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Rangers
GP: 82 | W: 31 | L: 46 | OTL: 5 | P: 67
GF: 243 | GA: 285 | PP%: 17.57% | PK%: 78.38%
DG: Libre | Morale : 15 | Moyenne d’équipe : 68
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Centre de jeu
Rangers
31-46-5, 67pts
1
FINAL
3 Sharks
31-39-12, 74pts
Team Stats
W1SéquenceW1
14-24-3Fiche domicile16-19-6
17-22-2Fiche domicile15-20-6
6-3-1Derniers 10 matchs4-5-1
2.96Buts par match 2.88
3.48Buts contre par match 3.35
17.57%Pourcentage en avantage numérique19.42%
78.38%Pourcentage en désavantage numérique79.77%
Predators
45-24-13, 103pts
4
FINAL
5 Rangers
31-46-5, 67pts
Team Stats
SOL1SéquenceW1
21-14-6Fiche domicile14-24-3
24-10-7Fiche domicile17-22-2
6-2-2Derniers 10 matchs6-3-1
3.22Buts par match 2.96
3.00Buts contre par match 3.48
21.98%Pourcentage en avantage numérique17.57%
84.32%Pourcentage en désavantage numérique78.38%
Meneurs d'équipe
Buts
Matthew Boldy
44
Passes
Jiri Sekac
44
Points
Matthew Boldy
81
Plus/Moins
Dryden Hunt
20
Victoires
Maxime Lagacé
22
Pourcentage d’arrêts
Maxime Lagacé
0.895

Statistiques d’équipe
Buts pour
243
2.96 GFG
Tirs pour
2389
29.13 Avg
Pourcentage en avantage numérique
17.6%
39 GF
Début de zone offensive
37.5%
Buts contre
285
3.48 GAA
Tirs contre
2583
31.50 Avg
Pourcentage en désavantage numérique
78.4%%
72 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralLibre
EntraîneurRick Bowness
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,823
Billets de saison1,800


