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Ligue 1 25/26
MO

Morgan Sanson

Central midfielder 90% of 30 recent starts NiceLigue 1 25/26

Also in: Premier League

Next match
Nice vs RC Strasbourg›
Sun 11 OctReferee Jeremie Pignard

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 central midfielder, 25/26, 2,122 appearances

Bet line
Odds
MarketHit rateModel
Shots on target0.11 per 90
10%
1 of 100.5×
2.50bet365Edge
Total shots0.92 per 90
70%
7 of 101.5×
1.33bet365Edge
Fouls won1.84 per 90
70%
7 of 101.4×
Fouls committed1.72 per 90
80%Hot
8 of 101.4×
Tackles1.61 per 90
60%
6 of 100.9×
0%
0 of 10
Cards0.11 per 90
10%
1 of 100.6×
4.00bet365Edge
Goals0.00 per 90
0%
0 of 10
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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Over the last 10 Ligue 1 games, Morgan Sanson has hit 1+ shot on target in 10% (1 of 10), 1+ total shot in 70%, 1+ foul committed in 80%, 1+ foul won in 70%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable central midfielders

The closest 5 profiles to Morgan Sanson in Ligue 1, 25/26 — drawn from 82 central midfielders with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Morgan SansonNice 330.92 1.80
Oussama El AzzouziBologna 110.55 1.99
Rudy MatondoParis FC 270.86 1.79
Alpha TouréMetz 300.95 1.51
Jessy DeminguetMetz 310.76 1.25
Francis CoquelinNantes 160.82 2.06
These 5, combined 0.81 1.60

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Saint-Étienne29 May 86 0 0 2 0 3 0
@ Saint-Étienne26 May 90 0 1 2 3 2 0
Metz17 May 87 0 2 1 1 5 0
@ Auxerre10 May 76 0 1 2 3 1 0
RC Lens2 May 71 0 0 0 0 0 0
@ Olympique de Marseille26 Apr 45 0 1 1 0 0 0
Le Havre12 Apr 90 0 1 3 3 2 0
@ RC Strasbourg4 Apr 64 0 0 0 4 1 1
Paris Saint-Germain21 Mar 90 0 1 3 1 0 0
@ Angers14 Mar 85 1 1 1 1 0 0
Officials on record
Hakim Ben el Salem Hadj 10 games Morgan Sanson booked in 2 4.08cards/game 1.05×vs league
Willy Delajod 8 games Morgan Sanson booked in 1 3.71cards/game 0.96×vs league
Jeremie Pignard 7 games Morgan Sanson booked in 2 4.43cards/game 1.14×vs league
Clement Turpin 6 games Morgan Sanson never booked 3.32cards/game 0.86×vs league

Raw counts from every match on record, across 10 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 Morgan Sanson have a shot on target?

Over the last 10 Ligue 1 games, Morgan Sanson 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 Morgan Sanson average?

Across the last 10 Ligue 1 games, Morgan Sanson is averaging 0.11 shots on target and 0.92 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 Morgan Sanson get booked?

Morgan Sanson is averaging 0.11 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 Morgan Sanson commit or win more fouls?

Over the last 10 games Morgan Sanson commits 1.72 fouls per 90 and wins 1.84 — 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 Morgan Sanson?

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. Morgan Sanson plays as a midfielder.

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.