We simulated Silkeborg IF vs Horsens 100,000 times. Silkeborg IF won 43,077 of them (43.1%), the draw came up 26.4% of the time and Horsens won 30.6%. No single score is common: 1-1 is the likeliest at 12.3%, while the likeliest Silkeborg IF win is 2-1 (8.9%). Both teams score in 57.6% of simulations.
Full time 3-3. Before kick-off the simulations had the draw at 26.4%. This exact score was outside the 15 likeliest.
| Silkeborg IF win | 43.1% |
|---|---|
| Draw | 26.4% |
| Horsens win | 30.6% |
| Most likely score | 1-1 (12.3%) |
| Expected goals | 1.57 – 1.29 |
| Both teams to score | 57.6% |
| Over 1.5 goals | 78.4% |
| Over 2.5 goals | 54.2% |
|---|---|
| Over 3.5 goals | 32.1% |
| Silkeborg IF score first | 58.7% |
| Horsens score first | 34.7% |
| Silkeborg IF clean sheet | 28% |
| Horsens clean sheet | 21.2% |
Every number on this page comes from one request: 1X2, scorelines, goal lines, halves, HT/FT, Asian handicaps, corners, cards and goal timing, plus the market comparison, value bets and the full expected-goals breakdown. Up to ten fixtures per call.
GET /api/predictions/generate/420585845 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Silkeborg IF are favourites. They win 43.1% of our 100,000 simulations, against 26.4% for the draw and 30.6% for Horsens. Including the draw, Silkeborg IF avoid defeat 69.4% of the time.
1-1, which came up in 12.3% of simulations. Next are 2-1 (8.9%) and 1-0 (8.2%). The likeliest Silkeborg IF win is 2-1 (8.9%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 57.6% of simulations. Silkeborg IF keep a clean sheet 28% of the time and Horsens 21.2%.
The simulations average 2.86 goals: 1.57 for Silkeborg IF and 1.29 for Horsens. Over 1.5 goals lands 78.4% of the time, over 2.5 goals 54.2% and over 3.5 goals 32.1%.
Our v2 engine plays the match 100,000 times. It starts from the sharpest betting market (here Pinnacle), blends in each team's recent attack and defence numbers and xG, then uses a Dixon-Coles model so low scores like 0-0 and 1-1 come up as often as they do in real football. Goal times, corners and cards are simulated minute by minute.
Every 20 minutes on matchday and every few hours before that, so it moves with team news and the betting market. The last pre-match run stays on the page after kick-off so you can compare it with the result.
