📡 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 |
← Jul 9 – Jul 22 →
Wins
46
Losses
30
Push
8
Win %
60.5%
Pending
0
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 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ SEA WNBA
Points 18.5 OVER
72.8 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23
Fit
4
2
DAL @ POR WNBA
Rebounds 12.5 OVER
72 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
29.1
Fit
5
3
DAL @ POR WNBA
Points 20.5 OVER
69.2 B
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
CON @ IND WNBA
Points 22.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4

📋 Full Board (1610 picks · Page 14/65)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
326 Michael King SD SD @ ATL Strikeouts 4.5 24.8 D 14.6 -5 Pending
327 Dominique Malonga MIN @ SEA Rebounds 9.5 24.6 D 13.7 -5 Pending
328 Peter Lambert HOU MIA @ HOU Strikeouts 5.5 24.4 D 13.4 -5 Pending
329 Awa Fam MIN @ SEA 3-Pointers Made 1.5 24.2 D 9.8 0 Pending
330 Kahlil Watson CLE MIN @ CLE Total Bases 1.5 24.1 D 13.9 -5 Pending
331 Kahleah Copper PHX @ LA 3-Pointers Made 2.5 24.1 D 10.4 0 Pending
332 Natisha Hiedeman MIN @ SEA 3-Pointers Made 2.5 24.1 D 11.4 0 Pending
333 Breanna Stewart CHI @ NY 3-Pointers Made 0.5 23.9 D 6.1 0 Pending
334 Cameron Brink PHX @ LA Points 8.5 23.1 D 12.7 -5 Pending
335 Emily Engstler DAL @ POR Assists 2.5 22.8 D 12.4 -5 Pending
336 Emily Engstler DAL @ POR Rebounds 5.5 22.1 D 12.5 -5 Pending
337 Olivia Nelson-Ododa CON @ IND Points 11.5 21.3 D 12.8 -5 Pending
338 Flau'jae Johnson MIN @ SEA 3-Pointers Made 1.5 21.1 D 9.6 0 Pending
339 Dominique Malonga MIN @ SEA Assists 1.5 20.9 D 12.3 -5 Pending
340 Sarah Ashlee Barker DAL @ POR Rebounds 5.5 20.8 D 13.7 -5 Pending
341 Sandy Alcantara MIA MIA @ HOU Strikeouts 5.5 20.5 D 13.1 -5 Pending
342 Jake McCarthy COL WSH @ COL Hits 1.5 20.4 D 13.4 -5 Pending
343 Sophie Cunningham CON @ IND Points 8.5 20.3 D 11.3 -5 Pending
344 Christian Scott NYM NYM @ MIL Strikeouts 6.5 20.1 D 14.5 -5 Pending
345 Christian Yelich MIL NYM @ MIL Total Bases 1.5 20 D 12.2 -5 Pending
346 Sarah Ashlee Barker DAL @ POR Assists 2.5 19.9 D 13.2 -5 Pending
347 Megan Gustafson DAL @ POR 3-Pointers Made 1.5 19.8 D 1.8 0 Pending
348 Aliyah Boston CON @ IND 3-Pointers Made 1.5 19.7 D 2 0 Pending
349 Braden Montgomery CWS CWS @ TEX Total Bases 1.5 19.7 D 11.9 -5 Pending
350 Cade Cavalli WSH WSH @ COL Strikeouts 6.5 19.6 D 12.4 -5 Pending
Showing 326–350 of 1610 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.