📡 SCORES
🏈 Loading...

⚡ 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
1
Points 19.5 OVER
78.1 B+
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
27.8
Fit
4
2
Assists 1.5 OVER
77.6 B+
  • Stable player role
Raw
75
Clean
26.9
Fit
5
3
Points 15.5 OVER
73 B
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
27.5
Fit
4
4
Points 12.5 OVER
72.1 B
  • Stable player role
Raw
69
Clean
26.9
Fit
4

📋 Full Board (676 picks · Page 22/28)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
526 Danny Jansen TEX TEX @ ARI Total Bases 2.5 3.6 D 9.2 -5 Pending
527 Jaylon Tyson CLE DET @ CLE Rebounds 4.5 3.5 D -0.5 -5 Pending
528 Adrian Del Castillo AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
529 Andres Gimenez TOR TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
530 Cedric Mullins TB TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
531 Chandler Simpson TB TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
532 Daulton Varsho TOR TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
533 Drew Gilbert SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
534 Gabriel Moreno AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
535 George Springer TOR TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
536 Geraldo Perdomo AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
537 Hunter Feduccia TB TB @ TOR Runs Batted In 0.5 3.2 D 9.2 -5 Pending
538 Ildemaro Vargas AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
539 Jake Fraley TB TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
540 Jonathan Aranda TB TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
541 Jung Hoo Lee SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
542 Ketel Marte AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
543 Kyle Tucker LAD LAD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
544 Lenyn Sosa TOR TOR @ TB Runs 0.5 3.2 D 9.2 -5 Pending
545 Lenyn Sosa TOR TOR @ TB Runs Batted In 0.5 3.2 D 9.2 -5 Pending
546 Lourdes Gurriel Jr. AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
547 Luis Arraez SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
548 Matt Chapman SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
549 Myles Straw TOR TOR @ TB Runs 0.5 3.2 D 9.2 -5 Pending
550 Myles Straw TOR TOR @ TB Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 526–550 of 676 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.