📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Sep 14 – Sep 27 →
Wins
29
Losses
39
Push
2
Win %
42.6%
Pending
2
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 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0
2
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0
3
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.2
Fit
0
4
Hits 0.5 OVER
46.6 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.7
Fit
0

📋 Full Board (858 picks · Page 21/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
501 Bryan Torres STL STL @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
502 Bryce Harper PHI TB @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
503 Bryson Stott PHI TB @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
504 Caleb Durbin BOS CHC @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
505 Caleb Durbin BOS CHC @ BOS Runs Batted In 0.5 4.9 D 9.2 -5 Pending
506 Ceddanne Rafaela BOS CHC @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
507 Christian Koss SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
508 Christian Koss SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
509 Freddie Freeman LAD LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
510 Isiah Kiner-Falefa BOS CHC @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
511 Isiah Kiner-Falefa BOS CHC @ BOS Runs Batted In 0.5 4.9 D 9.2 -5 Pending
512 J.T. Realmuto PHI TB @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
513 Jarren Duran BOS CHC @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
514 Jarren Duran BOS CHC @ BOS Runs Batted In 0.5 4.9 D 9.2 -5 Pending
515 JJ Wetherholt STL STL @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
516 Jonah Cox SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
517 Jose Fermin STL STL @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
518 Justin Crawford PHI TB @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
519 Kyle Schwarber PHI TB @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
520 Kyle Tucker LAD LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
521 Kyle Tucker LAD LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
522 Marcelo Mayer SF LAD @ SF Hits 0.5 4.9 D 9.2 -5 Pending
523 Marcelo Mayer SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
524 Max Muncy LAD LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
525 Nathan Church STL STL @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
Showing 501–525 of 858 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.