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How to Read Match Simulations Match simulations plays every upcoming game 100,000 times and counts what happened: results, goals, scorelines, corners, cards and where the simulated chance beats the price.No guide matches yet. Press enter to search the full text.
We simulated CA Batna vs AS Khroub 100,000 times. CA Batna won 64,715 of them (64.7%), the draw came up 24.3% of the time and AS Khroub won 10.9%. The most likely score is 1-0 (19.7%), and both teams score in 30.7% of simulations.
Full time 1-0. Before kick-off the simulations had CA Batna winning 64.7% and gave this exact score 19.7%.
| CA Batna win | 64.7% |
|---|---|
| Draw | 24.3% |
| AS Khroub win | 10.9% |
| Most likely score | 1-0 (19.7%) |
| Expected goals | 1.61 – 0.49 |
| Both teams to score | 30.7% |
| Over 1.5 goals | 61.7% |
| Over 2.5 goals | 34.8% |
|---|---|
| Over 3.5 goals | 16.2% |
| CA Batna score first | 67.1% |
| AS Khroub score first | 20.9% |
| CA Batna clean sheet | 61.5% |
| AS Khroub clean sheet | 20.5% |
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/420729955 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
CA Batna are favourites. They win 64.7% of our 100,000 simulations, against 24.3% for the draw and 10.9% for AS Khroub. Including the draw, CA Batna avoid defeat 89.1% of the time.
1-0, which came up in 19.7% of simulations. Next are 2-0 (15.7%) and 0-0 (12.7%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 30.7% of simulations. CA Batna keep a clean sheet 61.5% of the time and AS Khroub 20.5%.
The simulations average 2.09 goals: 1.61 for CA Batna and 0.49 for AS Khroub. Over 1.5 goals lands 61.7% of the time, over 2.5 goals 34.8% and over 3.5 goals 16.2%.
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.