r/eliteexplorers•
CloudML

What are your experiences of both the Anaconda and the Asp for long distance exploring?

As the title asks, for those who have piloted both the Asp and the Anaconda, which do you prefer for exploring long range in? I have done some exploring in the Asp but returned when I got Horizons in the recent sale to get a SRV and gather jumponium materials. I have tried on some short test runs (including landing) both exploration loadouts (asp anaconda) and am still undecided. My thoughts so far:

The Asp has a great cockpit view and is manoeuvrable in supercruise, both good traits for when you want to scan a lot of systems. It also has a much easier time landing and exploring planets than the anaconda, thanks to its smaller size, better thrusters and the extra visibility of its cockpit. Where it falls short is the need to remove one of the AFMU to fit a 8T cargo rack in case I find anything interesting to bring back, losing the ability to repair the AFMU themselves; the weight of any cargo found having more impact on jump range compared to the anaconda; and its more vulnerable on the return journey due to weak shields (5D would push jump range down more than 4D) and more easily mass locked (no quick SC escapes).

In comparison the Anaconda has ample internals for extra cargo racks and an extra SRV in case of accidents, and a better FSD to support that extra weight. It doesn't turn as well as the Asp and its view more restricted, but I'm not sure if that's something I'll adjust to or whether it'll become a annoyance far from the bubble. It's also more difficult to land, where it's size and the previous two traits make it tricky when you're looking to land somewhere specific. However, it is an impressive ship and has a certain presence to it while travelling and the extra jump range would get me to the core more quickly and help if I decide to explore in sparse regions reducing the need for boosts, plus the return trip is less risky with better shields and more hull.

I would appreciate your own experiences.

Posted Feb 21, 2016, 9:21 PM UTC

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