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Connexion

Rangers
GP: 80 | W: 43 | L: 32 | OTL: 5 | P: 91
GF: 273 | GA: 272 | PP%: 21.68% | PK%: 80.55%
DG: Eric Mercier | Morale : 51 | Moyenne d’équipe : 76
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Centre de jeu
Blues
50-24-6, 106pts
5
FINAL
4 Rangers
43-32-5, 91pts
Team Stats
W1SéquenceW1
24-14-2Fiche domicile23-13-4
26-10-4Fiche visiteur20-19-1
7-3-0Derniers 10 matchs7-1-2
3.55Buts par match 3.41
3.03Buts contre par match 3.40
15.79%Pourcentage en avantage numérique21.68%
82.81%Pourcentage en désavantage numérique80.55%
Rangers
43-32-5, 91pts
5
FINAL
4 Penguins
35-35-10, 80pts
Team Stats
W1SéquenceL2
23-13-4Fiche domicile18-17-5
20-19-1Fiche visiteur17-18-5
7-1-2Derniers 10 matchs3-6-1
3.41Buts par match 3.28
3.40Buts contre par match 3.38
21.68%Pourcentage en avantage numérique19.72%
80.55%Pourcentage en désavantage numérique81.59%
Meneurs d'équipe
Buts
Milan Lucic
50
Passes
Sean Couturier
76
Points
Milan Lucic
116
Plus/Moins
Vince Dunn
16
Victoires
Samuel Montembeault
23
Pourcentage d’arrêts
Frederik Andersen
0.891

Statistiques d’équipe
Buts pour
273
3.41 GFG
Tirs pour
2532
31.65 Avg
Pourcentage en avantage numérique
21.7%
75 GF
Début de zone offensive
37.4%
Buts contre
272
3.40 GAA
Tirs contre
2415
30.19 Avg
Pourcentage en désavantage numérique
80.5%%
71 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralEric Mercier
EntraîneurClaude Julien
DivisionZiegler
ConférenceClarence Campbell
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomMadison Square Garden
Capacité18,000
Assistance17,456
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure37
Limite contact 60 / 250
Espoirs0


Plafond salarial Non Activé

Cap Salarial de la Saison estimé50,021,173$
Plafond salarial disponible68,004,896$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour56,820,487$
Dépenses annuelles à ce jour51,172,750$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel52,026,069$
Compte bancaire projeté52,009,850$


