JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62% JUV 2-0 REN · 59% ARA 1-2 AZA · 54% DIN 1-0 NEC · 55% FER 2-0 TOR · 64% LEC 1-1 SUN · 48% OFI 0-2 BAY · 62% UNI 2-0 HAP · 56% STU 0-1 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% INT 0-1 UNI · 52% FKJ 0-2 BRI · 59% KAU 0-2 BRA · 62%
Major League Soccer · Regular Season - 23 Oct 10, 2026 · 23:30 · UTC Sports Illustrated Stadium, Harrison Match Finished · 90'

New York Red Bulls
vs
San Diego.

Quick answer

Who will win New York Red Bulls vs San Diego?

Final score: New York Red Bulls 4–1 San Diego. Before kickoff, 10 of 10 AI models pick New York Red Bulls to win (100%); the consensus was right. The AI predicted score was 2–1.

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

Head-to-head history → New York Red Bulls form San Diego form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (568 matches).

10 AI models read this match. The plurality on 1X2 leans toward New York Red Bulls (10 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 43% mean confidence (Low 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 New York Red Bulls and San Diego stand right now
— Consensus

Where the panel lands.

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

New York Red Bulls win 100%

10 / 10 models

Draw 0%

0 / 10 models

San Diego 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-5.6 Luna
New York Red Bulls win
2–1
51%
New York Red Bulls receive a meaningful home advantage at Sports Illustrated Stadium, but the absent form and head-to-head data make this a closely balanced MLS matchup; a narrow, moderate-scoring home win is the best estimate.
02
Claude Sonnet 5
New York Red Bulls win
2–1
48%
Late-season MLS fixture; Red Bulls hold home edge at Sports Illustrated Stadium, but San Diego as an expansion side has shown solid away scoring punch.
03
Gemini 3.8 Flash
New York Red Bulls win
2–0
56%
New York Red Bulls' high-pressing system and home advantage should stifle San Diego's build-up in Harrison, securing a controlled, clean-sheet victory.
04
Grok 4.6
New York Red Bulls win
1–0
42%
No H2H or form given. Red Bulls’ high-press home games in Harrison often stay tight; MLS home edge supports a narrow 1-0 more than a draw or shootout.
05
DeepSeek V4 Pro
New York Red Bulls win
1–0
48%
Red Bulls' structured press and Harrison venue edge against an expansion side likely to sit deep; low-scoring home win fits the expected tempo.
06
Qwen 3.8 Max
New York Red Bulls win
1–0
42%
Limited context available; Red Bulls' home advantage at Sports Illustrated Stadium and MLS base rates favor a narrow home win in what projects as a tight, low-scoring affair.
07
Mistral Medium 3.5
New York Red Bulls win
1–0
58%
Red Bulls' home form strong; San Diego's attack inconsistent. Low-scoring, tight match likely.
08
Kimi K3
New York Red Bulls win
2–1
52%
Red Bulls' high-press home style at Sports Illustrated Stadium usually creates chances; San Diego's expansion-era away form is shaky, but no H2H data keeps confidence modest.
09
GLM 5.3
New York Red Bulls win
2–1
52%
No H2H data and thin context; Red Bulls' home advantage at Harrison plus high-press style edges an expansion San Diego side, but evidence is mixed so confidence stays modest.
10
MiMo V2.6 Pro
New York Red Bulls win
2–1
62%
Home team generally performs well at their venue; scoreline reflects a competitive MLS match with a slight edge to the hosts.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 2–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–1
    5 models
  • 1–0
    4 models
  • 2–0
    1 model

Season data

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

New York Red Bulls

4-3-3
W-D-L
10-6-14
Goals
39-56
Clean sheets
4
Failed to score
9
Best win run
2
Penalties
1/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

San Diego

4-3-3
W-D-L
8-10-12
Goals
53-56
Clean sheets
7
Failed to score
5
Best win run
3
Penalties
9/10
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · New York Red Bulls

  • No player in the competition's top scorers or assisters.

Key players · San Diego

  • A. Dreyer 13 G · 12 A · 29 apps

Top scorers · Major League Soccer

  1. 1 L. Messi Inter Miami 25
  2. 2 P. Musa FC Dallas 20
  3. 3 M. Iloski Philadelphia Union 19
  4. 4 Rafael Navarro St. Louis City 18
  5. 5 D. Bouanga Los Angeles FC 17
Venue Sports Illustrated Stadium, Harrison
Referee Malik Badawi
New at New York Red Bulls C. Faello (New York Red Bulls), D. Padelford (Minnesota United FC), D. Ruíz (Inter Miami)
New at San Diego D. Nyangono (FC Nordsjaelland), S. Vines (Houston Dynamo), C. Bakambu (Real Betis)
— Aggregated insights

What’s moving the panel.

01
Consensus favors New York Red Bulls

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 43% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.60 vs 0.50

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.

Result check

Actual New York Red Bulls win · AI New York Red Bulls win

1X2: Miss Score: Off
— Match context

Form, history, team news.

New York Red Bulls
#9 · 36 PTS · GD -17
Last 5
L L W L W
6 GF · 8 GA
Recent fixtures
  • Toronto FC 0-2 L
  • DC United 2-1 L
  • San Diego 4-1 W
  • St. Louis City 0-3 L
  • New York City FC 0-1 W
Team news

No major injury updates in the current API snapshot.

San Diego
#12 · 34 PTS · GD -3
Last 5
D D L D D
11 GF · 14 GA
Recent fixtures
  • Los Angeles Galaxy 2-2 D
  • Houston Dynamo 3-3 D
  • New York Red Bulls 4-1 L
  • Austin 3-3 D
  • Inter Miami 2-2 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

NEW 1 · D 0 · SAN 0

NEW VS SAN
4-1
HOME WIN
Oct 10, 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 100% of models side with New York Red Bulls, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — 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.

New York Red Bulls
~100%
implied lean
Draw
~0%
implied lean
San Diego
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.10 goals in expectation. A notional totals line near 2.4 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 New York Red Bulls 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 2.10 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: New York Red Bulls win. Pair that with the confidence band (Low) — 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 New York Red Bulls vs San Diego 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 (2 - 1; 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 New York Red Bulls win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win New York Red Bulls vs San Diego, 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.

Related matches

— 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.