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Ligue 1 26/27
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Stanis Idumbo Muzambo

Winger 100% of 4 recent starts AS MonacoLigue 1 26/27

Also in: La Liga

Next match
AS Monaco vs Toulouse›
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 winger, 25/26, 1,137 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.79 per 90
40%
4 of 101.1×
1.47MGMEdge
Total shots2.78 per 90
50%
5 of 100.8×
1.06PPEdge
Fouls won0.99 per 90
40%
4 of 100.8×
Fouls committed0.99 per 90
40%
4 of 100.9×
Tackles1.59 per 90
50%
5 of 101.0×
10%
1 of 100.8×
Cards0.00 per 90
0%
0 of 10
7.00bet365Edge
Goals0.40 per 90
20%
2 of 101.5×
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 41 selections across 14 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, Stanis Idumbo Muzambo has hit 1+ shot on target in 40% (4 of 10), 1+ total shot in 50%, 1+ foul committed in 40%, 1+ foul won in 40%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable wingers

The closest 5 profiles to Stanis Idumbo Muzambo in Ligue 1, 25/26 — drawn from 42 wingers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Stanis Idumbo MuzamboAS Monaco 83.29 1.65
Ethan MbappéLille 182.22 1.11
Giorgi AbuashviliMetz 232.96 1.03
Ibrahim MbayeAston Villa 242.17 0.90
Eric EbimbeFC Schalke 04 272.06 1.68
Ibrahim OsmanBrighton & Hove Albion 142.57 1.00
These 5, combined 2.34 1.19

Recent matches

The last 10 games Stanis Idumbo Muzambo featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ RC Strasbourg12 Sep 72 0 0 0 1 3 0
@ Paris Saint-Germain4 Sep 87 1 2 1 0 2 0
Olympique de Marseille30 Aug 85 1 4 0 1 1 0
@ Le Havre23 Aug 81 1 4 1 2 0 0
Stade Rennais31 Jan 9 1 1 0 0 0 0
Olympique Lyonnais3 Jan 13 0 0 0 0 1 0
@ Stade Brestois5 Dec 21 0 0 1 0 1 0
Paris FC1 Nov 45 0 0 0 0 0 0
@ Angers18 Oct 20 0 0 2 1 0 0
Nice5 Oct 20 0 3 0 0 0 0

Frequently asked

How often does Stanis Idumbo Muzambo have a shot on target?

Over the last 10 Ligue 1 games, Stanis Idumbo Muzambo has hit 1+ shot on target in 40% (4 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 Stanis Idumbo Muzambo average?

Across the last 10 Ligue 1 games, Stanis Idumbo Muzambo is averaging 0.79 shots on target and 2.78 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 Stanis Idumbo Muzambo get booked?

Stanis Idumbo Muzambo is averaging 0.00 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 Stanis Idumbo Muzambo commit or win more fouls?

Over the last 10 games Stanis Idumbo Muzambo commits 0.99 fouls per 90 and wins 0.99 — an even split. 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 Stanis Idumbo Muzambo?

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. Stanis Idumbo Muzambo 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.