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Rangers
GP: 10 | W: 4 | L: 6
GF: 31 | GA: 31 | PP%: 19.61% | PK%: 84.21%
DG: Libre | Morale : 14 | Moyenne d’équipe : 67
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Centre de jeu
Capitals
11-5-0, 22pts
3
FINAL
2 Rangers
4-6-0, 8pts
Team Stats
L1StreakL4
6-3-0Home Record3-2-0
5-2-0Away Record1-4-0
6-3-1Last 10 Games4-6-0
3.94Buts par match 3.10
3.19Buts contre par match 3.10
23.33%Pourcentage en avantage numérique19.61%
83.02%Pourcentage en désavantage numérique84.21%
Capitals
11-5-0, 22pts
4
FINAL
1 Rangers
4-6-0, 8pts
Team Stats
L1StreakL4
6-3-0Home Record3-2-0
5-2-0Away Record1-4-0
6-3-1Last 10 Games4-6-0
3.94Buts par match 3.10
3.19Buts contre par match 3.10
23.33%Pourcentage en avantage numérique19.61%
83.02%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Buts
Jiri Sekac
7
Passes
Joel L'Esperance
8
Points
Jiri Sekac
11
Plus/Moins
Jiri Sekac
6
Victoires
Reto Berra
4
Pourcentage d’arrêts
Dustin Tokarski
0.914

Statistiques d’équipe
Buts pour
31
3.10 GFG
Tirs pour
290
29.00 Avg
Pourcentage en avantage numérique
19.6%
10 GF
Début de zone offensive
37.9%
Buts contre
31
3.10 GAA
Tirs contre
320
32.00 Avg
Pourcentage en désavantage numérique
84.2%%
9 GA
Début de la zone défensive
40.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,991
Billets de saison1,800


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 60
Espoirs26


Historique d'équipe

Saison actuelle4-6
Historique37-34-10 (0.457%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)4-6
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)X100.0099773373723756995698976461888535307603133,000,000$
2Artturi Lehkonen (R)X100.007544957283868977567972896776776332740271800,000$
3Lawson Crouse (R)X100.008071757383678875437674822571726759710261800,000$
4Janne Kuokkanen (R)X100.007541907382688277707871622571746942690252800,000$
5Joel L'Esperance (R)X100.007449576476535977687673745462613461670273700,000$
6Paul Carey (R)X100.005235996674767464697270656388864219660343575,000$
7Dryden Hunt (R)X100.007647946983616462617468694576716455660273600,000$
8Noah Gregor (R)X100.007744937384597364707270672569647254660241768,333$
9Mark McNeill (R)X100.006847656078506781826863616179712836640301575,000$
10Adam Brooks (R)X100.007643996883575961617470617571677117640271759,167$
11Keegan Kolesar (R)X100.007746806684546661527367592570676050630261702,500$
12Anthony Bitetto (R)X100.0096527362777878703074547846877633157103221,250,000$
13Alexander Romanov (R)X100.007546886880717969257371712566705957680232894,167$
14Chad Ruhwedel (R)X100.007345777083655563257371713684755741670331575,000$
15Joakim Ryan (R)X100.005733946870827171307164674880733716660301700,000$
16Nick Seeler (R)X100.005840736775658459305954755469575017640301575,000$
Rayé
1Michael Chaput (R)X69.2273387567756470729189688668848240127103131,500,000$
2Blake Lizotte (R)X100.007242887283638069828168712569676655690251925,000$
3Valentin Zykov (R)X100.006041865878677562516159676477736720620281575,000$
4David Gustafsson (R)X100.007473766384686748807267655964666521620231817,500$
5Jakob Forsbacka Karlsson (R)X100.004928827071566466696056745756557021610261575,000$
6Tim Gettinger (R)X100.007783766784626255507467576244446620610253750,000$
7Jayce Hawryluk (R)X100.006132896573717159575754676372697220600273575,000$
8Morgan Barron (R)X100.007383726882575557807269486644446821600243925,000$
9Matt Boldy (R)X100.008073956273555170504949696444446921570223880,833$
10Isaac Ratcliffe (R)X100.007979806779596153503939644544445721530243813,750$
11Kurtis MacDermid (R)X100.007346657181626264257369772578735813680292900,000$
12Gabriel Carlsson (R)X100.007343906883655658257368662569665827650261575,000$
13Ian Mitchell (R)X100.007141887083666764257369612564635820650242925,000$
14Jérémy Davies (R)X100.007342856982666763257268612571675620650262750,000$
MOYENNE D’ÉQUIPE98.97735081687964686653716668477067573065
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 Berra100.007771828280898890908785999713368303621,500,000$
2Dustin Tokarski (R)100.007682817477969190887675879238538203321,000,000$
Rayé
1Maxime Lagacé (R)100.00828281787980828180777679854319790301750,000$
2Leland Irving (R)100.00796170737472727474736893993320730351575,000$
MOYENNE D’ÉQUIPE100.0079747977788483848378769093323279
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice86796974999269CAN551750,000$


