BapLab

Paris Saint-Germain

ActiveFRAPot 1UEFA Champions League 2026-27League phase

Fixtures, model forecasts and tournament paths in one place.

OFFICIAL results as of 11 Sept 2026, 16:31 UTCSIMULATION updated after Matchday 1

Season outlook

SIMULATION100,000 simulated seasons
Expected points
16.9
Expected league position
6.5
Top 8 (direct to round of 16)
71.8%
Top 24 (reaches the knockouts)
99.5%

Competition state

DERIVEDLeague phase
18 of 144 fixtures completed · next up: Matchday 2
OFFICIALThis club
1 of 8 played · 1 won, 0 drawn, 0 lost
OFFICIALLast result
MD1 · Paris Saint-Germain 6–1 Slovan Bratislava · Won
Next fixture
MD2 · Wed, 14 Oct 2026 · 21:00 CEST · Manchester City v Paris Saint-Germain

Model inputs

MODEL INPUTwhat the match model is given
Strength rating
96 / 100
BapLab’s rating of the club’s current sporting strength, not an official UEFA ranking. The gap between two clubs’ ratings drives the expected goals in their match.
European pedigree
4.5 / 5
European history and experience. It nudges effective strength up above 3 and down below 3, a small adjustment next to the rating.
Home advantage
+0.26
Extra expected goal difference in the club’s favour in its home matches.

League-phase fixtures

8 matches · kickoff in Central European time
  • MD1Wed, 9 Sept 2026 · 21:00 CEST · Home

    Paris Saint-Germain 6–1 Slovan Bratislava

    OFFICIALFull time · Won

    MODELPre-match forecastArchive time unavailable

    Home win
    93.1%
    Draw
    5.4%
    Away win
    1.4%

    xG 3.58 – 0.36

  • MD2Wed, 14 Oct 2026 · 21:00 CEST · Away

    Manchester City v Paris Saint-Germain

    Scheduled

    MODELCurrent forecast

    Home win
    40.0%
    Draw
    25.8%
    Away win
    34.3%

    xG 1.41 – 1.29

  • MD3Tue, 20 Oct 2026 · 21:00 CEST · Home

    Paris Saint-Germain v Barcelona

    Scheduled

    MODELCurrent forecast

    Home win
    47.5%
    Draw
    25.1%
    Away win
    27.3%

    xG 1.57 – 1.12

  • MD4Tue, 3 Nov 2026 · 21:00 CET · Away

    Villarreal v Paris Saint-Germain

    Scheduled

    MODELCurrent forecast

    Home win
    14.9%
    Draw
    19.2%
    Away win
    65.9%

    xG 0.93 – 2.18

  • MD5Wed, 25 Nov 2026 · 21:00 CET · Home

    Paris Saint-Germain v Roma

    Scheduled

    MODELCurrent forecast

    Home win
    74.6%
    Draw
    16.4%
    Away win
    8.9%

    xG 2.32 – 0.67

  • MD6Tue, 8 Dec 2026 · 21:00 CET · Away

    Aston Villa v Paris Saint-Germain

    Scheduled

    MODELCurrent forecast

    Home win
    26.7%
    Draw
    24.3%
    Away win
    49.0%

    xG 1.17 – 1.66

  • MD7Wed, 20 Jan 2027 · 21:00 CET · Away

    Como v Paris Saint-Germain

    Scheduled

    MODELCurrent forecast

    Home win
    16.2%
    Draw
    20.1%
    Away win
    63.7%

    xG 0.96 – 2.10

  • MD8Wed, 27 Jan 2027 · 21:00 CET · Home

    Paris Saint-Germain v Galatasaray

    Scheduled

    MODELCurrent forecast

    Home win
    77.6%
    Draw
    14.9%
    Away win
    7.5%

    xG 2.45 – 0.62

Home side first. A current forecast can change before kickoff; a completed match keeps its archived pre-match forecast and is never recalculated.

League-phase expectation

SIMULATION100,000 simulated seasons
Expected points after 8 matches
16.85
+0.17 vs pre-season
Expected league position 1 is best
6.54
−0.14 vs pre-season

How far the club gets

reaches at least this stage
  • Top 8direct to the round of 16 71.8% +0.7 pp
  • Top 24reaches the knockout phase 99.5% +0.4 pp
  • Round of 16 96.2% +0.5 pp
  • Quarter-final 74.8% +0.8 pp
  • Semi-final 49.8% +0.2 pp
  • Final 30.4% −0.3 pp
  • Champion 17.1% −0.3 pp

Where the season ends

final outcome · sums to 100.0%
  • League phaseeliminated in the league phase 0.5% −0.4 pp
  • Knockout play-offeliminated in the play-off 3.3% −0.2 pp
  • Round of 16eliminated 21.4% −0.2 pp
  • Quarter-finaleliminated 24.9% +0.6 pp
  • Semi-finaleliminated 19.4% +0.5 pp
  • Finalrunner-up 13.3% 0.0 pp
  • Championwins the competition 17.1% −0.3 pp

Most likely end point: Quarter-final.

SIMULATION100,000 simulated seasons, updated after Matchday 1changes compared with the pre-season forecastmodel outputs, not odds