+0.40goals above what the league converts the same chances into
Build-up per 90
0.397% of Arsenal’s build-up value
league 0.30
Martin Odegaard ranks 8th of 138 qualified players for attacking involvement, shooting from 15.8m on average. They carry 17% of Arsenal’s attacking involvement, the 2nd largest share in the squad.
Against their position
87 midfielders
Average match rating7.5490th
Shooting
per 90
Goals
0.3786th
Non-penalty goals
0.3789th
xG
0.3393rd
Non-penalty xG
0.3394th
Shots
1.6856th
Shots on target
0.6773rd
Shot accuracy
–not ranked
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
+0.278th
Creating
per 90
Assists
0.0025th
Expected assists
0.3788th
Key passes
2.2583rd
npxG + xA
0.7096th
xG chain
0.9191st
xG build-up
0.3968th
Assists against xA
-2.02nd
On the ball
per 90
Touches
64.3381st
Passes
51.6781st
Pass completion
92%90th
Take-ons attempted
0.6729th
Take-on success
–not ranked
Dispossessed
0.3373rd
Defending
per 90
Tackles
2.0051st
Tackles won
–not ranked
Interceptions
0.0013th
Clearances
1.0064th
Aerials won
0.009th
Aerial success
–not ranked
Dribbled past
0.3377th
Discipline
per 90
Fouls committed
0.0096th
Caught offside
0.0063rd
Errors
0season count
Yellow cards
1season count
Red cards
0season count
Ranked against 87 midfielders 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 7
Next fixture
Gameweek 7
away toNottingham Forest
Sun 18 Oct, 15:30 UTC
Nottingham Forest concede 11.0 shots a match and are 0.86× the league norm against central attack (18 shots so far). A difficult one.
Projected shots
1.39
1.68 per 90 × 0.83
Projected on target
0.64
0.75 per 90 × 0.85
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
6 appearances
Over 0.55 of 683%± 15
Over 1.53 of 650%± 20
Over 2.51 of 617%± 15
Over 3.50 of 60%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 1 of 6.
GoalNo goalMark area is the chance’s expected goals
Martin Odegaard, 2026/27, 9 shots in the final 35m, 2 scored.
left
0%
Centre
75%
right
25%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.199
Shots per 90
1.68
Key passes per 90
2.25
Average shot distance
15.8m
From set pieces
6%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%
Club role
Arsenal
What they are for
Corners and set piecesSupplies 22% of Arsenal’s dead-ball danger, from 1 delivery that became shots.
On the pitch89% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Martin Odegaard’soutput.
Chances received
who supplies them
Christos Tzolis0.6 xG1 shot, 1g
Noni Madueke0.2 xG2 shots, 0g
Ben White0.1 xG1 shot, 1g
Kai Havertz0.1 xG1 shot, 0g
Riccardo Calafiori0.1 xG1 shot, 0g
Chances created
who they supply
Riccardo Calafiori0.6 xG2 shots, 0g
Kai Havertz0.5 xG3 shots, 0g
Bukayo Saka0.5 xG3 shots, 0g
Christos Tzolis0.2 xG2 shots, 0g
Ben White0.1 xG1 shot, 0g
Season record
2026/27
Involvement in build-up
excludes their own shots and final passes
Martin Odegaard carries 6.8%of Arsenal’s build-up value.
Build-up per 900.389
65% of midfielders
Possession value per 900.909
92% of midfielders
Ranked against 52 midfielders 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
6 appearances, oldest first
over 1.5
1g
v Coventry3 shots 1 on target
at Villa1 shot 0 on target
1g
v Chelsea2 shots 1 on target
at Brighton1 shot 0 on target
v Leeds2 shots 2 on target
1 blankno 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 one 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.