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For this page
How to Read Match Simulations Match simulations plays every upcoming game 100,000 times and counts what happened: results, goals, scorelines, corners, cards and where the simulated chance beats the price.No guide matches yet. Press enter to search the full text.
We simulated Malmö FF W vs Rosengard W 100,000 times. Malmö FF W won 65,286 of them (65.3%), the draw came up 21.1% of the time and Rosengard W won 13.6%. The most likely score is 2-0 (12%), and both teams score in 47.8% of simulations.
Full time 1-0. Before kick-off the simulations had Malmö FF W winning 65.3% and gave this exact score 11.7%.
| Malmö FF W win | 65.3% |
|---|---|
| Draw | 21.1% |
| Rosengard W win | 13.6% |
| Most likely score | 2-0 (12%) |
| Expected goals | 2.03 – 0.80 |
| Both teams to score | 47.8% |
| Over 1.5 goals | 77.3% |
| Over 2.5 goals | 53.4% |
|---|---|
| Over 3.5 goals | 31.4% |
| Malmö FF W score first | 69.7% |
| Rosengard W score first | 23.6% |
| Malmö FF W clean sheet | 45.2% |
| Rosengard W clean sheet | 13.6% |
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/420537939 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Malmö FF W are favourites. They win 65.3% of our 100,000 simulations, against 21.1% for the draw and 13.6% for Rosengard W. Including the draw, Malmö FF W avoid defeat 86.4% of the time.
2-0, which came up in 12% of simulations. Next are 1-0 (11.7%) and 1-1 (9.9%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 47.8% of simulations. Malmö FF W keep a clean sheet 45.2% of the time and Rosengard W 13.6%.
The simulations average 2.83 goals: 2.03 for Malmö FF W and 0.80 for Rosengard W. Over 1.5 goals lands 77.3% of the time, over 2.5 goals 53.4% and over 3.5 goals 31.4%.
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.