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We simulated Charlton Athletic vs Bristol City 100,000 times. Bristol City won 39,818 of them (39.8%), the draw came up 29.1% of the time and Charlton Athletic won 31.1%. No single score is common: 1-1 is the likeliest at 13.7%, while the likeliest Bristol City win is 0-1 (10.5%). Both teams score in 49.9% of simulations.
| Charlton Athletic win | 31.1% |
|---|---|
| Draw | 29.1% |
| Bristol City win | 39.8% |
| Most likely score | 1-1 (13.7%) |
| Expected goals | 1.13 – 1.31 |
| Both teams to score | 49.9% |
| Over 1.5 goals | 70.6% |
| Over 2.5 goals | 43.9% |
|---|---|
| Over 3.5 goals | 23.1% |
| Charlton Athletic score first | 38.1% |
| Bristol City score first | 51.9% |
| Charlton Athletic clean sheet | 27.3% |
| Bristol City clean sheet | 32.7% |
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/420644090 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Bristol City are favourites. They win 39.8% of our 100,000 simulations, against 29.1% for the draw and 31.1% for Charlton Athletic. Including the draw, Bristol City avoid defeat 68.9% of the time.
1-1, which came up in 13.7% of simulations. Next are 0-1 (10.5%) and 0-0 (9.9%). The likeliest Bristol City win is 0-1 (10.5%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 49.9% of simulations. Charlton Athletic keep a clean sheet 27.3% of the time and Bristol City 32.7%.
The simulations average 2.44 goals: 1.13 for Charlton Athletic and 1.31 for Bristol City. Over 1.5 goals lands 70.6% of the time, over 2.5 goals 43.9% and over 3.5 goals 23.1%.
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.