📡 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 |
← Jun 14 – Jun 20 →
Wins
19
Losses
12
Push
4
Win %
61.3%
Pending
0
Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
47.6 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
56
Clean
19.6
Fit
0
2
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.2
Fit
0
3
Total Bases 1.5 OVER
46.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.3
Fit
0
4
Total Bases 1.5 OVER
45.8 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
53
Clean
19.3
Fit
0

📋 Full Board (1265 picks · Page 37/51)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
901 Braden Montgomery CWS CWS @ DET Hits 1.5 4.5 D 9.2 -5 Pending
902 Brice Turang MIL MIL @ ATL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
903 Cedric Mullins TB WSH @ TB Runs Batted In 1.5 4.5 D 9.2 -5 Pending
904 Chase Meidroth CWS CWS @ DET Runs Batted In 1.5 4.5 D 9.2 -5 Pending
905 Cody Bellinger NYY CIN @ NYY Runs Batted In 1.5 4.5 D 9.2 -5 Pending
906 Curtis Mead WSH WSH @ TB Runs 1.5 4.5 D 9.2 -5 Pending
907 Daniel Schneemann CLE CLE @ HOU Runs Batted In 1.5 4.5 D 9.2 -5 Pending
908 Esmerlyn Valdez PIT PIT @ COL Total Bases 1.5 4.5 D 9.2 -5 Pending
909 Garrett Mitchell MIL MIL @ ATL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
910 Hunter Goodman COL PIT @ COL Hits 1.5 4.5 D 9.2 -5 Pending
911 Hunter Goodman COL PIT @ COL Total Bases 1.5 4.5 D 9.2 -5 Pending
912 Isaac Paredes HOU CLE @ HOU Runs Batted In 1.5 4.5 D 9.2 -5 Pending
913 Jacob Gonzalez CWS CWS @ DET Hits 1.5 4.5 D 9.2 -5 Pending
914 Jacob Gonzalez CWS CWS @ DET Total Bases 1.5 4.5 D 9.2 -5 Pending
915 Jose Caballero NYY CIN @ NYY Runs Batted In 1.5 4.5 D 9.2 -5 Pending
916 Jung Hoo Lee SF SF @ MIA Runs Batted In 1.5 4.5 D 9.2 -5 Pending
917 Kahlil Watson CLE CLE @ HOU Total Bases 1.5 4.5 D 9.2 -5 Pending
918 Logan O'Hoppe LAA LAA @ OAK Runs 1.5 4.5 D 9.2 -5 Pending
919 Luis Torrens NYM NYM @ PHI Runs Batted In 1.5 4.5 D 9.2 -5 Pending
920 Marcus Semien NYM NYM @ PHI Runs Batted In 1.5 4.5 D 9.2 -5 Pending
921 Matt Shaw CHC TOR @ CHC Runs Batted In 1.5 4.5 D 9.2 -5 Pending
922 Matt Vierling DET CWS @ DET Runs Batted In 1.5 4.5 D 9.2 -5 Pending
923 Nasim Nunez WSH WSH @ TB Runs Batted In 1.5 4.5 D 9.2 -5 Pending
924 Rhys Hoskins CLE CLE @ HOU Runs Batted In 1.5 4.5 D 9.2 -5 Pending
925 Riley Greene DET CWS @ DET Runs Batted In 1.5 4.5 D 9.2 -5 Pending
Showing 901–925 of 1265 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.