+0.52goals above what the league converts the same chances into
Build-up per 90
0.182% of Ipswich’s build-up value
league 0.27
George Hirst ranks 76th of 397 qualified players for attacking involvement, shooting from 11.1m on average. They carry 4% of Ipswich’s attacking involvement, the 10th largest share in the squad.
Unavailable. Has joined Stoke City permanently. The rates below describe what he did, not what he is about to do. Club status as of 18 Oct 2026.
Against their position
104 forwards
Shooting
per 90
Goals
0.4477th
Non-penalty goals
0.4480th
xG
0.4169th
Non-penalty xG
0.4172nd
Shots
2.0742nd
npxG per shot
0.2087th
Shot distance
11.1m97th
Set-piece share
2%7th
Goals against xG
+0.372nd
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.1551st
Expected assists
0.067th
Key passes
0.595th
npxG + xA
0.4741st
xG chain
0.6353rd
xG build-up
0.1839th
Assists against xA
+0.681st
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
3season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 104 forwards 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
vsNottingham Forest
Fri 23 Oct, 19:00 UTC
Nottingham Forest concede 14.0 shots a match and are 1.07× the league norm against forwards. Roughly an average matchup.
Projected shots
2.22
2.07 per 90 × 1.07
Projected on target
1.01
1.03 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
26 appearances
Over 0.510 of 2638%± 10
Over 1.54 of 2615%± 7
Over 2.50 of 260%± 0
Over 3.50 of 260%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 16 of 26.
GoalNo goalMark area is the chance’s expected goals
George Hirst, 2024/25, 14 shots in the final 35m, 3 scored.
left
5%
Centre
72%
right
22%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.196
Shots per 90
2.07
Key passes per 90
0.59
Average shot distance
11.1m
From set pieces
2%
How the chances arrive
Crosses
47%
Through balls
23%
Own dribble
0%
Headed
73%
Club role
Ipswich
What they are for
When it mattered2 of 3 goals came with the game level or Ipswich behind.
On the pitch18% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of George Hirst’soutput.
Chances received
who supplies them
Jack Clarke0.5 xG1 shot, 0g
Sam Morsy0.4 xG3 shots, 0g
Conor Chaplin0.3 xG1 shot, 1g
Ben Johnson0.3 xG1 shot, 0g
Conor Townsend0.3 xG1 shot, 0g
Chances created
who they supply
Sammie Szmodics0.3 xG2 shots, 1g
Julio Enciso0.1 xG1 shot, 0g
Jack Clarke0.0 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
George Hirst carries 1.8%of Ipswich’s build-up value.
Build-up per 900.184
38% of forwards
Possession value per 900.625
53% of forwards
Ranked against 104 forwards 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
26 appearances, oldest first
over 1.5
at Southampton2 shots 1 on target
1g
at Brentford1 shot 1 on target
at Liverpool1 shot 1 on target
at Man Utd1 shot 0 on target
1g
v Forest1 shot 1 on target
at Chelsea2 shots 0 on target
v Arsenal1 shot 0 on target
1g
at Everton1 shot 1 on target
v Brentford2 shots 1 on target
at Leicester2 shots 1 on target
16 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 16 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.