Shizu Eisenkreuz
Tribal Liberation Force
Minmatar Republic
22
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Posted - 2013.08.05 18:52:00 -
[1] - Quote
Hi, this is me:
http://eveboard.com/pilot/Shizu_Eisenkreuz
I played 3-4 months a couple years ago, using all the free remaps for some reason.
I returned a couple months ago with a per/wil remap and one remap available.
Right now I can't decide if I should stay with the current attributes or switch to a noob-friendly balanced remap to fill some big holes, wich would be trained at an awful rate with the current remap.
Right now I run L4s (a bit slowly but with zero risks) with a Malestrom and I just started some frig pvp in FW (epic killboard for the lols).
My current goals are:
- Machariel to optimize L4s and maybe try some incursions
- T2 projectile weapons
- improve my frigate skills and get into covops, assault frigates and interceptors
So the current remap would be perfect to train new guns and ships.
But looking at my skills, there is an awful lot of basic stuff in need of some serious training. Just some examples:
electronic upgrades
energy grid upgrades
shield upgrades
hull upgrades
mechanics
nanite operations and nanite interfacing
all the navigation stuff (seriously, I think this is the worst part)
science + biology
more jumpclones
All of this **** has INT as primary.
So basically, between my current goals and the obvious holes, I have stuff to train all over the place, wich made me consider one of those balanced remaps suggested to new players.
So I'm considering a few options:
- stick to the current per/wil remap for the essential stuff: all t2 projectile guns to level 4 and minmatar frigates to level 5 (a little more than 2 months) and then switch to a balanced remap to fix the holes and keep training new ships at a non-godawful rate
- stick to per/wil until I can fly all the desired ships and then move to a dedicated INT remap. This would optimize the training but the missing support skills would have to wait a long time. And I'm pretty sure I'll want to train new ships in the INT year.
- remap to balanced attributes right now, so i can train everything at a suboptimal, but not terrible, rate.
What would you do?
Thanks |