📡 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 |
← Nov 9 – Nov 15
Wins
17
Losses
14
Win %
54.8%
Pending
6
Sun 11/15 Sat 11/14 Fri 11/13 Thu 11/12 Wed 11/11 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Assists 5.5 OVER
68.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
27.3
Fit
5
2
Points 14.5 OVER
66.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Usage boost opportunity
Raw
78
Clean
16.2
Fit
4
3
Rebounds 3.5 OVER
63.8 B-
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
46
Clean
25.2
Fit
5
4
Rebounds 9.5 OVER
63.1 B-
  • Heavy minutes projection
  • Usage boost opportunity
Raw
62
Clean
15.9
Fit
5

📋 Full Board (383 picks · Page 6/16)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
126 OG Anunoby NYK NYK @ TOR Rebounds 5.5 3.2 D 0.2 -5 Pending
127 Stephon Castle SAS UTA @ SAS Points 15.5 3.2 D 0.4 -5 Pending
128 Jalen Johnson ATL ATL @ MIL Points 21.5 3.1 D 1.4 -5 Pending
129 Tyler Herro MIL KC @ ATL Assists 4.5 3.1 D -0.8 -5 Pending
130 Naz Reid CHA CHA @ LAC Rebounds 8.5 3 D -0.1 -5 Pending
131 Ja'Kobe Walter TOR NYK @ TOR Rebounds 3.5 2.9 D -1.2 -5 Pending
132 Alex Sarr WSH HOU @ CLE Rebounds 7.5 2.7 D -0.9 -5 Pending
133 Brook Lopez LAC CHA @ LAC Assists 1.5 2.7 D -1.9 -5 Pending
134 Luguentz Dort ATL ATL @ MIL Points 7.5 1.9 D -0.4 -5 Pending
135 Jalen Brunson NYK NYK @ TOR Points 26.5 1.9 D -0 -5 Pending
136 Onyeka Okongwu ATL ATL @ MIL Rebounds 7.5 1.8 D 1 -5 Pending
137 Devin Vassell SAS UTA @ SAS 3-Pointers Made 1.5 1.6 D -7.4 -6 Pending
138 Ace Bailey UTA UTA @ SAS 3-Pointers Made 1.5 1.6 D -8.9 -6 Pending
139 Dean Wade PHI MIA @ IND Rebounds 5.5 1.6 D -0.6 -5 Pending
140 Alex Sarr WSH HOU @ CLE Points 10.5 1.6 D -1.1 -5 Pending
141 Mikal Bridges NYK NYK @ TOR Rebounds 2.5 1.4 D 0.4 -5 Pending
142 Collin Gillespie PHX PHX @ LAL Points 9.5 1.2 D -1.8 -5 Pending
143 Nickeil Alexander-Walker ATL ATL @ MIL Points 22.5 1.2 D 0.9 -5 Pending
144 Julian Champagnie SAS UTA @ SAS Rebounds 4.5 1.1 D -1.8 -5 Pending
145 Devin Vassell SAS UTA @ SAS Assists 2.5 1.1 D -1.4 -5 Pending
146 Kris Dunn LAC CHA @ LAC Points 6.5 1.1 D -0.7 -5 Pending
147 Oso Ighodaro PHX PHX @ LAL Rebounds 5.5 1 D -0.2 -5 Pending
148 Jayson Tatum BOS SF @ DAL Rebounds 7.5 0.9 D -1.5 -5 Pending
149 Devin Booker PHX PHX @ LAL Points 24.5 0.8 D 2 -5 Pending
150 Jaylen Brown PHI MIA @ IND 3-Pointers Made 1.5 0.8 D -7.2 -6 Pending
Showing 126–150 of 383 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.