New York Rangers

GP: 82 | W: 42 | L: 34 | OTL: 6 | P: 90
GF: 260 | GA: 276 | PP%: 26.85% | PK%: 78.43%
DG: Steve Lechasseur | Morale : 54 | Moyenne d'Équipe : 73
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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)X100.00875587939596959692959399559088181880
2Jonathan Marchessault (A)X100.00945584938091899578948887558180165840
3Dylan LarkinX100.00805585998190929386937691558078148830
4Timo MeierXX100.00975589938086858380718178557672182770
5Joel WardX100.00735587789696867475656876559395173740
6Joshua Ho-SangX100.00655573887675827450776666556864177700
7Dwight KingX100.00865580559785806150555555557472180620
8Mitch CallahanX100.00655569696966766050606160555050178600
9Cody BassX100.00555557697770635550555558557573165590
10Luke Kunin (R)XX100.00565555555555556864606064555050158570
11Michael BuntingX100.00605569636963695550555556555050148560
12Ivan ProvorovX100.00905596948295919325807797557978178850
13Shea Weber (C)X100.00815584879897859425817394559295155840
14Marc StaalX100.00815592789184857025646193558987170780
15Adam McQuaidX100.00905570729178827325626181558478157740
16Steve OleksyX100.00555559605959675925595959558175160590
Rayé
1Yanni GourdeXXX100.00745582917287919350898687557250174800
2Matt StajanX100.00815577768180737483666581558485144710
3Oscar KlefbomX100.00775594858792939025756692558078166810
MOYENNE D'ÉQUIPE100.0076557879818181775371697855767416673
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 Elliott100.0082808185808285808283558686135810
2Alex Lyon100.0070788478696975667070556867174710
Rayé
MOYENNE D'ÉQUIPE100.007679838275768073767755777715576
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 RangersC8247731203163512229541210930111.41%37200724.4872431732591122335212153.93%288500011.20011001458
2Jonathan MarchessaultNew York RangersLW73415192298751621323158522213.02%13157821.63918277524020272279156.44%10100111.1713001798
3Ivan ProvorovNew York RangersD821952711720188138218461368.72%135203424.811419331232510000272310.00%000000.7000000343
4Yanni GourdeNew York RangersC/LW/RW6927437025415781102227714712.16%12135219.6041620392440000352029.75%12100011.0411001726
5Timo MeierNew York RangersLW/RW8227325905552001182305915811.74%8162919.87810184925700021104147.54%12200010.7222100336
6Shea WeberNew York RangersD70153651750012591168701048.93%117175725.11111627922380006251200.00%000000.5800000032
7Dylan LarkinNew York RangersC73232750-134715722142306115110.00%16139919.1896155020001131371348.22%165300000.7102003231
8Oscar KlefbomNew York RangersD82153550-3560116115117417212.82%121182922.3112416572070111247100.00%000000.5500000301
9Marc StaalNew York RangersD82122335-108751427685246814.12%129162119.784913361241121197300.00%000000.4300001211
10Joel WardNew York RangersRW8282129-14100436510936837.34%12145317.720771717500021191147.37%15200000.4000000000
11Joshua Ho-SangNew York RangersRW8281624-119527519433708.51%2126015.37099151260000430036.55%14500000.3800100012
12Matt StajanNew York RangersC69111223-182607413212835848.59%2086712.5820212400110651051.99%95600000.5300000111
13Adam McQuaidNew York RangersD8371118-310951914942132216.67%67116514.04202223011087200.00%000000.3100010200
14Dwight KingNew York RangersLW826410-2052013513329918.75%4112413.7211251320000241027.38%8400000.1800000022
15Mitch CallahanNew York RangersRW82358-1612025184013337.50%26848.3400000000000036.59%4100000.2300000001
16Luke KuninNew York RangersC/RW61347-9155304425142612.00%55779.470110120000140037.07%34800000.2400001011
17Cody BassNew York RangersC80134-21401034351051410.00%54745.9400000000000035.52%44200000.1700002000
18Steve OleksyNew York RangersD67044-16400561617190.00%3885612.7900011000038000.00%000000.0900000000
