UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58% UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58%
Ligue 1 · Regular Season - 8 Oct 26, 2026 · 19:30 · UTC Parc des Princes, Paris Match Finished · 90'

Paris Saint Germain
vs
Lyon.

Quick answer

Who will win Paris Saint Germain vs Lyon?

Final score: Paris Saint Germain 2–0 Lyon. Before kickoff, 10 of 10 AI models pick Paris Saint Germain 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 → Paris Saint Germain form Lyon form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (678 matches).

10 AI models read this match. The plurality on 1X2 leans toward Paris Saint Germain (10 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 53% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Ligue 1 table Where Paris Saint Germain and Lyon stand right now
— Consensus

Where the panel lands.

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

Paris Saint Germain win 100%

10 / 10 models

Draw 0%

0 / 10 models

Lyon 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
Paris Saint Germain win
2–1
58%
PSG’s home advantage and unbeaten scoring record support a narrow win, but missing Dembele, Kvaratskhelia and Marquinhos weaken their attacking and defensive margins. Lyon’s strong 4W-2D-1L start makes 2-1 the likeliest score.
02
Claude Sonnet 5
Paris Saint Germain win
2–1
52%
PSG strong at home scoring every match this season, but Lyon's solid defense and recent H2H success (won 3 of last 5) keeps this close.
03
Gemini 3.8 Flash
Paris Saint Germain win
2–1
58%
Despite notable absentees for PSG, Lyon miss key attackers like Openda and Nakamura. PSG's midfield control and home advantage at Parc des Princes give them the edge in a typically competitive clash.
04
Grok 4.6
Paris Saint Germain win
2–1
48%
PSG at Parc des Princes still edge a similar 4-2-1 Lyon side; absences (Dembélé, Kvara, Marquinhos) cap the margin. Lyon concede little but H2H and late PSG goals point to a narrow home win.
05
DeepSeek V4 Pro
Paris Saint Germain win
2–1
52%
PSG's strong home form and Lyon's solid defense suggest a tight game; PSG edge from venue and attack despite missing Dembele and Kvaratskhelia.
06
Qwen 3.8 Max
Paris Saint Germain win
2–1
50%
PSG home edge and consistent scoring, but Lyon's strong defence (5 conceded, 3 clean sheets) and PSG missing Dembélé/Kvaratskhelia keep it tight. Lyon missing Openda and Sulc limits their attack.
07
Mistral Medium 3.5
Paris Saint Germain win
2–1
62%
PSG home form strong (LWWWW), Lyon solid but missing key attackers. H2H favors PSG at home; late goals likely.
08
Kimi K3
Paris Saint Germain win
2–1
52%
PSG's home edge and Lyon's six absentees including Openda and Tagliafico outweigh PSG's own defensive losses; H2H shows tight, high-scoring games, so a narrow home win fits best.
09
GLM 5.3
Paris Saint Germain win
2–1
53%
PSG's attack is hit by Dembélé, Kvaratskhelia and Marquinhos absences, but depth at Parc des Princes still edges Lyon, whose solid defense (5 conceded) keeps it tight.
10
MiMo V2.6 Pro
Paris Saint Germain win
2–1
48%
Both sit 4W2D1L, but PSG's Parc des Princes edge and late-goal threat (43% after 75') offset Lyon's tighter defense; H2H shows open, high-scoring meetings with PSG usually edging them.
— Scoreline frequency

How often each scoreline showed up.

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

  • 2–1
    10 models

Live match centre

Full-time
Paris Saint Germain
Senny Mayulu 72'
Mika Godts 84'
2–0
Lyon
Pro

Momentum, live stats, xG, player ratings and every event, minute by minute.

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Bookmakers vs the AI panel

Bet365 · 1.33 / 5.50 / 8.50
Paris Saint Germain Market 72% · AI 100%
Draw Market 17% · AI 0%
Lyon Market 11% · AI 0%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 12 AI models picking each result.

Team news

Confirmed lineups: Paris Saint Germain vs Lyon

Paris Saint Germain

4-3-3
Luis Enrique
11 M. Akliouche
11 Akliouche
9 Ferran Torres
9 Torres
14 D. Doué
14 Doué
8 Fabián Ruiz
8 Ruiz
17 Vitinha
17 Vitinha
87 João Neves
87 Neves
33 W. Zaïre-Emery
33 Zaïre-Emery
51 W. Pacho
51 Pacho
6 I. Zabarnyi
6 Zabarnyi
2 A. Hakimi
2 Hakimi
39 M. Safonov
39 Safonov

Bench: Beraldo, D. Boly, L. Chevalier, L. Digne, Pedro Fernández, M. Godts, L. Hernández, Senny Mayulu, Quentin Ndjantou Mbitcha

