Rangers

DG: Jeff Dumais Morale : 51 Moyenne d'Équipe : 64
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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
1Sidney Crosby (C)X98.00574382906881948485868264687469040760
2Daniel Sedin (A)X98.00513585826076957638787463508271068710
3Troy BrouwerX100.00745678727475956890657168556962058690
4Alex KillornXX100.00603582746973946757676764564943061660
5Leo KomarovXX100.00893582757273776575616870484537060660
6Nikolai KuleminXX100.00624388687870955935556378455848072650
7Matt ReadXX100.00545087755773946240606473535142056640
8Michael RafflXX100.00634385746968946072566468564737071630
9Joffrey LupulXX100.00573586707371686138546858526859071620
10Marcel GocX100.00604388686860845187495371446657068600
11Dennis Rasmussen (R)XX100.00593592677250424980465270483532044550
12Marc-Andre ClicheXX100.00483587676952624282414272474037058530
13Michael StoneX100.00763577716979905835635377484641061670
14Kyle QuinceyX100.00734375647176715135515180486457059660
15Adam McQuaidX100.00816565617072794535474377485752065640
16Radko GudasX100.00895063686772804935484976484339070640
17Mark FayneX100.00644388627071884535454579485345072630
18Victor BartleyX100.00644380617057374735504367484439075560
Rayé
1Derek RyanX100.00463586785054354059354461453532038490
2Dan Boyle (A)X98.01553585786276905935586068508779061680
MOYENNE D'ÉQUIPE99.7064428271686978575456587050564906163
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
1Ben Bishop100.0093949684938992928575705248055820
2Darcy Kuemper100.0058458381596658597465704239019610
Rayé
MOYENNE D'ÉQUIPE100.007670908376787576807070474403772
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards89496783886974USA502500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Sidney CrosbyRangersC6823456803315471702240010.27%6139320.49419236128300031226151.79%170100000.9836012751
2Daniel SedinRangersLW812635617160231071960013.27%10152218.80616225531500001747234.94%24900000.8014000523
3Michael StoneRangersD8214324641540173861040013.46%144187922.937714603410001297310.00%000000.4900000502
4Kyle QuinceyRangersD7773340-37551045991007.69%125167521.766612572910001352110.00%000000.4800001032
5Matt ReadRangersLW/RW80162440-828057106188008.51%6130116.27310134718600062480128.83%11100000.6124000313
6Alex KillornRangersLW/RW8013263962807479151008.61%7127415.9346102921400031363136.96%9200000.6102000274
7Dan BoyleRangersD80132639920028701050012.38%112195024.389615683340000381120.00%000000.4011000044
8Leo KomarovRangersLW/RW7614233712114023176189007.41%7120815.90110114323400081254147.37%13300000.6100000412
9Nikolai KuleminRangersC/LW821918379455681051410013.48%24142817.4228103726100032703231.61%125900000.5211001424
10Troy BrouwerRangersRW80181937114735202951600011.25%12152219.0376134632900041293354.50%21100000.4904114315
11Joffrey LupulRangersLW/RW79101727-12805142920010.87%5102312.96224171030110371033.33%8400100.5302000012
12Michael RafflRangersC/LW8291726-73004988119007.56%1491311.1512312520002571151.50%53400000.5701000121
13Adam McQuaidRangersD82317206212302135548006.25%89162919.87022232421013317100.00%000000.2500303101
14Radko GudasRangersD8231316-16189352053942007.14%58128215.650116550001121010.00%000000.2500025101
15Mark FayneRangersD823811-7155276042007.14%94136816.6900011760000206200.00%000100.1600001011
