📡 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 |
← May 23 – May 29 →
Wins
9
Losses
32
Push
1
Win %
22%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/18 Sat 10/17
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Andy Pages
LAD PHI @ LAD MLB
Total Bases 1.5 OVER
51.4 C
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
20.1
Fit
0
2
Ketel Marte
AZ ARI @ SEA MLB
Total Bases 1.5 OVER
50.7 C
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
21.4
Fit
0
3
Nathaniel Lowe
CIN ATL @ CIN MLB
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
4
Andy Pages
LAD PHI @ LAD MLB
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
57
Clean
19.9
Fit
0

📋 Full Board (1358 picks · Page 2/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
26 Freddie Freeman LAD PHI @ LAD Total Bases 1.5 42.4 D 18.8 0 Pending
27 Chase Meidroth CWS DET @ CWS Total Bases 1.5 42.2 D 19.2 0 Pending
28 Munetaka Murakami CWS DET @ CWS Hits 0.5 41.7 D 19.4 0 Pending
29 Munetaka Murakami CWS DET @ CWS Runs Batted In 0.5 41.7 D 19.4 0 Pending
30 Tyler Stephenson CIN ATL @ CIN Hits 0.5 41.7 D 19.4 0 Pending
31 Jonathan Aranda TB LAA @ TB Total Bases 1.5 41.6 D 19.5 0 Pending
32 Josh Naylor SEA ARI @ SEA Hits 0.5 41.5 D 19.8 0 Pending
33 Kyle Schwarber PHI PHI @ LAD Hits 0.5 41.5 D 19.8 0 Pending
34 Leody Taveras BAL TOR @ BAL Hits 0.5 41.5 D 19.8 0 Pending
35 Willi Castro COL SF @ COL Hits 0.5 41.5 D 19.8 0 Pending
36 Drew Gilbert SF SF @ COL Hits 0.5 41.5 D 20.2 0 Pending
37 Gabriel Moreno AZ ARI @ SEA Hits 0.5 41.5 D 20.2 0 Pending
38 Geraldo Perdomo AZ ARI @ SEA Runs 0.5 41.5 D 20.2 0 Pending
39 Kazuma Okamoto TOR TOR @ BAL Hits 0.5 41.5 D 20.2 0 Pending
40 Nolan Arenado AZ ARI @ SEA Hits 0.5 41.5 D 20.2 0 Pending
41 Trent Grisham NYY NYY @ OAK Hits 0.5 41.2 D 19.3 0 Pending
42 Bobby Witt Jr. KC KC @ TEX Total Bases 1.5 40.8 D 19.5 0 Pending
43 Nathaniel Lowe CIN ATL @ CIN Total Bases 1.5 40.6 D 19.5 0 Pending
44 Cody Bellinger NYY NYY @ OAK Hits 0.5 40.5 D 19.5 0 Pending
45 J.T. Realmuto PHI PHI @ LAD Hits 0.5 40.5 D 19.5 0 Pending
46 Jazz Chisholm Jr. NYY NYY @ OAK Hits 0.5 40.5 D 19.5 0 Pending
47 Jeremy Pena HOU MIL @ HOU Runs 0.5 40.5 D 19.5 0 Pending
48 Tyler Soderstrom OAK NYY @ OAK Hits 0.5 40.5 D 19.5 0 Pending
49 Ian Happ CHC CHC @ STL Total Bases 1.5 40.4 D 18.8 0 Pending
50 Alex Bregman CHC CHC @ STL Total Bases 1.5 40.4 D 20.5 0 Pending
Showing 26–50 of 1358 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.