Connexion

Rangers
GP: 17 | W: 11 | L: 4 | OTL: 2 | P: 24
GF: 54 | GA: 53 | PP%: 26.92% | PK%: 83.33%
DG: Andreas Matsoukas | Morale : 50 | Moyenne d’équipe : N/A
#199 vs Blackhawks
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Centre de jeu
Ducks
12-3-2, 26pts
1
FINAL
2 Rangers
11-4-2, 24pts
Team Stats
W1SéquenceW3
8-1-0Fiche domicile4-4-1
4-2-2Fiche visiteur7-0-1
8-1-1Derniers 10 matchs6-3-1
3.24Buts par match 3.18
1.76Buts contre par match 3.12
17.02%Pourcentage en avantage numérique26.92%
93.48%Pourcentage en désavantage numérique83.33%
Rangers
11-4-2, 24pts
2
FINAL
1 Flames
7-9-2, 16pts
Team Stats
W3SéquenceOTL1
4-4-1Fiche domicile3-5-1
7-0-1Fiche visiteur4-4-1
6-3-1Derniers 10 matchs4-5-1
3.18Buts par match 2.67
3.12Buts contre par match 2.94
26.92%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique87.30%
Rangers
11-4-2, 24pts
Jour 35
Blackhawks
11-5-1, 23pts
Statistiques d’équipe
W3SéquenceW1
4-4-1Fiche domicile7-1-1
7-0-1Fiche visiteur4-4-0
6-3-110 derniers matchs6-4-0
3.18Buts par match 2.76
3.12Buts contre par match 2.76
26.92%Pourcentage en avantage numérique12.90%
83.33%Pourcentage en désavantage numérique81.82%
Golden Knights
9-7-2, 20pts
Jour 36
Rangers
11-4-2, 24pts
Statistiques d’équipe
W1SéquenceW3
4-3-1Fiche domicile4-4-1
5-4-1Fiche visiteur7-0-1
6-3-110 derniers matchs6-3-1
3.06Buts par match 3.18
2.89Buts contre par match 3.18
20.29%Pourcentage en avantage numérique26.92%
86.76%Pourcentage en désavantage numérique83.33%
Maple Leafs
10-7-0, 20pts
Jour 38
Rangers
11-4-2, 24pts
Statistiques d’équipe
W1SéquenceW3
7-2-0Fiche domicile4-4-1
3-5-0Fiche visiteur7-0-1
5-5-010 derniers matchs6-3-1
3.59Buts par match 3.18
3.35Buts contre par match 3.18
27.45%Pourcentage en avantage numérique26.92%
87.50%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Tage Thompson
11
Passes
Jake DeBrusk
13
Points
Tage Thompson
18
Plus/Moins
Tage Thompson
3
Victoires
Igor Shesterkin
11
Pourcentage d’arrêts
Igor Shesterkin
0.909

Statistiques d’équipe
Buts pour
54
3.18 GFG
Tirs pour
564
33.18 Avg
Pourcentage en avantage numérique
26.9%
14 GF
Début de zone offensive
41.1%
Buts contre
53
3.12 GAA
Tirs contre
565
33.24 Avg
Pourcentage en désavantage numérique
83.3%%
8 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralAndreas Matsoukas
EntraîneurMike Sullivan
DivisionMetropolitain
ConférenceEast
CapitaineEvgeni Malkin
Assistant #1Drew Doughty
Assistant #2Patrick Kane


Informations de l’aréna

NomMadison Square Garden
Capacité19,500
Assistance16,229
Billets de saison11,700


Informations de la formation

Équipe Pro20
Équipe Mineure28
Limite contact 48 / 60
Espoirs16


Plafond salarial

Cap Salarial de la Saison estimé93,417,042$
Plafond salarial disponible82,958$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour32,700,182$
Dépenses annuelles à ce jour20,395,559$
Revenus de la saison estimés116,267,314$
Dépenses de la saison estimées76,283,062$
Compte bancaire actuel70,473,190$
Compte bancaire projeté107,307,890$


