Toulouse FC vs RC Strasbourg Alsace

Toulouse FC
#12 · 10 pts
vs
Scheduled
RC Strasbourg Alsace
#13 · 10 pts

AI prediction · locked November 4, 2026 10:42 pm

Toulouse 42%Draw 24%Strasbourg 34%
Over 2.559%
Both score61%
Model goals1.62–1.43

Model pick 2–1

Most likely scores

1–1 · 11.0%2–1 · 8.9%1–2 · 7.8%1–0 · 7.7%0–1 · 6.8%2–2 · 6.3%

Why

The model expects Toulouse to score 1.62 goals: league home average 1.70 × Toulouse home attack 0.75 × Strasbourg away defence 1.26.

It expects Strasbourg to score 1.43 goals: league away average 1.33 × Strasbourg away attack 1.10 × Toulouse home defence 0.97.

Based on 4 home games for Toulouse, 5 away games for Strasbourg 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: Toulouse (42%). This is an estimate, not a certainty.

What the AIs predict

Every AI got exactly the same data and locked its pick before kickoff.

Claude2–1Locked
Toulouse 42% · draw 26% · Strasbourg 32% · over 2.5 52%

Toulouse have a modest home edge, though their home record is only 1-1-2. Strasbourg have won only one away game and concede 2.11 per match, so a narrow Toulouse win with both sides scoring is the most likely outcome. The competition's 59% over-2.5 rate supports a two-goal total.

ChatGPT1–1Locked
Toulouse 36% · draw 31% · Strasbourg 33% · over 2.5 45%

Both teams are near level in the table and on 10 points. Toulouse are stronger at home than Strasbourg away, but neither side has been consistent. Toulouse’s home games are low-scoring; Strasbourg’s recent results suggest goals but also vulnerability.

AI reasoning is generated by each model from the data shown on this page and may contain mistakes.

Form & stats this competition season

ToulouseStrasbourg
Table position#12 · 10 pts#13 · 10 pts
Last 5 (newest first)LDWDWWLLLL
Home W-D-L (goals)1-1-2 (3:5)2-1-1 (9:6)
Away W-D-L (goals)1-3-1 (9:8)1-0-4 (8:13)
Goals per game at home (for/against)0.75 / 1.252.25 / 1.50
Goals per game away (for/against)1.80 / 1.601.60 / 2.60
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 1.70 home and 1.33 away goals per match (81 finished matches).

Schedule, form & head-to-head

ToulouseStrasbourg
Days since last match55.2
Matches in last 14 days22
Next match+15 d: @ RC Lens (FL1)+15 d: vs Brest (FL1)
Points per game, last 5 (all comps)1.600.60
Clean sheets / failed to score (this comp)2 / 4 (9)0 / 2 (9)
Over 2.5 / both scored (this comp)5 / 4 (9)8 / 7 (9)

Toulouse – recent matches, all competitions: L @ Marseille 0–2 · D vs Troyes 0–0 · W @ Le Mans 3–0 · D @ Monaco 2–2 · W vs Le Havre 3–2 · D @ Lorient 2–2

Strasbourg – recent matches, all competitions: W vs Auxerre 5–1 · L @ Stade Rennais 0–3 · L vs PSG 1–3 · L @ Nice 1–2 · L @ Paris FC 1–2 · D vs Monaco 1–1

Head-to-head

Last 9 meetings: Toulouse 3 wins, 2 draws, Strasbourg 4 wins · 2.22 goals per game.

Only the six tracked competitions count; domestic cups are not included.

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.

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