📡 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 |
← Jul 2 – Jul 31 →
Wins
78
Losses
59
Push
18
Win %
56.9%
Pending
0
Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
DAL @ WSH WNBA
Points 14.5 OVER
78.7 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.5
Fit
4
2
DAL @ WSH WNBA
Rebounds 2.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.3
Fit
5
3
SEA @ ATL WNBA
Points 13.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
72
Clean
21.9
Fit
4
4
SEA @ ATL WNBA
Rebounds 5.5 OVER
67.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.4
Fit
5

📋 Full Board (1530 picks · Page 28/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
676 Grant McCray SF SF @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
677 Grant McCray SF SF @ SD Runs 0.5 5.8 D 9.2 -5 Pending
678 Gunnar Henderson BAL PHI @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
679 Gunnar Henderson BAL PHI @ BAL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
680 Gunnar Henderson BAL PHI @ BAL Total Bases 1.5 5.8 D 9.2 -5 Pending
681 Hao-Yu Lee DET DET @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
682 Henry Davis PIT PIT @ CIN Runs Batted In 0.5 5.8 D 9.2 -5 Pending
683 Ildemaro Vargas AZ ARI @ CLE Runs Batted In 0.5 5.8 D 9.2 -5 Pending
684 Ivan Herrera STL STL @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
685 Jac Caglianone KC KC @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
686 Jackson Merrill SD SF @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
687 Jake Burger TEX TEX @ HOU Home Runs 0.5 5.8 D 9.2 -5 Pending
688 Jake Cronenworth SD SF @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
689 Jakob Marsee MIA MIA @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
690 Jase Bowen SD SF @ SD Hits 0.5 5.8 D 9.2 -5 Pending
691 Jase Bowen SD SF @ SD Runs 0.5 5.8 D 9.2 -5 Pending
692 Jeff McNeil OAK DET @ OAK Runs 0.5 5.8 D 9.2 -5 Pending
693 JJ Bleday CIN PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
694 JJ Wetherholt STL STL @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
695 Jo Adell LAA MIL @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
696 Joe Mack MIA MIA @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
697 Joey Bart ATL WSH @ ATL Runs 0.5 5.8 D 9.2 -5 Pending
698 Joey Bart ATL WSH @ ATL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
699 Jorge Soler LAA MIL @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
700 Julio Rodriguez SEA MIN @ SEA Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 676–700 of 1530 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.