Ronan Kpakio
Over the last 3 Championship games, Ronan Kpakio has hit 1+ shot on target in 0% (0 of 3), 1+ total shot in 33%, 1+ foul committed in 33%, 1+ foul won in 33%, and been booked in 0% (0 of 3). These are raw hit rates from completed matches, not odds.
All markets last 3 games
Recent matches
The last 3 games Ronan Kpakio featured in — minutes and the counts that settle these markets.
| Match | Min | SoT | Shots | Fouls | Won | Cards |
|---|---|---|---|---|---|---|
| @ Norwich3 May | 69 | 0 | 1 | 3 | 1 | 0 |
| @ Oxford United26 Dec | 31 | 0 | 0 | 0 | 0 | 0 |
| Sheffield United21 Dec | 13 | 0 | 0 | 0 | 0 | 0 |
Frequently asked
How often does Ronan Kpakio have a shot on target?
Over the last 3 Championship games, Ronan Kpakio has hit 1+ shot on target in 0% (0 of 3). 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 Ronan Kpakio average?
Across the last 3 Championship games, Ronan Kpakio is averaging 0.00 shots on target and 0.80 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 Ronan Kpakio get booked?
Ronan Kpakio is averaging 0.00 cards per 90 over the last 3 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 Ronan Kpakio commit or win more fouls?
Over the last 3 games Ronan Kpakio commits 2.39 fouls per 90 and wins 0.80 — committing more than winning. 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 Ronan Kpakio?
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. Ronan Kpakio 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.