📡 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 8 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
Sat 10/10 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
3
Runs Batted In 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
23.2
Fit
0
4
Hits 0.5 OVER
61.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
23.2
Fit
0

📋 Full Board (1314 picks · Page 22/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
526 Weston Wilson SEA SEA @ TEX Runs 0.5 18 D 9.2 -5 Pending
527 A.J. Ewing MIA MIA @ NYM Total Bases 1.5 17.9 D 10.8 -5 Pending
528 Ian Happ MIL MIL @ CHC Runs 0.5 17.8 D 9.2 -5 Pending
529 Michael Conforto MIL MIL @ CHC Runs 0.5 17.8 D 9.2 -5 Pending
530 Pedro Ramirez MIL MIL @ CHC Runs 0.5 17.8 D 9.2 -5 Pending
531 Elias Diaz SEA SEA @ TEX Runs 0.5 17.7 D 9.2 -5 Pending
532 Christian Moore BOS BOS @ LAA Hits 0.5 17.5 D 10.3 -5 Pending
533 Jahmai Jones BOS BOS @ LAA Hits 0.5 17.5 D 10.3 -5 Pending
534 Christian Yelich MIL MIL @ CHC Total Bases 1.5 17.2 D 10.3 -5 Pending
535 Andrew Knizner SF SF @ STL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
536 Christian Koss SF SF @ STL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
537 Christian Yelich MIL MIL @ CHC Home Runs 0.5 17.1 D 9.2 -5 Pending
538 Connor Norby NYY NYY @ COL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
539 Dane Myers LAD LAD @ CIN Home Runs 0.5 17.1 D 9.2 -5 Pending
540 Enrique Hernandez LAD LAD @ CIN Runs Batted In 0.5 17.1 D 9.2 -5 Pending
541 Ezequiel Tovar NYY NYY @ COL Runs 0.5 17.1 D 9.2 -5 Pending
542 Ezequiel Tovar NYY NYY @ COL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
543 George Lombard Jr. NYY NYY @ COL Runs 0.5 17.1 D 9.2 -5 Pending
544 George Lombard Jr. NYY NYY @ COL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
545 Jonah Cox SF SF @ STL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
546 Jung Hoo Lee SF SF @ STL Runs 0.5 17.1 D 9.2 -5 Pending
547 Ke'Bryan Hayes LAD LAD @ CIN Home Runs 0.5 17.1 D 9.2 -5 Pending
548 Ke'Bryan Hayes LAD LAD @ CIN Runs Batted In 0.5 17.1 D 9.2 -5 Pending
549 Luis Garcia Jr. NYY NYY @ COL Runs Batted In 0.5 17.1 D 9.2 -5 Pending
550 Miguel Rojas LAD LAD @ CIN Runs 0.5 17.1 D 9.2 -5 Pending
Showing 526–550 of 1314 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.