Tolaji Bola
Over the last 4 Championship games, Tolaji Bola has hit 1+ shot on target in 0% (0 of 4), 1+ total shot in 0%, 1+ foul committed in 25%, 1+ foul won in 25%, and been booked in 0% (0 of 4). These are raw hit rates from completed matches, not odds.
All markets last 4 games
Recent matches
The last 4 games Tolaji Bola featured in — minutes and the counts that settle these markets.
| Match | Min | SoT | Shots | Fouls | Won | Cards |
|---|---|---|---|---|---|---|
| @ Sunderland19 Aug | 14 | 0 | 0 | 1 | 1 | 0 |
| Blackburn Rovers12 Aug | 9 | 0 | 0 | 0 | 0 | 0 |
| @ Middlesbrough17 Sep | 9 | 0 | 0 | 0 | 0 | 0 |
| Blackpool14 Sep | 27 | 0 | 0 | 0 | 0 | 0 |
Frequently asked
How often does Tolaji Bola have a shot on target?
Over the last 4 Championship games, Tolaji Bola has hit 1+ shot on target in 0% (0 of 4). That's the raw hit rate from completed matches; SharpXI's model turns it into a true probability by adjusting for the opponent and expected minutes, then de-vigs the bookmaker's price.
How many shots on target does Tolaji Bola average?
Across the last 4 Championship games, Tolaji Bola is averaging 0.00 shots on target and 0.00 total shots per 90 minutes. SharpXI treats that as a starting rate, then adjusts for the opponent and expected minutes before pricing a 1+ or 2+ line.
How often does Tolaji Bola get booked?
Tolaji Bola is averaging 0.00 cards per 90 over the last 4 games. Bookings swing heavily on the referee, so the model multiplies a player's base rate by each official's card tendency — the biggest single lever in the to-be-carded market.
Does Tolaji Bola commit or win more fouls?
Over the last 4 games Tolaji Bola commits 1.53 fouls per 90 and wins 1.53 — an even split. Fouls committed and fouls won are separate markets, each modelled from the player's rate and the opponent faced.
Which player markets does SharpXI model for Tolaji Bola?
Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, de-vigged against the bookmaker's price. Tolaji Bola plays as a defender.
Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors, and de-vigging before flagging value. 18+ — please gamble responsibly.