-0.98goals above what the league converts the same chances into
Build-up per 90
0.198% of Southampton’s build-up value
league 0.27
Taylor Harwood-Bellis ranks 235th of 397 qualified players for attacking involvement, shooting from 10.6m on average, with 98% of their danger coming from set pieces. They carry 4% of Southampton’s attacking involvement, the 11th largest share in the squad.
Against their position
123 defenders
Shooting
per 90
Goals
0.0361st
Non-penalty goals
0.0361st
xG
0.0772nd
Non-penalty xG
0.0772nd
Shots
0.6468th
npxG per shot
0.1165th
Shot distance
10.6m80th
Set-piece share
98%91st
Goals against xG
-1.215th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0026th
Expected assists
0.0669th
Key passes
0.4457th
npxG + xA
0.1370th
xG chain
0.2321st
xG build-up
0.1917th
Assists against xA
-2.06th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2024/25.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2024/25.
Discipline
per 90
Yellow cards
9season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 123 defenders with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.
This week
Gameweek 8
Next fixture
Gameweek 8
vsManchester City
Sat 24 Oct, 11:30 UTC
Manchester City concede 9.3 shots a match and are 0.91× the league norm against defenders. A difficult one.
Projected shots
0.52
0.64 per 90 × 0.82
Projected on target
0.19
0.25 per 90 × 0.76
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
34 appearances
Over 0.516 of 3447%± 9
Over 1.54 of 3412%± 6
Over 2.50 of 340%± 0
Over 3.50 of 340%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 34.
GoalNo goalMark area is the chance’s expected goals
Taylor Harwood-Bellis, 2024/25, 20 shots in the final 35m, 1 scored.
left
7%
Centre
90%
right
3%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.110
Shots per 90
0.64
Key passes per 90
0.44
Average shot distance
10.6m
From set pieces
98%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
26%
Club role
Southampton
What they are for
On the pitch83% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Taylor Harwood-Bellis’output.
Chances received
who supplies them
Yukinari Sugawara0.6 xG3 shots, 0g
Mateus Fernandes0.5 xG3 shots, 0g
Ryan Manning0.2 xG5 shots, 0g
Cameron Archer0.1 xG1 shot, 0g
William Smallbone0.1 xG1 shot, 0g
Chances created
who they supply
Flynn Downes0.6 xG2 shots, 0g
Tyler Dibling0.5 xG3 shots, 0g
Paul Onuachu0.4 xG1 shot, 0g
Kamaldeen Sulemana0.2 xG2 shots, 0g
Kyle Walker-Peters0.1 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Taylor Harwood-Bellis carries 7.7%of Southampton’s build-up value.
Build-up per 900.195
17% of defenders
Possession value per 900.235
20% of defenders
Ranked against 123 defenders with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.
Match by match
Match log
34 appearances, oldest first
over 1.5
v Ipswich1 shot 1 on target
1g
at Bournemouth2 shots 2 on target
at Arsenal1 shot 0 on target
v Leicester2 shots 0 on target
v Everton2 shots 0 on target
at Wolves1 shot 0 on target
v Spurs1 shot 1 on target
at Palace1 shot 0 on target
v Brentford1 shot 0 on target
at Man Utd1 shot 0 on target
at Forest1 shot 0 on target
v Newcastle2 shots 2 on target
at Liverpool1 shot 1 on target
v Wolves1 shot 0 on target
v Villa1 shot 0 on target
at Leicester1 shot 1 on target
18 blanksno shot not placed
Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 18 sits at the end, counted but unplaced.
How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.
