We simulated New York RB vs Toronto 100,000 times. New York RB won 49,406 of them (49.4%), the draw came up 24.2% of the time and Toronto won 26.4%. No single score is common: 1-1 is the likeliest at 10.8%, while the likeliest New York RB win is 2-1 (9.2%). Both teams score in 63.6% of simulations.
| New York RB win | 49.4% |
|---|---|
| Draw | 24.2% |
| Toronto win | 26.4% |
| Most likely score | 1-1 (10.8%) |
| Expected goals | 1.91 – 1.36 |
| Both teams to score | 63.6% |
| Over 1.5 goals | 84.4% |
| Over 2.5 goals | 63.1% |
|---|---|
| Over 3.5 goals | 41.2% |
| New York RB score first | 60.6% |
| Toronto score first | 34.5% |
| New York RB clean sheet | 26.2% |
| Toronto clean sheet | 15.3% |
CF Montréal
Atlanta United
1.7–1.4
xG
58%
Over 2.5
Cincinnati
New England
2.2–1.4
xG
70%
Over 2.5
DC United
New York RB
1.8–1.3
xG
61%
Over 2.5
Columbus Crew
Charlotte
1.9–1.3
xG
62%
Over 2.5
Inter Miami
New York City
2.4–1.2
xG
68%
Over 2.5
Toronto
Orlando City
2.0–1.6
xG
70%
Over 2.5
Nashville SC
Sporting KC
3.0–0.9
xG
75%
Over 2.5
St. Louis City
Vancouver Whitecaps
1.8–1.5
xG
65%
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/420509981 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
New York RB are favourites. They win 49.4% of our 100,000 simulations, against 24.2% for the draw and 26.4% for Toronto. Including the draw, New York RB avoid defeat 73.6% of the time.
1-1, which came up in 10.8% of simulations. Next are 2-1 (9.2%) and 2-0 (7%). The likeliest New York RB win is 2-1 (9.2%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 63.6% of simulations. New York RB keep a clean sheet 26.2% of the time and Toronto 15.3%.
The simulations average 3.27 goals: 1.91 for New York RB and 1.36 for Toronto. Over 1.5 goals lands 84.4% of the time, over 2.5 goals 63.1% and over 3.5 goals 41.2%.
Our v2 engine plays the match 100,000 times. It starts from the sharpest betting market (here Bet365), 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.
