LASK Linz vs ŠK Slovan Bratislava

LASK Linz
#16 · 6 pts
4–0
Full time
Half-time 3–0
ŠK Slovan Bratislava
#36 · 0 pts

AI prediction

No model prediction was made for this match.

Form & stats this competition season

LASKSl. Bratislava
Table position#16 · 6 pts#36 · 0 pts
Last 5 (newest first)WWLLLLLL
Home W-D-L (goals)1-0-1 (7:6)0-0-1 (0:3)
Away W-D-L (goals)1-0-1 (3:3)0-0-3 (1:14)
Goals per game at home (for/against)3.50 / 3.000.00 / 3.00
Goals per game away (for/against)1.50 / 1.500.33 / 4.67
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 2.32 home and 1.72 away goals per match (72 finished matches).

Schedule, form & head-to-head

LASKSl. Bratislava
Days since last match1314
Matches in last 14 days10
Next match+20.9 d: @ Bodø/Glimt (CL)+21 d: vs Real Betis (CL)
Points per game, last 5 (all comps)1.000.00
Clean sheets / failed to score (this comp)1 / 1 (4)0 / 3 (4)
Over 2.5 / both scored (this comp)3 / 2 (4)4 / 1 (4)

LASK – recent matches, all competitions: W @ Sporting CP 3–2 · L vs Liverpool 3–6 · L @ PAE AEK 0–1

Sl. Bratislava – recent matches, all competitions: L @ Roma 0–4 · L vs Stuttgart 0–3 · L @ PSG 1–6

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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