How Many Cheaters Are Hiding on PUBG's Leaderboard? We Checked 200 Accounts' banType — the Answer Was 0

How this was made (method & sample) Source: the PUBG official API's Asia (pc-as) squad-FPP leaderboard, current season pc-2018-42. We took the top 200, used purely statistical thresholds (ADR and win rate — both returned directly by the official API, nothing estimated) to flag accounts whose numbers look too good to be human, then checked the official banType (Innocent / TemporaryBan / PermanentBan) for every flagged account plus an equally sized control group of unflagged accounts. Captured 2026-07-26. No account is named and no individual ranking is published — the reasons are in sections three and four.

We wanted to answer one question: can numbers alone catch a cheater? We pulled the entire top 200 of the Asian squad-FPP leaderboard, filtered it through statistical thresholds, then checked every result against the official ban record to see how well "catch cheaters with data" actually holds up.

The thresholds: how absurd does a number have to be?

These 200 players are already the top of the ladder — median ADR 427, median win rate 30%, well beyond what an ordinary player reaches. So we deliberately set "suspicious" far higher, keeping only genuine outliers:

• ADR consistently above 700 (this elite group's own median is 427; even their P90 is only 620)
• Win rate above 60% (the median is 30% — this means winning more than half your matches)

We originally set two more thresholds, KDA > 10 and kills per match > 8, but this endpoint returned no usable KDA or kill figures — consistent with another known limitation of the official API (the ranked season endpoint's K/D also frequently returns 0). Those two filters never actually ran. That isn't "we found no anomalies"; the data simply wasn't there, and saying so is more useful than pretending the filter worked.

13 of 200 accounts post numbers that look too good to be human

Within the top 200, 13 accounts (6.5%) tripped at least one threshold — 7 on ADR, 8 on win rate, with 2 hitting both. Those 13 have a median ADR of 706 (1.65× the 427 median of all 200), topping out at 801, and a median win rate of 62.7%, topping out at 79%.

Worth noting: the two signals rarely fire together. Only 2 of the 13 broke both thresholds; the other 11 tripped exactly one. Of the 5 flagged on ADR alone, win rates landed at a perfectly ordinary 33–56%. The 6 flagged on win rate alone are more interesting still: 2 had ADR near the threshold (659, 685), but the other 4 had ADR below the overall median (207–274) — winning a lot while dealing less damage than average, which looks nothing like the "pure damage" anomaly pattern. Watching a single number misses the other kind of outlier entirely, which is why we ran both thresholds rather than picking the most dramatic one.

Checking banType: flagged and unflagged came back identical

With 13 flagged accounts in hand, we queried the official /players/{id} banType for each, plus 40 unflagged accounts as a control group:

Both groups came back identical — every single account reads Innocent. Read that result alone and you'd conclude the leaderboard is clean. The next section is why you shouldn't.

⚠️ This doesn't prove the leaderboard is clean — it proves banType's limit

banType only tells you an account has already been banned. It cannot see a cheater who hasn't been detected yet. PUBG's anti-cheat largely works in ban waves: evidence is gathered, then accounts are actioned in batches, with a delay in between. No record does not mean innocent — it means "not caught yet."

That is exactly why the flagged and control groups look the same: 0% banned is equally consistent with "both groups really are clean" and with "this batch of cheaters simply hasn't been caught yet." One snapshot cannot tell those apart. This is our standing position: rather than declaring "that's a cheater" the moment a number looks absurd, admit the honest version — a statistical outlier is worth suspicion, but a clean banType was never proof of innocence, only a report of what the official system currently knows.

Being honest: what this method didn't verify

Beyond the two thresholds that never ran for lack of data, the sample has built-in limits: a single region, a single season snapshot, the top 200 only. That is not broad enough to rule out the coincidence that this particular batch happens to contain no cheaters. Rerunning the same pipeline on another region or another season and getting a different answer would not be surprising — which is precisely why the method and sample sit at the top of this article rather than a single sensational number.

Conclusion

Of the top 200 on the Asian squad-FPP leaderboard, 6.5% post statistically abnormal numbers — yet as of the 2026-07-26 check, both the flagged group and the ordinary control group show a 0% ban rate. That is not evidence the leaderboard is clean. It is a reminder that neither a statistical filter nor a clean banType is enough to judge an account — which is why this site's leaderboard and percentile system never stamp a verdict on an individual from a single outlier.

Curious where your own numbers land? Enter your PUBG ID on L!NCHPIN and see how your ADR and win rate compare with this elite distribution.

Data is a single snapshot taken 2026-07-26. banType changes with each official ban wave, so these figures do not update live. The sample is the top 200 of the Asian squad-FPP leaderboard — a slice off the top of the pyramid, not representative of ordinary matches. No account is named and no individual ranking or account information is disclosed.