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
1Kaapo Kakko0X100.006142968474708068317273696364657250002232,100,000$
2Evgeni Malkin (C)0X100.006742728574797996818984656587958150003729,500,000$
3J.T. Miller0XXX100.009079798880859875928788907877818850003045,250,000$
4Jaden Schwartz0X100.0071429083687671794972816625768076500N03135,500,000$
5Jack Hughes0X100.005940978763848185619095646364648550002238,000,000$
6Isac Lundestrom0XX100.00614198827067885978635883256363675000233874,125$
7Mikael Granlund0XX100.007543918766779778607964746776797450003113,750,000$
8Patrick Kane (A)0X100.0059409293638193864482806072898978500034110,500,000$
9Gabriel Vilardi0XX100.00694290777072818146748664576061785000244825,000$
10Zach Parise0X100.0076439081707399683663778072919676500N03932,400,000$
11Jake DeBrusk0XX100.007844918268748886327889726368728350002633,675,000$
12Tage Thompson0XX100.006954858384799589768696677565658650002511,400,000$
13John Marino0X100.006942908268829058255648922564656650002644,400,000$
14Drew Doughty (A)0X100.0079448788749777862573518547888872500033111,000,000$
15Neal Pionk0X100.008658848569859672256253827567686950002823,000,000$
16Kevin Shattenkirk0X100.0076447985747896762564488373828267500N03433,926,250$
17Darnell Nurse0X100.008359788983889466256858936373757450002825,600,000$
18Jaccob Slavin0X100.006542968977859558256050915373766750002915,300,000$
Rayé
Équipe Mineure
1Yegor Sharangovich0XXX100.00614192817368935838687077756363725000251925,000$
2Alexander Kerfoot0XX99.006942888366689967457262827571737150002923,500,000$
3Nolan Foote (R)0X100.00777485767475786350566566624545665000223863,333$
4Derick Brassard0XX100.0080448581746271766563726773868771500N0351750,000$
5Rudolfs Balcers0XX100.006341918064567359256171602561616850002631,550,000$
6Kevin Stenlund0XX100.0067438871806276678756608525585866500N0263850,000$
7Logan Brown0XX100.00694491738557636260615858755656625000251750,000$
8Trevor Lewis0XX100.0084459278746298585461607545818667500N03611,000,000$
9Rem Pitlick0XXX100.006542857570648264426564698058586750002611,100,000$
10Jakub Vrana0X99.006742878671685675346590625366667750002723,350,000$
11Brendan Lemieux0XX100.009499568380566559456356627565666350002721,550,000$
12Jon Merrill0X100.00674284767467885825514878256263615000311937,500$
13Ethan Bear0X100.006752878571767761255548822566676350002622,000,000$
14Jack Johnson0X100.0079458974817896582546478861888963500N03631,000,000$
15Adam Boqvist0X100.006541948464776685256951652561616650002342,600,000$
16William Borgen0X100.00906883757570766025554884255959655000264900,000$
17Zach Whitecloud0X100.008056807577717656255049862562646450002622,750,000$
18Connor Brown0XX73.8477688581685356717973637942707055500N02923,600,000$
19Bobby Brink (R)0X100.006758887358514963506062605944446350002231,137,500$
20Curtis Douglas (R)0X100.00789442639474815063455163484444565000233837,500$
21Matej Pekar (R)0XX100.00736493656451524961484460424444535000231913,333$
22Alexander Kisakov (R)0X100.0065568763566468495041515648444454500N0213925,000$
23Aleksi Heponiemi0XX100.00665593725579846278625860554646645000244750,000$
24Logan Stanley0X100.00888070738563595525494879255758615000251900,000$
25Jacob Bryson0X100.00674295766565835825514775256161615000251925,000$
MOYENNE D’ÉQUIPE100.0072478885728089764673717759747676500
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
1Connor Ingram (R)0100.0072726876766880717772684647735000262750,000$
2Igor Shesterkin099.00858581768584908585858760628550002735,666,667$
Rayé
Équipe Mineure
1Zach Sawchenko (R)0100.005057717048515055505030444451500N0251750,000$
2Dylan Ferguson (R)0100.005543547360565460585730444455500N0243750,000$
3Aaron Dell0100.0050526574495250555151305959525000342750,000$
MOYENNE D’ÉQUIPE99.507979757681768578817978535579500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan86848780837668USA5623,500,000$


