San Diego vs CF Montreal Prediction, Odds & Statistics

Our Poisson-based model projects 2.36 expected goals for San Diego and 1.28 for CF Montreal, a combined total of 3.63. That distribution gives San Diego the largest share of the 1X2 market at 61%, with the draw at 19%. Goals markets follow the same shape: 70% for over 2.5 goals and 65% for both teams to score, with 2–1 the single most likely scoreline at 9%. Probabilities are statistical estimates and carry meaningful uncertainty — a 61% favourite still loses or draws a large share of the time.

This match has finished. The figures below are the model's estimate for the fixture, kept on the page for reference and study — they are not a betting tip, and nothing here has been edited after the final whistle.

Model pick

San Diego win

61.4% probability

Moderate confidenceLow data42/100

Expected goals

2.36 – 1.28

Model version

poisson-v2

Cold start: only league-table or short-form data was available for these teams.

Probabilities are statistical estimates, not guarantees.

Why the model likes this

Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.

San Diego home form
7 points from their last 5 home matches in our dataset.
Most likely outcome
The model rates San Diego to win the strongest 1X2 selection at 61%, against 61% / 19% / 20% for home, draw and away.
Expected goals balance
Projected 2.36 goals for San Diego and 1.28 for CF Montreal, a combined 3.63 — an open game on paper.
Goals markets
Over 2.5 goals lands at 70% and both teams to score at 65%, with 2–1 the single most likely scoreline at 9%.

Match result (1X2)

San Diego win61%

Draw19%

CF Montreal win20%

Double chance 1X

80%

Double chance 12

81%

Double chance X2

39%

Goals markets

Over 1.5 goals88%

Over 2.5 goals70%

Over 3.5 goals49%

Both teams to score65%

Correct score

2–19.4%
1–17.9%
3–17.4%
2–07.3%
1–06.2%

Recent form

San Diego

2026-10-18T02:30:00.000Z · A vs Los Angeles Galaxy · 2-2 (D)
2026-10-15T02:30:00.000Z · H vs Houston Dynamo · 3-3 (D)
2026-10-10T23:30:00.000Z · A vs New York Red Bulls · 1-4 (L)
2026-09-27T00:30:00.000Z · A vs Austin · 3-3 (D)
2026-09-20T23:00:00.000Z · A vs Inter Miami · 2-2 (D)

CF Montreal

2026-10-24T17:30:00.000Z · H vs Nashville SC · 0-2 (L)
2026-10-21T23:00:00.000Z · H vs Forge · 1-1 (D)
2026-10-18T02:30:00.000Z · A vs Seattle Sounders · 1-1 (D)
2026-10-14T23:30:00.000Z · H vs Atlanta United FC · 0-3 (L)
2026-10-10T17:00:00.000Z · A vs Toronto FC · 1-2 (L)

Head-to-head

Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.

Major League Soccer table

Full league page →

#	Team	P	W	D	L	GD	Pts
1	Vancouver Whitecaps	31	16	7	8	31	55
2	FC Dallas	31	15	9	7	11	54
3	St. Louis City	31	14	9	8	12	51
4	San Jose Earthquakes	31	13	9	9	7	48
5	Houston Dynamo	31	13	9	9	2	48
6	Los Angeles FC	31	12	10	9	15	46
7	Seattle Sounders	31	11	10	10	2	43
8	Colorado Rapids	31	12	6	13	1	42
9	Los Angeles Galaxy	31	10	10	11	-9	40
10	Real Salt Lake	31	11	6	14	0	39
11	Portland Timbers	31	10	7	14	-4	37
12	San Diego	31	8	11	12	-3	35
13	Minnesota United FC	31	8	11	12	-8	35
14	Austin	31	8	10	13	-17	34
15	Sporting Kansas City	31	6	4	21	-40	22
1	Nashville SC	31	21	7	3	43	70
2	New England Revolution	31	17	4	10	9	55
3	Inter Miami	31	15	10	6	20	55
4	Chicago Fire	31	15	6	10	9	51
5	Charlotte	31	13	8	10	7	47
6	Philadelphia Union	31	13	7	11	12	46
7	Orlando City SC	31	12	6	13	-12	42
8	FC Cincinnati	31	11	9	11	-7	42
9	New York Red Bulls	31	11	6	14	-15	39
10	Columbus Crew	31	11	5	15	1	38
11	Toronto FC	31	8	12	11	-11	36
12	New York City FC	31	8	11	12	2	35
13	DC United	31	7	12	12	-17	33
14	Atlanta United FC	31	8	6	17	-15	30
15	CF Montreal	31	6	7	18	-26	25

Prediction conclusion

The model's leading selection is San Diego win, at 61.4%. Its single most likely scoreline is 2–1.

It puts both teams scoring at 65% and over 2.5 goals at 70%.

A 61% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.

Methodology Results Log

Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.