SKU: 21040834819

Madone SLR 6 Gen 7 Metallic Red Smoke to Red Carbon Smoke

Sale price$3689.55 Regular price$4099.50
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Description

Madone SLR 6 Gen 7 Metallic Red Smoke to Red Carbon SmokeDas Madone SLR 6 ist eine waschechte Rennmaschine, die gar nicht anders kann, als unglaublich schnell zu sein. Der Rahmen aus 800 Series OCLV Carbon mit exklusiver IsoFlow Technologie sorgt fr einen beeindruckenden aerodynamischen Vorteil, senkt das Gewicht und glttet die Strae. Das Madone SLR ist durchweg mit verlsslichen Komponenten bestckt wie etwa Shimanos neue drahtlose, elektronische 105 Di2 Schaltung , die dich am Renntag auch dann nicht im

Das Madone SLR 6 ist eine waschechte Rennmaschine, die gar nicht anders kann, als unglaublich schnell zu sein. Der Rahmen aus 800 Series OCLV Carbon mit exklusiver IsoFlow-Technologie sorgt für einen beeindruckenden aerodynamischen Vorteil, senkt das Gewicht und glättet die Straße. Das Madone SLR ist durchweg mit verlässlichen Komponenten bestückt – wie etwa Shimanos neue drahtlose, elektronische 105 Di2-Schaltung –, die dich am Renntag auch dann nicht im Stich lassen, wenn es mal wieder etwas hitziger zur Sache geht. Außerdem kommt dieses Racebike mit entscheidenden Upgrades – wie etwa die Carbonlaufräder, die dank des hohen Felgenprofils eine noch bessere aerodynamische Performance garantieren.

Ausstattung:

Rahmen: 800 Series OCLV Carbon, KVF-Rohrprofil (Kammtail Virtual Foil), IsoFlow-Sitzrohr, unsichtbare Zugführung, aerodynamische 3S-Kettenführung, T47-Innenlager, Flat Mount-Scheibenbremsaufnahme, 142 x 12 mm Steckachse
Gabel: Madone, Vollcarbon mit KVF-Profil, konischer Carbongabelschaft, interne Bremszugführung, Flat Mount-Scheibenbremsaufnahme, Carbonausfallenden, 12 x 100 mm Steckachse
Rahmenpassform: H1.5 Race
Vorderrad: Bontrager Aeolus Pro 51, OCLV Carbon, Tubeless Ready, 100 x 12 mm Steckachse
Hinterrad: Bontrager Aeolus Pro 51, Tubeless Ready, Shimano 11/12fach-Freilaufnabe, 142 x 12 mm Steckachse
HR-Schnellspanner: Bontrager Switch-Steckachse, abnehmbarer Hebel
Felge: Bontrager Aeolus Pro 51, OCLV Carbon, Tubeless Ready, 100x12mm thru axle
Reifen: Bontrager R3 Hard-Case Lite, Aramidwulstkern, 120 TPI, 700 x 25C
Max. Reifengröße: 28C
Schalthebel: Shimano 105 R7170, 12fach
Umwerfer: Shimano 105 R7150, Anlötversion, Down-Swing
Schaltwerk: Shimano R7150
Kurbel: Shimano 105 R7100, 50/34 Z., 165 mm Kurbelarmlänge (47)
Kurbel: Shimano 105 R7100, 50/34 Z., 170 mm Kurbelarmlänge (50/52)
Kurbel: Shimano 105 R7100, 50/34 Z., 172,5 mm Kurbelarmlänge (54/56/58)
Kurbel: Shimano 105 R7100, 50/34 Z., 175 mm Kurbelarmlänge (60/62)
Tretlager: Praxis, T47, mit Gewinde, innen gelagert
Kassette: Shimano 105 7100, 11-34 Z., 12fach
Kette: Shimano SLX M7100, 12fach
Max. Kettenblattgröße: 1x: 50 Zähne, 2x: 54/40
Sattel: Bontrager Aeolus P2 Elite, 155 mm Breite (47/50/52)
Sattel: Bontrager Aeolus Elite, Austenitstreben, 145 mm Breite (54/56/58/60/62)
Sattelstütze: Madone, aerodynamischer interner Carbonsitzturmaufsatz, integrierte Rücklichthalterung, 0 mm Versatz, kurz (47/50/52/54)
Sattelstütze: Madone, aerodynamischer interner Carbonsitzturmaufsatz, integrierte Rücklichthalterung, 0 mm Versatz, lang (56/58/60/62)
Integrierte Lenker-Vorbau-Einheit: Madone Integrierte Lenker-/Vorbau-Einheit, OCLV Carbon, 380 mm Breite, 80 mm Vorbaulänge (47)
Integrierte Lenker-Vorbau-Einheit: Madone Integrierte Lenker-/Vorbau-Einheit, OCLV Carbon, 400 mm Breite, 90 mm Vorbaulänge (50/52)
Integrierte Lenker-Vorbau-Einheit: Madone Integrierte Lenker-/Vorbau-Einheit, OCLV Carbon, 420 mm Breite, 90 mm Vorbaulänge (54)
Integrierte Lenker-Vorbau-Einheit: Madone Integrierte Lenker-/Vorbau-Einheit, OCLV Carbon, 420 mm Breite, 100 mm Vorbaulänge (56/58)
Integrierte Lenker-Vorbau-Einheit: Madone Integrierte Lenker-/Vorbau-Einheit, OCLV Carbon, 440 mm Breite, 110 mm Vorbaulänge (60/62)
Lenkerband: Bontrager Supertack Perf Lenkerband
Bremsscheibe: Shimano SM-RT70, Center Lock-Scheibenaufnahme, 160 mm
Bremsscheibendurchmesser: Max. Bremsscheibendurchmesser: 160 mm vorne & hinten
Ladegerät: Mit Ladekabel
Gewicht: 56 - 7,75 kg / 17,09 lbs
Max. Gewicht: Dieses Fahrrad hat eine maximale Gewichtsbeschränkung (Fahrrad, Fahrer und Beladung) von 125 kg.

* In seltenen Fällen liefern unsere Hersteller Fahrräder mit geänderten, aber gleichwertigen Komponenten.

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SKU: 21040834819

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4.3 ★★★★★
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Zay
Dallas, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Whiting, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
C
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Cory P.
Chelsea, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
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Frank Gonzalez
Carnegie, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
San Leandro, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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