Telli Siwe
Over the last 4 Ligue 1 games, Telli Siwe has hit 1+ shot on target in 25% (1 of 4), 1+ total shot in 50%, 1+ foul committed in 75%, 1+ foul won in 0%, 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 Telli Siwe featured in — minutes and the counts that settle these markets.
| Match | Min | SoT | Shots | Fouls | Won | Cards |
|---|---|---|---|---|---|---|
| @ Lille17 May | 90 | 1 | 1 | 1 | 0 | 0 |
| @ Paris Saint-Germain27 Sep | 45 | 0 | 0 | 1 | 0 | 0 |
| Toulouse21 Sep | 90 | 0 | 1 | 1 | 0 | 0 |
| AS Monaco13 Sep | 90 | 0 | 0 | 0 | 0 | 0 |
Frequently asked
How often does Telli Siwe have a shot on target?
Over the last 4 Ligue 1 games, Telli Siwe has hit 1+ shot on target in 25% (1 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 Telli Siwe average?
Across the last 4 Ligue 1 games, Telli Siwe is averaging 0.29 shots on target and 0.57 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 Telli Siwe get booked?
Telli Siwe 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 Telli Siwe commit or win more fouls?
Over the last 4 games Telli Siwe commits 0.86 fouls per 90 and wins 0.00 — 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 Telli Siwe?
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. Telli Siwe 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.