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs26


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
1Artturi Lehkonen (R)X100.0072507587739085855079799025857967417702823,000,000$
2Jiri Sekac (R)X100.0099872273723556985698986461928930787603123,000,000$
3Matthew Boldy (R)X100.007355738986877891808086712589594935760232880,833$
4Lawson Crouse (R)X100.0081557478889087855377807525827973317502632,000,000$
5Blake Lizotte (R)X100.0079566689718485817778707725817159417302632,000,000$
6Morgan Barron (R)X100.007955757489848077507367752574615240700252925,000$
7Keegan Kolesar (R)X100.0090786674878283745070687025736654426902731,000,000$
8Noah Gregor (R)X100.007960727778848177496770702576665442690253900,000$
9Janne Kuokkanen (R)X100.007541916875578278708073542576786434670251800,000$
10Joel L'Esperance (R)X100.008459486477435980667976715467653041670282700,000$
11Dryden Hunt (R)X100.008260697277767666407569642568766432670282600,000$
12David Gustafsson (R)X100.006840887589817868746559712569665434660243700,000$
13Alexander Romanov (R)X100.008055728389878078407863892575615233760241894,167$
14Nick Seeler (R)X100.0076766878818386764070668625747664417403032,000,000$
15Anthony Bitetto (R)X100.0099626362767778673072527446907929427003311,250,000$
16Kurtis MacDermid (R)X100.008077606990768169406661712568766462690301900,000$
17Connor Mackey (R)X100.006975577582847070406464692571615246672273912,500$
18Anton Lindholm (R)X100.006930926573617675307370755271624721660292700,000$
Rayé
1Adam Brooks (R)X100.006633996976595966607975627575716822660283600,000$
2Mark McNeill (R)X100.007857566078446780796762626182732619630313575,000$
3Kieffer Bellows (R)X100.007240827380787368506063632568655523630253575,000$
4Valentin Zykov (R)X100.005132955877627555515453706480766419590282575,000$
5Jayce Hawryluk (R)X100.005122996474567158555653686375726920590282575,000$
6Tim Gettinger (R)X100.006773866382566251507063586245456519580262750,000$
7Isaac Ratcliffe (R)X100.007979806978596153503939644547475419530252813,750$
8Ian Mitchell (R)X100.005740817579847068406661662569615219650251925,000$
9Joakim Ryan (R)X98.334824996772797168306861634882763513640303575,000$
10Gabriel Carlsson (R)X100.006940666668656661405952692560545020610273575,000$
11Jérémy Davies (R)X100.005842567267656666405761672566545019610271750,000$
MOYENNE D’ÉQUIPE99.93735473727971747251706670377368533367
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
1Dustin Tokarski (R)100.007682817678999494927675919734468403411,000,000$
2Maxime Lagacé (R)100.00828281768082848382777683893960800313900,000$
Rayé
1Jeremy Smith100.00675671737074677071686687732620680353575,000$
MOYENNE D’ÉQUIPE100.0075737875768582828274728786334277
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness9085858998851CAN6832,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# 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
1Matthew BoldyRangers (NYR)LW824437813114601431323008719414.67%44165820.23741125147112112693356.35%1268124010.9804048755
