AJ Auxerre vs Paris FC

AJ Auxerre
#14 · 10 pts
0–1
Full time
Half-time 0–0
Paris FC
#3 · 20 pts

AI prediction · locked November 5, 2026 6:00 pm

Auxerre 41%Draw 27%Paris FC 32%
Over 2.545%
Both score50%
Model goals1.32–1.15

Model pick 1–0

Result after 90 minutes: 0–1. The model tipped 1–0 and scored 0 points.

Most likely scores

1–1 · 12.8%1–0 · 11.1%0–1 · 9.7%2–1 · 8.5%0–0 · 8.4%1–2 · 7.4%

Why

The model expects Auxerre to score 1.32 goals: league home average 1.70 × Auxerre home attack 0.88 × Paris FC away defence 0.88.

It expects Paris FC to score 1.15 goals: league away average 1.33 × Paris FC away attack 0.89 × Auxerre home defence 0.97.

Based on 4 home games for Auxerre, 4 away games for Paris FC and 81 finished matches in the competition.

Attack above 1.00 means scoring more than the league average; defence above 1.00 means conceding more than average (weaker).

Most likely outcome: Auxerre (41%). This is an estimate, not a certainty.

Form & stats this competition season

AuxerreParis FC
Table position#14 · 10 pts#3 · 20 pts
Last 5 (newest first)LLDWLWWLWL
Home W-D-L (goals)2-1-2 (5:6)4-1-0 (12:5)
Away W-D-L (goals)1-0-4 (8:18)2-1-2 (5:5)
Goals per game at home (for/against)1.00 / 1.202.40 / 1.00
Goals per game away (for/against)1.60 / 3.601.00 / 1.00
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 1.63 home and 1.32 away goals per match (90 finished matches).

Model assumptions & limitations

Assumptions

  • Goals for each team follow independent Poisson distributions.
  • Expected goals (λ) = league average home/away goals × attack strength × opponent defence strength.
  • Strengths use only this competition and season: home form for the home side, away form for the away side. If either team has too few home/away games, overall form (all games) is used instead and this is stated in the explanation.
  • Strengths are shrunk towards the league average when few games have been played.
  • Predictions are for the score after regular time (90 minutes plus stoppage time).
  • The model's tipped score is the one with the highest expected points under the game's scoring system, not necessarily the most likely single score.

Limitations

  • No injuries, suspensions, line-ups, transfers, rotation or motivation are considered.
  • No xG or shot data is used – the current data source does not provide it.
  • Results in other competitions (e.g. domestic league for Champions League teams) are not included.
  • Independent Poisson models tend to slightly underestimate draws.
  • Probabilities are estimates with considerable uncertainty, not facts or guarantees.

More Ligue 1 matches