Live predictor
analytics.
Real-time intelligence on 15 players and 255 predictions — crowd instinct versus the Algomine model, visualised.
Intelligence duel
Crowd
47.9%
Algomine model
52.6%
Model leads by 4.7pp.
15
+0 today
255
+3 today
73.3%
active players
52
19 finished
17
per player
12.9%
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 (52.6%) is ahead of players (47.9%) — instinct is trailing the data so far.
Crowd bias
Home wins dominate picks at 52.9% of all predictions.
Exact score difficulty
Only 12.9% of predicted scorelines have been exact (4 of 31 attempts).
Next hot fixture
ENG v CRO has 6 picks. Crowd favours ENG — aligned with the model.
Engagement
73.3% of registered players have made at least one prediction. Average 17 picks per player.
Leaderboard
- 1 Joshua 47.1% 28
- 2 Mugambi Alois 53.8% 25
- 3 Gilbert 40% 18
- 4 Steve 80% 12
- 5 Marygoretti 37.5% 9
- 6 James Andayi 60% 9
- 7 Abala Allan 42.9% 9
- 8 James Lenku 100% 3
- 9 Amos Muriuki 0
- 10 Kamotho 0
Powered by Algomine
Think you can beat the model?
Join 15 players calling every match. Free to play — top scorer wins a national-team jersey.
Enter the predictor