2Jiri SekacRangers (NYR)RW79274471-35432952311011908513514.21%39137317.39711182115021341025250.79%1264220101.0314241520421
3Lawson CrouseRangers (NYR)RW82283967-265351721162749417210.22%43155919.0229111615121351281246.34%823930000.8600331446
4Artturi LehkonenRangers (NYR)LW78372865388501151362736913613.55%53164421.0976131916610162786140.34%5906630120.7904216563
5Blake LizotteRangers (NYR)C721038487895512813811956968.40%37119616.622101212160000030052.99%15704221000.8000416131
6Noah GregorRangers (NYR)C82191938-2010050141126163579711.66%32118514.45325562000043139.67%9003418000.6400424221
7Morgan BarronRangers (NYR)C76122234-81047014916695345112.63%24126316.633588133000024042.17%1290722100.5400635311
8Alexander RomanovRangers (NYR)D7733033-4823011514210136452.97%100181723.602810101960333275100%02453000.3600312100
9Joel L'EsperanceRangers (NYR)RW8212193111421010244119458710.08%106628.07000290000151148.57%351213000.9401002001
10Janne KuokkanenRangers (NYR)LW82111930-271010709016157936.83%18112913.7800021910151201054.17%722617000.5301110004
11Keegan KolesarRangers (NYR)RW81121628-18149751437913626838.82%18101712.56000134011000032.43%742611100.5500519022
12Dryden HuntRangers (NYR)LW82131326204325693779383816.46%196658.12000010000453050.00%16199000.7800022031
13Kurtis MacDermidRangers (NYR)D750222253101601211395316250%71151620.2205531220001155000%01346000.290111318011
14Nick SeelerRangers (NYR)D7341115-31801201101418431364.76%95169523.23347121730114240100%01959000.18006810010
15Anthony BitettoRangers (NYR)D68311144169851191094722136.38%77141020.7430341190220156000%0835000.2000557000
16Connor MackeyRangers (NYR)D7701414-1721811095974326280%62136217.70011158000064000%01430000.21005512001
17David GustafssonRangers (NYR)C823101390045746815374.41%206908.42000030000460056.44%2641111000.3800000010
18Ian MitchellRangers (NYR)D6501111-7231548813516200%57109616.88000017000053000%0733000.2000003001
19Adam BrooksRangers (NYR)C14325200716166418.75%816311.69000220000121050.93%10814000.6100000001
20Joakim RyanRangers (NYR)D450330001754191670%5175616.8200005000075000%0522000.0800000000
21Mark McNeillRangers (NYR)RW61121205182112.50%0437.190000000000010%101000.9300000010
22Valentin ZykovRangers (NYR)LW3011000210110%1268.850000000004000%000000.7500000000
23Gabriel CarlssonRangers (NYR)D5011320553020%68517.190000000003000%015000.2300000000
24Anton LindholmRangers (NYR)D6000-1003153210%79415.770000200004000%01200000000000
25Kieffer BellowsRangers (NYR)LW1000-100000100%066.630000000000000%00000000000000
26Jérémy DaviesRangers (NYR)D1000000020000%199.550000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1476242411653-4323331255215520422389838140210.13%8932413316.353965104143173871017392062301146.36%5254498516430.541157955115273230
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
1Maxime LagacéRangers (NYR)54222730.8953.243071801661588776450.50025230312
2Dustin TokarskiRangers (NYR)3591920.8883.57186700111990439100.62583052310
Statistiques d’équipe totales ou en moyenne89314650.8933.374938802772578121555108282622


