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OTHL - Rangers 

Rangers
GP: 82 | W: 32 | L: 45 | OTL: 5 | P: 69
GF: 219 | GA: 269 | PP%: 17.15% | PK%: 77.12%
DG: Daniel | Morale : 50 | Moyenne d'Équipe : 69
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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 SPÂgeContratSalaire
1Claude Giroux (A)XXX98.0069428787677993909983817263828681507703338,660,000$
2Gabriel LandeskogX98.0081567684798481949081876150757781507602836,750,000$
3Kyle PalmieriX100.0076438286677587853675876139727480507203014,650,000$
4Charlie CoyleXXX99.0077559085827483747875746866737675507202944,500,000$
5Robby FabbriXX100.0077438981687365814073765825636574506802522,950,000$
6Jesper BrattXX100.0065419691636673763272786263626374506802232,850,000$
7Brad RichardsonXX100.0078448980706580589158599225808368506703621,500,000$
8Artturi LehkonenXX100.0082448980677093583965717725666673506702511,350,000$
9Milan LucicX100.0094887870886591734064626025828867506603212,250,000$
10Colin WhiteXX100.0071528181677084767771605853646466506602421,491,667$
11Jack RoslovicXX100.0071439479696891704969705625626370506502411,106,666$
12Roman Josi (C)X99.0071538390749593902584638161737677507703038,000,000$
13Brenden DillonX98.0093886084867893622554478025747764507203013,270,000$
14Erik GustafssonX100.0078488783658388822571566175646566506802922,000,000$
15John Marino (R)X100.0078448882688063652567518225505067506802431,775,000$
16Andrej Sekera (A)X100.0067429179737462592549488425808162506803422,000,000$
17Matt GrzelcykX100.0071428583617584732559487025596163506602711,400,000$
Rayé
1Mark StoneX90.6073548783828188803792837535686982507602948,000,000$
2Marcus SorensenXX100.007142887964669059306360752561636750640292900,000$
3Melker KarlssonXX100.0067428978656287574060597775666965506403021,100,000$
4Chad RuhwedelX87.138344907269655460254948702559606050620313700,000$
Équipe Mineure
1Brendan PerliniXX100.0067439184795771652558566175646462506302541,500,000$
2Kevin RoyXX100.006961876061656662505960615745456250590281925,000$
3Caleb JonesX100.007143926771647961255050667559596050630232815,000$
4Ian McCoshenX100.0076806660807077472537406238505051505902511,025,000$
MOYENNE D'ÉQUIPE98.79755185807172817043666369446668695068
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 SPÂgeContratSalaire
1Marc-Andre Fleury99.007688877075766776757684828876507503628,300,000$
2Jean-Francois Berube100.00566986665259556256563047485850580292700,000$
Rayé
Équipe Mineure
1Cory Schneider100.00506162805446505258507269705350570352900,000$
2Charlie Lindgren100.005158737548535458525230464653505502711,000,000$
MOYENNE D'ÉQUIPE99.7558697773575957626059546163605061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault72607085637170CAN5525,000,000$


