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Ligue 1 25/26
IB

Ibou Sane

Striker 60% of 5 recent starts MetzLigue 1 25/26

Last games
max 26 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 striker, 25/26, 1,182 appearances

Bet line
MarketHit rateModel
Shots on target0.46 per 90
20%
2 of 100.5×
Total shots1.16 per 90
40%
4 of 100.6×
Fouls won1.62 per 90
40%
4 of 100.8×
Fouls committed1.16 per 90
40%
4 of 100.8×
Tackles0.93 per 90
20%
2 of 100.6×
0%
0 of 10
Cards0.46 per 90
20%
2 of 102.2×
Goals0.23 per 90
10%
1 of 100.5×
form only
Assists0.23 per 90
10%
1 of 101.3×
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.

Five selections from the player report, free in your inbox

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, Ibou Sane has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 40%, 1+ foul committed in 40%, 1+ foul won in 40%, and been booked in 20% (2 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable strikers

The closest 5 profiles to Ibou Sane in Ligue 1, 25/26 — drawn from 46 strikers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Ibou SaneMetz 160.97 1.30
Olivier GiroudLille 302.27 1.50
Mohamed BambaLorient 181.71 2.23
Youssef El ArabiNantes 251.38 2.02
Breel EmboloStade Rennais 311.97 2.31
Mika BierethAS Monaco 321.54 1.30
These 5, combined 1.85 1.87

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Olympique Lyonnais25 Jan 8 0 0 0 0 0 0
@ RC Strasbourg18 Jan 81 0 1 1 3 0 0
@ Lorient4 Jan 79 0 0 0 1 3 1
@ Auxerre7 Dec 22 0 0 0 0 0 0
Stade Rennais28 Nov 76 0 2 1 0 0 0
@ Stade Brestois23 Nov 12 0 0 0 0 0 0
Nice9 Nov 13 0 0 0 0 0 0
@ Nantes2 Nov 78 1 1 2 0 1 1
RC Lens29 Oct 9 0 0 0 1 0 0
@ Lille26 Oct 11 1 1 1 2 0 0
Officials on record
Eric Wattellier 4 games Ibou Sane never booked 3.40cards/game 0.88×vs league

Raw counts from every match on record, across 1 current Ligue 1 official — the model applies each official's overall card tendency, not this split. All Ligue 1 referees

Frequently asked

How often does Ibou Sane have a shot on target?

Over the last 10 Ligue 1 games, Ibou Sane has hit 1+ shot on target in 20% (2 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 Ibou Sane average?

Across the last 10 Ligue 1 games, Ibou Sane is averaging 0.46 shots on target and 1.16 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 Ibou Sane get booked?

Ibou Sane is averaging 0.46 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 Ibou Sane commit or win more fouls?

Over the last 10 games Ibou Sane commits 1.16 fouls per 90 and wins 1.62 — winning more than committing. 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 Ibou Sane?

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. Ibou Sane plays as a forward.

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.