📡 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 |
← Oct 25 – Oct 31
Wins
9
Losses
26
Win %
25.7%
Pending
6
Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ GSV WNBA
Points 15.5 OVER
79.5 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
81
Clean
28.7
Fit
4
2
ATL @ GSV WNBA
Points 10.5 OVER
75.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
27.9
Fit
4
3
ATL @ GSV WNBA
Assists 6.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.1
Fit
5
4
ATL @ GSV WNBA
Assists 2.5 OVER
66.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
50
Clean
28.7
Fit
5

📋 Full Board (164 picks · Page 4/7)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Jrue Holiday POR UTA @ POR Points 14.5 0 D -0.7 -5 Pending
77 Lauri Markkanen UTA UTA @ POR 3-Pointers Made 2.5 0 D -20 -6 Pending
78 Lauri Markkanen UTA UTA @ POR Assists 1.5 0 D -14.6 -5 Pending
79 Brandon Miller CHA CHA @ PHI Assists 3.5 0 D -1.7 -5 Pending
80 Veronica Burton ATL @ GSV Rebounds 3.5 0 D -0.3 -5 Pending
81 Jrue Holiday POR UTA @ POR 3-Pointers Made 2.5 0 D -9.9 -6 Pending
82 Kaila Charles ATL @ GSV Rebounds 4.5 0 D 0.6 -5 Pending
83 Toumani Camara POR UTA @ POR Rebounds 4.5 0 D -1.3 -5 Pending
84 Jalen Johnson ATL ATL @ NOP 3-Pointers Made 1.5 0 D -8.5 -6 Pending
85 Deni Avdija POR UTA @ POR 3-Pointers Made 2.5 0 D -7.8 -6 Pending
86 Naz Reid CHA CHA @ PHI Assists 2.5 0 D -2.7 -5 Pending
87 Naz Reid CHA CHA @ PHI 3-Pointers Made 2.5 0 D -9.6 -6 Pending
88 Sion James CHA CHA @ PHI Assists 3.5 0 D -1.6 -5 Pending
89 Kingston Flemings ATL ATL @ NOP Assists 3.5 0 D -1.9 -5 Pending
90 Naz Reid CHA CHA @ PHI Points 18.5 0 D 1.9 -5 Pending
91 Scoot Henderson POR UTA @ POR 3-Pointers Made 1.5 0 D -11.4 -6 Pending
92 Brandon Miller CHA CHA @ PHI Points 27.5 0 D 2.2 -5 Pending
93 Keyonte George UTA UTA @ POR Rebounds 4.5 0 D -14.6 -5 Pending
94 Lauri Markkanen UTA UTA @ POR Rebounds 6.5 0 D -14.6 -5 Pending
95 Deni Avdija POR UTA @ POR Points 24.5 0 D 1.4 -5 Pending
96 Tiffany Hayes ATL @ GSV Rebounds 2.5 0 D 0.2 -5 Pending
97 Saddiq Bey NOP ATL @ GSV 3-Pointers Made 1.5 0 D -20 -6 Pending
98 Onyeka Okongwu ATL ATL @ NOP Points 13.5 0 D -0.2 -5 Pending
99 Keyonte George UTA UTA @ POR Points 22.5 0 D -14.6 -5 Pending
100 Lauri Markkanen UTA UTA @ POR Points 22.5 0 D -14.6 -5 Pending
Showing 76–100 of 164 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.