📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← May 2 – May 8 →
Wins
15
Losses
26
Push
1
Win %
36.6%
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
Total Bases 1.5 OVER
57.4 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.4
Fit
0
2
Total Bases 1.5 OVER
53.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
67
Clean
19.8
Fit
0
3
Hits 1.5 OVER
52 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
63
Clean
20.5
Fit
0
4
Total Bases 1.5 OVER
50.5 C
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
20.1
Fit
0

📋 Full Board (1115 picks · Page 36/45)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
876 Willson Contreras BOS BOS @ TB Runs Batted In 1.5 3.9 D 9.2 -5 Pending
877 Ryan Vilade TB TB @ BOS Total Bases 2.5 3.8 D 9.2 -5 Pending
878 Mikal Bridges NYK NYK @ PHI Rebounds 4.5 3.7 D -0.4 -5 Pending
879 Andrew Benintendi CWS SEA @ CWS Runs 1.5 3.6 D 9.2 -5 Pending
880 Caleb Durbin BOS BOS @ TB Runs 1.5 3.6 D 9.2 -5 Pending
881 Carlos Narvaez BOS BOS @ TB Hits 1.5 3.6 D 9.2 -5 Pending
882 Colson Montgomery CWS SEA @ CWS Runs 1.5 3.6 D 9.2 -5 Pending
883 Colson Montgomery CWS SEA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
884 Connor Norby MIA MIA @ WSH Runs Batted In 1.5 3.6 D 9.2 -5 Pending
885 Joe Mack MIA MIA @ WSH Runs 1.5 3.6 D 9.2 -5 Pending
886 Joe Mack MIA MIA @ WSH Runs Batted In 1.5 3.6 D 9.2 -5 Pending
887 Leo Jimenez MIA MIA @ WSH Hits 1.5 3.6 D 9.2 -5 Pending
888 Marcelo Mayer BOS BOS @ TB Runs Batted In 1.5 3.6 D 9.2 -5 Pending
889 Nasim Nunez WSH WSH @ MIA Runs 1.5 3.6 D 9.2 -5 Pending
890 Otto Lopez MIA MIA @ WSH Runs Batted In 1.5 3.6 D 9.2 -5 Pending
891 Sam Antonacci CWS SEA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
892 Trevor Story BOS BOS @ TB Runs Batted In 1.5 3.6 D 9.2 -5 Pending
893 Tristan Peters CWS SEA @ CWS Runs 1.5 3.6 D 9.2 -5 Pending
894 Tristan Peters CWS SEA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
895 Xavier Edwards MIA MIA @ WSH Runs 1.5 3.6 D 9.2 -5 Pending
896 Xavier Edwards MIA MIA @ WSH Runs Batted In 1.5 3.6 D 9.2 -5 Pending
897 Spencer Torkelson DET DET @ KC Total Bases 2.5 3.5 D 9.2 -5 Pending
898 De'Aaron Fox SAS MIN @ SAS Rebounds 4.5 3.4 D 0.5 -5 Pending
899 Victor Wembanyama SAS MIN @ SAS Rebounds 13.5 3.3 D -0.3 -5 Pending
900 Adam Frazier LAA TOR @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 876–900 of 1115 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.