📡 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 |
← Sep 14 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Strikeouts 4.5 OVER
45.4 D
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
20.7
Fit
0
2
Total Bases 1.5 OVER
44.5 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.3
Fit
0
3
Total Bases 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
49
Clean
20
Fit
0
4
Total Bases 1.5 OVER
43.4 D
  • Heavy minutes projection
  • Stable player role
Raw
46
Clean
20.4
Fit
0

📋 Full Board (933 picks · Page 36/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
903 Walker Jenkins MIN NYY @ MIN Hits 1.5 1.9 D 9.2 -5 Pending
904 Xavier Edwards MIA MIA @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
905 Andrew Benintendi CWS CWS @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
906 Andrew Knizner SF SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
907 Anthony Volpe NYY NYY @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
908 Austin Wells NYY NYY @ MIN Hits 1.5 1.6 D 9.2 -5 Pending
909 Austin Wells NYY NYY @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
910 Austin Wells NYY NYY @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
911 Austin Wells NYY NYY @ MIN Total Bases 1.5 1.6 D 9.2 -5 Pending
912 Brett Harris SF SF @ STL Hits 1.5 1.6 D 9.2 -5 Pending
913 Brett Harris SF SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
914 Brett Harris SF SF @ STL Total Bases 1.5 1.6 D 9.2 -5 Pending
915 Brooks Lee MIN NYY @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
916 Christian Moore LAA SEA @ LAA Runs 1.5 1.6 D 9.2 -5 Pending
917 Cole Carrigg COL SD @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
918 Colson Montgomery CWS CWS @ CLE Hits 1.5 1.6 D 9.2 -5 Pending
919 Colson Montgomery CWS CWS @ CLE Total Bases 1.5 1.6 D 9.2 -5 Pending
920 Ernie Clement TOR DET @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
921 George Springer TOR DET @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
922 Gunnar Henderson BAL BAL @ NYM Runs Batted In 1.5 1.6 D 9.2 -5 Pending
923 Hector Rodriguez CIN LAD @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
924 Heriberto Hernandez MIA MIA @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
925 Ivan Herrera STL SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
926 Jordan Lawlar AZ MIA @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
927 Jordan Walker STL SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 876–900 of 933 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.