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Connexion

Rangers
GP: 82 | W: 42 | L: 34 | OTL: 6 | P: 90
GF: 249 | GA: 254 | PP%: 22.08% | PK%: 88.66%
DG: Libre | Morale : 59 | Moyenne d’équipe : 67

Centre de jeu
Maple Leafs
34-38-10, 78pts
0
2 Rangers
42-34-6, 90pts
Team Stats
L4SéquenceW2
17-20-4Fiche domicile22-16-3
17-18-6Fiche domicile20-18-3
4-6-0Derniers 10 matchs4-4-2
3.24Buts par match 3.04
3.52Buts contre par match 3.10
19.43%Pourcentage en avantage numérique22.08%
83.03%Pourcentage en désavantage numérique88.66%
Penguins
44-31-7, 95pts
3
4 Rangers
42-34-6, 90pts
Team Stats
SOL1SéquenceW2
25-13-3Fiche domicile22-16-3
19-18-4Fiche domicile20-18-3
7-2-1Derniers 10 matchs4-4-2
3.13Buts par match 3.04
2.91Buts contre par match 3.10
19.41%Pourcentage en avantage numérique22.08%
84.24%Pourcentage en désavantage numérique88.66%
Meneurs d'équipe
Buts
Lawson Crouse
56
Passes
Lane Hutson
73
Points
Lawson Crouse
93
Plus/Moins
Dryden Hunt
20
Victoires
Joni Ortio
36
Pourcentage d’arrêts
Joni Ortio
0.911

Statistiques d’équipe
Buts pour
249
3.04 GFG
Tirs pour
2605
31.77 Avg
Pourcentage en avantage numérique
22.1%
51 GF
Début de zone offensive
38.7%
Buts contre
254
3.10 GAA
Tirs contre
2656
32.39 Avg
Pourcentage en désavantage numérique
88.7%%
22 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
Assistance2,942
Billets de saison1,800


Informations de la formation

Équipe Pro40
Équipe Mineure18
Limite Contrat58 / 68
Espoirs29


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
1Lawson Crouse (R)X100.0090706676828687925284876925918764787802812,000,000$
2Blake Lizotte (R)X100.0074488286698085898087797425908266617702812,000,000$
3Dryden Hunt (R)X100.0088556973738878724081756925768361807203011,250,000$
4Morgan Barron (R)X100.0083409275898185747967697825747159767102731,250,000$
5Noah GregorX100.007763757581838174526666652577725373680271900,000$
6Janne Kuokkanen (R)X100.006027996875458280728075422584875573670272600,000$
7David Gustafsson (R)X100.006045827482787667756363672569766456660261700,000$
8Mikael Pyyhtia (R)X100.006640888078827567456265692572614965661243897,500$
9Adam Edstrom (R)X100.007855777095787369406365682570594979662252846,667$
10Matt Rempe (R)X100.008576606899777368506463682568594981662232820,000$
11Mark McNeill (R)X100.006543706077356785637368616191831779650331575,000$
12Brett Berard (R)X100.007140827975816571406467652572525030650233867,500$
13Alexander Romanov (R)X100.0076488686838882864089758725816650807802623,500,000$
14Lane Hutson (R)X100.006840769672897888409072852585594968770223950,000$
15Yannick WeberX100.003519960746879945386857266999929797203732,000,000$
16Brandon Gormley (R)X100.001419963754159982597976860999937457003431,250,000$
17Yohann Auvitu (R)X100.00151996472495798309194686199897806903631,000,000$
18Kurtis MacDermid (R)X100.0078687465897378664066637125798759576903221,000,000$
Rayé
1Dmitrij JaskinX100.0055149961796691754564626165999936716603311,000,000$
2Kieffer Bellows (R)X100.006740757278817168456263612568756520640271575,000$
3Adam Brooks (R)X100.005018996971455967597975607581776220640301600,000$
4Isaac Ratcliffe (R)X100.006746687276766667406459692569594719630273575,000$
5Dylan Sikura (R)X100.007661827769687551616361546683775420610303575,000$
6Valentin Zykov (R)X100.004324995879587558515755716488845619600303575,000$
7Clark Bishop (R)X100.006130996675426261796759552583775117600301575,000$
8Jayce Hawryluk (R)X100.005122996473567158555653686379766519590301575,000$
9Tim Gettinger (R)X100.006773866381566251507063586251515920590283575,000$
10Zach Dean (R)X100.005641686367626060415556542562524819551232852,500$
11Ryan Shea (R)X100.006040807385856869406365732569585019672292775,000$
12Ian Mitchell (R)X100.005841727469787070406763682573654819650272600,000$
13Connor Mackey (R)X100.005860547575817067406162672579694420652291912,500$
14Nick DeSimone (R)X100.005640777379856568406563662568605020652312762,500$
15Juuso Riikola (R)X100.006736966872685664246763662587814819640322600,000$
16Anton Lindholm (R)X100.005314996573567659305654755278684019630313575,000$
17Gabriel Carlsson (R)X100.006132746678636662406052702562564820620291575,000$
18Jérémy Davies (R)X100.005034647270606658404953672572604419600292575,000$
MOYENNE D’ÉQUIPE100.00624082717769727148696767377973504666
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
1Joni Ortio (R)99.007877717575999999997776999939828503522,000,000$
2Maxime Lagacé (R)100.00828281768086878685777690963282810331900,000$
Rayé
1Nico Daws (R)100.00777273807781808080764071585020752252850,333$
2Jeremy Smith (R)100.00675671737074677071686692782120690371575,000$
MOYENNE D’ÉQUIPE99.7576727476768583848475658883365178
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness9583959199931CAN7012,000,000$


