📡 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 21 – Oct 4 →
Wins
25
Losses
43
Push
1
Win %
36.8%
Pending
0
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
17
Total Bases 1.5 OVER
51.5 C
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22
Fit
0
18
Total Bases 1.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
24
SD SD @ MIL MLB
Total Bases 1.5 OVER
43.3 D
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
21.1
Fit
0
26
Hits 0.5 OVER
40 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
41
Clean
19.4
Fit
0

📋 Full Board (157 picks · Page 1/7)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
17 Xander Bogaerts SD SD @ MIL Total Bases 1.5 51.5 C 22 0 Pending
18 Jackson Merrill SD SD @ MIL Total Bases 1.5 50.9 C 23.2 0 Pending
24 Ty France SD SD @ MIL Total Bases 1.5 43.3 D 21.1 0 Pending
26 David Hamilton MIL SD @ MIL Hits 0.5 40 D 19.4 0 Pending
27 Sean Murphy ATL ATL @ LAD Hits 0.5 40 D 19.4 0 Pending
30 Ozzie Albies ATL ATL @ LAD Total Bases 1.5 37.9 D 19.1 0 Pending
31 Manny Machado SD SD @ MIL Total Bases 1.5 37.8 D 19 0 Pending
32 Michael Harris II ATL ATL @ LAD Total Bases 1.5 37.4 D 18.6 0 Pending
33 Sean Murphy ATL ATL @ LAD Runs 0.5 37 D 19 0 Pending
34 Teoscar Hernandez LAD ATL @ LAD Total Bases 1.5 35.7 D 17.9 0 Pending
37 Ha-Seong Kim ATL ATL @ LAD Runs 0.5 33.3 D 17.6 0 Pending
38 Luis Campusano SD SD @ MIL Hits 0.5 33.3 D 17.6 0 Pending
39 Teoscar Hernandez LAD ATL @ LAD Hits 0.5 33.3 D 17.6 0 Pending
40 Kyle Tucker LAD ATL @ LAD Total Bases 1.5 33 D 18.4 0 Pending
41 Drake Baldwin ATL ATL @ LAD Total Bases 1.5 30.5 D 17.2 0 Pending
44 Teoscar Hernandez LAD ATL @ LAD Runs 0.5 29.2 D 17.2 0 Pending
47 Jackson Merrill SD SD @ MIL Hits 1.5 20.4 D 13.4 -5 Pending
48 Kyle Tucker LAD ATL @ LAD Runs 1.5 17 D 15.2 -5 Pending
49 Shohei Ohtani LAD ATL @ LAD Total Bases 1.5 17 D 15.2 -5 Pending
50 Xander Bogaerts SD SD @ MIL Runs 1.5 17 D 15.2 -5 Pending
51 Ty France SD SD @ MIL Hits 1.5 16.4 D 11.8 -5 Pending
52 Xander Bogaerts SD SD @ MIL Hits 1.5 16.4 D 11.8 -5 Pending
53 Brice Turang MIL SD @ MIL Hits 1.5 15.5 D 12.2 -5 Pending
54 Jackson Chourio MIL SD @ MIL Hits 1.5 15.5 D 12.2 -5 Pending
55 Ty France SD SD @ MIL Runs 1.5 15.4 D 13.1 -5 Pending
Showing 1–25 of 157 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.