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
1Milan LucicX100.0085687681798088927779817979867824718123046,000,000$
2Sean CouturierX100.0089418580857481828481877480766139718012635,500,000$
3Tomas HertlX100.0074288779878287808680836780655542717702513,000,000$
4Devante Smith-PellyX100.0085327975817787847777797575625333717602622,000,000$
5Ryan StromeX100.0086448078798076808180786882655141717602523,250,000$
6Ondrej PalatX100.0072417979727478778679806272686634627502713,000,000$
7Richard PanikX100.0070328477847876777470827575685630637502711,250,000$
8Oliver Bjorkstrand (R)X100.007430897975768174707389597159505267740232950,000$
9T.J GaliardiX100.0071378172757676787978796774666524417403011,500,000$
10Henrik SamuelssonX100.0071357980738373787774757183604841617302421,250,000$
11Samuel Blais (R)X100.008435787577677880697374687155475352720221750,000$
12Seth GriffithX100.007728818072727878757374607961583859720252850,000$
13Jake McCabeX100.0079418679837880836378718172715442517802513,000,000$
14Dmitry KulikovX100.0077447581798285777077728270816430717712814,000,000$
15Cale MakarX100.005744879567667995479668784850447564760201500,000$
16Patrik NemethX100.0080338676798178765879698069675433717602621,750,000$
17Vince DunnX100.007639887067787179547781736760475469740223900,000$
18Mikhail SergachevX100.0075508676757378765676707669594464717402042,000,000$
Rayé
1Chris McallisterX100.0079427878708069745880717862806614367403312,000,000$
2Magnus PaajarviX100.0069297877777981768176796373555533207302711,750,000$
Équipe Mineure
1David Pope (R)X100.007233837878807876767775637563553960730241700,000$
2Stefan NoesenX100.007937777977737278698076686460553742730252950,000$
3Sebastian Collberg (R)X100.006532867674767668697870646956494061700242800,000$
4Connor Chatam (R)X100.007734727275657173627469726450474661690223650,000$
5Casey Mittelstadt (R)X100.007048767575697667706868647150445961680201500,000$
6Alexander Barabanov (R)X100.006640726676776567696676547549544144670242500,000$
7Nolan Patrick (R)X100.006542777171747072707667516245425861660201500,000$
8Dryden Hunt (R)X100.005741726272656770737081537048474461660231550,000$
9Owen Tippet (R)X100.006529785982636861697082476343427161650191500,000$
10Alex Barre-Boulet (R)X100.006742836663706164696473596547455161650213550,000$
11Yegor Korshkov (R)X100.005935646958646574565567516345454031610222500,000$
12Mikhail Vorobyev (R)X100.005730705752675860757569395443435522600211550,000$
13Derrick Pouliot (R)X100.007622867174748072527673756470514240730241800,000$
14Steven Santini (R)X100.007835788273737478567862745965474535730231800,000$
15Ryan CulkinX100.007136747868636774537359715953543561690252650,000$
16K'Andre Miller (R)X100.006533896762686951386943824340407542660182500,000$
17Joshua Jacobs (R)X100.006942826665657265516859675947474821660222500,000$
18Cale Fleury (R)X100.006333817171655853346948754244445833650201500,000$
19Jake Marchment (R)X68.856331786765686461636759695845454446640222550,000$
20Linus Sandin (R)X100.007030757160597063606770595847474419640221500,000$
21Alexander Volkov (R)X100.006934736962625763696968556344454620630211500,000$
22Martin Kaut (R)X100.006835696866535571655957546042417519600192500,000$
23Mason Shaw (R)X100.006550685963686161615960515842436320590201500,000$
24Jeffrey Viel (R)X100.007556705780597659505958495344435920590212500,000$
25Ryan Poehling (R)X100.006433576871526754486762475641416320580191500,000$
26Jakub Lauko (R)X100.005524737348584364585856556640407019570182500,000$
27Samuel Houde (R)X100.005233645062656362576551415940406620550182500,000$
28Mathias Laferriere (R)X100.005231616343544669505558485940406820550182500,000$
29Jack Drury (R)X100.005845685456555555585854495440406720540182500,000$
30Colton White (R)X92.307243826971676566526959746147465333680211550,000$
31Will Borgen (R)X100.007450636171775755275659634645444516630221550,000$
32Andrew Peeke (R)X100.007943636473725354356353623842425419630202500,000$
33Dante Fabbro (R)X100.006738805960646365386364555342425920610202500,000$
34Dylan Samberg (R)X100.005939726159626562465646674541415819600191500,000$
MOYENNE D’ÉQUIPE99.28703877717170707062716864645449484568
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
1Frederik Andersen100.008272788181777980757981828128727912913,500,000$
2Samuel Montembeault100.007279657280798281907265595046727802221,500,000$
Rayé
1Mike Condon100.00726971808073677574737470712662730281900,000$
Équipe Mineure
1Eric Comrie100.00748476767577747781786460544660750233950,000$
2Samuel Ersson (R)100.00517054576763687472555741427423640192500,000$
3Jake Paterson100.00655267696663566365607046463120620241500,000$
MOYENNE D’ÉQUIPE100.0069716973757271757670696057425272
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien82837474596155CAN5421,000,000$