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

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# 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
1Roman JosiRangersD8195261-161957813111539797.83%142186623.04471161163011219631 0.00%000000.6512100246
2Gabriel LandeskogRangersLW7528315919020179106303721959.24%14148219.77471156194101121035053.60%22200000.8001103621
3Charlie CoyleRangersC/LW/RW82212849-12455127166236661688.90%8149518.245914371970002293250.36%180300000.6600001323
4Mark StoneRangersRW69262248629568941966014813.27%19139020.154262615300041256127.74%13700000.6922001261
5Kyle PalmieriRangersRW77212243-12260831142105416510.00%13128316.67471124840000244233.29%83800010.6700000302
6Erik GustafssonRangersD8233437-14520192688231543.66%82178221.733101342203022117301 0.00%000000.4211000021
7Jesper BrattRangersLW/RW78181937-54027101189481469.52%11125516.104592515110151201027.27%37400010.5903000213
8Claude GirouxRangersC/LW/RW4316203654027107141529311.35%980318.6943719881012620157.80%99300000.9000000222
9Robby FabbriRangersC/LW80112031-112206967163531146.75%10118814.8604410570002981127.41%13500000.5200000032
10Brenden DillonRangersD8252631-12178303046110229644.90%120186122.7035849204000217201 0.00%000000.3300312031
11Andrej SekeraRangersD6872229-4200564663214511.11%112128818.942461984011015320 0.00%000000.4500000203
12Artturi LehkonenRangersLW/RW82131225-5260115691295310510.08%19132216.123582216100051891028.88%27700000.3800000220
13Matt GrzelcykRangersD8132124-457593566224394.84%61145517.9713419129011114500 0.00%000000.3300000021
14Brad RichardsonRangersC/LW751012220604212210431629.62%2083011.0801133501101221053.09%105100100.5300000012
15John MarinoRangersD5831821120055483513258.57%7398016.9000043300016400 0.00%000000.4300000121
16Melker KarlssonRangersC/RW497512-1100285051154713.73%472214.7400004000001038.18%5500000.3300000001
17Jack RoslovicRangersC/RW553811-192019264515356.67%662011.280115370000230028.83%11100000.3500000000
18Colin WhiteRangersC/RW78459-1512031737014515.71%56998.96000329000050049.65%57400000.2600000001
19Chad RuhwedelRangersD40099-11803521178120.00%3563215.81000000000200 0.00%000000.2800000010
20Marcus SorensenRangersLW/RW54448-114026365211257.69%854910.17011234000011027.46%33500000.2900000100
21Milan LucicRangersLW74437-82359330479308.51%75257.1000001000041013.64%2200000.2700100210
22Brendan PerliniWolf Pack (NYR)LW/RW10112-2404411299.09%014714.7600013000000014.29%1400000.2700000000
23Kevin RoyWolf Pack (NYR)LW/RW3000-20002001 0.00%0206.9600000000000040.00%2500000.0000000000
Stats d'équipe Total ou en Moyenne1476217394611-1516617517511598242372017128.96%7782420216.4041741154272056369391821301045.08%696600120.5049617283431
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

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# 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
1Marc-Andre FleuryRangers58242740.9043.0432196316316940020.700105626552
2Jean-Francois BerubeRangers3281810.8953.56172121102968011 0.00002656301
Stats d'équipe Total ou en Moyenne90324550.9003.2249418426526620130.700108282853