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
1Tage ThompsonRangersC/RW171171830091967102616.42%033719.8721310420001155143.62%9400001.0701000212
2Jake DeBruskRangersLW/RW174131718016236219356.45%329917.61167939000001035.71%1400001.1400000020
3Evgeni MalkinRangersC1761016320272453104211.32%330718.11224839000050053.32%39200001.0401000022
4Jack HughesRangersC1749130409306919525.80%131218.401341945000010038.53%35300000.8300000111
5Drew DoughtyRangersD171111211205019337153.03%1840323.711341748000013000%000000.6000000101
6J.T. MillerRangersC/LW/RW178412-8175524859124213.56%331518.5421312460000311053.44%45100000.7601001010
7Patrick KaneRangersRW175510020102144173811.36%331418.522241148000010034.78%2300000.6400000101
8Kevin ShattenkirkRangersD17358-101202016196715.79%530517.95224103800007000%000000.5200000000
9Gabriel VilardiRangersC/RW17167-6006112911363.45%125815.20134536000001038.46%2600000.5400000001
10Jaden SchwartzRangersLW1651616023123151416.13%324715.4800001000001020.00%1500000.4800000110
11Mikael GranlundRangersC/RW1724612014221341215.38%21659.71011070111380045.93%17200000.7300000110
12John MarinoRangersD14145320514125158.33%1524617.6200000101133000%000000.4100000000
13Neal PionkRangersD1705523353714127170%2032419.09022436000034000%000000.3100001001
14Zach PariseRangersLW17325-54013142372013.04%227115.97000030111362035.29%1700000.3700000000
15Jaccob SlavinRangersD1704412091511390%2837321.9701102000038000%000000.2100000000
16Kaapo KakkoRangersRW17123-1005598111.11%01016.0000000000040033.33%600000.5900000001
17Darnell NurseRangersD16033-61003819105130%1928717.9700003000031000%000000.2100000000
18William BorgenWolf Pack (NYR)D3022120910110%55016.870000000006000%000000.7900000000
19Isac LundestromRangersC/LW17011-1205612090%11317.76000000001350047.83%2300000.1500000000
20Yegor SharangovichWolf Pack (NYR)C/LW/RW1000000000100%066.18000000000000100.00%10000000000000
21Derick BrassardWolf Pack (NYR)C/LW1000-100000010%099.350000000002000%00000000000000
22Jack JohnsonWolf Pack (NYR)D1000-100323000%01616.580000000002000%00000000000000
23Jakub VranaWolf Pack (NYR)LW1000000112010%01212.530000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne3085598153-22120103613365731574069.60%132510016.56142741105440123534111147.39%158700000.60030027910
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
1Igor ShesterkinRangers1611410.9092.9194900465080000.5002161500
2Connor IngramRangers20010.8954.50800065700000116000
Statistiques d’équipe totales ou en moyenne1811420.9083.031030005256500021717500


