📡 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 8 – Oct 21 →
Wins
23
Losses
54
Push
1
Win %
29.9%
Pending
0
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 Sat 10/17 Fri 10/16 Thu 10/15
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
GSV @ ATL WNBA
Points 11.5 OVER
76.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
75
Clean
28.3
Fit
4
2
GSV @ ATL WNBA
Assists 7.5 OVER
69.8 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.1
Fit
5
3
GSV @ ATL WNBA
Rebounds 3.5 OVER
62.5 C+
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
41
Clean
26.7
Fit
5
4
GSV @ ATL WNBA
Points 15.5 OVER
61.7 C+
  • Heavy minutes projection
Raw
59
Clean
21.2
Fit
4

📋 Full Board (569 picks · Page 8/23)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
176 Quentin Grimes LAL GSW @ LAL 3-Pointers Made 1.5 0 D -16.2 -6 Pending
177 Julius Randle BKN CHA @ BKN 3-Pointers Made 1.5 0 D -10.5 -6 Pending
178 Naji Marshall DAL HOU @ DAL 3-Pointers Made 0.5 0 D -20 -6 Pending
179 Jaden McDaniels MIN MIA @ MIN 3-Pointers Made 1.5 0 D -10 -6 Pending
180 Dyson Daniels ATL ATL @ ORL 3-Pointers Made 0.5 0 D -20 -6 Pending
181 Jeremiah Fears NOP IND @ NOP 3-Pointers Made 1.5 0 D -8.1 -6 Pending
182 Ja'Kobe Walter TOR CHI @ TOR 3-Pointers Made 1.5 0 D -7.2 -6 Pending
183 Anthony Edwards MIN MIA @ MIN 3-Pointers Made 3.5 0 D -7.9 -6 Pending
184 Onyeka Okongwu ATL ATL @ ORL 3-Pointers Made 1.5 0 D -9 -6 Pending
185 Cooper Flagg DAL HOU @ DAL 3-Pointers Made 1.5 0 D -11.9 -6 Pending
186 Devin Booker PHX PHX @ POR 3-Pointers Made 1.5 0 D -9.9 -6 Pending
187 Collin Gillespie PHX PHX @ POR 3-Pointers Made 2.5 0 D -11.3 -6 Pending
188 Paolo Banchero ORL GSV @ ATL 3-Pointers Made 1.5 0 D -10.8 -6 Pending
189 Jalen Suggs ORL GSV @ ATL 3-Pointers Made 2.5 0 D -8.6 -6 Pending
190 Jalen Johnson ATL ATL @ ORL 3-Pointers Made 1.5 0 D -8.5 -6 Pending
191 Brook Lopez LAC LAC @ SAC 3-Pointers Made 1.5 0 D -10.3 -6 Pending
192 Jaxson Hayes UTA UTA @ MEM Points 7.5 0 D -12.6 -5 Pending
193 Joan Beringer MIN MIA @ MIN Rebounds 5.5 0 D -11 -5 Pending
194 De'Anthony Melton GSW GSW @ LAL Rebounds 3.5 0 D -12.3 -5 Pending
195 Keon Ellis BKN CHA @ BKN 3-Pointers Made 1.5 0 D -20 -6 Pending
196 Ayo Dosunmu MIN MIA @ MIN Rebounds 2.5 0 D -11.9 -5 Pending
197 Zaccharie Risacher DAL HOU @ DAL Points 8.5 0 D -13.2 -5 Pending
198 Zaccharie Risacher DAL HOU @ DAL Assists 1.5 0 D -14.6 -5 Pending
199 P.J. Washington DAL HOU @ DAL 3-Pointers Made 1.5 0 D -20 -6 Pending
200 Darius Acuff Jr. SAC LAC @ SAC 3-Pointers Made 2.5 0 D 2.1 -6 Pending
Showing 176–200 of 569 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.