Connexion

Rangers
GP: 82 | W: 35 | L: 37 | OTL: 10 | P: 80
GF: 276 | GA: 308 | PP%: 17.76% | PK%: 81.73%
DG: Libre | Morale : 23 | Moyenne d’équipe : 68
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Centre de jeu
Rangers
35-37-10, 80pts
4
FINAL
0 Kings
46-29-7, 99pts
Team Stats
L1StreakW2
19-18-4Home Record22-15-4
16-19-6Away Record24-14-3
6-2-2Last 10 Games5-3-2
3.37Buts par match 3.39
3.76Buts contre par match 3.20
17.76%Pourcentage en avantage numérique15.22%
81.73%Pourcentage en désavantage numérique72.08%
Canadiens
39-35-8, 86pts
7
FINAL
3 Rangers
35-37-10, 80pts
Team Stats
W2StreakL1
22-15-4Home Record19-18-4
17-20-4Away Record16-19-6
5-2-3Last 10 Games6-2-2
2.96Buts par match 3.37
3.12Buts contre par match 3.76
22.00%Pourcentage en avantage numérique17.76%
82.92%Pourcentage en désavantage numérique81.73%
Meneurs d'équipe
Buts
Jiri Sekac
43
Passes
Sean Kuraly
64
Points
Tyler Bertuzzi
98
Plus/Moins
Gustav Forsling
9
Victoires
Dustin Tokarski
28
Pourcentage d’arrêts
Dustin Tokarski
0.886

Statistiques d’équipe
Buts pour
276
3.37 GFG
Tirs pour
2590
31.59 Avg
Pourcentage en avantage numérique
17.8%
46 GF
Début de zone offensive
37.5%
Buts contre
308
3.76 GAA
Tirs contre
2592
31.61 Avg
Pourcentage en désavantage numérique
81.7%
57 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralLibre
EntraîneurPaul Maurice
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,826
Billets de saison1,800


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 60
Espoirs25


Historique d'équipe

Saison actuelle35-37-10 (80PTS)
Historique137-147-54 (0.405%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10-9
Coupe Stanley0


