MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62%
Major League Soccer · Regular Season - 33 Allianz Field, Sao Paulo Match Finished · 90'

Minnesota United FC
vs
St. Louis City.

Quick answer

Who will win Minnesota United FC vs St. Louis City?

Final score: Minnesota United FC 3–2 St. Louis City. Before kickoff, 8 of 10 AI models pick Minnesota United FC to win (80%); 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 → Minnesota United FC form St. Louis City form

10 AI models read this match. The plurality on 1X2 leans toward Minnesota United FC (8 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 41% 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 Minnesota United FC and St. Louis City stand right now
— Consensus

Where the panel lands.

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

Minnesota United FC win 80%

8 / 10 models

Draw 10%

1 / 10 models

St. Louis City win 10%

1 / 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 Luna
Minnesota United FC win
2–1
51%
Minnesota United FC receive the home-field edge at Allianz Field, while the absence of form and head-to-head data keeps the matchup uncertain. A competitive MLS game with narrow Minnesota advantage best fits 2-1.
02
Claude Sonnet 5.5
Minnesota United FC win
2–1
48%
Home venue edge at Allianz Field with no meaningful head-to-head data; moderate confidence given limited distinguishing context between sides.
03
Gemini 3.8 Flash
Minnesota United FC win
2–1
48%
Minnesota United typically holds a strong home advantage at Allianz Field, while St. Louis City's aggressive high press tends to create open transitions favoring clinical home finishing.
04
Grok 4.7
Minnesota United FC win
1–0
46%
No H2H or form listed; MLS home edge at Allianz Field favors Minnesota in a tight, low-scoring Regular Season game versus St. Louis.
05
DeepSeek V4 Pro
Minnesota United FC win
2–1
52%
Minnesota's home advantage at Allianz Field and solid attack edge a close contest; St. Louis likely to score once.
06
Qwen 3.8 Max
Minnesota United FC win
1–0
48%
Minnesota's organized home setup at Allianz Field gives a slight edge; limited form data keeps confidence modest, favoring a tight low-scoring home win.
07
Mistral Medium 3.5
St. Louis City win
1–2
58%
St. Louis City's strong away form and higher tempo likely edge Minnesota United at home.
08
Kimi K3
Minnesota United FC win
2–1
52%
Thin context and no H2H data; Minnesota's home edge at Allianz Field and MLS home scoring rates lean slightly toward a narrow home win in an open game.
09
GLM 5.3
Minnesota United FC win
1–0
45%
No H2H or form data available, so this leans on base rates plus Minnesota's home advantage at Allianz Field; a narrow low-scoring home win fits the thin evidence.
10
MiMo V2.6 Pro
Draw
1–1
42%
No H2H or form data available, so evidence is thin; Minnesota's home edge is real but St. Louis has been competitive on the road. A tight, low-scoring draw fits both sides' cautious late-season approach.
— 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
    3 models
  • 1–2
    1 model
  • 1–1
    1 model
Team news

Confirmed lineups: Minnesota United FC vs St. Louis City

Minnesota United FC

3-4-1-2
C. Knowles
9 K. Yeboah
9 Yeboah
16 A. Jackson
16 Jackson
18 M. Gonzalez
18 Gonzalez
13 A. Markanich
13 Markanich
20 W. Trapp
20 Trapp
25 N. Triantis
25 Triantis
21 B. Hlongwane
21 Hlongwane
23 M. Duggan
23 Duggan
28 J. Díaz
28 Díaz
52 Cherrion Valerius
52 Valerius
12 D. Callender
12 Callender

Bench: N. Romero, Kayne Rizvanovich, J. Pereyra, M. Malone, O. Gene, K. Duncan, T. Chancalay, Marcus Caldeira, M. Boxall

St. Louis City

3-4-1-2
Y. Damet
9 Rafael Navarro
9 Navarro
11 S. Becher
11 Becher
77 Jeong Sang-Bin
77 Sang-Bin
14 T. Totland
14 Totland
28 M. Perez
28 Perez
21 D. Polvara
21 Polvara
59 M. Joyner
59 Joyner
27 F. Fall
27 Fall
32 T. Baumgartl
32 Baumgartl
99 J. Orozco
99 Orozco
1 R. Bürki
1 Bürki

Bench: Rafael Santos, C. Brunet, D. Downs, D. Edelman, C. Holse, B. Lundt, L. MacNaughton, A. Mățan, T. Ostrák

Season data

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

Minnesota United FC

3-4-3
W-D-L
9-11-12
Goals
50-56
Clean sheets
6
Failed to score
6
Best win run
4
Penalties
3/4
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

St. Louis City

3-4-3
W-D-L
14-9-9
Goals
58-47
Clean sheets
5
Failed to score
6
Best win run
4
Penalties
3/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Minnesota United FC

  • K. Yeboah 18 G · 3 A · 31 apps
  • J. Pereyra 3 G · 12 A · 30 apps

Key players · St. Louis City

  • Rafael Navarro 19 G · 6 A · 32 apps

Top scorers · Major League Soccer

  1. 1 L. Messi Inter Miami 25
  2. 2 P. Musa FC Dallas 22
  3. 3 Rafael Navarro St. Louis City 19
  4. 4 M. Iloski Philadelphia Union 19
  5. 5 D. Bouanga Los Angeles FC 18
Venue Allianz Field, Sao Paulo
Referee Ramy Touchan
New at Minnesota United FC Cherrion Valerius (NAC Breda), M. Malone (Sturm Graz), A. Jackson (Jagiellonia)
New at St. Louis City D. Downs (Southampton), C. Brunet (Nashville SC), Rafael Navarro (Colorado Rapids)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Minnesota United FC

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

02
Low confidence

Mean 41% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.50 vs 0.80

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 Minnesota United FC win · AI Minnesota United FC win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Minnesota United FC
#12 · 38 PTS · GD -6
Last 5
W D W D D
10 GF · 7 GA
Recent fixtures
  • Sporting Kansas City 3-1 W
  • Houston Dynamo 0-0 D
  • St. Louis City 3-2 W
  • Colorado Rapids 2-2 D
  • Houston Dynamo 2-2 D
Team news

No major injury updates in the current API snapshot.

St. Louis City
#3 · 51 PTS · GD +11
Last 5
L L L D L
4 GF · 10 GA
Recent fixtures
  • San Diego 0-1 L
  • Portland Timbers 2-3 L
  • Real Salt Lake 3-0 L
  • Columbus Crew 0-0 D
  • Minnesota United FC 3-2 L
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

MIN 1 · D 0 · STL 1

MIN VS STL
3-2
HOME WIN
Oct 17, 2026
STL VS MIN
4-2
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 Minnesota United FC, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 10% — 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.

Minnesota United FC
~80%
implied lean
Draw
~10%
implied lean
St. Louis City
~10%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.30 goals in expectation. A notional totals line near 2.6 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 Minnesota United FC 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 2.30 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: Minnesota United FC 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 Minnesota United FC vs St. Louis City 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 Minnesota United FC win, with vote shares roughly 80% / 10% / 10% home, draw, and away (rounded).

If you are asking who will win Minnesota United FC vs St. Louis City, 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.