📡 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 13 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Mon 11/2 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
14
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
16
Home Runs 0.5 OVER
50.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
62
Clean
19.4
Fit
0
18
Total Bases 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
60
Clean
18.8
Fit
0
19
Total Bases 1.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
59
Clean
18.9
Fit
0

📋 Full Board (1415 picks · Page 33/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
832 Kevin McGonigle DET NYM @ DET Runs Batted In 1.5 7.6 D 9.2 -5 Pending
833 Zach McKinstry DET NYM @ DET Runs Batted In 1.5 7.6 D 9.2 -5 Pending
834 Bryson Stott PHI BOS @ PHI Runs Batted In 1.5 7.6 D 9.2 -5 Pending
835 Ozzie Albies ATL CHC @ ATL Runs Batted In 1.5 7.6 D 9.2 -5 Pending
836 Hunter Goodman COL PIT @ COL Total Bases 1.5 7.5 D 9.2 -5 Pending
837 TJ Rumfield COL PIT @ COL Total Bases 1.5 7.5 D 9.2 -5 Pending
838 Gage Workman DET NYM @ DET Home Runs 0.5 7.5 D 9.2 -5 Pending
839 Matt Vierling DET NYM @ DET Home Runs 0.5 7.5 D 9.2 -5 Pending
840 Brady House WSH WSH @ CIN Home Runs 0.5 7.5 D 9.2 -5 Pending
841 Chase Meidroth CWS KC @ CWS Home Runs 0.5 7.5 D 9.2 -5 Pending
842 CJ Abrams WSH WSH @ CIN Home Runs 0.5 7.5 D 9.2 -5 Pending
843 Colson Montgomery CWS KC @ CWS Home Runs 0.5 7.5 D 9.2 -5 Pending
844 Drew Romo CWS KC @ CWS Home Runs 0.5 7.5 D 9.2 -5 Pending
845 Gavin Sheets SD SD @ MIL Home Runs 0.5 7.5 D 9.2 -5 Pending
846 Jacob Young WSH WSH @ CIN Home Runs 0.5 7.5 D 9.2 -5 Pending
847 James Wood WSH WSH @ CIN Home Runs 0.5 7.5 D 9.2 -5 Pending
848 Keibert Ruiz WSH WSH @ CIN Home Runs 0.5 7.5 D 9.2 -5 Pending
849 Manny Machado SD SD @ MIL Home Runs 0.5 7.5 D 9.2 -5 Pending
850 Munetaka Murakami CWS KC @ CWS Home Runs 0.5 7.5 D 9.2 -5 Pending
851 Munetaka Murakami CWS KC @ CWS Total Bases 1.5 7.5 D 9.2 -5 Pending
852 Xander Bogaerts SD SD @ MIL Home Runs 0.5 7.5 D 9.2 -5 Pending
853 Ezequiel Tovar COL PIT @ COL Hits 1.5 7.4 D 9.6 -5 Pending
854 Jo Adell LAA CLE @ LAA Runs Batted In 1.5 7.4 D 9.2 -5 Pending
855 Zach Neto LAA CLE @ LAA Runs Batted In 1.5 7.4 D 9.2 -5 Pending
857 Austin Martin MIN MIN @ MIA Runs Batted In 1.5 7.4 D 9.2 -5 Pending
Showing 801–825 of 1415 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.