CLU 1-2 SAN · 50% BEş 2-1 BAş · 54% RIZ 0-2 TRA · 57% FCC 2-0 ODE · 63% GAL 2-1 FEN · 48% SAN 1-2 BEN · 55% PAR 2-1 LYO · 48% SEV 1-0 OSA · 48% UNI 0-1 EST · 48% COR 1-1 GRE · 42% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% CLU 1-2 SAN · 50% BEş 2-1 BAş · 54% RIZ 0-2 TRA · 57% FCC 2-0 ODE · 63% GAL 2-1 FEN · 48% SAN 1-2 BEN · 55% PAR 2-1 LYO · 48% SEV 1-0 OSA · 48% UNI 0-1 EST · 48% COR 1-1 GRE · 42% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54%
Pro D2 · Week 4 Sep 11, 2026 · 17:30 Finished

US Dax
vs
Valence Romans.

Quick answer

Who will win US Dax vs Valence Romans?

Final score: US Dax 27–20 Valence Romans. Before kickoff, 6 of 10 AI models pick Valence Romans to win (60%); the consensus was wrong. The AI predicted score was 24–27.

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

10 AI models read this match. The plurality on 1X2 leans toward Valence Romans (6 of 10 models). The mean predicted score (rounded from all models) is 24–27 at 64% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

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

US Dax win 40%

4 / 10 models

Draw 0%

0 / 10 models

Valence Romans win 60%

6 / 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
Valence Romans win
28–29
56%
Valence Romans have won the last three meetings, including a 33-31 victory at Dax, while recent head-to-heads suggest an open, high-scoring matchup. Dax’s home advantage should keep the margin narrow.
02
Claude Sonnet 5
US Dax win
26–23
52%
Recent meetings are tight and high-scoring; early-season Pro D2 fixture at home gives US Dax a slight edge in a close contest.
03
Gemini 3.8 Flash
US Dax win
26–21
58%
Recent meetings have been tight and high-scoring. Dax hold strong home advantage in Pro D2 and should edge a close, competitive battle against Valence Romans.
04
Grok 4.6
Valence Romans win
22–27
52%
Valence Romans won both recent trips to Dax (33-31, 23-17) and four of five H2H. Week 3 form is thin, so a tight away win is the best guess.
05
DeepSeek V4 Pro
Valence Romans win
24–27
50%
Valence Romans have won the last three meetings, including 33-31 at Dax; US Dax's home attack should keep it close, but the visitors' recent edge persists.
06
Qwen 3.8 Max
Valence Romans win
20–24
58%
Valence Romans won 3 of last 5 H2H including both 2025-26 meetings; their away form at Dax has been strong, edging close contests consistently.
07
Mistral Medium 3.5
US Dax win
27–24
58%
Recent H2H extremely close; home edge tips narrow US Dax win
08
Kimi K3
Valence Romans win
23–26
52%
Valence Romans have won the last three H2H meetings including twice at Dax, suggesting a matchup edge; Dax home advantage keeps it tight in a typically competitive Pro D2 scoring band.
09
GLM 5.3
US Dax win
26–22
52%
H2H is tight with Valence Romans winning 3 of 5, but Dax took the last away meeting; home venue in Week 3 gives Dax a narrow edge in a high-tempo Pro D2 shootout.
10
MiMo V2.6 Pro
Valence Romans win
24–27
58%
Valence Romans have won most recent H2H with close margins, including an away win; home advantage may not overcome their form.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 24–27. The rest of the list shows where dissent still lives before kickoff.

  • 24–27
    2 models
  • 28–29
    1 model
  • 26–23
    1 model
  • 27–24
    1 model
  • 20–24
    1 model
  • 22–27
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Valence Romans

60% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 64% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 24.60 vs 25.00

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

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

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

Match overview

Looking for a today prediction on US Dax vs Valence Romans in Pro D2? 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 (24 - 27; 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 Valence Romans win, with vote shares roughly 40% / 0% / 60% home, draw, and away (rounded).

If you are asking who will win US Dax vs Valence Romans, 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.