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We simulated FC Augsburg vs Hertha BSC 100,000 times. FC Augsburg won 43,811 of them (43.8%), the draw came up 21.4% of the time and Hertha BSC won 34.8%. No single score is common: 1-1 is the likeliest at 8.4%, while the likeliest FC Augsburg win is 2-1 (8.1%). Both teams score in 70.1% of simulations.
Full time 2-2. Before kick-off the simulations had the draw at 21.4% and gave this exact score 7%.
| FC Augsburg win | 43.8% |
|---|---|
| Draw | 21.4% |
| Hertha BSC win | 34.8% |
| Most likely score | 1-1 (8.4%) |
| Expected goals | 1.96 – 1.73 |
| Both teams to score | 70.1% |
| Over 1.5 goals | 88% |
| Over 2.5 goals | 71% |
|---|---|
| Over 3.5 goals | 50.3% |
| FC Augsburg score first | 55.5% |
| Hertha BSC score first | 41.8% |
| FC Augsburg clean sheet | 18.1% |
| Hertha BSC clean sheet | 14.5% |
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/420728875 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
FC Augsburg are favourites. They win 43.8% of our 100,000 simulations, against 21.4% for the draw and 34.8% for Hertha BSC. Including the draw, FC Augsburg avoid defeat 65.2% of the time.
1-1, which came up in 8.4% of simulations. Next are 2-1 (8.1%) and 1-2 (7.2%). The likeliest FC Augsburg win is 2-1 (8.1%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 70.1% of simulations. FC Augsburg keep a clean sheet 18.1% of the time and Hertha BSC 14.5%.
The simulations average 3.70 goals: 1.96 for FC Augsburg and 1.73 for Hertha BSC. Over 1.5 goals lands 88% of the time, over 2.5 goals 71% and over 3.5 goals 50.3%.
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.