DEMO MODE — model picks, EDGE & anything tagged “Sample” are sample data · Data tagged “SportsDataIO” is from the live feed
LIVE DATA: games, scores, injuries, player stats & odds marked “SportsDataIO” come from SportsDataIO · last synced 4 min ago · Free-trial data: values may be scrambled and/or delayed. Not for decision-making. · Odds are informational only · Model picks remain SAMPLE
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 · Prop · 70%+ confidence
Published
7
7 sample
Wins
4
Losses
3
All included
Pushes
0
Pending
0
Awaiting final result
Hit rate
57.1%
Wins ÷ (wins + losses)

Daily results & cumulative hit rate

Sample

By prediction type

Sample

Pending: published, awaiting result (0)

Sample

No pending predictions for these filters.

Graded predictions (most recent)

Sample
GradedSportMatchupTypePickConfidenceResult
Sep 18, 2026NBABoston Celtics vs Oklahoma City ThunderPROPTrey Vance Over 27 Points82%WIN
Sep 16, 2026NBAOklahoma City Thunder vs Golden State WarriorsPROPOwen Hayes Under 20.5 Points70%LOSS
Sep 13, 2026NBABoston Celtics vs Los Angeles LakersPROPPlayer prop (sample) — Points75%LOSS
Aug 20, 2026NBAOklahoma City Thunder vs Golden State WarriorsPROPPlayer prop (sample) — Points71%WIN
Jul 31, 2026NBABoston Celtics vs New York KnicksPROPPlayer prop (sample) — Points74%WIN
Jun 26, 2026NBADenver Nuggets vs Golden State WarriorsPROPPlayer prop (sample) — Points73%WIN
Jun 20, 2026NBANew York Knicks vs Los Angeles LakersPROPPlayer prop (sample) — Points82%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.