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Ligue 1 26/27
MO

Mousa Tamari

Wing-back 33% of 30 recent starts Stade RennaisLigue 1 26/27

Next match
Stade Rennais vs Auxerre›
Sun 11 OctReferee Willy Delajod

Shot map Foul map

Last games
max 50 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 wing-back, 25/26, 587 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target1.18 per 90
50%
5 of 102.7×
1.94MGMEdge
Total shots3.02 per 90
80%Hot
8 of 102.0×
1.10PPEdge
Fouls won0.66 per 90
40%
4 of 100.8×
Fouls committed0.53 per 90
40%
4 of 100.8×
Tackles1.31 per 90
70%
7 of 101.0×
10%
1 of 101.9×
Cards0.13 per 90
10%
1 of 100.8×
8.50bet365Edge
Goals0.26 per 90
20%
2 of 103.3×
form only
Assists0.13 per 90
10%
1 of 101.1×
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, Mousa Tamari has hit 1+ shot on target in 50% (5 of 10), 1+ total shot in 80%, 1+ foul committed in 40%, 1+ foul won in 40%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Olympique Lyonnais19 Sep 29 0 0 0 0 0 0
Olympique de Marseille11 Sep 41 1 3 1 0 0 0
@ Angers6 Sep 68 0 0 0 1 1 0
Le Mans30 Aug 74 2 3 1 1 1 0
Paris Saint-Germain23 Aug 72 0 2 1 0 2 1
@ Olympique de Marseille17 May 67 1 5 0 0 2 0
Paris FC10 May 90 0 2 0 0 0 0
@ Olympique Lyonnais3 May 87 1 1 0 2 1 0
Nantes26 Apr 89 0 2 1 1 1 0
@ RC Strasbourg19 Apr 68 4 5 0 0 2 0
Officials on record
Marc Bollengier 11 games Mousa Tamari never booked 3.74cards/game 0.97×vs league
Mathieu Vernice 9 games Mousa Tamari booked in 1 4.35cards/game 1.12×vs league
Jeremy Stinat 8 games Mousa Tamari never booked 3.89cards/game 1.01×vs league
Clement Turpin 6 games Mousa Tamari booked in 1 3.32cards/game 0.86×vs league

Raw counts from every match on record, across 8 current Ligue 1 officials — the model applies each official's overall card tendency, not this split. All Ligue 1 referees

Frequently asked

How often does Mousa Tamari have a shot on target?

Over the last 10 Ligue 1 games, Mousa Tamari has hit 1+ shot on target in 50% (5 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 Mousa Tamari average?

Across the last 10 Ligue 1 games, Mousa Tamari is averaging 1.18 shots on target and 3.02 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 Mousa Tamari get booked?

Mousa Tamari is averaging 0.13 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 Mousa Tamari commit or win more fouls?

Over the last 10 games Mousa Tamari commits 0.53 fouls per 90 and wins 0.66 — 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 Mousa Tamari?

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. Mousa Tamari 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.