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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 10Lien
Connor IngramRangersG261997-03-30Yes212 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$750,000$590,323$No750,000$Lien
Darnell NurseRangersD281995-02-04No221 Lbs6 ft4NoNoNoNo2Pro & Farm5,600,000$4,407,742$5,600,000$4,407,742$5,600,000$4,407,742$No5,600,000$Lien
Drew DoughtyRangersD331989-12-08No202 Lbs6 ft1NoNoNoNo1Pro & Farm11,000,000$8,658,065$11,000,000$8,658,065$11,000,000$8,658,065$NoLien
Evgeni MalkinRangersC371986-07-31No195 Lbs6 ft3NoNoNoNo2Pro & Farm9,500,000$7,477,419$9,500,000$7,477,419$9,500,000$7,477,419$No9,500,000$Lien
Gabriel VilardiRangersC/RW241999-08-16No185 Lbs6 ft2NoNoNoNo4Pro & Farm825,000$649,355$825,000$649,355$825,000$649,355$No825,000$825,000$825,000$Lien
Igor ShesterkinRangersG271995-12-30No192 Lbs6 ft2NoNoNoNo3Pro & Farm5,666,667$4,460,215$5,666,667$4,460,215$5,666,667$4,460,215$No5,666,667$5,666,667$Lien
Isac LundestromRangersC/LW231999-11-06No191 Lbs6 ft0NoNoNoNo3Pro & Farm874,125$688,021$874,125$688,021$874,125$688,021$No874,125$874,125$Lien
J.T. MillerRangersC/LW/RW301993-03-14No218 Lbs6 ft1NoNoNoNo4Pro & Farm5,250,000$4,132,258$5,250,000$4,132,258$5,250,000$4,132,258$No5,250,000$5,250,000$5,250,000$Lien
Jaccob SlavinRangersD291994-05-01No207 Lbs6 ft3NoNoNoNo1Pro & Farm5,300,000$4,171,613$5,300,000$4,171,613$5,300,000$4,171,613$NoLien
Jack HughesRangersC222001-05-14No170 Lbs5 ft11NoNoNoNo3Pro & Farm8,000,000$6,296,774$8,000,000$6,296,774$8,000,000$6,296,774$No8,000,000$8,000,000$Lien
Jaden SchwartzRangersLW311992-06-25No190 Lbs5 ft10YesNoNoNo3Pro & Farm5,500,000$4,329,032$5,500,000$4,329,032$5,500,000$4,329,032$No5,500,000$5,500,000$Lien
Jake DeBruskRangersLW/RW261996-10-17No188 Lbs6 ft0NoNoNoNo3Pro & Farm3,675,000$2,892,581$3,675,000$2,892,581$3,675,000$2,892,581$No3,675,000$3,675,000$Lien
John MarinoRangersD261997-05-21No181 Lbs6 ft1NoNoNoNo4Pro & Farm4,400,000$3,463,226$4,400,000$3,463,226$4,400,000$3,463,226$No4,400,000$4,400,000$4,400,000$Lien
Kaapo KakkoRangersRW222001-02-13No199 Lbs6 ft3NoNoNoNo3Pro & Farm2,100,000$1,652,903$2,100,000$1,652,903$2,100,000$1,652,903$No2,100,000$2,100,000$Lien
Kevin ShattenkirkRangersD341989-01-29No207 Lbs6 ft0YesNoNoNo3Pro & Farm3,926,250$3,090,339$3,926,250$3,090,339$3,926,250$3,090,339$No3,926,250$3,926,250$Lien
Mikael GranlundRangersC/RW311992-02-26No185 Lbs5 ft10NoNoNoNo1Pro & Farm3,750,000$2,951,613$3,750,000$2,951,613$3,750,000$2,951,613$NoLien
Neal PionkRangersD281995-07-29No186 Lbs6 ft0NoNoNoNo2Pro & Farm3,000,000$2,361,290$3,000,000$2,361,290$3,000,000$2,361,290$No3,000,000$Lien
Patrick KaneRangersRW341988-11-19No177 Lbs5 ft10NoNoNoNo1Pro & Farm10,500,000$8,264,516$10,500,000$8,264,516$10,500,000$8,264,516$NoLien
Tage ThompsonRangersC/RW251997-10-30No215 Lbs6 ft6NoNoNoNo1Pro & Farm1,400,000$1,101,935$1,400,000$1,101,935$1,400,000$1,101,935$NoLien
Zach PariseRangersLW391984-07-28No195 Lbs5 ft11YesNoNoNo3Pro & Farm2,400,000$1,889,032$2,400,000$1,889,032$2,400,000$1,889,032$No2,400,000$2,400,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.75196 Lbs6 ft12.454,670,852$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
93,417,042$61,467,042$42,617,042$10,475,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaden SchwartzJack HughesPatrick Kane33014
2Jake DeBruskEvgeni MalkinTage Thompson33014
3Zach PariseJ.T. MillerGabriel Vilardi29122
4Isac LundestromMikael GranlundKaapo Kakko5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinDrew Doughty40032
2Darnell NurseKevin Shattenkirk30041
3Neal PionkJohn Marino30032
4Drew DoughtyJaccob Slavin0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesJ.T. MillerTage Thompson60005
2Jake DeBruskEvgeni MalkinGabriel Vilardi40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew DoughtyPatrick Kane60014
2Kevin ShattenkirkNeal Pionk40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1J.T. MillerIsac Lundestrom50140
2Mikael GranlundZach Parise50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinDarnell Nurse50140
2John MarinoNeal Pionk50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Granlund50140Jaccob SlavinDarnell Nurse60140
2Isac Lundestrom50140John MarinoNeal Pionk40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1J.T. MillerTage Thompson50023
2Jack HughesPatrick Kane50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinDrew Doughty50032
2Neal PionkKevin Shattenkirk50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. MillerEvgeni MalkinTage ThompsonDrew DoughtyJack Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseJ.T. MillerMikael GranlundDarnell NurseJaccob Slavin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeni Malkin, Tage Thompson, J.T. MillerJaden Schwartz, Zach PariseTage Thompson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Drew Doughty, Jaccob Slavin, Darnell NurseJaccob SlavinDrew Doughty, Kevin Shattenkirk
Tirs de pénalité
J.T. Miller, Tage Thompson, Evgeni Malkin, Jack Hughes, Patrick Kane
Gardien
#1 : Igor Shesterkin, #2 : Connor Ingram
Lignes d’attaque personnalisées en prolongation
J.T. Miller, Tage Thompson, Jack Hughes, Evgeni Malkin, Jake DeBrusk, Gabriel Vilardi, Gabriel Vilardi, Patrick Kane, Jaden Schwartz, Zach Parise, Mikael Granlund
Lignes de défense personnalisées en prolongation
Drew Doughty, Jaccob Slavin, Darnell Nurse, Kevin Shattenkirk, Neal Pionk


