📡 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 11 – Aug 9 →
Wins
73
Losses
57
Push
49
Win %
56.2%
Pending
0
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 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ WSH WNBA
Rebounds 7.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.9
Fit
5
2
PHX @ WSH WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
3
PHX @ WSH WNBA
Points 14.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
28
Fit
4
4
PHX @ WSH WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1555 picks · Page 14/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
326 Jakob Marsee MIA LAA @ MIA Total Bases 1.5 15.9 D 11.4 -5 Pending
327 Justin Crawford PHI TOR @ PHI Total Bases 1.5 15.9 D 11.4 -5 Pending
328 Nick Gonzales PIT NYM @ PIT Total Bases 1.5 15.9 D 11.4 -5 Pending
329 Pete Crow-Armstrong CHC CHC @ KC Hits 1.5 15.9 D 11.4 -5 Pending
330 Wade Meckler LAA LAA @ MIA Total Bases 1.5 15.9 D 11.4 -5 Pending
331 Blaze Jordan STL COL @ STL Total Bases 1.5 15.5 D 12.2 -5 Pending
332 Caleb Durbin BOS BOS @ ATHLETICS@ Hits 1.5 15.5 D 12.2 -5 Pending
333 Christian Walker HOU HOU @ SD Total Bases 1.5 15.5 D 12.2 -5 Pending
334 Andrew Vaughn MIL MIN @ MIL Hits 1.5 14.9 D 13.2 -5 Pending
335 Andrew Vaughn MIL MIN @ MIL Runs Batted In 1.5 14.9 D 13.2 -5 Pending
336 Edgar Quero CWS CLE @ CWS Total Bases 1.5 14.9 D 13.2 -5 Pending
337 Javier Sanoja MIA LAA @ MIA Hits 1.5 14.9 D 13.2 -5 Pending
338 Davis Martin CWS CLE @ CWS Strikeouts 3.5 14.6 D 11.9 -5 Pending
339 Connor Prielipp MIN MIN @ MIL Strikeouts 6.5 14.4 D 13.1 -5 Pending
340 CJ Abrams WSH CIN @ WSH Total Bases 2.5 14.3 D 10.8 -5 Pending
341 Natasha Howard DAL @ MIN Assists 3.5 14.2 D 11.2 -5 Pending
342 Andrew Vaughn MIL MIN @ MIL Total Bases 1.5 13.8 D 11.3 -5 Pending
343 Georgia Amoore PHX @ WSH Assists 3.5 13.6 D 10.5 -5 Pending
344 Gabby Williams GSV @ LA Rebounds 2.5 13.4 D 10.6 -5 Pending
345 Alex Bregman CHC CHC @ KC Runs 0.5 13.4 D 10.3 -5 Pending
346 Andruw Monasterio BOS BOS @ ATHLETICS@ Runs 0.5 13.4 D 10.3 -5 Pending
347 Angel Genao CLE CLE @ CWS Runs 0.5 13.4 D 10.3 -5 Pending
348 Brayan Rocchio CLE CLE @ CWS Hits 0.5 13.4 D 10.3 -5 Pending
349 Brendan Donovan SEA TB @ SEA Hits 0.5 13.4 D 10.3 -5 Pending
350 Brenton Doyle CWS CLE @ CWS Hits 0.5 13.4 D 10.3 -5 Pending
Showing 326–350 of 1555 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.