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A curated shortlist of stat-based player picks, sent the moment the markets open.

Over 3,411 player records read every round. Referees, form and the market price — free.

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Deniz Undav3+ shots 4/51.83 FC Bayern München v VfB Stuttgart 8 of 10 games 1 of 10 for a typical starter

Or open the tool · open the screener · see the track record

Widest gaps on the Fri 28 Aug slate

Premier League, Bundesliga, Championship, Ligue 1 and Serie A · each player's last 10 games against what a typical starter in that league manages

2026-08-27
  1. SHORTER PRICESthe strongest records
  2. Matías Fernández-Pardo 1+ shots on target
    Striker · Lille v Paris Saint-Germain Tough match-up give up the 2nd-fewest shots on target of 18 1.1 a game
    8/111.73 bet365 8 of 10 games 3 of 10 for a typical starter Shot map → Pro
  3. August Priske 2+ fouls committed
    Striker · Wrexham v Birmingham City Tough match-up give up the 2nd-fewest fouls of 24 2.3 a game
    4/51.83 bet365 7 of 10 games 2 of 10 for a typical starter Foul map → Pro
  4. AROUND EVENSa harder line, a bigger return
  5. Marc Guéhi 2+ fouls won
    Centre-back · Crystal Palace v Man City Soft match-up give up the 7th-most fouls of 20 1.7 a game
    11/82.38 bet365 7 of 10 games 2 of 10 for a typical starter Foul map → Pro
  6. Elliot Anderson 2+ fouls committed
    Central midfielder · Crystal Palace v Man City Soft match-up give up the 5th-most fouls of 20 1.7 a game
    11/102.10 bet365 7 of 10 games 2 of 10 for a typical starter Foul map → Pro
  7. Achraf Hakimi 2+ shots
    Full-back · Lille v Paris Saint-Germain Tough match-up give up the 1st-fewest shots of 18 1.9 a game
    EVS2.00 paddy-power 7 of 10 games 3 of 10 for a typical starter Shot map → Pro
  8. ALSO ON THIS SLATEranked on record, price not yet posted
  9. Serge Gnabry 2+ shots
    Attacking midfielder · FC Bayern München v VfB Stuttgart Tough match-up give up the 3rd-fewest shots of 18 2.6 a game
    8 of 10 games 3 of 10 for a typical starter Shot map → Pro
  10. Callum Doyle 1+ fouls committed
    Wide centre-back · Wrexham v Birmingham City Tough match-up give up the 9th-fewest fouls of 24 1.2 a game
    1/21.53 paddy-power 9 of 10 games 5 of 10 for a typical starter Foul map → Pro

Some rows carry no price yet. Bookmakers price player markets close to kick-off — usually inside two days — and not every fixture carries every market. The hit rates are complete either way.

Baseline = the share of player-games where a starter playing 60+ minutes met the same line, over finished fixtures in that league's most recent full season. Hit rates and match-ups are free — the model's verdict is the paid tool. See every player on the slate →

How this weekend's referees compare

Appointed officials

Each official's career card rate against the average for the league they work in, pulled toward that average where we hold fewer matches.

More cards than the league

Fewer cards than the league

Career figures across every season we hold, against that league's average over the same matches. A referee's tendency is one input the model applies to a player's own booking rate — it does not decide a card on its own. All officials →

729,591
predictions graded, out of sample · all 6 leagues
77/102
markets beat a base-rate baseline · across the leagues
5
seasons of data per league

From the live track record — calibration, not profit. Wins and losses alike: the model grades itself in public, including the markets where it's weak.

Why only 6 leagues? Because a market only ships once it beats guessing in that league. 5 seasons of match-by-match data sit behind each one. Of 102 markets tested, 77 earn a verdict — and the 25 that don't are marked on the track record, not quietly dropped.

6 leagues, priced properly

The long version, with the actual statistics, lives on the methodology page — and the guides walk through the ideas one at a time, in plain English. Who's behind this, and where to get help if the fun stops.