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BrooksRangers (NYR)C281996-05-04 13:13:36Yes181 Lbs5 ft10NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Alexander RomanovRangers (NYR)D242000-01-06 09:15:55Yes215 Lbs6 ft1NoNoN/ANoNo1Pro & Farm894,167$0$0$No------------------
Anthony BitettoRangers (NYR)D331990-07-15 17:11:13Yes210 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Anton LindholmRangers (NYR)D291994-11-29 10:02:12Yes193 Lbs5 ft11NoNoTrade2024-03-30NoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Artturi LehkonenRangers (NYR)LW281995-07-04 08:48:34Yes179 Lbs5 ft11NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Blake LizotteRangers (NYR)C261997-12-13 03:51:38Yes170 Lbs5 ft9NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Connor MackeyRangers (NYR)D271996-09-12 12:45:17Yes197 Lbs6 ft2NoNoN/ANoNo3Pro & Farm912,500$0$0$No912,500$912,500$-------NoNo-------
David GustafssonRangers (NYR)C242000-04-11 13:15:42Yes212 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Dryden HuntRangers (NYR)LW281995-11-24 04:22:26Yes193 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Dustin TokarskiRangers (NYR)G341989-09-16 11:11:14Yes198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------
Gabriel CarlssonRangers (NYR)D271997-01-02 10:15:54Yes203 Lbs6 ft5NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Ian MitchellRangers (NYR)D251999-01-18 09:13:42Yes193 Lbs5 ft11NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Isaac RatcliffeRangers (NYR)LW251999-02-15 12:21:09Yes201 Lbs6 ft6NoNoN/ANoNo2Pro & Farm813,750$0$0$No813,750$--------No--------
Janne KuokkanenRangers (NYR)LW251998-05-25 04:20:12Yes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Jayce HawrylukRangers (NYR)RW281996-01-01 11:58:42Yes196 Lbs5 ft11NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Jeremy SmithRangers (NYR)G351989-04-13 10:57:47No180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jiri SekacRangers (NYR)RW311992-06-10 05:11:13Yes180 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Joakim RyanRangers (NYR)D301993-06-17 04:16:45Yes185 Lbs5 ft11NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Joel L'EsperanceRangers (NYR)RW281995-08-18 08:24:08Yes210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Jérémy DaviesRangers (NYR)D271996-12-04 12:57:55Yes181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Keegan KolesarRangers (NYR)RW271997-04-08 13:17:43Yes217 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Kieffer BellowsRangers (NYR)LW251998-06-10 13:09:33Yes195 Lbs6 ft1NoNoTrade2024-03-30NoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Kurtis MacDermidRangers (NYR)D301994-03-25 06:13:18Yes233 Lbs6 ft5NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Lawson CrouseRangers (NYR)RW261997-06-23 10:23:02Yes215 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Mark McNeillRangers (NYR)RW311993-02-22 11:11:13Yes217 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Matthew BoldyRangers (NYR)LW232001-04-05 12:23:41Yes201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm880,833$0$0$No880,833$--------No--------
Maxime LagacéRangers (NYR)G311993-01-12 14:05:29Yes190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Morgan BarronRangers (NYR)C251998-12-02 10:41:15Yes220 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Nick SeelerRangers (NYR)D301993-06-03 06:09:39Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Noah GregorRangers (NYR)C251998-07-28 13:20:10Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Tim GettingerRangers (NYR)LW261998-04-14 05:50:21Yes220 Lbs6 ft6NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Valentin ZykovRangers (NYR)LW281995-05-15 09:22:24Yes220 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3227.78200 Lbs6 ft12.221,028,945$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artturi LehkonenBlake LizotteJiri Sekac35122
2Matthew BoldyMorgan BarronLawson Crouse35122
3Dryden HuntNoah GregorKeegan Kolesar25122
4Janne KuokkanenDavid GustafssonJoel L'Esperance5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovNick Seeler35122
2Anthony BitettoKurtis MacDermid35122
3Connor MackeyAnton Lindholm30122
4Alexander RomanovNick Seeler0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artturi LehkonenBlake LizotteJiri Sekac60122
2Matthew BoldyMorgan BarronLawson Crouse40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovNick Seeler60122
2Anthony BitettoKurtis MacDermid40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Artturi LehkonenMatthew Boldy60122
2Jiri SekacLawson Crouse40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovNick Seeler60122
2Anthony BitettoKurtis MacDermid40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Artturi Lehkonen60122Alexander RomanovNick Seeler60122
2Matthew Boldy40122Anthony BitettoKurtis MacDermid40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Artturi LehkonenMatthew Boldy60122
2Jiri SekacLawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovNick Seeler60122
2Anthony BitettoKurtis MacDermid40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artturi LehkonenBlake LizotteJiri SekacAlexander RomanovNick Seeler
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artturi LehkonenBlake LizotteJiri SekacAlexander RomanovNick Seeler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Keegan Kolesar, Noah Gregor, Dryden HuntKeegan Kolesar, Noah GregorDryden Hunt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Mackey, Anton Lindholm, Anthony BitettoConnor MackeyAnton Lindholm, Anthony Bitetto
Tirs de pénalité
Artturi Lehkonen, Matthew Boldy, Jiri Sekac, Lawson Crouse, Blake Lizotte
Gardien
#1 : Dustin Tokarski, #2 : Maxime Lagacé
Lignes d’attaque personnalisées en prolongation
Artturi Lehkonen, Matthew Boldy, Jiri Sekac, Lawson Crouse, Blake Lizotte, Morgan Barron, Morgan Barron, Keegan Kolesar, Noah Gregor, Dryden Hunt, Joel L'Esperance
Lignes de défense personnalisées en prolongation
Alexander Romanov, Nick Seeler, Anthony Bitetto, Kurtis MacDermid, Connor Mackey


