Foresportia Elo
1493MLS rank : 1st
San Jose Earthquakes
Foresportia analyses San Jose Earthquakes using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.53Lower = easier to readPoints volatility
0.80Standard deviation over 5 matchesRecent form
1.40Points per match over 5 matchesModel confidence
51.3%Average over 10 predictionsCurrent analysis: San Jose Earthquakes
San Jose Earthquakes have taken 7 points from a possible 15 across the last five recorded matches in MLS. The team have scored 8 goals and conceded 6.
MLS · 2026 · 30 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 2 | 2 | 1 | |
| 3 | 1 | 3 | |
| 1 | 1 | 1 | |
| 1 | 1 | 1 | |
| 1 | 1 | 1 |
1. How Foresportia evaluates San Jose Earthquakes
Summary of indicators actually available in Foresportia data.
2. Next match
FC DallasElo : 1583
San Jose EarthquakesElo : 1498
1X2 probabilities (Foresportia model)
FC Dallas 46%Draw 28%San Jose Earthquakes 26%
3. Prediction reliability for San Jose Earthquakes
Data updated on 19 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 1 |
| 2025-03 | Risk | Insufficient sample | 6 |
| 2025-04 | Risk | 70.0% | 10 |
| 2025-05 | Risk | 58.8% | 17 |
| 2025-06 | Risk | 55.0% | 20 |
| 2025-07 | Risk | 56.0% | 25 |
| 2025-08 | Risk | 55.2% | 29 |
| 2025-09 | Risk | 56.2% | 32 |
| 2025-10 | Risk | 55.9% | 34 |
| 2026-02 | Risk | 57.1% | 35 |
| 2026-03 | Risk | 57.9% | 38 |
| 2026-04 | Risk | 59.5% | 42 |
| 2026-05 | Risk | 55.3% | 47 |
| 2026-07 | Risk | 53.1% | 49 |
| 2026-08 | Risk | 53.7% | 54 |
| 2026-09 | Risk | 50.0% | 58 |
| 2026-10 | Risk | 47.5% | 61 |
| 2025-02 | Correct and above | Insufficient sample | 0 |
| 2025-03 | Correct and above | Insufficient sample | 0 |
| 2025-04 | Correct and above | Insufficient sample | 0 |
| 2025-05 | Correct and above | Insufficient sample | 0 |
| 2025-06 | Correct and above | Insufficient sample | 0 |
| 2025-07 | Correct and above | Insufficient sample | 0 |
| 2025-08 | Correct and above | Insufficient sample | 0 |
| 2025-09 | Correct and above | Insufficient sample | 0 |
| 2025-10 | Correct and above | Insufficient sample | 0 |
| 2026-02 | Correct and above | Insufficient sample | 0 |
| 2026-03 | Correct and above | Insufficient sample | 1 |
| 2026-04 | Correct and above | Insufficient sample | 2 |
| 2026-05 | Correct and above | Insufficient sample | 2 |
| 2026-07 | Correct and above | Insufficient sample | 2 |
| 2026-08 | Correct and above | Insufficient sample | 2 |
| 2026-09 | Correct and above | Insufficient sample | 3 |
| 2026-10 | Correct and above | Insufficient sample | 3 |
| 2025-02 | Stable and above | Insufficient sample | 0 |
| 2025-03 | Stable and above | Insufficient sample | 0 |
| 2025-04 | Stable and above | Insufficient sample | 0 |
| 2025-05 | Stable and above | Insufficient sample | 0 |
| 2025-06 | Stable and above | Insufficient sample | 0 |
| 2025-07 | Stable and above | Insufficient sample | 0 |
| 2025-08 | Stable and above | Insufficient sample | 0 |
| 2025-09 | Stable and above | Insufficient sample | 0 |
| 2025-10 | Stable and above | Insufficient sample | 0 |
| 2026-02 | Stable and above | Insufficient sample | 0 |
| 2026-03 | Stable and above | Insufficient sample | 0 |
| 2026-04 | Stable and above | Insufficient sample | 0 |
| 2026-05 | Stable and above | Insufficient sample | 0 |
| 2026-07 | Stable and above | Insufficient sample | 0 |
| 2026-08 | Stable and above | Insufficient sample | 0 |
| 2026-09 | Stable and above | Insufficient sample | 0 |
| 2026-10 | Stable and above | Insufficient sample | 0 |
| 2025-02 | Ultra stable | Insufficient sample | 0 |
