🏆 UEFA Champions League
Lech Poznan vs Aarhus
Jul 29, 05:00 PM
0 – 3
a.e.t. 1–4
Lech Poznan vs Aarhus
Match Result
Lech Poznan Home Win→Aarhus Away Win
Over/Under 2.5
Over 2.5 2.5→3 (Over 2.5)
Both Teams Score
BTTS: No→BTTS: No
Recorded before kickoff · never revised after
SOLID PREDICTION
Confidence ThresholdGoalence groups predictions into three tiers by the probability of the picked outcome: Elite (≥ 70%), Safe (55-70%), and Normal (< 55%). Accuracy is reported separately for each tier so users can see how the model performs at its strongest signal.→
Lech Poznan Home Win
63%
Predicted score: 1-0
1Outcome Probabilities
Match ResultMatch Result (1X2)The traditional outcome market: Home win (1), Draw (X), or Away win (2). Goalence outputs three probabilities summing to 100% for every fixture.→
Lech Poznan Home Win
63%
Over/Under 2.5Over/Under 2.5A prediction market that resolves Over if the total goals in the match are 3 or more, Under if 2 or fewer. Computed from Goalence's two lambdas: P(home_goals + away_goals ≥ 3).→
Over 2.5 2.5
51%
Both Teams ScoreBTTS — Both Teams To ScoreA prediction market that resolves Yes if both teams score at least one goal in the match, No otherwise. Goalence outputs a BTTS probability for every fixture by integrating the Poisson distribution over scorelines.→
BTTS: No
50%
Confidence: SOLID.
2Most Likely Scores
Pre-match Outlook
Goalence's Pi-Ratings model gives Lech Poznan a clear edge against Aarhus in UEFA Champions League — 63% confidence (SOLID tier) with an expected scoreline of 1-0.
The model favors a one-sided sheet — BTTS no at 50% — pointing toward at least one team being kept off the board.
How the Model Works
We use an iterative Pi-Ratings model: each team has separate home and away attack/defense ratings, updated after every match. Lambda values are converted to outcome probabilities via Poisson distribution. Match result, over/under, and BTTS predictions are all derived from a single coherent model.
Lech Poznan vs Aarhus — Lech Poznan Home Win: 63%.
Predictions are produced by statistical models and cannot be guaranteed. Use as reference only.