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
1Milan LucicRangersLW805066116310201371183649519613.74%37172621.5815284360301224101728442.13%1788825031.34130001177
2Sean CouturierRangersC80367611295401331692766815213.04%41184623.0810243440300358172943250.80%27503938011.2123000878
3Cale MakarRangersD78186179-2016061107260921196.92%92182123.3515223774307000099130%06544000.8700000424
4Tomas HertlRangersC80253863-2801001192145912111.68%19133916.7461117272351014727253.00%9684922000.9411000742
5Ryan StromeRangersRW80303262968094881785211316.85%34155019.38111627322710110845357.14%1263431000.8001000157
6Devante Smith-PellyRangersRW80242448-7300118761565210015.38%24121415.18381123228000072347.69%653819000.7901000352
7Ondrej PalatRangersLW76202646-8715101781545310412.99%17121616.005813172280112575041.07%562114000.7600000233
8Jake McCabeRangersD8062531131601121329248466.52%123202425.3023592341125311110%02870000.3101000120
9Henrik SamuelssonRangersC80621272440798212740774.72%2491411.43000020117952252.86%4372121000.5911000012
10Dmitry KulikovRangersD8022325-1110601031058027362.50%95159519.9514551340333282000%02049000.3101000000
11Richard PanikRangersRW7591322-5240676610129848.91%2583611.150222400000690070.59%341915000.5300000210
12T.J GaliardiRangersLW5697160240514172163912.50%1358410.440000010181002051.85%27814100.5500000021
13Mikhail SergachevRangersD80016165220601025332230%66146218.280223950001161000%02344000.2200000000
14Samuel BlaisRangersLW287613-3280372439122517.95%1142515.19325598000021033.33%1246000.6100000110
15Chris McallisterRangersLW556511-234061476618339.09%1655810.150000501111022066.67%151515000.3900000000
16Magnus PaajarviRangersLW395611-1100432237152413.51%83879.93000000001310038.46%1355000.5700000102
17Oliver BjorkstrandRangersRW516511-13160473856194110.71%1865412.831123700001251136.11%36129000.3400000002
18Patrik NemethRangersD793811-810047725125185.88%55123615.652022171121251000%01043000.1800000000
19Vince DunnRangersD772791622062826931282.90%67125816.351013145000051100%02236100.1400000000
20Seth GriffithRangersC69718-9200483256102412.50%65427.86000001016350050.00%18865000.2900000002
21Stefan NoesenWolfpack (NyR)RW23055-340157279120%61596.930000000000000%152000.6300000000
22Derrick PouliotWolfpack (NyR)D6000-200263220%37512.640001900003000%00100000000000
Statistiques d’équipe totales ou en moyenne1432271471742-377295157816132531804141710.71%8002342916.36751312063062728101626672314412151.08%4906532528240.63512000414042
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
1Samuel MontembeaultRangers47231740.8883.342589401441284602020.71474238201
2Frederik AndersenRangers42201510.8913.302238811231127513221.00033842301
3Eric ComrieWolfpack (NyR)10100.8703.00600032310000017000
Statistiques d’équipe totales ou en moyenne90433350.8893.3148881212702434112524108187502


