📡 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 |
← May 11 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
28
Total Bases 1.5 OVER
49.5 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
63
Clean
17.9
Fit
0
30
Total Bases 1.5 OVER
48 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
58
Clean
18.9
Fit
0
33
Total Bases 1.5 OVER
44.5 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
50
Clean
19.5
Fit
0
35
Runs Batted In 0.5 OVER
44.1 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
53
Clean
17.2
Fit
0

📋 Full Board (567 picks · Page 15/23)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
422 Sebastian Rivero LAA CLE @ LAA Runs 1.5 5.8 D 9.2 -5 Pending
423 Vaughn Grissom LAA CLE @ LAA Runs 1.5 5.8 D 9.2 -5 Pending
425 Patrick Bailey CLE CLE @ LAA Total Bases 1.5 5.8 D 9.2 -5 Pending
426 Alex Freeland LAD LAD @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
427 Brandon Valenzuela TOR TOR @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
428 Corbin Carroll AZ ARI @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
429 Ernie Clement TOR TOR @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
430 Freddie Freeman LAD LAD @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
431 Heliot Ramos SF SF @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
432 Hunter Feduccia TB TB @ TOR Runs 0.5 5.8 D 9.2 -5 Pending
433 Jesus Rodriguez SF SF @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
434 Jesus Sanchez TOR TOR @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
435 Kazuma Okamoto TOR TOR @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
436 Lenyn Sosa TOR TOR @ TB Hits 0.5 5.8 D 9.2 -5 Pending
437 Leody Taveras BAL NYY @ BAL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
438 Max Muncy LAD LAD @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
439 Mookie Betts LAD LAD @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
440 Nolan Arenado AZ ARI @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
441 Teoscar Hernandez LAD LAD @ SF Runs 0.5 5.8 D 9.2 -5 Pending
442 Will Smith LAD LAD @ SF Total Bases 1.5 5.8 D 9.2 -5 Pending
443 Sebastian Rivero LAA CLE @ LAA Runs Batted In 1.5 5.8 D 9.2 -5 Pending
444 Jesus Rodriguez SF SF @ LAD Total Bases 2.5 5.7 D 9.5 -5 Pending
445 Ezequiel Duran TEX TEX @ ARI Runs 1.5 5.6 D 9.2 -5 Pending
446 Joc Pederson TEX TEX @ ARI Runs Batted In 1.5 5.6 D 9.2 -5 Pending
447 Brandon Valenzuela TOR TOR @ TB Hits 1.5 5.5 D 9.2 -5 Pending
Showing 351–375 of 567 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.