How Casinos Analyzer Calculates Bonus Scores

Why Player Votes Power Our Rankings

Bonus terms on paper rarely tell the whole story. A welcome offer that looks generous can become frustrating once you try to meet wagering requirements, hit game restrictions, or request a withdrawal. The only people who truly know whether a bonus delivers are the players who have claimed it.

That's why every bonus on CasinosAnalyzer is open to community voting. When a player tries a bonus, they can mark it as Worked 👍 (fair terms, achievable requirements, successful cashout) or Not Working 👎 (hidden restrictions, impossible wagering, issues collecting winnings). These votes feed directly into a calculated score that determines each bonus's ranking and status.

No editorial opinion. No paid placement. Just aggregated player experience.

The Problem with Simple Averages

Before explaining what we do, it`s worth understanding why a straightforward percentage doesn`t work well for ranking bonuses – especially newer ones with few votes.

Consider this scenario: Bonus A has 5 votes, all positive – a 100% approval rate. Bonus B has 600 votes, 500 positive – an 83% approval rate. A simple ranking puts Bonus A first. But is it really better? With only 5 data points, a couple of negative votes next week could drop it to 60%. Bonus B`s 83% is backed by 600 real opinions and is far more reliable.

A pure percentage treats a sample of 5 and a sample of 600 as equally trustworthy. They are not. This is the core problem our system solves.

SAME APPROVAL RATE — VERY DIFFERENT RELIABILITY

Despite a lower raw approval rate, the bonus with 600 votes ranks higher — because its score is statistically trustworthy.

The Wilson Score: Our Solution

We use the Wilson Score Lower Bound – the same statistical method used by Reddit for post ranking, Amazon for product reviews, and YouTube for video quality signals. It calculates the lower boundary of a confidence interval around the true approval rate, factoring in both the observed percentage and the number of votes.

The Wilson Score gives a conservative answer to the question: "Given the votes we`ve seen so far, what`s the most pessimistic reasonable estimate of this bonus`s true approval rate?" This penalises bonuses with few votes while rewarding those with a large, consistently positive sample.

✅ Key properties of Wilson Score: It never produces values below 0% or above 100%. It gracefully handles edge cases like zero dislikes. It is stable over time – scores converge predictably as votes accumulate rather than swinging wildly.

The Formula

The Wilson Score Lower Bound at 95% confidence is calculated as follows:

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You don't need to understand the mathematics to use our scores. The short version: a higher Wilson Score means the bonus is both well-liked and well-evidenced by a meaningful number of players.

Quality Labels Explained

Every bonus is assigned one of four tiers based on its Wilson Score and total number of votes. Verification requires meeting minimum thresholds on both dimensions.

What You See on Bonus Cards

Each bonus on CasinosAnalyzer displays a performance block that summarises community feedback in plain language. The text and heading shown depend on the bonus's current quality tier:

Bonuses that are still gathering votes show no performance block at all – there simply isn't enough data to say anything meaningful yet. Once votes start coming in but the picture is still mixed, the block reads Mixed performance and shows whichever outcome – Worked 👍 or Not working 👎 – the majority of voters reported.

Bonuses that are gaining popularity or have reached verified status both display Good performance alongside a Worked 👍 count, because their scores reflect consistent positive feedback. At the other end, a low quality bonus shows Poor performance and always surfaces the Not working 👎 tally – a clear warning that most players ran into problems.

In every case, the numbers you see – for example, "47 of 55 users say it Worked" – are real, live vote counts updated each time a new vote is cast.

Our commitment to transparency

The methodology described on this page is the same one powering every bonus score on CasinosAnalyzer. We publish it openly because you deserve to understand how rankings are produced – not just trust that they are fair. If you believe a score is inaccurate or a bonus has changed, your vote is the most powerful correction tool available. Cast it, and the system updates automatically.