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
1Lawson CrouseRangers (NYR)RW7156379316642018011331310717617.89%32147920.8412152735174000215311238.56%3065327031.26150221072
2Blake LizotteRangers (NYR)C65354883933151341902297715115.28%36135220.811114252916600011366353.66%15454132111.23131111273
3Lane HutsonRangers (NYR)D8197382657151421462341011113.85%113187423.1451217382160003182110%08454000.8700102324
4Dryden HuntRangers (NYR)LW77182745208315203102115287315.65%38151319.655712161940001736134.95%1031026000.5904021125
5Brandon GormleyRangers (NYR)D8153641-2540915118475812.72%82164220.28268121280114123000%04656000.5011000101
6Alexander RomanovRangers (NYR)D77113041-921513016717370586.36%98184123.92369212070001179130%04964000.4500001232
7Morgan BarronRangers (NYR)C78152641-1295156199127438911.81%38150019.23358111451012972153.19%16131945000.5503100232
8Janne KuokkanenRangers (NYR)LW82211637-322010988245831468.57%27146117.82448181500000211348.24%852723000.5101000120
9Yohann AuvituRangers (NYR)D8223537-300212815555681.29%67137516.77011123000243100%04639000.5401000121
10Yannick WeberRangers (NYR)D7632326-32203211112662662.38%88162921.4412361290224134110%03354000.3211000011
11Mark McNeillRangers (NYR)RW82101424-62401174512051918.33%187629.29000180000161040.74%271712100.6301000112
12Noah GregorRangers (NYR)RW7014923-19811517297121357611.57%28125717.96314111391121251235.14%742827000.3702102213
13Mikael PyyhtiaRangers (NYR)LW7512921-14408176102235411.76%1497713.0300009000001045.07%71716000.4300000201
14David GustafssonRangers (NYR)C719918-121559510768264713.24%2293313.152244360000272051.23%691516100.3900001012
15Dmitrij JaskinRangers (NYR)LW7310414-600463969194714.49%116829.350000120001613143.75%16416000.4100000002
16Kurtis MacDermidRangers (NYR)D792101215925114947025242.86%70125515.89000020000025100%0845000.1900122002
17Adam EdstromRangers (NYR)C828412-91751267745162117.78%1583410.180000110001211133.47%478820000.2900010100
18Matt RempeRangers (NYR)RW815712-206610192817117467.04%29113013.960002370001370043.42%76814000.2100011101
19Dylan SikuraRangers (NYR)RW22123-600221174314.29%21888.5700000000010133.33%911000.3200000000
20Clark BishopRangers (NYR)C27123-1000131370514.29%32348.67000000000180058.24%9112000.2600000000
21Ryan SheaRangers (NYR)D16011-8100151510440%1824915.600000000005000%004000.0800000000
22Jayce HawrylukRangers (NYR)RW2000200001000%1126.370000000000000%00000000000000
23Zach DeanRangers (NYR)C5000-100612100%0367.2800000000000028.57%140200000000000
24Brett BerardRangers (NYR)LW21000-5009311380%61436.8400000000000033.33%33600000000000
Statistiques d’équipe totales ou en moyenne1476247422669-17555113521052054260592514459.48%8562436916.5151751262051816246241385402049.33%5202498601340.554225913403234
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
1Joni OrtioRangers (NYR)67362350.9112.823782211782008836610.800206220665
2Maxime LagacéRangers (NYR)2561110.8893.6911712072647293200.50022062101
Statistiques d’équipe totales ou en moyenne92423460.9063.034954412502655112981228282766