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 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
Andrej SekeraRangersD341986-06-08No200 Lbs6 ft0YesNoNo2Pro & Farm2,000,000$2,000,000$0$No2,000,000$Lien / Lien NHL
Artturi LehkonenRangersLW/RW251995-07-04No183 Lbs6 ft0NoNoNo1Pro & Farm1,350,000$1,350,000$0$NoLien / Lien NHL
Brad RichardsonRangersC/LW361985-02-03No190 Lbs6 ft0YesNoNo2Pro & Farm1,500,000$1,500,000$0$No1,500,000$Lien / Lien NHL
Brenden DillonRangersD301990-11-13No225 Lbs6 ft4NoNoNo1Pro & Farm3,270,000$3,270,000$0$NoLien / Lien NHL
Chad Ruhwedel (Sur la Masse Salariale)RangersD311990-05-07No191 Lbs5 ft11NoNoNo3Pro & Farm700,000$0$0$Yes700,000$700,000$Lien / Lien NHL
Charlie CoyleRangersC/LW/RW291992-03-02No221 Lbs6 ft3NoNoNo4Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$4,500,000$Lien / Lien NHL
Claude GirouxRangersC/LW/RW331988-01-12No185 Lbs5 ft11NoNoNo3Pro & Farm8,660,000$8,660,000$0$No8,660,000$8,660,000$Lien / Lien NHL
Colin WhiteRangersC/RW241997-01-30No183 Lbs6 ft0NoNoNo2Pro & Farm1,491,667$1,491,667$0$No1,491,667$Lien / Lien NHL
Erik GustafssonRangersD291992-03-14No176 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$2,000,000$0$No2,000,000$Lien / Lien NHL
Gabriel LandeskogRangersLW281992-11-23No215 Lbs6 ft1NoNoNo3Pro & Farm6,750,000$6,750,000$0$No6,750,000$6,750,000$Lien / Lien NHL
Jack RoslovicRangersC/RW241997-01-28No187 Lbs6 ft1NoNoNo1Pro & Farm1,106,666$1,106,666$0$NoLien / Lien NHL
Jean-Francois BerubeRangersG291991-07-13No177 Lbs6 ft1YesNoNo2Pro & Farm700,000$700,000$0$No700,000$Lien
Jesper BrattRangersLW/RW221998-07-30No175 Lbs5 ft10NoNoNo3Pro & Farm2,850,000$2,850,000$0$No2,850,000$2,850,000$Lien / Lien NHL
John MarinoRangersD241997-05-21Yes181 Lbs6 ft1NoNoNo3Pro & Farm1,775,000$1,775,000$0$No1,775,000$1,775,000$Lien / Lien NHL
Kyle PalmieriRangersRW301991-02-01No185 Lbs5 ft11NoNoNo1Pro & Farm4,650,000$4,650,000$0$NoLien / Lien NHL
Marc-Andre FleuryRangersG361984-11-28No180 Lbs6 ft2NoNoNo2Pro & Farm8,300,000$8,300,000$0$No8,300,000$Lien / Lien NHL
Marcus SorensenRangersLW/RW291992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm900,000$900,000$0$No900,000$Lien / Lien NHL
Mark Stone (Sur la Masse Salariale)RangersRW291992-05-13No219 Lbs6 ft4NoNoNo4Pro & Farm8,000,000$0$0$Yes8,000,000$8,000,000$8,000,000$Lien / Lien NHL
Matt GrzelcykRangersD271994-01-05No174 Lbs5 ft9NoNoNo1Pro & Farm1,400,000$1,400,000$0$NoLien / Lien NHL
Melker KarlssonRangersC/RW301990-07-18No182 Lbs5 ft10YesNoNo2Pro & Farm1,100,000$1,100,000$0$No1,100,000$Lien / Lien NHL
Milan LucicRangersLW321988-06-06No236 Lbs6 ft3NoNoNo1Pro & Farm2,250,000$2,250,000$0$NoLien / Lien NHL
Robby FabbriRangersC/LW251996-01-22No190 Lbs5 ft10NoNoNo2Pro & Farm2,950,000$2,950,000$0$No2,950,000$Lien / Lien NHL
Roman JosiRangersD301990-05-31No201 Lbs6 ft1NoNoNo3Pro & Farm8,000,000$8,000,000$0$No8,000,000$8,000,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.96193 Lbs6 ft02.173,313,188$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
76,203,333$62,176,667$41,235,000$12,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogClaude Giroux40122
2Robby FabbriCharlie CoyleKyle Palmieri30122
3Jesper BrattBrad RichardsonArtturi Lehkonen20122
4Milan LucicColin WhiteJack Roslovic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiBrenden Dillon40122
2Erik GustafssonAndrej Sekera30122
3John MarinoMatt Grzelcyk20122
4Roman JosiBrenden Dillon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel LandeskogClaude Giroux60122
2Jesper BrattCharlie CoyleArtturi Lehkonen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiBrenden Dillon60122
2Erik GustafssonAndrej Sekera40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jesper Bratt60122
2Artturi LehkonenCharlie Coyle40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiBrenden Dillon60122
2Erik GustafssonAndrej Sekera40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jesper Bratt60122Roman JosiBrenden Dillon60122
240122Erik GustafssonAndrej Sekera40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Charlie Coyle60122
2Claude GirouxJesper Bratt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman JosiBrenden Dillon60122
2Erik GustafssonAndrej Sekera40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogClaude GirouxRoman JosiBrenden Dillon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel LandeskogClaude GirouxRoman JosiBrenden Dillon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Jesper Bratt, Artturi Lehkonen, Jesper BrattArtturi Lehkonen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brenden Dillon, Andrej Sekera, Erik GustafssonBrenden DillonBrenden Dillon, Erik Gustafsson
Tirs de Pénalité
Jesper Bratt, , Claude Giroux, Artturi Lehkonen, Charlie Coyle
Gardien
#1 : Marc-Andre Fleury, #2 : Jean-Francois Berube
Lignes d'Attaque Perso. en Prol.
Claude Giroux, , Gabriel Landeskog, Milan Lucic, Charlie Coyle, Robby Fabbri, Robby Fabbri, Jesper Bratt, Artturi Lehkonen, Brad Richardson, Colin White
Lignes de Défense Perso. en Prol.
Roman Josi, Brenden Dillon, Erik Gustafsson, Andrej Sekera, Matt Grzelcyk


