New York Rangers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sach Verville | Morale : 99 | Moyenne d'Équipe : N/A
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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 SP
1Anze KopitarX100.0081508590949992949491759784949413600
2Andrew ShawXX100.0095506081808287798179747350757214400
3Tom Pyatt (R)XXX100.0070508470777585555074708263817916900
4Timo Meier (R)XXX100.0092508891757469805063646650656412300
5Jarome IginlaXX100.0088507777918296775173757550999914300
6Dylan LarkinX100.0067508398769194846275788450757213000
7Michael CammalleriXX100.0063508690758875795783737290858411700
8Dwight KingX100.0088509271967975675059607475868114400
9Joel WardXXX100.0072508578958590746879718050939512800
10Nail YakupovXXX100.0065508692778075785065656550767112600
11Matt StajanX100.0060507176837496698277588550848513000
12Shea WeberX100.0095508592999890932579789950909512500
13Ivan Provorov (R)X100.0088508894788990852576699050717013700
14Oscar KlefbomX100.0072509988869279882577758750767113400
15Ryan MurrayX100.0071508791838387782564638350777313600
16Marc StaalX100.0080508778908489752563628750848213700
17Steve OleksyX100.0069505368706874592559607550797312800
18Slater KoekkoekX100.0057507573696578642561606850505011400
Rayé
1Colton HargroveX100.0058797764796967535051516350505012000
2Jonathan MarchessaultXX100.0088508293638878865482927950767013100
3Mitch CallahanXXX100.0067707769707767625060606357505011900
4Adam PardyX100.0069846968745755502550507150676812000
MOYENNE D'ÉQUIPE100.007554818181818174487067785577751310
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 SP
1Alex Lyon (R)100.007078847869756670707031686711200
2Brian Elliott100.008488899085858082838483868611500
Rayé
1Stephon Williams100.005670707762626265626231596112000
MOYENNE D'ÉQUIPE100.00707981827274697272724871711160
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano99918999896789USA5063,000,000$


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'ÉquipePOS GP 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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam PardyNew York RangersD321984-03-28No227 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm300,000$300,000$42,857$No300,000$
Alex LyonNew York RangersG241992-12-08Yes201 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$300,000$42,857$No300,000$300,000$300,000$
Andrew ShawNew York RangersLW/RW261990-07-20No179 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$142,857$No1,000,000$
Anze KopitarNew York RangersC291987-08-23No224 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$928,571$No
Brian ElliottNew York RangersG311985-04-09No209 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$928,571$No
Colton HargroveNew York RangersLW241992-06-25No216 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$42,857$No300,000$300,000$
Dwight KingNew York RangersLW271989-07-05No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$500,000$71,429$No
Dylan LarkinNew York RangersLW201996-07-29No190 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$128,571$No900,000$900,000$
Ivan ProvorovNew York RangersD201997-01-13Yes201 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$128,571$No900,000$900,000$900,000$
Jarome IginlaNew York RangersLW/RW391977-06-30No210 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm5,300,000$5,300,000$757,143$No5,300,000$
Joel WardNew York RangersC/LW/RW361980-12-02No226 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm4,140,000$4,140,000$591,429$No4,140,000$4,140,000$
Jonathan MarchessaultNew York RangersC/RW261990-12-27No184 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm300,000$300,000$42,857$No
Marc StaalNew York RangersD301987-01-12No207 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$357,143$No2,500,000$2,500,000$
Matt StajanNew York RangersC331983-12-18No192 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$142,857$No1,000,000$1,000,000$
Michael CammalleriNew York RangersC/LW341982-06-07No190 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$500,000$No
Mitch CallahanNew York RangersC/LW/RW251991-08-16No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$42,857$No
Nail YakupovNew York RangersC/LW/RW231993-10-05No197 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$71,429$No500,000$500,000$
Oscar KlefbomNew York RangersD231993-07-19No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$300,000$42,857$No
Ryan MurrayNew York RangersD231993-09-26No208 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$500,000$71,429$No
Shea WeberNew York RangersD311985-08-13No233 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$928,571$No
Slater KoekkoekNew York RangersD221994-02-18No184 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$42,857$No300,000$
Stephon WilliamsNew York RangersG231993-04-28No190 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$300,000$42,857$No300,000$300,000$
Steve OleksyNew York RangersD301986-02-04No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm300,000$300,000$42,857$No300,000$300,000$300,000$
Timo MeierNew York RangersC/LW/RW201996-10-08Yes209 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$42,857$No300,000$300,000$300,000$
Tom PyattNew York RangersC/LW/RW291987-02-14Yes188 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$500,000$71,429$No500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2527.20203 Lbs6 ft12.281,749,600$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
43,740,000$18,840,000$11,940,000$1,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan LarkinAnze KopitarJarome Iginla40122
2Andrew ShawJoel WardNail Yakupov30122
3Dwight KingMichael CammalleriTimo Meier20122
4Joel WardMatt StajanAnze Kopitar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovShea Weber40122
2Oscar KlefbomSteve Oleksy30122
3Ivan ProvorovMarc Staal20122
4Ryan MurrayShea Weber10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan LarkinAnze KopitarJarome Iginla60122
2Andrew ShawMatt StajanTimo Meier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ivan ProvorovMarc Staal60122
2Oscar KlefbomShea Weber40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anze KopitarDylan Larkin60122
2Matt StajanAndrew Shaw40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc StaalShea Weber60122
2Oscar KlefbomIvan Provorov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anze Kopitar60122Marc StaalIvan Provorov60122
2Matt Stajan40122Oscar KlefbomShea Weber40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan LarkinAnze Kopitar60122
2Jarome IginlaAndrew Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberMarc Staal60122
2Oscar KlefbomIvan Provorov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJarome IginlaIvan ProvorovShea Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinAnze KopitarJarome IginlaIvan ProvorovShea Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Larkin, Dwight King, Anze KopitarAnze Kopitar, Dwight KingAnze Kopitar
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shea Weber, Marc Staal, Oscar KlefbomShea WeberMarc Staal, Oscar Klefbom
Tirs de Pénalité
Dylan Larkin, Anze Kopitar, Jarome Iginla, Andrew Shaw, Matt Stajan
Gardien
#1 : Brian Elliott, #2 : Alex Lyon


