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We simulated Columbus Crew vs Inter Miami 100,000 times. Inter Miami won 41,376 of them (41.4%), the draw came up 24.1% of the time and Columbus Crew won 34.5%. No single score is common: 1-1 is the likeliest at 10.5%, while the likeliest Inter Miami win is 1-2 (8.5%). Both teams score in 65.8% of simulations.
Full time 2-1. Before kick-off the simulations had Columbus Crew winning 34.5% and gave this exact score 7.7%.
| Columbus Crew win | 34.5% |
|---|---|
| Draw | 24.1% |
| Inter Miami win | 41.4% |
| Most likely score | 1-1 (10.5%) |
| Expected goals | 1.58 – 1.75 |
| Both teams to score | 65.8% |
| Over 1.5 goals | 84.9% |
| Over 2.5 goals | 64.4% |
|---|---|
| Over 3.5 goals | 42.7% |
| Columbus Crew score first | 45.8% |
| Inter Miami score first | 49.7% |
| Columbus Crew clean sheet | 17.8% |
| Inter Miami clean sheet | 20.9% |
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/420510216 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Inter Miami are favourites. They win 41.4% of our 100,000 simulations, against 24.1% for the draw and 34.5% for Columbus Crew. Including the draw, Inter Miami avoid defeat 65.5% of the time.
1-1, which came up in 10.5% of simulations. Next are 1-2 (8.5%) and 2-1 (7.7%). The likeliest Inter Miami win is 1-2 (8.5%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 65.8% of simulations. Columbus Crew keep a clean sheet 17.8% of the time and Inter Miami 20.9%.
The simulations average 3.33 goals: 1.58 for Columbus Crew and 1.75 for Inter Miami. Over 1.5 goals lands 84.9% of the time, over 2.5 goals 64.4% and over 3.5 goals 42.7%.
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.