How Our AI Rating Works
A next‑generation evaluation system for UK scratchcards
The Scratchcard.ai Score is our advanced rating framework designed to help players understand how different scratchcards compare in a clear, meaningful way. It doesn’t attempt to predict outcomes or imply that any game is financially advantageous. Instead, it blends behavioural‑science insights, probability modelling, and dynamic prize‑tracking to create a balanced comparison tool.
The system is built around well‑documented player motivations found in industry research — things like perceived value, the appeal of headline prizes, and the enjoyment of frequent smaller wins. Our approach is proprietary, but the principles behind it are grounded in published studies, real‑world data, and responsible‑play guidelines.
The Score at a Glance
Every scratchcard receives a score between 0 and 100, grouped into the following tiers:
| Score Range | Rating |
|---|---|
| 90–100 | Exceptional |
| 80–90 | Excellent |
| 70–80 | Very Good |
| 60–70 | Good |
| 50–60 | OK |
| Under 50 | Avoid |
These categories are not recommendations — they’re simply a structured way of showing how a game performs across several measurable dimensions.
What the Scratchcard.ai Score Considers
Different scratchcards offer different experiences, and the data available varies by game type. Our system adapts accordingly, with a combination of metrics including:
1. Value Indicators (RTP metrics)
We analyse how the expected long‑term return compares with other games.
2. Dynamic Jackpot Opportunity
Our AI monitors remaining‑prize data - evaluating the timeframe that games have been available. Naturally if the jackpots have been claimed, the score adjusts accordingly.
At its simplest - this will prevent “dead jackpot” games from appearing more appealing than they really are.
3. Accessibility & Cost Flexibility
We consider the minimum stake/price point
The score reflects how accessible each game is to different types of players.
4. Win Frequency (Hit Rate)
Using the published odds when available, the model incorporates how often wins occur on average.
5. Operator Offers (Online Games Only)
For digital instant‑win games, we factor in whether the operator provides bonuses or promotional value.
This varies between UKGC‑licensed operators.
6. Good Cause Contributions
The model gives weight to contributions made to UK good causes.
This ethical element reflects the fact that many players value supporting charitable initiatives.
A Transparent, Responsible Tool — Not a Predictor
The Scratchcard.ai Score is designed to support informed, enjoyable play.
It does not:
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encourage increased spending
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imply that any game is “smart” financially
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suggest that outcomes can be predicted
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promote chasing losses
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position scratchcards as a way to improve finances
It’s simply a way to help players understand the landscape more clearly — especially when remaining‑prize data changes the real‑world value of a game.
Scratchcards should always be fun, low‑stakes entertainment.
Only ever play with what you can comfortably afford to lose, and stop the moment it stops being enjoyable.