19Vincent LoVerdeWolf Pack (NYR)D30033-112002755230.00%1431210.4300001000013000.00%000000.1900000000
20Colton HargroveWolf Pack (NYR)LW26101-8208330533.33%11686.4600001000050041.67%1200000.1200000000
21Mark OlverWolf Pack (NYR)C36000-11601153050.00%01935.3700000000000032.76%5800000.0000000000
22Michael BuntingNew York RangersLW44000-177510109750.00%23477.8900001000000024.00%2500000.0000100000
Stats d'équipe Total ou en Moyenne1519274455729-10890670187617352514740172710.90%7602469616.26831402236462541461045224642848.71%714500140.5949419443543
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 Rangers49232310.8973.3226970214914500030.00004822411
2Alex LyonNew York Rangers37171050.8933.2620824011310550201.00093248202
3Stephon WilliamsWolf Pack (NYR)22000.8873.39124207620000.000027000
4C.J. MotteWolf Pack (NYR)10100.8105.7142004210000.000005000
Stats d'équipe Total ou en Moyenne89423460.8953.3149466227325880231.00098282613


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam McQuaidNew York RangersD301986-10-11No209 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$0$No
Alex LyonNew York RangersG241992-12-09No201 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$300,000$0$No
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Brian ElliottNew York RangersG311985-04-08No209 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm2,000,000$2,000,000$0$No
Cody BassNew York RangersC301987-01-07No203 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$300,000$0$No
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$0$No
Dylan LarkinNew York RangersC201996-07-30No190 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$0$No
Ivan ProvorovNew York RangersD201997-01-13No201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Joel WardNew York RangersRW361980-12-02No226 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,140,000$4,140,000$0$No
Jonathan MarchessaultNew York RangersLW261990-12-27No184 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Joshua Ho-SangNew York RangersRW201996-01-22No173 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$0$No
Luke KuninNew York RangersC/RW191997-12-04Yes192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$0$No
Marc StaalNew York RangersD301987-01-13No207 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$0$No
Michael BuntingNew York RangersLW211995-09-17No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm667,000$667,000$0$No
Mitch CallahanNew York RangersRW251991-08-16No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$0$No
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$0$No
Steve OleksyNew York RangersD301986-02-03No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$300,000$0$No
Timo MeierNew York RangersLW/RW201996-10-08No209 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$0$No
Yanni GourdeNew York RangersC/LW/RW251991-12-14No157 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2126.19201 Lbs6 ft12.431,828,905$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
38,407,000$33,740,000$19,600,000$9,400,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultAnze KopitarJoshua Ho-Sang42113
2Timo MeierDylan LarkinJoel Ward40113
3Dwight KingMitch Callahan15122
4Michael BuntingLuke KuninCody Bass3122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber42122
2Marc Staal40122
3Steve OleksyAdam McQuaid18131
4Shea WeberIvan Provorov0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan MarchessaultAnze KopitarTimo Meier70014
2Joel WardDylan LarkinJoshua Ho-Sang30113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber70014
2Marc Staal30113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJonathan Marchessault55131
2Dylan Larkin45131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber55131