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
1Avalanche31200000981211000007521010000023-120.333914230069818941007417928383087226566500.00%5260.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
2Blackhawks3120000078-12020000036-31100000042220.333712190069818949774179283830933772973133.33%60100.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
3Blues30200100913-42010010057-21010000046-210.16791726106981894100741792838301032413696116.67%50100.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
4Bruins31200000810-21010000024-22110000066020.333815230069818947374179283830873210885700.00%14285.71%1901195846.02%934201646.33%601125248.00%173299317997451414694
5Canadiens3120000059-41010000014-32110000045-120.333591400698189480741792838309625116837114.29%13376.92%0901195846.02%934201646.33%601125248.00%173299317997451414694
6Canucks3200100016971000100032122000000137661.0001627430069818949074179283830963337795240.00%6183.33%0901195846.02%934201646.33%601125248.00%173299317997451414694
7Capitals523000001415-131200000910-12110000055040.40014264000698189412474179283830146452111302015.00%28582.14%0901195846.02%934201646.33%601125248.00%173299317997451414694
8Devils614000011423-920200000510-541200001913-430.250142135006981894169741792838301705730816625312.00%39976.92%0901195846.02%934201646.33%601125248.00%173299317997451414694
9Ducks321000001213-1110000006512110000068-240.66712203200698189495741792838301114764706116.67%7357.14%0901195846.02%934201646.33%601125248.00%173299317997451414694
10Flames31101000121112010100069-31100000062440.66712203200698189410074179283830894655823133.33%6350.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
11Flyers6330000023203312000001212032100000118360.500233861106981894155741792838301826616416736616.67%37781.08%2901195846.02%934201646.33%601125248.00%173299317997451414694
12Islanders50401000919-1030300000514-92010100045-120.20091322006981894113741792838301574422211521314.29%32681.25%2901195846.02%934201646.33%601125248.00%173299317997451414694
13Kings32000001844210000014311100000041350.8338122000698189410174179283830933914675240.00%20100.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
14Maple Leafs30300000616-101010000045-120200000211-900.000610160069818949274179283830113477880600.00%19668.42%0901195846.02%934201646.33%601125248.00%173299317997451414694
15Oilers3110000113112110000008262010000159-430.500132235006981894101741792838301082539726116.67%3166.67%0901195846.02%934201646.33%601125248.00%173299317997451414694
16Penguins541000002215722000000945321000001311280.8002239610069818941327417928383015070316147251144.00%34682.35%0901195846.02%934201646.33%601125248.00%173299317997451414694
17Predators3110001012111210000108621010000045-140.66712193100698189410574179283830983488805120.00%9455.56%0901195846.02%934201646.33%601125248.00%173299317997451414694
18Red Wings3020010059-42010010046-21010000013-210.16759140069818947674179283830106384681400.00%13192.31%0901195846.02%934201646.33%601125248.00%173299317997451414694
19Sabres3210000089-1110000003212110000057-240.667811190069818948574179283830863671748112.50%13469.23%0901195846.02%934201646.33%601125248.00%173299317997451414694
20Senateurs404000001018-830300000915-61010000013-200.0001018281069818941147417928383012652899610110.00%17288.24%1901195846.02%934201646.33%601125248.00%173299317997451414694
21Sharks3120000068-21010000013-22110000055020.333611172069818949374179283830842286884125.00%8275.00%0901195846.02%934201646.33%601125248.00%173299317997451414694
22Stars30300000514-91010000013-220200000411-700.00058130069818949074179283830103316374300.00%14378.57%1901195846.02%934201646.33%601125248.00%173299317997451414694
23Wild312000001012-2211000008801010000024-220.33310203000698189410474179283830992116872150.00%3233.33%0901195846.02%934201646.33%601125248.00%173299317997451414694
Total82274603213243285-4241112402211123145-2241162201002120140-20670.4092434116545069818942389741792838302583893234121552223917.57%3337278.38%7901195846.02%934201646.33%601125248.00%173299317997451414694
_Since Last GM Reset82274603213243285-4241112402211123145-2241162201002120140-20670.4092434116545069818942389741792838302583893234121552223917.57%3337278.38%7901195846.02%934201646.33%601125248.00%173299317997451414694
_Vs Conference46142901101124163-3922516001006386-2324913010016177-16320.3481242093332069818941213741792838301419512172912241692715.98%2595180.31%6901195846.02%934201646.33%601125248.00%173299317997451414694
_Vs Division271015010018292-101349000004050-1014660100142420230.426821372191069818946937417928383080528212217251272418.90%1703380.59%4901195846.02%934201646.33%601125248.00%173299317997451414694

