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Paris Saint Germain — Fixtures, Results & Predictions

Last 20 matches played · across 2025–26 and 2026–27 · 6 Mar 2026 – 4 Sep 2026

Paris Saint Germain

These figures cover the last 20 matches played, spanning 2025–26 and 2026–27 (6 Mar 2026 – 4 Sep 2026). They are a rolling form window, not a season table.

Record
11–5–4
Goals for / against
43–22
xG for per match
1.34
xG against per match
0.72
Attack rating
+0.762
Defence rating
-0.284
Ratings as of
6 Sep 2026

Currently in Champions League — fixtures, results, standings and predictions for the whole competition.

Upcoming fixtures

Kick-offOpponentCompetition WinDrawLose
H Slovan Bratislava Champions League 92% 5% 2% prediction →
A Brest Ligue 1 63% 19% 18% prediction →
A Marseille Ligue 1 44% 23% 33% prediction →
H Le Mans Ligue 1 82% 11% 7% prediction →
A Manchester City Champions League 64% 18% 19% prediction →
A Strasbourg Ligue 1 49% 23% 28% prediction →
H Barcelona Champions League 74% 13% 13% prediction →
H Lyon Ligue 1 62% 21% 18% prediction →
A Le Havre Ligue 1 59% 23% 19% prediction →
A Villarreal Champions League 91% 6% 2% prediction →

Probabilities are the model's calibrated view at its last run; each fixture's page carries the full market list and the time it was priced.

Squad · 2026–27

PlayerPosAppsMinGAxGxA
Marquinhos DC 2180 20 1.20.0
Vitinha MC 2180 11 0.30.9
William Pacho DC 2180 00 0.00.0
Matvey Safonov GK 2180 00 0.00.0
Achraf Hakimi DR 2180 00 0.30.1
Warren Zaïre-Emery MC 2156 00 0.60.0
Fabián MC 2152 00 0.10.1
Maghnes Akliouche AMR 2151 00 0.50.4
Khvicha Kvaratskhelia FWL 2113 01 0.31.1
Désiré Doué Sub 2113 00 0.30.2
Ferrán Torres Sub 299 00 0.40.0
Kirill Danilov DC 190 00 0.00.0
Matvey Kislyak DMC 190 00 0.10.0
Vladislav Torop GK 190 00 0.00.0
Matheus Reis DL 190 00 0.00.0
João Victor DC 190 00 0.00.0
Milan Gajic DR 190 00 0.00.0
João Neves MC 190 00 0.20.1
Daniil Krugovoy MR 167 00 0.00.0
Beraldo DC 165 00 0.00.0
Ivan Oblyakov MC 165 00 0.10.0
Dimitri Barinov MC 165 00 0.10.0
Kirill Glebov ML 159 00 0.10.1
Luciano Gondou FW 159 00 0.00.2
Mika Godts Sub 244 01 0.10.1
Tamerlan Musaev Sub 131 00 0.00.0
Matija Popovic Sub 131 00 0.10.0
Danila Kozlov Sub 125 00 0.00.0
Matheus Alves Sub 125 00 0.00.0
Lucas Hernández DL 124 00 0.00.0

Every player with a match on record for the club this season, most minutes first. Figures from the match records; no squad list is entered by hand.

Recent matches

DateOpponentScore xGResult
4 Sep 26 H Monaco 1–2 2.52–0.60 L analysis →
28 Aug 26 A Lille 2–2 1.78–1.16 D analysis →
23 Aug 26 H Rennes 0–0 0.63–0.91 D analysis →
30 May 26 H Arsenal 1–1 0.00–0.00 D analysis →
17 May 26 A Paris FC 1–2 0.86–2.33 L analysis →
13 May 26 A Lens 2–0 0.94–3.04 W analysis →
10 May 26 H Brest 1–0 1.61–0.12 W analysis →
6 May 26 A Bayern Munich 1–1 0.00–0.00 D analysis →
3 May 26 H Lorient 2–2 2.98–1.28 D analysis →
28 Apr 26 H Bayern Munich 5–4 0.00–0.00 W analysis →
25 Apr 26 A Angers 3–0 3.00–0.98 W analysis →
22 Apr 26 H Nantes 3–0 2.26–0.67 W analysis →
19 Apr 26 H Lyon 1–2 3.20–1.20 L analysis →
14 Apr 26 A Liverpool 2–0 0.00–0.00 W analysis →
8 Apr 26 H Liverpool 2–0 0.00–0.00 W analysis →
3 Apr 26 H Toulouse 3–1 1.73–0.10 W analysis →
21 Mar 26 A Nice 4–0 4.04–0.18 W analysis →
17 Mar 26 A Chelsea 3–0 0.00–0.00 W analysis →
11 Mar 26 H Chelsea 5–2 0.00–0.00 W analysis →
6 Mar 26 H Monaco 1–3 1.22–1.75 L analysis →
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What this page is for

Everything the model knows about a single team, gathered in one place — how they have been playing, what is coming up, and the numbers the predictions on every other page are being built from.

How to read the form

Recent results are the visible part; the goals and expected goals underneath them are the part that matters. A side winning while being outshot is a side the model expects to stop winning, and the gap between what they scored and what they were expected to score is the single most useful thing on this page.

Things to watch

Form figures are rolling averages over recent matches, so they are slow to notice a change and quick to be distorted by one strange result. Early in a season there is not enough behind them to lean on.

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