2Marc Staal45131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60140Ivan ProvorovShea Weber55140
2Dylan Larkin40140Marc Staal45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarJonathan Marchessault55113
2Dylan LarkinTimo Meier45113
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber55122
2Marc Staal45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarTimo MeierIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathan MarchessaultAnze KopitarDylan LarkinIvan ProvorovMarc Staal
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anze Kopitar, Dylan Larkin, Jonathan MarchessaultTimo Meier, Anze KopitarJoel Ward
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shea Weber, Ivan Provorov, Shea WeberMarc Staal, Shea Weber
Tirs de Pénalité
Jonathan Marchessault, Timo Meier, Anze Kopitar, Dylan Larkin, Ivan Provorov
Gardien
#1 : Brian Elliott, #2 : Alex Lyon


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks210010001192100010006511100000054141.000112031003431612117221692038495360.00%14471.43%01345276048.73%1432290649.28%683135950.26%432951142512
2Boston Bruins31100100990110000004222010010057-230.500917260022509031293008436247817529.41%11372.73%01345276048.73%1432290649.28%683135950.26%684875213619
3Buffalo Sabres31200000911-21010000023-12110000078-120.333917260041408934272808932367315320.00%17382.35%01345276048.73%1432290649.28%683135950.26%694574223518
4Calgary Flames20200000611-51010000034-11010000037-400.000691500231049181813087203545600.00%9188.89%11345276048.73%1432290649.28%683135950.26%432851132512
5Carolina Hurricanes42200000101002020000028-62200000082640.5001019290054101012946260124364510413430.77%14657.14%01345276048.73%1432290649.28%683135950.26%8758100285226
6Chicago Blackhawks2110000057-2110000003211010000025-320.500581300221045231570692318458112.50%9188.89%01345276048.73%1432290649.28%683135950.26%463147152512
7Colorado Avalanche2010100069-31010000026-41000100043120.5006915001131521315222512918377114.29%9277.78%01345276048.73%1432290649.28%683135950.26%473250142613
8Columbus Blue Jackets422000001112-12020000038-52200000084440.500111930006410104303341010126308210110.00%15193.33%01345276048.73%1432290649.28%683135950.26%8860100295025
9Dallas Stars2110000011110110000005321010000068-220.500111930003530541223190691829423133.33%9277.78%01345276048.73%1432290649.28%683135950.26%453248142512
10Detroit Red Wings30101010161511010000056-120001010119240.6671625410046429431322951023734668337.50%14657.14%01345276048.73%1432290649.28%683135950.26%694880213617
11Edmonton Oilers2110000067-11010000035-21100000032120.50061117000420591618250672718405120.00%8187.50%01345276048.73%1432290649.28%683135950.26%453248142512
12Florida Panthers321000008802110000045-11100000043140.66781523003230622022200802735659444.44%10460.00%01345276048.73%1432290649.28%683135950.26%654575243818
13Los Angeles Kings211000008621010000023-11100000063320.50081220005210773422210441529509444.44%120100.00%01345276048.73%1432290649.28%683135950.26%513542142613
14Minnesota Wild211000006511010000024-21100000041320.50061117003030541316250772518409222.22%9188.89%01345276048.73%1432290649.28%683135950.26%432851152512
15Montreal Canadiens320000101284210000108531100000043161.00012193100704110539293477819225316318.75%10190.00%01345276048.73%1432290649.28%683135950.26%805966203819
16Nashville Predators2010001056-11010000024-21000001032120.5005712101122753718166572016408112.50%6266.67%01345276048.73%1432290649.28%683135950.26%473251152513
17New Jersey Devils402002001118-72010010047-320100100711-420.250111930006230117384038115251607615533.33%20860.00%21345276048.73%1432290649.28%683135950.26%9163104294723
18New York Islanders412001001115-420100100510-52110000065130.375112233005060135413556313638339213323.08%12466.67%01345276048.73%1432290649.28%683135950.26%946599285024
