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A Webzilla Creators product

Football Predictions, Honestly Tuned.

A structured fixture prediction engine we're openly improving. We'll publish real, settled accuracy when there's enough of it to mean something — never before.

At a Glance

Category
saas
Industry
sports analytics

If you've spent any time around Kenyan football betting, you've seen every flavour of the scam. Tipsters demanding 5,000 KES "for sources in Europe", then blocking you the moment you pay. The 30-person split scam — they tell ten people one outcome, ten another, ten a third, then re-pitch the winners. "Why is this tipster selling guaranteed 214 odds for 5k instead of staking their life savings?" is the punchline KenyaTalk users use. Premium VIP groups charging 15,000 a month with no public ledger of past picks.

PredictPitch is the inverse of that. It's a structured football fixture scoring engine we're openly tuning. The model has shown promising accuracy on specific tuning windows, but until we have enough fully-settled history to be honest about it, we won't quote a headline number — and we are explicitly suspicious of any product that does. We will publish real settled accuracy when there's enough of it to mean something.

If you're an analyst, a researcher, or someone building a fantasy app and you want a calibrated probability source rather than vibes, talk to us. If you're looking for tipster-style "guaranteed wins", we are not that and we won't pretend to be.

The Problem

What's broken today

  • Telegram tipsters demanding 5,000 KES then blocking you the moment you pay
  • Bet slips Photoshopped to show 100k–2M wins that never happened
  • The 30-person split scam — pitched to 10 different people on different outcomes, winners re-pitched, losers blocked
  • VIP tipster groups at 15k a month with no transparent ledger of past picks
  • Bookmaker odds embed margin, not pure probability — and tipsters cherry-pick winning bets, ignoring losses
  • Even when picks are honest, you can't audit the methodology
The Solution

How PredictPitch fixes it

  • A structured scoring engine you can audit — no black box, no vibes
  • Daily slips that skip when there isn't real signal — silence is more honest than fake confidence
  • Honest reporting of model performance, when there's actually enough history to report
  • We will never publish a cherry-picked accuracy number to win a sale
Features

Everything you need, built in

Daily fixture slips

A ranked daily slip when the model has actual signal. When there's no signal, we skip the day rather than fake confidence.

Backtesting in development

We're building proper historical backfill so settled accuracy can be reported transparently — including losses.

Calibrated probabilities (planned)

Probability outputs (not just picks) on the roadmap once the settled-history dataset is large enough to honestly calibrate.

Open about what's not done

Features in development say so. Where we don't have data, we say that too.

What you get out of it

  • A probability source you can actually audit — no Photoshop, no cherry-picks
  • Honest reporting instead of "sure bet" claims that vanish the moment you pay

Who it's for

  • Researchers wanting a reproducible probability source for football analysis
  • Fantasy app prototypes needing real model output
  • Analysts curious about whether a structured model can outperform vibes
FAQs

Common questions

We've seen promising accuracy on tuning windows. We are deliberately not publishing a headline number until we have enough fully-settled history to make it meaningful — that's the honest answer.

Want PredictPitch for your business?

Webzilla Creators ships and supports PredictPitch for Kenyan and pan-African organisations.