16Marcel GocRangersC817310-10502056103680010.29%76898.510000000021171054.53%70600000.2900012010
17Dennis RasmussenRangersC/LW72336-8200413836008.33%25758.000003190000700045.31%12800000.2100000000
18Marc-Andre ClicheRangersC/RW72224-11255182226007.69%106128.51000030000750044.90%4900000.1300010010
19Victor BartleyRangersD70337100432000.00%310615.2500001000012000.00%000000.5600000010
20Derek RyanRangersC35101-29531111009.09%52898.2610128000020033.33%10200000.0700001000
Stats d'équipe Total ou en Moyenne1460204364568-1212481601674141420350010.02%7402364916.20531011545773358112373257371745.01%535900200.488254620363336
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
1Ben BishopRangers73372650.9122.4841184717019290000.818226612953
2Darcy KuemperRangers1941000.8564.0378901533680100.00001657031
Stats d'équipe Total ou en Moyenne92413650.9032.7349074822322970100.818228269984


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam McQuaidRangersD281986-10-12No212 Lbs6 ft4NoNo2Avec RestrictionPro & Farm980,000$1,250,000$Lien
Alex KillornRangersLW/RW261989-09-14No198 Lbs6 ft2NoNo1Avec RestrictionPro & Farm875,000$Lien
Ben BishopRangersG281986-11-21No216 Lbs6 ft7YesNo6Avec RestrictionPro & Farm5,800,000$5,800,000$5,800,000$5,800,000$5,800,000$5,800,000$Lien
Dan Boyle (Contrat à 1 Volet)RangersD391976-07-12No194 Lbs5 ft11YesNo2Sans RestrictionPro & Farm8,000,000$8,000,000$Lien
Daniel SedinRangersLW351980-09-26No187 Lbs6 ft1NoNo1Sans RestrictionPro & Farm8,000,000$Lien
Darcy KuemperRangersG251990-05-05No212 Lbs6 ft5NoNo1Avec RestrictionPro & Farm740,000$Lien
Dennis RasmussenRangersC/LW251990-07-03Yes205 Lbs6 ft3NoNo4Avec RestrictionPro & Farm575,000$575,000$575,000$575,000$Lien
Derek RyanRangersC281986-12-29No170 Lbs5 ft11NoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$Lien
Joffrey LupulRangersLW/RW321983-09-23No211 Lbs6 ft1NoNo2Sans RestrictionPro & Farm4,000,000$4,000,000$Lien
Kyle QuinceyRangersD301985-08-12No216 Lbs6 ft2YesNo6Sans RestrictionPro & Farm3,000,000$3,000,000$3,100,000$3,200,000$3,000,000$3,000,000$Lien
Leo KomarovRangersLW/RW281987-01-23No211 Lbs5 ft11NoNo1Avec RestrictionPro & Farm850,000$Lien
Marc-Andre ClicheRangersC/RW281987-03-23No202 Lbs6 ft0NoNo2Avec RestrictionPro & Farm600,000$600,000$Lien
Marcel GocRangersC321983-08-24No197 Lbs6 ft1NoNo1Sans RestrictionPro & Farm900,000$Lien
Mark FayneRangersD281987-05-15No212 Lbs6 ft3NoNo4Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$2,000,000$Lien
Matt ReadRangersLW/RW291986-06-14No185 Lbs5 ft10NoNo1Avec RestrictionPro & Farm4,800,000$Lien
Michael RafflRangersC/LW261988-12-01No200 Lbs6 ft0NoNo2Avec RestrictionPro & Farm792,000$792,000$Lien
Michael StoneRangersD251990-06-07No210 Lbs6 ft3YesNo6Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Nikolai KuleminRangersC/LW291986-07-14No225 Lbs6 ft1NoNo6Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Radko GudasRangersD251990-06-05No204 Lbs6 ft0NoNo1Avec RestrictionPro & Farm625,000$Lien
Sidney CrosbyRangersC281987-08-07No200 Lbs5 ft11NoNo2Avec RestrictionPro & Farm8,000,000$8,000,000$Lien
Troy BrouwerRangersRW301985-08-17No213 Lbs6 ft3NoNo4Sans RestrictionPro & Farm3,000,000$3,100,000$3,250,000$3,250,000$Lien