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 Forcer UFA Rappel d'urgence 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
Cale MakarRangersD201998-01-01No187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$No------------------
Chris McallisterRangersLW331985-01-01No250 Lbs6 ft7NoNoN/ANoYes1FalseFalsePro Only2,000,000$2,000,000$0$No------------------
Devante Smith-PellyRangersRW261992-01-01No220 Lbs6 ft0NoNoN/ANoYes2FalseFalsePro Only2,000,000$2,000,000$0$No3,000,000$--------No--------
Dmitry KulikovRangersD281990-01-01No204 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro Only4,000,000$4,000,000$0$No------------------
Frederik AndersenRangersG291989-01-01No236 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only3,500,000$3,500,000$0$No------------------
Henrik SamuelssonRangersC241994-01-01No216 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro Only1,250,000$1,250,000$0$No1,500,000$--------No--------
Jake McCabeRangersD251993-01-01No203 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro Only3,000,000$3,000,000$0$No------------------
Magnus PaajarviRangersLW271991-01-01No208 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only1,750,000$1,750,000$0$No------------------
Mike CondonRangersG281990-01-01No197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$No------------------
Mikhail SergachevRangersD201998-01-01No216 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro Only2,000,000$2,000,000$0$No2,000,000$3,000,000$3,000,000$------NoNoNo------
Milan LucicRangersLW301988-01-01No220 Lbs6 ft4NoNoN/ANoYes4FalseFalsePro Only6,000,000$6,000,000$0$No6,500,000$6,500,000$7,000,000$------NoNoNo------
Oliver BjorkstrandRangersRW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$No1,250,000$--------No--------
Ondrej PalatRangersLW271991-01-01No188 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro Only3,000,000$3,000,000$0$No------------------
Patrik NemethRangersD261992-01-01No230 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro Only1,750,000$1,750,000$0$No2,000,000$--------No--------
Richard PanikRangersRW271991-01-01No208 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro Only1,250,000$1,250,000$0$No------------------
Ryan StromeRangersRW251993-01-01No199 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro Only3,250,000$3,250,000$0$No3,500,000$--------No--------
Samuel BlaisRangersLW221996-01-01Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$No------------------
Samuel MontembeaultRangersG221996-01-01No199 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro Only1,500,000$1,500,000$0$No1,750,000$--------No--------
Sean CouturierRangersC261992-01-01No197 Lbs6 ft3NoNoN/ANoYes3FalseFalsePro Only5,500,000$5,500,000$0$No6,000,000$6,500,000$-------NoNo-------
Seth GriffithRangersC251993-01-01No180 Lbs5 ft9NoNoN/ANoYes2FalseFalsePro & Farm850,000$850,000$0$No850,000$--------No--------
T.J GaliardiRangersLW301988-01-01No190 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro Only1,500,000$1,500,000$0$No------------------
Tomas HertlRangersC251993-01-01No180 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro Only3,000,000$3,000,000$0$No------------------
Vince DunnRangersD221996-01-01No203 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm900,000$900,000$0$No1,500,000$2,250,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.65205 Lbs6 ft21.742,221,739$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
51,100,000$29,850,000$18,250,000$10,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milan LucicSean CouturierRyan Strome40122
2Ondrej PalatTomas HertlDevante Smith-Pelly30122
3Samuel BlaisHenrik SamuelssonOliver Bjorkstrand20122
4T.J GaliardiSeth GriffithRichard Panik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeCale Makar40122
2Dmitry KulikovMikhail Sergachev30122
3Patrik NemethVince Dunn20122
4Jake McCabeCale Makar10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milan LucicSean CouturierDevante Smith-Pelly60122
2Ondrej PalatTomas HertlRyan Strome40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale MakarSamuel Blais60122
2Vince DunnJake McCabe40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sean CouturierT.J Galiardi60122
2Henrik SamuelssonRichard Panik40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeDmitry Kulikov60122
2Patrik NemethMikhail Sergachev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Henrik Samuelsson60122Jake McCabeDmitry Kulikov60122
2Sean Couturier40122Patrik NemethMikhail Sergachev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Milan LucicSean Couturier60122
2Tomas HertlDevante Smith-Pelly40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeCale Makar60122
2Dmitry KulikovMikhail Sergachev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Milan LucicSean CouturierRyan StromeJake McCabeCale Makar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
T.J GaliardiSean CouturierDevante Smith-PellyJake McCabeDmitry Kulikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Richard Panik, Devante Smith-Pelly, Oliver BjorkstrandRichard Panik, Devante Smith-PellyOliver Bjorkstrand
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Sergachev, Vince Dunn, Patrik NemethMikhail SergachevVince Dunn, Patrik Nemeth
Tirs de pénalité
Milan Lucic, Sean Couturier, Tomas Hertl, Devante Smith-Pelly, Ryan Strome
Gardien
#1 : Samuel Montembeault, #2 : Frederik Andersen
Lignes d’attaque personnalisées en prolongation
Milan Lucic, Sean Couturier, Tomas Hertl, Devante Smith-Pelly, Ryan Strome, Samuel Blais, Samuel Blais, Ondrej Palat, Oliver Bjorkstrand, T.J Galiardi, Richard Panik
Lignes de défense personnalisées en prolongation
Jake McCabe, Cale Makar, Dmitry Kulikov, Mikhail Sergachev, Vince Dunn


