Model available
Football
Poisson + Dixon–Coles, team form, home/away performance, recovery and a de-margined market.
FormPoissonDixon–ColesHome/away
Four specializations
Every prediction, clearly explained.
Upload an event screenshot. AI recognizes it; the server model verifies the data, calculates probabilities and explains every factor.
Free after sign-up: 3 trial analyses to start, then 1 per week. No card required.
Or via Telegram: @bet_analytic_tech_bot — send the screenshot to the bot and the report arrives in the chat.
How it works
Three steps to a report
Nothing to type by hand: a screenshot of the line from a bookmaker app is enough.
1
Upload a screenshotAny screen showing the participants, competition, date and odds works. JPEG or PNG.
2
Confirm what was recognizedAI extracts the data, you confirm it in seconds. Unknowns stay marked as unknown; nothing is made up.
3
Get the reportModel probabilities against the de-margined market, factors, an uncertainty range and a verdict. The prediction is frozen before kickoff and checked against the result later.
Football · Training League · 18 September 2026, 19:00North — South
1 1.85 X 3.60 2 4.20
Will not work: a screen without odds or date, or a blurry photo of a screen.
What you get
This is what a report looks like
Built on training data: teams and numbers are illustrative, the structure is real.
Final assessment
North — South
18 September 2026, 19:00 · Football · Training League
1 · North48%market 51%
Draw29%market 26%
2 · South23%market 23%
↑
The model sees a statistical edge: draw29% versus 26% for the market after removing the margin. The gap is moderate and within the ±4 pp range, so the verdict is marked as cautious.
Why the model thinks so
- North: 5 home matches unbeaten+
- Both teams score little+ draw
- South: two days of rest after a cup match−
- Matches used38
- Statistics period12 months
- Sources2
- Missing datalineups, injuries
The probability is an estimate given the available data, not a guarantee of the result.
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Auditable methodology
Trust comes from evidence
We disclose sources, sample size, freshness, uncertainty and missing data.
Review model quality1
AI recognizes onlyProbabilities are calculated by the server, not generated as free-form AI text.
2
No invented factsIf a fact is not verified, it does not enter the calculation.
3
Outcomes are verifiedA prediction is frozen before the event and later compared with the official result.
Start with one screenshot
Review the recognized data and get a clear report without a black box.
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