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We simulated Grobiņa vs Ogre United 100,000 times. Grobiņa won 54,177 of them (54.2%), the draw came up 24.6% of the time and Ogre United won 21.2%. No single score is common: 1-1 is the likeliest at 11.6%, while the likeliest Grobiņa win is 1-0 (10.1%). Both teams score in 53.6% of simulations.
Full time 3-2. Before kick-off the simulations had Grobiņa winning 54.2% and gave this exact score 2.9%.
| Grobiņa win | 54.2% |
|---|---|
| Draw | 24.6% |
| Ogre United win | 21.2% |
| Most likely score | 1-1 (11.6%) |
| Expected goals | 1.78 – 1.03 |
| Both teams to score | 53.6% |
| Over 1.5 goals | 77.4% |
| Over 2.5 goals | 53% |
|---|---|
| Over 3.5 goals | 31% |
| Grobiņa score first | 60.1% |
| Ogre United score first | 32.9% |
| Grobiņa clean sheet | 36.1% |
| Ogre United clean sheet | 17.3% |
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/420519538 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Grobiņa are favourites. They win 54.2% of our 100,000 simulations, against 24.6% for the draw and 21.2% for Ogre United. Including the draw, Grobiņa avoid defeat 78.8% of the time.
1-1, which came up in 11.6% of simulations. Next are 1-0 (10.1%) and 2-1 (9.6%). The likeliest Grobiņa win is 1-0 (10.1%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 53.6% of simulations. Grobiņa keep a clean sheet 36.1% of the time and Ogre United 17.3%.
The simulations average 2.81 goals: 1.78 for Grobiņa and 1.03 for Ogre United. Over 1.5 goals lands 77.4% of the time, over 2.5 goals 53% and over 3.5 goals 31%.
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.