| 2025-03 | Ultra stable | Insufficient sample | 0 |
| 2025-04 | Ultra stable | Insufficient sample | 0 |
| 2025-05 | Ultra stable | Insufficient sample | 0 |
| 2025-06 | Ultra stable | Insufficient sample | 0 |
| 2025-07 | Ultra stable | Insufficient sample | 0 |
| 2025-08 | Ultra stable | Insufficient sample | 0 |
| 2025-09 | Ultra stable | Insufficient sample | 0 |
| 2025-10 | Ultra stable | Insufficient sample | 0 |
| 2026-02 | Ultra stable | Insufficient sample | 0 |
| 2026-03 | Ultra stable | Insufficient sample | 0 |
| 2026-04 | Ultra stable | Insufficient sample | 0 |
| 2026-05 | Ultra stable | Insufficient sample | 0 |
| 2026-07 | Ultra stable | Insufficient sample | 0 |
| 2026-08 | Ultra stable | Insufficient sample | 0 |
| 2026-09 | Ultra stable | Insufficient sample | 0 |
| 2026-10 | Ultra stable | Insufficient sample | 0 |
4. Predictive profile for San Jose Earthquakes
ContextObserved measureReading
Home performance1.34 pts/matchComparable return
Away performance1.44 pts/matchComparable return
5. Statistical markers for San Jose Earthquakes
Team values from Foresportia sources, without a reconstructed league average.
History: 64 verified matches
6. Market signals for San Jose Earthquakes
MarketAverage probabilityReliabilityVolumeReading
Both teams to scoreNot available%80.8%26Major, well-documented signal
Over 2.5Not available%55.6%27Success above the average probability
Double chance 1XNot available%58.6%29Success above the average probability
Double chance X2Not available%66.7%27Success above the average probability
Double chance 12Not available%71.0%31Success above the average probability
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
San Jose Earthquakes
Average model confidenceShows how the model’s average certainty changes across matches.
San Jose Earthquakes
xG differential trendCompares expected goals created and conceded to track the balance of chances.
PositiveNegative
Model calibrationCompares published probabilities with the rates actually observed.
Observed ratePerfect
League-position trendTracks the team’s league position throughout the season.
San Jose Earthquakes
Goals scored / concededCompares goals scored and conceded using a five-match rolling average.
Goals scored / match (5)Goals conceded / match (5)
Points per matchTracks points earned per match using a five-match rolling average.
San Jose Earthquakes
8. Foresportia analysis
For Foresportia, San Jose Earthquakes still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
San Jose Earthquakes still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is FC Dallas vs San Jose Earthquakes on . The leading 1X2 read currently points to “Home win” around 46%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. San Jose Earthquakes FAQ
What is the next match for San Jose Earthquakes on Foresportia?
This page shows San Jose Earthquakes's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read San Jose Earthquakes's ranking and Elo?
This page includes dedicated charts for San Jose Earthquakes's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for San Jose Earthquakes?
It highlights the markets that performed best in the available history for San Jose Earthquakes, together with sample size, hit rate and average probability.
San Jose Earthquakes: AI analysis, predictions and Foresportia signals
For Foresportia, San Jose Earthquakes still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
San Jose Earthquakes still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is FC Dallas vs San Jose Earthquakes on . The leading 1X2 read currently points to “Home win” around 46%.