📡 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 12 →
Wins
5
Losses
1
Win %
83.3%
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
2
Hits 0.5 OVER
55.4 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
70
Clean
20.2
Fit
0
4
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
5
Total Bases 1.5 OVER
53.4 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
67
Clean
20
Fit
0
6
Home Runs 0.5 OVER
51.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
64
Clean
19.4
Fit
0

📋 Full Board (1429 picks · Page 24/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
600 Michael Busch CHC CHC @ ATL Home Runs 0.5 10.5 D 9.2 -5 Pending
601 Moisés Ballesteros CHC CHC @ ATL Home Runs 0.5 10.5 D 9.2 -5 Pending
602 Nico Hoerner CHC CHC @ ATL Home Runs 0.5 10.5 D 9.2 -5 Pending
603 Trevor Story BOS PHI @ BOS Home Runs 0.5 10.5 D 9.2 -5 Pending
604 Juan Soto NYM NYM @ DET Runs 1.5 10.4 D 9.2 -5 Pending
605 Mark Vientos NYM NYM @ DET Runs 1.5 10.4 D 9.2 -5 Pending
606 Braden Shewmake HOU SEA @ HOU Runs 1.5 10.4 D 10.3 -5 Pending
607 CJ Abrams WSH WSH @ CIN Runs Batted In 1.5 10.3 D 9.2 -5 Pending
608 Drew Millas WSH WSH @ CIN Hits 0.5 10.3 D 9.2 -5 Pending
609 Drew Millas WSH WSH @ CIN Runs 0.5 10.3 D 9.2 -5 Pending
610 Drew Millas WSH WSH @ CIN Runs Batted In 0.5 10.3 D 9.2 -5 Pending
611 Xander Bogaerts SD SD @ MIL Total Bases 1.5 10.3 D 9.2 -5 Pending
612 James Wood WSH WSH @ CIN Total Bases 2.5 10.3 D 10.3 -5 Pending
613 Kody Clemens MIN MIA @ MIN Hits 1.5 10.3 D 9.2 -5 Pending
614 Jo Adell LAA LAA @ CLE Runs 1.5 10.3 D 9.2 -5 Pending
615 Adley Rutschman BAL NYY @ BAL Home Runs 0.5 10.2 D 9.2 -5 Pending
616 Christopher Morel MIA MIA @ MIN Home Runs 0.5 10.2 D 9.2 -5 Pending
617 Connor Norby MIA MIA @ MIN Home Runs 0.5 10.2 D 9.2 -5 Pending
618 Joe Mack MIA MIA @ MIN Home Runs 0.5 10.2 D 9.2 -5 Pending
619 Otto Lopez MIA MIA @ MIN Home Runs 0.5 10.2 D 9.2 -5 Pending
620 Owen Caissie MIA MIA @ MIN Home Runs 0.5 10.2 D 9.2 -5 Pending
621 Sal Stewart CIN CIN @ WSH Total Bases 2.5 10.2 D 10.1 -5 Pending
622 Vaughn Grissom LAA LAA @ CLE Runs Batted In 1.5 10.2 D 9.2 -5 Pending
623 Kyle Manzardo CLE LAA @ CLE Hits 1.5 10.2 D 10.3 -5 Pending
624 Travis Bazzana CLE LAA @ CLE Hits 1.5 10.2 D 10.3 -5 Pending
Showing 576–600 of 1429 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.