AVS 1
AVS 2
AVS 3
Per-AVS breakdown
Reward, expected annual drag and the break-even probability for each AVS on its own. A highlighted row means that AVS's own slashing probability input is already above the rate at which its reward stops covering its risk.
| AVS | Reward APY | Expected drag | Break-even probability | Status |
|---|
Why stacking AVS changes the risk, not just the yield
Every AVS you opt into pays its own reward APY, and it's tempting to just add them up and assume the risk scales the same gentle way. It doesn't. Each AVS's slashing condition is written against your full restaked balance, so three AVS means three full-severity ways to lose stake on the same capital, not one severity split three ways. This calculator sums the expected drag across your chosen AVS and nets it against the combined reward, then separately checks what happens if those AVS all sit behind one operator — the case where a single infrastructure fault can trigger more than one slashing event in the same incident. Compare the position sizing question this answers against liquid restaking risk for a single LST/LRT, and against restaking points if you're farming the same deposit for an airdrop on top of the yield.
The math
Each AVS's expected annual drag is its slashing probability times its slashing severity: dragI = (probI/100) × (severityI/100) × 100. Summing the reward APYs and subtracting the summed drags gives the expected net APY — the number you'd converge to on average across many independent years, since each AVS's fault is treated as its own separate event.
Each AVS's break-even probability is rewardI ÷ severityI × 100 — the annual slashing probability at which that AVS's own reward exactly cancels its own expected loss. An AVS is net-negative on its own once its real-world slashing probability climbs above this line, regardless of how the other AVS in your stack are doing.
When AVS share one operator, the tail scenario assumes a single fault can trigger all of them together: tailSeverity is the sum of every AVS's severity (capped at 100% of stake), and tailProbability is approximated as the highest single AVS's own annual fault rate — the "some fault happens somewhere in the stack" rate. tailExpectedLoss = tailProbability × tailSeverity nets against the same reward total to give the correlated net APY, which is usually close to the independent-sum result on average but represents a far larger single-event loss if it actually happens.