International Friendlies
Niger vs Mauritania
Jun 05, 12:00 PM
0 – 1
Niger vs Mauritania
Match Result
Niger Home Win→Mauritania Away Win
Over/Under 2.5
Under 2.5 2.5→1 (Under 2.5)
Both Teams Score
BTTS: No→BTTS: No
Recorded before kickoff · never revised after
Normal 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.→Niger Home Win
49%
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.→
Niger Home Win
49%
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
65%
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
60%
Confidence: Normal.
2Most Likely Scores
Pre-match Outlook
Niger enter this International Friendlies fixture with a measured advantage over Mauritania (49% confidence, Normal tier) and a projected 1-0 result.
In this International Friendlies context, small swings in form or selection can flip the projection — treat the moderate-confidence pick as a starting point rather than a lock.
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.
Niger vs Mauritania — Niger Home Win: 49%.
Predictions are produced by statistical models and cannot be guaranteed. Use as reference only.