📡 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 14 – Jul 20 →
Wins
20
Losses
15
Push
7
Win %
57.1%
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 19.5 OVER
73.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
79
Clean
23.3
Fit
4
2
NY @ DAL WNBA
Points 21.5 OVER
72 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
28.1
Fit
4
3
NY @ DAL WNBA
Rebounds 12.5 OVER
71.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
28.9
Fit
5
4
NY @ DAL WNBA
Rebounds 7.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
29
Fit
5

📋 Full Board (1515 picks · Page 15/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
351 Henry Davis PIT PIT @ NYY Runs 0.5 30.2 D 17.2 0 Pending
352 J.P. Crawford SEA CIN @ SEA Hits 0.5 30.2 D 17.2 0 Pending
353 Jacob Wilson OAK OAK @ ATHLETICS@ Runs 0.5 30.2 D 17.2 0 Pending
354 Kyle Teel CWS CWS @ TEX Runs 0.5 30.2 D 17.2 0 Pending
355 Masyn Winn STL STL @ LAA Runs Batted In 0.5 30.2 D 17.2 0 Pending
356 Nasim Nunez WSH WSH @ COL Hits 0.5 30.2 D 17.2 0 Pending
357 Pedro Ramirez CHC DET @ CHC Hits 0.5 30.2 D 17.2 0 Pending
358 Spencer Steer CIN CIN @ SEA Runs Batted In 0.5 30.2 D 17.2 0 Pending
359 Trea Turner PHI LAD @ PHI Runs 0.5 30.2 D 17.2 0 Pending
360 William Contreras MIL NYM @ MIL Runs Batted In 0.5 30.2 D 17.2 0 Pending
361 Wilyer Abreu BOS BAL @ BOS Hits 0.5 30.2 D 17.2 0 Pending
362 Wilyer Abreu BOS BAL @ BOS Home Runs 0.5 30.2 D 17.2 0 Pending
363 Jackson Merrill SD SD @ ATL Runs Batted In 0.5 29.7 D 17.2 0 Pending
364 Maria Conde LV @ TORONTO 3-Pointers Made 1.5 29.3 D 11.9 0 Pending
365 Andrés Chaparro WSH WSH @ COL Runs Batted In 0.5 29.3 D 17.2 0 Pending
366 Andrés Chaparro WSH WSH @ COL Total Bases 1.5 28.7 D 17.2 0 Pending
367 Hunter Goodman COL WSH @ COL Runs Batted In 0.5 28.3 D 17.2 0 Pending
368 Andrés Chaparro WSH WSH @ COL Runs 0.5 28 D 17.2 0 Pending
369 Colt Keith DET DET @ CHC Hits 0.5 28 D 17.2 0 Pending
370 Daylen Lile WSH WSH @ COL Runs Batted In 0.5 28 D 17.2 0 Pending
371 LaMonte Wade Jr. HOU MIA @ HOU Runs Batted In 0.5 28 D 17.2 0 Pending
372 Spencer Torkelson DET DET @ CHC Runs Batted In 0.5 28 D 17.2 0 Pending
373 TJ Rumfield COL WSH @ COL Runs Batted In 0.5 28 D 17.2 0 Pending
374 Veronica Burton WSH @ GSV Points 11.5 26.8 D 9.3 4 Pending
375 Braxton Ashcraft PIT PIT @ NYY Strikeouts 6.5 26.1 D 14.1 -5 Pending
Showing 351–375 of 1515 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.