MON 1-1 CAG · 38% PAR 1-1 TOR · 39% TOT 2-0 COV · 54% GET 1-1 RAY · 38% FEN 2-1 SLA · 45% SAB 0-3 BOR · 66% LIV 2-0 VIL · 51% MAN 3-0 AEK · 65% PAR 2-1 BAR · 44% VFB 0-1 ATL · 42% ASR 2-0 SLO · 58% FCP 2-1 PSV · 43% NAP 2-0 BOD · 54% COM 1-2 MAN · 46% MON 1-1 CAG · 38% PAR 1-1 TOR · 39% TOT 2-0 COV · 54% GET 1-1 RAY · 38% FEN 2-1 SLA · 45% SAB 0-3 BOR · 66% LIV 2-0 VIL · 51% MAN 3-0 AEK · 65% PAR 2-1 BAR · 44% VFB 0-1 ATL · 42% ASR 2-0 SLO · 58% FCP 2-1 PSV · 43% NAP 2-0 BOD · 54% COM 1-2 MAN · 46%
Major League Soccer · Regular Season - 34 Oct 17, 2026 · 23:30 · UTC Exploria Stadium, Orlando Match Finished · 90'

Orlando City SC
vs
DC United.

Quick answer

Who will win Orlando City SC vs DC United?

Final score: Orlando City SC 4–1 DC United. Before kickoff, 10 of 10 AI models pick Orlando City SC 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 → Orlando City SC form DC United form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (527 matches).

10 AI models read this match. The plurality on 1X2 leans toward Orlando City SC (10 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 44% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Orlando City SC beat DC United in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

Orlando City SC win 100%

10 / 10 models

Draw 0%

0 / 10 models

DC United 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
Orlando City SC win
2–1
54%
With no recent form or head-to-head data available, the main support is Orlando's home advantage at Exploria Stadium; MLS parity and limited context favor a narrow, moderate-scoring home win.
02
Claude Sonnet 5
Orlando City SC win
2–1
50%
Orlando typically stronger squad and home venue late in season; DC United often struggles on the road, but expect a competitive, moderately close game.
03
Gemini 3.8 Flash
Orlando City SC win
2–1
52%
Orlando typically control tempo at home and capitalize on defensive lapses, while DC United often struggle for clean sheets on the road.
04
Grok 4.6
Orlando City SC win
1–0
48%
Thin 2026 data and no H2H. Orlando’s Exploria home edge in MLS regular season supports a narrow win over DC United in a low-scoring game.
05
DeepSeek V4 Pro
Orlando City SC win
1–0
48%
Limited context available; Orlando's home venue at Exploria Stadium offers a slight edge, but DC United's competitiveness in MLS makes a narrow, low-scoring result most plausible.
06
Qwen 3.8 Max
Orlando City SC win
2–1
52%
Orlando's home strength and general quality edge over a weaker DC United side support a narrow home win; limited form data keeps confidence moderate.
07
Mistral Medium 3.5
Orlando City SC win
1–0
58%
Orlando home form strong; DC United inconsistent. Tight, low-scoring likely.
08
Kimi K3
Orlando City SC win
2–1
55%
Orlando's home advantage at Exploria Stadium and typically stronger attacking depth give them the edge over a DC United side that often struggles defensively on the road in MLS play.
09
GLM 5.3
Orlando City SC win
2–1
52%
Orlando are historically strong at Exploria Stadium while DC United have often leaked goals on the road; no H2H data available, so modest confidence on a narrow home win.
10
MiMo V2.5 Pro
Orlando City SC win
2–1
52%
No H2H or form data available, so this leans on Exploria Stadium home advantage and MLS base rates; Orlando's home edge supports a narrow win over DC United in a moderately open game.
— Scoreline frequency

How often each scoreline showed up.

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

  • 2–1
    7 models
  • 1–0
    3 models

Match overview

Looking for a today prediction on Orlando City SC vs DC United 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 Orlando City SC win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Orlando City SC vs DC United, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Orlando City SC

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

02
Low confidence

Mean 44% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.70 vs 0.70

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model
Team news

Confirmed lineups: Orlando City SC vs DC United

Orlando City SC

4-2-3-1
M. Perelman
9 D. Dike
9 Dike
10 M. Ojeda
10 Ojeda
7 A. Griezmann
7 Griezmann
20 E. Atuesta
20 Atuesta
16 W. Cartagena
16 Cartagena
5 Luis Otávio
5 Otávio
77 I. Angulo
77 Angulo
57 Iago
57 Iago
4 D. Brekalo
4 Brekalo
19 Z. Taifi
19 Taifi
71 M. Crépeau
71 Crépeau

Bench: Justin Ellis, Joran Gerbet, N. Miller, B. Ojeda, Javier Otero, Marco Pasalic, Harvey Sarajian, Tiago, Adrián Marín

DC United

4-4-2
R. Weiler
23 B. Servania
23 Servania
9 T. Baribo
9 Baribo
7 Peglow
7 Peglow
21 A. Dozzell
21 Dozzell
2 K. Nono
2 Nono
8 J. Stroud
8 Stroud
6 K. Kurokawa
6 Kurokawa
15 K. Rowles
15 Rowles
13 S. Nealis
13 Nealis
5 S. Hefti
5 Hefti
1 S. Johnson
1 Johnson

Bench: C. Antley, O. Avilez, A. Bono, K. Castillo, J. Hopkins, Nikola Markovic, N. Ordaz, M. Peltola, Gavin Turner

Result check

Actual Orlando City SC win · AI Orlando City SC win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Orlando City SC
#7 · 41 PTS · GD -12
Last 5
W D W L L
13 GF · 12 GA
Recent fixtures
  • DC United 4-1 W
  • Toronto FC 3-3 D
  • Columbus Crew 3-2 W
  • Philadelphia Union 4-2 L
  • Columbus Crew 2-1 L
Team news

No major injury updates in the current API snapshot.

DC United
#13 · 33 PTS · GD -14
Last 5
L W L L D
6 GF · 13 GA
Recent fixtures
  • Orlando City SC 4-1 L
  • New York Red Bulls 2-1 W
  • Inter Miami 4-0 L
  • SC Paderborn 07 0-1 L
  • Vancouver Whitecaps 3-3 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

ORL 1 · D 0 · DCU 0

ORL VS DCU
4-1
HOME WIN
Oct 17, 2026

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 Orlando City SC, 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.

Orlando City SC
~100%
implied lean
Draw
~0%
implied lean
DC United
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.40 goals in expectation. A notional totals line near 2.7 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 Orlando City SC 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 2.40 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: Orlando City SC 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.

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.