Victor BartleyRangersD271988-02-17No215 Lbs6 ft0NoNo1Avec RestrictionPro & Farm537,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2228.68204 Lbs6 ft12.682,667,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
58,674,000$41,717,000$19,325,000$18,825,000$12,800,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel SedinSidney CrosbyTroy Brouwer40122
2Leo KomarovNikolai KuleminAlex Killorn30122
3Matt ReadMichael RafflJoffrey Lupul20122
4Dennis RasmussenMarcel GocMarc-Andre Cliche10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneKyle Quincey40122
2Adam McQuaidRadko Gudas30122
3Mark FayneVictor Bartley20122
4Michael StoneKyle Quincey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel SedinSidney CrosbyTroy Brouwer60122
2Leo KomarovNikolai KuleminAlex Killorn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneKyle Quincey60122
2Adam McQuaidRadko Gudas40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sidney CrosbyDaniel Sedin60122
2Troy BrouwerLeo Komarov40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneKyle Quincey60122
2Adam McQuaidRadko Gudas40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sidney Crosby60122Michael StoneKyle Quincey60122
2Daniel Sedin40122Adam McQuaidRadko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sidney CrosbyDaniel Sedin60122
2Troy BrouwerLeo Komarov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael StoneKyle Quincey60122
2Adam McQuaidRadko Gudas40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel SedinSidney CrosbyTroy BrouwerMichael StoneKyle Quincey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel SedinSidney CrosbyTroy BrouwerMichael StoneKyle Quincey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Read, Michael Raffl, Joffrey LupulMatt Read, Michael RafflJoffrey Lupul
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mark Fayne, Victor Bartley, Adam McQuaidMark FayneVictor Bartley, Adam McQuaid
Tirs de Pénalité
Sidney Crosby, Daniel Sedin, Troy Brouwer, Leo Komarov, Alex Killorn
Gardien
#1 : Ben Bishop, #2 : Darcy Kuemper


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
Anaheim21100000541110000003031010000024-220.500581301401041101417063173234900.00%15380.00%01170253746.12%1381290847.49%559121146.16%442847162713
Atlanta53200000911-2220000004223120000059-460.600916250222501355143410130408310226311.54%25388.00%01170253746.12%1381290847.49%559121146.16%11477119396531
Boston31200000813-51100000053220200000310-720.333815230033207828262409932455618422.22%20575.00%01170253746.12%1381290847.49%559121146.16%644176243918
Buffalo320000101165100000103212200000084461.000112031004151842336253952843711317.69%18383.33%01170253746.12%1381290847.49%559121146.16%674580233718
Calgary21100000761110000006421010000012-120.50071219003310541817190501418491417.14%9366.67%11170253746.12%1381290847.49%559121146.16%493142152714
Philadelphie42200000911-22110000056-12110000045-140.500917260143208730342301033657652015.00%25484.00%01170253746.12%1381290847.49%559121146.16%8758100325124
Chicago2020000058-31010000034-11010000024-200.00059140030204328510070234038700.00%15473.33%01170253746.12%1381290847.49%559121146.16%402655152310
Colorado21100000541110000004221010000012-120.500510150011304111111907022423910220.00%110100.00%01170253746.12%1381290847.49%559121146.16%422653162412
