📡 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 17 – Sep 23 →
Wins
15
Losses
20
Push
1
Win %
42.9%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Fri 9/25 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
DeWanna Bonner
NYK NYK @ ATL WNBA
Rebounds 3.5 OVER
72.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.6
Fit
5
2
DeWanna Bonner
NYK NYK @ ATL WNBA
Points 7.5 OVER
69.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
21.8
Fit
4
3
Jordin Canada
NYK NYK @ ATL WNBA
Assists 7.5 OVER
64.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
5
4
Drake Baldwin
ATL ATL @ CIN MLB
Hits 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.3
Fit
0

📋 Full Board (1457 picks · Page 3/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
51 Trea Turner PHI PHI @ MIL Runs 0.5 49.1 D 20.2 0 Pending
52 Arike Ogunbowale SEA SEA @ DAL Assists 3.5 49 D 11.6 5 Pending
53 Zack Gelof OAK OAK @ LAA Total Bases 1.5 48.8 D 20.4 0 Pending
54 Brooks Lee SF SF @ MIN Hits 0.5 48.7 D 20.7 0 Pending
55 Ronald Acuna Jr. ATL ATL @ CIN Runs Batted In 0.5 48.5 D 17.6 0 Pending
56 Josh Jung TEX TEX @ NYM Total Bases 1.5 48.5 D 18.8 0 Pending
57 Francisco Alvarez TEX TEX @ NYM Hits 0.5 48.2 D 18.3 0 Pending
58 Brandon Lowe PIT PIT @ STL Runs Batted In 0.5 48.1 D 17.8 0 Pending
59 Drake Baldwin ATL ATL @ CIN Runs 0.5 48.1 D 17.8 0 Pending
60 Elly De La Cruz ATL ATL @ CIN Hits 0.5 48.1 D 17.8 0 Pending
61 Matt Olson ATL ATL @ CIN Total Bases 1.5 48 D 17.6 0 Pending
62 Luis Torrens TEX TEX @ NYM Runs Batted In 0.5 48 D 17.2 0 Pending
63 Yordan Alvarez SEA SEA @ HOU Hits 0.5 47.8 D 21.4 0 Pending
64 Carson Benge TEX TEX @ NYM Runs Batted In 0.5 47.5 D 17.6 0 Pending
65 Alec Bohm PHI PHI @ MIL Hits 0.5 47.3 D 19.8 0 Pending
66 Jake Bauers PHI PHI @ MIL Hits 0.5 47.3 D 20.2 0 Pending
67 Dansby Swanson CHC CHC @ MIA Runs 0.5 47.2 D 17.6 0 Pending
68 Henry Davis PIT PIT @ STL Runs Batted In 0.5 47.2 D 17.6 0 Pending
69 Ivan Herrera PIT PIT @ STL Runs Batted In 0.5 47.2 D 17.6 0 Pending
70 Jakob Marsee CHC CHC @ MIA Runs 0.5 47.2 D 17.6 0 Pending
71 Joe Mack CHC CHC @ MIA Runs Batted In 0.5 47.2 D 17.6 0 Pending
72 Michael Busch CHC CHC @ MIA Runs 0.5 47.2 D 17.6 0 Pending
73 Pedro Ramirez CHC CHC @ MIA Runs Batted In 0.5 47.2 D 17.6 0 Pending
74 Sal Stewart ATL ATL @ CIN Hits 0.5 47.2 D 17.6 0 Pending
75 Seiya Suzuki CHC CHC @ MIA Runs Batted In 0.5 47.2 D 17.6 0 Pending
Showing 51–75 of 1457 picks
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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.