01 · 2 legs
Safe
- Silkeborg to win47%
- Over 1.5 goals80%
Danish SuperligaJYSK park, Silkeborg8°2,4 mm13 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
Silkeborg's 47% edge in the model probabilities hints at a subtle advantage for the hosts, despite trailing Horsens by a point in the standings. Yet, numbers often tell a richer story than the table alone. The expected goals paint a nuanced picture: Silkeborg sit at 1.65 xG while their visitors manage 1.33 xG. This suggests that while Silkeborg might not dominate possession, their counter-attacking style — reliant on swift transitions and crosses — could prove effective against Horsens' possession-heavy approach.
However, defensive vulnerabilities lurk beneath the surface. Silkeborg's xGA is notably tighter at 1.4 compared to Horsens' leaky 1.9. This disparity in defensive solidity might tip the scales slightly in favor of the home team, especially when combined with their knack for capitalizing on counter-attacks. With a 60% chance of both teams finding the back of the net, it seems likely that goals will be exchanged, adding a layer of intrigue to the expected tactical battle.
While Silkeborg's xPoints lead of 13.0 to Horsens' 10.1 suggests they’ve been performing below potential, Horsens' slight edge in xG per match at 1.1 indicates a capacity to create — albeit less efficiently than their defensive woes imply. The rain forecast of 2.4 mm could dampen Silkeborg’s crossing game, but this factor is already accounted for in the calculated probabilities.
The small head-to-head sample between these sides means little; form and expected goals provide a firmer foundation for prediction. With a most likely outcome of 1-1 (11%), followed by a 2-1 victory for Silkeborg (9%), the model leans towards a narrow home win. The over 2.5 goals expectation of 57% also suggests a lean towards a more open game than the rain might suggest.
The sharpest betting angle lies in backing the home side with LeoVegas offering odds of 2.2, delivering a 4% edge in value over the model's estimation. Silkeborg may just edge this one with their tactical adaptability and slight defensive superiority.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Silkeborg | X | 2 · Horsens |
|---|---|---|---|
| Betsafe | EV+ 3% 2.18 | 3.65 | 3.05 |
| LeoVegas | EV+ 4% 2.20 | 3.55 | 3.10 |
| Nordicbet | EV+ 4% 2.20 | 3.65 | 3.10 |
Odds updated 3 Oct, 07:36
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Silkeborg | Horsens |
|---|---|---|
| Points | 10 | 11 |
| xPoints | 13 | 10.1 |
| xG per match | 1 | 1.1 |
| xGA per match | 1.4 | 1.9 |
| xG within 8s of winning the ball | 0.27 | 0.31 |
| xGA within 8s of losing the ball | 0.29 | 0.26 |
| Playing style | Silkeborg | Horsens |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.36 | 0.35 |
| xT per match | 0.65 | 0.66 |
| xTA per match | 1.2 | 1.5 |
| Won balls, offensive half | 19 | 22 |
| Pressing intensity | 0.26 | 0.24 |
| Pressing efficiency | 0.25 | 0.26 |
| Pressing efficiency, offensive half | 0.19 | 0.2 |
| Entries into the box per match | 11 | 9 |
| Entries into the box against | 16 | 16 |
| Pass completion % | 0.8 | 0.76 |
| Pass completion % under pressure | 0.75 | 0.72 |
| Passes per match | 417 | 352 |
| Passes against per match | 458 | 414 |
| Switches of play per match | 17.3 | 21.8 |
| Long balls per match | 24 | 30 |
| Set pieces | Silkeborg | Horsens |
|---|---|---|
| xG from free kicks | 0.05 | 0.07 |
| Corners per match | 4.2 | 2.9 |
| Corners against per match | 6.4 | 6.6 |
| xG per corner | 0.01 | 0.02 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.55 | 0.46 |
| First touch, defensive corners % | 0.61 | 0.7 |
| Other | Silkeborg | Horsens |
|---|---|---|
| Throw-in control | 0.72 | 0.73 |
| The goalkeepers | Aske Andresen (Silkeborg) | Matej Delac (Horsens) |
|---|---|---|
| Saves | 28 | 28 |
| Save % | 70% | 67% |
| xG prevented | 44% | 58% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Silkeborg a 47% win probability. Full 1X2 picture: Silkeborg 47%, draw 24%, Horsens 28%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 57% and under at 43%.
The probability of both teams scoring is 60% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.