A team’s true level, what its season holds, where it stands in its league: measured figures, recomputed after every matchday, so that a destination is chosen or a negotiation prepared on something more than instinct.
The strengths and projections published by our model, untouched. Choose a league and three clubs: level, projected season, likely final position. The comparison is made within a single league — our indices are read relative to its average.
6th in the table · 9 pts from 5 matches
Final position, across 50,000 simulated seasons
10th in the table · 7 pts from 5 matches
Final position, across 50,000 simulated seasons
14th in the table · 4 pts from 5 matches
Final position, across 50,000 simulated seasons
TitleChampions LeagueOther European cupMid-tableAutomatic relegation
Probability of playing in a European cup next season: 68% with Liverpool, 4% with Sunderland.
Attack and defence: deviation from the league average, adjusted for the quality of the opposition faced (a defence at “−10%” concedes 10% fewer goals than an average defence). “Level”: the club’s rank by these strengths, not by the table. Source: Rondo public feed (competition-classement).
Computed across twenty-four competitions, recomputed after every matchday.
We are building a player-impact model: how far a team’s goals scored and conceded move depending on whether a given player is on the pitch. It does not yet feed into any client dossier.
Both models already know which teams are playing. Describing the team’s style improves the prediction slightly. Adding what each player produces triples the gain — and it holds out of sample, on matches held back during training. That is the evidence that the player signal is real, not a redescription of the team.
A first research result, on matches held out of training: an encouraging signal, not yet a product.
A written answer to a specific question: which club, in what context, with what chance of reaching which objective. Dated figures, with method and limitations included.
A document ready to share with a player, his family or a club: the destinations compared, the charts, and the date of every computation.
Time set aside to read the figures together and test another destination or another assumption, ahead of a decision or a negotiation.
Rondo Research is not an agency and represents no player: we provide statistical estimates; the decision and the negotiation remain yours.
Tell us which clubs you are comparing and what you need to decide. We will tell you what the figures can say about it, and what they cannot.
