📡 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 13 – Jul 19 →
Wins
19
Losses
17
Push
6
Win %
52.8%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Paige Bueckers
LA @ DAL WNBA
Rebounds 4.5 OVER
71.8 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.2
Fit
5
2
Nneka Ogwumike
LA @ DAL WNBA
Points 17.5 OVER
69.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4
3
Jordin Canada
CHI @ ATL WNBA
Assists 8.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.3
Fit
5
4
Nneka Ogwumike
LA @ DAL WNBA
Assists 3.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
23.5
Fit
5

📋 Full Board (1496 picks · Page 4/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Ryan Jeffers MIN MIN @ CHC Total Bases 1.5 42.9 D 20.5 0 Pending
77 Charlisse Leger-Walker CON @ PHX Points 9.5 42.6 D 21.2 4 Pending
78 Victor Mesa Jr. TB TB @ BOS Total Bases 1.5 42.4 D 19.4 0 Pending
79 Brice Turang MIL MIA @ MIL Total Bases 1.5 42.2 D 19.6 0 Pending
80 Arike Ogunbowale LA @ DAL Assists 2.5 42.2 D 17.5 5 Pending
81 Yordan Alvarez HOU BAL @ HOU Total Bases 1.5 41.6 D 19.5 0 Pending
82 Brice Turang MIL MIA @ MIL Runs Batted In 0.5 41.5 D 19.8 0 Pending
83 Chase Meidroth CWS CWS @ TOR Hits 0.5 41.5 D 19.8 0 Pending
84 Andres Gimenez TOR CWS @ TOR Hits 0.5 41.5 D 20.2 0 Pending
85 Chase DeLauter CLE PIT @ CLE Runs 0.5 41.5 D 20.2 0 Pending
86 Cole Young SEA SF @ SEA Runs 0.5 41.5 D 20.2 0 Pending
87 Drew Gilbert SF SF @ SEA Hits 0.5 41.5 D 20.2 0 Pending
88 Esmerlyn Valdez PIT PIT @ CLE Hits 0.5 41.5 D 20.2 0 Pending
89 George Springer TOR CWS @ TOR Hits 0.5 41.5 D 20.2 0 Pending
90 Heriberto Hernandez MIA MIA @ MIL Hits 0.5 41.5 D 20.2 0 Pending
91 Isaac Collins KC SD @ KC Runs Batted In 0.5 41.5 D 20.2 0 Pending
92 JJ Bleday CIN CIN @ COL Runs 0.5 41.5 D 20.2 0 Pending
93 Josh Naylor SEA SF @ SEA Hits 0.5 41.5 D 20.2 0 Pending
94 Luis Lara MIL MIA @ MIL Hits 0.5 41.5 D 20.2 0 Pending
95 Max Kepler AZ STL @ ARI Hits 0.5 41.5 D 20.2 0 Pending
96 Patrick Bailey CLE PIT @ CLE Hits 0.5 41.5 D 20.2 0 Pending
97 Salvador Perez KC SD @ KC Hits 0.5 41.5 D 20.2 0 Pending
98 Seiya Suzuki CHC MIN @ CHC Runs 0.5 41.5 D 20.2 0 Pending
99 Tim Tawa AZ STL @ ARI Runs 0.5 41.5 D 20.2 0 Pending
100 Tyler Locklear AZ STL @ ARI Hits 0.5 41.5 D 20.2 0 Pending
Showing 76–100 of 1496 picks
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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.