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
1Blackhawks2010010079-22010010079-20000000000010.25071320001330771726340751114478450.00%7271.43%030462448.72%28060746.13%14028748.78%493448132412
2Blue Jackets32100000101001010000015-42200000095440.667101828004150903218400882120699222.22%10280.00%030462448.72%28060746.13%14028748.78%714869223819
3Ducks11000000211110000002110000000000021.000246001100411117130236231400.00%10100.00%030462448.72%28060746.13%14028748.78%2417218136
4Flames10001000211000000000001000100021121.0002350010013791312335106193133.33%30100.00%030462448.72%28060746.13%14028748.78%2820236116
5Flyers22000000954110000005411100000041341.00091625006210753023220612414467457.14%6183.33%030462448.72%28060746.13%14028748.78%483446142412
6Islanders411010011015-521100000510-52000100155050.62510182800225111427384661413120811218.33%9366.67%030462448.72%28060746.13%14028748.78%986997295025
7Lightning1010000025-31010000025-30000000000000.00024600020025101140318914300.00%20100.00%030462448.72%28060746.13%14028748.78%2618216126
8Penguins22000000743110000003211100000042241.00071219003220732925190821927393266.67%60100.00%030462448.72%28060746.13%14028748.78%423052132512
9Sharks11000000532000000000001100000053221.000591400302032126140292815300.00%40100.00%130462448.72%28060746.13%14028748.78%2417226127
Total17940210154531944001002536-1185002001291712240.70654971510021131825641771772049565132120361521426.92%48883.33%130462448.72%28060746.13%14028748.78%415290402121213108
_Since Last GM Reset17940210154531944001002536-1185002001291712240.70654971510021131825641771772049565132120361521426.92%48883.33%130462448.72%28060746.13%14028748.78%415290402121213108
_Vs Conference1273010013839-1633000001626-106400100122139170.70838681060015913137712811513164031039024934926.47%33681.82%030462448.72%28060746.13%14028748.78%2882012868615076
_Vs Division11720100136342532000001421-76400100122139170.7733664100001571313521181041276372958123531929.03%31680.65%030462448.72%28060746.13%14028748.78%2611822657913869

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1724W3549715156456513212036100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
179421015453
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94401002536
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85020012917
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
521426.92%48883.33%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
17717720492113182
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
30462448.72%28060746.13%14028748.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
415290402121213108


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
39Blackhawks4Rangers3BLSommaire du match
623Islanders3Rangers4BWSommaire du match
829Rangers5Blue Jackets3AWSommaire du match
937Rangers2Islanders3ALXXSommaire du match
1154Penguins2Rangers3BWSommaire du match
1367Flyers4Rangers5BWSommaire du match
1577Rangers4Flyers1AWSommaire du match
1683Rangers3Islanders2AWXSommaire du match
1896Blue Jackets5Rangers1BLSommaire du match
20110Rangers4Penguins2AWSommaire du match
21118Blackhawks5Rangers4BLXSommaire du match
24134Lightning5Rangers2BLSommaire du match
26148Rangers4Blue Jackets2AWSommaire du match
28157Islanders7Rangers1BLSommaire du match
30170Rangers5Sharks3AWSommaire du match
31179Ducks1Rangers2BWSommaire du match
33190Rangers2Flames1AWXSommaire du match
35199Rangers-Blackhawks-
36208Golden Knights-Rangers-
38220Maple Leafs-Rangers-
41237Rangers-Red Wings-
42242Rangers-Maple Leafs-
43251Blues-Rangers-
45264Rangers-Senators-
46272Bruins-Rangers-
48287Blackhawks-Rangers-
51300Rangers-Avalanche-
52312Kings-Rangers-
53316Rangers-Penguins-
56332Stars-Rangers-
57341Rangers-Blues-
61354Avalanche-Rangers-
62365Rangers-Islanders-
65375Blackhawks-Rangers-
66385Rangers-Canadiens-
68400Penguins-Rangers-
70410Rangers-Kings-
72421Rangers-Blue Jackets-
73430Penguins-Rangers-
75442Canadiens-Rangers-
77456Rangers-Stars-
78465Rangers-Red Wings-
80472Red Wings-Rangers-
81482Rangers-Senators-
84495Lightning-Rangers-
86506Rangers-Stars-
87514Rangers-Sharks-
89522Maple Leafs-Rangers-
92534Rangers-Flyers-
93544Senators-Rangers-
95556Lightning-Rangers-
97575Oilers-Rangers-
99582Rangers-Maple Leafs-
100590Rangers-Islanders-
102602Islanders-Rangers-
103610Rangers-Lightning-
105623Islanders-Rangers-
107633Rangers-Lightning-
110647Blue Jackets-Rangers-
111657Rangers-Oilers-
113668Rangers-Canadiens-
115676Senators-Rangers-
117691Bruins-Rangers-
118699Rangers-Jets-
120712Blue Jackets-Rangers-
122727Rangers-Ducks-
123733Rangers-Penguins-
124741Flames-Rangers-
127756Rangers-Canadiens-
128764Sharks-Rangers-
131778Canadiens-Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
133793Rangers-Ducks-
134797Rangers-Flyers-
135807Jets-Rangers-
138821Red Wings-Rangers-
139826Rangers-Kings-
144847Ducks-Rangers-
145853Rangers-Bruins-
147869Flyers-Rangers-
148876Rangers-Golden Knights-
151888Flyers-Rangers-
152894Rangers-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité77444250225042561000
Prix des billets1801359065360
Assistance54,20238,25020,06226,7756,776
Attendance PCT77.77%100.00%99.07%69.90%75.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 16229 - 83.23% 3,633,354$32,700,182$19500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
20,395,559$ 93,417,042$ 93,417,042$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
93,417,042$ 19,650,411$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
116,267,314$ 122 625,271$ 76,283,062$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
79,432,614$ 70,473,190$ 107,307,890$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
93,417,042$ 82,958$ 93,500,000$ 23,417,042$