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
1Avalanche21001000853100010004311100000042241.0008142200502161242115154118698112.50%4250.00%01244273845.43%1294287545.01%602132545.43%493445152613
2Blackhawks20100010810-2100000104311010000047-320.5008132100430155261513368211447700.00%6350.00%01244273845.43%1294287545.01%602132545.43%483249152613
3Blue Jackets412010001314-12020000058-32100100086240.500132336009211147633446413647266813323.08%12283.33%01244273845.43%1294287545.01%602132545.43%1007290275025
4Blues2110000035-21010000015-41100000020220.500369012100572420130641428395120.00%7185.71%01244273845.43%1294287545.01%602132545.43%493345132513
5Bruins31100100862211000006331000010023-130.500814221033209128372511143522759111.11%11190.91%01244273845.43%1294287545.01%602132545.43%694774234019
6Canadiens32100000972110000004312110000054140.66791524015400802632220892524587342.86%110100.00%01244273845.43%1294287545.01%602132545.43%704871213819
7Canucks2020000037-41010000024-21010000013-200.000347002010491221160831610445120.00%5180.00%01244273845.43%1294287545.01%602132545.43%422751152512
8Capitals422000007432020000013-22200000061540.500712190142101114232370130443594800.00%15193.33%01244273845.43%1294287545.01%602132545.43%926498274824
9Coyotes2020000036-31010000002-21010000034-100.000358002100481523100692625405120.00%6266.67%01244273845.43%1294287545.01%602132545.43%402753142612
10Devils411002001115-42010010059-42100010066040.50011213200335010635274221484250901218.33%14378.57%21244273845.43%1294287545.01%602132545.43%1007093275025
11Ducks2020000068-21010000034-11010000034-100.00061218002310762926210671910482150.00%5180.00%01244273845.43%1294287545.01%602132545.43%463248122411
12Flames20200000812-41010000047-31010000045-100.0008142200332054191718070188451000.00%4250.00%01244273845.43%1294287545.01%602132545.43%443149142512
13Flyers404000001126-1520200000613-720200000513-800.00011213200137011329374701624424758225.00%12650.00%01244273845.43%1294287545.01%602132545.43%916598274924
14Golden Knights22000000532110000002111100000032141.00051015003200582614180541114455120.00%70100.00%01244273845.43%1294287545.01%602132545.43%493446132413
15Hurricanes430000101697220000008352100001086281.00016294500528213236494731063634768337.50%15473.33%01244273845.43%1294287545.01%602132545.43%966998285024
16Islanders4220000012120211000007702110000055040.500122335105520106394126010535308414214.29%30100.00%01244273845.43%1294287545.01%602132545.43%926394285327
17Jets21100000651110000003121010000034-120.50061016002220622620160581122439222.22%6183.33%01244273845.43%1294287545.01%602132545.43%483346142512
18Kings21100000440110000003211010000012-120.5004812002110521913200692425473266.67%10190.00%01244273845.43%1294287545.01%602132545.43%422750152713
19Lightning30300000815-71010000035-220200000510-500.000815230032307822223401103242769222.22%21766.67%01244273845.43%1294287545.01%602132545.43%613979223919
20Maple Leafs321000001394211000007701100000062440.66713213400373010427433409127187811218.18%8362.50%01244273845.43%1294287545.01%602132545.43%795664183619
21Oilers2020000038-51010000013-21010000025-300.0003580001204219101306918839500.00%3166.67%01244273845.43%1294287545.01%602132545.43%412754142412
22Panthers3120000067-11010000012-12110000055020.33361117002130832827280101352946800.00%12283.33%01244273845.43%1294287545.01%602132545.43%694973213618
23Penguins41300000518-132110000049-52020000019-820.250591400302014562414201133429791218.33%12833.33%01244273845.43%1294287545.01%602132545.43%1006984285428
24Predators22000000752110000004311100000032141.0007132000313059241718072218465120.00%40100.00%01244273845.43%1294287545.01%602132545.43%483347132412
25Red Wings3120000079-22020000036-31100000043120.33371320005110882925340822230667228.57%15566.67%01244273845.43%1294287545.01%602132545.43%745067213819
26Sabres3030000028-62020000016-51010000012-100.00024600011081301734083303251700.00%14192.86%01244273845.43%1294287545.01%602132545.43%745269213618
27Senators30200001710-31000000123-12020000057-210.16771219004211692024227912316698225.00%7185.71%01244273845.43%1294287545.01%602132545.43%704874223919
28Sharks20001100660100010003211000010034-130.750611170022118526322345916204213215.38%100100.00%11244273845.43%1294287545.01%602132545.43%543943132412
29Stars21100000912-3110000006421010000038-520.50091726003240722618280862316337228.57%7271.43%01244273845.43%1294287545.01%602132545.43%432950142612
30Wild21100000541110000003031010000024-220.5005914113110592123150621812399222.22%5180.00%01244273845.43%1294287545.01%602132545.43%493444132512
Total82274503421219269-5041132302111106131-2541142201310113138-25690.421219394613349361607242385277877725266577866917512394117.15%2716277.12%31244273845.43%1294287545.01%602132545.43%1942134619625841045525
_Since Last GM Reset82274503421219269-5041132302111106131-2541142201310113138-25690.421219394613349361607242385277877725266577866917512394117.15%2716277.12%31244273845.43%1294287545.01%602132545.43%1942134619625841045525
_Vs Conference52172901311135169-3426717001016387-24261012012107282-10420.404135243378225538404153451648852017166151144110851412417.02%1824475.82%21244273845.43%1294287545.01%602132545.43%12448651234370661333
_Vs Division281014012107598-231449001003652-161465011103946-7260.464751382131130172638603062612879900282228566751216.00%832471.08%21244273845.43%1294287545.01%602132545.43%675473659197356179

