xgEdge

Monday, 12/10/2026 at 19:00

8d 18h to kick-off
Match preview · Superliga (Denmark)

AGF – Sønderjyske Fodbold

AGF 11th in Superliga (Denmark) Home 1.99 projected goals by the model
Sønderjyske Fodbold 12th in Superliga (Denmark) Away 0.97 projected goals by the model

Model updated 3 October, 21:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
1.99 0.97
AGF Sønderjyske Fodbold
AGF
61%
Draw
24%
Sønderjyske Fodbold
15%
The odds each result is fair at by the model's chance of it, with no margin in it
AGF Draw Sønderjyske Fodbold
Fair odds 1.64 4.10 6.83
Total goals
2.96
Over 2.5 goals
59%
Both teams to score
59%
Data coverage · full

Both teams have the full 20-match model window available.

Model vs market

The model sees an edge in 2 outcomes.

  • AGF

    Model
    61.0%
    Market, margin removed
    58.0%
    Probability gap
    +3.0 pp
    Edge
    −4.2%
    Fair odds
    1.64
    Market odds
    1.57 Paddy Power
    Price at which a 5% edge begins
    1.72
    Bookmaker margin
    9.7%
  • Draw

    Model
    24.4%
    Market, margin removed
    21.7%
    Probability gap
    +2.7 pp
    Edge
    +2.4%
    Fair odds
    4.10
    Market odds
    4.20 Paddy Power
    Price at which a 5% edge begins
    4.31
    Bookmaker margin
    9.7%
  • Sønderjyske Fodbold

    Model
    14.6%
    Market, margin removed
    20.3%
    Probability gap
    −5.6 pp
    Edge
    −34.1%
    Fair odds
    6.83
    Market odds
    4.50 Paddy Power
    Price at which a 5% edge begins
    7.17
    Bookmaker margin
    9.7%
Markets 2 / 7

Match result

Draw model 24.4% · book 21.7% (no margin) +2.4% 4.20 fair 4.10
Marginal

No measured model skill on this market (-1.04%).

Goals

Under 2.5 goals model 41.4% · book 35.7% (no margin) +7.6% 2.60 fair 2.42
Worth playing

No measured model skill on this market (-0.89%).

Show every rated outcome

Skill is what a backtest measured each market at, over 7 competitions to 17/08/2026. Across every market at once it is +2.50%. Markets measured at nothing are ranked last and never recommended. How that is measured →

The model's case

Why the model leans AGF

61% AGF to win

Attack
3rd vs 12th
AGF attack v Sønderjyske Fodbold defence
Defence
3rd vs 10th
AGF defence v Sønderjyske Fodbold attack
Recent xG form
+0.07 vs -0.86
xGD per match, last 6
Projected goals
1.99 – 0.97
AGF v Sønderjyske Fodbold
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: AGF and Sønderjyske Fodbold compared, each figure with where it places in the competition.
Reading AGF Sønderjyske Fodbold
xG / match (better) 1.60 · joint 4th 1.01 · 12th
xGA / match (better) 1.56 · 8th 1.81 · 12th
xGD / match (better) +0.04 · 6th -0.80 · 12th
xPts / match (better) 1.49 · 6th 0.82 · 12th
Last 6 xGD / match (better) +0.07 -0.86

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 34% of the model's distribution.

AGF clean sheet
35%
AGF 2+ goals
61%
Under 2.5 goals
41%
Both teams to score: no
41%

Most likely scorelines

1:1
12.3%
2:1
11.8%
2:0
10.3%
Value calculator

Check your bookmaker's price

The prices above are one bookmaker's. Type your own to check it against the model.

How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
AGF sample
20 matches
Sønderjyske Fodbold sample
20 matches
Home xG sample · AGF
4 matches
Away xG sample · Sønderjyske Fodbold
4 matches
Computed
Saturday, 03/10/2026 at 21:30
Odds updated
1 minute ago

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.