MOL 1-0 KAZ · 47% SER 0-1 GER · 58% NET 2-1 GRE · 50% SLO 2-0 FAR · 60% BUL 0-1 ICE · 55% LIE 0-1 AZE · 52% LUX 0-1 EST · 47% AND 0-0 GIB · 39% SLO 0-1 SWI · 56% SCO 2-0 FYR · 64% SAL 0-3 CEL · 69% INT 1-2 SAN · 50% KOS 1-0 ISR · 50% NOR 2-1 WAL · 54% MOL 1-0 KAZ · 47% SER 0-1 GER · 58% NET 2-1 GRE · 50% SLO 2-0 FAR · 60% BUL 0-1 ICE · 55% LIE 0-1 AZE · 52% LUX 0-1 EST · 47% AND 0-0 GIB · 39% SLO 0-1 SWI · 56% SCO 2-0 FYR · 64% SAL 0-3 CEL · 69% INT 1-2 SAN · 50% KOS 1-0 ISR · 50% NOR 2-1 WAL · 54%
Major League Soccer · Round of 16 PayPal Park Not Started

San Jose Earthquakes
vs
Houston Dynamo.

Quick answer

Who will win San Jose Earthquakes vs Houston Dynamo?

8 of 10 AI models pick San Jose Earthquakes to win (80%). The mean predicted score is 1–0 at 46% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → San Jose Earthquakes form Houston Dynamo form

10 AI models read this match. The plurality on 1X2 leans toward San Jose Earthquakes (8 of 10 models). The mean predicted score (rounded from all models) is 1–0 at 46% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Major League Soccer table Where San Jose Earthquakes and Houston Dynamo stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

San Jose Earthquakes win 80%

8 / 10 models

Draw 20%

2 / 10 models

Houston Dynamo win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6.1 Sol
San Jose Earthquakes win
1–0
40%
San Jose’s home advantage and stronger season scoring support a narrow win, while Houston’s 13 clean sheets and ten scoreless games suggest a restrained contest. Recent meetings also favor San Jose, though the teams are closely matched.
02
Claude Opus 5.5
San Jose Earthquakes win
1–0
37%
Houston is defensively solid (13 clean sheets) but scores little (failed to score 10 times). San Jose has home advantage at PayPal Park and won the latest H2H 1-0. Expect a tight, low-scoring game.
03
Gemini 4 Argon
San Jose Earthquakes win
1–0
48%
Recent meetings between these sides have been tight and low-scoring. San Jose's home advantage and Judd's form should edge Houston's sturdy defense.
04
Grok 4.7
San Jose Earthquakes win
1–0
54%
Playoff home edge at PayPal Park and a recent 1-0 over Houston. Dynamo's 13 clean sheets and low scoring point to a tight 1-0 rather than an open game.
05
DeepSeek V4 Pro
Draw
1–1
31%
Both sides similar records on fringes of playoffs; head-to-head often tight with two draws and three one-goal games in last five. Playoff knockout at PayPal Park suggests cautious tempo, so 1-1 fits.
06
Tencent Hy4
Draw
1–1
48%
Recent H2H is tight (1-0, 0-0, 2-1) and both sides have similar records; Houston's 13 clean sheets but 10 scoreless games point to a low, balanced contest at PayPal Park.
07
Meta Muse Spark 1.3
San Jose Earthquakes win
1–0
47%
San Jose unbeaten in four H2H including 1-0 at PayPal in September; Houston blanked 10 times despite Guilherme form, suiting tight playoff.
08
NVIDIA Nemotron 3 Ultra
San Jose Earthquakes win
2–1
58%
San Jose's superior attack (57 goals vs 43) and home knockout win over Houston in September outweigh Houston's better defense; both sides score late often.
09
GLM 5.3
San Jose Earthquakes win
1–0
52%
Similar records, but San Jose at PayPal Park won recent H2H meetings 1-0 and 2-1; Houston's 10 scoreless games and 13 clean sheets point to a tight, low-scoring home win.
10
MiMo V2.6 Pro
San Jose Earthquakes win
1–0
42%
San Jose's home edge and Judd's scoring threat face a Houston side that's blanked often (10 times) and scoreless in two straight H2H visits; a tight, low-scoring home win fits both forms.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 1–0. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 1–0
    7 models
  • 1–1
    2 models
  • 2–1
    1 model
Team news

Predicted lineups: San Jose Earthquakes vs Houston Dynamo

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

San Jose Earthquakes

3-4-2-1 · XI v Minnesota United FC, 8 Nov
B. Arena
19 P. Judd
19 Judd
11 T. Werner
11 Werner
7 O. Bouda
7 Bouda
2 J. Ricketts
2 Ricketts
23 E. Löwen
23 Löwen
14 R. Vieira
14 Vieira
10 N. Tsakiris
10 Tsakiris
18 R. Roberts
18 Roberts
28 B. Kikanovic
28 Kikanovic
5 D. Munie
5 Munie
1 A. Gunn
1 Gunn

Houston Dynamo

5-3-2 · XI v St. Louis City, 8 Nov
Ben Olsen
20 Guilherme
20 Guilherme
9 L. Foster
9 Foster
19 M. Bogusz
19 Bogusz
6 Artur
6 Artur
30 A. Bouzat
30 Bouzat
21 F. Negri
21 Negri
5 Lucas Halter
5 Halter
34 A. Resch
34 Resch
36 Felipe Andrade
36 Andrade
11 L. Ennali
11 Ennali
31 J. Bond
31 Bond

Season data

Major League Soccer numbers for both sides, when they score and the players who carry them.

