📡 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 18 →
Wins
3
Losses
3
Win %
50%
Pending
0
Mon 10/19 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 34/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Kahlil Watson CLE PIT @ CLE Runs Batted In 0.5 5.8 D 9.2 -5 Pending
827 Ke'Bryan Hayes CIN CIN @ COL Hits 0.5 5.8 D 9.2 -5 Pending
828 Ke'Bryan Hayes CIN CIN @ COL Runs 0.5 5.8 D 9.2 -5 Pending
829 Keibert Ruiz WSH WSH @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
830 Kerry Carpenter DET DET @ LAA Runs 0.5 5.8 D 9.2 -5 Pending
831 Kevin McGonigle DET DET @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
832 Kevin McGonigle DET DET @ LAA Runs 0.5 5.8 D 9.2 -5 Pending
833 Kyle Karros COL CIN @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
834 Kyle Schwarber PHI NYM @ PHI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
835 Lars Nootbaar STL STL @ ARI Total Bases 1.5 5.8 D 9.2 -5 Pending
836 Lucas Spence HOU BAL @ HOU Home Runs 0.5 5.8 D 9.2 -5 Pending
837 Luis Garcia Jr. WSH WSH @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
838 Marcell Ozuna PIT PIT @ CLE Home Runs 0.5 5.8 D 9.2 -5 Pending
839 Marcus Semien NYM NYM @ PHI Hits 0.5 5.8 D 9.2 -5 Pending
840 Marcus Semien NYM NYM @ PHI Runs 0.5 5.8 D 9.2 -5 Pending
841 Matt Olson ATL TEX @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
842 Matt Olson ATL TEX @ ATL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
843 Mauricio Dubon ATL TEX @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
844 Mauricio Dubon ATL TEX @ ATL Runs 0.5 5.8 D 9.2 -5 Pending
845 Max Kepler AZ STL @ ARI Runs 0.5 5.8 D 9.2 -5 Pending
846 Max Muncy LAD LAD @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
847 Max Muncy LAD LAD @ NYY Runs 0.5 5.8 D 9.2 -5 Pending
848 Michael Conforto CHC MIN @ CHC Home Runs 0.5 5.8 D 9.2 -5 Pending
849 Michael Conforto CHC MIN @ CHC Total Bases 1.5 5.8 D 9.2 -5 Pending
850 Michael Harris II ATL TEX @ ATL Total Bases 1.5 5.8 D 9.2 -5 Pending
Showing 826–850 of 1508 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.