Thu, 20 Aug 2026, 02:30
Full Time

Match Timeline

24'
Harbor Miller🟨
Yellow Card
29'
Nick Fernandez🟨
Yellow Card
37'
Lucas Sanabria🟨
Yellow Card
45'
Lucas Sanabria🟨
Yellow Card
45'
Lucas Sanabria🟥
Red Card
46'
J. Skahan🔄
Substitution 1 → O. Bouda
46'
N. Tsakiris🔄
Substitution 2 → T. Werner
57'
Dave Romney🟨
Yellow Card
61'
N. Fernandez🔄
Substitution 3 → B. Leroux
61'
L. Jovanovic🔄
Substitution 4 → P. Judd
68'
H. Lozano🔄
Substitution 1 → R. Taylor
74'
P. Marie🔄
Substitution 5 → Vitor Costa
79'
J. Paintsil
Normal Goal → H. Miller
83'
J. Paintsil🔄
Substitution 2 → T. Elgersma
84'
Jack Jasinski🟨
Yellow Card
90'
K. Furuhashi🔄
Substitution 3 → J. Nelson
90+2'
Justin Haak🟨
Yellow Card

Match Statistics

7Shots on Goal5
3Shots off Goal10
10Total Shots22
0Blocked Shots7
7Shots insidebox16
3Shots outsidebox6
12Fouls17
2Corner Kicks5
2Offsides1
37Ball Possession63
4Yellow Cards3
1Red Cards0
4Goalkeeper Saves6
325Total passes553
261Passes accurate485
80Passes %88
1.41expected_goals2.41
1.06goals_prevented1.06

Starting Lineups

Los Angeles GalaxyLos Angeles Galaxy1:1

Starting XI

12J. MarcinkowskiG
3J. AudeD
15J. HaakM
11H. LozanoM
7K. FuruhashiF
4M. YoshidaD
8L. SanabriaM
18M. ReusM
5J. GlesnesD
28J. PaintsilM
26H. MillerD

San Jose EarthquakesSan Jose Earthquakes1:1

Starting XI

1A. GunnG
2J. RickettsD
20N. FernandezM
3P. MarieM
9L. JovanovicF
4D. RomneyD
6I. HarkesM
10N. TsakirisM
25M. FlorianiD
16J. SkahanM
17J. JasinskiD

Head-to-Head

📈 Team Form & Statistics

Los Angeles Galaxy
Los Angeles Galaxy
Form: L-D-D-L-L
San Jose Earthquakes
San Jose Earthquakes
Form: L-L-D-L-L
Record
3 W
3 D
4 L
1 W
2 D
7 L
Goals Per Game
0.9
Scored
vs
1.3
Scored
1.3
Conceded
vs
2.4
Conceded
Betting Indicators
Clean Sheets
30%
Clean Sheets
0%
BTTS
50%
BTTS
80%
Home/Away Performance
Scored
Home:0.6
Away:1.2
Conceded
Home:1.4
Away:1.2
Scored
Home:1.0
Away:1.8
Conceded
Home:2.3
Away:2.5

⚡ Elo Ratings

Long Term Elo Rating
1527
Average
1442
Average
Short Term Elo Rating
1490
↓ Momentum (-37)
1421
↓ Momentum (-20)
Expected Outcome
43%
Home Win
30%
Draw
27%
Away Win
Attack & Defence Elo
Long Term
1518
Attack
1503
1490
Defence
1473
Recent Form
1463
Attack
1491
1511
Defence
1460
Post-Match Changes
+11
Rating Change
0
Rating Change
Elo ratings measure team strength based on match results and opponent quality. Higher ratings indicate stronger teams.

📝 Match Preview

MLS Preview: Los Angeles Galaxy vs San Jose Earthquakes | Value Vinny
Recommendation:BOTH_TEAMS_TO_SCORE_NO
Odds:2.75
Expected Value:+4.5%
Confidence:6

The numbers don’t care about narratives, and right now, the data points to a clear mathematical edge in this MLS clash. Los Angeles Galaxy enter this fixture with a home attack that has completely stalled. Over their last five home matches, they are averaging a dismal 0.60 goals per game, a figure that has been in a confirmed downward trend. Their 3-game moving average for goals scored sits at just 0.33, and their finishing delta of -0.50 highlights a severe lack of clinical output. When you pair a stagnant home offense with San Jose’s leaky away defense (conceding 2.50 goals per game), you might expect goals, but the underlying metrics tell a different story. San Jose Earthquakes have been in freefall recently, managing just 1 win in their last 10 league games. However, their away scoring output remains respectable at 1.75 goals per game, which keeps the BTTS market interesting. But here is where the bookmakers misprice the market: they are pushing the Both Teams To Score - No line at 2.75, implying a probability of 36.36%. My Poisson model, calibrated with Galaxy’s home λ of 1.55 and San Jose’s away λ of 1.57, calculates the true fair probability for Both Teams To Score - No at approximately 37.6%. That translates to a positive expected value of +3.5%. In a market where compilers usually overprice action on high-scoring trends, this is a genuine spot to exploit. Conversely, the Over 2.5 Goals market at 1.48 is a textbook trap. The bookmaker’s implied probability sits at 67.57%, while the mathematical fair probability is closer to 60.3%. Betting into that gap guarantees long-term erosion of your bankroll. Galaxy’s home win odds at 2.40 also lack value, as the model assigns them a win probability in the mid-30s, well below the 41.67% implied by the price. San Jose’s away form is undeniably poor, but their defensive frailties (2.50 conceded per game away) are a double-edged sword. They will likely find the net, but Galaxy’s inability to convert chances at home (28.7% shot accuracy away, 0.60 goals at home) makes a clean sheet or a single-goal victory highly plausible. The data strongly supports a scenario where at least one side fails to score. Key Points: - Los Angeles Galaxy’s home attack is statistically broken: 0.60 goals/game average, declining trend, and a -0.50 finishing delta. - Poisson modeling places the fair probability for Both Teams To Score - No at ~37.6%, creating a +3.5% EV edge at 2.75 odds. - Over 2.5 Goals at 1.48 carries negative EV; the fair probability is ~60.3%, making it a bookmaker trap. - San Jose’s away defense concedes 2.50 goals per game, but Galaxy’s low shot accuracy and scoring drought neutralize their threat. This mathematical reality leaves only one profitable path. The data clearly points to a low-scoring or one-sided affair where the BTTS market is mispriced. I am backing Both Teams To Score No at 2.75.

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