Randers FC 1:1 Silkeborg IF: xG & match report · Superliga (Denmark)

Monday, 27/07/2026 at 19:00

Full time

Match report · Superliga (Denmark)

Randers FC Home 0.60 xG · 8 shots

Silkeborg IF Away 1.09 xG · 12 shots

11 Silkeborg IF had the better chances, but it finished level

Goals

10' Mike Themsen Randers FC · 0.04 xG chance 1–0
45' Oliver Ross Silkeborg IF · 0.57 xG chance 1–1

The shots behind it

Randers FC Silkeborg IF

Shots: 8; 12
On target: 2; 6
Inside the box: 6; 6
xG per shot: 0.07; 0.09
Open play xG: 0.45; 0.93
Set-piece xG: 0.10; 0.17
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: 0.54 for Randers FC and 1.09 for Silkeborg IF.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

20 shots · 1.65 xG

Hover, focus or tap a shot to read it.

Randers FC
Silkeborg IF
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Randers FC

1.55 xG created 1.24 xGA

L 1.27 created, 1.45 conceded against Odense Boldklub
D 1.45 created, 0.77 conceded against FC Fredericia
L 2.43 created, 1.35 conceded against Silkeborg IF
W 1.94 created, 0.70 conceded against Vejle
D 1.99 created, 0.94 conceded against Odense Boldklub
L 0.22 created, 2.21 conceded against FC København

Silkeborg IF

1.51 xG created 2.41 xGA

D 2.16 created, 1.40 conceded against FC Fredericia
W 1.23 created, 1.15 conceded against Vejle
W 1.35 created, 2.43 conceded against Randers FC
W 1.70 created, 3.79 conceded against Odense Boldklub
L 1.13 created, 2.90 conceded against FC København
L 1.46 created, 2.78 conceded against FC Fredericia

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

Head to head

Randers FC: 1 won · 1 drawn · 2 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.