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For this page
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 Namibia vs Cameroon 100,000 times. Cameroon won 61,863 of them (61.9%), the draw came up 25.8% of the time and Namibia won 12.4%. The most likely score is 0-1 (18.3%), and both teams score in 33.7% of simulations.
| Namibia win | 12.4% |
|---|---|
| Draw | 25.8% |
| Cameroon win | 61.9% |
| Most likely score | 0-1 (18.3%) |
| Expected goals | 0.55 – 1.58 |
| Both teams to score | 33.7% |
| Over 1.5 goals | 62.9% |
| Over 2.5 goals | 35.7% |
|---|---|
| Over 3.5 goals | 16.8% |
| Namibia score first | 21.9% |
| Cameroon score first | 65.6% |
| Namibia clean sheet | 21.1% |
| Cameroon clean sheet | 57.9% |
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/420728687 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Cameroon are favourites. They win 61.9% of our 100,000 simulations, against 25.8% for the draw and 12.4% for Namibia. Including the draw, Cameroon avoid defeat 87.7% of the time.
0-1, which came up in 18.3% of simulations. Next are 0-2 (14.7%) 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 33.7% of simulations. Namibia keep a clean sheet 21.1% of the time and Cameroon 57.9%.
The simulations average 2.13 goals: 0.55 for Namibia and 1.58 for Cameroon. Over 1.5 goals lands 62.9% of the time, over 2.5 goals 35.7% and over 3.5 goals 16.8%.
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.