📡 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 5 – Aug 3 →
Wins
84
Losses
64
Push
13
Win %
56.8%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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
Sabrina Ionescu
SEA @ NY WNBA
Points 20.5 OVER
70.2 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28.2
Fit
4
2
Alyssa Thomas
PHX @ CHI WNBA
Rebounds 7.5 OVER
69.1 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
28.5
Fit
5
3
Awa Fam
SEA @ NY WNBA
Rebounds 5.5 OVER
68.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.5
Fit
5
4
Alyssa Thomas
PHX @ CHI WNBA
Points 15.5 OVER
66.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
27.9
Fit
4

📋 Full Board (870 picks · Page 4/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Heliot Ramos SF SF @ TEX Hits 0.5 36.1 D 17.4 0 Pending
77 Jake Mangum PIT PIT @ MIL Total Bases 1.5 36.1 D 18.5 0 Pending
78 Breanna Stewart SEA @ NY 3-Pointers Made 0.5 35.9 D 16.2 0 Pending
79 Pete Crow-Armstrong CHC LAD @ CHC Total Bases 1.5 35.4 D 18.2 0 Pending
80 Geraldo Perdomo AZ SD @ ARI Total Bases 1.5 34.7 D 17.6 0 Pending
81 Brandon Nimmo TEX SF @ TEX Hits 0.5 34.2 D 17.8 0 Pending
82 Bryce Eldridge SF SF @ TEX Hits 0.5 34.2 D 17.8 0 Pending
83 Daniel Susac SF SF @ TEX Hits 0.5 34.2 D 17.8 0 Pending
84 Jacob Young WSH WSH @ PHI Runs Batted In 0.5 34.2 D 17.8 0 Pending
85 Miguel Amaya CHC LAD @ CHC Hits 0.5 34.2 D 17.8 0 Pending
86 Allisha Gray LV @ ATL Rebounds 3.5 33.7 D 8.7 5 Pending
87 Nico Hoerner CHC LAD @ CHC Hits 0.5 33.5 D 17.4 0 Pending
88 Rafael Devers SF SF @ TEX Hits 0.5 33.5 D 17.4 0 Pending
89 Shohei Ohtani LAD LAD @ CHC Runs Batted In 0.5 33.5 D 17.4 0 Pending
90 Brandon Marsh PHI WSH @ PHI Hits 0.5 33.3 D 17.6 0 Pending
91 Christian Koss SF SF @ TEX Hits 0.5 33.3 D 17.6 0 Pending
92 Corey Seager TEX SF @ TEX Hits 0.5 33.3 D 17.6 0 Pending
93 Dalton Rushing LAD LAD @ CHC Runs 0.5 33.3 D 17.6 0 Pending
94 Drew Gilbert SF SF @ TEX Hits 0.5 33.3 D 17.6 0 Pending
95 Dylan Crews WSH WSH @ PHI Hits 0.5 33.3 D 17.6 0 Pending
96 Jake Burger TEX SF @ TEX Hits 0.5 33.3 D 17.6 0 Pending
97 Max Muncy LAD LAD @ CHC Hits 0.5 33.3 D 17.6 0 Pending
98 Michael Busch CHC LAD @ CHC Hits 0.5 33.3 D 17.6 0 Pending
99 Mookie Betts LAD LAD @ CHC Hits 0.5 33.3 D 17.6 0 Pending
100 Osleivis Basabe SF SF @ TEX Hits 0.5 33.3 D 17.6 0 Pending
Showing 76–100 of 870 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.