19Ottawa Senators310011001192210010008531000010034-150.8331121320035218223253227717275311327.27%9366.67%01345276048.73%1432290649.28%683135950.26%745168223919
20Philadelphia Flyers4220000012111211000006512110000066040.500122436003360121334444011726427318316.67%17476.47%01345276048.73%1432290649.28%683135950.26%946496294923
21Phoenix Coyotes21100000910-11010000046-21100000054120.500915241054006025269072178469666.67%40100.00%01345276048.73%1432290649.28%683135950.26%483346132412
22Pittsburgh Penguins42200000910-1220000008262020000018-740.50091625012340107412541014341488015213.33%23291.30%01345276048.73%1432290649.28%683135950.26%926199284823
23San Jose Sharks2110000056-1110000004221010000014-320.500581300041057183090591620477228.57%10190.00%01345276048.73%1432290649.28%683135950.26%453149132411
24St. Louis Blues21000100761110000005321000010023-130.75071017003310571720200562318418450.00%9188.89%01345276048.73%1432290649.28%683135950.26%473349132311
25Tampa Bay Lightning33000000734220000004131100000032161.000714210141207927292307328254913430.77%10280.00%01345276048.73%1432290649.28%683135950.26%765466213618
26Toronto Maple Leafs330000001495110000005232200000097261.00014253900446010828354509112327010440.00%14564.29%01345276048.73%1432290649.28%683135950.26%835957193821
Total82353404630260276-1641171902210122129-741181502420138147-9900.549260456716329778788238477980278527259176884317772988026.85%3437478.43%41345276048.73%1432290649.28%683135950.26%1911131820125941027506
28Vancouver Canucks2020000027-51010000013-21010000014-300.00024600110048132213093202446300.00%12191.67%01345276048.73%1432290649.28%683135950.26%382656142410
29Vegas Golden Knights2110000046-2110000003211010000014-320.5004812001120751623360491914487228.57%7271.43%01345276048.73%1432290649.28%683135950.26%523745132211
30Washington Capitals413000001118-72110000077020200000411-720.250111829104430110334730016739259713323.08%10280.00%11345276048.73%1432290649.28%683135950.26%8356105295125
31Winnipeg Jets22000000844110000002111100000063341.00081523005210572521110581122508225.00%10190.00%01345276048.73%1432290649.28%683135950.26%443049152512
_Since Last GM Reset82353404630260276-1641171902210122129-741181502420138147-9900.549260456716329778788238477980278527259176884317772988026.85%3437478.43%41345276048.73%1432290649.28%683135950.26%1911131820125941027506
_Vs Conference52232002520161166-5261111012107576-126129013108690-4590.567161290451126241544150447849851718161446551811111965025.51%2065473.79%31345276048.73%1432290649.28%683135950.26%12198421271377651322
_Vs Division281015003007594-191448002003547-121467001004047-7230.411751372121131202407952452702764940257283604972121.65%1112775.68%31345276048.73%1432290649.28%683135950.26%631429705202350170

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8290L226045671623842591768843177732
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8235344630260276
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117192210122129
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4118152420138147
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2988026.85%3437478.43%4
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
779802785279778788
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
1345276048.73%1432290649.28%683135950.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1911131820125941027506


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-09-0610Nashville Predators4New York Rangers2LSommaire du Match
4 - 2018-09-0818New York Rangers3Buffalo Sabres7LSommaire du Match
5 - 2018-09-0929New York Rangers2Carolina Hurricanes1WSommaire du Match
9 - 2018-09-1353San Jose Sharks2New York Rangers4WSommaire du Match
