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La Liga 26/27
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Natan

Centre-back 100% of 30 recent starts Real BetisLa Liga 26/27

Also in: Serie A

Next match
Real Betis vs Osasuna›
Sun 11 Oct

Shot map Foul map

Last games
max 50 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 centre-back, 25/26, 1,827 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.11 per 90
10%
1 of 100.9×
5.00PPEdge
Total shots0.33 per 90
30%
3 of 100.9×
2.38bet365Edge
Fouls won0.22 per 90
10%
1 of 100.3×
2.20bet365Edge
Fouls committed0.65 per 90
40%
4 of 100.7×
1.67bet365Edge
Tackles1.52 per 90
70%
7 of 101.1×
0%
0 of 8
Cards0.33 per 90
30%
3 of 101.6×
5.00bet365Edge
Goals0.11 per 90
10%
1 of 103.1×
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 La Liga games, Natan has hit 1+ shot on target in 10% (1 of 10), 1+ total shot in 30%, 1+ foul committed in 40%, 1+ foul won in 10%, and been booked in 30% (3 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable centre-backs

The closest 5 profiles to Natan in La Liga, 26/27 — drawn from 22 centre-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
NatanReal Betis 60.50 0.33
Aïssa MandiLevante UD 60.18 0.35
Víctor ChustElche 70.57 0.57
Dean HuijsenReal Madrid 61.08 1.08
Dávid HanckoAtlético Madrid 71.31 0.33
Zaid RomeroGetafe 60.17 0.69
These 5, combined 0.66 0.60

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Deportivo de A Coruña20 Sep 90 0 1 0 0 1 0
Getafe17 Sep 95 0 0 0 2 2 0
@ Villarreal14 Sep 90 1 1 0 0 5 0
Real Madrid4 Sep 90 0 0 1 0 1 1
@ Levante UD30 Aug 90 0 1 0 0 2 0
Real Sociedad23 Aug 90 0 0 1 0 2 1
Levante UD23 May 79 0 0 0 0 0 0
@ FC Barcelona17 May 90 0 0 2 0 0 0
Elche12 May 24 0 0 2 0 0 1
Real Oviedo3 May 90 0 0 0 0 1 0
Officials on record
Alejandro Hernandez 7 games Natan booked in 1 5.91cards/game 1.22×vs league
Victor Garcia Verdura 6 games Natan booked in 3 4.13cards/game 0.85×vs league
Mateo Busquets Ferrer 5 games Natan booked in 1 5.69cards/game 1.17×vs league
Isidro Diaz de Mera Escuderos 4 games Natan booked in 2 5.31cards/game 1.09×vs league

Raw counts from every match on record, across 13 current La Liga officials — the model applies each official's overall card tendency, not this split. All La Liga referees

Frequently asked

How often does Natan have a shot on target?

Over the last 10 La Liga games, Natan has hit 1+ shot on target in 10% (1 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 Natan average?

Across the last 10 La Liga games, Natan is averaging 0.11 shots on target and 0.33 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 Natan get booked?

Natan is averaging 0.33 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 Natan commit or win more fouls?

Over the last 10 games Natan commits 0.65 fouls per 90 and wins 0.22 — 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 Natan?

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. Natan 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.