(Secondary arcane)
Secondary Fortifier
Gain 1 Overguard for every 100 Damage dealt to an enemy's Overguard. Deals x8 Extra Damage to Overguard.
- Rarity
- Rare
- Ranks
- 0 – 5
- Goes on
- Secondary
- Introduced
- 36
One of 18 secondary arcanes on this site, and one of 17 at rare.
(In the planner)
The planner shows this arcane on a build but does not add it to the stats. Its effect is not one the engine models — either it is derived from something the sheet does not track, or the wording does not pin a figure we could defend. The same rule governs mods whose values have not been checked: a figure this site prints is a figure it can defend, and one it cannot defend is left out rather than guessed at.
Secondary arcanes do not have a slot in the planner yet — Warframe builds are the ones with arcane slots today.
(Where it comes from)
- Sister Of Parvos (Ascension Mode Steel Path) Uncommon 20%
- Nokko: Corporate Restructuring (Steel Path) Rotation C Uncommon 10%
- Nokko: Critter Liberation Rewards (Steel Path) Rotation C Uncommon 10%
- Nokko: Weed The Gardens Rewards (Steel Path) Rotation C Uncommon 10%
- Nokko: Corporate Restructuring (Steel Path) Rotation B Rare 8%
- Nokko: Corporate Restructuring Rewards Rotation C Rare 8%
- Nokko: Critter Liberation Rewards (Steel Path) Rotation B Rare 8%
- Nokko: Critter Liberation Rewards Rotation C Rare 8%
- Nokko: Weed The Gardens Rewards (Steel Path) Rotation B Rare 8%
- Nokko: Weed The Gardens Rewards Rotation C Rare 8%
- Sister Of Parvos (Ascension Mode) Uncommon 6.6%
- Nokko: Corporate Restructuring Rewards Rotation B Rare 4%
And 2 more locations at lower odds.
Where the same place appears under several reward tables it is listed once, at the best odds it offers — that is the figure a farm can actually achieve. A dash means the source is known but carries no published chance, which is usually a vendor rather than a drop.
The effect text above is the Warframe Wiki's wording, CC BY-SA. The sources are the community export's. The counts and placements on this page are computed from our own dataset.