10 - 2018-09-1466Edmonton Oilers5New York Rangers3LSommaire du Match
13 - 2018-09-1780Colorado Avalanche6New York Rangers2LSommaire du Match
14 - 2018-09-1889New York Rangers1Washington Capitals4LSommaire du Match
18 - 2018-09-22117Calgary Flames4New York Rangers3LSommaire du Match
20 - 2018-09-24128Florida Panthers4New York Rangers2LSommaire du Match
22 - 2018-09-26138New York Rangers2Chicago Blackhawks5LSommaire du Match
25 - 2018-09-29163New York Rangers6Los Angeles Kings3WSommaire du Match
27 - 2018-10-01176New York Rangers1San Jose Sharks4LSommaire du Match
29 - 2018-10-03179New York Rangers5Anaheim Ducks4WSommaire du Match
32 - 2018-10-06208Buffalo Sabres3New York Rangers2LSommaire du Match
34 - 2018-10-08218Montreal Canadiens2New York Rangers4WSommaire du Match
37 - 2018-10-11237New York Rangers6Detroit Red Wings5WXXSommaire du Match
38 - 2018-10-12245New York Rangers5Columbus Blue Jackets3WSommaire du Match
40 - 2018-10-14263Vancouver Canucks3New York Rangers1LSommaire du Match
43 - 2018-10-17281New York Rangers3New York Islanders4LSommaire du Match
45 - 2018-10-19298Florida Panthers1New York Rangers2WSommaire du Match
47 - 2018-10-21311Dallas Stars3New York Rangers5WSommaire du Match
49 - 2018-10-23328New York Islanders6New York Rangers5LXSommaire du Match
50 - 2018-10-24341New York Rangers4Philadelphia Flyers3WSommaire du Match
51 - 2018-10-25353Washington Capitals5New York Rangers3LSommaire du Match
53 - 2018-10-27365Ottawa Senators4New York Rangers5WXSommaire du Match
56 - 2018-10-30386New York Rangers3Ottawa Senators4LXSommaire du Match
58 - 2018-11-01400New York Rangers4Montreal Canadiens3WSommaire du Match
59 - 2018-11-02411Winnipeg Jets1New York Rangers2WSommaire du Match
65 - 2018-11-08450New York Rangers4Florida Panthers3WSommaire du Match
67 - 2018-11-10464New York Rangers3Tampa Bay Lightning2WSommaire du Match
71 - 2018-11-14492Phoenix Coyotes6New York Rangers4LSommaire du Match
73 - 2018-11-16508Vegas Golden Knights2New York Rangers3WSommaire du Match
75 - 2018-11-18525Anaheim Ducks5New York Rangers6WXSommaire du Match
79 - 2018-11-22556New York Rangers4Toronto Maple Leafs3WSommaire du Match
80 - 2018-11-23563Philadelphia Flyers3New York Rangers2LSommaire du Match
81 - 2018-11-24572Columbus Blue Jackets2New York Rangers0LSommaire du Match
83 - 2018-11-26592New York Rangers3Nashville Predators2WXXSommaire du Match
85 - 2018-11-28610New York Rangers2St. Louis Blues3LXSommaire du Match
87 - 2018-11-30619Pittsburgh Penguins2New York Rangers5WSommaire du Match
89 - 2018-12-02632New York Rangers4Colorado Avalanche3WXSommaire du Match
91 - 2018-12-04646New York Rangers5Phoenix Coyotes4WSommaire du Match
93 - 2018-12-06665New York Rangers1Vegas Golden Knights4LSommaire du Match
95 - 2018-12-08677New York Islanders4New York Rangers0LSommaire du Match
97 - 2018-12-10695New York Rangers3New York Islanders1WSommaire du Match
98 - 2018-12-11700New York Rangers3Columbus Blue Jackets1WSommaire du Match
100 - 2018-12-13718Carolina Hurricanes4New York Rangers1LSommaire du Match
102 - 2018-12-15731Chicago Blackhawks2New York Rangers3WSommaire du Match
104 - 2018-12-17740New York Rangers4Boston Bruins5LXSommaire du Match
110 - 2018-12-23775Philadelphia Flyers2New York Rangers4WSommaire du Match
112 - 2018-12-25779New York Rangers5New Jersey Devils6LXSommaire du Match
114 - 2018-12-27796Tampa Bay Lightning0New York Rangers2WSommaire du Match
116 - 2018-12-29806Los Angeles Kings3New York Rangers2LSommaire du Match
118 - 2018-12-31821Boston Bruins2New York Rangers4WSommaire du Match
120 - 2019-01-02837Carolina Hurricanes4New York Rangers1LSommaire du Match
122 - 2019-01-04859Toronto Maple Leafs2New York Rangers5WSommaire du Match
