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We simulated Columbus Crew vs New York RB 100,000 times. Columbus Crew won 54,787 of them (54.8%), the draw came up 22.5% of the time and New York RB won 22.7%. No single score is common: 1-1 is the likeliest at 9.8%, while the likeliest Columbus Crew win is 2-1 (9.3%). Both teams score in 65.1% of simulations.
Full time 0-1. Before kick-off the simulations had New York RB winning 22.7% and gave this exact score 3.3%.
| Columbus Crew win | 54.8% |
|---|---|
| Draw | 22.5% |
| New York RB win | 22.7% |
| Most likely score | 1-1 (9.8%) |
| Expected goals | 2.13 – 1.33 |
| Both teams to score | 65.1% |
| Over 1.5 goals | 86.5% |
| Over 2.5 goals | 66.8% |
|---|---|
| Over 3.5 goals | 45.3% |
| Columbus Crew score first | 57.7% |
| New York RB score first | 38.2% |
| Columbus Crew clean sheet | 26.9% |
| New York RB clean sheet | 12.3% |
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/420510215 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Columbus Crew are favourites. They win 54.8% of our 100,000 simulations, against 22.5% for the draw and 22.7% for New York RB. Including the draw, Columbus Crew avoid defeat 77.3% of the time.
1-1, which came up in 9.8% of simulations. Next are 2-1 (9.3%) and 2-0 (7.1%). The likeliest Columbus Crew win is 2-1 (9.3%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 65.1% of simulations. Columbus Crew keep a clean sheet 26.9% of the time and New York RB 12.3%.
The simulations average 3.46 goals: 2.13 for Columbus Crew and 1.33 for New York RB. Over 1.5 goals lands 86.5% of the time, over 2.5 goals 66.8% and over 3.5 goals 45.3%.
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.