📡 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 29 – Aug 11 →
Wins
17
Losses
19
Push
48
Win %
47.2%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ LA WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
2
PHX @ LA WNBA
Assists 9.5 OVER
67.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.4
Fit
5
3
PHX @ LA WNBA
Points 16.5 OVER
66.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28
Fit
4
4
PHX @ LA WNBA
Points 11.5 OVER
65.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
21.8
Fit
4

📋 Full Board (1485 picks · Page 37/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
901 Hector Rodriguez CIN CIN @ CWS Runs 0.5 5.8 D 9.2 -5 Pending
902 Henry Bolte OAK TB @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
903 Henry Bolte OAK TB @ OAK Runs Batted In 0.5 5.8 D 9.2 -5 Pending
904 Hunter Goodman COL COL @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
905 Hunter Goodman COL COL @ ARI Runs 0.5 5.8 D 9.2 -5 Pending
906 Hunter Goodman COL COL @ ARI Total Bases 1.5 5.8 D 9.2 -5 Pending
907 Isaac Collins KC KC @ LAD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
908 Isaac Paredes HOU HOU @ SF Runs 0.5 5.8 D 9.2 -5 Pending
909 Ivan Herrera STL PHI @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
910 J.T. Realmuto PHI PHI @ STL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
911 Jackson Holliday BAL BAL @ MIN Home Runs 0.5 5.8 D 9.2 -5 Pending
912 Jackson Holliday BAL BAL @ MIN Runs Batted In 0.5 5.8 D 9.2 -5 Pending
913 Jacob Gonzalez PIT PIT @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
914 Jacob Gonzalez PIT PIT @ MIA Total Bases 1.5 5.8 D 9.2 -5 Pending
915 Jacob Wilson OAK TB @ OAK Runs Batted In 0.5 5.8 D 9.2 -5 Pending
916 Jake Bauers MIL MIL @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
917 Jake Cronenworth SD MIL @ SD Runs 0.5 5.8 D 9.2 -5 Pending
918 Jake Mangum PIT PIT @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
919 Jarren Duran BOS BOS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
920 Jazz Chisholm Jr. NYY SEA @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
921 Jeremy Pena HOU HOU @ SF Runs Batted In 0.5 5.8 D 9.2 -5 Pending
922 JJ Bleday CIN CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
923 JJ Bleday CIN CIN @ CWS Runs 0.5 5.8 D 9.2 -5 Pending
924 JJ Bleday CIN CIN @ CWS Runs Batted In 0.5 5.8 D 9.2 -5 Pending
925 Joc Pederson TEX TEX @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 901–925 of 1485 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.