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Ligue 1 26/27
PA

Paris Brunner

Striker 100% of 6 recent starts AS MonacoLigue 1 26/27

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 striker, 25/26, 1,182 appearances

Bet line
Odds
MarketHit rateModel
Shots on target1.88 per 90
50%
5 of 101.2×
1.67bet365Edge
Total shots3.56 per 90
70%
7 of 101.0×
1.04bet365Edge
Fouls won0.94 per 90
30%
3 of 100.6×
Fouls committed1.69 per 90
60%
6 of 101.1×
Tackles1.31 per 90
40%
4 of 101.3×
20%
2 of 102.0×
Cards0.00 per 90
0%
0 of 10
10.00bet365Edge
Goals0.75 per 90
30%
3 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, Paris Brunner has hit 1+ shot on target in 50% (5 of 10), 1+ total shot in 70%, 1+ foul committed in 60%, 1+ foul won in 30%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable strikers

The closest 5 profiles to Paris Brunner in Ligue 1, 25/26 — drawn from 47 strikers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Paris BrunnerAS Monaco 72.83 5.67
EmersonnIpswich Town 273.11 2.39
Kevin Carlos OmoruyiCagliari 242.20 2.90
Mohamed BambaLorient 181.71 2.23
Ally SamattaLe Havre 272.44 2.03
Lanroy MachineAngers 222.62 1.57
These 5, combined 2.51 2.27

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 Paris Brunner featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
RC Lens18 Sep 89 3 3 3 2 0 0
@ RC Strasbourg12 Sep 90 2 3 1 2 0 0
@ Paris Saint-Germain4 Sep 73 0 1 1 0 2 0
Olympique de Marseille30 Aug 81 3 5 0 1 3 0
@ Le Havre23 Aug 57 1 4 0 0 0 0
@ RC Strasbourg17 May 14 1 2 0 0 0 0
Angers28 Feb 17 0 0 1 0 1 0
Lorient16 Jan 1 0 0 0 0 0 0
@ Stade Brestois5 Dec 13 0 1 1 0 0 0
Metz21 Sep 45 0 0 2 0 1 0

Frequently asked

How often does Paris Brunner have a shot on target?

Over the last 10 Ligue 1 games, Paris Brunner 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 Paris Brunner average?

Across the last 10 Ligue 1 games, Paris Brunner is averaging 1.88 shots on target and 3.56 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 Paris Brunner get booked?

Paris Brunner 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 Paris Brunner commit or win more fouls?

Over the last 10 games Paris Brunner commits 1.69 fouls per 90 and wins 0.94 — 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 Paris Brunner?

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. Paris Brunner 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.