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Ligue 1 26/27
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Seny Koumbassa

Centre-back 83% of 6 recent starts ToulouseLigue 1 26/27

Next match
Toulouse at AS Monaco›
Sat 10 OctReferee Ruddy Buquet

Shot map Foul map

Last games
max 12 on record
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

All markets last 10 games

Compared with a Ligue 1 centre-back, 25/26, 1,295 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.16 per 90
10%
1 of 100.9×
6.00MGMEdge
Total shots0.47 per 90
30%
3 of 101.0×
2.62PPEdge
Fouls won0.16 per 90
10%
1 of 100.2×
Fouls committed0.94 per 90
40%
4 of 100.7×
Tackles1.72 per 90
60%
6 of 100.9×
0%
0 of 10
Cards0.16 per 90
10%
1 of 100.6×
5.00PPEdge
Goals0.16 per 90
10%
1 of 103.7×
form only
Assists0.00 per 90
0%
0 of 10
form only
Hit rate, per-90 and the market price are free. Switch the bet line above — each carries its own price where the bookmaker offers one. What’s paid is the model’s edge: whether that price is wrong. Rare tails the model can’t beat, like 3+ on target, stay hit-rate-only.

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Picked from 20 selections across 10 matches on this week’s slate, each with its record and the market price.

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Over the last 10 Ligue 1 games, Seny Koumbassa has hit 1+ shot on target in 10% (1 of 10), 1+ total shot in 30%, 1+ foul committed in 40%, 1+ foul won in 10%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable centre-backs

The closest 5 profiles to Seny Koumbassa in Ligue 1, 25/26 — drawn from 58 centre-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Seny KoumbassaToulouse 90.61 0.20
MarquinhosParis Saint-Germain 140.26 0.69
Willian PachoParis Saint-Germain 230.38 0.28
DanteNice 130.77 1.06
Andrew OmobamideleRC Strasbourg 250.26 0.85
Ousmane CamaraAngers 320.43 0.73
These 5, combined 0.41 0.68

No close match — the nearest profile sits well outside the usual range, so read these five as the closest available rather than as like-for-like.

Recent matches

The last 10 games Seny Koumbassa featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
Le Havre19 Sep 90 0 0 2 0 3 1
@ Lorient12 Sep 90 0 0 2 1 1 0
@ Stade Brestois29 Aug 12 0 0 1 0 0 0
Olympique Lyonnais10 May 1 0 0 0 0 0 0
@ RC Lens17 Apr 90 1 1 0 0 2 0
Lille12 Apr 90 0 1 0 0 3 0
@ Paris Saint-Germain3 Apr 90 0 0 0 0 1 0
Lorient21 Mar 90 0 0 0 0 1 0
@ Metz15 Mar 14 0 1 0 0 0 0
Nice17 Jan 8 0 0 1 0 0 0

Frequently asked

How often does Seny Koumbassa have a shot on target?

Over the last 10 Ligue 1 games, Seny Koumbassa has hit 1+ shot on target in 10% (1 of 10). 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 compares it with the bookmaker's price as offered.

How many shots on target does Seny Koumbassa average?

Across the last 10 Ligue 1 games, Seny Koumbassa is averaging 0.16 shots on target and 0.47 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 Seny Koumbassa get booked?

Seny Koumbassa is averaging 0.16 cards per 90 over the last 10 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 Seny Koumbassa commit or win more fouls?

Over the last 10 games Seny Koumbassa commits 0.94 fouls per 90 and wins 0.16 — 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 Seny Koumbassa?

Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, compared with the bookmaker's price as offered. Seny Koumbassa plays as a defender.

Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors before flagging value, and compares against the bookmaker's price as offered — player markets are priced one side only, so that price still carries the bookmaker's margin. 18+ — please gamble responsibly.