San Diego vs San Jose Earthquakes preview by Jonesy for TerraceBet
MLS · Regular Season - 24 FT · San Diego 2-3 San Jose Earthquakes Snapdragon Stadium
Full Time San Diego 23 San Jose Earthquakes San Jose Earthquakes won

San Diego vs San Jose Earthquakes: Both teams to score - Yes

San Diego enter this clash with a 2.5‑goal expected output, while San Jose sit at 1.8. The model rates a 76.5% chance both sides will find the net.

Jonesy's Take
1
Headline Pick
Both teams to score - Yes Won
Strong · High BTTS probability
2
Both Teams to Score
BTTS — Yes Won
76.5% model probability
3
Total Goals
Over 2.5 Goals Won
80.1% model probability

Both clubs come into the fixture on opposite trajectories – San Diego have won three of their last five, whereas San Jose have failed to win in five straight. The contrast in recent form sets up a clear test of San Diego’s attacking edge against a struggling Earthquakes side.

Jonesy's Verdict

Strong
Both teams to score - Yes Won Strong lean Strong · High BTTS probability

The high BTTS probability, combined with San Diego’s 2.5 xG and San Jose’s 1.8 xG, makes a goal from each side the most likely outcome.

Show the maths
The model’s BTTS probability of 76.5% comes from comparing each team’s expected goals: San Diego’s 2.5 and San Jose’s 1.8 both exceed the 1.0 threshold that historically predicts both sides scoring. Adding the identical goals‑against average of 1.3 reinforces the view that neither defense is markedly superior, so each side should find the net. This statistical gap translates directly into the model’s high confidence in both teams scoring.
Pick 2 · Both Teams to Score
Both Teams to Score — Yes Won 76.5% model probability

With San Diego averaging 2.5 expected goals and San Jose Earthquakes averaging 1.8, the model gives a 76.5% chance both teams find the net, ahead of the 23.5% it gives to at least one side being kept out.

Show the maths
BTTS probability is derived from each side's expected goals (San Diego 2.5, San Jose Earthquakes 1.8) run through the same Poisson goal-expectancy model used for the match result: 76.5% of simulated outcomes have both teams scoring at least once, versus 23.5% where at least one side is shut out.
Pick 3 · Total Goals
Over 2.5 Goals Won 80.1% model probability

Combined expected goals of 4.3 (San Diego 2.5 + San Jose Earthquakes 1.8) points to an open game, with the model giving Over 2.5 Goals a 80.1% chance against 19.9% for Under.

Show the maths
Total goals probability comes from the same Poisson model summing both teams' expected goals (San Diego 2.5 + San Jose Earthquakes 1.8 = 4.3 combined): 80.1% of simulated outcomes finish with 3 or more goals, versus 19.9% finishing with 2 or fewer.
Match Result Model

Our Poisson model, built from each side's real season scoring and conceding rates, has San Diego at 53.3%, the draw at 18.9%, and San Jose Earthquakes at 27.7% to win.

Most Likely Scoreline

The single most likely scoreline in our model is 2-1 at 7.6% — treat any single scoreline price with caution given how spread out the probability distribution is across a low-scoring match.

The Numbers Behind the Headline

San Diego expected goals
2.5
San Jose Earthquakes expected goals
1.8
Model BTTS probability
76.5%

Most likely scorelines

12-1
7.6%
22-2
6.9%
33-1
6.4%

Model probabilities are derived from each team's real season goals-for and goals-against averages via a Poisson goal-expectancy model — not a fixed set of narrative numbers.

Form Guide — Last 5

San Diego

DWLWW

San Diego’s recent run includes a 3‑0 win over Colorado Rapids at home and a 3‑1 victory against LA Galaxy, both showing their ability to score multiple goals. The earlier 1‑3 loss to Portland Timbers demonstrates they can also concede, but the two dominant home wins underline a strong attacking form that supports a BTTS outcome.

San Jose Earthquakes

LLLLD

San Jose have not won in five games, highlighted by a 0‑1 loss at LA Galaxy and a 0‑0 draw with Houston Dynamo away. The 2‑4 defeat at FC Cincinnati shows they can score, though they also concede heavily, indicating vulnerability that makes conceding to San Diego plausible while still finding a goal themselves.

Head-to-Head

In the last four meetings, each side has recorded two wins – most recently San Jose’s 3‑0 win on 5 Apr 2026 and San Diego’s 2‑0 win on 24 Jan 2026 – underscoring that both teams are capable of scoring against each other, which aligns with the BTTS pick.

DateResultCompetition
5 Apr 2026San Jose Earthquakes 3-0 San DiegoMajor League Soccer
24 Jan 2026San Diego 2-0 San Jose EarthquakesFriendlies Clubs
28 Sep 2025San Diego 0-1 San Jose EarthquakesMajor League Soccer
17 Aug 2025San Jose Earthquakes 1-2 San DiegoMajor League Soccer

Team News (Pregame)

San Diego: M. Ingvartsen (Injury), J. Tverskov (Red Card), M. Alstrup (Lower-Body Injury), K. Sargeant (Lower-Body Injury)

San Jose Earthquakes: N. Adimabua (Lower-Body Injury), E. Edwards (Lower-Body Injury), D. Johnson (Lower-Body Injury), D. Jones (Achilles Tendon Injury)

Injury records reflect the team news on file heading into this match.

Frequently Asked Questions

Who won San Diego vs San Jose Earthquakes?

San Jose Earthquakes won 3-2. Our pre-match pick was Both teams to score - Yes.

What was the final score of San Diego vs San Jose Earthquakes?

San Diego 2-3 San Jose Earthquakes (full time).

When was San Diego vs San Jose Earthquakes?

San Diego played San Jose Earthquakes on Thu 10 Sep · 03:30 BST in the MLS at Snapdragon Stadium.

More MLS This Week

See all MLS fixtures →

With both teams averaging more than one goal per match and the model assigning a 76.5% probability to both sides scoring, the BTTS market emerges as the strongest single read.

Predictions and model probabilities are for information and entertainment only and are not betting advice — always do your own research. BeGambleAware.org

Jonesy, North America Writer at TerraceBet
Written by Jonesy
North America Writer, TerraceBet — MLS, Canadian Premier League & Liga MX
Priya, Fact-Checking Editor at TerraceBet
Fact-checked by Priya
Fact-Checking Editor, TerraceBet — every stat and claim verified against the underlying data