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: NBA · Season · Spread · 60–69% confidence
Published
8
8 sample
Wins
3
Losses
3
All included
Pushes
0
Pending
2
Awaiting final result
Hit rate
50%
Wins ÷ (wins + losses)
Daily results & cumulative hit rate
SampleBy prediction type
SamplePending: published, awaiting result (2)
Sample| Published | Game time | Sport | Matchup | Type | Confidence | Status |
|---|---|---|---|---|---|---|
| Sep 27, 2026 | Mon, Sep 28, 7:00 PM CDT | NBA | Oklahoma City Thunder vs Golden State Warriors | SPREAD | 61% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 6:30 PM CDT | NBA | Boston Celtics vs Los Angeles Lakers | SPREAD | 60% | PENDING |
Picks stay hidden here until game time so they don’t undercut members’ access. Each one is graded here once its game is final.
Graded predictions (most recent)
Sample| Graded | Sport | Matchup | Type | Pick | Confidence | Result |
|---|---|---|---|---|---|---|
| Sep 22, 2026 | NBA | Boston Celtics vs Golden State Warriors | SPREAD | Boston -4 | 61% | LOSS |
| Sep 11, 2026 | NBA | Boston Celtics vs New York Knicks | SPREAD | Boston -4.5 | 65% | LOSS |
| Sep 1, 2026 | NBA | Denver Nuggets vs Los Angeles Lakers | SPREAD | Denver -3 | 60% | WIN |
| Aug 14, 2026 | NBA | New York Knicks vs Oklahoma City Thunder | SPREAD | New York +7 | 61% | WIN |
| Jul 23, 2026 | NBA | Denver Nuggets vs Oklahoma City Thunder | SPREAD | Denver +1.5 | 69% | WIN |
| Jun 1, 2026 | NBA | New York Knicks vs Denver Nuggets | SPREAD | New York +2.5 | 66% | LOSS |
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.