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We simulated Juventud Unida Univ. vs San Martín Mendoza 100,000 times. Juventud Unida Univ. won 47,112 of them (47.1%), the draw came up 33.4% of the time and San Martín Mendoza won 19.5%. The most likely score is 1-0 (18.3%), and both teams score in 32.8% of simulations.
Full time 0-0. Before kick-off the simulations had the draw at 33.4% and gave this exact score 18%.
| Juventud Unida Univ. win | 47.1% |
|---|---|
| Draw | 33.4% |
| San Martín Mendoza win | 19.5% |
| Most likely score | 1-0 (18.3%) |
| Expected goals | 1.15 – 0.63 |
| Both teams to score | 32.8% |
| Over 1.5 goals | 54% |
| Over 2.5 goals | 26.5% |
|---|---|
| Over 3.5 goals | 10.7% |
| Juventud Unida Univ. score first | 52.9% |
| San Martín Mendoza score first | 28.8% |
| Juventud Unida Univ. clean sheet | 53.2% |
| San Martín Mendoza clean sheet | 32% |
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/420593269 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Juventud Unida Univ. are favourites. They win 47.1% of our 100,000 simulations, against 33.4% for the draw and 19.5% for San Martín Mendoza. Including the draw, Juventud Unida Univ. avoid defeat 80.6% of the time.
1-0, which came up in 18.3% of simulations. Next are 0-0 (18%) and 1-1 (13%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 32.8% of simulations. Juventud Unida Univ. keep a clean sheet 53.2% of the time and San Martín Mendoza 32%.
The simulations average 1.78 goals: 1.15 for Juventud Unida Univ. and 0.63 for San Martín Mendoza. Over 1.5 goals lands 54% of the time, over 2.5 goals 26.5% and over 3.5 goals 10.7%.
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.