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8269SOW121939461324232665778669175134
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8227453421219269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113232111106131
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114221310113138
Derniers 10 Matchs
WLOTWOTL SOWSOL
270010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2394117.15%2716277.12%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
852778777259361607
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
1244273845.43%1294287545.01%602132545.43%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1942134619625841045525


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 - 2020-10-2510Jets1Rangers3WSommaire du Match
4 - 2020-10-2726Rangers2Senators3LSommaire du Match
11 - 2020-11-0371Oilers3Rangers1LSommaire du Match
16 - 2020-11-08103Rangers4Devils3WSommaire du Match
17 - 2020-11-09112Rangers3Capitals0WSommaire du Match
19 - 2020-11-11127Canucks4Rangers2LSommaire du Match
21 - 2020-11-13141Coyotes2Rangers0LSommaire du Match
23 - 2020-11-15153Sabres2Rangers0LSommaire du Match
26 - 2020-11-18174Bruins1Rangers6WSommaire du Match
28 - 2020-11-20185Lightning5Rangers3LSommaire du Match
32 - 2020-11-24213Rangers3Predators2WSommaire du Match
34 - 2020-11-26223Senators3Rangers2LXXSommaire du Match
36 - 2020-11-28236Red Wings1Rangers0LSommaire du Match
37 - 2020-11-29238Rangers5Hurricanes4WXXSommaire du Match
40 - 2020-12-02267Panthers2Rangers1LSommaire du Match
42 - 2020-12-04276Penguins2Rangers3WSommaire du Match
44 - 2020-12-06292Rangers1Lightning3LSommaire du Match
46 - 2020-12-08303Rangers2Panthers3LSommaire du Match
50 - 2020-12-12332Capitals1Rangers0LSommaire du Match
52 - 2020-12-14346Rangers3Senators4LSommaire du Match
53 - 2020-12-15353Rangers2Canadiens0WSommaire du Match
55 - 2020-12-17370Wild0Rangers3WSommaire du Match
57 - 2020-12-19384Hurricanes1Rangers4WSommaire du Match
59 - 2020-12-21392Rangers2Bruins3LXSommaire du Match
60 - 2020-12-22411Rangers2Devils3LXSommaire du Match
62 - 2020-12-24423Golden Knights1Rangers2WSommaire du Match
65 - 2020-12-27440Rangers4Blue Jackets3WSommaire du Match
66 - 2020-12-28450Canadiens3Rangers4WSommaire du Match
68 - 2020-12-30466Rangers3Golden Knights2WSommaire du Match
70 - 2021-01-01477Rangers1Kings2LSommaire du Match
72 - 2021-01-03495Rangers3Sharks4LXSommaire du Match
74 - 2021-01-05501Rangers3Ducks4LSommaire du Match
76 - 2021-01-07522Predators3Rangers4WSommaire du Match
80 - 2021-01-11551Maple Leafs4Rangers2LSommaire du Match
82 - 2021-01-13567Ducks4Rangers3LSommaire du Match
83 - 2021-01-14576Rangers3Flyers6LSommaire du Match
87 - 2021-01-18589Hurricanes2Rangers4WSommaire du Match
88 - 2021-01-19599Rangers6Maple Leafs2WSommaire du Match
91 - 2021-01-22620Rangers2Oilers5LSommaire du Match
