OddsIQ
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A sports analytics company

Data. Analytics. Research. Predictions.

We turn raw odds and game data into niche analytics dashboards, citation-grade research, and \u2014 eventually \u2014 model-based predictions.

Tools, glossary, dashboards: free forever. Research papers: \u00e0 la carte. Predictions: ship only when the model is provably sharp.

One short email when new research, dashboards, or predictions ship. Unsubscribe anytime.
1

Data

The raw inputs we ingest
Sportsbooks tracked
40+
ML, spreads, totals across regions
Closing-line snapshots
12K+
MLB depth back to 2023; NBA from 2026
Graded picks logged
2,877
MLB + NBA combined, multi-version
Total odds snapshots
63K+
Across MLB, NBA \u2014 ingested + cleaned
Live odds across 40+ books via The Odds API. Game-level data from MLB Stats API and NBA Stats API. Statcast pitch-level data. Park factors and weather. MLB has multi-season depth (2023\u2025); NBA is newer (2026\u2014) and still accumulating. Every input gets normalized, deduplicated, and timestamped \u2014 ready to feed dashboards, papers, and models. Full source list \u2192
2

Analytics

What we build with the data — all free
3

Research

Original papers, ad-hoc \u2014 \u00e0 la carte, never bundled
Paper #1In active drafting

Closing Line Value Is the Metric That Matters: A 2,682-Pick MLB Empirical Study

The folkloric claim that CLV predicts ROI, tested on 2,682 graded MLB picks across three independent model versions. Headline finding: CLV explains roughly 2.5× more variance in cohort ROI than win rate (R² 0.49 vs 0.20).

Get on launch list
Paper #2 \u2014 planned
CLV → ROI (NBA)
Replicating the 2,682-pick MLB study on 3,708 graded NBA picks across two model versions. Does the 2.5× CLV-vs-win-rate ratio hold in basketball, where line movement is faster and public-money steam is heavier?
Paper #3 \u2014 planned
NRFI Inefficiencies
Quantifying the gap between first-inning ERA and full-season ERA across pitcher types — and the systematic over-pricing of NRFI on starters with reverse splits.
Paper #4 \u2014 planned
The 3-Run Threshold
Books over-juice unders on totals ≤7.5 by a measurable margin. Three seasons of Statcast + closing line data show the historical bettor edge.
$5–9 per paper. Enterprise licensing $500–$5K per paper. No subscriptions. Free executive summaries forever.
All research \u2192
4

Predictions

The OddsIQ Pro tier \u2014 ships when proven sharp
Honest framing
We won't ship picks until they're proven sharp

The MLB model is in development. Once a live paper-trade proves it consistently beats the closing line, OddsIQ Pro launches at $9.99/month: model picks, per-pitcher and per-team deep dives, calibration plots, edge alerts. Track record stays public forever \u2014 even after the picks go behind the paywall.

Model picks (soon)
MLB ships first. NBA follows once both are independently proven sharp.
Pro analytics deep dives
Per-pitcher, per-team, per-prop breakdowns. Calibration plots. Version performance.
Live edge alerts
When a line moves into your target range, we ping you. Email or push.
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