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: NFL · Season · All types · 60–69% confidence
Published
28
28 sample
Wins
11
Losses
11
All included
Pushes
1
Pending
5
Awaiting final result
Hit rate
50%
Wins ÷ (wins + losses)
Daily results & cumulative hit rate
SampleBy prediction type
SamplePending: published, awaiting result (5)
Sample| Published | Game time | Sport | Matchup | Type | Confidence | Status |
|---|---|---|---|---|---|---|
| Sep 27, 2026 | Mon, Sep 28, 12:00 PM CDT | NFL | Baltimore Ravens vs Detroit Lions | PROP | 69% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 12:00 PM CDT | NFL | Baltimore Ravens vs Detroit Lions | MONEYLINE | 60% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 12:00 PM CDT | NFL | Philadelphia Eagles vs San Francisco 49ers | PROP | 69% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 7:20 PM CDT | NFL | Houston Texans vs Dallas Cowboys | PROP | 61% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 7:20 PM CDT | NFL | Houston Texans vs Dallas Cowboys | TOTAL | 63% | 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 25, 2026 | NFL | Buffalo Bills vs Detroit Lions | TOTAL | Over 60.5 | 64% | LOSS |
| Sep 25, 2026 | NFL | Baltimore Ravens vs Kansas City Chiefs | MONEYLINE | Baltimore ML | 66% | WIN |
| Sep 23, 2026 | NFL | Buffalo Bills vs Detroit Lions | TOTAL | Under 58 | 62% | WIN |
| Sep 23, 2026 | NFL | Philadelphia Eagles vs Houston Texans | TOTAL | Over 54 | 64% | WIN |
| Sep 21, 2026 | NFL | Kansas City Chiefs vs Baltimore Ravens | PROP | Tyler Lang Under 237.5 Passing Yards | 63% | WIN |
| Sep 17, 2026 | NFL | Detroit Lions vs Kansas City Chiefs | SPREAD | Detroit -1.5 | 69% | LOSS |
| Sep 14, 2026 | NFL | Dallas Cowboys vs San Francisco 49ers | TOTAL | Under 47.5 | 62% | LOSS |
| Sep 10, 2026 | NFL | Baltimore Ravens vs Detroit Lions | SPREAD | Baltimore +2 | 62% | LOSS |
| Aug 30, 2026 | NFL | Houston Texans vs Kansas City Chiefs | SPREAD | Houston -0.5 | 64% | LOSS |
| Aug 30, 2026 | NFL | San Francisco 49ers vs Houston Texans | MONEYLINE | San Francisco ML | 60% | WIN |
| Aug 29, 2026 | NFL | Buffalo Bills vs Dallas Cowboys | SPREAD | Buffalo -6.5 | 66% | LOSS |
| Aug 28, 2026 | NFL | Detroit Lions vs Kansas City Chiefs | SPREAD | Detroit -3.5 | 61% | LOSS |
| Aug 13, 2026 | NFL | Dallas Cowboys vs Philadelphia Eagles | SPREAD | Dallas +2 | 68% | LOSS |
| Aug 9, 2026 | NFL | Buffalo Bills vs Dallas Cowboys | SPREAD | Buffalo -6.5 | 61% | WIN |
| Aug 2, 2026 | NFL | Baltimore Ravens vs Kansas City Chiefs | PROP | Player prop (sample) — Passing Yards | 62% | LOSS |
| Jun 28, 2026 | NFL | Dallas Cowboys vs Buffalo Bills | SPREAD | Dallas +4.5 | 62% | PUSH |
| Jun 22, 2026 | NFL | Detroit Lions vs Houston Texans | SPREAD | Detroit -1 | 68% | LOSS |
| Jun 20, 2026 | NFL | Buffalo Bills vs Houston Texans | SPREAD | Buffalo -0.5 | 65% | WIN |
| Jun 10, 2026 | NFL | Detroit Lions vs Philadelphia Eagles | TOTAL | Under 54.5 | 60% | WIN |
| Jun 8, 2026 | NFL | San Francisco 49ers vs Detroit Lions | SPREAD | San Francisco +3.5 | 63% | WIN |
| Jun 6, 2026 | NFL | Baltimore Ravens vs San Francisco 49ers | SPREAD | Baltimore -2 | 63% | WIN |
| Jun 3, 2026 | NFL | Dallas Cowboys vs Detroit Lions | PROP | Player prop (sample) — Passing Yards | 62% | LOSS |
| Jun 2, 2026 | NFL | Detroit Lions vs Philadelphia Eagles | TOTAL | Under 54.5 | 60% | 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.