Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Primeira Liga 22/23
PE

Percy Liza

Forward MarítimoPrimeira Liga 22/23

Next match
Marítimo at Vitória SC›
Fri 23 Oct
Last games
max 11 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 Primeira Liga forward, 25/26, 2,890 appearances

Bet line
MarketHit rateModel
Shots on target0.21 per 90
10%
1 of 100.3×
Total shots0.86 per 90
30%
3 of 100.5×
Fouls won2.35 per 90
70%
7 of 101.2×
Fouls committed1.92 per 90
40%
4 of 100.8×
Tackles1.07 per 90
30%
3 of 100.7×
0%
0 of 0
Cards0.21 per 90
10%
1 of 100.8×
Goals0.21 per 90
10%
1 of 100.7×
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.

Five selections from the player report, free in your inbox

Picked from 304 selections across 78 matches on this week’s slate, each with its record and the market price.

Confirmed by a link. Unsubscribe in one click. Or open the player report.

Over the last 10 Primeira Liga games, Percy Liza 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 70%, 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 Percy Liza featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Casa Pia19 Mar 45 0 0 2 2 0 0
Benfica12 Mar 29 0 0 0 1 0 0
@ Gil Vicente5 Mar 19 0 0 0 0 1 0
Santa Clara25 Feb 28 1 1 0 0 0 0
FC Porto1 Feb 45 0 0 0 2 0 0
Estoril Praia22 Jan 75 0 0 4 1 2 1
@ Vizela14 Jan 24 0 1 1 2 0 0
Sporting CP8 Jan 69 0 0 2 2 0 0
@ Rio Ave23 Dec 76 0 2 0 1 2 0
Famalicão6 Nov 11 0 0 0 0 0 0
Officials on record
Fabio Jose Costa Verissimo 3 games Percy Liza never booked 5.60cards/game 1.08×vs league

Raw counts from every match on record, across 1 current Primeira Liga official — the model applies each official's overall card tendency, not this split. All Primeira Liga referees

Frequently asked

How often does Percy Liza have a shot on target?

Over the last 10 Primeira Liga games, Percy Liza 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 Percy Liza average?

Across the last 10 Primeira Liga games, Percy Liza is averaging 0.21 shots on target and 0.86 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 Percy Liza get booked?

Percy Liza is averaging 0.21 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 Percy Liza commit or win more fouls?

Over the last 10 games Percy Liza commits 1.92 fouls per 90 and wins 2.35 — 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 Percy Liza?

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. Percy Liza 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.