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SharpXI©
La Liga 25/26
PA

Pacha

Full-back 83% of 30 recent starts Rayo VallecanoLa Liga 25/26

Next match
Rayo Vallecano vs Athletic Club›
Sat 10 OctReferee José María Sánchez Martínez

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 full-back, 25/26, 1,766 appearances

Bet line
MarketHit rateModel
Shots on target0.31 per 90
20%
2 of 102.1×
Total shots1.26 per 90
50%
5 of 101.6×
Fouls won1.73 per 90
50%
5 of 101.1×
Fouls committed1.73 per 90
70%
7 of 101.3×
Tackles3.61 per 90
90%Hot
9 of 101.3×
10%
1 of 103.2×
Cards0.16 per 90
10%
1 of 100.6×
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 41 selections across 14 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, Pacha has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 50%, 1+ foul committed in 70%, 1+ foul won in 50%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Deportivo Alavés23 May 90 1 1 1 1 3 1
Villarreal17 May 9 0 0 0 2 2 0
@ Valencia14 May 90 0 1 2 3 2 0
Girona FC11 May 22 0 0 2 0 2 0
@ Getafe3 May 68 0 0 1 0 4 0
Espanyol23 Apr 58 0 0 1 0 2 0
@ Mallorca12 Apr 90 1 3 0 3 3 0
Elche3 Apr 11 0 0 1 0 0 0
@ FC Barcelona22 Mar 45 0 2 0 0 2 0
Levante UD16 Mar 90 0 1 3 2 3 0
Officials on record
Alejandro Hernandez 12 games Pacha booked in 2 5.91cards/game 1.22×vs league
Ricardo De Burgos Bengoetxea 7 games Pacha booked in 2 4.32cards/game 0.89×vs league
Juan Martinez Munuera 7 games Pacha booked in 1 4.85cards/game 1.00×vs league
José Luis Munuera Montero 6 games Pacha booked in 3 4.96cards/game 1.02×vs league

Raw counts from every match on record, across 14 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 Pacha have a shot on target?

Over the last 10 La Liga games, Pacha 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 Pacha average?

Across the last 10 La Liga games, Pacha is averaging 0.31 shots on target and 1.26 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 Pacha get booked?

Pacha is averaging 0.16 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 Pacha commit or win more fouls?

Over the last 10 games Pacha commits 1.73 fouls per 90 and wins 1.73 — an even split. 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 Pacha?

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. Pacha 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.