Charte de profondeur

Ailier gaucheCentreAilier droit
J.T. MillerAGE:30PO:88OV:0
Jake DeBruskAGE:26PO:83OV:0
Jakub VranaAGE:27PO:77OV:0
Jaden SchwartzAGE:31PO:76OV:0
Zach PariseAGE:39PO:76OV:0
Yegor SharangovichAGE:25PO:72OV:0
Alexander KerfootAGE:29PO:71OV:0
Derick BrassardAGE:35PO:71OV:0
Rudolfs BalcersAGE:26PO:68OV:0
Isac LundestromAGE:23PO:67OV:0
Rem PitlickAGE:26PO:67OV:0
Nolan Foote (R)AGE:22PO:66OV:0
Aleksi HeponiemiAGE:24PO:64OV:0
Brendan LemieuxAGE:27PO:63OV:0
Logan BrownAGE:25PO:62OV:0
Connor BrownAGE:29PO:55OV:0
Alexander Kisakov (R)AGE:21PO:54OV:0
J.T. MillerAGE:30PO:88OV:0
Tage ThompsonAGE:25PO:86OV:0
Jack HughesAGE:22PO:85OV:0
Evgeni MalkinAGE:37PO:81OV:0
Gabriel VilardiAGE:24PO:78OV:0
Mikael GranlundAGE:31PO:74OV:0
Yegor SharangovichAGE:25PO:72OV:0
Derick BrassardAGE:35PO:71OV:0
Isac LundestromAGE:23PO:67OV:0
Trevor LewisAGE:36PO:67OV:0
Rem PitlickAGE:26PO:67OV:0
Kevin StenlundAGE:26PO:66OV:0
Aleksi HeponiemiAGE:24PO:64OV:0
Logan BrownAGE:25PO:62OV:0
Curtis Douglas (R)AGE:23PO:56OV:0
Matej Pekar (R)AGE:23PO:53OV:0
J.T. MillerAGE:30PO:88OV:0
Tage ThompsonAGE:25PO:86OV:0
Jake DeBruskAGE:26PO:83OV:0
Patrick KaneAGE:34PO:78OV:0
Gabriel VilardiAGE:24PO:78OV:0
Mikael GranlundAGE:31PO:74OV:0
Yegor SharangovichAGE:25PO:72OV:0
Kaapo KakkoAGE:22PO:72OV:0
Alexander KerfootAGE:29PO:71OV:0
Rudolfs BalcersAGE:26PO:68OV:0
Trevor LewisAGE:36PO:67OV:0
Rem PitlickAGE:26PO:67OV:0
Kevin StenlundAGE:26PO:66OV:0
Bobby Brink (R)AGE:22PO:63OV:0
Brendan LemieuxAGE:27PO:63OV:0
Connor BrownAGE:29PO:55OV:0
Matej Pekar (R)AGE:23PO:53OV:0

Défense #1Défense #2Gardien
Darnell NurseAGE:28PO:74OV:0
Drew DoughtyAGE:33PO:72OV:0
Neal PionkAGE:28PO:69OV:0
Kevin ShattenkirkAGE:34PO:67OV:0
Jaccob SlavinAGE:29PO:67OV:0
John MarinoAGE:26PO:66OV:0
Adam BoqvistAGE:23PO:66OV:0
William BorgenAGE:26PO:65OV:0
Zach WhitecloudAGE:26PO:64OV:0
Ethan BearAGE:26PO:63OV:0
Jack JohnsonAGE:36PO:63OV:0
Jon MerrillAGE:31PO:61OV:0
Logan StanleyAGE:25PO:61OV:0
Jacob BrysonAGE:25PO:61OV:0
Igor ShesterkinAGE:27PO:85OV:0
Connor Ingram (R)AGE:26PO:73OV:0
Dylan Ferguson (R)AGE:24PO:55OV:0
Aaron DellAGE:34PO:52OV:0
Zach Sawchenko (R)AGE:25PO:51OV:0

