📡 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 |
← Sep 14 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Strikeouts 4.5 OVER
45.4 D
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
20.7
Fit
0
2
Total Bases 1.5 OVER
44.5 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.3
Fit
0
3
Total Bases 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
49
Clean
20
Fit
0
4
Total Bases 1.5 OVER
43.4 D
  • Heavy minutes projection
  • Stable player role
Raw
46
Clean
20.4
Fit
0

📋 Full Board (980 picks · Page 28/40)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
676 Hector Rodriguez CIN LAD @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
677 Heriberto Hernandez MIA MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
678 Heston Kjerstad BAL BAL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
679 Ian Happ CHC ATL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
680 Ivan Herrera STL SF @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
681 Jackson Holliday BAL BAL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
682 Jakob Marsee MIA MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
683 Javier Sanoja MIA MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
684 JJ Bleday CIN LAD @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
685 Jo Adell CLE CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
686 John Peck DET DET @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
687 Jonah Cox SF SF @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
688 Jordan Lawlar AZ MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
689 Jordan Walker STL SF @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
690 Jose Ramirez CLE CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
691 Josh Naylor SEA SEA @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
692 Josue De Paula LAD LAD @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
693 Julio Rodriguez SEA SEA @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
694 Jung Hoo Lee SF SF @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
695 Kaelen Culpepper MIN NYY @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
696 Ke'Bryan Hayes CIN LAD @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
697 Ketel Marte AZ MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
698 Kyle Karros COL SD @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
699 Kyle Stowers MIA MIA @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
700 Kyren Paris LAA SEA @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 676–700 of 980 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.