📡 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 28 – Nov 10
Wins
22
Losses
47
Win %
31.9%
Pending
6
Tue 11/10 Mon 11/9 Sun 11/8 Sat 11/7 Fri 11/6 Thu 11/5 Wed 11/4 Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 15.5 OVER
57.9 C+
  • Heavy minutes projection
  • Usage boost opportunity
Raw
60
Clean
16.2
Fit
4
2
BOS BOS @ PHI NBA
ML -110 ML
47.9 D
  • Strong injury edge
Raw
36
Clean
8.2
Fit
8
3
SAC SAC @ ORL NBA
ML -110 ML
44.2 D
  • Strong injury edge
Raw
26
Clean
9.6
Fit
8
4
Rebounds 5.5 OVER
44.1 D
  • Heavy minutes projection
  • Usage boost opportunity
Raw
24
Clean
15.6
Fit
5

📋 Full Board (267 picks · Page 6/11)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
126 Shai Gilgeous-Alexander OKC OKC @ POR 3-Pointers Made 2.5 0 D -8.5 -6 Pending
127 Karl-Anthony Towns NYK NYK @ MIL Assists 3.5 0 D -11 -5 Pending
128 Anthony Black — 3-Pointers Made 1.5 0 D -10.6 -6 Pending
129 Alex Caruso OKC OKC @ POR Assists 2.5 0 D -2.8 -5 Pending
130 Payton Pritchard BOS BOS @ PHI 3-Pointers Made 2.5 0 D -8.4 -6 Pending
131 Jase Richardson ORL SAC @ ORL Assists 2.5 0 D -13.6 -5 Pending
132 Tyrese Maxey PHI BOS @ PHI Points 24.5 0 D 1.7 -5 Pending
133 Jaxson Hayes UTA UTA @ MIA Points 8.5 0 D -12.6 -5 Pending
134 Jase Richardson ORL SAC @ ORL Rebounds 2.5 0 D -13.6 -5 Pending
135 Darius Garland LAC LAC @ PHX Assists 6.5 0 D -1.3 -5 Pending
136 Collin Gillespie PHX LAC @ PHX Points 9.5 0 D -1.8 -5 Pending
137 Brook Lopez LAC LAC @ PHX Assists 1.5 0 D -1.9 -5 Pending
138 Devin Booker PHX LAC @ PHX Rebounds 3.5 0 D -1.9 -5 Pending
139 Donovan Clingan POR OKC @ POR Points 11.5 0 D -11.1 -5 Pending
140 Kenrich Williams OKC OKC @ POR 3-Pointers Made 1.5 0 D -20 -6 Pending
141 Karl-Anthony Towns NYK NYK @ MIL Rebounds 13.5 0 D -11.1 -5 Pending
142 Jamal Cain ORL SAC @ ORL Points 7.5 0 D -12.8 -5 Pending
143 Joel Embiid PHI BOS @ PHI Assists 3.5 0 D -2.4 -5 Pending
144 Anthony Black — Points 16.5 0 D -0.1 -5 Pending
145 Josh Green UTA UTA @ MIA Rebounds 2.5 0 D -1.2 -5 Pending
146 Shai Gilgeous-Alexander OKC OKC @ POR Points 32.5 0 D 1 -5 Pending
147 Jalen Brunson NYK NYK @ MIL Points 25.5 0 D -0 -5 Pending
148 Keegan Murray SAC SAC @ ORL Points 9.5 0 D -3.8 -5 Pending
149 Tristan da Silva ORL SAC @ ORL Rebounds 4.5 0 D -12.2 -5 Pending
150 Bam Adebayo MIA UTA @ MIA Assists 3.5 0 D -1.4 -5 Pending
Showing 126–150 of 267 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.