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
1Avalanche64101000261883300000011563110100015132100.83326426800109612046663741168707011031825.81%35877.14%1934182951.07%955184651.73%630122151.60%130721235610652
2Blackhawks21000001880110000006511000000123-130.75081523003411782834165541818447342.86%9277.78%0934182951.07%955184651.73%630122151.60%462942183517
3Blues301001101115-420100100712-51000001043130.5001119300033429837322749134187015213.33%90100.00%2934182951.07%955184651.73%630122151.60%663762285528
4Bruins31100100141401000010034-1211000001110130.50014233700473077282326010023266016318.75%13284.62%1934182951.07%955184651.73%630122151.60%633362285527
5Canadiens21001000633110000003121000100032141.00061016002121551422181582112457228.57%6183.33%0934182951.07%955184651.73%630122151.60%452639173518
6Canucks31200000101002020000057-21100000053220.33310172700253092293528010345306613215.38%15380.00%0934182951.07%955184651.73%630122151.60%633565275024
7Capitals321000006602110000034-11100000032140.6676101611420090472320082302861200.00%14192.86%0934182951.07%955184651.73%630122151.60%633664265124
8Devils40400000817-91010000013-230300000714-700.00081321003320128374546014340247910220.00%12375.00%0934182951.07%955184651.73%630122151.60%834990356631
9Flames21001000853110000006421000100021141.00081422002321631931121662614309111.11%70100.00%0934182951.07%955184651.73%630122151.60%422344203517
10Flyers21100000550110000003121010000024-220.5005813001130603212160551714447114.29%70100.00%0934182951.07%955184651.73%630122151.60%412444183316
11Golden Knights321000001082110000004312110000065140.6671018280023509235273008029206210110.00%10280.00%1934182951.07%955184651.73%630122151.60%704158265126
12Islanders31100010121202010001069-31100000063340.66712193100722111240363261012522667342.86%11463.64%1934182951.07%955184651.73%630122151.60%704562255124
13Jets2020000028-61010000014-31010000014-300.00023500002052171817054121645700.00%8362.50%0934182951.07%955184651.73%630122151.60%392143193617
14Kings32100000141042200000012661010000024-240.6671424381007709019383308735285515533.33%13376.92%0934182951.07%955184651.73%630122151.60%623665285125
15Lightning74200100262063200010013103422000001310390.643264571009710021873737201965997147411536.59%43686.05%1934182951.07%955184651.73%630122151.60%149811476712361
16Maple Leafs21001000963100010005411100000042241.000916250004416314281654911124113323.08%6183.33%0934182951.07%955184651.73%630122151.60%452541183518
17Oilers20101000711-4100010004311010000038-520.50071219002221722227194582014289111.11%7271.43%0934182951.07%955184651.73%630122151.60%432544193618
18Panthers724010001923-431200000812-4412010001111060.42919355410510312228882502206597812334720.59%40587.50%1934182951.07%955184651.73%630122151.60%151841446912561
19Penguins633000002122-131200000710-3321000001412260.5002140610075902117182580190786011738821.05%30970.00%0934182951.07%955184651.73%630122151.60%126701305410352
20Predators320010001064210010007521100000031261.0001017270015319427273288924206010220.00%10190.00%0934182951.07%955184651.73%630122151.60%633668275125
21Red Wings2110000069-31010000027-51100000042220.5006121800123063181827066151840400.00%9366.67%0934182951.07%955184651.73%630122151.60%432442173316
22Sabres220000001064110000005231100000054141.0001018280035206515193105629164211218.18%8275.00%0934182951.07%955184651.73%630122151.60%432441183517
23Senateurs31200000811-3211000007701010000014-320.3338142200341088282733010331244714321.43%11372.73%0934182951.07%955184651.73%630122151.60%623564265226
24Sharks21100000743110000006151010000013-220.50071219003130601818240542926409111.11%13192.31%0934182951.07%955184651.73%630122151.60%402143203616
25Stars302001001015-51000010034-120200000711-410.167101626105230852525350106233864700.00%19668.42%2934182951.07%955184651.73%630122151.60%593368285124
Total80343207421273272140191303410138133540151904011135139-4910.5692734727454182978511253284786579237241580374315863467521.68%3657180.55%10934182951.07%955184651.73%630122151.60%172097817087451405695
_Since Last GM Reset80343207421273272140191303410138133540151904011135139-4910.5692734727454182978511253284786579237241580374315863467521.68%3657180.55%10934182951.07%955184651.73%630122151.60%172097817087451405695
_Vs Conference51202302420173180-724910004107183-1227111302010102975520.510173297470316158505162957654649813156651551110252245122.77%2514980.48%10934182951.07%955184651.73%630122151.60%10986231082474894441
_Vs Division26131002100928391274001003937214660200053467310.5969216225410313128285529830025437602663054971443826.39%1482881.08%3934182951.07%955184651.73%630122151.60%557309546247459227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8091W127347274525322415803743158641
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8034327421273272
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4019133410138133
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015194011135139
Derniers 10 matchs
WLOTWOTL SOWSOL
611200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3467521.68%3657180.55%10
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
8478657923782978511
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
934182951.07%955184651.73%630122151.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172097817087451405695