93 - 2021-01-24630Rangers4Flames5LSommaire du Match
95 - 2021-01-26651Rangers1Canucks3LSommaire du Match
98 - 2021-01-29670Avalanche3Rangers4WXSommaire du Match
100 - 2021-01-31684Devils5Rangers4LXSommaire du Match
102 - 2021-02-02700Rangers2Blues0WSommaire du Match
104 - 2021-02-04710Islanders2Rangers4WSommaire du Match
107 - 2021-02-07734Rangers2Islanders3LSommaire du Match
110 - 2021-02-10757Blue Jackets3Rangers2LSommaire du Match
112 - 2021-02-12764Islanders5Rangers3LSommaire du Match
122 - 2021-02-22788Red Wings5Rangers3LSommaire du Match
123 - 2021-02-23795Rangers4Red Wings3WSommaire du Match
125 - 2021-02-25810Stars4Rangers6WSommaire du Match
127 - 2021-02-27826Maple Leafs3Rangers5WSommaire du Match
129 - 2021-03-01841Sabres4Rangers1LSommaire du Match
131 - 2021-03-03858Kings2Rangers3WSommaire du Match
133 - 2021-03-05876Rangers3Jets4LSommaire du Match
135 - 2021-03-07884Rangers2Wild4LSommaire du Match
136 - 2021-03-08892Rangers4Blue Jackets3WXSommaire du Match
138 - 2021-03-10910Bruins2Rangers0LSommaire du Match
141 - 2021-03-13928Rangers4Blackhawks7LSommaire du Match
143 - 2021-03-15942Rangers3Hurricanes2WSommaire du Match
144 - 2021-03-16952Sharks2Rangers3WXSommaire du Match
147 - 2021-03-19976Rangers3Islanders2WSommaire du Match
149 - 2021-03-21987Rangers3Canadiens4LSommaire du Match
150 - 2021-03-22997Rangers2Flyers7LSommaire du Match
152 - 2021-03-241015Flyers7Rangers3LSommaire du Match
154 - 2021-03-261023Blues5Rangers1LSommaire du Match
156 - 2021-03-281038Capitals2Rangers1LSommaire du Match
158 - 2021-03-301055Devils4Rangers1LSommaire du Match
161 - 2021-04-021071Rangers3Stars8LSommaire du Match
162 - 2021-04-031080Rangers4Avalanche2WSommaire du Match
165 - 2021-04-061098Rangers3Coyotes4LSommaire du Match
167 - 2021-04-081121Flames7Rangers4LSommaire du Match
169 - 2021-04-101134Penguins7Rangers1LSommaire du Match
171 - 2021-04-121150Rangers0Penguins4LSommaire du Match
173 - 2021-04-141164Rangers1Sabres2LSommaire du Match
175 - 2021-04-161180Blue Jackets5Rangers3LSommaire du Match
177 - 2021-04-181198Rangers3Capitals1WSommaire du Match
179 - 2021-04-201214Rangers4Lightning7LSommaire du Match
181 - 2021-04-221227Rangers3Panthers2WSommaire du Match
183 - 2021-04-241241Flyers6Rangers3LSommaire du Match
184 - 2021-04-251250Rangers1Penguins5LSommaire du Match
186 - 2021-04-271267Blackhawks3Rangers4WXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000400030001000
Prix des Billets220165135110300
Assistance156,531125,26995,08164,44428,214
Attendance PCT63.63%61.11%57.98%52.39%68.81%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 11452 - 60.27% 2,036,468$83,495,180$19000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
75,069,727$ 67,503,333$ 66,653,335$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
362,921$ 70,069,704$ 0$ 21 2

