📡 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 |
← Apr 21 →
Wins
4
Losses
16
Win %
20%
Pending
0
Thu 11/5 Wed 11/4 Mon 11/2 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
10
Home Runs 0.5 OVER
57.1 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
11
Total Bases 1.5 OVER
56.8 C
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
21.4
Fit
0
12
Total Bases 1.5 OVER
56.6 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
72
Clean
20.7
Fit
0
13
Total Bases 1.5 OVER
55.3 C
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
20.1
Fit
0

📋 Full Board (1402 picks · Page 22/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
564 Carson Kelly CHC PHI @ CHC Home Runs 0.5 12.7 D 9.2 -5 Pending
565 Dansby Swanson CHC PHI @ CHC Home Runs 0.5 12.7 D 9.2 -5 Pending
566 Ian Happ CHC PHI @ CHC Home Runs 0.5 12.7 D 9.2 -5 Pending
567 Nico Hoerner CHC PHI @ CHC Home Runs 0.5 12.7 D 9.2 -5 Pending
568 Sal Frelick MIL MIL @ DET Total Bases 1.5 12.7 D 12.2 -5 Pending
569 Josh Jung TEX PIT @ TEX Runs 0.5 12.6 D 9.2 -5 Pending
570 Agustín Ramírez MIA STL @ MIA Runs 1.5 12.6 D 9.2 -5 Pending
571 Connor Norby MIA STL @ MIA Runs 1.5 12.6 D 9.2 -5 Pending
572 Connor Norby MIA STL @ MIA Runs Batted In 1.5 12.6 D 9.2 -5 Pending
573 Graham Pauley MIA STL @ MIA Runs 1.5 12.6 D 9.2 -5 Pending
574 Graham Pauley MIA STL @ MIA Runs Batted In 1.5 12.6 D 9.2 -5 Pending
575 Owen Caissie MIA STL @ MIA Runs 1.5 12.6 D 9.2 -5 Pending
576 Owen Caissie MIA STL @ MIA Runs Batted In 1.5 12.6 D 9.2 -5 Pending
577 Xavier Edwards MIA STL @ MIA Runs Batted In 1.5 12.6 D 9.2 -5 Pending
578 Alek Thomas AZ CWS @ ARI Total Bases 1.5 12.5 D 10.1 -5 Pending
579 Logan O'Hoppe LAA TOR @ LAA Total Bases 1.5 12.5 D 9.2 -5 Pending
580 JJ Wetherholt STL STL @ MIA Runs 1.5 12.5 D 9.2 -5 Pending
581 Eugenio Suarez CIN CIN @ TB Hits 1.5 12.5 D 9.8 -5 Pending
582 Rece Hinds CIN CIN @ TB Runs Batted In 1.5 12.5 D 9.8 -5 Pending
583 Rece Hinds CIN CIN @ TB Total Bases 1.5 12.5 D 9.8 -5 Pending
584 Reynaldo Lopez ATL ATL @ WSH Strikeouts 5.5 12.4 D 12.1 -5 Pending
585 Carlos Correa HOU CLE @ HOU Runs Batted In 1.5 12.3 D 9.2 -5 Pending
586 Shay Whitcomb HOU CLE @ HOU Runs Batted In 1.5 12.3 D 9.2 -5 Pending
587 Brandon Nimmo TEX PIT @ TEX Runs 0.5 12.3 D 9.2 -5 Pending
588 Kyle Higashioka TEX PIT @ TEX Runs 0.5 12.3 D 9.2 -5 Pending
Showing 526–550 of 1402 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.