📡 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 17 – Sep 23 →
Wins
15
Losses
20
Push
1
Win %
42.9%
Pending
0
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
Rebounds 3.5 OVER
72.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.6
Fit
5
2
Points 7.5 OVER
69.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
21.8
Fit
4
3
Assists 7.5 OVER
64.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
5
4
Hits 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.3
Fit
0

📋 Full Board (1457 picks · Page 34/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Wyatt Langford TEX TEX @ NYM Home Runs 1.5 11.5 D 9.2 -5 Pending
827 Jose Ramirez BOS BOS @ CLE Runs Batted In 0.5 11.5 D 9.2 -5 Pending
828 Aaron Sabato SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
829 Andrew Knizner SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
830 Austin Martin SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
831 Bo Davidson SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
832 Brett Harris SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
833 Christian Koss SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
834 Jonah Cox SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
835 Josh Bell SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
836 Kody Clemens SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
837 Marcelo Mayer SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
838 Osleivis Basabe SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
839 Scott Bandura SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
840 Shay Whitcomb SF SF @ MIN Runs 0.5 11.4 D 9.2 -5 Pending
841 Christian Moore OAK OAK @ LAA Total Bases 1.5 11.4 D 9.6 -5 Pending
842 Aaron Sabato SF SF @ MIN Runs Batted In 0.5 11.3 D 9.2 -5 Pending
843 Austin Martin SF SF @ MIN Runs Batted In 0.5 11.3 D 9.2 -5 Pending
844 Emmanuel Rodriguez SF SF @ MIN Runs Batted In 0.5 11.3 D 9.2 -5 Pending
845 Ryan Jeffers SF SF @ MIN Runs Batted In 0.5 11.3 D 9.2 -5 Pending
846 Ryan Kreidler SF SF @ MIN Runs Batted In 0.5 11.3 D 9.2 -5 Pending
847 Breanna Stewart NYK NYK @ ATL 3-Pointers Made 0.5 11.2 D -0.7 0 Pending
848 JJ Wetherholt PIT PIT @ STL Total Bases 1.5 11.2 D 10.3 -5 Pending
849 Denzer Guzman OAK OAK @ LAA Total Bases 1.5 11.2 D 9.2 -5 Pending
850 Jahmai Jones BOS BOS @ CLE Runs Batted In 0.5 11.1 D 9.2 -5 Pending
Showing 826–850 of 1457 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.