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
1Jiri Sekac (R)X100.0099704074734356995799926661848139527602912,500,000$
2Tyler Bertuzzi (R)X100.0073506875727786905987847567697162557502721,250,000$
3Sean Kuraly (R)X100.008636856483828573857975816377714847720292800,000$
4Lawson Crouse (R)X100.009968666986668874587271846868698343710242800,000$
5Blake Lizotte (R)X100.005734886968698475778065796467654147690242925,000$
6Janne Kuokkanen (R)X100.005435917377858773697467647167707347680233800,000$
7Paul Carey (R)X100.005639956374767466687472706385834533670331575,000$
8Joel L'Esperance (R)X100.006642646978555975707371755458573929660261722,500$
9Dryden Hunt (R)X100.009136826373818465626764696572674147660261715,000$
10Noah Gregor (R)X100.008235936773858166716165696766615946650232768,333$
11Valentin Zykov (R)X100.006446826378707564536361686472687235630262575,000$
12Mark McNeill (R)X100.006746666078546779866660636175673345630291575,000$
13Alexander Romanov (R)X100.008936907377878571306862735563677640710223894,167$
14Gustav Forsling (R)X100.005033936973748873307270865375645235700252600,000$
15Anthony Bitetto (R)X100.0088458063777878683073528046827138437003131,250,000$
16Kurtis MacDermid (R)X100.008365716391777365306657785075704146690283900,000$
17Chad Ruhwedel (R)X100.007235886072766765306871744881723535670312575,000$
18Joakim Ryan (R)X100.006338896472857172307364704876704132670282700,000$
Rayé
1Jayce Hawryluk (R)X100.006839826473747166576461676369667519630261925,000$
2Adam Brooks (R)X100.006035956568767967726664626669656320630252759,167$
3Keegan Kolesar (R)X100.008876796784777262636661586267646520630252702,500$
4David Gustafsson (R)X100.005335916281787764766361656261636820620222817,500$
5Jakob Forsbacka Karlsson (R)X100.004928826873566466696056745754537220600252575,000$
6Nick Seeler (R)X100.006446676274678466306661755466555317650282575,000$
7Gabriel Carlsson (R)X100.006037916190767460306459665067647720640252575,000$
8Ian Mitchell (R)X100.005739876973828966306763625463627019640233925,000$
9Jérémy Davies (R)X100.005842845968787462306556615369654720610253750,000$
MOYENNE D’ÉQUIPE100.00704381667673777054706571597067563567
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
1Reto Berra100.007771828280898991908785999119468303531,500,000$
2Dustin Tokarski (R)100.007682817475938887857675818744498003231,000,000$
Rayé
1Maxime Lagacé (R)100.00778281787680828180777675814720780292750,000$
MOYENNE D’ÉQUIPE100.0077788178778786868580798586373880
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice88827178998774CAN542750,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tyler BertuzziRangers (NYR)RW82435598-51341020016534810518112.36%41169320.6579162620722462367344.51%3466827121.16311101775
2Sean KuralyRangers (NYR)C8226649021151292072437813010.70%40159019.39816243223501141183156.12%18072329101.1328010656
3Jiri SekacRangers (NYR)RW76434588-8187452401332639116816.35%42151219.91916252918911261886144.21%2857427021.16010540863
4Lawson CrouseRangers (NYR)LW78292857-49725181110193558815.03%33147218.8861016282170116953436.04%1112821010.7715023156
5Blake LizotteRangers (NYR)C82223355-20120109180221611499.95%36140517.144610221790002122150.87%14982719000.7803000212
6Janne KuokkanenRangers (NYR)C82203454140751281835811110.93%28113613.861232241014810150.50%7053314010.9502000221
7Joel L'EsperanceRangers (NYR)RW7620173706551301041945412910.31%1890511.92123319000072134.48%583614000.8200001300
8Anthony BitettoRangers (NYR)D7732629-778301361577825313.85%86183323.81325132340003268000.00%01147000.3200132003
9Paul CareyRangers (NYR)LW7782028-1695929910630487.55%23129216.7905512173000011160.61%661717000.4300001010
10Dryden HuntRangers (NYR)LW8215132851801389188283717.05%26113613.8601101411271384040.82%1471317000.4900000120
11Mark McNeillRangers (NYR)RW82101727-7300695112049628.33%176578.0101102000001023.08%13167000.8200000012
12Gustav ForslingRangers (NYR)D493192297524947019344.29%62107521.9601131030111116000.00%02546000.4101010001
13Alexander RomanovRangers (NYR)D8071421-132151381467535459.33%105194324.29549132501126295100.00%03868000.2200001012
14Chad RuhwedelRangers (NYR)D8221820-8100781226321303.17%75146617.89123475000098000.00%01846000.2700000000
15Noah GregorRangers (NYR)C8214620-4005963100275214.00%166117.46000000000152042.72%213910000.6500000012
16Valentin ZykovRangers (NYR)LW8241317-28058608224374.88%237338.950001201111040033.33%181115000.4600000000
17Joakim RyanRangers (NYR)D8211617-995641105232281.92%78125315.28022016000034010.00%01629000.2700010000
18Kurtis MacDermidRangers (NYR)D8211314-3128301311226729361.49%101172521.0510141700112171000.00%02545000.1600114001
19Ian MitchellRangers (NYR)D33145-700143115676.67%2649715.0600001000022000.00%0213000.2000000000
20Keegan KolesarRangers (NYR)RW15112010015618795.56%11208.0100002000000016.67%621000.3300000000
21Jayce HawrylukRangers (NYR)RW1000000001000.00%088.220000000000000.00%000000.0000000000
22Nick SeelerRangers (NYR)D7000140637100.00%511015.820000000003000.00%013000.0000000000
23Adam BrooksRangers (NYR)C5000-300553030.00%18817.650000700000000.00%103000.0000000000
Statistiques d’équipe totales ou en moyenne1476273456729-98842170209121872590835141510.54%8832427116.444679125192213161016482013321450.68%5274493518260.6064081313303234
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
1Dustin TokarskiRangers (NYR)61282340.8863.473302231911677705110.850205824712
2Reto BerraRangers (NYR)3671460.8843.79168000106912392020.550202458111
Statistiques d’équipe totales ou en moyenne973537100.8853.5849822329725891097130.700408282823


