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For this page
How to Read Match Simulations Match simulations plays every upcoming game 100,000 times and counts what happened: results, goals, scorelines, corners, cards and where the simulated chance beats the price.No guide matches yet. Press enter to search the full text.
We simulated Bokelj vs Dečić 100,000 times. Bokelj won 35,886 of them (35.9%), the draw came up 28.3% of the time and Dečić won 35.8%. No single score is common: 1-1 is the likeliest at 12.9%, while the likeliest Bokelj win is 1-0 (12.3%). Both teams score in 44.4% of simulations.
Full time 2-0. Before kick-off the simulations had Bokelj winning 35.9% and gave this exact score 6.7%.
| Bokelj win | 35.9% |
|---|---|
| Draw | 28.3% |
| Dečić win | 35.8% |
| Most likely score | 1-1 (12.9%) |
| Expected goals | 1.11 – 1.11 |
| Both teams to score | 44.4% |
| Over 1.5 goals | 64.6% |
| Over 2.5 goals | 38.3% |
|---|---|
| Over 3.5 goals | 18.7% |
| Bokelj score first | 45.9% |
| Dečić score first | 43.2% |
| Bokelj clean sheet | 33.2% |
| Dečić clean sheet | 33.2% |
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/420601147 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Bokelj are favourites. They win 35.9% of our 100,000 simulations, against 28.3% for the draw and 35.8% for Dečić. Including the draw, Bokelj avoid defeat 64.2% of the time.
1-1, which came up in 12.9% of simulations. Next are 1-0 (12.3%) and 0-1 (12.3%). The likeliest Bokelj win is 1-0 (12.3%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 44.4% of simulations. Bokelj keep a clean sheet 33.2% of the time and Dečić 33.2%.
The simulations average 2.22 goals: 1.11 for Bokelj and 1.11 for Dečić. Over 1.5 goals lands 64.6% of the time, over 2.5 goals 38.3% and over 3.5 goals 18.7%.
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.