📡 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 22 →
Wins
3
Losses
3
Win %
50%
Pending
0
Sat 10/10 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ LV WNBA
Assists 3.5 OVER
65.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
22.9
Fit
5
2
LA @ LV WNBA
Points 26.5 OVER
65.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
23.1
Fit
4
3
LA @ LV WNBA
Points 21.5 OVER
64.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
23.2
Fit
4
4
TORONTO TEMPO @ CHI WNBA
Points 12.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
21.5
Fit
4

📋 Full Board (1511 picks · Page 24/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
576 Ben Rice NYY TB @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
577 Bo Bichette NYM NYM @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
578 Brandon Nimmo TEX NYM @ TEX Total Bases 1.5 5.8 D 9.2 -5 Pending
579 Brice Turang MIL MIL @ PHI Home Runs 0.5 5.8 D 9.2 -5 Pending
580 Brooks Lee MIN MIN @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
581 Chase DeLauter CLE CLE @ BOS Home Runs 0.5 5.8 D 9.2 -5 Pending
582 Chase Meidroth CWS CWS @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
583 Christian Encarnacion-Strand BAL TOR @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
584 Christian Encarnacion-Strand BAL TOR @ BAL Total Bases 1.5 5.8 D 9.2 -5 Pending
585 CJ Abrams WSH WSH @ DET Home Runs 0.5 5.8 D 9.2 -5 Pending
586 Coby Mayo BAL TOR @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
587 Cody Bellinger NYY TB @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
588 Cole Young SEA HOU @ SEA Home Runs 0.5 5.8 D 9.2 -5 Pending
589 Daulton Varsho HOU HOU @ SEA Home Runs 0.5 5.8 D 9.2 -5 Pending
590 David Fry CLE CLE @ BOS Home Runs 0.5 5.8 D 9.2 -5 Pending
591 Drake Baldwin ATL CIN @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
592 Drew Cavanaugh SF MIN @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
593 Drew Gilbert SF MIN @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
594 Drew Gilbert SF MIN @ SF Total Bases 1.5 5.8 D 9.2 -5 Pending
595 Dylan Crews WSH WSH @ DET Home Runs 0.5 5.8 D 9.2 -5 Pending
596 Emmanuel Rodriguez MIN MIN @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
597 Eugenio Suarez CIN CIN @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
598 Ezequiel Tovar COL ARI @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
599 Francisco Alvarez NYM NYM @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
600 Gabriel Moreno AZ ARI @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 576–600 of 1511 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.