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 389,803$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
0$ 42,144,744$ 42,144,744$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
70,069,704$ 11,430,296$ 81,500,000$ 9,869,704$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Claude GirouxAGE:33PO:81OV:77
Gabriel LandeskogAGE:28PO:81OV:76
Charlie CoyleAGE:29PO:75OV:72
Robby FabbriAGE:25PO:74OV:68
Jesper BrattAGE:22PO:74OV:68
Artturi LehkonenAGE:25PO:73OV:67
Brad RichardsonAGE:36PO:68OV:67
Milan LucicAGE:32PO:67OV:66
Marcus SorensenAGE:29PO:67OV:64
Brendan PerliniAGE:25PO:62OV:63
Kevin RoyAGE:28PO:62OV:59
Claude GirouxAGE:33PO:81OV:77
Charlie CoyleAGE:29PO:75OV:72
Robby FabbriAGE:25PO:74OV:68
Brad RichardsonAGE:36PO:68OV:67
Colin WhiteAGE:24PO:66OV:66
Jack RoslovicAGE:24PO:70OV:65
Melker KarlssonAGE:30PO:65OV:64
Claude GirouxAGE:33PO:81OV:77
Mark StoneAGE:29PO:82OV:76
Kyle PalmieriAGE:30PO:80OV:72
Charlie CoyleAGE:29PO:75OV:72
Jesper BrattAGE:22PO:74OV:68
Artturi LehkonenAGE:25PO:73OV:67
Colin WhiteAGE:24PO:66OV:66
Jack RoslovicAGE:24PO:70OV:65
Marcus SorensenAGE:29PO:67OV:64
Melker KarlssonAGE:30PO:65OV:64
Brendan PerliniAGE:25PO:62OV:63
Kevin RoyAGE:28PO:62OV:59

Défense #1Défense #2Gardien
Roman JosiAGE:30PO:77OV:77
Brenden DillonAGE:30PO:64OV:72
John Marino (R)AGE:24PO:67OV:68
Erik GustafssonAGE:29PO:66OV:68
Andrej SekeraAGE:34PO:62OV:68
Matt GrzelcykAGE:27PO:63OV:66
Caleb JonesAGE:23PO:60OV:63
Chad RuhwedelAGE:31PO:60OV:62
Ian McCoshenAGE:25PO:51OV:59
Marc-Andre FleuryAGE:36PO:76OV:75
Jean-Francois BerubeAGE:29PO:58OV:58
Cory SchneiderAGE:35PO:53OV:57
Charlie LindgrenAGE:27PO:53OV: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
Aapeli RasanenRangers2016115
Anthony BrodeurRangers2013193
Anthony CamaraRangers201198
Ben SextonRangers2009203
Bokondji ImamaRangers2015197
Bradley RossRangers201033
Brendan BrissonRangers202028
Connor CorcoranRangers2018151
Dennis BusbyRangers2018152
Dillon HeatheringtonRangers201358
Francis PerronRangers2014131
Garret RossRangers2012169
Garrett MetcalfRangers2015175
Henry RybinskiRangers2019110
Joachim BlichfeldRangers2016188
Joey DudekRangers2014168
Joshua BrownRangers2013167
Louis-Marc AubryRangers201084
Lukas ReichelRangers202018
Luke StevensRangers2015151
Matt SchmalzRangers2015185
Mattias ElfstromRangers2016155
Max GildonRangers201776
Nicholas CaamanoRangers2016125
Patrick SanvidoRangers2014209
Robin NorellRangers2013152
Ryan McLeodRangers201833
Sondre OldenRangers201059
Steven SpinnerRangers2014189
Tanner LaczynskiRangers2016139
Vaclav KarabacekRangers201456
Vladislav YeryomenkoRangers2018144
William CuylleRangers202060

