🇵🇹 Portuguese Primeira Liga
Famalicao vs Maritimo
Aug 16, 07:30 PM
1 – 2
Famalicao vs Maritimo
Match Result
Famalicao Home Win→Maritimo Away Win
Over/Under 2.5
Under 2.5 2.5→3 (Over 2.5)
Both Teams Score
BTTS: Yes→BTTS: Yes
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.→
Famalicao Home Win
63%
Predicted score: 2-0
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.→
Famalicao 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).→
Under 2.5 2.5
55%
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: Yes
51%
Confidence: SOLID.
2Most Likely Scores
Pre-match Outlook
Goalence's Pi-Ratings model gives Famalicao a clear edge against Maritimo in Portuguese Primeira Liga — 63% confidence (SOLID tier) with an expected scoreline of 2-0.
Both teams are projected to score (51% BTTS yes), suggesting an open contest where neither defense fully shuts down the opponent.
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.
Famalicao vs Maritimo — Famalicao Home Win: 63%.
Predictions are produced by statistical models and cannot be guaranteed. Use as reference only.