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BrooksRangers (NYR)C251996-05-04 13:13:36Yes181 Lbs5 ft10NoNoNo2Pro & Farm759,167$3,975$0$0$No759,167$
Alexander RomanovRangers (NYR)D222000-01-06 09:15:55Yes207 Lbs6 ft0NoNoNo3Pro & Farm894,167$4,682$0$0$No894,167$894,167$
Anthony BitettoRangers (NYR)D311990-07-15 17:11:13Yes210 Lbs6 ft1NoNoNo3Pro & Farm1,250,000$6,545$0$0$No1,250,000$1,250,000$
Blake LizotteRangers (NYR)C241997-12-13 03:51:38Yes172 Lbs5 ft7NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Chad RuhwedelRangers (NYR)D311990-05-07 17:11:13Yes191 Lbs5 ft11NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
David GustafssonRangers (NYR)C222000-04-11 13:15:42Yes196 Lbs6 ft2NoNoNo2Pro & Farm817,500$4,280$0$0$No817,500$
Dryden HuntRangers (NYR)LW261995-11-24 04:22:26Yes191 Lbs6 ft0NoNoNo1Pro & Farm715,000$3,743$0$0$No
Dustin TokarskiRangers (NYR)G321989-09-16 11:11:14Yes198 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Gabriel CarlssonRangers (NYR)D251997-01-02 10:15:54Yes192 Lbs6 ft5NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Gustav ForslingRangers (NYR)D251996-06-12 09:11:36Yes187 Lbs6 ft0NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Ian MitchellRangers (NYR)D231999-01-18 09:13:42Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Jakob Forsbacka KarlssonRangers (NYR)C251996-10-31 10:19:50Yes184 Lbs6 ft1NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Janne KuokkanenRangers (NYR)C231998-05-25 04:20:12Yes193 Lbs6 ft1NoNoNo3Pro & Farm800,000$4,188$0$0$No800,000$800,000$
Jayce HawrylukRangers (NYR)RW261996-01-01 11:58:42Yes196 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,843$0$0$No
Jiri SekacRangers (NYR)RW291992-06-10 05:11:13Yes180 Lbs6 ft2NoNoNo1Pro & Farm2,500,000$13,089$0$0$No
Joakim RyanRangers (NYR)D281993-06-17 04:16:45Yes185 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Joel L'EsperanceRangers (NYR)RW261995-08-18 08:24:08Yes210 Lbs6 ft2NoNoNo1Pro & Farm722,500$3,783$0$0$No
Jérémy DaviesRangers (NYR)D251996-12-04 12:57:55Yes181 Lbs5 ft11NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Keegan KolesarRangers (NYR)RW251997-04-08 13:17:43Yes227 Lbs6 ft2NoNoNo2Pro & Farm702,500$3,678$0$0$No702,500$
Kurtis MacDermidRangers (NYR)D281994-03-25 06:13:18Yes233 Lbs6 ft5NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Lawson CrouseRangers (NYR)LW241997-06-23 10:23:02Yes220 Lbs6 ft4NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Mark McNeillRangers (NYR)RW291993-02-22 11:11:13Yes217 Lbs6 ft2NoNoNo1Pro & Farm575,000$3,010$0$0$No
Maxime LagacéRangers (NYR)G291993-01-12 14:05:29Yes190 Lbs6 ft2NoNoNo2Pro & Farm750,000$3,927$0$0$No750,000$
Nick SeelerRangers (NYR)D281993-06-03 06:09:39Yes198 Lbs6 ft2NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Noah GregorRangers (NYR)C231998-07-28 13:20:10Yes185 Lbs6 ft0NoNoNo2Pro & Farm768,333$4,023$0$0$No768,333$
Paul CareyRangers (NYR)LW331988-09-24 03:19:13Yes200 Lbs6 ft1NoNoNo1Pro & Farm575,000$3,010$0$0$No
Reto BerraRangers (NYR)G351987-01-03 23:11:14No218 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Sean KuralyRangers (NYR)C291993-01-20 13:23:25Yes213 Lbs6 ft2NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Tyler BertuzziRangers (NYR)RW271995-02-24 10:26:33Yes190 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Valentin ZykovRangers (NYR)LW261995-05-15 09:22:24Yes220 Lbs6 ft0NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.80198 Lbs6 ft12.07859,306$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lawson CrouseSean KuralyJiri Sekac35122
2Paul CareyBlake LizotteTyler Bertuzzi35122
3Dryden HuntJanne KuokkanenJoel L'Esperance25122
4Valentin ZykovNoah GregorMark McNeill5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAnthony Bitetto35122
2Gustav ForslingKurtis MacDermid35122
3Chad RuhwedelJoakim Ryan30122
4Alexander RomanovAnthony Bitetto0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lawson CrouseSean KuralyJiri Sekac60122
2Paul CareyBlake LizotteTyler Bertuzzi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAnthony Bitetto60122
2Gustav ForslingKurtis MacDermid40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jiri SekacTyler Bertuzzi60122
2Sean KuralyLawson Crouse40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAnthony Bitetto60122
2Gustav ForslingKurtis MacDermid40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jiri Sekac60122Alexander RomanovAnthony Bitetto60122
2Tyler Bertuzzi40122Gustav ForslingKurtis MacDermid40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jiri SekacTyler Bertuzzi60122
2Sean KuralyLawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAnthony Bitetto60122
2Gustav ForslingKurtis MacDermid40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseSean KuralyJiri SekacAlexander RomanovAnthony Bitetto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseSean KuralyJiri SekacAlexander RomanovAnthony Bitetto
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Janne Kuokkanen, Joel L'Esperance, Dryden HuntJanne Kuokkanen, Joel L'EsperanceDryden Hunt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chad Ruhwedel, Joakim Ryan, Gustav ForslingChad RuhwedelJoakim Ryan, Gustav Forsling
Tirs de pénalité
Jiri Sekac, Tyler Bertuzzi, Sean Kuraly, Lawson Crouse, Blake Lizotte
Gardien
#1 : Dustin Tokarski, #2 : Reto Berra
Lignes d’attaque personnalisées en prolongation
Jiri Sekac, Tyler Bertuzzi, Sean Kuraly, Lawson Crouse, Blake Lizotte, Janne Kuokkanen, Janne Kuokkanen, Paul Carey, Joel L'Esperance, Dryden Hunt, Noah Gregor
Lignes de défense personnalisées en prolongation
Alexander Romanov, Anthony Bitetto, Gustav Forsling, Kurtis MacDermid, Chad Ruhwedel


