UTA 1-1 SEP · 51% WID 1-0 WIE · 54% SPV 1-0 1.F · 52% VFL 2-0 SVD · 58% KAS 1-1 KON · 50% LYN 1-2 SIL · 52% SAR 2-1 KFU · 55% RAP 2-0 WSG · 60% ANN 1-0 DIJ · 51% GRE 1-1 CLE · 52% LAV 1-0 SOC · 52% PAU 1-1 DUN · 51% REI 1-0 MON · 54% ROD 1-0 NAN · 51% UTA 1-1 SEP · 51% WID 1-0 WIE · 54% SPV 1-0 1.F · 52% VFL 2-0 SVD · 58% KAS 1-1 KON · 50% LYN 1-2 SIL · 52% SAR 2-1 KFU · 55% RAP 2-0 WSG · 60% ANN 1-0 DIJ · 51% GRE 1-1 CLE · 52% LAV 1-0 SOC · 52% PAU 1-1 DUN · 51% REI 1-0 MON · 54% ROD 1-0 NAN · 51%
Ligue 2 · Regular Season - 7 Sep 18, 2026 · 18:00 · UTC Parc des Sports, Annecy Not Started

Annecy
vs
Dijon.

Quick answer

Who will win Annecy vs Dijon?

7 of 10 AI models pick Annecy to win (70%). The mean predicted score is 1–0 at 51% average confidence (low).

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

Head-to-head history → Annecy form Dijon form

10 AI models read this match. The plurality on 1X2 leans toward Annecy (7 of 10 models). The mean predicted score (rounded from all models) is 1–0 at 51% 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

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“Will Annecy beat Dijon 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.

Annecy win 70%

7 / 10 models

Draw 30%

3 / 10 models

Dijon 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
Draw
1–1
38%
With no form or head-to-head data supplied, the matchup is difficult to separate. Annecy’s home advantage may be balanced by Dijon’s ability to compete away, favoring a cautious 1-1 draw.
02
Claude Sonnet 5
Annecy win
1–0
48%
Ligue 2 clashes between mid-table sides are often tight; home venue edge for Annecy without strong H2H or form signals suggests a narrow low-scoring result.
03
Gemini 3.8 Flash
Annecy win
1–0
52%
Annecy are traditionally well-organized and defensively solid at the Parc des Sports, giving them a narrow edge in a tight, low-scoring Ligue 2 clash against Dijon.
04
Grok 4.6
Annecy win
1–0
52%
Thin data and no H2H. Early Ligue 2 round at Parc des Sports favours a tight Annecy home grind over Dijon; low total and a single home goal is the best exact guess.
05
DeepSeek V4 Pro
Annecy win
1–0
50%
Annecy's home advantage at Parc des Sports and tight Ligue 2 tempo point to a low-scoring match, with a single goal likely deciding it.
06
Qwen 3.8 Max
Draw
1–1
52%
Ligue 2 mid-table clash with limited context; both Annecy and Dijon tend toward tight, low-scoring affairs at this level, making a narrow draw the most probable outcome.
07
Mistral Medium 3.5
Draw
1–1
60%
Tight Ligue 2 clash; Annecy solid at home, Dijon resilient away. Low-scoring stalemate likely.
08
Kimi K3
Annecy win
1–0
55%
Annecy typically strong at Parc des Sports while Dijon often struggle on the road; expect tight, low-scoring game with home edge from set-piece threat.
09
GLM 5.3
Annecy win
1–0
52%
Annecy's home edge at Parc des Sports in a likely tight Ligue 2 fixture; Dijon struggling to score away, so a narrow low-scoring home win fits best.
10
MiMo V2.5 Pro
Annecy win
2–1
55%
Home advantage at Parc des Sports likely decisive in a tight Ligue 2 contest; both teams historically concede, but Annecy's early-season home form gives them the edge.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–0
    6 models
  • 1–1
    3 models
  • 2–1
    1 model

Match overview

Looking for a today prediction on Annecy vs Dijon in Ligue 2? 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 Annecy win, with vote shares roughly 70% / 30% / 0% home, draw, and away (rounded).

If you are asking who will win Annecy vs Dijon, 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 Annecy

70% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 51% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.10 vs 0.40

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
— Match context

Form, history, team news.

Annecy
Last 5
L
1 GF · 2 GA
Recent fixtures
  • Guingamp 2-1 L
Team news

No major injury updates in the current API snapshot.

Dijon
Last 5
W
3 GF · 2 GA
Recent fixtures
  • Laval 3-2 W
Team news

No major injury updates in the current API snapshot.

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 70% of models side with Annecy, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 30% — tight Ligue 2 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.

Annecy
~70%
implied lean
Draw
~30%
implied lean
Dijon
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.50 goals in expectation. A notional totals line near 1.8 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 Annecy 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 1.50 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: Annecy 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.

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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.