Major League Soccer (MLS), round 32 · Thursday, 29 October, MSK

Toronto FC — DC United

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Model prediction for 29 October

Toronto FC40%
Draw30%
DC United30%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Toronto FC are slightly stronger: 40% against 30%, draw 30%.

The model expects few goals: 2.6 in total, against a competition average of 3.3.

Over 2.5 goals — 49%, both teams to score — 56%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Toronto FC — DC United What is xG?1.4–1.2
Toronto FC not to lose70%
DC United not to lose60%
No draw70%
Both teams to score: yes56%
Both teams to score: no44%
Total over 2.549%
Total under 2.551%

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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.

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  • Handicap Toronto FC
  • Toronto FC goals
  • DC United goals
  • Corners and cards
  • Full score grid
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Form

Toronto FC

  • 10.10CF Montréal2:1
  • 27.09away · Nashville SC0:2
  • 20.09away · St. Louis City1:3
  • 13.09away · Orlando City0:3
  • 10.09Nashville SC2:1

DC United

  • 11.10away · Inter Miami CF0:4
  • 27.09away · Vancouver Whitecaps3:3
  • 20.09Charlotte FC1:2
  • 13.09Atlanta United0:0
  • 10.09Columbus Crew2:1

Head to head

  • 26.07.2026DC United — Toronto FC2:1
  • 10.05.2025Toronto FC — DC United2:0
  • 23.02.2025DC United — Toronto FC2:2
  • 01.09.2024Toronto FC — DC United1:3
  • 02.06.2024DC United — Toronto FC2:2

Full record: 7 meetings →

Table

Table «Overall», season 2026
#TeamPWDLGoals+/−Pts
22Real Salt Lake28951441–46-532
23Toronto FC287111041–52-1132
24Austin FC287101136–51-1531
25Minnesota United28791242–51-930
26DC United27612934–46-1230
27Columbus Crew28851541–46-529

Season 2026

Full table

MLS on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 40% will not happen in roughly 60 matches out of 100. How to read probabilities →