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Premier League 24/25
TA

Taylor Harwood-Bellis

Wide centre-back 57% of 30 recent starts Aston VillaPremier League 24/25

Also in: Championship

Last games
max 34 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 Premier League wide centre-back, 25/26, 214 appearances

Bet line
MarketHit rateModel
Shots on target0.20 per 90
20%
2 of 101.6×
Total shots0.41 per 90
40%
4 of 101.0×
Fouls won0.30 per 90
30%
3 of 100.9×
Fouls committed1.01 per 90
70%
7 of 101.4×
Tackles0.61 per 90
40%
4 of 100.5×
0%
0 of 10
Cards0.20 per 90
20%
2 of 101.2×
Goals0.00 per 90
0%
0 of 10
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.

Five selections from the player report, free in your inbox

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 Premier League games, Taylor Harwood-Bellis has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 40%, 1+ foul committed in 70%, 1+ foul won in 30%, and been booked in 20% (2 of 10). These are raw hit rates from completed matches, not odds.

last 10

Recent matches

The last 10 games Taylor Harwood-Bellis featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Everton18 May 82 0 0 0 0 1 0
Man City10 May 90 0 0 1 0 0 0
@ Leicester3 May 90 1 1 2 1 0 1
Fulham26 Apr 90 0 0 1 1 0 0
@ West Ham19 Apr 85 0 0 1 0 0 0
Aston Villa12 Apr 90 0 1 1 0 0 1
@ Tottenham6 Apr 90 0 0 3 0 1 0
Crystal Palace2 Apr 90 0 0 1 0 1 0
Wolves15 Mar 90 0 1 0 0 0 0
@ Liverpool8 Mar 90 1 1 0 1 3 0
Officials on record
Thomas Bramall 3 games Taylor Harwood-Bellis booked in 2 4.07cards/game 1.00×vs league
Michael Oliver 3 games Taylor Harwood-Bellis never booked 3.67cards/game 0.90×vs league
Samuel Barrott 3 games Taylor Harwood-Bellis never booked 3.92cards/game 0.96×vs league
Tony Harrington 3 games Taylor Harwood-Bellis never booked 3.83cards/game 0.94×vs league

Raw counts from every match on record, across 4 current Premier League officials — the model applies each official's overall card tendency, not this split. All Premier League referees

Frequently asked

How often does Taylor Harwood-Bellis have a shot on target?

Over the last 10 Premier League games, Taylor Harwood-Bellis 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 Taylor Harwood-Bellis average?

Across the last 10 Premier League games, Taylor Harwood-Bellis is averaging 0.20 shots on target and 0.41 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 Taylor Harwood-Bellis get booked?

Taylor Harwood-Bellis is averaging 0.20 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 Taylor Harwood-Bellis commit or win more fouls?

Over the last 10 games Taylor Harwood-Bellis commits 1.01 fouls per 90 and wins 0.30 — 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 Taylor Harwood-Bellis?

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. Taylor Harwood-Bellis 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.