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We simulated Aarhus Fremad vs Hillerød 100,000 times. Aarhus Fremad won 41,178 of them (41.2%), the draw came up 25.9% of the time and Hillerød won 32.9%. No single score is common: 1-1 is the likeliest at 12.2%, while the likeliest Aarhus Fremad win is 1-0 (9.1%). Both teams score in 55.5% of simulations.
Full time 2-0. Before kick-off the simulations had Aarhus Fremad winning 41.2% and gave this exact score 6.9%.
| Aarhus Fremad win | 41.2% |
|---|---|
| Draw | 25.9% |
| Hillerød win | 32.9% |
| Most likely score | 1-1 (12.2%) |
| Expected goals | 1.47 – 1.29 |
| Both teams to score | 55.5% |
| Over 1.5 goals | 76.1% |
| Over 2.5 goals | 51.8% |
|---|---|
| Over 3.5 goals | 29.9% |
| Aarhus Fremad score first | 50.2% |
| Hillerød score first | 43.1% |
| Aarhus Fremad clean sheet | 28% |
| Hillerød clean sheet | 23.4% |
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/420585191 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Aarhus Fremad are favourites. They win 41.2% of our 100,000 simulations, against 25.9% for the draw and 32.9% for Hillerød. Including the draw, Aarhus Fremad avoid defeat 67.1% of the time.
1-1, which came up in 12.2% of simulations. Next are 1-0 (9.1%) and 2-1 (8.7%). The likeliest Aarhus Fremad win is 1-0 (9.1%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 55.5% of simulations. Aarhus Fremad keep a clean sheet 28% of the time and Hillerød 23.4%.
The simulations average 2.76 goals: 1.47 for Aarhus Fremad and 1.29 for Hillerød. Over 1.5 goals lands 76.1% of the time, over 2.5 goals 51.8% and over 3.5 goals 29.9%.
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.