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
TotalDomicileVisiteur
# 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
1Avalanche21000001541110000003121000000123-130.7505914007693961473850863837795718942400.00%2150.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
2Blackhawks20200000411-71010000016-51010000035-200.00047110076939614658508638377966301046200.00%50100.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
3Blues211000009811010000024-21100000074320.5009152400769396147185086383779552110495240.00%5180.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
4Bruins413000001116-521100000911-22020000025-320.2501118290076939614132850863837791283742937114.29%21480.95%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
5Canadiens421001001214-22110000079-22100010055050.62512183000769396141298508638377914155521101417.14%15473.33%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
6Canucks21100000752110000006241010000013-220.5007121910769396146785086383779642810426233.33%50100.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
7Capitals62201010181263010101087132100000105580.6671827450176939614185850863837791926010015927414.81%25388.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
8Devils605000011832-14303000001119-830200001713-610.0831833510076939614194850863837791806810515828517.86%35780.00%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
9Ducks210000017701000000134-11100000043130.750711180076939614728508638377964262543133.33%10100.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
10Flames21000100871110000006421000010023-130.750812200076939614698508638377954308395120.00%40100.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
11Flyers6320000127261312000001216-4320000011510570.5832746730076939614186850863837791945982156251144.00%36586.11%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
12Islanders715010002028-8311010001073404000001021-1140.286203454107693961420685086383779195668418729517.24%32778.13%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
13Kings211000005321010000013-21100000040420.5005101511769396147085086383779592839555240.00%7185.71%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
14Maple Leafs504000011125-1430300000616-102010000159-410.10011182900769396141458508638377916354661292114.76%23578.26%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
15Oilers210010001073100010004311100000064241.0001017270076939614578508638377969181250200.00%6183.33%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
16Penguins623000011723-6311000011010031200000713-650.417172845007693961418285086383779212818015523313.04%35780.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
17Predators2010100056-1100010003211010000024-220.5005813007693961457850863837796416845200.00%4175.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
18Red Wings4210100014131210010007522110000078-160.75014243800769396141298508638377913241241019111.11%7185.71%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
19Sabres41101010181442010001066021001000128460.750182947007693961413685086383779121352411214214.29%12375.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
20Senateurs6220200024186301020001313032100000115680.667243963017693961418885086383779189564715519315.79%17382.35%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
21Sharks21100000981110000005141010000047-320.5009142300769396146485086383779671510543133.33%5180.00%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
22Stars20100001913-41000000145-11010000058-310.250914230076939614538508638377974211256200.00%6266.67%01001195451.23%1004199750.28%668126652.76%1759100317877671441713
23Wild200000118801000000134-11000001054130.75081321007693961460850863837795220844400.00%40100.00%11001195451.23%1004199750.28%668126652.76%1759100317877671441713
Total82243708238276308-3241101807024140158-1841141901214136150-14800.4882764567323376939614259085086383779259288384420912594617.76%3125781.73%61001195451.23%1004199750.28%668126652.76%1759100317877671441713
_Since Last GM Reset82243708238276308-3241101807024140158-1841141901214136150-14800.4882764567323376939614259085086383779259288384420912594617.76%3125781.73%61001195451.23%1004199750.28%668126652.76%1759100317877671441713
_Vs Conference58162906124190221-31296150502199119-202910140110391102-11530.4571903145041276939614181285086383779184761270615152163717.13%2584981.01%51001195451.23%1004199750.28%668126652.76%1759100317877671441713
_Vs Division3181702013100121-211538020115159-81659000024962-13250.4031001682681176939614953850863837799733344518151322821.21%1632982.21%31001195451.23%1004199750.28%668126652.76%1759100317877671441713

