📡 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 |
← Sep 16 – Sep 22 →
Wins
12
Losses
17
Push
1
Win %
41.4%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ LV WNBA
Assists 3.5 OVER
65.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
22.9
Fit
5
2
LA @ LV WNBA
Points 26.5 OVER
65.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
23.1
Fit
4
3
LA @ LV WNBA
Points 21.5 OVER
64.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
23.2
Fit
4
4
TORONTO TEMPO @ CHI WNBA
Points 12.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
21.5
Fit
4

📋 Full Board (1511 picks · Page 20/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
476 Chandler Simpson TB TB @ NYY Runs Batted In 1.5 7.3 D 9.2 -5 Pending
477 Ezequiel Duran TEX NYM @ TEX Total Bases 1.5 7.3 D 9.2 -5 Pending
478 Isaac Paredes HOU HOU @ SEA Runs Batted In 1.5 7.3 D 9.2 -5 Pending
479 Jac Caglianone KC CWS @ KC Hits 1.5 7.3 D 9.2 -5 Pending
480 Jac Caglianone KC CWS @ KC Total Bases 1.5 7.3 D 9.2 -5 Pending
481 Jake Bauers MIL MIL @ PHI Runs Batted In 1.5 7.3 D 9.2 -5 Pending
482 Jake Burger TEX NYM @ TEX Runs Batted In 1.5 7.3 D 9.2 -5 Pending
483 Jeremy Pena HOU HOU @ SEA Runs Batted In 1.5 7.3 D 9.2 -5 Pending
484 Jordan Lawlar AZ ARI @ COL Runs Batted In 1.5 7.3 D 9.2 -5 Pending
485 Jose Siri LAA LAA @ OAK Hits 1.5 7.3 D 9.2 -5 Pending
486 Josue De Paula LAD SD @ LAD Runs 1.5 7.3 D 9.2 -5 Pending
487 Konnor Griffin PIT STL @ PIT Runs Batted In 1.5 7.3 D 9.2 -5 Pending
488 Mookie Betts LAD SD @ LAD Runs 1.5 7.3 D 9.2 -5 Pending
489 Gabby Williams GSV @ POR Rebounds 3.5 7.3 D 10.6 -5 Pending
490 Geraldo Perdomo AZ ARI @ COL Total Bases 2.5 6.9 D 10.1 -5 Pending
491 Cody Bellinger NYY TB @ NYY Total Bases 1.5 6.8 D 9.2 -5 Pending
492 Daniel Lynch IV KC CWS @ KC Strikeouts 4.5 6.7 D 12 -5 Pending
493 Max Scherzer TOR TOR @ BAL Strikeouts 5.5 6.7 D 10.5 -5 Pending
494 Konnor Griffin PIT STL @ PIT Hits 1.5 6.5 D 9.4 -5 Pending
495 Eugenio Suarez CIN CIN @ ATL Total Bases 1.5 6.5 D 9.2 -5 Pending
496 Francisco Alvarez NYM NYM @ TEX Runs Batted In 0.5 6.5 D 9.2 -5 Pending
497 Ben Malgeri DET WSH @ DET Total Bases 1.5 6.1 D 9.2 -5 Pending
498 Chase DeLauter CLE CLE @ BOS Total Bases 1.5 6.1 D 9.2 -5 Pending
499 Cole Carrigg COL ARI @ COL Home Runs 0.5 6.1 D 9.2 -5 Pending
500 Dylan Crews WSH WSH @ DET Total Bases 1.5 6.1 D 9.2 -5 Pending
Showing 476–500 of 1511 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.