Live · validated vs real book lines
MLB Batter Runs Scored · UNDERs
MLB
82.2%
A quantitative picks service built on the data the books underweight — referee tendencies, injury timing, scheduling friction, and our own model of every game on the board.
Every box score, every official assignment, every late-breaking injury — across 4,700+ games of training data including the full 2025 baseball season. We pull from ESPN, the MLB Stats API, and league play-by-play feeds.
Most picks services chase the sportsbook's number. We build our own — a regularized regression that estimates each game's margin and total distribution, then compares to the book's price to find the edge.
Extreme edges usually mean the model is missing context. We only fire a pick when our edge falls inside a validated sweet-spot band — calibrated quarterly on past data, tested forward.
Every market is re-validated walk-forward against real book lines, and we hold ourselves to a hard rule: nothing ships below a 60% validated hit rate with a positive juice-aware ROI against the line. Markets that stop clearing that bar get paused automatically — even popular ones. Our strongest live pockets right now are the MLB batter UNDERs — Runs Scored (82.2%), Total Bases (72.0%), and Hits (70.7%) — alongside the MLB Moneyline divisional-favorite band (76.0%), NBA Points-Rebounds-Assists OVERs (69.2%), and the structural MLB Run Line +1.5 dog (63.2%) that drives our daily game-line volume. In June 2026 we paused several once-headline markets — NBA Player Points and Assists UNDERs, the NBA Spread, and MLB Pitcher Strikeouts — after full-history real-line audits showed they no longer clear the bar, despite attractive-looking labels. We will not ship a market we cannot stand behind. No market ships without real-line walk-forward validation, a positive juice-aware ROI, and a Wilson 95% lower bound clearing break-even.
Receipts. Every pick we've shipped, captured at blast time with the line + price + book in our pick-store, then auto-graded against the actual game outcome via box-score APIs. No cherry-picking, no retroactive validation. The CLV system also captures each pick's closing line for sharp-money beat-rate.
scripts/grade_picks.py against ESPN box scores + MLB Stats API. Auto-recap fires nightly with auto-enrichment (no human cherry-picking).Most picks services chase the sportsbook line. We model the underlying game from real data — referee tendencies, injury timing, scheduling, pitcher matchup — that books underweight. We only fire when our edge is in a k-fold-validated sweet-spot range and validate every claim against multi-book closing lines via The Odds API. When we don't have edge, we say nothing.
They happen, and we don't hide them. Our worst stretch in this window was 0–3 over four days. The honest measure is ROI across hundreds of picks, not any one week. Bet sized small enough that a 5-game cold spell doesn't hurt.
Yes — every Sharp and Pro member sees the same picks, at the same time. Pro adds a private dashboard, exportable history, and a direct Telegram line to the desk. We cap seats at Pro so the edge isn't blown out by volume.
No. We are an information service. Subscribers place their own bets through licensed sportsbooks. We never accept wagers, hold funds, or move money beyond the subscription itself. Our only revenue is the membership.
Six weeks in and I'm up 8 units flat — first picks service that actually shows the math. Love that they say nothing on a slow night instead of forcing a play.
Came from another picks app that was obvious chase-the-line garbage. Shenandoah's NHL totals run is the most consistent edge I've seen in three years of trying these.
The edge breakdown on each pick is what sold me. I can see why they like the over before I bet it. Telegram line on Pro tier is gold for late breaking injury news.
Whether you're considering a Pro seat, working on a story about the methodology, or just want a real human to walk you through the edge — we'd rather talk than not. The desk is small and we read every note.
