EST 0-1 INS · 48% 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% EST 0-1 INS · 48% 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%
Starligue · Week 3 Finished

PSG
vs
Cesson Rennes-Metropole.

Quick answer

Who will win PSG vs Cesson Rennes-Metropole?

Final score: PSG 30–24 Cesson Rennes-Metropole. Before kickoff, 10 of 10 AI models pick PSG to win (100%); the consensus was right. The AI predicted score was 35–30.

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

All 10 AIs agree. When the whole council agrees, it has been right 81% of the time (31 matches).

10 AI models read this match. The plurality on 1X2 leans toward PSG (10 of 10 models). The mean predicted score (rounded from all models) is 35–30 at 86% mean confidence (High 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.

PSG win 100%

10 / 10 models

Draw 0%

0 / 10 models

Cesson Rennes-Metropole 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-6 Luna
PSG win
35–30
73%
PSG have won all five listed meetings, including 34-31 away most recently. Home advantage and their consistently superior attacking output support another high-scoring victory, with Cesson capable of reaching around 30.
02
Claude Sonnet 5.5
PSG win
33–28
68%
PSG have won 4 of last 5 H2H meetings, typically at home by comfortable margins; strong roster depth gives edge in Starligue opener.
03
Gemini 3.8 Flash
PSG win
35–29
76%
PSG consistently dominate this fixture at home with high offensive output, frequently scoring around 35 goals against Cesson's solid but outmatched defense.
04
Grok 4.7
PSG win
35–30
61%
H2H shows PSG winning every recent clash, usually by 5+ at home with 30-plus for both; early Starligue form is thin so a typical home margin is the best guess.
05
DeepSeek V4 Pro
PSG win
34–27
55%
PSG's powerful home attack and Cesson Rennes-Metropole's usually leaky defense point to a comfortable win, though early-season form creates some uncertainty.
06
Qwen 3.8 Max
PSG win
35–28
72%
PSG dominated all five recent H2H meetings at home and away, averaging 36+ goals. Home venue and superior squad depth support a comfortable win around 35-28.
07
Mistral Medium 3.5
PSG win
35–30
75%
PSG's consistent home wins over Cesson, typically by 5-6 goals
08
Kimi K3
PSG win
33–28
68%
PSG have won all five recent H2H meetings, usually by 4-6 goals at home; Cesson score freely but cannot contain PSG's attack, so a comfortable home win around 33-28 fits.
09
GLM 5.3
PSG win
34–28
68%
PSG have won all five recent H2H meetings by 5+ goals, averaging ~35 goals at home; Cesson competitive but outclassed, so a home win around 34-28 fits.
10
MiMo V2.6 Pro
PSG win
34–29
75%
PSG dominates H2H at home with high-scoring wins; their attacking strength and venue advantage suggest a comfortable margin.
— Scoreline frequency

How often each scoreline showed up.

3 of 9 models settled on 35–30. The rest of the list shows where dissent still lives before kickoff.

  • 35–30
    3 models
  • 33–28
    2 models
  • 34–27
    1 model
  • 35–28
    1 model
  • 34–29
    1 model
  • 35–29
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors PSG

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

02
High confidence

Mean 86% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 34.30 vs 28.70

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 PSG vs Cesson Rennes-Metropole in Starligue? 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 (35 - 30; 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 PSG win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win PSG vs Cesson Rennes-Metropole, 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.