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
25Rangers3Panthers2WXR1Sommaire du match
519Penguins4Rangers1LSommaire du match
623Rangers6Lightning2WSommaire du match
934Rangers6Penguins3WSommaire du match
1147Avalanche2Rangers3WSommaire du match
1357Rangers6Avalanche5WXSommaire du match
1469Rangers2Devils3LSommaire du match
1677Panthers4Rangers2LR1Sommaire du match
2099Lightning7Rangers6LXSommaire du match
23116Rangers3Panthers4LR1Sommaire du match
25124Rangers2Lightning4LSommaire du match
26129Capitals0Rangers1WSommaire du match
31154Islanders3Rangers4WXXSommaire du match
34171Canucks3Rangers2LSommaire du match
36179Rangers3Stars5LSommaire du match
40200Avalanche1Rangers3WSommaire du match
43216Rangers2Kings4LSommaire du match
45225Flames4Rangers6WSommaire du match
47237Rangers5Canucks3WSommaire du match
50253Panthers2Rangers4WR1Sommaire du match
52267Rangers5Bruins6LSommaire du match
54277Canucks4Rangers3LSommaire du match
55289Rangers5Sabres4WSommaire du match
58303Rangers6Islanders3WSommaire du match
59310Sharks1Rangers6WSommaire du match
63329Flyers1Rangers3WSommaire du match
67347Capitals4Rangers2LSommaire du match
70365Rangers3Canadiens2WXSommaire du match
72375Bruins4Rangers3LXSommaire du match
75393Rangers4Stars6LSommaire du match
77399Rangers2Flyers4LSommaire du match
78406Senateurs4Rangers3LSommaire du match
82425Rangers6Bruins4WSommaire du match
83432Blues7Rangers3LSommaire du match
88453Oilers3Rangers4WXSommaire du match
90468Rangers2Devils5LSommaire du match
92478Lightning1Rangers3WSommaire du match
94489Rangers2Blackhawks3LXXSommaire du match
97504Panthers6Rangers2LR1Sommaire du match
101523Rangers4Avalanche6LSommaire du match
103532Devils3Rangers1LSommaire du match
107555Blackhawks5Rangers6WSommaire du match
109566Rangers4Maple Leafs2WSommaire du match
111579Penguins4Rangers2LSommaire du match
113592Rangers5Golden Knights2WSommaire du match
115603Rangers1Sharks3LSommaire du match
116609Maple Leafs4Rangers5WXSommaire du match
119622Rangers1Golden Knights3LSommaire du match
121636Lightning2Rangers4WSommaire du match
122646Rangers3Devils6LSommaire du match
125659Senateurs3Rangers4WSommaire du match
127668Rangers2Panthers4LR1Sommaire du match
129681Rangers4Red Wings2WSommaire du match
131691Predators3Rangers4WSommaire du match
133702Rangers1Senateurs4LSommaire du match
135716Predators2Rangers3WXSommaire du match
137726Rangers0Lightning2LSommaire du match
141743Canadiens1Rangers3WSommaire du match
145765Jets4Rangers1LSommaire du match
148782Rangers4Blues3WXXSommaire du match
149792Kings4Rangers6WSommaire du match
154815Kings2Rangers6WSommaire du match
156826Rangers3Oilers8LSommaire du match
158838Rangers3Capitals2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159846Penguins2Rangers4WSommaire du match
162863Sabres2Rangers5WSommaire du match
165874Rangers1Jets4LSommaire du match
168890Islanders6Rangers2LSommaire du match
170905Rangers3Panthers1WR1Sommaire du match
172916Red Wings7Rangers2LSommaire du match
173922Rangers5Lightning2WSommaire du match
177941Avalanche2Rangers5WSommaire du match
178949Rangers3Penguins5LSommaire du match
180966Golden Knights3Rangers4WSommaire du match
181968Rangers2Flames1WXSommaire du match
184981Rangers5Avalanche2WSommaire du match
187995Stars4Rangers3LXSommaire du match
1891002Rangers3Predators1WSommaire du match
1931023Blues5Rangers4LXSommaire du match
1961033Rangers5Penguins4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance235,941192,16277,435154,09138,614
Attendance PCT98.31%96.08%96.79%96.31%96.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17456 - 96.98% 1,420,512$56,820,487$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
51,172,750$ 51,100,000$ 41,650,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
258,081$ 50,021,173$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 263,131$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
16,219$ 52,026,069$ 52,009,850$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
50,021,173$ 68,004,896$ 118,026,069$ 15,021,173$



