks-NEW YORK Rangers-
108 - 2020-05-011054NEW YORK Rangers-NEW YORK Islanders-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200050001000
Prix des Billets1501209594300
Assistance140,552120,54851,058110,50319,803
Attendance PCT75.57%77.77%82.35%71.29%63.88%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
10 14273 - 75.12% 2,561,876$79,418,150$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
60,884,673$ 89,365,000$ 89,365,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
89,365,000$ 59,914,757$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
25,618,758$ 35 808,509$ 28,297,815$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
28,662,329$ 89,365,000$ 57,454,944$ 54,411,373$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Brad MarchandAGE:31PO:51OV:82
James van RiemsdykAGE:30PO:73OV:76
Andre BurakovskyAGE:24PO:79OV:73
Jordan MartinookAGE:27PO:59OV:72
Mattias JanmarkAGE:26PO:55OV:70
Jujhar KhairaAGE:25PO:65OV:69
Kerby RychelAGE:24PO:80OV:61
Morgan KlimchukAGE:24PO:78OV:57
Jack EichelAGE:22PO:90OV:79
David KrejciAGE:33PO:40OV:77
Rickard RakellAGE:26PO:74OV:74
Vladislav NamestnikovAGE:26PO:68OV:72
Mattias JanmarkAGE:26PO:55OV:70
Alexander KerfootAGE:25PO:47OV:70
Nick CousinsAGE:26PO:63OV:69
Adam MusilAGE:22PO:44OV:56
Phil KesselAGE:31PO:54OV:79
Dustin BrownAGE:34PO:44OV:79
Anthony ManthaAGE:24PO:79OV:75
Josh BaileyAGE:29PO:69OV:75
*Joey AndersonAGE:21PO:66OV:63

Défense #1Défense #2Gardien
Ryan SuterAGE:34PO:46OV:79
Ryan McDonaghAGE:30PO:68OV:77
Matt DumbaAGE:25PO:84OV:75
Andy GreeneAGE:36PO:20OV:74
Scott MayfieldAGE:26PO:66OV:71
Patrik NemethAGE:27PO:63OV:70
Scott HarringtonAGE:26PO:67OV:68
Julius HonkaAGE:23PO:82OV:63
*Matt RoyAGE:24PO:48OV:61
*Andrei MironovAGE:25PO:60OV:56
Ethan BearAGE:22PO:59OV:56
Brandon GormleyAGE:27PO:63OV:50
Andrei VasilevskiyAGE:25PO:80OV:83
Petr MrazekAGE:27PO:47OV:78
Andrew HammondAGE:31PO:34OV:67

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
Anatoly GolyshevNEW YORK Rangers2729
Antoine WakedNEW YORK Rangers29118
Arseny GritsyukNEW YORK Rangers3392
Brady KeeperNEW YORK Rangers33131
Brandon SaigeonNEW YORK Rangers31144
C.J. SmithNEW YORK Rangers31170
Cameron MorrisonNEW YORK Rangers2839
Casey DeSmithNEW YORK Rangers31118
Daniel YurtaikinNEW YORK Rangers33150
Darren RaddyshNEW YORK Rangers2966
David GustafssonNEW YORK Rangers3154
Denis GilbertNEW YORK Rangers2571
Dennis YanNEW YORK Rangers2631
Dylan BlujusNEW YORK Rangers
Eric RoyNEW YORK Rangers2168
Ethan WerekNEW YORK Rangers
Fabrice HerzogNEW YORK Rangers2251
Ilya MikheyevNEW YORK Rangers3372
J.J. PiccinichNEW YORK Rangers2375
Jake BishoffNEW YORK Rangers33176
Jake KiellyNEW YORK Rangers33164
Jan KovarNEW YORK Rangers29144
Jason KasdorfNEW YORK Rangers
Jean-christophe BeaudinNEW YORK Rangers2554
Joel KellmanNEW YORK Rangers29170
Joey LaleggiaNEW YORK Rangers1991
Johnathan MacLeodNEW YORK Rangers2349
Luke StevensNEW YORK Rangers2675
Martin DzierkalNEW YORK Rangers
Matthew SpencerNEW YORK Rangers2628
Mattias SamuelssonNEW YORK Rangers3152
Michael BuntingNEW YORK Rangers23101
Mitchell HeardNEW YORK Rangers
Nathan NoelNEW YORK Rangers2755
Nico SturmNEW YORK Rangers3398
Pavel KraskovskyNEW YORK Rangers2468
Petr StrakaNEW YORK Rangers
Raphael DiazNEW YORK Rangers
Ryan SukuziNEW YORK Rangers3320
Semyon Der-ArguchintsevNEW YORK Rangers3193
Sergei KostitsynNEW YORK Rangers
Sheldon DriesNEW YORK Rangers31128
Tyler ShattockNEW YORK Rangers
Vaclav KarabacekNEW YORK Rangers2323
Vitali KravtsovNEW YORK Rangers3114
Vladimir BobylevNEW YORK Rangers2891
Zachary StepanNEW YORK Rangers2066