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
1Jiri SekacRangers (NYR)RW97411627544163972217.95%218420.521236390001331053.16%7964001.1900001221
2Lawson CrouseRangers (NYR)LW105611-41610191933142015.15%519219.25145532000133009.09%1166001.1400002000
3Joel L'EsperanceRangers (NYR)RW10189-4295237731214.29%515115.13033131000000060.00%1033001.1900100001
4Artturi LehkonenRangers (NYR)LW1053862012173582514.29%422222.292139460002530034.62%2665000.7200000002
5Michael ChaputRangers (NYR)C101784602422189135.56%619819.821234450001301054.59%20756000.8100000010
6Janne KuokkanenRangers (NYR)C10617-500182030141520.00%316616.67404733000261052.78%18051010.8400000200
7Kurtis MacDermidRangers (NYR)D10123-1235202212348.33%1021721.71011230000034000.00%036000.2800001000
8Joakim RyanRangers (NYR)D10123-300511710514.29%915615.6600011200007100.00%014000.3800000000
9Alexander RomanovRangers (NYR)D101232801520165106.25%1125025.05101649000147000.00%037000.2400000001
10Anthony BitettoRangers (NYR)D90220100161510150.00%720823.15022337000039000.00%008000.1900000010
11Mark McNeillRangers (NYR)RW10022-160198112110.00%411111.15000050000000100.00%222000.3600000000
12Chad RuhwedelRangers (NYR)D10022180111312430.00%1522022.04000234000035000.00%061000.1800000000
13Paul CareyRangers (NYR)LW10112-200111511749.09%512612.6800018000170033.33%631000.3200000000
14Nick SeelerRangers (NYR)D10022-2608166430.00%415315.3300002000122000.00%001000.2600000000
15Noah GregorRangers (NYR)C10112-200911114139.09%211311.3700004000000044.29%7034000.3500000000
16Dryden HuntRangers (NYR)LW10101-100111017555.88%310310.37000010000210036.84%1925000.1900000000
17Jayce HawrylukRangers (NYR)RW1000100110000.00%11111.430000100000000.00%000000.00%00000000
18Adam BrooksRangers (NYR)C10000000198170.00%3737.3700001000000045.16%3100000.00%00000000
19Keegan KolesarRangers (NYR)RW10000-140907370.00%1747.400000000000000.00%331000.00%00000000
20Ian MitchellRangers (NYR)D1000000010000.00%11111.280000000000000.00%010000.00%00000000
Statistiques d’équipe totales ou en moyenne180314576-61452527625329010418410.69%101294816.3810152547419000103734050.00%6445865010.5200104445
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
1Reto BerraRangers (NYR)74300.8993.23427202322790100.00%073001
2Dustin TokarskiRangers (NYR)30300.9142.681792089339000.00%037000
Statistiques d’équipe totales ou en moyenne104600.9033.0660740313201291001010001