Kansas City2020000006-61010000003-31010000003-300.00000000000021759069204139700.00%13376.92%01170253746.12%1381290847.49%559121146.16%392454162511
Detroit30201000611-51010000025-32010100046-220.3336111700221154171519311236517012216.67%23482.61%01170253746.12%1381290847.49%559121146.16%654178223818
Edmonton21100000810-21010000036-31100000054120.50081321003320582317180652936299111.11%18572.22%01170253746.12%1381290847.49%559121146.16%402655132311
Islanders43100000141222200000052321100000910-160.75014253900662090302634012651608518316.67%30293.33%01170253746.12%1381290847.49%559121146.16%8656105314822
LA Kings2010100045-1100010003211010000013-220.50047110021015727151325020183710330.00%80100.00%01170253746.12%1381290847.49%559121146.16%483247142512
Minnesota21100000651110000004221010000023-120.500611170015004920151403412205017211.76%10370.00%01170253746.12%1381290847.49%559121146.16%533739162613
Hartford40400000916-72020000046-220200000510-500.0009172600531097333232011532578417529.41%24675.00%01170253746.12%1381290847.49%559121146.16%916097295025
Ottawa31200000712-52110000069-31010000013-220.333711180014207025271809522465014321.43%23673.91%01170253746.12%1381290847.49%559121146.16%684573243818
Pittsburgh5320000013112321000009722110000044060.60013243701355013448384801274048812627.69%24195.83%01170253746.12%1381290847.49%559121146.16%11575122396231
San Jose210000014311000000123-11100000020230.750461001211064192025451132438600.00%70100.00%01170253746.12%1381290847.49%559121146.16%493347162814
St-Louis21001000853110000003121000100054141.00081523002321622916152502319468112.50%70100.00%01170253746.12%1381290847.49%559121146.16%432854152511
Tampa Bay30100011710-32010001057-21000000123-130.500710170041117325232197724384914214.29%19478.95%01170253746.12%1381290847.49%559121146.16%724879233818
Toronto32000010734100000102112200000052361.00079160022227123232176017498419315.79%18288.89%01170253746.12%1381290847.49%559121146.16%765168244019
Vancouver2020000025-31010000023-11010000002-200.0002350010103414119049165032300.00%13284.62%01170253746.12%1381290847.49%559121146.16%352157162611
Quebec31100010541211000003301000001021140.6675611001032932917477733769541616.25%25196.00%01170253746.12%1381290847.49%559121146.16%694478233718
Winnipeg211000007611010000034-11100000042220.500713200023205616211905919335014321.43%9277.78%01170253746.12%1381290847.49%559121146.16%473145162713
Nashville210001006511000010023-11100000042230.750611170020403712817068223247700.00%16193.75%01170253746.12%1381290847.49%559121146.16%412555152512
Montreal30200100613-72010010057-21010000016-510.1676121800240078244212011739656316212.50%22481.82%01170253746.12%1381290847.49%559121146.16%634079243817
Washington4310000014122220000009542110000057-260.750142539003650102363333010322609416425.00%22481.82%01170253746.12%1381290847.49%559121146.16%946292285226
Caroline4310000010822110000045-12200000063360.75010152501523098294326010133508220420.00%25196.00%01170253746.12%1381290847.49%559121146.16%916095335224
Las Vegas210001005411000010034-11100000020230.7505914012210511317210371222471200.00%110100.00%01170253746.12%1381290847.49%559121146.16%513641142614
Vs Division301713000007881-31510500000403371578000003848-10340.5677813921705282723074325724923708052544155931432215.38%1752188.00%01170253746.12%1381290847.49%559121146.16%681452734234383187
