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La Liga 26/27
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Ademola Lookman

Striker 53% of 15 recent starts Atlético MadridLa Liga 26/27

Also in: Serie A

Next match
Atlético Madrid at Deportivo Alavés›
Sat 10 OctReferee Alejandro Quintero Gonzalez

Shot map Foul map

Last games
max 19 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 La Liga striker, 25/26, 1,664 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.68 per 90
40%
4 of 100.9×
1.57bet365Edge
Total shots1.89 per 90
70%
7 of 101.0×
1.06PPEdge
Fouls won1.62 per 90
70%
7 of 101.3×
1.14PPEdge
Fouls committed1.49 per 90
70%
7 of 101.4×
1.33PPEdge
Tackles1.08 per 90
70%
7 of 102.0×
12%
1 of 81.1×
Cards0.14 per 90
10%
1 of 101.0×
4.20PPEdge
Goals0.41 per 90
30%
3 of 101.3×
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 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 La Liga games, Ademola Lookman has hit 1+ shot on target in 40% (4 of 10), 1+ total shot in 70%, 1+ foul committed in 70%, 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 wide midfielders

The closest 5 profiles to Ademola Lookman in La Liga, 26/27 — drawn from 6 wide midfielders with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Ademola LookmanAtlético Madrid 71.96 1.37
Alex BaenaAtlético Madrid 72.97 1.98
Joaquín MuñozMálaga CF 81.00 1.00
Giuliano SimeoneAtlético Madrid 71.71 1.33
Federico ValverdeReal Madrid 70.96 0.48
Ramón TerratsGetafe 62.88 1.52
These 5, combined 1.89 1.24

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Real Madrid20 Sep 23 0 0 0 0 1 0
Osasuna16 Sep 68 0 3 1 1 1 1
@ Real Sociedad13 Sep 76 0 0 1 1 0 0
@ Athletic Club5 Sep 58 0 1 1 0 0 0
@ Sevilla30 Aug 66 1 3 2 1 1 0
Villarreal23 Aug 79 0 1 0 3 1 0
Málaga CF19 Aug 90 2 2 2 1 1 0
@ Villarreal24 May 61 0 0 2 1 2 0
Girona FC17 May 63 1 3 0 0 0 0
@ Osasuna12 May 82 1 1 2 4 1 0

Frequently asked

How often does Ademola Lookman have a shot on target?

Over the last 10 La Liga games, Ademola Lookman 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 Ademola Lookman average?

Across the last 10 La Liga games, Ademola Lookman is averaging 0.68 shots on target and 1.89 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 Ademola Lookman get booked?

Ademola Lookman is averaging 0.14 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 Ademola Lookman commit or win more fouls?

Over the last 10 games Ademola Lookman commits 1.49 fouls per 90 and wins 1.62 — 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 Ademola Lookman?

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. Ademola Lookman 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.