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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)LW301996-05-04CANYes181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm600,000$3,061$0$0$No---------------------------
Adam EdstromRangers (NYR)C252000-10-12SWEYes241 Lbs6 ft7NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm846,667$4,320$0$0$No846,667$--------846,667$--------No--------
Alexander RomanovRangers (NYR)D262000-01-06RUSYes215 Lbs6 ft1NoNoN/ANoNo22024-09-08FalseFalsePro & Farm3,500,000$17,857$0$0$No3,500,000$-----------------No--------
Anton LindholmRangers (NYR)D311994-11-29SWEYes193 Lbs5 ft11NoNoTrade2024-03-30NoNo32025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Blake LizotteRangers (NYR)C281997-12-13USAYes175 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Brandon GormleyRangers (NYR)D341992-02-18CANYes204 Lbs6 ft2NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Brett BerardRangers (NYR)LW232002-09-09USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm867,500$4,426$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Clark BishopRangers (NYR)C301996-03-29CANYes199 Lbs6 ft1NoNoTrade2024-12-22NoNo12025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Connor MackeyRangers (NYR)D291996-09-12USAYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm912,500$4,656$0$0$No---------------------------
David GustafssonRangers (NYR)C262000-04-11SWEYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Dmitrij JaskinRangers (NYR)LW331993-03-23RUSNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$5,102$0$0$No---------------------------
Dryden HuntRangers (NYR)LW301995-11-24CANYes193 Lbs6 ft0NoNoN/ANoNo12025-08-09FalseFalsePro & Farm1,250,000$6,378$0$0$No---------------------------
Dylan SikuraRangers (NYR)RW301995-06-01CANYes166 Lbs5 ft11NoNoTrade2024-12-22NoNo32025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Gabriel CarlssonRangers (NYR)D291997-01-02SWEYes203 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Ian MitchellRangers (NYR)D271999-01-18CANYes172 Lbs5 ft11NoNoN/ANoNo22024-09-08FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Isaac RatcliffeRangers (NYR)LW271999-02-15CANYes205 Lbs6 ft3NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Janne KuokkanenRangers (NYR)LW271998-05-25FINYes193 Lbs6 ft1NoNoN/ANoNo22024-09-08FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Jayce HawrylukRangers (NYR)RW301996-01-01CANYes196 Lbs5 ft11NoNoN/ANoNo12025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Jeremy SmithRangers (NYR)G371989-04-13USAYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Joni OrtioRangers (NYR)G351991-04-16FINYes187 Lbs6 ft1NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$--------2,000,000$--------No--------
Juuso RiikolaRangers (NYR)D321993-11-09FINYes189 Lbs6 ft0NoNoTrade2024-12-22NoNo22024-09-08FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Jérémy DaviesRangers (NYR)D291996-12-04CANYes181 Lbs5 ft11NoNoN/ANoNo22024-09-08FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Kieffer BellowsRangers (NYR)LW271998-06-10USAYes195 Lbs6 ft1NoNoTrade2024-03-30NoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Kurtis MacDermidRangers (NYR)D321994-03-25CANYes233 Lbs6 ft5NoNoN/ANoNo22024-09-08FalseFalsePro & Farm1,000,000$5,102$0$0$No1,000,000$-----------------No--------
Lane HutsonRangers (NYR)D222004-02-14USAYes162 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-06FalseFalsePro & Farm950,000$4,847$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Lawson CrouseRangers (NYR)RW281997-06-23CANYes215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Mark McNeillRangers (NYR)RW331993-02-22CANYes217 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Matt RempeRangers (NYR)RW232002-06-29CANYes255 Lbs6 ft9NoNoAssign ManuallyNoNo22024-08-26FalseFalsePro & Farm820,000$4,184$0$0$No820,000$--------820,000$--------No--------