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)C271996-05-04 13:13:36Yes181 Lbs5 ft10NoNoNo1Pro & Farm759,167$0$0$No
Alexander RomanovRangers (NYR)D232000-01-06 09:15:55Yes207 Lbs6 ft0NoNoNo2Pro & Farm894,167$0$0$No894,167$
Anthony BitettoRangers (NYR)D321990-07-15 17:11:13Yes210 Lbs6 ft1NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Artturi LehkonenRangers (NYR)LW271995-07-04 08:48:34Yes177 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Blake LizotteRangers (NYR)C251997-12-13 03:51:38Yes172 Lbs5 ft7NoNoNo1Pro & Farm925,000$0$0$No
Chad RuhwedelRangers (NYR)D331990-05-07 17:11:13Yes191 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
David GustafssonRangers (NYR)C232000-04-11 13:15:42Yes196 Lbs6 ft2NoNoNo1Pro & Farm817,500$0$0$No
Dryden HuntRangers (NYR)LW271995-11-24 04:22:26Yes191 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Dustin TokarskiRangers (NYR)G331989-09-16 11:11:14Yes198 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Gabriel CarlssonRangers (NYR)D261997-01-02 10:15:54Yes192 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$No
Ian MitchellRangers (NYR)D241999-01-18 09:13:42Yes174 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
Isaac RatcliffeRangers (NYR)LW241999-02-15 12:21:09Yes201 Lbs6 ft6NoNoNo3Pro & Farm813,750$0$0$No813,750$813,750$
Jakob Forsbacka KarlssonRangers (NYR)C261996-10-31 10:19:50Yes184 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Janne KuokkanenRangers (NYR)C251998-05-25 04:20:12Yes193 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$
Jayce HawrylukRangers (NYR)RW271996-01-01 11:58:42Yes196 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Jiri SekacRangers (NYR)RW311992-06-10 05:11:13Yes180 Lbs6 ft2NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Joakim RyanRangers (NYR)D301993-06-17 04:16:45Yes185 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Joel L'EsperanceRangers (NYR)RW271995-08-18 08:24:08Yes210 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Jérémy DaviesRangers (NYR)D261996-12-04 12:57:55Yes181 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$
Keegan KolesarRangers (NYR)RW261997-04-08 13:17:43Yes227 Lbs6 ft2NoNoNo1Pro & Farm702,500$0$0$No
Kurtis MacDermidRangers (NYR)D291994-03-25 06:13:18Yes233 Lbs6 ft5NoNoNo2Pro & Farm900,000$0$0$No900,000$
Lawson CrouseRangers (NYR)LW261997-06-23 10:23:02Yes220 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$No
Leland IrvingRangers (NYR)G351988-04-11 05:11:14Yes180 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
Mark McNeillRangers (NYR)RW301993-02-22 11:11:13Yes217 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Matt BoldyRangers (NYR)LW222001-04-05 12:23:41Yes201 Lbs6 ft2NoNoNo3Pro & Farm880,833$0$0$No880,833$880,833$
Maxime LagacéRangers (NYR)G301993-01-12 14:05:29Yes190 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Michael Chaput (sur la masse salariale)Rangers (NYR)C311992-04-09 05:11:13Yes198 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Morgan BarronRangers (NYR)C241998-12-02 10:41:15Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Nick SeelerRangers (NYR)D301993-06-03 06:09:39Yes198 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Noah GregorRangers (NYR)C241998-07-28 13:20:10Yes185 Lbs6 ft0NoNoNo1Pro & Farm768,333$0$0$No
Paul CareyRangers (NYR)LW341988-09-24 03:19:13Yes200 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Reto BerraRangers (NYR)G361987-01-03 23:11:14No218 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Tim GettingerRangers (NYR)LW251998-04-14 05:50:21Yes220 Lbs6 ft6NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Valentin ZykovRangers (NYR)LW281995-05-15 09:22:24Yes220 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3427.82198 Lbs6 ft11.82864,301$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artturi LehkonenJiri Sekac35122
2Lawson CrouseJanne KuokkanenJoel L'Esperance35122
3Paul CareyNoah GregorMark McNeill25122
4Dryden HuntAdam BrooksKeegan Kolesar5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoAlexander Romanov35122
2Chad Ruhwedel35122
3Joakim RyanNick Seeler30122
4Anthony BitettoAlexander Romanov0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artturi LehkonenJiri Sekac60122
2Lawson CrouseJanne KuokkanenJoel L'Esperance40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoAlexander Romanov60122
2Chad Ruhwedel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jiri SekacArtturi Lehkonen60122
2Lawson Crouse40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoAlexander Romanov60122
2Chad Ruhwedel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jiri Sekac60122Anthony BitettoAlexander Romanov60122
2Artturi Lehkonen40122Chad Ruhwedel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jiri SekacArtturi Lehkonen60122
2Lawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoAlexander Romanov60122
2Chad Ruhwedel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artturi LehkonenJiri SekacAnthony BitettoAlexander Romanov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artturi LehkonenJiri SekacAnthony BitettoAlexander Romanov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Carey, Noah Gregor, Dryden HuntPaul Carey, Noah GregorDryden Hunt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Ryan, Nick Seeler, Joakim RyanNick Seeler,
Tirs de pénalité
Jiri Sekac, Artturi Lehkonen, Lawson Crouse, , Janne Kuokkanen
Gardien
#1 : Reto Berra, #2 : Dustin Tokarski
Lignes d’attaque personnalisées en prolongation
Jiri Sekac, Artturi Lehkonen, Lawson Crouse, , Janne Kuokkanen, Joel L'Esperance, Joel L'Esperance, Paul Carey, Noah Gregor, Dryden Hunt, Mark McNeill
Lignes de défense personnalisées en prolongation
Anthony Bitetto, Alexander Romanov, , Chad Ruhwedel, Joakim Ryan


