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Ligue 1 26/27
OT

Otávio

Centre-back 83% of 23 recent starts Paris FCLigue 1 26/27

Also in: Bundesliga

Next match
Paris FC at Lorient›
Sat 10 OctReferee Jérôme Brisard

Shot map Foul map

Last games
max 25 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 centre-back, 25/26, 1,295 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.34 per 90
30%
3 of 102.7×
9.00bet365Edge
Total shots0.68 per 90
50%
5 of 101.7×
3.50bet365Edge
Fouls won1.25 per 90
50%
5 of 101.2×
Fouls committed1.14 per 90
80%Hot
8 of 101.4×
Tackles2.84 per 90
80%Hot
8 of 101.2×
10%
1 of 10
Cards0.23 per 90
20%
2 of 101.2×
3.25bet365Edge
Goals0.11 per 90
10%
1 of 103.7×
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, Otávio has hit 1+ shot on target in 30% (3 of 10), 1+ total shot in 50%, 1+ foul committed in 80%, 1+ foul won in 50%, and been booked in 20% (2 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable centre-backs

The closest 5 profiles to Otávio in Ligue 1, 25/26 — drawn from 57 centre-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
OtávioParis FC 230.57 1.13
Leonardo BalerdiAS Roma 260.90 1.04
Arouna SanganteSevilla 280.35 1.62
Sadibou SanéAS Monaco 230.28 1.02
Kojo Peprah OppongFenerbahçe 310.41 1.07
Sinaly DiomandéAuxerre 240.38 1.31
These 5, combined 0.46 1.22

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Nice30 Aug 83 0 1 0 1 0 0
@ Troyes22 Aug 90 0 0 2 0 4 1
Paris Saint-Germain17 May 84 0 0 1 2 8 0
@ Metz19 Apr 90 1 1 1 3 3 0
Le Havre22 Mar 10 0 0 1 0 0 0
@ Toulouse21 Feb 90 0 0 1 4 2 1
RC Lens14 Feb 74 1 2 2 0 3 0
@ Auxerre8 Feb 90 0 0 1 0 1 0
Olympique de Marseille31 Jan 90 1 1 1 0 1 0
Angers25 Jan 90 0 1 0 1 3 0
Officials on record
Bastien Dechepy 3 games Otávio booked in 2 4.09cards/game 1.06×vs league
Jeremy Stinat 3 games Otávio never booked 3.89cards/game 1.01×vs league

Raw counts from every match on record, across 2 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 Otávio have a shot on target?

Over the last 10 Ligue 1 games, Otávio has hit 1+ shot on target in 30% (3 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 Otávio average?

Across the last 10 Ligue 1 games, Otávio is averaging 0.34 shots on target and 0.68 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 Otávio get booked?

Otávio is averaging 0.23 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 Otávio commit or win more fouls?

Over the last 10 games Otávio commits 1.14 fouls per 90 and wins 1.25 — 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 Otávio?

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. Otávio plays as a defender.

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.