Vs Conference54242301141135153-182713100013071701271113010116483-19600.556135233368054744397134445145842429153348982110902654015.09%3435085.42%01170253746.12%1381290847.49%559121146.16%12288101349425691336
Since Last GM Reset82343603342207229-224118150133111211114116210201195118-23870.5302073605670875665992012698650649372318751124816653985313.32%5057684.95%11170253746.12%1381290847.49%559121146.16%1857122020486451056513
Total82343603342207229-224118150133111211114116210201195118-23870.5302073605670875665992012698650649372318751124816653985313.32%5057684.95%11170253746.12%1381290847.49%559121146.16%1857122020486451056513

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8287W1207360567201223187511248166508
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8234363342207229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118151331112111
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
411621201195118
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3985313.32%5057684.95%1
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
698650649377566599
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
1170253746.12%1381290847.49%559121146.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1857122020486451056513


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 - 2016-10-1311Islanders1Rangers2WSommaire du Match
4 - 2016-10-1526Rangers5St-Louis4WXSommaire du Match
6 - 2016-10-1733San Jose3Rangers2LXXSommaire du Match
8 - 2016-10-1949Detroit5Rangers2LSommaire du Match
11 - 2016-10-2268Rangers1Washington5LSommaire du Match
12 - 2016-10-2377Nashville3Rangers2LXSommaire du Match
15 - 2016-10-2694Boston3Rangers5WSommaire du Match
17 - 2016-10-28108Rangers2Caroline0WSommaire du Match
19 - 2016-10-30127Tampa Bay2Rangers3WXXSommaire du Match
21 - 2016-11-01140St-Louis1Rangers3WSommaire du Match
23 - 2016-11-03151Edmonton6Rangers3LSommaire du Match
25 - 2016-11-05162Rangers2Boston7LSommaire du Match
26 - 2016-11-06177Winnipeg4Rangers3LSommaire du Match
28 - 2016-11-08184Vancouver3Rangers2LSommaire du Match
32 - 2016-11-12215Rangers1Calgary2LSommaire du Match
33 - 2016-11-13228Rangers5Edmonton4WSommaire du Match
35 - 2016-11-15240Rangers0Vancouver2LSommaire du Match
38 - 2016-11-18257Rangers2Atlanta0WSommaire du Match
40 - 2016-11-20272Quebec2Rangers1LSommaire du Match
41 - 2016-11-21277Rangers3Pittsburgh2WSommaire du Match
43 - 2016-11-23290Pittsburgh2Rangers3WSommaire du Match
45 - 2016-11-25309Rangers1Philadelphie0WSommaire du Match
47 - 2016-11-27323Ottawa2Rangers3WSommaire du Match
49 - 2016-11-29330Caroline3Rangers1LSommaire du Match
51 - 2016-12-01346Rangers4Buffalo2WSommaire du Match
53 - 2016-12-03367Caroline2Rangers3WSommaire du Match
56 - 2016-12-06382Rangers3Islanders6LSommaire du Match
58 - 2016-12-08401Rangers4Winnipeg2WSommaire du Match
59 - 2016-12-09409Rangers2Chicago4LSommaire du Match
61 - 2016-12-11426Hartford2Rangers1LSommaire du Match
63 - 2016-12-13439Chicago4Rangers3LSommaire du Match
65 - 2016-12-15452Rangers0Kansas City3LSommaire du Match
67 - 2016-12-17468Rangers2Las Vegas0WSommaire du Match
68 - 2016-12-18472Hartford4Rangers3LSommaire du Match
70 - 2016-12-20483Rangers1Pittsburgh2LSommaire du Match
