Transparency
Model Performance
Every published prediction, tracked from publication to final result. Sample history — demo data
Tracking policy: every prediction Vextiq publishes is logged when it’s published and tracked to its eventual result: pending, win, loss or push. Losing predictions are never deleted, hidden or excluded from these numbers, and graded results can’t be edited. Predictions for cancelled games are marked void and shown separately. Hit rate = wins ÷ (wins + losses).
Showing: College Basketball · Last 30 Days · All types · 70%+ confidence
Published
10
10 sample
Wins
3
Losses
6
All included
Pushes
1
Pending
0
Awaiting final result
Hit rate
33.3%
Wins ÷ (wins + losses)
Daily results & cumulative hit rate
SampleBy prediction type
SamplePending: published, awaiting result (0)
SampleNo pending predictions for these filters.
Graded predictions (most recent)
Sample| Graded | Sport | Matchup | Type | Pick | Confidence | Result |
|---|---|---|---|---|---|---|
| Sep 27, 2026 | CBB | UConn Huskies vs Kansas Jayhawks | TOTAL | Over 156.5 | 79% | LOSS |
| Sep 18, 2026 | CBB | Duke Blue Devils vs Kansas Jayhawks | MONEYLINE | Duke ML | 73% | LOSS |
| Sep 16, 2026 | CBB | Kansas Jayhawks vs UConn Huskies | PROP | Xavier Mills Under 20 Points | 70% | LOSS |
| Sep 13, 2026 | CBB | Kansas Jayhawks vs Duke Blue Devils | MONEYLINE | Kansas ML | 81% | LOSS |
| Sep 6, 2026 | CBB | Duke Blue Devils vs Kansas Jayhawks | SPREAD | Duke -3 | 73% | LOSS |
| Sep 5, 2026 | CBB | Duke Blue Devils vs UConn Huskies | SPREAD | Duke -2 | 71% | LOSS |
| Sep 2, 2026 | CBB | Duke Blue Devils vs Kansas Jayhawks | MONEYLINE | Duke ML | 76% | WIN |
| Sep 2, 2026 | CBB | UConn Huskies vs Kansas Jayhawks | SPREAD | UConn -4 | 73% | PUSH |
| Aug 30, 2026 | CBB | Duke Blue Devils vs UConn Huskies | SPREAD | Duke -3 | 74% | WIN |
| Aug 29, 2026 | CBB | Duke Blue Devils vs UConn Huskies | TOTAL | Under 160.5 | 77% | WIN |
Past model performance does not guarantee future performance. Sports outcomes are unpredictable. The seeded history is SAMPLE data for demonstration and doesn’t reflect real-world results. Grading from a live data provider is prepared (lib/grading.ts) but not yet connected.
ⓘ Confidence percentages are model confidence and do not guarantee an outcome.