We simulated Monaco vs Toulouse 100,000 times. Monaco won 57,641 of them (57.6%), the draw came up 22.2% of the time and Toulouse won 20.2%. No single score is common: 1-1 is the likeliest at 10.2%, while the likeliest Monaco win is 2-1 (9.7%). Both teams score in 58% of simulations.
| Monaco win | 57.6% |
|---|---|
| Draw | 22.2% |
| Toulouse win | 20.2% |
| Most likely score | 1-1 (10.2%) |
| Expected goals | 2.02 – 1.11 |
| Both teams to score | 58% |
| Over 1.5 goals | 82% |
| Over 2.5 goals | 60.2% |
|---|---|
| Over 3.5 goals | 38.1% |
| Monaco score first | 62% |
| Toulouse score first | 33% |
| Monaco clean sheet | 33.3% |
| Toulouse clean sheet | 13.7% |
Lens
Olympique Lyonnais
1.6–1.5
xG
60%
Over 2.5
LOSC Lille
Le Havre
2.0–1.0
xG
56%
Over 2.5
Paris Saint Germain
Le Mans
3.4–0.6
xG
75%
Over 2.5
Brest
Angers SCO
1.6–1.2
xG
55%
Over 2.5
Lorient
Paris
1.3–1.4
xG
49%
Over 2.5
Nice
Strasbourg
1.7–1.3
xG
57%
Over 2.5
Rennes
Auxerre
2.2–1.1
xG
63%
Over 2.5
Troyes
Olympique Marseille
1.4–1.8
xG
61%
Over 2.5
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/420660806 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Monaco are favourites. They win 57.6% of our 100,000 simulations, against 22.2% for the draw and 20.2% for Toulouse. Including the draw, Monaco avoid defeat 79.8% of the time.
1-1, which came up in 10.2% of simulations. Next are 2-1 (9.7%) and 2-0 (8.9%). The likeliest Monaco win is 2-1 (9.7%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 58% of simulations. Monaco keep a clean sheet 33.3% of the time and Toulouse 13.7%.
The simulations average 3.13 goals: 2.02 for Monaco and 1.11 for Toulouse. Over 1.5 goals lands 82% of the time, over 2.5 goals 60.2% and over 3.5 goals 38.1%.
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.
