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: MLB · Last 30 Days · Moneyline · All confidence
Published
8
8 sample
Wins
5
Losses
1
All included
Pushes
0
Pending
2
Awaiting final result
Hit rate
83.3%
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, 6:10 PM CDT | MLB | Houston Astros vs Atlanta Braves | MONEYLINE | 55% | PENDING |
| Sep 27, 2026 | Mon, Sep 28, 9:10 PM CDT | MLB | Los Angeles Dodgers vs New York Yankees | MONEYLINE | 59% | 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 24, 2026 | MLB | New York Yankees vs Atlanta Braves | MONEYLINE | New York ML | 64% | WIN |
| Sep 21, 2026 | MLB | Houston Astros vs Atlanta Braves | MONEYLINE | Houston ML | 63% | WIN |
| Sep 12, 2026 | MLB | New York Yankees vs Houston Astros | MONEYLINE | New York ML | 59% | WIN |
| Sep 5, 2026 | MLB | Los Angeles Dodgers vs Houston Astros | MONEYLINE | Los Angeles ML | 81% | WIN |
| Sep 2, 2026 | MLB | Los Angeles Dodgers vs Atlanta Braves | MONEYLINE | Los Angeles ML | 57% | WIN |
| Sep 1, 2026 | MLB | Houston Astros vs New York Yankees | MONEYLINE | Houston ML | 56% | 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.