73 - 2016-12-23510Minnesota2Rangers4WSommaire du Match
77 - 2016-12-27519Ottawa7Rangers3LSommaire du Match
79 - 2016-12-29543Rangers4Nashville2WSommaire du Match
81 - 2016-12-31548Rangers1Colorado2LSommaire du Match
84 - 2017-01-03565Buffalo2Rangers3WXXSommaire du Match
85 - 2017-01-04576Rangers3Philadelphie5LSommaire du Match
88 - 2017-01-07595Rangers2Atlanta5LSommaire du Match
94 - 2017-01-13633Toronto1Rangers2WXXSommaire du Match
95 - 2017-01-14642Rangers1Montreal6LSommaire du Match
98 - 2017-01-17663Kansas City3Rangers0LSommaire du Match
100 - 2017-01-19679Rangers3Toronto1WSommaire du Match
103 - 2017-01-22703Rangers1Detroit4LSommaire du Match
104 - 2017-01-23711LA Kings2Rangers3WXSommaire du Match
106 - 2017-01-25725Philadelphie3Rangers0LSommaire du Match
112 - 2017-01-31747Atlanta0Rangers1WSommaire du Match
114 - 2017-02-02758Rangers4Buffalo2WSommaire du Match
117 - 2017-02-05786Calgary4Rangers6WSommaire du Match
119 - 2017-02-07791Anaheim0Rangers3WSommaire du Match
121 - 2017-02-09808Las Vegas4Rangers3LXSommaire du Match
123 - 2017-02-11823Colorado2Rangers4WSommaire du Match
125 - 2017-02-13834Rangers1Atlanta4LSommaire du Match
128 - 2017-02-16848Rangers6Islanders4WSommaire du Match
131 - 2017-02-19877Washington1Rangers4WSommaire du Match
133 - 2017-02-21883Montreal5Rangers4LXSommaire du Match
135 - 2017-02-23894Rangers2Toronto1WSommaire du Match
137 - 2017-02-25906Rangers2Hartford3LSommaire du Match
138 - 2017-02-26914Atlanta2Rangers3WSommaire du Match
140 - 2017-02-28927Washington4Rangers5WSommaire du Match
142 - 2017-03-02936Rangers1Boston3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04956Montreal2Rangers1LSommaire du Match
146 - 2017-03-06971Rangers2Tampa Bay3LXXSommaire du Match
147 - 2017-03-07976Rangers2Quebec1WXXSommaire du Match
149 - 2017-03-09991Rangers4Caroline3WSommaire du Match
152 - 2017-03-121011Rangers3Detroit2WXSommaire du Match
153 - 2017-03-131017Tampa Bay5Rangers2LSommaire du Match
157 - 2017-03-171049Quebec1Rangers2WSommaire du Match
158 - 2017-03-181059Rangers2Minnesota3LSommaire du Match
161 - 2017-03-211077Rangers3Hartford7LSommaire du Match
162 - 2017-03-221086Islanders1Rangers3WSommaire du Match
165 - 2017-03-251115Rangers1LA Kings3LSommaire du Match
166 - 2017-03-261121Rangers2Anaheim4LSommaire du Match
168 - 2017-03-281136Rangers2San Jose0WSommaire du Match
171 - 2017-03-311150Pittsburgh5Rangers2LSommaire du Match
173 - 2017-04-021173Philadelphie3Rangers5WSommaire du Match
176 - 2017-04-051193Rangers4Washington2WSommaire du Match
179 - 2017-04-081207Rangers1Ottawa3LSommaire du Match
180 - 2017-04-091224Pittsburgh0Rangers4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60006000250040001000
Prix des Billets135704030250
Assistance21721021389210123316159441000
Attendance PCT88.30%86.95%98.76%98.53%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17925 - 91.92% 1,547,389$63,442,930$19500100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
58,674,000$ 58,864,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
56,347,290$ 324,166$ 55,844,579$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 326,928$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 58,415,248$ 122,076,872$ 122,076,872$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Daniel SedinAGE:35PO:0OV:71