124 - 2019-01-06874New York Rangers6Winnipeg Jets3WSommaire du Match
127 - 2019-01-09889New York Rangers4Buffalo Sabres1WSommaire du Match
129 - 2019-01-11909New York Rangers1Pittsburgh Penguins5LSommaire du Match
131 - 2019-01-13916New York Rangers6Carolina Hurricanes1WSommaire du Match
133 - 2019-01-15935Minnesota Wild4New York Rangers2LSommaire du Match
135 - 2019-01-17951New Jersey Devils4New York Rangers3LXSommaire du Match
136 - 2019-01-18961New York Rangers3Washington Capitals7LSommaire du Match
139 - 2019-01-21982Tampa Bay Lightning1New York Rangers2WSommaire du Match
141 - 2019-01-23996Montreal Canadiens3New York Rangers4WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251014Washington Capitals2New York Rangers4WSommaire du Match
145 - 2019-01-271022New York Rangers6Dallas Stars8LSommaire du Match
147 - 2019-01-291037New York Rangers5Detroit Red Wings4WXSommaire du Match
149 - 2019-01-311056New Jersey Devils3New York Rangers1LSommaire du Match
151 - 2019-02-021067New York Rangers3Edmonton Oilers2WSommaire du Match
153 - 2019-02-041082New York Rangers1Vancouver Canucks4LSommaire du Match
155 - 2019-02-061094New York Rangers3Calgary Flames7LSommaire du Match
156 - 2019-02-071104New York Rangers4Minnesota Wild1WSommaire du Match
159 - 2019-02-101129Detroit Red Wings6New York Rangers5LSommaire du Match
163 - 2019-02-141160New York Rangers5Toronto Maple Leafs4WSommaire du Match
165 - 2019-02-161172Pittsburgh Penguins0New York Rangers3WSommaire du Match
167 - 2019-02-181185New York Rangers1Boston Bruins2LSommaire du Match
169 - 2019-02-201200St. Louis Blues3New York Rangers5WSommaire du Match
171 - 2019-02-221218New York Rangers2Philadelphia Flyers3LSommaire du Match
172 - 2019-02-231224New York Rangers2New Jersey Devils5LSommaire du Match
174 - 2019-02-251241Ottawa Senators1New York Rangers3WSommaire du Match
176 - 2019-02-271256Columbus Blue Jackets6New York Rangers3LSommaire du Match
177 - 2019-02-281268New York Rangers0Pittsburgh Penguins3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance234,154193,61777,333156,77039,201
Attendance PCT95.18%94.45%94.31%95.59%95.61%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17099 - 95.00% 1,069,347$43,843,207$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
42,533,580$ 38,407,000$ 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
38,407,000$ 35,820,190$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 254,653$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 38,407,000$ 114,517,440$ 114,517,440$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jonathan MarchessaultAGE:26PO:1OV:84
Yanni GourdeAGE:25PO:1OV:80
Timo MeierAGE:20PO:1OV:77
Dwight KingAGE:27PO:1OV:62
Michael BuntingAGE:21PO:1OV:56
Colton HargroveAGE:24PO:1OV:54
Anze KopitarAGE:29PO:1OV:88
Dylan LarkinAGE:20PO:1OV:83
Yanni GourdeAGE:25PO:1OV:80
Matt StajanAGE:33PO:1OV:71
Cody BassAGE:30PO:1OV:59
*Luke KuninAGE:19PO:1OV:57
*Mark OlverAGE:29PO:1OV:56
Tyler GaudetAGE:23PO:1OV:53
Yanni GourdeAGE:25PO:1OV:80
Timo MeierAGE:20PO:1OV:77
Joel WardAGE:36PO:1OV:74
Joshua Ho-SangAGE:20PO:1OV:70
Mitch CallahanAGE:25PO:1OV:60
*Luke KuninAGE:19PO:1OV:57

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

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Avery PetersonNew York Rangers9171
Frederik OlofssonNew York Rangers1080
Matthew StromeNew York Rangers1368
Miro HeiskanenNew York Rangers137
Shane EisermanNew York Rangers10158
Ukko-Pekka LuukkonenNew York Rangers1337
Vladimir BobylevNew York Rangers12131
William BorgenNew York Rangers11100

Choix au Repêchage

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



[2019-03-27 07:57:48] - Wolf Pack hired Jay Leach for 100 000 $ for 5 year(s).
[2019-03-27 07:57:46] - Wolf Pack fired Paul MacLean.
