No crystal ball: every RIZVAL prediction follows the same rigorous process, from data collection to publication. Here's how it works.
Every prediction starts with verifiable data: recent form of teams or players, head-to-head history, performance stats (possession, xG, tennis serve percentage, etc.), and market odds movements. We never rely on a single source.
Data is updated continuously until kickoff, so the published reasoning always reflects the most recent state of the upcoming match.
We don't treat a tennis serve like a corner kick in the French league. Each sport has its own statistical model, built and refined by a team member specialized in that sport, to capture what actually matters in that discipline.
Alongside our per-sport models, we've built in-house software that scans all upcoming matches and surfaces the ones with the safest profile — based on team consistency, the gap in level between opponents, and how well market odds line up.
This software never replaces human analysis: it acts as a first filter, pointing our analysts toward the matches most worth digging into, ahead of the review and final validation described below.
The statistical model provides an estimate, but every prediction is then reviewed and validated by an analyst before publication — to factor in context a model alone might miss (last-minute injury, a match's special stakes, weather conditions).
For each scenario analyzed, RIZVAL estimates a probability of occurrence based on available data and the statistical models used. This probability is an estimate, not a certainty — it mainly lets us compare our assessment to the one reflected by the odds offered on the market.
Odds don't just represent the probability of an event happening: they also reflect the market's assessment. RIZVAL looks for situations where the probability estimated by its models is higher than the implied probability of the odds. This gap is an indicator of potential value.
The bigger this gap, the more statistically interesting the opportunity may be — subject to the quality of the data and the model. It is never a guarantee of a result.
RIZVAL doesn't just determine which scenario is most likely: the available odds are systematically factored in. A selection can be statistically likely while offering little interest if its price is too low. Our approach is to compare the probabilistic estimate to market odds in order to look for the most interesting gaps.
RIZVAL keeps a full history of its selections to objectively measure the performance of its approach. Every prediction is logged before the event starts, with its selection, odds and reasoning — results are then automatically added to the performance tracking, wins and losses alike.
See the verifiable history →No statistical model can predict the outcome of a sporting event with certainty. Sports performance is influenced by many unpredictable factors: last-minute injuries, refereeing decisions, in-game events, unusual conditions or performance swings.
The probabilities produced by RIZVAL should therefore be seen as statistical estimates, not guarantees of a result — which is why risk management (stake size, diversification) remains entirely your responsibility.
RIZVAL favors analysis, risk management and transparency over the promise of guaranteed profits.
The full reasoning behind every prediction is published alongside it, never just odds thrown out without explanation.
Every past prediction stays visible in the history, won or lost — no after-the-fact filtering.
A rigorous analysis is still an estimate. We never promise a certain win.