FC Nordsjælland 1:0 Randers FC: xG & match report · Superliga (Denmark)

Sunday, 02/08/2026 at 14:00

Full time

Match report · Superliga (Denmark)

FC Nordsjælland Home 3.70 xG · 18 shots

Randers FC Away 0.74 xG · 11 shots

10 The scoreline reflected the chances

Goals

90' Runar Robinsonn Norheim FC Nordsjælland · 0.94 xG chance 1–0

The shots behind it

FC Nordsjælland Randers FC

Shots: 18; 11
On target: 5; 4
Inside the box: 15; 4
xG per shot: 0.18; 0.07
Open play xG: 2.10; 0.68
Set-piece xG: 1.19; 0.04
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: 3.31 for FC Nordsjælland and 0.73 for Randers FC.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 4.01 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

FC Nordsjælland

2.01 xG created 1.54 xGA

D 2.45 created, 1.13 conceded against AGF
L 0.72 created, 2.42 conceded against Viborg FF
D 0.91 created, 1.49 conceded against Brøndby IF
D 2.40 created, 0.73 conceded against FC Midtjylland
W 2.90 created, 1.99 conceded against Sønderjyske Fodbold
D 2.66 created, 1.50 conceded against AC Horsens

Randers FC

1.44 xG created 1.18 xGA

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
D 0.60 created, 1.09 conceded against Silkeborg IF

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

Head to head

FC Nordsjælland: 1 won · 0 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.