Charte de profondeur

Ailier gaucheCentreAilier droit
Milan LucicAGE:30PO:24OV:81
Ondrej PalatAGE:27PO:34OV:75
T.J GaliardiAGE:30PO:24OV:74
Chris McallisterAGE:33PO:14OV:74
David Pope (R)AGE:24PO:39OV:73
Magnus PaajarviAGE:27PO:33OV:73
Samuel Blais (R)AGE:22PO:53OV:72
Alexander Barabanov (R)AGE:24PO:41OV:67
Dryden Hunt (R)AGE:23PO:44OV:66
Yegor Korshkov (R)AGE:22PO:40OV:61
Jeffrey Viel (R)AGE:21PO:59OV:59
Jakub Lauko (R)AGE:18PO:70OV:57
Jack Drury (R)AGE:18PO:67OV:54
Sean CouturierAGE:26PO:39OV:80
Tomas HertlAGE:25PO:42OV:77
Henrik SamuelssonAGE:24PO:41OV:73
Seth GriffithAGE:25PO:38OV:72
Casey Mittelstadt (R)AGE:20PO:59OV:68
Nolan Patrick (R)AGE:20PO:58OV:66
Alex Barre-Boulet (R)AGE:21PO:51OV:65
Jake Marchment (R)AGE:22PO:44OV:64
Mikhail Vorobyev (R)AGE:21PO:55OV:60
Mason Shaw (R)AGE:20PO:63OV:59
Ryan Poehling (R)AGE:19PO:63OV:58
Samuel Houde (R)AGE:18PO:66OV:55
Ryan StromeAGE:25PO:41OV:76
Devante Smith-PellyAGE:26PO:33OV:76
Richard PanikAGE:27PO:30OV:75
Oliver Bjorkstrand (R)AGE:23PO:52OV:74
Stefan NoesenAGE:25PO:37OV:73
Sebastian Collberg (R)AGE:24PO:40OV:70
Connor Chatam (R)AGE:22PO:46OV:69
Owen Tippet (R)AGE:19PO:71OV:65
Linus Sandin (R)AGE:22PO:44OV:64
Alexander Volkov (R)AGE:21PO:46OV:63
Martin Kaut (R)AGE:19PO:75OV:60
Mathias Laferriere (R)AGE:18PO:68OV:55

Défense #1Défense #2Gardien
Jake McCabeAGE:25PO:42OV:78
Dmitry KulikovAGE:28PO:30OV:77
Cale MakarAGE:20PO:75OV:76
Patrik NemethAGE:26PO:33OV:76
Mikhail SergachevAGE:20PO:64OV:74
Vince DunnAGE:22PO:54OV:74
Steven Santini (R)AGE:23PO:45OV:73
Derrick Pouliot (R)AGE:24PO:42OV:73
Ryan CulkinAGE:25PO:35OV:69
Colton White (R)AGE:21PO:53OV:68
K'Andre Miller (R)AGE:18PO:75OV:66
Joshua Jacobs (R)AGE:22PO:48OV:66
Cale Fleury (R)AGE:20PO:58OV:65
Andrew Peeke (R)AGE:20PO:54OV:63
Will Borgen (R)AGE:22PO:45OV:63
Dante Fabbro (R)AGE:20PO:59OV:61
Dylan Samberg (R)AGE:19PO:58OV:60
Frederik AndersenAGE:29PO:28OV:79
Samuel MontembeaultAGE:22PO:46OV:78
Eric ComrieAGE:23PO:46OV:75
Mike CondonAGE:28PO:26OV:73
Samuel Ersson (R)AGE:19PO:74OV:64
Jake PatersonAGE:24PO:31OV:62

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 totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
4
5
6
7
8
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Rangers Historique de transactions

[2023-12-14 8:30:52 PM] - Maxime Sauvé was released.
[2023-12-14 8:30:52 PM] - Rangers paid $0 to release Maxime Sauvé.
[2023-12-13 7:25:43 PM] - TRADE : From Rangers to Kings : Ivan Fedotov (71), Joel Kiviranta (63).
[2023-12-13 7:25:43 PM] - TRADE : From Kings to Rangers : Eric Comrie (75), Oliver Bjorkstrand (74).
[2023-11-11 7:48:32 PM] - New Record for Team's Most Shots (50) in 1 Game for Rangers!



