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 2 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: All sports · Last 7 Days · Total · 70%+ confidence
Published
8
8 sample
Wins
3
Losses
5
All included
Pushes
0
Pending
0
Awaiting final result
Hit rate
37.5%
Wins ÷ (wins + losses)

Daily results & cumulative hit rate

Sample

By sport

Sample

Pending: published, awaiting result (0)

Sample

No pending predictions for these filters.

Graded predictions (most recent)

Sample
GradedSportMatchupTypePickConfidenceResult
Sep 27, 2026CBBUConn Huskies vs Kansas JayhawksTOTALOver 156.579%LOSS
Sep 26, 2026MLBNew York Yankees vs Houston AstrosTOTALOver 1072%LOSS
Sep 26, 2026CFBOregon Ducks vs Texas LonghornsTOTALOver 73.570%WIN
Sep 26, 2026NFLPhiladelphia Eagles vs Dallas CowboysTOTALOver 51.574%LOSS
Sep 26, 2026CFBAlabama Crimson Tide vs Oregon DucksTOTALOver 7280%LOSS
Sep 25, 2026NHLDallas Stars vs Florida PanthersTOTALOver 6.576%LOSS
Sep 24, 2026NBANew York Knicks vs Los Angeles LakersTOTALOver 22971%WIN
Sep 22, 2026NHLFlorida Panthers vs Dallas StarsTOTALOver 6.582%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.