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We simulated Al Shamal SC vs Al Hilal 100,000 times. Al Hilal won 53,637 of them (53.6%), the draw came up 21.1% of the time and Al Shamal SC won 25.3%. No single score is common: 1-1 is the likeliest at 9.5%, while the likeliest Al Hilal win is 1-2 (9.5%). Both teams score in 59.6% of simulations.
Full time 3-1. Before kick-off the simulations had Al Shamal SC winning 25.3% and gave this exact score 2.6%.
| Al Shamal SC win | 25.3% |
|---|---|
| Draw | 21.1% |
| Al Hilal win | 53.6% |
| Most likely score | 1-1 (9.5%) |
| Expected goals | 1.24 – 1.92 |
| Both teams to score | 59.6% |
| Over 1.5 goals | 81.5% |
| Over 2.5 goals | 60.9% |
|---|---|
| Over 3.5 goals | 38.8% |
| Al Shamal SC score first | 38.7% |
| Al Hilal score first | 57.5% |
| Al Shamal SC clean sheet | 15.1% |
| Al Hilal clean sheet | 29.3% |
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/420661065 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Al Hilal are favourites. They win 53.6% of our 100,000 simulations, against 21.1% for the draw and 25.3% for Al Shamal SC. Including the draw, Al Hilal avoid defeat 74.7% of the time.
1-1, which came up in 9.5% of simulations. Next are 1-2 (9.5%) and 0-1 (8.7%). The likeliest Al Hilal win is 1-2 (9.5%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 59.6% of simulations. Al Shamal SC keep a clean sheet 15.1% of the time and Al Hilal 29.3%.
The simulations average 3.16 goals: 1.24 for Al Shamal SC and 1.92 for Al Hilal. Over 1.5 goals lands 81.5% of the time, over 2.5 goals 60.9% and over 3.5 goals 38.8%.
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.