Regular Season - 34 · 7 November 2026, 21:00 UTC

Philadelphia Union vs Toronto FC Major League Soccer prediction

Subaru Park, Philadelphia

Our model says: Philadelphia Union 2–1 Toronto FC

The model makes it 58% Philadelphia Union, 21% draw, 21% Toronto FC — fair odds of 1.72, 4.76 and 4.76. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.

Most likely scoreline: 2-1 (9%).

Expected goals: Philadelphia Union 2.44, Toronto FC 1.28.

Both teams to score: 66%. Over 2.5 goals: 72%, under 2.5: 28%.

Model confidence: High — calls at this level have come off 59% of the time, over 1,486 settled matches.

Edge to Philadelphia Union: the better side on the model's ratings, but not by much. In past matches rated this way the favourite won 54%, 26% were drawn and the underdog won 21%.

Published

Source: Fulltime Stats' own Dixon-Coles model, as of 24 October 2026. Philadelphia Union's rating is built from 67 MLS matches and Toronto FC's from 64, over this season and last, recent ones weighted most. Goal level and home advantage are this competition's own, measured over 1,513 matches.

Key facts

  • Philadelphia Union are 6th on 46 points from 30 games; Toronto FC are 10th on 36 points from 30 games — Major League Soccer, Eastern Conference.
  • Philadelphia Union are unbeaten in their last 5 games (4 won), most recently a 2-2 draw at home to Charlotte.
  • Toronto FC are unbeaten in 3 games, most recently a 2-0 win away to New York Red Bulls.
  • Last 6 meetings: Toronto FC 2 wins to 1, 3 draws; the most recent, 22 April 2026, ended Toronto FC 3–3 Philadelphia Union.

More MLS predictions

Live win probability

From kick-off

From kick-off, the split above updates here every few seconds as the model re-reads the score, the clock and any red cards.

Model insights: Philadelphia Union vs Toronto FC

66%
Both teams to score
72%
Over 2.5 goals
28%
Under 2.5 goals

Most likely scorelines

Philadelphia Union win Draw Toronto FC win
  1. 2–19%
  2. 1–18%
  3. 3–18%
  4. 2–07%
  5. 2–26%
  6. 3–06%
  7. 1–06%

Scores read Philadelphia Union first. Each bar is the model's probability of that exact result, drawn against the likeliest one; the other scorelines it considered share the remaining 50%.

Has the model earned this number?

It puts Philadelphia Union at 58% here. Across 4,534 settled matches (as of 24 October 2026), 1,113 forecasts have landed in the 50–65% band; those outcomes actually happened 56.3% of the time, against an average forecast of 55.5%. In this range the two line up, so the figure above can be read literally. The full record.

Form going into Philadelphia Union vs Toronto FC

Philadelphia Union

Major League Soccer

  • D2-2Charlotte17 October 2026
  • W3-1away to Chicago Fire15 October 2026
  • W2-1Real Salt Lake10 October 2026
  • W4-2Orlando City SC26 September 2026
  • W4-3away to Sporting Kansas City20 September 2026

Toronto FC

Major League Soccer

  • W2-0away to New York Red Bulls17 October 2026
  • D3-3Orlando City SC14 October 2026
  • W2-1CF Montreal10 October 2026
  • L0-2away to Nashville SC27 September 2026
  • L1-3away to St. Louis City20 September 2026

What these results say

Up to 5 matches before kick-off, most recent first. The model rates each side on its goals over this season and last, adjusted for the opposition, rather than on these results alone, so read them as context — how the ratings are built.

Major League Soccer table

#TeamPWDLGFGAGDPts
6Philadelphia Union30137106148+1346
10Toronto FC30812104655-936

Where the two sides stand. Full table

Head-to-head: Philadelphia Union vs Toronto FC

  • 22 April 2026Toronto FC 3–3 Philadelphia UnionMajor League Soccer
  • 9 August 2025Philadelphia Union 1–1 Toronto FCMajor League Soccer
  • 28 May 2025Toronto FC 1–2 Philadelphia UnionMajor League Soccer
  • 13 July 2024Toronto FC 2–1 Philadelphia UnionMajor League Soccer
  • 29 May 2024Philadelphia Union 0–0 Toronto FCMajor League Soccer
  • 30 August 2023Toronto FC 3–1 Philadelphia UnionMajor League Soccer

Leading scorers: Philadelphia Union and Toronto FC

Philadelphia Union

GoalsAssists

  • M. Iloski192

Toronto FC

No player in Major League Soccer's leading scorers — 46 league goals as a side.