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8267W1243411654238925838932341215550
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227463213243285
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4111242211123145
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116221002120140
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2223917.57%3337278.38%7
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
741792838306981894
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
901195846.02%934201646.33%601125248.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173299317997451414694


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
12Senateurs6Rangers4BLR2Sommaire du match
211Rangers1Devils3ALSommaire du match
424Rangers5Flyers3AWR5Sommaire du match
740Flyers4Rangers3BLSommaire du match
953Rangers3Devils4ALXXR5Sommaire du match
1058Rangers6Penguins3AWR5Sommaire du match
1370Islanders3Rangers1BLSommaire du match
1681Rangers1Maple Leafs7ALR2Sommaire du match
1892Rangers2Islanders4ALSommaire du match
1997Capitals6Rangers5BLR5Sommaire du match
22114Flames3Rangers4BWXSommaire du match
25131Rangers1Canadiens4ALR2Sommaire du match
26140Capitals1Rangers2BWSommaire du match
29154Rangers4Flyers1AWR5Sommaire du match
31164Kings1Rangers3BWSommaire du match
33176Rangers3Penguins2AWR5Sommaire du match
35187Rangers2Ducks5ALSommaire du match
36191Avalanche2Rangers6BWSommaire du match
39204Rangers4Penguins6ALR5Sommaire du match
41214Islanders8Rangers3BLSommaire du match
43226Rangers4Blackhawks2AWSommaire du match
45234Rangers1Maple Leafs4ALR2Sommaire du match
46241Bruins4Rangers2BLSommaire du match
50261Kings2Rangers1BLXXSommaire du match
52272Rangers2Flyers4ALR5Sommaire du match
54287Blackhawks3Rangers2BLSommaire du match
56294Rangers4Kings1AWSommaire du match
58310Oilers2Rangers8BWSommaire du match
60320Rangers3Canadiens1AWR2Sommaire du match
62331Rangers6Flames2AWSommaire du match
63336Capitals3Rangers2BLR5Sommaire du match
66347Rangers6Canucks2AWSommaire du match
67359Red Wings4Rangers3BLXR2Sommaire du match
70374Rangers2Avalanche3ALSommaire du match
72382Canucks2Rangers3BWXSommaire du match
75395Rangers3Oilers4ALXXSommaire du match
78407Devils4Rangers2BLR5Sommaire du match
81419Rangers2Oilers5ALSommaire du match
83431Canadiens4Rangers1BLR2Sommaire du match
86446Rangers2Stars6ALSommaire du match
88456Flames6Rangers2BLSommaire du match
90468Rangers1Sabres4ALR2Sommaire du match
92473Rangers4Ducks3AWSommaire du match
93480Maple Leafs5Rangers4BLR2Sommaire du match
96493Rangers4Blues6ALSommaire du match
98501Rangers4Devils2AWR5Sommaire du match
99507Avalanche3Rangers1BLSommaire du match
101526Rangers4Predators5ALSommaire du match
103531Islanders3Rangers1BLR5Sommaire du match
107552Sharks3Rangers1BLSommaire du match
109561Rangers2Stars5ALSommaire du match
111572Rangers4Sabres3AWR2Sommaire du match
112576Ducks5Rangers6BWSommaire du match
116592Rangers1Senateurs3ALR2Sommaire du match
117600Red Wings2Rangers1BLR2Sommaire du match
120616Rangers2Islanders1AWXSommaire du match
121624Blackhawks3Rangers1BLSommaire du match
124638Rangers7Canucks5AWSommaire du match
126648Flyers2Rangers4BWR5Sommaire du match
127657Rangers1Red Wings3ALR2Sommaire du match
130672Flyers6Rangers5BLSommaire du match
133684Rangers2Wild4ALSommaire du match
135694Rangers1Devils4ALR5Sommaire du match
136696Stars3Rangers1BLSommaire du match
140720Penguins3Rangers4BWR5Sommaire du match
142730Rangers2Capitals4ALSommaire du match
144742Wild5Rangers3BLSommaire du match
147757Rangers3Bruins5ALR2Sommaire du match
149767Senateurs4Rangers2BLR2Sommaire du match
151779Rangers3Capitals1AWR5Sommaire du match
153791Blues3Rangers2BLSommaire du match
157814Penguins1Rangers5BWR5Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162839Senateurs5Rangers3BLSommaire du match
165858Rangers3Bruins1AWR2Sommaire du match
166864Devils6Rangers3BLSommaire du match
170887Blues4Rangers3BLXSommaire du match
173905Sabres2Rangers3BWR2Sommaire du match
175914Rangers4Sharks2AWSommaire du match
179933Wild3Rangers5BWSommaire du match
183949Predators2Rangers3BWSommaire du match
186961Rangers1Sharks3ALSommaire du match
192980Predators4Rangers5BWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance77,72238,035
Assistance PCT94.78%92.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2823 - 94.11% 120,879$4,956,039$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,082,216$ 3,292,625$ 1,312,625$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,082,256$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 27,423$ 0$




Rangers Leaders statistiques des joueurs (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

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

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

Rangers Leaders statistiques des joueurs (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

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