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationLien
Arttu RuotsalainenRangers00Lien
Brett BerardRangers202060
Brett HarrisonRangers202172
David EdstromRangers202343
Denver BarkeyRangers202387
Drew FortescueRangers2023109
Etienne MorinRangers202348
Isaiah GeorgeRangers202288
Issac HowardRangers202225
Jack SparkesRangers202291
Lukas DragicevicRangers202345
Rieger LorenzRangers202247
Ryan MastRangers2021102
Tristan LennoxRangers202194
Ty SmilanicRangers202038
William WhitelawRangers202377

Choix au repêchage

Année R1R2R3R4R5
2024
2025
2026
2027
2028




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




Rangers Historique de transactions

[2023-11-06 20:09:19] - TRADE : From Rangers to Lightning : Scott Wedgewood.
[2023-11-06 20:09:19] - TRADE : From Lightning to Rangers : Aaron Dell, Etienne Morin (P).
[2023-10-30 06:38:43] - TRADE : From Rangers to Sharks : Sasha Pastujov (P), Y:2025-RND:1-NYR, Y:2026-RND:1-NYR, Y:2024-RND:3-NYR.
[2023-10-30 06:38:43] - TRADE : From Sharks to Rangers : Tage Thompson.
[2023-10-27 20:31:17] - Jack Johnson has been selected as assistant for Wolf Pack.
[2023-10-27 20:31:17] - Brendan Lemieux is no longer as assistant for Wolf Pack.
[2023-10-27 20:31:17] - Alexander Kerfoot has been selected as assistant for Wolf Pack.
[2023-10-27 20:31:17] - Unknown Player is no longer as assistant for Wolf Pack.
[2023-10-27 20:31:17] - Derick Brassard has been selected as captain for Wolf Pack.
[2023-10-27 20:31:17] - Unknown Player is no longer captain for Wolf Pack.
[2023-10-24 07:40:19] - Offer from Rangers for Joel Armia of $3,400,000 for 1 year(s) with $0 in bonus has been refused.
[2023-10-20 15:25:14] - Trevor Lewis signed with Rangers for $1,000,000 for 1 year(s) / Option : No Trade.
[2023-10-20 15:25:14] - Trevor Lewis was added to Rangers.
[2023-10-20 15:24:55] - Derick Brassard signed with Rangers for $750,000 for 1 year(s) / Option : No Trade.
[2023-10-20 15:24:55] - Derick Brassard was added to Rangers.
[2023-10-07 13:33:55] - TRADE : From Kings to Rangers : Zach Sawchenko.
[2023-09-16 08:02:18] - Zach Parise signed with Rangers for $2,400,000 for 3 year(s) / Option : No Trade & Signing Bonus of $1,800,000.
[2023-09-16 08:02:18] - Zach Parise was added to Rangers.
[2023-09-16 08:01:51] - Jack Johnson signed with Rangers for $1,000,000 for 3 year(s) / Option : No Trade & Signing Bonus of $100,000.
[2023-09-16 08:01:51] - Jack Johnson was added to Rangers.
[2023-09-16 08:01:34] - Dylan Ferguson signed with Rangers for $750,000 for 3 year(s) / Option : No Trade.
[2023-09-16 08:01:34] - Dylan Ferguson was added to Rangers.
[2023-09-02 08:25:19] - Kevin Stenlund signed with Rangers for 850 000 $ for 3 year(s) / Option : No Trade & Signing Bonus of 400 000 $.
[2023-09-02 08:25:19] - Kevin Stenlund was added to Rangers.
[2023-09-02 08:25:03] - Kevin Shattenkirk signed with Rangers for 3 926 250 $ for 3 year(s) / Option : No Trade & Signing Bonus of 105 000 $.
[2023-09-02 08:25:03] - Kevin Shattenkirk was added to Rangers.
[2023-09-02 08:24:34] - Jaden Schwartz signed with Rangers for 5 500 000 $ for 3 year(s) / Option : No Trade.
[2023-09-02 08:24:34] - Jaden Schwartz was added to Rangers.
[2023-08-28 20:25:13] - Connor Brown signed with Rangers for 3 600 000 $ for 2 year(s) / Option : No Trade.
[2023-08-28 20:25:13] - Connor Brown was added to Rangers.
[2023-08-28 20:24:58] - Alexander Kisakov signed with Rangers for 925 000 $ for 3 year(s) / Option : No Trade.
[2023-08-28 20:24:58] - Alexander Kisakov was added to Rangers.
[2023-08-14 19:36:16] - Teuvo Teravainen was released.
[2023-08-14 19:36:16] - Rangers paid 10 800 000 $ to release Teuvo Teravainen.
[2023-07-11 10:33:39] - Johan Larsson has been deleted from Rangers.
[2023-07-11 10:32:27] - Joachim Blichfeld has been deleted from Rangers.
[2023-07-11 10:31:48] - Hayden Verbeek has been deleted from Rangers.
[2023-07-11 10:31:17] - Callum Booth has been deleted from Rangers.
[2023-07-11 10:27:49] - Kody Clark has been deleted from Rangers.
[2023-07-05 18:15:27] - Rangers drafts Drew Fortescue as the #109 overall pick in the Entry Draft of year 2023.
[2023-07-04 15:45:21] - Rangers drafts Denver Barkey as the #87 overall pick in the Entry Draft of year 2023.
[2023-07-04 11:26:54] - Rangers drafts William Whitelaw as the #77 overall pick in the Entry Draft of year 2023.
[2023-07-02 08:15:35] - Rangers drafts Lukas Dragicevic as the #45 overall pick in the Entry Draft of year 2023.
[2023-07-01 13:49:49] - TRADE : From Red Wings to Rangers : Y:2023-RND:3-DET.
[2023-07-01 13:49:49] - TRADE : From Rangers to Red Wings : Y:2024-RND:2-NYR.
[2023-07-01 13:43:54] - Rangers drafts David Edstrom as the #43 overall pick in the Entry Draft of year 2023.



