📡 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 23 →
Wins
0
Losses
0
Win %
0%
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 4.5 OVER
64.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
25.7
Fit
5
2
Points 21.5 OVER
59.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
25.2
Fit
4
3
Rebounds 6.5 OVER
59.1 C+
  • Heavy minutes projection
  • Stable player role
Raw
37
Clean
25.4
Fit
5
4
Total Bases 1.5 OVER
55.3 C
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.1
Fit
0

📋 Full Board (999 picks · Page 35/40)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
851 Jackson Merrill SD SD @ COL Total Bases 2.5 1.9 D 9.2 -5 Pending
852 Joey Bart PIT PIT @ TEX Runs Batted In 1.5 1.9 D 9.2 -5 Pending
853 Jose Fernandez AZ CWS @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
854 Jung Hoo Lee SF LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
855 Lourdes Gurriel Jr. AZ CWS @ ARI Hits 1.5 1.9 D 9.2 -5 Pending
856 Lourdes Gurriel Jr. AZ CWS @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
857 Lourdes Gurriel Jr. AZ CWS @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
858 Lourdes Gurriel Jr. AZ CWS @ ARI Total Bases 1.5 1.9 D 9.2 -5 Pending
859 Mauricio Dubon ATL ATL @ WSH Runs 1.5 1.9 D 9.2 -5 Pending
860 Max Muncy LAD LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
861 Mike Yastrzemski ATL ATL @ WSH Runs Batted In 1.5 1.9 D 9.2 -5 Pending
862 Patrick Bailey SF LAD @ SF Runs 1.5 1.9 D 9.2 -5 Pending
863 Ronald Acuna Jr. ATL ATL @ WSH Runs Batted In 1.5 1.9 D 9.2 -5 Pending
864 Shohei Ohtani LAD LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
865 TJ Rumfield COL COL @ SD Runs 1.5 1.9 D 9.2 -5 Pending
866 Will Smith LAD LAD @ SF Runs 1.5 1.9 D 9.2 -5 Pending
867 Will Smith LAD LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
868 Luis Matos MIL MIL @ DET Runs Batted In 1.5 1.7 D 9.2 -5 Pending
869 Brandon Lockridge MIL MIL @ DET Runs 1.5 1.7 D 9.2 -5 Pending
870 Luis Matos MIL MIL @ DET Runs 1.5 1.7 D 9.2 -5 Pending
871 Donte DiVincenzo MIN DEN @ MIN Assists 4.5 1.7 D -0.9 -5 Pending
872 Andy Pages LAD LAD @ SF Runs Batted In 1.5 1.6 D 9.2 -5 Pending
873 Ezequiel Tovar COL COL @ SD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
874 Freddie Freeman LAD LAD @ SF Runs Batted In 1.5 1.6 D 9.2 -5 Pending
875 Ketel Marte AZ CWS @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 851–875 of 999 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.