Philadelphia Union vs Toronto FC — MLS forecast, Saturday, 7 November 2026

MLS·Saturday, 7 November 2026·21:00

vs

21:00

12th vs 21st

Toronto FC

Metis Forecast

Independent model — no market price

Model updated

Philadelphia Union

68%

Draw

20%

Toronto FC

13%

Expected goals

2.31–1.00

Philadelphia Union · Toronto FC

Philadelphia Union win 68% of the current Metis Forecast. Most likely scores: 2–0 (9.8%), 2–1 (9.8%), 1–1 (9.1%).More forecast detail +

Both teams score in 58% of simulations.

Those three cover 29% of outcomes; the other 71% is spread across every remaining scoreline.

Philadelphia Union score at least twice in 67%; Toronto FC in 26%.

Scoreline distribution

Match outcomes

Both teams score58%
Over 1.5 goals85%
Over 2.5 goals64%
Over 3.5 goals42%
Over 4.5 goals24%
Team scoring & clean sheets
Philadelphia Union clean sheet37%
Toronto FC clean sheet10%
Philadelphia Union score 2+67%
Toronto FC score 2+26%
Philadelphia Union score 3+41%
Toronto FC score 3+8%

Most likely scores

2–09.8%
2–19.8%
1–19.1%
1–07.8%
3–07.5%
3–17.5%

Market odds

MarketPinnacle
Philadelphia Union1.45
Draw5.13
Toronto FC5.85

Market reference: Pinnacle. Prices shown for context, not as a best-price comparison.

Reference prices, published with the 02 Nov · 05:06 UTC model run. They are not live and will have moved since.

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Philadelphia Union

22 FebAvs DC United0–1L
1 MarHvs New York City1–2L
8 MarHvs San Jose Earthquakes0–1L
14 MarAvs Atlanta Utd1–3L
21 MarHvs Chicago Fire1–2L

Toronto FC

22 FebAvs FC Dallas2–3L
1 MarAvs Vancouver Whitecaps0–3L
8 MarAvs FC Cincinnati1–0W
14 MarHvs New York Red Bulls1–1D
21 MarHvs Columbus Crew2–1W

Head to head

23 Apr 26Toronto FCvsPhiladelphia Union3 – 3

Philadelphia Union: 0W 1D 0L in last 1

Model context

StatPhiladelphia Union
(Home · 16 matches)
Toronto FC
(Away · 15 matches)
BTTS rate62.5%53.3%
Over 2.5 rate62.5%60.0%
Clean sheet31.2%26.7%
Avg goals2.882.73

Home stats use Philadelphia Union's home record; away stats use Toronto FC's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.