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8280L127645673225902592883844209133
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224378238276308
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110187024140158
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114191214136150
Derniers 10 matchs
WLOTWOTL SOWSOL
620002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2594617.76%3125781.73%6
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
8508638377976939614
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
1001195451.23%1004199750.28%668126652.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1759100317877671441713


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2021-10-153Islanders2Rangers3BWXR5Sommaire du match
3 - 2021-10-1712Rangers3Devils5ALSommaire du match
6 - 2021-10-2024Rangers4Islanders5ALR5Sommaire du match
8 - 2021-10-2234Rangers2Senateurs4ALR2Sommaire du match
10 - 2021-10-2446Capitals2Rangers3BWXXR5Sommaire du match
13 - 2021-10-2762Rangers7Flyers3AWSommaire du match
15 - 2021-10-2970Flyers6Rangers2BLR5Sommaire du match
17 - 2021-10-3183Rangers1Capitals2ALR5Sommaire du match
19 - 2021-11-0293Penguins2Rangers1BLR5Sommaire du match
22 - 2021-11-05106Rangers2Islanders6ALSommaire du match
23 - 2021-11-06115Rangers4Penguins2AWR5Sommaire du match
25 - 2021-11-08120Devils6Rangers5BLSommaire du match
29 - 2021-11-12141Senateurs2Rangers3BWXR2Sommaire du match
33 - 2021-11-16160Maple Leafs7Rangers2BLR2Sommaire du match
35 - 2021-11-18171Rangers5Sabres4AWXSommaire du match
38 - 2021-11-21183Devils6Rangers4BLR5Sommaire du match
41 - 2021-11-24199Bruins4Rangers5BWR2Sommaire du match
42 - 2021-11-25207Rangers4Ducks3AWSommaire du match
45 - 2021-11-28221Rangers5Stars8ALSommaire du match
47 - 2021-11-30230Devils7Rangers2BLR5Sommaire du match
49 - 2021-12-02242Rangers5Wild4AWXXSommaire du match
52 - 2021-12-05253Sharks1Rangers5BWSommaire du match
54 - 2021-12-07268Rangers7Blues4AWSommaire du match
55 - 2021-12-08276Rangers6Oilers4AWSommaire du match
57 - 2021-12-10285Flames4Rangers6BWSommaire du match
60 - 2021-12-13303Capitals1Rangers2BWXR5Sommaire du match
64 - 2021-12-17320Bruins7Rangers4BLSommaire du match
66 - 2021-12-19331Rangers1Bruins2ALR2Sommaire du match
69 - 2021-12-22345Rangers2Islanders7ALSommaire du match
70 - 2021-12-23351Maple Leafs5Rangers2BLR2Sommaire du match
73 - 2021-12-26367Rangers4Sharks7ALSommaire du match
75 - 2021-12-28375Blackhawks6Rangers1BLSommaire du match
77 - 2021-12-30388Rangers1Maple Leafs2ALXXR2Sommaire du match
79 - 2022-01-01399Kings3Rangers1BLSommaire du match
81 - 2022-01-03412Rangers4Maple Leafs7ALR2Sommaire du match
83 - 2022-01-05420Islanders2Rangers6BWSommaire du match
85 - 2022-01-07428Rangers2Predators4ALSommaire du match
87 - 2022-01-09437Rangers0Penguins4ALR5Sommaire du match
89 - 2022-01-11449Rangers7Sabres4AWSommaire du match