[2019-03-20 05:20:14] - General Manager Change : New York Rangers hired general manager Steve Lechasseur
[2019-03-20 05:20:14] - General Manager Change : New York Rangers fired general manager Steve Chassé
[2019-03-20 05:19:56] - Wolf Pack hired Paul MacLean for 3 800 000 $ for 1 year(s).
[2019-03-20 05:19:09] - Wolf Pack fired Jeremy Colliton.
[2019-03-19 05:25:14] - Wolf Pack hired Jeremy Colliton for 1 000 000 $ for 5 year(s).
[2019-03-19 05:24:58] - Wolf Pack fired Paul MacLean.
[2019-03-19 05:24:54] - General Manager Change : New York Rangers hired general manager Steve Chassé
[2019-03-19 05:24:54] - General Manager Change : New York Rangers fired general manager Dominic Parent
[2019-03-07 10:21:13] - General Manager Change : New York Rangers hired general manager Dominic Parent
[2019-03-07 10:21:13] - General Manager Change : New York Rangers fired general manager Sébastien Lessard
[2019-02-02 19:19:10] - TRADE : From Edmonton Oilers to New York Rangers : Yanni Gourde (80).
[2019-02-02 19:19:10] - TRADE : From New York Rangers to Edmonton Oilers : Ryan Murray (77).
[2019-01-22 15:02:18] - TRADE : From New York Rangers to Boston Bruins : Y:18-RND:3-NYR.
[2019-01-22 15:02:18] - TRADE : From Boston Bruins to New York Rangers : Adam McQuaid (74).
[2019-01-01 19:44:35] - TRADE : From New York Rangers to Phoenix Coyotes : Y:18-RND:1-NYR.
[2018-09-29 10:50:39] - Team Name Change : Connecticut Whale changed name to Wolf Pack
[2018-09-25 15:35:42] - TRADE : From New York Rangers to Chicago Blackhawks : Andrew Shaw, David Kampf.
[2018-09-25 15:35:42] - TRADE : From Chicago Blackhawks to New York Rangers : Joshua Ho-Sang, Michael Bunting.
[2018-09-24 15:57:38] - TRADE : From Pittsburgh Penguins to New York Rangers : Avery Peterson (P), Shane Eiserman (P), Y:15-RND:4-Bos, Y:16-RND:5-Pit.
[2018-09-24 15:57:38] - TRADE : From New York Rangers to Pittsburgh Penguins : Tom Pyatt, Mike Cammalleri.
[2018-09-24 15:56:42] - TRADE : From Phoenix Coyotes to New York Rangers : Tyler Gaudet, Y:15-RND:6-Pit.
[2018-09-24 15:56:42] - TRADE : From New York Rangers to Phoenix Coyotes : Nail Yakupov.
[2018-09-22 15:58:08] - Jonathan Marchessault has been selected as assistant for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer as assistant for New York Rangers.
[2018-09-22 15:58:08] - Anze Kopitar has been selected as assistant for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer as assistant for New York Rangers.
[2018-09-22 15:58:08] - Shea Weber has been selected as captain for New York Rangers.
[2018-09-22 15:58:08] - Unknown Player is no longer captain for New York Rangers.
[2018-09-18 09:41:47] - General Manager Change : New York Rangers hired general manager Sébastien Lessard
[2018-09-18 09:41:47] - General Manager Change : New York Rangers fired general manager Sach Verville
[2018-09-14 12:15:50] - Jarome Iginla was released.
[2018-09-14 12:15:50] - New York Rangers paid 0 $ to release Jarome Iginla.
[2018-09-09 15:06:43] - C.J. Motte was added to New York Rangers.



[2019-04-06 12:59:18] Stephon Williams from Wolf Pack injured (Exhaustion)
[2019-04-06 12:59:07] Oscar Klefbom from New York Rangers is back from Groin Injury.
[2019-04-06 12:59:04] Matt Stajan from New York Rangers is back from Strained Left Elbow Injury.
[2019-04-06 12:58:36] Yanni Gourde from New York Rangers is back from Fractured Right Foot Injury.
[2019-04-06 11:55:56] Game 1268 - Oscar Klefbom from New York Rangers is injured (Groin) and is out for 2 weeks.
