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Premier League 24/25
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Nathan Wood

Wide centre-back 56% of 9 recent starts SouthamptonPremier League 24/25

Also in: Championship

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 Premier League wide centre-back, 25/26, 214 appearances

Bet line
MarketHit rateModel
Shots on target0.00 per 90
0%
0 of 10
Total shots0.26 per 90
20%
2 of 100.5×
Fouls won0.52 per 90
40%
4 of 101.2×
Fouls committed1.05 per 90
60%
6 of 101.2×
Tackles1.44 per 90
70%
7 of 101.0×
0%
0 of 10
Cards0.26 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, Nathan Wood has hit 1+ shot on target in 0% (0 of 10), 1+ total shot in 20%, 1+ foul committed in 60%, 1+ foul won in 40%, and been booked in 20% (2 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable centre-backs

Nathan Wood has no Premier League record yet, so this profile is drawn from the Championship 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
Nathan WoodSouthamptonChampionship 70.33 0.49
Ayden HeavenManchester United 170.29 0.67
MoratoWest Ham United 210.33 1.05
Tosin AdarabioyoTottenham Hotspur 160.23 0.68
Bafodé DiakitéBournemouth 180.07 0.56
Abdukodir KhusanovManchester City 210.44 0.88
These 5, combined 0.28 0.79

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Arsenal25 May 90 0 0 1 0 3 0
@ Everton18 May 60 0 0 0 0 1 0
Bournemouth15 Feb 45 0 0 1 0 1 0
@ Man Utd16 Jan 13 0 0 0 0 0 0
Brentford4 Jan 45 0 0 0 0 0 0
@ Crystal Palace29 Dec 90 0 0 1 0 2 0
West Ham26 Dec 90 0 1 3 1 1 1
@ Fulham22 Dec 90 0 0 1 1 2 0
Tottenham15 Dec 75 0 1 0 1 0 0
@ Aston Villa7 Dec 90 0 0 1 1 1 1

Frequently asked

How often does Nathan Wood have a shot on target?

Over the last 10 Premier League games, Nathan Wood has hit 1+ shot on target in 0% (0 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 Nathan Wood average?

Across the last 10 Premier League games, Nathan Wood is averaging 0.00 shots on target and 0.26 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 Nathan Wood get booked?

Nathan Wood is averaging 0.26 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 Nathan Wood commit or win more fouls?

Over the last 10 games Nathan Wood commits 1.05 fouls per 90 and wins 0.52 — 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 Nathan Wood?

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. Nathan Wood 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.