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Silkeborg IF v AC Horsens — Prediction, Odds & Stats

Sunday 11 October 2026 · DEN-Superliga · 2627

DEN-Superliga results-only Prediction generated

AI prediction

ai-blend v1.0 daily
Silkeborg IF win
42.2%
Draw
26.0%
AC Horsens win
31.8%

Raw model output; no calibration record for this fixture's bands yet.

Top 5 scorelines

  1. 1-1 12.2%
  2. 2-1 9.0%
  3. 1-0 7.8%
  4. 1-2 7.7%
  5. 2-0 6.7%

Goals

Over 2.555.6% Under 2.544.4%
BTTS yes59.2% BTTS no40.8%
Silkeborg IF 1+79.3% Silkeborg IF 2+46.6%
AC Horsens 1+73.7% AC Horsens 2+38.6%

Expected goals 1.57 – 1.34. Every market above is read off one scoreline distribution.

Footing

AI confidence
66/100
Data quality
45/100
Model agreement
98%
★ Best pick
Nothing on a measured band prices above 1.18 here.
★ Most likely to land
Nothing on a measured band prices above 1.18 here.

Positive factors

  • Nothing in the data singles out Silkeborg IF.

Risk factors

  • Data quality is 45/100, so this price rests on less than the model would like.
  • AC Horsens have only 5 matches on record.
Why the model thinks this

The price

Silkeborg IF have an estimated 42.2% win probability, against 31.8% for AC Horsens and 26.0% for the draw. Expected goals from the ensemble are 1.57 for Silkeborg IF and 1.34 for AC Horsens.

Why Silkeborg IF

Nothing in the data singles out Silkeborg IF.

Why the draw is live

The draw sits at 26.0%. The sides are closely matched on expected goals, 1.57 to 1.34. Draws run at 25% in this competition.

Why AC Horsens can win

AC Horsens carry the stronger rating, 1481 Elo against 1453.

Key players

No player-level data for this fixture; the leagues with lineups are the big five.

Availability

No lineup on record for Silkeborg IF, so availability is unknown. No lineup on record for AC Horsens, so availability is unknown.

The matchup, as far as the data reaches

Silkeborg IF: 46% possession, 11.0 shots a match, 14.4 faced, 0.30 xG a match from set pieces. AC Horsens: 46% possession, 9.2 shots a match, 14.6 faced, 0.30 xG a match from set pieces.

Inputs last refreshed: matches 2026-09-05 22:20 · team_stats 2026-09-05 09:41 · availability 2026-09-05 21:03 · prediction 2026-09-05 18:39 ·

Silkeborg IF are the model's most likely outcome at 42.2%. The likeliest scoreline is 1-1 at 12.2%. Confidence 66/100, data quality 45/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
dc-xg 1.76–1.48 1-1 11% 63% 65%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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On this page

Match

What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

Things to watch

The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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