Top 3 by league goals this season. Player availability is not part of the model — injuries and suspensions are a planned improvement.

The two sides

Philadelphia Union carry a model rating of 6.68 against 6.47 for Toronto FC. The scale is anchored so that an average side in one of Europe's big five leagues sits at 6.85, and it is adjusted for the strength of each team's league, so the two numbers are comparable even across borders.

The model expects goals

Under the hood the model expects 2.44 goals for Philadelphia Union and 1.28 for Toronto FC. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.

Philadelphia Union rate 0.92 in attack and 1.29 in defence, where 1 is league average and a lower defensive number is better; Toronto FC rate 0.68 and 1.45.

How this was produced

Publicly tracked record so far: 2,192 correct results out of 4,558 settled predictions (48%), with 452 exact scorelines (10%). That log is updated automatically after every match and is never edited.

Full method: how the model works.

Once the match starts, the win probabilities at the top update live from the score, the clock and any sendings-off.

Statistical estimate, not betting advice This prediction is generated from a statistical model for entertainment and informational purposes only. It does not guarantee any outcome and should not be used as the basis for placing a bet.

Team comparison

Bars show each side's share of the two-team total, based on the model's attack/defence ratings and expected goals for this fixture.

Why the model favours this side

The model gives Philadelphia Union the highest probability at 58%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 2.44 expected goals for Philadelphia Union against 1.28 for Toronto FC. Philadelphia Union's attack/defence rating is 0.92/1.29 versus the league average (1.00 = average), compared with 0.68/1.45 for Toronto FC.

How the model reaches 58% for Philadelphia Union to win

Start from two average sides on neutral ground: 37% for Philadelphia Union to win. Then home advantage adds 7 points, Philadelphia Union's ratings take away 9 points and Toronto FC's ratings add 23 points, which lands on the published 58%.

  1. Two average sides, neutral ground37%
  2. Home advantage44%+7
  3. Philadelphia Union's ratings35%−9
  4. Toronto FC's ratings58%+23

Each step adds one input to the step before. In another order the steps would differ in size; the end point would not.

Season stats

Philadelphia UnionToronto FC
29Matches29
13W 6D 10LRecord7W 12D 10L
59 2.0 per gameGoals scored44 1.5 per game
46 1.6 per gameGoals conceded55 1.9 per game
6 of 29Clean sheets3 of 29
5 of 29Failed to score5 of 29
6 of 7Penalties scored–
70 2.4 per gameYellow cards53 1.8 per game
4Red cards3
4-4-2 28×Usual shape4-2-3-1 13×

Philadelphia Union at home · Toronto FC away

14Played13
7W 4D 3LRecord2W 3D 8L
25–14Goals for – against10–23
5 of 14Clean sheets3 of 13

League matches only, Major League Soccer, this season. Rates are per game, since the two sides have not always played the same number; the tinted figure is the better one, where better is not a matter of taste. Source: API-Football season statistics, refreshed after each league match.

Goals scored and conceded, by minute

All Major League Soccer matches this season: Philadelphia Union 29, Toronto FC 29.

Philadelphia Union scored 549131610
Toronto FC conceded 671010715

Philadelphia Union score most often in the 61–75 minute window (16 goals); Toronto FC have let in 7 there.

Toronto FC scored 4367816
Philadelphia Union conceded 61284711

Toronto FC score most often in the 76–90 minute window (16 goals); Philadelphia Union have let in 11 there.

Each cell counts the league goals that went in during that 15-minute window. Each side's goals sit above the goals its opponent has let in over the same minutes; the darker the cell, the more goals in that window. Stoppage time counts in the last window of its half. Source: API-Football season statistics, refreshed after each league match; own goals are not always counted on the same side as in the table, so a row can be a goal off it. Context, not a prediction.