Choix au Repêchage

Année R1R2R3R4R5R6R7
34NYR NYR VGK DET NYR BOS NYR PHI NYR
35NYR NYR NYR NYR NYR NYR NYR
36NYR NYR NYR NYR NYR NYR NYR
37NYR NYR NYR NYR NYR BOS NYR
38NYR NYR NYR NYR NYR NYR NYR



[2020-04-03 19:39:03] - New Record for Team's Most Shots Blocked (28) in 1 Game for NEW YORK Rangers!
[2020-03-24 19:56:51] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Mattias Janmark (70).
[2020-03-14 19:42:03] - TRADE : From NEW YORK Rangers to VANCOUVER Canucks : Mattias Janmark (70).
[2020-03-12 19:54:35] - TRADE : From ANAHEIM Ducks to NEW YORK Rangers : Brad Marchand (82).
[2020-03-12 19:54:35] - TRADE : From NEW YORK Rangers to ANAHEIM Ducks : Olivier Rodrigue (P), Kirill Kaprizov (P), Y:37-RND:1-NYR.
[2020-03-12 19:51:52] - TRADE : From MINNESOTA Wild to NEW YORK Rangers : Scott Mayfield (71), Y:34-RND:5-DET.
[2020-03-12 19:51:52] - TRADE : From NEW YORK Rangers to MINNESOTA Wild : Nick Leddy (72).
[2020-01-19 20:35:43] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Valtteri Filppula (72), Y:34-RND:2-OTW, Y:34-RND:7-CGY.
[2020-01-19 20:35:43] - TRADE : From BOSTON Bruins to NEW YORK Rangers : James van Riemsdyk (76), Y:34-RND:4-VGK.
[2020-01-15 20:07:10] - Aaron Ness was released.
[2020-01-13 14:47:17] - Andy Greene was added to NEW YORK Rangers.
[2019-12-30 10:06:29] - Derek MacKenzie was released.
[2019-12-30 10:06:29] - Derek MacKenzie was forced to retire by NEW YORK Rangers
[2019-12-30 10:06:29] - Andy Greene was released.
[2019-12-30 10:06:29] - Andy Greene was forced to retire by NEW YORK Rangers
[2019-12-09 19:52:13] - NEW YORK Rangers was eliminated at round 2 of year 32.
[2019-11-27 20:51:02] - BROOKLYN Wolfpack didn't make playoff for year 32.
[2019-10-05 22:18:09] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Jacob Josefson (65).
[2019-10-05 22:18:09] - TRADE : From BOSTON Bruins to NEW YORK Rangers : Adam Musil (56), Morgan Klimchuk (57), Y:37-RND:7-BOS.
[2019-08-24 20:49:40] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Andrew MacDonald (67), Maxim Letunov (P), Jack Drury (P), Y:34-RND:4-NYR.
[2019-08-24 20:49:40] - TRADE : From BOSTON Bruins to NEW YORK Rangers : Dustin Brown (79), Y:34-RND:5-BOS.
[2019-07-24 20:36:12] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Y:34-RND:7-CGY, Y:34-RND:7-PHI.
[2019-07-24 20:27:24] - Matt Roy was added to NEW YORK Rangers.
[2019-07-24 20:27:17] - Joey Anderson was added to NEW YORK Rangers.
[2019-07-24 20:14:08] - Jake Bishoff has been added to NEW YORK Rangers.
[2019-07-19 21:54:43] - Jake Kielly has been added to NEW YORK Rangers.
[2019-07-19 21:47:58] - Matt Roy has been added to NEW YORK Rangers.
[2019-07-19 21:46:42] - Daniel Yurtaikin has been added to NEW YORK Rangers.
[2019-07-19 21:39:12] - Brady Keeper has been added to NEW YORK Rangers.
[2019-07-10 21:28:35] - Nico Sturm has been added to NEW YORK Rangers.
[2019-07-10 21:25:59] - Arseny Gritsyuk has been added to NEW YORK Rangers.
[2019-07-10 21:16:20] - Ilya Mikheyev has been added to NEW YORK Rangers.
[2019-07-09 22:12:35] - Ryan Sukuzi has been added to NEW YORK Rangers.



