Datetime | Event | Fit version |
---|---|---|
2022 September 01 00:03:20 | Fit stats calculation finished. | Fit #11458 |
2022 August 31 23:41:14 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 22:41:12 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 21:41:12 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 20:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 19:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 18:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 17:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 16:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 15:41:14 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 14:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 14:09:24 | Updated status to Works | Fit #11458 |
2022 August 31 13:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 12:50:56 | Updated description | Fit #11458 |
2022 August 31 12:50:33 | Updated description | Fit #11458 |
2022 August 31 12:48:31 | Updated description | Fit #11458 |
2022 August 31 12:46:14 | Updated description | Fit #11458 |
2022 August 31 12:44:59 | Updated description | Fit #11458 |
2022 August 31 12:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 12:06:35 | Updated description | Fit #11458 |
2022 August 31 12:06:08 | Updated description | Fit #11458 |
2022 August 31 12:05:37 | Updated description | Fit #11458 |
2022 August 31 12:04:18 | Updated description | Fit #11458 |
2022 August 31 12:01:31 | Updated description | Fit #11458 |
2022 August 31 11:41:13 | Submitted fit for stats calculation | Fit #11458 |
2022 August 31 11:32:17 | Updated description | Fit #11458 |
2022 August 31 11:28:14 | This fit was updated. | Fit #11458 |
2022 August 31 11:28:14 | Submitted fit for stats calculation | Fit #11458 |
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SECTION 1:
This is an "imaginary" fit that stems from "just an idea".
By comparing the attributes of the Stabber Fleet Issue to those of the ordinary Stabber, and those of the Rupture, I noticed that the strengths of the SFI is thicker shield, and thicker armor, in addition to the 1 more high turret hard point, and the 2 more low slots. Through some tinkering with different modules, I find the best candidate module for the additional low slot: the Co-Processor... to increase CPU, which has been a bottleneck. It is as if "meant to be"!
In terms of speed, SFI is actually slower than an ordinary Stabber.
Back to the core idea of the fit, though, theorectically, I think, if I fit all rigs with shield extenders, and all but one middle slot (save one for propulsion) also with shield extenders, this would give full play to the "increased tank" strength of the SFI.
The higher shield hit points entail higher shield regen rate, naturally. The inherent shield regen with this fit is already higher than a Medium Shield Booster would provide alone.
The large signature that stems from all shield extenders and the absense of resistance modules mean this ship is expected to take full damage from opponents. The plus side to this fact though, is that this means this fit does not care about the resistance penalty of the abyssal environment, because the resistance can only be as low as zero, and cannot be a negative number.
The above is all based on theoretical thinking. Hopefully, this will be a rare fit capable of running abyssal Tier 2 for an alpha clone such as myself. I don't see alpha has many options for Tier 2, especially folks of the Minmatar faction.
I will test it in Tier 1. If Tier I is like a breeze, then I will test it in Tier 2. But this fit is uploaded before any such tests.
SECTION 2:
Preliminary test report in Tier 1: It works! as expected! Just like in other games, a "tank" character is easier to play than a "squishy mage" character! All enemies including the "mini-bosses" can simply be "ignored" -- they can't hurt you! Not dangerously fast at least. There is plenty of reaction time. Shield was never broken by more than 20%.
One trivial detail, though: the Mobile Tractor Unit need to come back into the picture. Due to inertia, the ship is too clumsy in picking up loots. Without the MWD, it is too slow; with the MWD, it always overshoots and need to turn back to pick up the loot.
The hope is high to be able to comfortably conquer Abyssal Tier 2 with this fit.
SECTION 3:
Final test results: Yes! It is viable -- a fit has been found for me as an alpha to comfortably run abyssal Tier 2. Even though only 1 test in Tier 2 has been done so far, I am fairly confident in making this positive conclusion. Shield was down to 60% in the first room. Then further down to 40% in the second room, which is the lowest point. But there was plenty of time to recover. (Bad luck with the loot this time, though, only slightly above the outcome of the last run in Tier 1.)
Priority in killing which enemy: whichever approaches me the nearest! Because it is the feature of Autocannons to fight up close! Basically, no special techniques are involved in piloting this ship. Very easy to use. Because it blatantly tanks all damages.
Upon entering a room, the first step is to go to the conduit gate and put down the MTU. Fight the enemies along the way toward the conduit gate, and then fight them standing still at the gate. When most enemies are down, get to 40km drone control range from the Extraction Nodes and direct the drones to smash the cans to make the loot available for the MTU.
Probably the drones can be sent out earlier to the can to save time. But it is difficult to monitor all the many "matters of caution" at the same time. Drones were sent out later in this case to have enough spare attention to watch out for drone safety.
used | available | |||
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CPU | 400 tf | 426 tf | |
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Powergrid | 1145 MW | 1259 MW |
580 dps
total dps![]() |
Weapons | 463 | dps |
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Drones | 117 | dps |
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Volley | 1337 | dmg |
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27 499 ehp | ||||
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5 882 ehp | ||||
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6 996 ehp | ||||
Total: 40 378 ehp |
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80 ehp/s
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80 ehp/s
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Lasts for 410 seconds | ||
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1 255 | GJ |
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2 184 | m/s |
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1 126,9 | m |
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50 000 | m |
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381 | mm |
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21.6 | str |
Duration | Abyss type | Abyss tier | Loot value | Submitted | ||
---|---|---|---|---|---|---|
18:19 | ![]() |
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9,721,201 ISK | 2022-09-15 03:58:40 | ![]() |
|
16:21 | ![]() |
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3,888,727 ISK | 2022-09-15 02:35:18 | ![]() |
|
18:48 | ![]() |
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6,591,404 ISK | 2022-09-15 02:12:57 | ![]() |
|
10:51 | ![]() |
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2,573,253 ISK | 2022-09-12 13:54:41 | ![]() |
|
17:28 | ![]() |
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4,542,890 ISK | 2022-08-31 14:04:40 | ![]() |
|
17:30 | ![]() |
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3,517,486 ISK | 2022-08-31 13:39:35 | ![]() |
|
16:54 | ![]() |
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4,351,826 ISK | 2022-08-31 13:15:34 | ![]() |
|
18:55 | ![]() |
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4,498,361 ISK | 2022-08-31 12:31:35 | ![]() |
|
14:23 | ![]() |
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3,420,013 ISK | 2022-08-31 11:54:14 | ![]() |
The information below was calculated from 9 user submitted runs (displayed left).
13,83
M ISK/h![]() |
Tier | 2 |
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Type | Electrical |
04:04:46
hh:mm:ssAvg. ISK/run | 4,03 | M ISK |
Avg. run duration | 17:29 | time |
Break even point | 14 | runs |
Type | Tier | Runs | Time | ISK/Run | ISK/Hour | Runs 80 | Time 80 | ISK/Run 80 | ISK/Hour 80 |
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2 | 17:29 | 4,03 M ISK | 13,83 M ISK | 2 | 17:29 | 4,03 M ISK | 13,83 M ISK |
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5 | 17:51 | 5,81 M ISK | 19,52 M ISK | 4 | 17:44 | 4,83 M ISK | 16,34 M ISK |
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1 | 10:51 | 2,57 M ISK | 14,23 M ISK | 1 | 10:51 | 2,57 M ISK | 14,23 M ISK |
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1 | 14:23 | 3,42 M ISK | 14,27 M ISK | 1 | 14:23 | 3,42 M ISK | 14,27 M ISK |