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We simulated FC Ostrovets vs Slutsk 100,000 times. Slutsk won 59,937 of them (59.9%), the draw came up 21.2% of the time and FC Ostrovets won 18.9%. No single score is common: 1-1 is the likeliest at 9.8%, while the likeliest Slutsk win is 1-2 (9.7%). Both teams score in 56.3% of simulations.
Full time 2-1. Before kick-off the simulations had FC Ostrovets winning 18.9% and gave this exact score 5.1%.
| FC Ostrovets win | 18.9% |
|---|---|
| Draw | 21.2% |
| Slutsk win | 59.9% |
| Most likely score | 1-1 (9.8%) |
| Expected goals | 1.05 – 2.05 |
| Both teams to score | 56.3% |
| Over 1.5 goals | 81.4% |
| Over 2.5 goals | 59.7% |
|---|---|
| Over 3.5 goals | 37.7% |
| FC Ostrovets score first | 33.6% |
| Slutsk score first | 61.5% |
| FC Ostrovets clean sheet | 13.3% |
| Slutsk clean sheet | 35.2% |
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/420541506 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Slutsk are favourites. They win 59.9% of our 100,000 simulations, against 21.2% for the draw and 18.9% for FC Ostrovets. Including the draw, Slutsk avoid defeat 81.1% of the time.
1-1, which came up in 9.8% of simulations. Next are 1-2 (9.7%) and 0-2 (9.3%). The likeliest Slutsk win is 1-2 (9.7%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 56.3% of simulations. FC Ostrovets keep a clean sheet 13.3% of the time and Slutsk 35.2%.
The simulations average 3.11 goals: 1.05 for FC Ostrovets and 2.05 for Slutsk. Over 1.5 goals lands 81.4% of the time, over 2.5 goals 59.7% and over 3.5 goals 37.7%.
Our v2 engine plays the match 100,000 times. It starts from the sharpest betting market (here 1xBet), 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.