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  • 17 October 2026, Strasbourg Alsace vs Paris Saint-Germain, 1-3, Win
  • 10 October 2026, Paris Saint-Germain vs Le Mans, 3-1, Win
  • 20 September 2026, Olympique de Marseille vs Paris Saint-Germain, 1-2, Win
  • 13 September 2026, Stade Brestois vs Paris Saint-Germain, 0-1, Win
  • 04 September 2026, Paris Saint-Germain vs AS Monaco, 1-2, Lose
Paris Saint-Germain
Home
  • 18 October 2026, Olympique Lyonnais vs OGC Nice, 2-1, Win
  • 09 October 2026, RC Lens vs Olympique Lyonnais, 2-1, Lose
  • 19 September 2026, Olympique Lyonnais vs Stade Rennais, 4-0, Win
  • 12 September 2026, Paris FC vs Olympique Lyonnais, 0-0, Draw
  • 04 September 2026, Olympique Lyonnais vs AJ Auxerre, 3-1, Win
Olympique Lyonnais
Away
Ligue 1
Ligue 1, France

From the available data, there were no cautions or expulsions for either side, which points to a match played with notable discipline. The absence of bookings suggests a controlled tempo and limited refereeing interruptions. However, the dataset does not include goals, shots, assists, or other attacking or defensive metrics, so the narrative is constrained to structure rather than scoreline outcomes.

If teams pursued a balanced, possession-oriented approach, the clean disciplinary slate would align with fewer stoppages and longer sequences of play. This environment typically favors sides with structured build-ups and the ability to sustain pressure without costly fouls. In that context, PSG would be expected to push the tempo through controlled ball progression, while Lyon would look to maintain compact lines and targeted counter opportunities when turnover occurs.

Defensive performance remains hard to quantify without saves, blocks, duels won, or crossing data, even though the zero bookings imply limited risky challenges. A true assessment of resilience would require goalkeeper actions and defensive metrics to determine which unit offered more stability under pressure. Without those indicators, we cannot confirm which team more effectively disrupted attacking phases.

Set-piece advantage cannot be inferred from the current dataset, as corner kicks, free-kicks in dangerous zones, and resulting conversions are not reported. For bettors, the most valuable missing data would be shot maps, expected goals, and goalkeeper workload, which collectively illuminate where pressure concentrated and how efficiently chances were converted or repelled. In short, the key differentiators remain unattested, so actionable betting angles hinge on obtaining deeper attacking and defensive statistics.

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Form Guide

Win1-3Strasbourg Alsace vs Paris Saint-Germain
Win3-1Paris Saint-Germain vs Le Mans
Win1-2Olympique de Marseille vs Paris Saint-Germain
Win0-1Stade Brestois vs Paris Saint-Germain
Lose1-2Paris Saint-Germain vs AS Monaco
PLAYED
5
WINS
4
GOALS
10:5
GOALS / MATCH
2
  • Paris Saint-Germain has four wins in its last five matches with a goal difference of 10:5, scoring 2 goals average
Win2-1Olympique Lyonnais vs OGC Nice
Lose2-1RC Lens vs Olympique Lyonnais
Win4-0Olympique Lyonnais vs Stade Rennais
Draw0-0Paris FC vs Olympique Lyonnais
Win3-1Olympique Lyonnais vs AJ Auxerre
PLAYED
5
WINS
3
GOALS
10:4
GOALS / MATCH
2
  • Olympique Lyonnais has won three out of its last five matches with a goal difference of 10:4, scoring 2 goals average

Paris Saint-Germain H2H Olympique Lyonnais

Home gameParis Saint-Germain12Olympique LyonnaisAway gameLigue 1
Away gameParis Saint-Germain32Olympique LyonnaisHome gameLigue 1
Away gameParis Saint-Germain32Olympique LyonnaisHome gameLigue 1
Home gameParis Saint-Germain31Olympique LyonnaisAway gameLigue 1
Away gameParis Saint-Germain21Olympique LyonnaisHome gameCoupe de France
PLAYED
5
WINS
4
GOALS
12:8
GOALS / MATCH
2.40
  • In the last five matches that these two sides meet, Paris Saint-Germain overtook Olympique Lyonnais four times
  • Paris Saint-Germain won four times, lost once
  • Teams played five times head-to-head in the current season with the goals score 12:8; average goals per match – 2.40
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