📡 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 21 →
Wins
5
Losses
1
Win %
83.3%
Pending
0
Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9
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 13/23)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
301 Anthony Edwards MIN MIA @ MIN Points 28.5 0 D 1.1 -5 Pending
302 Isaiah Collier UTA UTA @ MEM Rebounds 2.5 0 D -14.6 -5 Pending
303 Kris Dunn LAC LAC @ SAC Points 8.5 0 D -0.7 -5 Pending
304 Jarace Walker IND IND @ NOP Points 10.5 0 D -12 -5 Pending
305 Pelle Larsson MIA MIA @ MIN Points 11.5 0 D -12.8 -5 Pending
306 Jalen Johnson ATL ATL @ ORL Assists 7.5 0 D 1.4 -5 Pending
307 Grayson Allen CHA CHA @ BKN 3-Pointers Made 2.5 0 D -20 -6 Pending
308 Isobel Borlase GSV @ ATL Points 3.5 0 D -13.2 -5 Pending
309 Jarace Walker IND IND @ NOP 3-Pointers Made 1.5 0 D -20 -6 Pending
310 Scottie Barnes TOR CHI @ TOR 3-Pointers Made 0.5 0 D -9.9 -6 Pending
311 Isaiah Collier UTA UTA @ MEM Assists 4.5 0 D -14.6 -5 Pending
312 Franz Wagner ORL GSV @ ATL 3-Pointers Made 1.5 0 D -20 -6 Pending
313 Jamal Shead TOR CHI @ TOR Rebounds 1.5 0 D -2.1 -5 Pending
314 Tre Johnson WSH MIL @ WSH 3-Pointers Made 1.5 0 D -20 -6 Pending
315 Kawhi Leonard TOR CHI @ TOR Points 25.5 0 D -0.6 -5 Pending
316 Bennedict Mathurin NOP IND @ NOP Assists 1.5 0 D -13.4 -5 Pending
317 Sandro Mamukelashvili LAL GSW @ LAL 3-Pointers Made 1.5 0 D -20 -6 Pending
318 Darius Garland LAC LAC @ SAC Points 23.5 0 D -1.3 -5 Pending
319 Khaman Maluach PHX PHX @ POR Rebounds 9.5 0 D -14.1 -5 Pending
320 Darius Garland LAC LAC @ SAC Assists 8.5 0 D -1.3 -5 Pending
321 Toumani Camara POR PHX @ POR Points 11.5 0 D -0.7 -5 Pending
322 Jalen Johnson ATL ATL @ ORL Rebounds 10.5 0 D 1 -5 Pending
323 Tyler Herro MIL MIL @ WSH Rebounds 4.5 0 D -1.1 -5 Pending
324 Andrew Wiggins MIA MIA @ MIN Points 13.5 0 D -1.6 -5 Pending
325 Egor Demin BKN CHA @ BKN 3-Pointers Made 2.5 0 D -20 -6 Pending
Showing 301–325 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.