Choix au Repêchage

Année R1R2R3R4R5R6R7
2021OTT
2022NYR NYR DAL NYR CAR NYR
2023NYR NYR NYR NYR NYR NYR NYR
2024NYR NYR NYR NYR NYR NYR NYR
2025NYR NYR NYR NYR NYR NYR NYR




La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2021-05-04 8:49:13 PM] - New Record for Team's Most Hits (41) in 1 Game for Rangers!
[2020-11-18 6:32:43 PM] - Andrej Sekera has been selected as assistant for Rangers.
[2020-11-18 6:32:43 PM] - Unknown Player is no longer as assistant for Rangers.
[2020-11-18 6:32:43 PM] - Claude Giroux has been selected as assistant for Rangers.
[2020-11-18 6:32:43 PM] - Unknown Player is no longer as assistant for Rangers.
[2020-11-18 6:32:43 PM] - Roman Josi has been selected as captain for Rangers.
[2020-11-18 6:32:43 PM] - Unknown Player is no longer captain for Rangers.
[2020-11-14 7:44:10 PM] - Reid Boucher was released.
[2020-11-14 7:44:10 PM] - Rangers paid $0 to release Reid Boucher.
[2020-10-27 7:45:23 PM] - Kevin Porter was released.



[2021-05-28 4:24:36 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-28 4:24:34 PM] Game 1267 - Mark Stone from Rangers is injured (Bruised Right Arm) and is out for 1 week.
[2021-05-26 6:19:05 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-25 6:42:22 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-23 8:23:27 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-21 9:15:39 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-19 4:06:45 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-19 4:06:21 PM] Auto Lines Partial Function has been run for Rangers.
[2021-05-19 4:06:21 PM] Rangers lines errors : Normal line # 1 LW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in normal lines 1 and 3. PP line 1 LW is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. OT Forward #3 is empty.
[2021-05-19 4:06:21 PM] Auto Roster Partial Function has been run for Rangers.
[2021-05-19 4:06:21 PM] Rangers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-05-17 4:27:18 PM] John Marino from Rangers is back from Left Forearm Injury.
[2021-05-17 4:27:18 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-17 4:27:16 PM] Game 1180 - Chad Ruhwedel from Rangers is injured (Torso) and is out for 3 weeks.
[2021-05-15 9:50:15 PM] Gabriel Landeskog from Rangers is back from Sprained Left Knee Injury.
[2021-05-15 9:50:15 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-15 9:50:08 PM] Auto Lines Partial Function has been run for Rangers.
[2021-05-15 9:50:08 PM] Rangers lines errors : Normal line # 1 LW is empty. PP line 1 LW is empty. PK3 line 1 forward is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. Penalty Shot Player #3 is empty. OT Forward #3 is empty.
[2021-05-15 9:50:08 PM] Auto Roster Partial Function has been run for Rangers.
[2021-05-15 9:50:08 PM] Rangers roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-05-13 5:25:14 PM] Both Rangers and Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2021-05-13 5:25:14 PM] Game 1150 - Gabriel Landeskog from Rangers is injured (Sprained Left Knee) and is out for 1 week.



Mark Stone est dehors pour 4 jours à cause de Bruised Right Arm Injury.
Chad Ruhwedel est dehors pour 1 semaine à cause de Torso Injury.




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LigueDomicileVisiteur
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