Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.
| # | Action | Pick | Matchup | Type | Line | Score | Tier | Clean | Fit | Result |
|---|---|---|---|---|---|---|---|---|---|---|
| 1326 | Miguel Vargas CWS | CLE @ CWS | Runs | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1327 | Miguel Vargas CWS | CLE @ CWS | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1328 | Nelson Velazquez STL | ARI @ STL | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1329 | Nick Fortes TB | KC @ TB | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1330 | Nolan Arenado AZ | ARI @ STL | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1331 | Riley Greene DET | NYY @ DET | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1332 | Samuel Basallo BAL | BAL @ LAA | Runs | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1333 | Steven Kwan CLE | CLE @ CWS | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1334 | Taylor Ward BAL | BAL @ LAA | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1335 | Tyler O'Neill BAL | BAL @ LAA | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1336 | William Contreras MIL | MIL @ CIN | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1337 | Zach McKinstry DET | NYY @ DET | Hits | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1338 | Zach McKinstry DET | NYY @ DET | Runs Batted In | 1.5 | 1.6 | D | 9.2 | -5 | Pending | |
| 1339 | Zach McKinstry DET | NYY @ DET | Total Bases | 1.5 | 1.6 | D | 9.2 | -5 | Pending |
A unified ranking engine that scores every pick on a 0–100 scale — props, sides, and totals on one board.
The Nex Engine doesn't just find edges — it ranks them. Every candidate pick runs through a four-layer scoring system that weighs the raw data, the play type's historical reliability, role stability, and how well it fits a winning daily card. The result is a single number that tells you exactly where each play stands relative to every other play on the board.
The 4 Scoring Dimensions
Raw Edge (50% weight) — The foundation. For props, this measures hit rate vs. the line, projected stat edge, minutes security, role stability, and usage opportunity. For sides, it factors injury edge, home court advantage, team strength gaps, recent form, and market alignment. This is where the pure data advantage lives.
Play-Type Trust — Not all play types are created equal. Moneylines on home favorites, star player rebounds, and small spreads have historically higher conversion rates — so they score higher. Role-player 3PM props and large spreads get docked because the variance is too high. This layer filters out plays that look good on paper but don't cash consistently.
Cleanliness — A stability check. Star players with locked-in minutes and defined roles score higher. Bench players, blowout-risk games, injury-dependent usage bumps, and hot-shooting reliance all get penalized. Clean plays are repeatable plays.
Card Fit — Built for daily card construction. This layer favors the pick types that historically perform on daily cards — moneylines, star rebounds and assists, tight spreads. It deprioritizes picks that might have edge in isolation but don't build well into a cohesive card.
Reading the Board
Score 75+ — Elite territory. These plays have strong edge across all four dimensions. The engine's highest conviction picks.
Score 65–74 — Strong plays with solid fundamentals. Multiple dimensions are firing and the overall profile is clean.
Score 55–64 — Above average. The edge is there, but one or two dimensions may be weaker. Still viable, especially in combination with other signals.
Below 55 — Below the recommended threshold. The engine sees some edge but not enough to rank it as a confident play.
The Nex Board rebuilds automatically as new odds and stats flow in. Scores and rankings can shift throughout the day as the market moves.