MLB Analytics · Proprietary Model
About FastballHQ
The smartest MLB analytics engine on the internet — built for bettors, fans, and data obsessives who demand more than gut feelings.
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What Is FastballHQ?
FastballHQ is an advanced MLB analytics platform that processes scheduled games through a proprietary machine-learning model — condensing many baseball and market inputs into a single, readable FQ Score and related signals. We emphasize clarity for users, not a spreadsheet of raw features.
We focus on game totals (Over/Under), first-five context, and market line movement — delivering daily pre-game analysis updated automatically each morning before first pitch.
Our Proprietary ML Model
The FastballHQ scoring engine is built in-house. Each game is evaluated using a broad set of public baseball and market inputs, organized into areas such as pitching and run prevention, team offense and recent form, first-inning and early-game context, totals and line movement, travel and schedule load, and historical matchup context. Feature design, weights, and model structure are proprietary—we publish scores and signals, not the full recipe.
- Pitching & defense — starter quality, workload, and how offenses tend to perform in comparable spots.
- Run environment — scoring trends, home/road splits, and how games have been finishing versus market totals.
- First inning & early game — early scoring context summarized as published scores.
- Market context — how totals and lines evolve as information is priced in.
- Situational factors — rest, travel, and series position at a high level.
The headline output is a signed FQ Score — positive leans Over, negative leans Under. Stronger magnitude means more of those buckets line up in the same direction. Over/Under games that clear our published qualifying threshold surface as Editor's Picks — see the FAQ for how those cutoffs work.
Editor's Picks
Each slate day, our team can publish a ranked set of match-total leans (Over/Under) with frozen lines for the site. Explore the board:
FQ Score Explained
The FQ Score is FastballHQ's core published metric — a signed momentum read per game: positive values lean Over the listed total; negative values lean Under. Magnitude reflects how far the model sits from neutral for that matchup. It is designed to be readable at a glance while the underlying math stays proprietary.
When the score crosses our published qualifying threshold, a signal label appears — Over or Under on the picks board. Most games sit below that bar, which simply means no highlighted lean is published. The exact mapping from inputs to the number is not disclosed.
Signals include: Over · Under · None (no strong lean).
Full Transparency: Track Record
We publish every qualified pick and grade it against the final result — publicly, in real time. No cherry-picking. No selective memory. If you want to verify the model works before you trust it, the data is right there:
MLB Team Intelligence
Dig deeper into any MLB franchise: season totals, run-scoring trends by home/road, pitcher rotation data, and FQ Score history. We track all 30 teams, updated daily.
Who Is FastballHQ For?
- MLB bettors who want data-backed angles, not random tipster hot takes.
- DFS players looking for pitching trends and run environment analysis.
- Baseball fans who love diving deep into stats before game time.
- Analytical minds who prefer model outputs over media narratives.
FastballHQ is a purely informational and analytical service. We don't take bets. We don't offer subscriptions. We publish data-driven analysis — what you do with it is your call. Read our full disclaimer →