📡 SCORES
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⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Apr 18 – May 1 →
Wins
42
Losses
58
Push
6
Win %
42%
Pending
0
Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Assists 6.5 OVER
75.3 B+
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
65
Clean
30
Fit
5
2
Rebounds 8.5 OVER
72.9 B
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
56
Clean
30
Fit
5
3
Points 19.5 OVER
72.4 B
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
64
Clean
30
Fit
4
4
Points 21.5 OVER
72.1 B
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
27.4
Fit
4

📋 Full Board (1489 picks · Page 14/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
326 Cam Smith HOU HOU @ BOS Home Runs 0.5 17.2 D 9.2 -5 Pending
327 Carlos Correa HOU HOU @ BOS Home Runs 0.5 17.2 D 9.2 -5 Pending
328 Isaac Paredes HOU HOU @ BOS Home Runs 0.5 17.2 D 9.2 -5 Pending
329 Yainer Diaz HOU HOU @ BOS Home Runs 0.5 17.2 D 9.2 -5 Pending
330 Yordan Alvarez HOU HOU @ BOS Home Runs 0.5 17.2 D 9.2 -5 Pending
331 Jarren Duran BOS HOU @ BOS Total Bases 1.5 17.2 D 9.2 -5 Pending
332 Andy Pages LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
333 Austin Riley ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
334 Dillon Dingler DET DET @ TEX Home Runs 0.5 17.1 D 9.2 -5 Pending
335 Drake Baldwin ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
336 Freddie Freeman LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
337 Hyeseong Kim LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
338 Jahmai Jones DET DET @ TEX Home Runs 0.5 17.1 D 9.2 -5 Pending
339 Jonah Heim ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
340 Kyle Tucker LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
341 Matt Vierling DET DET @ TEX Home Runs 0.5 17.1 D 9.2 -5 Pending
342 Mauricio Dubon ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
343 Michael Harris II ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
344 Miguel Rojas LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
345 Ronald Acuna Jr. ATL ATL @ LAD@STL Home Runs 0.5 17.1 D 9.2 -5 Pending
346 Santiago Espinal LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
347 Teoscar Hernandez LAD LAD @ STL Home Runs 0.5 17.1 D 9.2 -5 Pending
348 Jalen Duren DET ORL @ DET Rebounds 10.5 17.1 D 13.7 -5 Pending
349 Kyle Stowers MIA MIA @ PHI Total Bases 1.5 17 D 9.2 -5 Pending
350 Mickey Moniak COL ATL @ COL Hits 1.5 17 D 15.2 -5 Pending
Showing 326–350 of 1489 picks

Methodology

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.