LootCalc

Apex Pack Probability 2025: PC vs Console Base Rates, Loot Ticks, and the 500-Pack Pity Explained

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Last Updated:
By: LootCalc Team
Reviewed by Senior Math Editor · Last updated 2025-11-17
Apex pack probability hero with PC vs console curves and 500-pack pity marker

PC 1.1% vs console 1.0% base rates, seasonal +0.2–0.5% boosts, Twitch/Prime drops, and loot ticks all change when you hit heirloom shards. We translate EA's 500-pack rule into a real shard ETA using live pack logs and the Apex Pack Probability Calculator.

PC vs Console Apex Pack Odds: 1.1% vs 1.0% Base Rates

Apex's published base rates differ by platform: PC = 1.1%, Console = 1.0%. It sounds tiny, but over hundreds of packs the difference compounds. At 200 packs with no boosts, PC reaches ~89.7% cumulative shards, console ~86.7%. That 3% gap is 3 extra guaranteed outcomes per 100 players.

Why cross-progression needs a higher baseline

When EA merges inventories, the higher pity progress should follow you. If your PC account is at 340 packs (80% odds) and console is at 180 (45% odds), merging to the higher count preserves your historical EV. Track both counts before merge and document in the tracker.

Platform-specific loot tick math

Loot ticks (+0.02 each) stack on top of base rates. On PC with +0.3% seasonal boost and 6 ticks, effective per-pack rate becomes 1.1% + 0.3% + 0.12% = 1.52%. Console with the same boosts lands at 1.42%. Over 150 packs that’s ~8 extra percentage points of cumulative odds.

Check your region & updates

Respawn occasionally tweaks rates; always note patch versions in your log.

CTA: run your scenario

Plug your platform and boosts into the Pack Probability Calculator to see current odds.

500-Pack Pity Timeline: From 0 to Guaranteed Shards

EA's guarantee triggers at 500 lifetime packs. The question is how fast you get there once boosts, refunds, and Twitch drops join the party. With no boosts and no events, 500 packs equals every level-up pack plus store purchases. With seasonal events, many accounts hit pity around 420–470 packs.

Formula & Pseudocode – pity countdown

base = platform === 'pc' ? 0.011 : 0.01
effective = base + seasonalBoost + ticks * 0.0002
totalPacks = paid + eventPacks + refundPacks + twitchPacks
probability = totalPacks >= 500 ? 1 : 1 - (1 - effective) ** totalPacks
pityRemaining = Math.max(500 - totalPacks, 0)

Worked example – Season 23 PC plan

Edge case – pity already triggered

If pity triggered at 500, reset packs but preserve log rows; auditors need proof for future merges and refunds.

Common mistakes in pity math

Forgetting Twitch packs, double-counting event bundles, or ignoring cross-progression resets.

Seasonal Loot Ticks & Twitch Drops: +2% Bonuses in the Log

Loot ticks add +0.02 (2 percentage points) each. Six ticks equal +0.12% absolute per pack. Twitch/Prime drops often add 1–5 packs per month. Over a season, those combine into ~20–30 packs of value.

Data Snapshot – Pack Log (mirrors /data/apex/pack-log.csv)

date,platform,packs,ticks,refundPacks,shards,notes
2025-03-12,PC,122,4,6,false,"Seasonal boost +0.3%"
2025-03-20,Console,210,2,12,true,"Shards on pack 210"
2025-04-02,PC,340,6,8,false,"Cross-progression merge"
2025-04-15,PC,410,6,10,false,"Event + twitch drops"
2025-04-28,PC,500,0,0,true,"Pity trigger"

How to log ticks

Use a shared channel (#loot-ticks) and screenshot boosts with timestamps. Remove expired ticks after 24h.

Fair QA note

When data is missing, default to zero ticks; never guess positive boosts.

Variance reality

Even with ticks, dry streaks happen—communicate odds in ranges, not certainties.

Apex Pack Probability Curve: PC vs Console Visualization

The slope difference between 1.1% and 1.0% becomes obvious after 150–200 packs. PC reaches 95% around pack 200 with modest boosts; console requires closer to 220. Past 400 packs the curves converge because pity caps the tail risk.

Cumulative shard probability curve showing PC vs console with boost bands and 500-pack pity line
PC vs console cumulative shard odds with boost bands (+0.2%, +0.5%) and the 500-pack pity line; markers show loot ticks and event packs.

Image guide

Embed the chart from your Gemini render (see prompt) beneath this section. Annotate the 500-pack pity line and show two curves labeled PC/Console with boost bands (+0.2/+0.5).

Band math

Boost bands widen or narrow the shaded confidence area; mark +0.2 and +0.5 as upper/lower guides.

Cross-progression annotation

Draw a vertical line at the merge point to illustrate merged pity progress.

CTA to calculator

Add a button linking back to the pack calculator so readers can replicate the chart with their own numbers.

Governance & Audit Trail for Apex Pack Tracking

Tracking pity is compliance work for squads that pool spending. A repeatable audit trail prevents disputes and protects against miscounted merges.

Assumptions

Methodology (reproducible)

Logs sit in data/apex/pack-log.csv, pulled into the calculator and this article. Every entry keeps date, platform, packs, ticks, refunds, and shard state. Validation: re-run the log through the calculator and match the cumulative probability displayed.

Worked example recap

Season 23 PC plan above demonstrates how to turn totals into % and remainder-to-pity.

Common mistakes

Forget to reset after pity, miss Twitch packs, or double-count an event bundle.

FAQ: Apex Pack Probability 2025

How do loot ticks stack with base rates?

They add linearly to the per-pack rate (ticks × 0.02%), then run through the same 1 − (1 − p)^n formula.

Does platform matter after cross-progression?

Yes—use the higher pity count and the higher base rate (PC) if merging to PC; document screenshots.

Do Prime/Twitch drops count toward pity?

Yes. Log them as packs to keep probability honest.

When should I stop buying packs?

Once probability exceeds 90% and pity is within ~50 packs, consider waiting for free event packs.

What if EA changes base rates?

Update the calculator base inputs and annotate the log row with the patch date.

Can I export the calculator state?

Yes—use the share link and archive CSVs each season for QA.

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