90 - 2022-01-12455Predators2Rangers3BWXSommaire du match
93 - 2022-01-15475Senateurs5Rangers3BLR2Sommaire du match
95 - 2022-01-17484Rangers2Islanders3ALSommaire du match
98 - 2022-01-20499Wild4Rangers3BLXXSommaire du match
100 - 2022-01-22514Rangers6Senateurs0AWR2Sommaire du match
101 - 2022-01-23522Flyers6Rangers3BLSommaire du match
104 - 2022-01-26535Rangers3Penguins7ALR5Sommaire du match
106 - 2022-01-28544Rangers2Red Wings5ALR2Sommaire du match
107 - 2022-01-29551Canadiens2Rangers4BWR2Sommaire du match
109 - 2022-01-31568Islanders3Rangers1BLSommaire du match
111 - 2022-02-02577Rangers3Blackhawks5ALSommaire du match
114 - 2022-02-05593Senateurs6Rangers7BWXR2Sommaire du match
116 - 2022-02-07606Rangers2Canadiens3ALXR2Sommaire du match
118 - 2022-02-09616Rangers1Devils4ALSommaire du match
119 - 2022-02-10621Oilers3Rangers4BWXSommaire du match
122 - 2022-02-13634Rangers5Red Wings3AWR2Sommaire du match
123 - 2022-02-14643Rangers1Canucks3ALSommaire du match
125 - 2022-02-16650Ducks4Rangers3BLXXSommaire du match
128 - 2022-02-19669Rangers2Flames3ALXSommaire du match
129 - 2022-02-20674Canucks2Rangers6BWSommaire du match
132 - 2022-02-23691Rangers2Avalanche3ALXXSommaire du match
133 - 2022-02-24696Red Wings1Rangers2BWR2Sommaire du match
136 - 2022-02-27715Penguins5Rangers4BLXXSommaire du match
137 - 2022-02-28720Rangers4Flyers2AWR5Sommaire du match
140 - 2022-03-03740Flyers4Rangers7BWSommaire du match
143 - 2022-03-06755Rangers3Senateurs1AWR2Sommaire du match
144 - 2022-03-07764Red Wings4Rangers5BWXR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-12787Maple Leafs4Rangers2BLSommaire du match
153 - 2022-03-16805Rangers1Bruins3ALR2Sommaire du match
154 - 2022-03-17812Capitals4Rangers3BLR5Sommaire du match
156 - 2022-03-19826Rangers3Canadiens2AWR2Sommaire du match
158 - 2022-03-21836Stars5Rangers4BLXXSommaire du match
162 - 2022-03-25856Blues4Rangers2BLSommaire du match
165 - 2022-03-28871Sabres2Rangers3BWXXR2Sommaire du match
169 - 2022-04-01891Avalanche1Rangers3BWSommaire du match
171 - 2022-04-03902Rangers4Flyers5ALXXR5Sommaire du match
172 - 2022-04-04909Rangers3Devils4ALXXSommaire du match
174 - 2022-04-06919Sabres4Rangers3BLR2Sommaire du match
176 - 2022-04-08927Rangers5Capitals3AWR5Sommaire du match
179 - 2022-04-11943Rangers4Capitals0AWSommaire du match
181 - 2022-04-13951Penguins3Rangers5BWR5Sommaire du match
182 - 2022-04-14954Rangers4Kings0AWSommaire du match
189 - 2022-04-21978Canadiens7Rangers3BLR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance77,72938,139
Assistance PCT94.79%93.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2826 - 94.20% 120,973$4,959,884$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,256,930$ 2,577,917$ 1,592,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,497$ 2,510,829$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 17,424$ 17,424$




