📡 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 |
← Jul 26 →
Wins
4
Losses
1
Push
1
Win %
80%
Pending
0
Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
2
Total Bases 1.5 OVER
50.6 C
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
20.7
Fit
0
3
Total Bases 2.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.6
Fit
0
4
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0

📋 Full Board (1426 picks · Page 36/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
876 Luis Campusano SD SD @ MIA Hits 1.5 3.9 D 9.2 -5 Pending
877 Luis Campusano SD SD @ MIA Total Bases 1.5 3.9 D 9.2 -5 Pending
878 Ty France SD SD @ MIA Runs 1.5 3.9 D 9.2 -5 Pending
879 Jake Cronenworth SD SD @ MIA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
880 Luis Campusano SD SD @ MIA Runs 1.5 3.6 D 9.2 -5 Pending
881 Luis Campusano SD SD @ MIA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
882 Shohei Ohtani LAD LAD @ NYM Total Bases 2.5 3.5 D 9.2 -5 Pending
883 A.J. Ewing NYM LAD @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
884 Alec Burleson STL CIN @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
885 Alex Bregman CHC CHC @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
886 Ali Sanchez NYY NYY @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
887 Amed Rosario NYY NYY @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
888 Andrew Benintendi CWS HOU @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
889 Andrew Velazquez KC KC @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
890 Andy Pages LAD LAD @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
891 Anthony Volpe NYY NYY @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
892 Austin Martin MIN MIN @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
893 Austin Martin MIN MIN @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
894 Austin Riley ATL ATL @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
895 Ben Rice NYY NYY @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
896 Ben Williamson TB CLE @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
897 Blaze Jordan STL CIN @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
898 Bo Bichette NYM LAD @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
899 Braden Montgomery CWS HOU @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
900 Brandon Lowe PIT CHC @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 876–900 of 1426 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.