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We simulated Charleston Battery vs Louisville City 100,000 times. Charleston Battery won 46,930 of them (46.9%), the draw came up 25.6% of the time and Louisville City won 27.5%. No single score is common: 1-1 is the likeliest at 11.8%, while the likeliest Charleston Battery win is 2-1 (9.2%). Both teams score in 60.4% of simulations.
| Charleston Battery win | 46.9% |
|---|---|
| Draw | 25.6% |
| Louisville City win | 27.5% |
| Most likely score | 1-1 (11.8%) |
| Expected goals | 1.75 – 1.29 |
| Both teams to score | 60.4% |
| Over 1.5 goals | 81.4% |
| Over 2.5 goals | 58.3% |
|---|---|
| Over 3.5 goals | 36.2% |
| Charleston Battery score first | 55.4% |
| Louisville City score first | 38.5% |
| Charleston Battery clean sheet | 27.9% |
| Louisville City clean sheet | 17.9% |
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/420520074 ?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 46.9% of our 100,000 simulations, against 25.6% for the draw and 27.5% for Louisville City. Including the draw, Charleston Battery avoid defeat 72.5% of the time.
1-1, which came up in 11.8% of simulations. Next are 2-1 (9.2%) and 1-0 (7.3%). The likeliest Charleston Battery win is 2-1 (9.2%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 60.4% of simulations. Charleston Battery keep a clean sheet 27.9% of the time and Louisville City 17.9%.
The simulations average 3.04 goals: 1.75 for Charleston Battery and 1.29 for Louisville City. Over 1.5 goals lands 81.4% of the time, over 2.5 goals 58.3% and over 3.5 goals 36.2%.
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.