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 43,740,000$ 38,550,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 25 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 116,496,778$ 116,496,778$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Andrew ShawAGE:26PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
Colton HargroveAGE:24PO:1OV:0
Jarome IginlaAGE:39PO:1OV:0
Dylan LarkinAGE:20PO:1OV:0
Michael CammalleriAGE:34PO:1OV:0
Dwight KingAGE:27PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0
Anze KopitarAGE:29PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
*Mark OlverAGE:29PO:1OV:0
Michael CammalleriAGE:34PO:1OV:0
Jonathan MarchessaultAGE:26PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0
Cody BassAGE:30PO:1OV:0
Matt StajanAGE:33PO:1OV:0
Andrew ShawAGE:26PO:1OV:0
*Tom PyattAGE:29PO:1OV:0
*Timo MeierAGE:20PO:1OV:0
Jarome IginlaAGE:39PO:1OV:0
Jonathan MarchessaultAGE:26PO:1OV:0
Joel WardAGE:36PO:1OV:0
Nail YakupovAGE:23PO:1OV:0
Mitch CallahanAGE:25PO:1OV:0

Défense #1Défense #2Gardien
Adam PardyAGE:32PO:1OV:0
Kenney MorrisonAGE:24PO:1OV:0
Shea WeberAGE:31PO:1OV:0
Zach LeslieAGE:22PO:1OV:0
*Ivan ProvorovAGE:20PO:1OV:0
Oscar KlefbomAGE:23PO:1OV:0
Ryan MurrayAGE:23PO:1OV:0
Marc StaalAGE:30PO:1OV:0
Steve OleksyAGE:30PO:1OV:0
Vincent LoVerdeAGE:27PO:1OV:0
Slater KoekkoekAGE:22PO:1OV:0
Viktor LoovAGE:24PO:1OV:0
*Alex LyonAGE:24PO:1OV:0
Stephon WilliamsAGE:23PO:1OV:0
Brian ElliottAGE:31PO:1OV:0

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alexis PepinNew York Rangers10115
Anthony FlorentinoNew York Rangers9124
Christian JarosNew York Rangers1185
Frederik OlofssonNew York Rangers1080
Luke KuninNew York Rangers1212
Scott GreenhamNew York Rangers
Simon BourqueNew York Rangers11130
Vladimir BobylevNew York Rangers12131
William BorgenNew York Rangers11100

Choix au Repêchage

Année R1R2R3R4R5R6
13NYR NYR NYR NYR
14NYR NYR NYR Pit NYR NYR
15NYR NYR NYR NYR NYR
16NYR NYR NYR NYR NYR NYR
17NYR NYR NYR NYR NYR NYR



[2018-04-07 11:41:05] - Connecticut Whale didn't make playoff for year 12.
[2018-04-07 11:41:05] - New York Rangers didn't make playoff for year 12.
[2018-02-22 23:51:41] - TRADE : From Dallas Stars to New York Rangers : Tom Pyatt.
[2018-02-22 23:51:41] - TRADE : From New York Rangers to Dallas Stars : Y:13-RND:4-NYR.
[2018-01-26 19:19:13] - TRADE : From New York Rangers to Buffalo Sabres : Cam Ward, Roman Polak, Y:14-RND:3-Van.
[2018-01-26 19:19:13] - TRADE : From Buffalo Sabres to New York Rangers : Brian Elliott, Steve Oleksy, Y:13-RND:6-NYR.
[2018-01-26 19:19:12] - Steve Oleksy was added to New York Rangers.
[2018-01-26 19:19:12] - Brian Elliott was added to New York Rangers.
[2017-12-12 09:46:33] - TRADE : From Phoenix Coyotes to New York Rangers : Cody Bass, Mark Olver.
[2017-12-12 09:46:32] - Mark Olver was added to New York Rangers.
[2017-12-12 09:46:32] - Cody Bass was added to New York Rangers.
[2017-09-25 11:40:57] - TRADE : From New York Rangers to Dallas Stars : Nikita Tryamkin.
[2017-09-25 11:40:57] - TRADE : From Dallas Stars to New York Rangers : Alexis Pepin (P).



[2018-03-24 20:03:42] Jonathan Marchessault from New York Rangers is back from Separated Left Shoulder Injury.
[2018-03-17 09:51:27] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-17 09:51:27] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-14 18:27:11] Alex Lyon from New York Rangers is back from Exhaustion.
[2018-03-13 07:29:17] Alex Lyon from New York Rangers injured (Exhaustion)
[2018-03-12 10:04:59] Auto Lines Partial Function has been run for New York Rangers.
[2018-03-12 10:04:59] Auto Roster Partial Function has been run for New York Rangers.
[2018-03-11 12:49:19] Game 1072 - Jonathan Marchessault from New York Rangers is injured (Separated Left Shoulder) and is out for 2 weeks.



Pas de Blessure ou de Suspension.


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