📡 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 20 – Oct 26
Wins
20
Losses
16
Win %
55.6%
Pending
6
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 13/22)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
301 Davion Mitchell MIA DAL @ PHI Assists 6.5 0 D -2.2 -5 Pending
302 Donovan Mitchell CLE MIN @ CLE 3-Pointers Made 2.5 0 D -10.5 -6 Pending
303 Ryan Rollins MIL IND @ MIL 3-Pointers Made 1.5 0 D -20 -6 Pending
304 Kasparas Jakucionis MIL IND @ MIL 3-Pointers Made 1.5 0 D -20 -6 Pending
305 Cason Wallace OKC OKC @ PHX 3-Pointers Made 1.5 0 D -10 -6 Pending
306 Neemias Queta BOS CHI @ BOS Points 10.5 0 D -1 -5 Pending
307 Jordan Goodwin PHX OKC @ PHX Rebounds 3.5 0 D -14.6 -5 Pending
308 P.J. Washington DAL MIA @ DAL 3-Pointers Made 1.5 0 D -20 -6 Pending
309 Stephen Curry GSW DEN @ GSW Points 25.5 0 D -0.2 -5 Pending
310 Andrew Wiggins MIA DAL @ PHI Rebounds 4.5 0 D -1.7 -5 Pending
311 Sam Merrill CLE MIN @ CLE 3-Pointers Made 1.5 0 D -20 -6 Pending
312 Naz Reid CHA WSH @ CHA Rebounds 7.5 0 D -0.1 -5 Pending
313 Khaman Maluach PHX OKC @ PHX Points 7.5 0 D -12 -5 Pending
314 Alex Sarr WSH WSH @ CHA Assists 2.5 0 D -3.5 -5 Pending
315 Paul George BOS CHI @ BOS 3-Pointers Made 3.5 0 D -7.1 -6 Pending
316 Payton Pritchard BOS CHI @ BOS 3-Pointers Made 2.5 0 D -8.4 -6 Pending
317 Norman Powell CHI CHI @ BOS Assists 1.5 0 D -14.2 -5 Pending
318 Miles Bridges PHX OKC @ PHX Points 14.5 0 D -2.2 -5 Pending
319 Jerami Grant MEM UTA @ MEM Points 11.5 0 D -10.8 -5 Pending
320 Veronica Burton ATL @ GSV Rebounds 3.5 0 D -0.3 -5 Pending
321 Alex Sarr WSH WSH @ CHA Rebounds 6.5 0 D -0.9 -5 Pending
322 Kaila Charles ATL @ GSV Rebounds 4.5 0 D 0.6 -5 Pending
323 Sion James CHA WSH @ CHA Assists 2.5 0 D -1.6 -5 Pending
324 Tre Jones CHI CHI @ BOS Rebounds 2.5 0 D -1.3 -5 Pending
325 Jalen Johnson ATL ATL @ HOU Rebounds 9.5 0 D 1 -5 Pending
Showing 301–325 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.