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We simulated Miami FC II vs Charleston Battery 100,000 times. Charleston Battery won 40,393 of them (40.4%), the draw came up 24.5% of the time and Miami FC II won 35.2%. No single score is common: 1-1 is the likeliest at 11.1%, while the likeliest Charleston Battery win is 1-2 (8.5%). Both teams score in 61.6% of simulations.
| Miami FC II win | 35.2% |
|---|---|
| Draw | 24.5% |
| Charleston Battery win | 40.4% |
| Most likely score | 1-1 (11.1%) |
| Expected goals | 1.49 – 1.61 |
| Both teams to score | 61.6% |
| Over 1.5 goals | 81.5% |
| Over 2.5 goals | 59.5% |
|---|---|
| Over 3.5 goals | 37.4% |
| Miami FC II score first | 44.9% |
| Charleston Battery score first | 50% |
| Miami FC II clean sheet | 20.5% |
| Charleston Battery clean sheet | 23.1% |
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/420520070 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Charleston Battery are favourites. They win 40.4% of our 100,000 simulations, against 24.5% for the draw and 35.2% for Miami FC II. Including the draw, Charleston Battery avoid defeat 64.9% of the time.
1-1, which came up in 11.1% of simulations. Next are 1-2 (8.5%) and 2-1 (7.9%). The likeliest Charleston Battery win is 1-2 (8.5%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 61.6% of simulations. Miami FC II keep a clean sheet 20.5% of the time and Charleston Battery 23.1%.
The simulations average 3.10 goals: 1.49 for Miami FC II and 1.61 for Charleston Battery. Over 1.5 goals lands 81.5% of the time, over 2.5 goals 59.5% and over 3.5 goals 37.4%.
Our v2 engine plays the match 100,000 times. It starts from the sharpest betting market (here Bet365), 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.