📡 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 |
← May 20 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
2
Total Bases 1.5 OVER
56.6 C
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
21
Fit
0
3
Total Bases 1.5 OVER
56.1 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
72
Clean
20.4
Fit
0
5
Total Bases 1.5 OVER
53.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
18.5
Fit
0
6
Total Bases 2.5 OVER
53 C
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
20.3
Fit
0

📋 Full Board (1424 picks · Page 23/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
571 Brooks Lee MIN MIN @ HOU Home Runs 0.5 10.2 D 9.2 -5 Pending
572 Daniel Schneemann CLE CLE @ DET Home Runs 0.5 10.2 D 9.2 -5 Pending
573 Kody Clemens MIN MIN @ HOU Home Runs 0.5 10.2 D 9.2 -5 Pending
574 Patrick Bailey CLE CLE @ DET Home Runs 0.5 10.2 D 9.2 -5 Pending
575 Steven Kwan CLE CLE @ DET Home Runs 0.5 10.2 D 9.2 -5 Pending
576 Tristan Gray MIN MIN @ HOU Home Runs 0.5 10.2 D 9.2 -5 Pending
577 Victor Caratini MIN MIN @ HOU Home Runs 0.5 10.2 D 9.2 -5 Pending
578 Mike Yastrzemski ATL MIA @ ATL Runs Batted In 1.5 10.2 D 9.2 -5 Pending
579 Elly De La Cruz CIN CIN @ PHI Home Runs 0.5 10.2 D 9.2 -5 Pending
580 Matt McLain CIN CIN @ PHI Home Runs 0.5 10.2 D 9.2 -5 Pending
581 Sal Stewart CIN CIN @ PHI Home Runs 0.5 10.2 D 9.2 -5 Pending
582 Hunter Goodman COL TEX @ COL Total Bases 1.5 10.1 D 9.2 -5 Pending
583 Jack Kochanowicz LAA LAA @ OAK Strikeouts 4.5 10.1 D 10.9 -5 Pending
584 David Hamilton MIL MIL @ CHC Runs Batted In 1.5 10.1 D 9.2 -5 Pending
585 Luis Rengifo MIL MIL @ CHC Runs Batted In 1.5 10.1 D 9.2 -5 Pending
586 Spencer Steer CIN CIN @ PHI Runs 1.5 10.1 D 9.6 -5 Pending
587 Tyler Stephenson CIN CIN @ PHI Total Bases 1.5 10.1 D 9.2 -5 Pending
588 Cam Smith HOU MIN @ HOU Total Bases 1.5 10.1 D 9.2 -5 Pending
589 Christian Vazquez HOU MIN @ HOU Total Bases 1.5 10.1 D 9.2 -5 Pending
590 Andrew Benintendi CWS CWS @ SEA Hits 1.5 10.1 D 9.4 -5 Pending
591 Bo Bichette NYM NYM @ WSH Hits 1.5 10.1 D 9.4 -5 Pending
592 Drew Romo CWS CWS @ SEA Total Bases 1.5 10.1 D 9.4 -5 Pending
593 Gavin Sheets SD LAD @ SD Hits 1.5 10.1 D 9.4 -5 Pending
594 Keibert Ruiz WSH NYM @ WSH Runs 1.5 10.1 D 9.4 -5 Pending
595 Miguel Vargas CWS CWS @ SEA Runs Batted In 1.5 10.1 D 9.4 -5 Pending
Showing 551–575 of 1424 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.