Maxime LagacéRangers (NYR)G331993-01-12CANYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,592$0$0$No---------------------------
Mikael PyyhtiaRangers (NYR)LW242001-12-17FINYes176 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-05FalseFalsePro & Farm897,500$4,579$0$0$No897,500$897,500$-------897,500$897,500$-------NoNo-------
Morgan BarronRangers (NYR)C271998-12-02CANYes220 Lbs6 ft4NoNoN/ANoNo32025-08-09FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Nick DeSimoneRangers (NYR)D311994-11-21USAYes185 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm762,500$3,890$0$0$No762,500$--------762,500$--------No--------
Nico DawsRangers (NYR)G252000-12-22DEUYes205 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm850,333$4,338$0$0$No850,333$--------850,333$--------No--------
Noah GregorRangers (NYR)RW271998-07-28CANNo201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,592$0$0$No---------------------------
Ryan SheaRangers (NYR)D291997-02-11USAYes220 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm775,000$3,954$0$0$No775,000$--------775,000$--------No--------
Tim GettingerRangers (NYR)LW281998-04-14USAYes220 Lbs6 ft6NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Valentin ZykovRangers (NYR)LW301995-05-15RUSYes220 Lbs6 ft0NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Yannick WeberRangers (NYR)D371988-09-23SUINo202 Lbs5 ft11NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Yohann AuvituRangers (NYR)D361989-07-27FRAYes193 Lbs5 ft11NoNoFree AgentNoNo32025-09-14FalseFalsePro & Farm1,000,000$5,102$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Zach DeanRangers (NYR)C232003-01-04CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm852,500$4,349$0$0$No852,500$--------852,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4029.08199 Lbs6 ft11.93964,613$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntBlake LizotteLawson Crouse35122
2Janne KuokkanenMorgan BarronNoah Gregor35122
3Mikael PyyhtiaDavid GustafssonMatt Rempe25122
4Brett BerardAdam EdstromMark McNeill5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLane Hutson35122
2Yannick WeberBrandon Gormley35122
3Yohann AuvituKurtis MacDermid30122
4Alexander RomanovLane Hutson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntBlake LizotteLawson Crouse60122
2Janne KuokkanenMorgan BarronNoah Gregor40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLane Hutson60122
2Yannick WeberBrandon Gormley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lawson CrouseBlake Lizotte60122
2Morgan BarronDryden Hunt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLane Hutson60122
2Yannick WeberBrandon Gormley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lawson Crouse60122Alexander RomanovLane Hutson60122
2Blake Lizotte40122Yannick WeberBrandon Gormley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lawson CrouseBlake Lizotte60122
2Morgan BarronDryden Hunt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovLane Hutson60122
2Yannick WeberBrandon Gormley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntBlake LizotteLawson CrouseAlexander RomanovLane Hutson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntBlake LizotteLawson CrouseAlexander RomanovLane Hutson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Gustafsson, Mikael Pyyhtia, Adam EdstromDavid Gustafsson, Mikael PyyhtiaAdam Edstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yohann Auvitu, Kurtis MacDermid, Yannick WeberYohann AuvituKurtis MacDermid, Yannick Weber
Tirs de pénalité
Lawson Crouse, Blake Lizotte, Morgan Barron, Dryden Hunt, Noah Gregor
Gardien
#1 : Joni Ortio, #2 : Maxime Lagacé
Lignes d’attaque personnalisées en prolongation
Lawson Crouse, Blake Lizotte, Morgan Barron, Dryden Hunt, Noah Gregor, Janne Kuokkanen, David Gustafsson, Mikael Pyyhtia, Adam Edstrom, Matt Rempe
Lignes de défense personnalisées en prolongation
Alexander Romanov, Lane Hutson, Yannick Weber, Brandon Gormley, Yohann Auvitu