San Jose Earthquakes

4-2-3-1
W-D-L
14-10-10
Goals
57-51
Clean sheets
7
Failed to score
5
Best win run
6
Penalties
4/7
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Houston Dynamo

4-2-3-1
W-D-L
14-9-11
Goals
43-43
Clean sheets
13
Failed to score
10
Best win run
5
Penalties
3/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · San Jose Earthquakes

  • P. Judd 17 G · 2 A · 31 apps
  • N. Tsakiris 3 G · 9 A · 23 apps

Key players · Houston Dynamo

  • Guilherme 16 G · 8 A · 31 apps

Top scorers · Major League Soccer

  1. 1 L. Messi Inter Miami 26
  2. 2 P. Musa FC Dallas 22
  3. 3 S. Surridge Nashville SC 21
  4. 4 B. White Vancouver Whitecaps 20
  5. 5 Rafael Navarro St. Louis City 19
Venue PayPal Park
New at San Jose Earthquakes E. Löwen (St. Louis City), L. Jovanović (Adelaide United), A. Gunn (Nottingham Forest)
New at Houston Dynamo L. Foster (Burnley), M. Saracchi (Boca Juniors), D. McGuire (Orlando City SC)
— Aggregated insights

What’s moving the panel.

01
Consensus favors San Jose Earthquakes

80% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 46% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.10 vs 0.30

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric San Jose Earthquakes Houston Dynamo Expected total Lean
Corners 5.7 4.4 10.1 Under 10.5 58% Ask AI
Yellow cards 2.0 1.6 3.6 Under 3.5 51% Ask AI
Shots 14.2 11.2 25.5 Under 25.5 52% Ask AI
Shots on target 5.4 3.9 9.2 Under 9.5 56% Ask AI

Sample: 4 matches per side. Over the last 90 days the corners lean hit 55% of 461 graded matches, cards 57% of 462. Probabilities are Poisson estimates for information only.

— Match context

Form, history, team news.

San Jose Earthquakes
#4 · 52 PTS · GD +6
Last 5
L W D L D
6 GF · 10 GA
Recent fixtures
  • Minnesota United FC 3-1 L
  • Real Salt Lake 2-1 W
  • Colorado Rapids 2-2 D
  • FC Dallas 3-0 L
  • Nashville SC 1-1 D
Team news
E. Edwards — Lower-Body Injury E. Mendoza — Lower-Body Injury T. Werner — Inactive D. Jones — Achilles Tendon Injury Vitor Costa — Lower-Body Injury N. Tsakiris — Injury N. Adimabua — Lower-Body Injury J. A. Gonzalez Mendoza — Lower-Body Injury R. Roberts — Yellow Cards R. Vieira — Lower-Body Injury D. Johnson — Lower-Body Injury B. Kikanovic — Yellow Cards
Houston Dynamo
#5 · 51 PTS · GD 0
Last 5
L L W D D
4 GF · 6 GA
Recent fixtures
  • St. Louis City 0-1 L
  • Portland Timbers 3-1 L
  • Seattle Sounders 0-1 W
  • Minnesota United FC 0-0 D
  • FC Dallas 2-2 D
Team news
Artur — Knee Injury R. Miller — Lower-Body Injury N. Quinones — Lower-Body Injury Felipe Andrade — Thigh Injury Antonio Carlos — Red Card A. Bouzat — Red Card Lucas Halter — Lower-Body Injury N. Markanich — Red Card E. Sviatchenko — Red Card J. McGlynn — Lower-Body Injury O. Lingr — Red Card J. Maurer — Concussion
— Head to head

Last five meetings.

SAN 1 · D 0 · HOU 0

SAN VS HOU
1-0
HOME WIN
Sep 13, 2026

Confidence trend

Cumulative average confidence in table order.

First model Last model

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 80% of models side with San Jose Earthquakes, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — tight Major League Soccer games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

San Jose Earthquakes
~80%
implied lean
Draw
~20%
implied lean
Houston Dynamo
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.40 goals in expectation. A notional totals line near 1.7 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When San Jose Earthquakes is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 1.40 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: San Jose Earthquakes win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on San Jose Earthquakes vs Houston Dynamo in Major League Soccer? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (1 - 0; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is San Jose Earthquakes win, with vote shares roughly 80% / 20% / 0% home, draw, and away (rounded).

If you are asking who will win San Jose Earthquakes vs Houston Dynamo, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.