📡 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 29 – Jun 27 →
Wins
57
Losses
51
Push
17
Win %
52.8%
Pending
0
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 Thu 10/15 Wed 10/14
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
52.1 C
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.3
Fit
0
2
Total Bases 1.5 OVER
49.7 D
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
20.3
Fit
0
3
Total Bases 1.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
21.4
Fit
0
4
Hits 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
22.1
Fit
0

📋 Full Board (1375 picks · Page 35/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
851 Graham Pauley MIA MIA @ STL Home Runs 0.5 4.9 D 9.2 -5 Pending
852 Joey Meneses OAK OAK @ LAD@SDP Home Runs 0.5 4.9 D 9.2 -5 Pending
853 Josh Jung TEX TEX @ TOR Runs Batted In 1.5 4.9 D 9.2 -5 Pending
854 Justin Crawford PHI PHI @ NYM Home Runs 0.5 4.9 D 9.2 -5 Pending
855 Masataka Yoshida BOS NYY @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
856 Matt McLain CIN CIN @ PIT Home Runs 0.5 4.9 D 9.2 -5 Pending
857 Nathaniel Lowe CIN CIN @ PIT Home Runs 0.5 4.9 D 9.2 -5 Pending
858 Nathaniel Lowe CIN CIN @ PIT Runs Batted In 0.5 4.9 D 9.2 -5 Pending
859 Nick Kurtz OAK OAK @ LAD@SDP Home Runs 0.5 4.9 D 9.2 -5 Pending
860 Otto Lopez MIA MIA @ STL Home Runs 0.5 4.9 D 9.2 -5 Pending
861 Ryan Ward LAD LAD @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
862 Samad Taylor SD LAD @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
863 Tommy Edman LAD LAD @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
864 Trea Turner PHI PHI @ NYM Home Runs 0.5 4.9 D 9.2 -5 Pending
865 Tyler Stephenson CIN CIN @ PIT Home Runs 0.5 4.9 D 9.2 -5 Pending
866 Will Wagner SD LAD @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
867 Willson Contreras BOS NYY @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
868 Xander Bogaerts SD LAD @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
869 Xavier Edwards MIA MIA @ STL Home Runs 0.5 4.9 D 9.2 -5 Pending
870 A.J. Ewing NYM PHI @ NYM Hits 1.5 4.8 D 9.2 -5 Pending
871 A.J. Ewing NYM PHI @ NYM Runs Batted In 1.5 4.8 D 9.2 -5 Pending
872 Alex Bregman CHC CHC @ MIL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
873 Amed Rosario NYY NYY @ BOS Total Bases 1.5 4.8 D 9.2 -5 Pending
874 Ben Rice NYY NYY @ BOS Runs 1.5 4.8 D 9.2 -5 Pending
875 Blaze Jordan STL MIA @ STL Runs 1.5 4.8 D 9.2 -5 Pending
Showing 851–875 of 1375 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.