Lyon

4-3-3
Paulo Fonseca
24 J. Duranville
24 Duranville
18 K. Merah
18 Merah
7 E. Nuamah
7 Nuamah
8 C. Tolisso
8 Tolisso
23 T. Morton
23 Morton
6 T. Tessmann
6 Tessmann
16 Abner
16 Abner
19 M. Niakhaté
19 Niakhaté
20 F. Bacher
20 Bacher
13 Z. Athekame
13 Athekame
1 D. Greif
1 Greif

Bench: N. Nartey, R. Kluivert, K. Boudache, M. Bidstrup, R. Descamps, A. Hamdani, R. Himbert, N. Kamara, Clinton Mata

Season data

Ligue 1 numbers for both sides, when they score and the players who carry them.

Paris Saint Germain

4-3-3
W-D-L
4-2-1
Goals
14-9
Clean sheets
1
Failed to score
0
Best win run
0
Penalties
1/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Lyon

4-2-3-1
W-D-L
4-2-1
Goals
13-5
Clean sheets
3
Failed to score
1
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Paris Saint Germain

  • Ferran Torres 4 G · 1 A · 7 apps
  • Marquinhos 3 G · 0 A · 5 apps

Key players · Lyon

  • Z. Athekame 2 G · 3 A · 7 apps
  • E. Nuamah 3 G · 1 A · 5 apps
  • P. Šulc 1 G · 3 A · 7 apps

Top scorers · Ligue 1

  1. 1 E. Lepaul Rennes 7
  2. 2 L. Sinayoko Paris FC 6
  3. 3 C. Archer Auxerre 5
  4. 4 A. Gouiri Marseille 5
  5. 5 C. Tengstedt Toulouse 5
Venue Parc des Princes, Paris
Referee Jerome Brisard
New at Paris Saint Germain M. Godts (Ajax), Ferran Torres (Barcelona), L. Digne (Aston Villa)
New at Lyon Keito Nakamura (Reims), Z. Athekame (AC Milan), F. Bacher (Estoril)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Paris Saint Germain

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

02
Medium confidence

Mean 53% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.00 vs 1.00

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.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric Paris Saint Germain Lyon Expected total Lean Actual
Corners 6.9 4.4 11.2 Under 11.5 55% 11 hit Ask AI
Yellow cards 1.4 1.7 3.1 Under 3.5 62% 3 hit Ask AI
Shots 17.3 11.2 28.5 Under 28.5 51% 25 hit Ask AI
Shots on target 5.8 4.7 10.5 Under 10.5 52% 15 miss Ask AI

Sample: 10 matches per side. Over the last 90 days the corners lean hit 54% of 215 graded matches, cards 58% of 215. Probabilities are Poisson estimates for information only.

Result check

Actual Paris Saint Germain win · AI Paris Saint Germain win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Paris Saint Germain
#2 · 14 PTS · GD +5
Last 5
W W W W W
16 GF · 6 GA
Recent fixtures
  • Lyon 2-0 W
  • Barcelona 4-2 W
  • Strasbourg 1-3 W
  • Manchester City 2-4 W
  • Le Mans 3-1 W
Team news
O. Dembele — Thigh Injury K. Kvaratskhelia — Knee Injury Marquinhos — Thigh Injury N. Mendes — Muscle Injury A. Longoni — Injury
Lyon
#1 · 14 PTS · GD +8
Last 5
L L W W L
6 GF · 10 GA
Recent fixtures
  • Paris Saint Germain 2-0 L
  • 1899 Hoffenheim 3-0 L
  • Nice 2-1 W
  • Crystal Palace 3-2 W
  • Lens 2-1 L
Team news
S. Kango — Concussion K. Nakamura — Red Card L. Openda — Leg Injury M. Ouedraogo — Knee Injury P. Sulc — Knee Injury N. Tagliafico — Muscle Injury
— Head to head

Last five meetings.

PAR 4 · D 0 · LYO 1

PAR VS LYO
2-0
HOME WIN
Oct 26, 2026
PAR VS LYO
1-2
AWAY WIN
Apr 19, 2026
LYO VS PAR
2-3
AWAY WIN
Nov 9, 2025
LYO VS PAR
2-3
AWAY WIN
Feb 23, 2025
PAR VS LYO
3-1
HOME WIN
Dec 15, 2024

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 100% of models side with Paris Saint Germain, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Ligue 1 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.

Paris Saint Germain
~100%
implied lean
Draw
~0%
implied lean
Lyon
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 3.00 goals in expectation. A notional totals line near 3.3 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 Paris Saint Germain 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 3.00 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: Paris Saint Germain win. Pair that with the confidence band (Medium) — 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 Paris Saint Germain vs Lyon in Ligue 1? 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 Paris Saint Germain win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Paris Saint Germain vs Lyon, 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.