📡 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 |
← Jun 1 →
Wins
2
Losses
0
Push
4
Win %
100%
Pending
0
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 Sun 10/18 Sat 10/17 Fri 10/16
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
46.9 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.9
Fit
0
2
Total Bases 1.5 OVER
45.2 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
51
Clean
19.9
Fit
0
3
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.4
Fit
0
4
Total Bases 1.5 OVER
43.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
47
Clean
19.8
Fit
0

📋 Full Board (837 picks · Page 26/34)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
626 Brice Turang MIL SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
627 Bryan Torres STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
628 Bryan Torres STL TEX @ STL Runs 0.5 3.2 D 9.2 -5 Pending
629 Cedric Mullins TB DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
630 Chandler Simpson TB DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
631 Christian Yelich MIL SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
632 CJ Abrams WSH MIA @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
633 Colt Keith DET DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
634 Connor Norby MIA MIA @ WSH Runs 1.5 3.2 D 9.2 -5 Pending
635 Connor Norby MIA MIA @ WSH Runs Batted In 1.5 3.2 D 9.2 -5 Pending
636 Corbin Carroll AZ LAD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
637 Daniel Susac SF SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
638 Daylen Lile WSH MIA @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
639 Dylan Crews WSH MIA @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
640 Edouard Julien COL COL @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
641 Ildemaro Vargas AZ LAD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
642 Isaac Collins KC KC @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
643 Jac Caglianone KC KC @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
644 Jacob Gonzalez CWS CWS @ MIN Runs 1.5 3.2 D 9.2 -5 Pending
645 Jacob Gonzalez CWS CWS @ MIN Runs Batted In 1.5 3.2 D 9.2 -5 Pending
646 Jhonny Pereda SEA NYM @ SEA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
647 Jimmy Crooks STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
648 JJ Wetherholt STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
649 Joe Mack MIA MIA @ WSH Runs Batted In 1.5 3.2 D 9.2 -5 Pending
650 Joey Ortiz MIL SF @ MIL Runs 0.5 3.2 D 9.2 -5 Pending
Showing 626–650 of 837 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.