📡 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 18 →
Wins
3
Losses
3
Win %
50%
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
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 15/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
351 Chase DeLauter CLE PIT @ CLE Runs Batted In 1.5 10.5 D 11.4 -5 Pending
352 CJ Abrams WSH WSH @ OAK Hits 1.5 10.5 D 11.4 -5 Pending
353 Colson Montgomery CWS CWS @ TOR Runs 1.5 10.5 D 11.4 -5 Pending
354 Geraldo Perdomo AZ STL @ ARI Runs 1.5 10.5 D 11.4 -5 Pending
355 Ian Happ CHC MIN @ CHC Hits 1.5 10.5 D 11.4 -5 Pending
356 Jacob Young WSH WSH @ OAK Hits 1.5 10.5 D 11.4 -5 Pending
357 Jake McCarthy COL CIN @ COL Hits 1.5 10.5 D 11.4 -5 Pending
358 James Wood WSH WSH @ OAK Runs Batted In 1.5 10.5 D 11.4 -5 Pending
359 Jeremy Pena HOU BAL @ HOU Hits 1.5 10.5 D 11.4 -5 Pending
360 Jeremy Pena HOU BAL @ HOU Total Bases 1.5 10.5 D 11.4 -5 Pending
361 Liam Hicks MIA MIA @ MIL Hits 1.5 10.5 D 11.4 -5 Pending
362 Max Kepler AZ STL @ ARI Total Bases 1.5 10.5 D 11.4 -5 Pending
363 Miguel Vargas CWS CWS @ TOR Runs 1.5 10.5 D 11.4 -5 Pending
364 Nathan Lukes TOR CWS @ TOR Hits 1.5 10.5 D 11.4 -5 Pending
365 Sal Stewart CIN CIN @ COL Hits 1.5 10.5 D 11.4 -5 Pending
366 Sam Antonacci CWS CWS @ TOR Hits 1.5 10.5 D 11.4 -5 Pending
367 Steven Kwan CLE PIT @ CLE Hits 1.5 10.5 D 11.4 -5 Pending
368 Tyler Stephenson CIN CIN @ COL Hits 1.5 10.5 D 11.4 -5 Pending
369 Tyler Stephenson CIN CIN @ COL Total Bases 1.5 10.5 D 11.4 -5 Pending
370 Vladimir Guerrero Jr. TOR CWS @ TOR Hits 1.5 10.5 D 11.4 -5 Pending
371 Yainer Diaz HOU BAL @ HOU Runs 1.5 10.5 D 11.4 -5 Pending
372 Jackson Chourio MIL MIA @ MIL Total Bases 1.5 10.4 D 9.4 -5 Pending
373 Jackson Merrill SD SD @ KC Runs 0.5 10.3 D 9.2 -5 Pending
374 Luis Campusano SD SD @ KC Hits 0.5 10.3 D 9.2 -5 Pending
375 Sung-Mun Song SD SD @ KC Runs 0.5 10.3 D 9.2 -5 Pending
Showing 351–375 of 1508 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.