📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Sep 27 – Oct 26 →
Wins
61
Losses
103
Push
1
Win %
37.2%
Pending
0
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 Wed 10/14 Tue 10/13
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 11.5 OVER
75.2 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 (528 picks · Page 11/22)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
251 Jaden McDaniels MIN MIN @ CLE 3-Pointers Made 1.5 0 D -10 -6 Pending
252 Ayo Dosunmu MIN MIN @ CLE 3-Pointers Made 0.5 0 D -20 -6 Pending
253 Aaron Wiggins ATL ATL @ HOU 3-Pointers Made 1.5 0 D -20 -6 Pending
254 Anthony Edwards MIN MIN @ CLE 3-Pointers Made 3.5 0 D -7.9 -6 Pending
255 Bam Adebayo MIA DAL @ PHI 3-Pointers Made 1.5 0 D -9.7 -6 Pending
256 Sion James CHA WSH @ CHA 3-Pointers Made 1.5 0 D -9.1 -6 Pending
257 Tre Johnson WSH WSH @ CHA 3-Pointers Made 1.5 0 D -20 -6 Pending
258 De'Anthony Melton GSW DEN @ GSW Rebounds 2.5 0 D -12.3 -5 Pending
259 Ayo Dosunmu MIN MIN @ CLE Rebounds 3.5 0 D -11.9 -5 Pending
260 Brandon Miller CHA WSH @ CHA 3-Pointers Made 3.5 0 D -6.5 -6 Pending
261 Andrew Wiggins MIA DAL @ PHI 3-Pointers Made 1.5 0 D -10.6 -6 Pending
262 Leonard Miller CHI CHI @ BOS 3-Pointers Made 1.5 0 D -7.9 -6 Pending
263 Tyler Herro MIL MIL @ IND 3-Pointers Made 2.5 0 D -7.8 -6 Pending
264 Jock Landale ATL ATL @ HOU 3-Pointers Made 0.5 0 D -20 -6 Pending
265 Bilal Coulibaly WSH WSH @ CHA 3-Pointers Made 1.5 0 D -20 -6 Pending
266 Kyshawn George WSH WSH @ CHA 3-Pointers Made 1.5 0 D -20 -6 Pending
267 Tim Hardaway Jr. MIA DAL @ PHI 3-Pointers Made 1.5 0 D -20 -6 Pending
268 Jalen Green PHX OKC @ PHX 3-Pointers Made 2.5 0 D -8.1 -6 Pending
269 Davion Mitchell MIA DAL @ PHI 3-Pointers Made 1.5 0 D -11.4 -6 Pending
270 Draymond Green GSW DEN @ GSW Assists 6.5 0 D -11.6 -5 Pending
271 Anthony Davis WSH WSH @ CHA 3-Pointers Made 0.5 0 D -20 -6 Pending
272 Pelle Larsson MIA DAL @ PHI Points 10.5 0 D -12.8 -5 Pending
273 Shai Gilgeous-Alexander OKC OKC @ PHX 3-Pointers Made 1.5 0 D -8.5 -6 Pending
274 De'Anthony Melton GSW DEN @ GSW 3-Pointers Made 1.5 0 D -20 -6 Pending
275 LaMelo Ball MIN MIN @ CLE 3-Pointers Made 3.5 0 D -8.2 -6 Pending
Showing 251–275 of 528 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.