Quick answer: Test leaderboards as adversarial systems: scores must be validated server-side against what is physically possible, submissions must resist tampering and replay, and ties must resolve deterministically. The integrity-killing bugs are client-trusted scores, no upper bound on plausible values, and inconsistent tie ordering that makes ranks flicker. A leaderboard nobody trusts is worse than no leaderboard at all.

A leaderboard is a promise that the numbers mean something, and the moment players see an impossible score at the top, the promise is broken and they stop competing. Leaderboard integrity is fundamentally an adversarial problem: anyone who can submit a score will eventually try to submit a fake one. QA here is not about confirming that a legitimate score appears in the right place; it is about confirming that an illegitimate one cannot, that submissions cannot be tampered with or replayed, and that ties resolve the same way every time. This post covers how to test score validation, anti-cheat, and tie handling so your leaderboards stay credible.

Never trust a client-submitted score

The cardinal rule is that the server, not the client, decides what score is valid, and your tests should try to violate it. Attempt to submit scores directly to the leaderboard endpoint, bypassing the game entirely, and confirm the server rejects anything it cannot justify. If a player can craft a request that posts an arbitrary number, your leaderboard is decorative. Test that submissions are authenticated, bound to a real session, and validated against server-side knowledge of what happened.

Where full server simulation is impractical for an indie game, test the next best defenses: sanity bounds on what a score can be, consistency checks against the run's duration and events, and signed or session-bound submissions that resist forging. The goal is not perfection but raising the cost of cheating above casual effort and catching the implausible. Test that a score exceeding any humanly achievable value is rejected outright, because an unbounded leaderboard invites exactly the score that destroys trust.

Test against impossible and tampered scores

Build a corpus of cheating attempts and run it against your validation: scores higher than the theoretical maximum, scores achieved faster than physically possible, scores with internally inconsistent metadata like more points than the level can yield. Confirm each is rejected or flagged. This is the leaderboard equivalent of fuzzing, and it surfaces the gaps where your validation trusted a value it should have checked.

Test tampering and replay explicitly. Capture a legitimate submission and try to resubmit it, modify it, or replay it under a different identity, and confirm the server detects each. A submission with no nonce or session binding can be replayed to inflate a score or impersonate a run. Also test boundary-legitimate scores, the genuinely excellent runs that sit just under your sanity bounds, to confirm you are not rejecting real achievements while blocking fakes. The line between impressive and impossible is exactly where this testing earns its keep.

Resolve ties deterministically

Ties are an underestimated source of leaderboard bugs. When two players share a score, the leaderboard must order them by a consistent secondary rule, like earliest achievement time, and that rule must be applied the same way everywhere. Test that tied entries do not flicker between positions on refresh, that the tiebreak is deterministic, and that it is fair and explainable. A rank that jumps around when nothing changed makes the whole board feel arbitrary.

Test ties at the boundaries that matter: a tie for first place, a tie at the cutoff for a rewarded bracket, and ties across pagination boundaries where ordering bugs hide. Confirm that two tied players near a reward threshold are resolved consistently so the same player always lands on the rewarded side, never randomly one then the other. Floating-point scores deserve special attention, since values that look equal may differ in the last bits, producing phantom non-ties or unstable ordering that confuses players.

Test scope, resets, and segmentation

Leaderboards are usually sliced: global, regional, friends, daily, weekly, all-time, and each slice is a place where integrity and correctness can break. Test that a score lands in every leaderboard it should and none it should not, that regional boards reflect the right region, and that friend boards include exactly the right players. A score that appears globally but is missing from the friends board, or vice versa, confuses the players who care most about ranking against people they know.

Periodic boards add reset timing, which inherits every timezone hazard. Test that a daily or weekly board resets exactly once per period, that scores are archived rather than lost, and that a submission landing right at the reset boundary goes to the correct period. Confirm that resetting one board does not corrupt another and that historical boards remain accurate. Segmentation and resets are where a correct validation pipeline can still produce a wrong-looking leaderboard, so they need testing in their own right.

Setting it up with Bugnet

Leaderboard problems are reported as theres a cheater at the top or my score is missing, rarely with the detail you need to tell a real bug from a misunderstanding. Bugnet's in-game report button captures game state automatically, so a report about a suspicious score or a missing entry arrives with the player's run context, platform, and build, which helps you distinguish an actual validation gap from a legitimate but surprising score. That context is what lets you investigate rather than guess.

Integrity issues cluster around specific exploits and specific boards, so Bugnet's occurrence grouping folds duplicate reports into one issue with a count and shows which complaint is spreading, often the first signal that a cheat has gone public. Add custom fields for the leaderboard scope and the suspected issue type, then filter to see whether reports concentrate on the global all-time board or a particular regional one. One dashboard, grouped and ranked, turns a flood of cheater accusations into a clear signal of which validation gap to close first.

Treat the leaderboard as adversarial forever

Leaderboard integrity is not a feature you finish; it is a posture you maintain, because every popular board attracts new exploitation. Keep your cheating corpus growing, add every real exploit you discover as a permanent test, and re-run validation tests whenever you change scoring, submission, or the boards themselves. The asymmetry favors attackers, who need one gap, while you must close them all, so a standing regression suite is your only sustainable defense.

Pair automated validation tests with a habit of watching the top of every board the way players do, because the most visible integrity failure is an obviously fake score sitting at rank one. Decide in advance how you will remove invalid scores and recompute ranks, and test that removal pathway too, so a cheat that slips through can be cleaned up without breaking legitimate entries. A leaderboard that players believe in is a powerful retention engine; one they do not is dead weight, and the difference is how relentlessly you test its integrity.

A leaderboard nobody trusts is dead weight. Validate server-side, reject the impossible, resolve ties deterministically, and keep testing forever.