[2020-04-05 17:28:32] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-04 19:14:39] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-04 19:14:13] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-04 19:13:48] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-03 19:39:06] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-03 19:39:03] New Record for Team's Most Shots Blocked (28) in 1 Game for NEW YORK Rangers!
[2020-04-03 19:38:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-03 19:37:33] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-02 20:44:28] Patrik Nemeth from NEW YORK Rangers is back from Sprained Right Ankle Injury.
[2020-04-02 20:44:28] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-04-01 17:37:08] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-01 17:36:32] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-31 20:22:08] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-30 20:15:31] David Krejci from NEW YORK Rangers is back from Left Foot Injury.
[2020-03-30 20:15:30] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-03-29 21:58:04] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-03-29 21:58:04] Last 7 Days Pro Star : 1 - Andrei Vasilevskiy of NEW YORK Rangers (0,952) / 2 - Mark Scheifele of TAMPA BAY Lightning (5-6-11) / 3 - Jaden Schwartz of PHILADELPHIA Flyers (6-4-10)
[2020-03-29 21:57:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 21:57:18] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:35:22] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:31:45] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:31:27] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:29:30] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:25:54] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:24:05] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:21:51] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:19:43] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:18:25] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:55] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-29 20:15:49] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:26] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:26] Scott Harrington of NEW YORK Rangers was sent down to farm.
[2020-03-28 20:39:51] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-03-28 20:39:50] Game 707 - David Krejci from NEW YORK Rangers is injured (Left Foot) and is out for 5 days.
[2020-03-28 20:39:20] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-28 20:37:48] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:34:16] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-03-27 19:33:58] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:33:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:33:33] Andrei Mironov of NEW YORK Rangers was sent down to farm.
[2020-03-26 19:00:43] Scott Harrington from NEW YORK Rangers is back from Torso Injury.
[2020-03-26 19:00:43] Ryan Suter from NEW YORK Rangers is back from Exhaustion.
[2020-03-26 18:57:48] Ryan McDonagh from NEW YORK Rangers is back from Exhaustion.
[2020-03-26 18:57:46] Ryan Suter from NEW YORK Rangers is injured from Exhaustion.
[2020-03-26 18:57:27] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-26 18:57:27] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-03-25 18:59:20] Ryan Suter from NEW YORK Rangers is back from Exhaustion.
[2020-03-25 18:59:19] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-03-25 18:59:18] Ryan McDonagh from NEW YORK Rangers is injured from Exhaustion.
[2020-03-25 18:58:46] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.



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
3361371803120218143753121801010111644730161002110107792885218395613276971737189557062868221175052847510902484919.76%2013085.07%31080219149.29%1108213651.87%48797649.90%151410661400441767389
Total Saison Régulière61371803120218143753121801010111644730161002110107792885218395613276971737189557062868221175052847510902484919.76%2013085.07%31080219149.29%1108213651.87%48797649.90%151410661400441767389
Séries
321156000002727052300000141406330000013130102750770198100251736510211334898219539923.08%381073.68%016534447.97%19341346.73%6515541.94%2711922748113767
Total Séries1156000002727052300000141406330000013130102750770198100251736510211334898219539923.08%381073.68%016534447.97%19341346.73%6515541.94%2711922748113767