[2019-04-06 11:55:56] Game 1268 - Matt Stajan from New York Rangers is injured (Strained Left Elbow) and is out for 2 weeks.
[2019-04-06 11:54:14] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-04-05 08:45:57] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-04-05 08:45:57] Stephon Williams of New York Rangers was sent to farm.
[2019-04-03 08:16:12] Luke Kunin from New York Rangers is back from Back Spasms Injury.
[2019-04-03 08:16:12] Game 1241 - Luke Kunin from New York Rangers is injured (Back Spasms) and is out for 2 days.
[2019-04-03 08:15:41] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-04-03 08:15:41] Stephon Williams of New York Rangers was sent to pro.
[2019-04-03 08:15:41] C.J. Motte of New York Rangers was sent to farm.
[2019-04-02 08:21:05] Brian Elliott from New York Rangers is back from Exhaustion.
[2019-04-02 08:19:31] C.J. Motte of New York Rangers was sent to pro.
[2019-04-02 08:19:01] New York Rangers roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2019-04-02 08:18:43] Auto Lines Farm Function has been run for Wolf Pack.
[2019-04-02 08:18:41] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-04-01 07:49:17] Brian Elliott from New York Rangers injured (Exhaustion)
[2019-04-01 07:48:40] Auto Lines Farm Function has been run for Wolf Pack.
[2019-04-01 07:48:38] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-31 09:05:25] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-29 04:57:27] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-28 06:13:37] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-27 07:59:06] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-27 07:57:48] Wolf Pack hired Jay Leach for 100 000 $ for 5 year(s).
[2019-03-27 07:57:46] Wolf Pack fired Paul MacLean.
[2019-03-26 10:38:00] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-26 10:37:59] Michael Bunting of New York Rangers was sent to pro.
[2019-03-25 07:50:09] Game 1172 - Yanni Gourde from New York Rangers is injured (Fractured Right Foot) and is out for 2 weeks.
[2019-03-25 07:49:16] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-25 07:49:16] Vincent LoVerde of New York Rangers was sent down to farm.
[2019-03-24 10:30:22] Shea Weber from New York Rangers is back from Right Forearm Injury.
[2019-03-23 16:26:02] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-22 05:24:20] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-20 05:19:56] Wolf Pack hired Paul MacLean for 3 800 000 $ for 1 year(s).
[2019-03-20 05:19:09] Wolf Pack fired Jeremy Colliton.
[2019-03-20 05:18:20] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-19 05:25:14] Wolf Pack hired Jeremy Colliton for 1 000 000 $ for 5 year(s).
[2019-03-19 05:24:58] Wolf Pack fired Paul MacLean.
[2019-03-19 05:22:39] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-19 05:22:39] New York Rangers Email Address was changed to stilechasse@hotmail.com.
[2019-03-19 05:22:35] Adam Pardy of New York Rangers was sent down to farm.
[2019-03-18 05:15:02] Marc Staal from New York Rangers is back from Sprained Right Finger Injury.
[2019-03-18 05:14:42] Successfully loaded New York Rangers lines done with STHS Client - 3.1.7.7
[2019-03-18 05:14:42] Mark Olver of New York Rangers was sent down to farm.
[2019-03-18 05:14:42] Luke Kunin of New York Rangers was sent to pro.
[2019-03-18 05:14:42] Colton Hargrove of New York Rangers was sent down to farm.
[2019-03-18 05:14:42] Adam Pardy of New York Rangers was sent to pro.



Stephon Williams est dehors pour 1 jours à cause de Exhaustion.



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
1382353404630260276-1641171902210122129-741181502420138147-990260456716329778788238477980278527259176884317772988026.85%3437478.43%41345276048.73%1432290649.28%683135950.26%1911131820125941027506
Total Saison Régulière82353404630260276-1641171902210122129-741181502420138147-990260456716329778788238477980278527259176884317772988026.85%3437478.43%41345276048.73%1432290649.28%683135950.26%1911131820125941027506