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Premier League 24/25
RE

Renato Veiga

Midfielder ChelseaPremier League 24/25

Also in: La LigaSerie ABundesliga

Next match
Chelsea vs Bournemouth›
Sat 10 OctReferee Samuel Barrott

Shot map Foul map

Last games
max 7 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 7 games

Compared with a Premier League midfielder, 25/26, 4,546 appearances

Bet line
MarketHit rateModel
Shots on target0.49 per 90
14%
1 of 70.5×
Total shots1.47 per 90
29%
2 of 70.5×
Fouls won0.49 per 90
14%
1 of 70.3×
Fouls committed2.93 per 90
71%
5 of 71.3×
Tackles4.40 per 90
43%
3 of 70.7×
14%
1 of 71.3×
Cards0.98 per 90
29%
2 of 72.0×
Goals0.00 per 90
0%
0 of 7
form only
Assists0.00 per 90
0%
0 of 7
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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Over the last 7 Premier League games, Renato Veiga has hit 1+ shot on target in 14% (1 of 7), 1+ total shot in 29%, 1+ foul committed in 71%, 1+ foul won in 14%, and been booked in 29% (2 of 7). These are raw hit rates from completed matches, not odds.

last 7

Comparable centre-backs

Renato Veiga has no Premier League record yet, so this profile is drawn from the La Liga 26/27 season. These are the closest 5 Premier League centre-backs by standing within their own league — not by matching output, which does not carry across leagues. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Renato VeigaVillarrealLa Liga 70.43 0.86
Tyrone MingsAston Villa 170.61 0.68
Rúben DiasManchester City 260.42 0.63
Nikola MilenkovićNottingham Forest 380.43 0.56
Max KilmanWest Ham United 210.40 0.92
Pau TorresAston Villa 210.48 0.38
These 5, combined 0.45 0.62

Recent matches

The last 7 games Renato Veiga featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Tottenham8 Dec 8 0 0 1 0 0 0
@ Southampton4 Dec 11 0 0 2 0 1 0
@ Liverpool20 Oct 37 0 1 1 1 0 1
Brighton28 Sep 20 0 0 0 0 5 0
@ Bournemouth14 Sep 90 1 2 1 0 3 1
@ Wolves25 Aug 8 0 0 0 0 0 0
Man City18 Aug 10 0 0 1 0 0 0

Frequently asked

How often does Renato Veiga have a shot on target?

Over the last 7 Premier League games, Renato Veiga has hit 1+ shot on target in 14% (1 of 7). 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 Renato Veiga average?

Across the last 7 Premier League games, Renato Veiga is averaging 0.49 shots on target and 1.47 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 Renato Veiga get booked?

Renato Veiga is averaging 0.98 cards per 90 over the last 7 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 Renato Veiga commit or win more fouls?

Over the last 7 games Renato Veiga commits 2.93 fouls per 90 and wins 0.49 — 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 Renato Veiga?

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. Renato Veiga plays as a midfielder.

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.