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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 Glebe North vs St Mochtas 100,000 times. St Mochtas won 72,662 of them (72.7%), the draw came up 15.2% of the time and Glebe North won 12.2%. The most likely score is 1-2 (8.5%), and both teams score in 62% of simulations.
| Glebe North win | 12.2% |
|---|---|
| Draw | 15.2% |
| St Mochtas win | 72.7% |
| Most likely score | 1-2 (8.5%) |
| Expected goals | 1.09 – 2.82 |
| Both teams to score | 62% |
| Over 1.5 goals | 89.8% |
| Over 2.5 goals | 74.3% |
|---|---|
| Over 3.5 goals | 54.6% |
| Glebe North score first | 23.5% |
| St Mochtas score first | 74.2% |
| Glebe North clean sheet | 6.3% |
| St Mochtas clean sheet | 33.9% |
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/420741099 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
St Mochtas are favourites. They win 72.7% of our 100,000 simulations, against 15.2% for the draw and 12.2% for Glebe North. Including the draw, St Mochtas avoid defeat 87.8% of the time.
1-2, which came up in 8.5% of simulations. Next are 0-2 (8%) and 1-3 (7.9%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 62% of simulations. Glebe North keep a clean sheet 6.3% of the time and St Mochtas 33.9%.
The simulations average 3.91 goals: 1.09 for Glebe North and 2.82 for St Mochtas. Over 1.5 goals lands 89.8% of the time, over 2.5 goals 74.3% and over 3.5 goals 54.6%.
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.