📡 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 |
← Aug 13 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ NY WNBA
Assists 2.5 OVER
65.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.3
Fit
5
2
LA @ NY WNBA
Rebounds 2.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
22.5
Fit
5
3
LA @ NY WNBA
Points 18.5 OVER
64.5 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.8
Fit
4
4
LA @ NY WNBA
Points 13.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.1
Fit
4

📋 Full Board (942 picks · Page 36/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
876 William Contreras MIL MIL @ LAD Total Bases 1.5 1.9 D 9.2 -5 Pending
877 Willson Contreras BOS BOS @ TOR Runs Batted In 1.5 1.9 D 9.2 -5 Pending
878 Wyatt Langford TEX TEX @ LAA Hits 1.5 1.9 D 9.2 -5 Pending
879 Wyatt Langford TEX TEX @ LAA Total Bases 1.5 1.9 D 9.2 -5 Pending
880 Andy Pages LAD MIL @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
881 Brayan Rocchio CLE CLE @ DET Runs 1.5 1.6 D 9.2 -5 Pending
882 Brayan Rocchio CLE CLE @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
883 Bryan Reynolds PIT PIT @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
884 Byron Buxton MIN PHI @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
885 Byron Buxton MIN PHI @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
886 Cal Raleigh SEA SEA @ NYY Runs 1.5 1.6 D 9.2 -5 Pending
887 Cal Raleigh SEA SEA @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
888 Colt Emerson SEA SEA @ NYY Runs 1.5 1.6 D 9.2 -5 Pending
889 Colt Emerson SEA SEA @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
890 Dane Myers CIN CIN @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
891 Garrett Mitchell MIL MIL @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
892 Garrett Mitchell MIL MIL @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
893 George Springer TOR BOS @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
894 Hector Rodriguez CIN CIN @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
895 Hector Rodriguez CIN CIN @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
896 Heliot Ramos NYY SEA @ NYY Runs 1.5 1.6 D 9.2 -5 Pending
897 Heliot Ramos NYY SEA @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
898 Jacob Gonzalez PIT PIT @ MIA Runs 1.5 1.6 D 9.2 -5 Pending
899 Jake Burger TEX TEX @ LAA Runs 1.5 1.6 D 9.2 -5 Pending
900 Jakob Marsee MIA PIT @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 876–900 of 942 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.