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
1Capitals40400000916-72020000037-42020000069-300.00091120001568211610091954144454510118316.67%20480.00%011724447.95%13626152.11%6913949.64%2161152119818089
2Islanders64200000221573300000013763120000098180.6672234560015682174100919541765610417533721.21%37586.49%011724447.95%13626152.11%6913949.64%2161152119818089
Total104600000313105320000016142514000001517-280.400314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089
_Since Last GM Reset104600000313105320000016142514000001517-280.400314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089
_Vs Conference104600000313105320000016142514000001517-280.400314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089
_Vs Division104600000313105320000016142514000001517-280.400314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L431457629032010114927600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600003131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001614
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001517
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
511019.61%57984.21%0
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
1009195415682
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
11724447.95%13626152.11%6913949.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2161152119818089


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 - 2022-10-184Rangers2Islanders3ALR5Sommaire du match
3 - 2022-10-2012Rangers1Islanders2ALSommaire du match
5 - 2022-10-2220Islanders3Rangers4BWXR5Sommaire du match
7 - 2022-10-2428Islanders3Rangers4BWXSommaire du match
9 - 2022-10-2636Rangers6Islanders3AWR5Sommaire du match
11 - 2022-10-2844Islanders1Rangers5BWSommaire du match
15 - 2022-11-0158Rangers3Capitals5ALR5Sommaire du match
17 - 2022-11-0362Rangers3Capitals4ALSommaire du match
19 - 2022-11-0566Capitals3Rangers2BLR5Sommaire du match
21 - 2022-11-0770Capitals4Rangers1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance9,9575,000
Assistance PCT99.57%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2991 - 99.71% 127,844$639,218$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,788,625$ 1,808,625$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
1Michael Chaput69254469133712518116814.88%35135519.64814222703344157.8101.0226
2Joel L'Esperance80223658-811920211320410.78%33139217.40411152700002237.0800.8302
3Artturi Lehkonen632235574278913417712.43%39136821.7399183200034242.2900.8319
4Jiri Sekac50272956212513810618814.36%2797519.51615212901153246.2111.1526
5Lawson Crouse76252853-23681861382539.88%33147419.40610162221373136.2810.7217

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 Tokarski65302490.9043.003723401861936824120.71138
2Reto Berra236720.8843.6010170061526234100.6673
3Maxime Lagacé41200.8823.62199001210239010.00%0
4Leland Irving10100.9003.16380022011000.00%0

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
1782293404546248270-2241161602322124127-341131802224124143-19852484066543062958313245574988679764258783878121352635621.29%2865780.07%51014193552.40%1026204850.10%615121850.49%171595518027691467729
Total Saison régulière82293404546248270-2241161602322124127-341131802224124143-19852484066543062958313245574988679764258783878121352635621.29%2865780.07%51014193552.40%1026204850.10%615121850.49%171595518027691467729
Séries éliminatoires
17104600000313105320000016142514000001517-28314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089
Total Séries éliminatoires104600000313105320000016142514000001517-28314576001568229010091954320101149276511019.61%57984.21%011724447.95%13626152.11%6913949.64%2161152119818089

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
1Jiri Sekac9741162744163917.95%218420.52123600011053.1601.1900
2Lawson Crouse105611-41619193315.15%519219.2514550001009.0901.1400
3Joel L'Esperance10189-429237714.29%515115.13033100000060.0001.1900
4Michael Chaput10178462422185.56%619819.82123400011054.5900.8100
5Artturi Lehkonen105386212173514.29%422222.29213900020034.6200.7200

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
1Reto Berra74300.8993.23427202322790100.00%0
2Dustin Tokarski30300.9142.681792089339000.00%0