📡 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 |
← Jul 7 – Jul 20 →
Wins
42
Losses
29
Push
7
Win %
59.2%
Pending
0
Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ SEA WNBA
Points 19.5 OVER
73.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
79
Clean
23.3
Fit
4
2
NY @ DAL WNBA
Points 21.5 OVER
72 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
28.1
Fit
4
3
NY @ DAL WNBA
Rebounds 12.5 OVER
71.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
28.9
Fit
5
4
NY @ DAL WNBA
Rebounds 7.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
29
Fit
5

📋 Full Board (1515 picks · Page 34/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Ezequiel Duran TEX CWS @ TEX Runs Batted In 0.5 6.5 D 9.2 -5 Pending
827 Henry Davis PIT PIT @ NYY Runs Batted In 0.5 6.5 D 9.2 -5 Pending
828 Hunter Goodman COL WSH @ COL Home Runs 0.5 6.5 D 9.2 -5 Pending
829 Hunter Goodman COL WSH @ COL Runs 0.5 6.5 D 9.2 -5 Pending
830 Ivan Herrera STL STL @ LAA Hits 0.5 6.5 D 9.2 -5 Pending
831 J.P. Crawford SEA CIN @ SEA Runs Batted In 0.5 6.5 D 9.2 -5 Pending
832 Kody Clemens MIN MIN @ CLE Total Bases 1.5 6.5 D 9.2 -5 Pending
833 Lars Nootbaar STL STL @ LAA Runs Batted In 0.5 6.5 D 9.2 -5 Pending
834 Lucas Spence HOU MIA @ HOU Runs Batted In 0.5 6.5 D 9.2 -5 Pending
835 Marcell Ozuna PIT PIT @ NYY Total Bases 1.5 6.5 D 9.2 -5 Pending
836 Randy Arozarena SEA CIN @ SEA Runs Batted In 0.5 6.5 D 9.2 -5 Pending
837 Spencer Torkelson DET DET @ CHC Total Bases 1.5 6.5 D 9.2 -5 Pending
838 TJ Rumfield COL WSH @ COL Total Bases 1.5 6.5 D 9.2 -5 Pending
839 Tyler Stephenson CIN CIN @ SEA Runs Batted In 0.5 6.5 D 9.2 -5 Pending
840 Vladimir Guerrero Jr. TOR TB @ TOR Runs Batted In 0.5 6.5 D 9.2 -5 Pending
841 Alika Williams OAK OAK @ ATHLETICS@ Hits 0.5 6.1 D 9.2 -5 Pending
842 Andrés Chaparro WSH WSH @ COL Home Runs 0.5 6.1 D 9.2 -5 Pending
843 Anthony Seigler BOS BAL @ BOS Runs 0.5 6.1 D 9.2 -5 Pending
844 Bo Bichette NYM NYM @ MIL Hits 0.5 6.1 D 9.2 -5 Pending
845 Brayan Rocchio CLE MIN @ CLE Runs Batted In 0.5 6.1 D 9.2 -5 Pending
846 Bryce Harper PHI LAD @ PHI Runs Batted In 0.5 6.1 D 9.2 -5 Pending
847 Carlos Narvaez BOS BAL @ BOS Runs 0.5 6.1 D 9.2 -5 Pending
848 Carlos Narvaez BOS BAL @ BOS Total Bases 1.5 6.1 D 9.2 -5 Pending
849 Carter Jensen KC SF @ KC Runs 0.5 6.1 D 9.2 -5 Pending
850 Carter Jensen KC SF @ KC Runs Batted In 0.5 6.1 D 9.2 -5 Pending
Showing 826–850 of 1515 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.