Viborg FF 2:1 AGF: xG & match report · Superliga (Denmark)

Friday, 14/08/2026 at 19:00

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Match report · Superliga (Denmark)

Viborg FF Home 1.03 xG · 12 shots

AGF Away 1.92 xG · 22 shots

21 The result went against the chances

Goals

11' Mads Søndergaard Viborg FF · 0.11 xG chance 1–0
31' Frederik Emmery AGF · 0.07 xG chance 1–1
60' Mads Søndergaard Viborg FF · 0.09 xG chance 2–1

The shots behind it

Viborg FF AGF

Shots: 12; 22
On target: 3; 7
Inside the box: 7; 14
xG per shot: 0.07; 0.09
Open play xG: 0.45; 1.52
Set-piece xG: 0.40; 0.42
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: 0.84 for Viborg FF and 1.90 for AGF.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

34 shots · 2.79 xG

Hover, focus or tap a shot to read it.

Viborg FF
AGF
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Viborg FF

1.74 xG created 1.53 xGA

D 1.53 created, 1.37 conceded against FC Midtjylland
L 1.35 created, 1.40 conceded against Sønderjyske Fodbold
L 2.09 created, 2.70 conceded against AGF
W 2.04 created, 1.72 conceded against Odense Boldklub
L 1.95 created, 1.34 conceded against Brøndby IF
D 1.47 created, 0.62 conceded against Sønderjyske Fodbold

AGF

1.58 xG created 1.58 xGA

D 1.27 created, 1.76 conceded against FC Midtjylland
W 1.64 created, 0.87 conceded against Sønderjyske Fodbold
W 0.59 created, 0.58 conceded against Brøndby IF
W 2.70 created, 2.09 conceded against Viborg FF
D 1.91 created, 0.81 conceded against Brøndby IF
D 1.35 created, 3.37 conceded against Lyngby

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

Head to head

Viborg FF: 0 won · 0 drawn · 4 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.