📡 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 |
← Mar 24 – Apr 22 →
Wins
17
Losses
28
Push
1
Win %
37.8%
Pending
0
Wed 11/4 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
59.6 C+
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
77
Clean
21.2
Fit
0
2
Total Bases 1.5 OVER
57.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.7
Fit
0
3
Home Runs 0.5 OVER
57.1 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
4
Total Bases 1.5 OVER
56.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
20.1
Fit
0

📋 Full Board (1455 picks · Page 37/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
901 Luisangel Acuna CWS CWS @ ARI Hits 1.5 6.5 D 9.2 -5 Pending
902 Luke Raley SEA SEA @ OAK Runs 1.5 6.5 D 9.2 -5 Pending
903 Manny Machado SD SD @ COL Hits 1.5 6.5 D 9.2 -5 Pending
904 Goga Bitadze ORL ORL @ DET Rebounds 4.5 6.3 D -0.8 -5 Pending
905 Alec Bohm PHI CHC @ PHI Runs Batted In 1.5 6.3 D 9.2 -5 Pending
906 Anthony Black ORL ORL @ DET Rebounds 3.5 6.1 D 0.7 -5 Pending
907 Austin Riley ATL ATL @ WSH Home Runs 0.5 6.1 D 9.2 -5 Pending
908 Cole Young SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
909 J.P. Crawford SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
910 Jake McCarthy COL COL @ SD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
911 Leo Rivas SEA SEA @ OAK Total Bases 1.5 6.1 D 9.2 -5 Pending
912 Luisangel Acuna CWS CWS @ ARI Runs 1.5 6.1 D 9.2 -5 Pending
913 Max Muncy OAK LAD @ SF Home Runs 0.5 6.1 D 9.2 -5 Pending
914 Randy Arozarena SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
915 Riley Greene DET DET @ MIL Runs Batted In 1.5 6.1 D 9.2 -5 Pending
916 Trevor Story BOS NYY @ BOS Runs 1.5 6.1 D 9.2 -5 Pending
917 Zack Gelof OAK OAK @ ATHLETICS@ Runs Batted In 0.5 6.1 D 9.2 -5 Pending
918 Jose Fermin STL MIA @ STL Hits 1.5 6.1 D 9.2 -5 Pending
919 Alex Freeland LAD LAD @ SF Hits 1.5 6 D 9.6 -5 Pending
920 Alex Freeland LAD LAD @ SF Total Bases 1.5 6 D 9.6 -5 Pending
921 Brandon Lowe PIT PIT @ TEX Runs Batted In 1.5 6 D 9.6 -5 Pending
922 Corbin Carroll AZ CWS @ ARI Hits 1.5 6 D 9.6 -5 Pending
923 James McCann AZ CWS @ ARI Runs Batted In 1.5 6 D 9.6 -5 Pending
924 Jonathan Aranda TB CIN @ TB Hits 1.5 6 D 9.6 -5 Pending
925 Junior Caminero TB CIN @ TB Runs 1.5 6 D 9.6 -5 Pending
Showing 901–925 of 1455 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.