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We simulated San Telmo vs Defensores de Belgrano 100,000 times. The draw was the most common result at 41.8%, with San Telmo on 29% and Defensores de Belgrano on 29.2%. The most likely score is 0-0 (23.7%), and both teams score in 33.3% of simulations.
Full time 0-0. Before kick-off the simulations had the draw at 41.8% and gave this exact score 23.7%.
| San Telmo win | 29% |
|---|---|
| Draw | 41.8% |
| Defensores de Belgrano win | 29.2% |
| Most likely score | 0-0 (23.7%) |
| Expected goals | 0.80 – 0.80 |
| Both teams to score | 33.3% |
| Over 1.5 goals | 50.6% |
| Over 2.5 goals | 21.7% |
|---|---|
| Over 3.5 goals | 8% |
| San Telmo score first | 39.5% |
| Defensores de Belgrano score first | 37.2% |
| San Telmo clean sheet | 45.1% |
| Defensores de Belgrano clean sheet | 45.3% |
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/420503237 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Defensores de Belgrano are favourites. They win 29.2% of our 100,000 simulations, against 41.8% for the draw and 29% for San Telmo. Including the draw, Defensores de Belgrano avoid defeat 71% of the time.
0-0, which came up in 23.7% of simulations. Next are 1-1 (15.9%) and 0-1 (12.9%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 33.3% of simulations. San Telmo keep a clean sheet 45.1% of the time and Defensores de Belgrano 45.3%.
The simulations average 1.60 goals: 0.80 for San Telmo and 0.80 for Defensores de Belgrano. Over 1.5 goals lands 50.6% of the time, over 2.5 goals 21.7% and over 3.5 goals 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.