[2023-12-08 21:55:21] Game 190 - Connor Brown from Wolf Pack is injured (Right Hand) and is out for 1 week.
[2023-12-05 22:14:43] Ethan Bear from Wolf Pack is back from Bruised Left Shoulder Injury.
[2023-12-05 22:14:42] Game 179 - Ethan Bear from Wolf Pack is injured (Bruised Left Shoulder) and is out for the game.
[2023-11-30 21:16:11] Successfully loaded Rangers lines done with STHS Client - 3.3.5.5
[2023-11-27 07:13:49] Dylan Ferguson from Wolf Pack is back from Bruised Right Shoulder Injury.
[2023-11-27 07:13:49] Jack Johnson from Wolf Pack is back from Bruised Left Arm Injury.
[2023-11-27 07:13:48] Game 148 - Jack Johnson from Wolf Pack is injured (Bruised Left Arm) and is out for 2 days.
[2023-11-27 07:13:48] Game 148 - Dylan Ferguson from Wolf Pack is injured (Bruised Right Shoulder) and is out for 2 days.
[2023-11-26 21:09:32] Auto Lines Function has been run for Wolf Pack.
[2023-11-26 21:09:32] Wolf Pack (Rangers) lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. Extra Defense #0 is empty. Extra Defense #3 is empty. OT Defense #3 is empty. Starting Goalie is empty.
[2023-11-26 21:09:32] Auto Roster Partial Function has been run for Rangers.
[2023-11-26 21:09:32] Wolf Pack roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-25 21:58:29] Auto Lines Function has been run for Wolf Pack.
[2023-11-25 21:58:29] Wolf Pack (Rangers) lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. Extra Defense #0 is empty. Extra Defense #3 is empty. OT Defense #3 is empty. Starting Goalie is empty.
[2023-11-25 21:58:29] Auto Roster Partial Function has been run for Rangers.
[2023-11-25 21:58:29] Wolf Pack roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-23 21:10:04] Ethan Bear from Wolf Pack is back from Lower Body Injury.
[2023-11-22 22:21:48] Dylan Ferguson from Wolf Pack is back from Right Hip Injury.
[2023-11-22 22:21:48] Last 7 Days Farm Star : 1 - Mikhail Maltsev of Monsters (3-3-6) / 2 - William Borgen of Wolf Pack (2-3-5) / 3 - David Gustafsson of Bruins (1-4-5)
[2023-11-22 22:21:46] Game 118 - Ethan Bear from Wolf Pack is injured (Lower Body) and is out for 3 days.
[2023-11-22 22:21:01] Successfully loaded Rangers lines done with STHS Client - 3.3.5.5
[2023-11-21 22:39:02] Game 110 - Dylan Ferguson from Wolf Pack is injured (Right Hip) and is out for 3 days.
[2023-11-21 22:38:51] Successfully loaded Rangers lines done with STHS Client - 3.3.5.5
[2023-11-19 12:53:09] Auto Lines Function has been run for Wolf Pack.
[2023-11-19 12:53:09] Wolf Pack (Rangers) lines errors : Normal line # 1 C is empty. Normal line # 4 RW is empty. PP line1 C is empty. PK line 1 C is empty. 4 vs 4 line 1 C is empty. PK3 line 1 RW is empty. LastMinOff line C is empty. LastMinDef line C is empty. Penalty Shot Player #1 is empty. OT Forward #1 is empty. Starting Goalie is empty.
[2023-11-19 12:53:09] Auto Roster Partial Function has been run for Rangers.
[2023-11-19 12:53:09] Wolf Pack roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.



Connor Brown est dehors pour 5 jours à cause de Right Hand Injury.



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