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
TotalDomicile Visiteur
# 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 RI
1Avalanche2020000048-41010000014-31010000034-100.0004812006386901271824934828416421054100.00%000%01017199451.00%969199048.69%580117349.45%1802106917767131386696
2Blackhawks20200000411-71010000025-31010000026-400.000471100638690127282493482841792664511100.00%3166.67%01017199451.00%969199048.69%580117349.45%1802106917767131386696
3Blues22000000624110000003121100000031241.0006814006386901267824934828417119650300.00%30100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
4Bruins522010001715221001000743312000001011-160.600172946006386901214882493482841172443312914214.29%9366.67%01017199451.00%969199048.69%580117349.45%1802106917767131386696R2
5Canadiens41300000141402110000011832020000036-320.25014233700638690121108249348284114363319813538.46%13192.31%01017199451.00%969199048.69%580117349.45%1802106917767131386696R2
6Canucks21100000440110000003211010000012-120.50047110063869012648249348284160111233100.00%60100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
7Capitals7600000125151044000000167932000001981130.929254267006386901222082493482841212757518730826.67%20290.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696R5
8Devils6310200021174320010001165311010001011-1100.8332138590063869012167824934828412014710914620525.00%220100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
9Ducks21001000972110000004311000100054141.000917260063869012778249348284158192405240.00%10100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
10Flames200002001012-21000010067-11000010045-120.50010162600638690125982493482841792110436350.00%5180.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
11Flyers613001011618-23110010098130200001710-340.333162945006386901218982493482841198504317316425.00%19289.47%11017199451.00%969199048.69%580117349.45%1802106917767131386696R5
12Islanders715010001823-530300000512-7412010001311240.286182745006386901223282493482841197666122636513.89%23578.26%01017199451.00%969199048.69%580117349.45%1802106917767131386696R5
13Kings22000000642110000003211100000032141.00061016006386901263824934828416622240100.00%10100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
14Maple Leafs430000011394210000015412200000085370.875132134016386901213282493482841130522711714321.43%100100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696R2
15Oilers2020000047-31010000012-11010000035-200.00047110063869012558249348284164181169300.00%3166.67%01017199451.00%969199048.69%580117349.45%1802106917767131386696
16Penguins614000101320-7311000101010030300000310-740.333132336006386901217182493482841190635317118316.67%24291.67%11017199451.00%969199048.69%580117349.45%1802106917767131386696R5
17Predators22000000725110000003121100000041341.00071320006386901269824934828416723642600.00%30100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
18Red Wings412000101216-42010001066021100000610-440.5001218300063869012125824934828411253910909111.11%5180.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696R2
19Sabres523000001417-331200000910-12110000057-240.400142741006386901217282493482841153482312913323.08%9188.89%01017199451.00%969199048.69%580117349.45%1802106917767131386696
20Senateurs42101000171522110000077021001000108260.75017274400638690121458249348284112747239412541.67%9277.78%01017199451.00%969199048.69%580117349.45%1802106917767131386696R2
21Sharks201010005501010000023-11000100032120.5005914006386901273824934828417633441000%20100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
22Stars2110000057-21010000036-31100000021120.5005813006386901269824934828416123639300.00%30100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
23Wild2010100056-11010000024-21000100032120.50058131063869012558249348284163262496116.67%10100.00%01017199451.00%969199048.69%580117349.45%1802106917767131386696
Total82323408323249254-541181602221129122741141806102120132-12900.5492494226711163869012260582493482841265685655521052315122.08%1942288.66%21017199451.00%969199048.69%580117349.45%1802106917767131386696
_Since Last GM Reset82323408323249254-541181602221129122741141806102120132-12900.5492494226711163869012260582493482841265685655521052315122.08%1942288.66%21017199451.00%969199048.69%580117349.45%1802106917767131386696
_Vs Conference58232405123180179129131002121968214291014030028497-13640.5521803044840163869012181182493482841184859448815601954422.56%1631988.34%21017199451.00%969199048.69%580117349.45%1802106917767131386696
_Vs Division3212130311293930168501110514381648020024250-8350.547931592520063869012979824934828419983013419031202520.83%1081189.81%21017199451.00%969199048.69%580117349.45%1802106917767131386696

