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We simulated Syrianska vs Sleipner 100,000 times. Sleipner won 51,702 of them (51.7%), the draw came up 23.1% of the time and Syrianska won 25.2%. No single score is common: 1-1 is the likeliest at 9.8%, while the likeliest Sleipner win is 1-2 (9.1%). Both teams score in 67.1% of simulations.
Full time 3-1. Before kick-off the simulations had Syrianska winning 25.2% and gave this exact score 3%.
| Syrianska win | 25.2% |
|---|---|
| Draw | 23.1% |
| Sleipner win | 51.7% |
| Most likely score | 1-1 (9.8%) |
| Expected goals | 1.43 – 2.09 |
| Both teams to score | 67.1% |
| Over 1.5 goals | 87.3% |
| Over 2.5 goals | 67.9% |
|---|---|
| Over 3.5 goals | 46.6% |
| Syrianska score first | 41.4% |
| Sleipner score first | 54.6% |
| Syrianska clean sheet | 12.8% |
| Sleipner clean sheet | 24.4% |
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/420537433 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Sleipner are favourites. They win 51.7% of our 100,000 simulations, against 23.1% for the draw and 25.2% for Syrianska. Including the draw, Sleipner avoid defeat 74.8% of the time.
1-1, which came up in 9.8% of simulations. Next are 1-2 (9.1%) and 0-2 (6.5%). The likeliest Sleipner win is 1-2 (9.1%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 67.1% of simulations. Syrianska keep a clean sheet 12.8% of the time and Sleipner 24.4%.
The simulations average 3.52 goals: 1.43 for Syrianska and 2.09 for Sleipner. Over 1.5 goals lands 87.3% of the time, over 2.5 goals 67.9% and over 3.5 goals 46.6%.
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.