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EFT Evidence-First Loot Route Guide

A precise percentage is not useful when its target, eligibility rule, game state, sample, or source is unknown. This workflow keeps every assumption attached to the route comparison and avoids turning old observations into current game facts.

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1. Start with the official boundary

The publisher-provided Steam listing describes the core risk: raid loot matters only if the player gets it out. That establishes useful qualitative context for separating a find from an extraction. It does not publish the numeric target rates, route probabilities, market values, or timings required by a calculator.

Escape from Tarkov on Steam

2. Define one observable success event

Write down what success means before collecting data. “Target appeared at the location,” “target was picked up,” and “target was successfully extracted” are not interchangeable. A reusable definition should specify:

3. Grade the probability input

A number copied without its denominator and selection rule cannot support a rate claim. A small personal sample can still be useful for planning, but it should remain a personal estimate and should not be presented with more precision than the observations justify.

4. Separate finding from extracting

Let f be the chance that an eligible raid finds the target and e be the chance of extracting after that target has been found. The combined scenario chance is p = f × e. An overall survival rate is not automatically the same as e: finding the item may change route, time, risk, or player behavior. Estimate the conditional event that the formula actually uses.

5. Time a complete repeatable raid cycle

Start before queueing and stop when the next comparable attempt can begin. Include matching, loading, traversal, checks, fights or avoidance, extraction or death, healing, stash management, selling or storing, and re-queueing. Record several full cycles rather than timing only the best run. Use a median for a typical route comparison and keep the raw values when variability matters.

6. Keep tracked-item contribution narrower than raid profit

For a target value v, its gross expected contribution per raid is p × v. Subtracting a direct per-cycle cost produces a target-only net contribution, not total raid EV. A full economic model would also need every other loot outcome, carried and secured items, sales costs, equipment-loss treatment, insurance outcomes, recovery, tasks, price timing, and correlations. Do not label a one-target calculation as a universal profit route.

7. Compare scenarios with identical boundaries

Change one assumption at a time. Use the same target definition, eligibility rule, extraction condition, time boundary, price timestamp, and direct-cost rule. Save one calculator URL per route and keep the evidence note beside it. A route wins only the stated scenario; a different target, build, risk preference, or patch can reverse the comparison.

8. Keep a real observation log

date,mode,route,target,eligible_raids,target_finds,extracted_targets,full_cycle_minutes,value_snapshot,direct_cost_rule,source_url,notes
YYYY-MM-DD,mode label,route label,target definition,0,0,0,0,0,describe the cost,URL or personal sample,record actual observations

This is an empty schema, not claimed player data. Do not seed it with invented rows. If the route definition changes, start a new series instead of silently merging incompatible observations.

Use the scenario calculator

Enter your supported assumptions and measured cycle in the EFT Raid Target & Extraction Scenario Calculator, then save the URL with the observation note. The tool exposes cumulative thresholds and expected values without adding a hidden map or item preset.

Correction history

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