[2024-05-07 9:00:05 PM] Auto Lines Function has been run for Wolfpack.
[2024-05-07 8:59:38 PM] Mike Condon of Rangers was sent to pro.
[2024-05-06 8:44:39 PM] Game 1018 - Colton White from Wolfpack is injured (Back) and is out for 2 weeks.
[2024-04-30 7:52:23 PM] Last 7 Days Pro Star : 1 - Zack Kassian of Bruins (6-2-8) / 2 - Milan Lucic of Rangers (5-1-6) / 3 - Steven Stamkos of Sharks (5-2-7)
[2024-04-30 7:51:47 PM] Successfully loaded Rangers lines done with Web Base Client from IP:104.28.55.47 .
[2024-04-28 7:03:27 PM] Game 992 - Jake Marchment from Wolfpack is injured (Torn Left ACL) and is out for 2 months.
[2024-04-24 7:30:09 PM] Successfully loaded Rangers lines done with Web Base Client from IP:165.225.213.17 .
[2024-04-22 7:05:02 PM] Pro Game #981 - Milan Lucic from Rangers has scored a Hat Trick!
[2024-04-20 8:17:55 PM] Last 7 Days Pro Star : 1 - Filip Forsberg of Blues (4-4-8) / 2 - Eric Staal of Flames (4-4-8) / 3 - Milan Lucic of Rangers (3-5-8)
[2024-04-19 8:00:07 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-18 9:11:39 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-16 7:07:40 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-15 7:13:03 PM] Pro Game #941 - Milan Lucic from Rangers has scored a Hat Trick!
[2024-04-15 7:13:03 PM] Samuel Blais from Rangers completes suspension
[2024-04-15 7:12:43 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-14 7:43:02 PM] Farm Game #933 - David Pope from Wolfpack has scored a Hat Trick!
[2024-04-11 10:37:09 PM] Jake McCabe from Rangers is back from Bruised Right Leg Injury.
[2024-04-11 10:37:08 PM] Game 922 - Jake McCabe from Rangers is injured (Bruised Right Leg) and is out for 2 days.
[2024-04-11 10:37:05 PM] Farm Game #915 - David Pope from Wolfpack has scored a Hat Trick!
[2024-04-10 8:23:30 PM] Jake McCabe from Rangers is back from Sprained Left Knee Injury.
[2024-04-10 8:23:29 PM] Game 916 - Jake McCabe from Rangers is injured (Sprained Left Knee) and is out for 1 days.
[2024-04-08 7:29:52 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-06 6:59:21 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-04-04 7:18:59 PM] Alexander Barabanov from Wolfpack is back from Upper Body Injury.
[2024-04-04 7:18:32 PM] Samuel Blais from Rangers suspended for 5 game(s)
[2024-04-02 7:43:57 AM] Will Borgen from Wolfpack is back from Strained Left Elbow Injury.
[2024-03-31 9:45:51 PM] Farm Game #862 - Stefan Noesen from Wolfpack has scored a Hat Trick!
[2024-03-28 8:43:34 PM] K'Andre Miller from Wolfpack is back from Sprained Left Knee Injury.
[2024-03-28 8:43:09 PM] Successfully loaded Rangers lines done with Web Base Client and SQLite Database.
[2024-03-27 10:55:49 PM] Game 840 - K'Andre Miller from Wolfpack is injured (Sprained Left Knee) and is out for 1 week.
[2024-03-27 10:55:49 PM] Game 840 - Will Borgen from Wolfpack is injured (Strained Left Elbow) and is out for 1 week.
[2024-03-27 10:25:43 PM] Auto Lines Function has been run for Wolfpack.
[2024-03-27 10:25:43 PM] Auto Lines Function has been run for Rangers.
[2024-03-27 10:25:43 PM] Auto Roster Partial Function has been run for Rangers.
[2024-03-25 7:04:38 PM] Game 832 - Alexander Barabanov from Wolfpack is injured (Upper Body) and is out for 2 weeks.



Colton White est dehors pour 3 jours à cause de Back Injury.
Jake Marchment est dehors pour 1 mois à cause de Torn Left ACL 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