Rangers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tyler Bertuzzi246117162279-2132054247198311.90%113499520.3124335711257121715843.74%41.12631
2Jiri Sekac228127135262-355671134278116.26%108438819.25254368892461617342.49%41.19128
3Sean Kuraly2466716923605240361760411.09%126463718.8520436393224137656.03%01.02517
4Lawson Crouse2377488162025251532850814.57%98423317.8614264074022129938.49%20.77212
5Blake Lizotte22954101155-37322834745719.46%89380616.62820285500045451.22%00.8107

Rangers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Tokarski122564680.8863.4766044638233541410220.85040
2Reto Berra1072742150.8863.7052890032628701259140.59249
3Pheonix Copley542119120.8873.463053011761561685320.68419

Rangers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
1282264003247286321-3541152100203150166-1641111903044136155-1952286468754208497981228628959859526329961075137322093116019.29%3747480.21%61154223851.56%1067219648.59%662134149.37%173096117917801460724
1582273305827281299-1841141804212145147-241131501615136152-1683281472753218493978265288889884353260988178621492625119.47%2995780.94%71027199251.56%975194150.23%636124251.21%1825110517947181367680
1682243708238276308-3241101807024140158-1841141901214136150-14802764567323376939614259085086383779259288384420912594617.76%3125781.73%61001195451.23%1004199750.28%668126652.76%1759100317877671441713
1682243708238276308-3241101807024140158-1841141901214136150-14802764567323376939614259085086383779259288384420912594617.76%3125781.73%61001195451.23%1004199750.28%668126652.76%1759100317877671441713
Total Saison régulière32810114702414123011191236-11716449750184513575629-5416452720610717544607-63295111918522971107320376387481069434833609346927410789372238478540109120318.61%129724581.11%254183813851.40%4050813149.81%2634511551.50%707540747160303357102832
Séries éliminatoires
15191090000073658954000003124710550000042411207312419700182627262320920119815624215211507711723.94%781482.05%125548652.47%27550854.13%16230253.64%421243422177334167
Total Séries éliminatoires191090000073658954000003124710550000042411207312419700182627262320920119815624215211507711723.94%781482.05%125548652.47%27550854.13%16230253.64%421243422177334167

Rangers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Nick Ritchie1915173251842317918.99%936018.9648121200032145.71%11.7800
2Tyler Bertuzzi1912172951233326717.91%1139120.5966122001111140.63%01.4800
3Sean Kuraly194151941136322218.18%534918.37178300021059.47%01.0900
4Jiri Sekac19991803758257412.16%835318.63112210110136.36%01.0200
5Paul Carey19411151929473611.11%729315.44000200000150.76%01.0200

Rangers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley178430.8943.309460052491197000.0000
2Reto Berra62200.9023.38231001313361100.0000