Alex KillornAGE:26PO:0OV:66
Leo KomarovAGE:28PO:0OV:66
Nikolai KuleminAGE:29PO:0OV:65
Matt ReadAGE:29PO:0OV:64
Michael RafflAGE:26PO:0OV:63
Joffrey LupulAGE:32PO:0OV:62
Colin GreeningAGE:29PO:0OV:59
*Dennis RasmussenAGE:25PO:0OV:55
Borna RendulicAGE:23PO:0OV:52
Joakim LindstromAGE:31PO:0OV:51
Hunter ShinkarukAGE:20PO:0OV:50
Sergei PlotnikovAGE:25PO:0OV:50
Sonny MilanoAGE:19PO:0OV:50
Jordan CaronAGE:24PO:0OV:49
Aaron VolpattiAGE:30PO:0OV:48
*Alexandre MalletAGE:23PO:0OV:46
*Jakub CulekAGE:23PO:0OV:44
Cody AlmondAGE:26PO:0OV:41
*Jason WilsonAGE:20PO:0OV:40
Stefan Della RovereAGE:25PO:0OV:37
Mitch CallahanAGE:24PO:0OV:37
Sidney CrosbyAGE:28PO:0OV:76
Nikolai KuleminAGE:29PO:0OV:65
Michael RafflAGE:26PO:0OV:63
Marcel GocAGE:32PO:0OV:60
*Dennis RasmussenAGE:25PO:0OV:55
*Chris WagnerAGE:24PO:0OV:54
Marc-Andre ClicheAGE:28PO:0OV:53
Derek RyanAGE:28PO:0OV:49
*Joel Eriksson EkAGE:18PO:0OV:49
*Alexandre MalletAGE:23PO:0OV:46
*Jean-Sebastien DeaAGE:21PO:0OV:45
Cody AlmondAGE:26PO:0OV:41
Adam PayerlAGE:24PO:0OV:38
Troy BrouwerAGE:30PO:0OV:69
Alex KillornAGE:26PO:0OV:66
Leo KomarovAGE:28PO:0OV:66
Matt ReadAGE:29PO:0OV:64
Joffrey LupulAGE:32PO:0OV:62
*Chris WagnerAGE:24PO:0OV:54
Marc-Andre ClicheAGE:28PO:0OV:53
Borna RendulicAGE:23PO:0OV:52
Joakim LindstromAGE:31PO:0OV:51
Hunter ShinkarukAGE:20PO:0OV:50
Sergei PlotnikovAGE:25PO:0OV:50
Jordan CaronAGE:24PO:0OV:49
Adam PayerlAGE:24PO:0OV:38
Mitch CallahanAGE:24PO:0OV:37

Défense #1Défense #2Gardien
Dan BoyleAGE:39PO:0OV:68
Michael StoneAGE:25PO:0OV:67
Kyle QuinceyAGE:30PO:0OV:66
Adam McQuaidAGE:28PO:0OV:64
Radko GudasAGE:25PO:0OV:64
Mark FayneAGE:28PO:0OV:63
Victor BartleyAGE:27PO:0OV:56
Dylan ReeseAGE:31PO:0OV:54
Derek ForbortAGE:23PO:0OV:53
Andrew BodnarchukAGE:27PO:0OV:52
Patrick CoulombeAGE:30PO:0OV:46
*Gleason FournierAGE:24PO:0OV:44
Tomas KundratekAGE:25PO:0OV:44
Kevin CzuczmanAGE:24PO:0OV:41
*Joey LaleggiaAGE:23PO:0OV:39
Mark KaticAGE:26PO:0OV:38
Ben BishopAGE:28PO:0OV:82
Darcy KuemperAGE:25PO:0OV:61
Viktor FasthAGE:33PO:0OV:54
*Jared CoreauAGE:23PO:0OV:48
*Samu PerhonenAGE:22PO:0OV:44
Riku HeleniusAGE:27PO:0OV:41
Nicola RiopelAGE:26PO:0OV:40
*Henri KiviahoAGE:21PO:0OV:39

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
Cliff PuRangers201650
Max ZimmerRangers2016183
Simon BourqueRangers2015160

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017Ran Ran Ran Ran Stl Ran
2018Ran Ran Ran Ran Ran Ran Ran
2019Ran Ran Ran Ran Ran Ran Ran
2020Ran Ran Ran Ran Ran Ran Ran
2021Ran Ran Ran Ran Ran Ran Ran



[2017-03-02 00:04:34] - Matt Read was added to Rangers.
[2017-03-02 00:04:36] - TRADE : From Montreal to Rangers : Matt Read (64), Simon Bourque (P), Y:2017-RND:4-Stl.
[2017-03-02 00:04:36] - TRADE : From Rangers to Montreal : Daniel Winnik (66).



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
Saison Régulière
201682343603342207229-224118150133111211114116210201195118-23682073605670875665992012698650649372318751124816653985313.32%5057684.95%11170253746.12%1381290847.49%559121146.16%1857122020486451056513
Total Saison Régulière82343603342207229-224118150133111211114116210201195118-23682073605670875665992012698650649372318751124816653985313.32%5057684.95%11170253746.12%1381290847.49%559121146.16%1857122020486451056513