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SharpXI©
Ligue 1 22/23
AK

Akim Zedadka

Wing-back 61% of 23 recent starts Sabah FKLigue 1 22/23

Next match
Sabah FK at Stade Rennais›
Sun 11 OctReferee Willy Delajod

Shot map Foul map

Last games
max 28 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
MarketHit rateModel
Shots on target0.00 per 90
0%
0 of 10
Total shots0.36 per 90
30%
3 of 100.8×
Fouls won1.20 per 90
60%
6 of 101.2×
Fouls committed1.32 per 90
70%
7 of 101.4×
Tackles1.68 per 90
60%
6 of 100.9×
0%
0 of 10
Cards0.36 per 90
30%
3 of 102.3×
Goals0.00 per 90
0%
0 of 10
form only
Assists0.00 per 90
0%
0 of 10
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
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, Akim Zedadka has hit 1+ shot on target in 0% (0 of 10), 1+ total shot in 30%, 1+ foul committed in 70%, 1+ foul won in 60%, and been booked in 30% (3 of 10). These are raw hit rates from completed matches, not odds.

last 10

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
RC Lens3 Jun 45 0 0 1 2 0 0
@ Toulouse27 May 89 0 1 2 1 0 0
Paris Saint-Germain21 May 90 0 0 1 0 1 0
@ Stade Brestois14 May 9 0 0 0 0 0 0
Clermont Foot7 May 90 0 0 2 2 5 1
@ Olympique de Marseille30 Apr 90 0 0 1 0 1 0
Nantes16 Apr 90 0 0 1 0 1 1
@ Ajaccio9 Apr 90 0 0 3 3 2 1
Troyes1 Apr 90 0 1 0 1 4 0
@ RC Strasbourg19 Mar 65 0 1 0 1 0 0
Officials on record
Eric Wattellier 5 games Akim Zedadka booked in 1 3.40cards/game 0.88×vs league
Bastien Dechepy 3 games Akim Zedadka booked in 3 4.09cards/game 1.06×vs league
Jérôme Brisard 3 games Akim Zedadka never booked 4.06cards/game 1.05×vs league

Raw counts from every match on record, across 3 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 Akim Zedadka have a shot on target?

Over the last 10 Ligue 1 games, Akim Zedadka has hit 1+ shot on target in 0% (0 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 Akim Zedadka average?

Across the last 10 Ligue 1 games, Akim Zedadka is averaging 0.00 shots on target and 0.36 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 Akim Zedadka get booked?

Akim Zedadka is averaging 0.36 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 Akim Zedadka commit or win more fouls?

Over the last 10 games Akim Zedadka commits 1.32 fouls per 90 and wins 1.20 — 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 Akim Zedadka?

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. Akim Zedadka 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.