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SharpXI©
La Liga 26/27
PE

Pedro Bigas

Wide centre-back 53% of 30 recent starts ElcheLa Liga 26/27

Next match
Elche vs Celta Vigo›
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 wide centre-back, 25/26, 122 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.28 per 90
20%
2 of 102.7×
5.50bet365Edge
Total shots0.28 per 90
20%
2 of 100.5×
2.38bet365Edge
Fouls won0.42 per 90
30%
3 of 100.6×
1.67bet365Edge
Fouls committed0.83 per 90
50%
5 of 100.9×
1.44PPEdge
Tackles0.83 per 90
40%
4 of 100.6×
22%
2 of 98.8×
Cards0.00 per 90
0%
0 of 10
3.25bet365Edge
Goals0.14 per 90
10%
1 of 10
form only
Assists0.14 per 90
10%
1 of 103.0×
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, Pedro Bigas has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 20%, 1+ foul committed in 50%, 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

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Espanyol18 Sep 30 0 0 0 0 0 0
Real Sociedad7 Sep 90 1 1 1 1 0 0
@ Real Racing Club30 Aug 62 0 0 1 0 0 0
FC Barcelona23 Aug 9 0 0 0 0 0 0
@ Girona FC23 May 90 0 0 0 0 2 0
Getafe17 May 90 0 0 1 0 0 0
Deportivo Alavés9 May 90 0 0 2 1 1 0
@ Celta Vigo3 May 90 0 0 0 0 1 0
@ Real Oviedo26 Apr 90 1 1 0 1 2 0
Atlético Madrid22 Apr 8 0 0 1 0 0 0
Officials on record
Miguel Angel Ortiz Arias 5 games Pedro Bigas booked in 1 4.35cards/game 0.90×vs league
José Luis Munuera Montero 4 games Pedro Bigas booked in 1 4.96cards/game 1.02×vs league
César Soto Grado 3 games Pedro Bigas booked in 1 5.30cards/game 1.09×vs league
Isidro Diaz de Mera Escuderos 3 games Pedro Bigas booked in 1 5.31cards/game 1.09×vs league

Raw counts from every match on record, across 7 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 Pedro Bigas have a shot on target?

Over the last 10 La Liga games, Pedro Bigas has hit 1+ shot on target in 20% (2 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 Pedro Bigas average?

Across the last 10 La Liga games, Pedro Bigas is averaging 0.28 shots on target and 0.28 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 Pedro Bigas get booked?

Pedro Bigas 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 Pedro Bigas commit or win more fouls?

Over the last 10 games Pedro Bigas commits 0.83 fouls per 90 and wins 0.42 — 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 Pedro Bigas?

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. Pedro Bigas 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.