Live predictor
analytics.
Real-time intelligence on 27 players and 540 predictions — crowd instinct versus the Algomine model, visualised.
Intelligence duel
Crowd
55.9%
Algomine model
61.9%
Model leads by 6pp.
27
+0 today
540
+0 today
66.7%
active players
0
97 finished
20
per player
12.6%
hit rate
Accuracy intelligence
Cumulative crowd vs model performance on finished fixtures
Pick distribution
How the crowd is calling outcomes
Activity pulse
Sign-ups and predictions — last 14 days
Group engagement
Predictions by World Cup group
Points spread
Player score distribution
Outcome accuracy
Crowd hit-rate when the actual result was home, draw, or away
Model vs crowd — hot fixtures
Algomine probabilities alongside collective player sentiment
Predictive insights
Model leading the crowd
The Algomine model (61.9%) is ahead of players (55.9%) — instinct is trailing the data so far.
Crowd bias
Home wins dominate picks at 53.5% of all predictions.
Exact score difficulty
Only 12.6% of predicted scorelines have been exact (25 of 199 attempts).
Engagement
66.7% of registered players have made at least one prediction. Average 20 picks per player.
Leaderboard
- 1 Joshua 54.8% 175
- 2 Mugambi Alois 53.7% 154
- 3 Gilbert 59% 145
- 4 Marygoretti 53.8% 129
- 5 Steve 66.7% 114
- 6 Brian Kailemia 54.5% 74
- 7 Abala Allan 54.8% 69
- 8 Mutuma 42.9% 18
- 9 James Andayi 57.1% 12
- 10 James Lenku 100% 3
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