Odense Boldklub 1:0 Sønderjyske Fodbold: xG & match report · Superliga (Denmark)

Monday, 03/08/2026 at 19:00

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Match report · Superliga (Denmark)

Odense Boldklub Home 2.11 xG · 17 shots

Sønderjyske Fodbold Away 0.59 xG · 8 shots

10 The scoreline reflected the chances

Goals

81' Noah Ganaus Odense Boldklub · 0.65 xG chance 1–0

The shots behind it

Odense Boldklub Sønderjyske Fodbold

Shots: 17; 8
On target: 4; 3
Inside the box: 12; 6
xG per shot: 0.13; 0.07
Open play xG: 1.89; 0.56
Set-piece xG: 0.25; 0.02
Penalties: —; —

Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 2.12 for Odense Boldklub and 0.59 for Sønderjyske Fodbold.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 2.72 xG

Hover, focus or tap a shot to read it.

Odense Boldklub
Sønderjyske Fodbold
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Odense Boldklub

1.74 xG created 1.83 xGA

L 1.46 created, 2.43 conceded against FC København
W 1.31 created, 1.81 conceded against FC Fredericia
L 3.79 created, 1.70 conceded against Silkeborg IF
D 0.94 created, 1.99 conceded against Randers FC
L 1.23 created, 1.03 conceded against Vejle
L 1.72 created, 2.04 conceded against Viborg FF

Sønderjyske Fodbold

1.29 xG created 1.71 xGA

L 1.02 created, 1.68 conceded against FC Midtjylland
W 1.34 created, 1.84 conceded against Brøndby IF
L 0.87 created, 1.64 conceded against AGF
W 1.40 created, 1.35 conceded against Viborg FF
L 1.99 created, 2.90 conceded against FC Nordsjælland
L 1.09 created, 0.82 conceded against FC Midtjylland

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Odense Boldklub: 0 won · 1 drawn · 1 lost

Model details

Show

The model never priced this match before kick-off, so there is no projection to read the result against.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.