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W224942267126052656856555210511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8232348323249254
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118162221129122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114186102120132
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2315122.08%1942288.66%2
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
8249348284163869012
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
1017199451.00%969199048.69%580117349.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1802106917767131386696


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
12Capitals2Rangers3WR5Sommaire du match
27Rangers3Islanders4LSommaire du match
523Rangers6Bruins3WR2Sommaire du match
732Rangers4Islanders1WSommaire du match
944Islanders4Rangers1LR5Sommaire du match
1259Capitals1Rangers5WR5Sommaire du match
1364Rangers1Penguins4LR5Sommaire du match
1884Penguins2Rangers4WSommaire du match
21103Rangers2Flyers3LXXR5Sommaire du match
24113Flyers1Rangers6WSommaire du match
27127Devils3Rangers4WXR5Sommaire du match
29141Rangers3Capitals2WR5Sommaire du match
30144Rangers2Devils6LSommaire du match
33160Sabres1Rangers4WR2Sommaire du match
35172Rangers1Penguins4LR5Sommaire du match
37183Devils1Rangers3WSommaire du match
41199Sabres4Rangers3LR2Sommaire du match
43215Rangers1Penguins2LR5Sommaire du match
45224Kings2Rangers3WSommaire du match
47236Rangers4Flames5LXSommaire du match
49245Rangers2Blackhawks6LSommaire du match
51255Devils2Rangers4WR5Sommaire du match
55273Flames7Rangers6LXSommaire du match
57281Rangers3Wild2WXSommaire du match
59293Rangers5Ducks4WXSommaire du match
60300Rangers3Oilers5LSommaire du match
62308Blues1Rangers3WSommaire du match
64324Blackhawks5Rangers2LSommaire du match
67340Rangers2Stars1WSommaire du match
68349Senateurs6Rangers5LR2Sommaire du match
73370Bruins2Rangers3WXSommaire du match
75377Rangers1Bruins3LR2Sommaire du match
77391Oilers2Rangers1LSommaire du match
80403Rangers1Canucks2LSommaire du match
82413Rangers3Blues1WSommaire du match
83423Avalanche4Rangers1LSommaire du match
87438Rangers4Predators1WSommaire du match
89448Penguins5Rangers2LR5Sommaire du match
93464Capitals2Rangers5WSommaire du match
97485Capitals2Rangers3WR5Sommaire du match
100497Rangers1Sabres5LSommaire du match
102508Rangers1Red Wings7LR2Sommaire du match
103515Senateurs1Rangers2WSommaire du match
105531Rangers5Red Wings3WR2Sommaire du match
107541Sabres5Rangers2LSommaire du match
109557Predators1Rangers3WSommaire du match
111567Rangers2Islanders3LR5Sommaire du match
113579Rangers3Avalanche4LSommaire du match
114586Wild4Rangers2LSommaire du match
117600Rangers5Devils3WR5Sommaire du match
120610Red Wings2Rangers1LR2Sommaire du match
122623Rangers3Devils2WXSommaire du match
124633Canucks2Rangers3WSommaire du match
126644Rangers4Sabres2WR2Sommaire du match
129657Islanders5Rangers2LSommaire du match
130667Rangers3Kings2WSommaire du match
133682Islanders3Rangers2LR5Sommaire du match
137701Stars6Rangers3LSommaire du match
139706Rangers2Flyers3LR5Sommaire du match
142724Rangers3Sharks2WXSommaire du match
143731Ducks3Rangers4WSommaire du match
146748Bruins2Rangers4WR2Sommaire du match
148757Rangers4Islanders3WXSommaire du match
150769Rangers1Canadiens3LR2Sommaire du match
151776Canadiens5Rangers4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153785Rangers2Capitals3LXXR5Sommaire du match
155793Rangers2Canadiens3LR2Sommaire du match
156803Canadiens3Rangers7WSommaire du match
160824Red Wings4Rangers5WXXR2Sommaire du match
161829Rangers3Maple Leafs1WSommaire du match
163838Rangers4Capitals3WR5Sommaire du match
164847Rangers5Maple Leafs4WSommaire du match
167859Flyers5Rangers2LR5Sommaire du match
169870Rangers3Flyers4LSommaire du match
171879Sharks3Rangers2LSommaire du match
174898Flyers2Rangers1LXR5Sommaire du match
176905Rangers5Senateurs4WXR2Sommaire du match
180921Maple Leafs4Rangers3LXXR2Sommaire du match
181932Rangers5Senateurs4WSommaire du match
185946Rangers3Bruins5LR2Sommaire du match
187960Maple Leafs0Rangers2WR2Sommaire du match
193980Penguins3Rangers4WXXR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance80,38140,221
Assistance PCT98.03%98.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2942 - 98.05% 125,743$5,155,462$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,745,542$ 3,858,450$ 3,858,450$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,755,757$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 29,890$ 29,890$




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