🇺🇦 Ukrainian Premier League · Regular Season - 13
Livyi Bereh vs Shakhtar Donetsk
Nov 21, 04:00 PM · Arena Livyi Bereg
✓ Recorded before kickoffSOLID 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.→
Shakhtar Donetsk Away Win
66%
Predicted score: 0-1
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.→
Shakhtar Donetsk Away Win
66%
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
86%
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
59%
Confidence: SOLID.
2Most Likely Scores
3Drama Profile
How both teams have handled pressure across the season.
Historical pattern, informational only.
Pre-match Outlook
Goalence's Pi-Ratings model gives Shakhtar Donetsk a clear edge against Livyi Bereh in Ukrainian Premier League — 66% confidence (SOLID tier) with an expected scoreline of 0-1.
The model favors a one-sided sheet — BTTS no at 59% — 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.
Livyi Bereh vs Shakhtar Donetsk — Shakhtar Donetsk Away Win: 66%.
Predictions are produced by statistical models and cannot be guaranteed. Use as reference only.