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We simulated Avispa Fukuoka vs Fagiano Okayama 100,000 times. Fagiano Okayama won 39,865 of them (39.9%), the draw came up 28% of the time and Avispa Fukuoka won 32.1%. No single score is common: 1-1 is the likeliest at 13.2%, while the likeliest Fagiano Okayama win is 0-1 (9.2%). Both teams score in 53.7% of simulations.
| Avispa Fukuoka win | 32.1% |
|---|---|
| Draw | 28% |
| Fagiano Okayama win | 39.9% |
| Most likely score | 1-1 (13.2%) |
| Expected goals | 1.23 – 1.40 |
| Both teams to score | 53.7% |
| Over 1.5 goals | 74.5% |
| Over 2.5 goals | 48.7% |
|---|---|
| Over 3.5 goals | 27.1% |
| Avispa Fukuoka score first | 42.6% |
| Fagiano Okayama score first | 49.1% |
| Avispa Fukuoka clean sheet | 25.1% |
| Fagiano Okayama clean sheet | 29.6% |
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/420605601 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Fagiano Okayama are favourites. They win 39.9% of our 100,000 simulations, against 28% for the draw and 32.1% for Avispa Fukuoka. Including the draw, Fagiano Okayama avoid defeat 67.9% of the time.
1-1, which came up in 13.2% of simulations. Next are 0-1 (9.2%) and 1-2 (8.5%). The likeliest Fagiano Okayama win is 0-1 (9.2%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 53.7% of simulations. Avispa Fukuoka keep a clean sheet 25.1% of the time and Fagiano Okayama 29.6%.
The simulations average 2.63 goals: 1.23 for Avispa Fukuoka and 1.40 for Fagiano Okayama. Over 1.5 goals lands 74.5% of the time, over 2.5 goals 48.7% and over 3.5 goals 27.1%.
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.