📡 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 26 – Jun 1 →
Wins
9
Losses
22
Push
5
Win %
29%
Pending
0
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 Fri 10/16
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
46.9 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.9
Fit
0
2
Total Bases 1.5 OVER
45.2 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
51
Clean
19.9
Fit
0
3
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.4
Fit
0
4
Total Bases 1.5 OVER
43.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
47
Clean
19.8
Fit
0

📋 Full Board (837 picks · Page 1/34)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1 Josh Jung TEX TEX @ STL Total Bases 1.5 46.9 D 19.9 0 Pending
2 JJ Bleday CIN KC @ CIN Total Bases 1.5 45.2 D 19.9 0 Pending
3 Jonathan Aranda TB DET @ TB Total Bases 1.5 43.9 D 20.4 0 Pending
4 Tristan Peters CWS CWS @ MIN Total Bases 1.5 43.3 D 19.8 0 Pending
5 Colson Montgomery CWS CWS @ MIN Total Bases 1.5 42.9 D 19.2 0 Pending
6 Tyler Stephenson CIN KC @ CIN Total Bases 1.5 42.4 D 19.6 0 Pending
7 Juan Soto NYM NYM @ SEA Total Bases 1.5 42.3 D 19.8 0 Pending
8 Freddie Freeman LAD LAD @ ARI Total Bases 1.5 40.6 D 19.5 0 Pending
9 Jung Hoo Lee SF SF @ MIL Total Bases 1.5 40.5 D 19.6 0 Pending
10 Casey Schmitt SF SF @ MIL Total Bases 1.5 40.1 D 19.1 0 Pending
11 Keibert Ruiz WSH MIA @ WSH Total Bases 1.5 39.1 D 18.8 0 Pending
12 Tyler Freeman COL COL @ LAA Total Bases 1.5 39 D 19.9 0 Pending
13 Jung Hoo Lee SF SF @ MIL Hits 1.5 38.9 D 19.5 0 Pending
14 Owen Caissie MIA MIA @ WSH Total Bases 1.5 38.8 D 18.8 0 Pending
15 Julio Rodriguez SEA NYM @ SEA Total Bases 1.5 38.8 D 18.7 0 Pending
16 Joc Pederson TEX TEX @ STL Total Bases 1.5 38.7 D 17.3 0 Pending
17 Andy Pages LAD LAD @ ARI Total Bases 2.5 38.4 D 18.4 0 Pending
18 Nathaniel Lowe CIN KC @ CIN Total Bases 1.5 38.2 D 18.6 0 Pending
19 Will Smith LAD LAD @ ARI Total Bases 1.5 38.2 D 18.6 0 Pending
20 Willy Adames SF SF @ MIL Total Bases 1.5 37 D 18 0 Pending
21 Junior Caminero TB DET @ TB Total Bases 1.5 36.8 D 19 0 Pending
22 Chase Meidroth CWS CWS @ MIN Total Bases 1.5 36.7 D 18.2 0 Pending
23 Joc Pederson TEX TEX @ STL Home Runs 0.5 36.7 D 17.6 0 Pending
24 James Wood WSH MIA @ WSH Total Bases 1.5 36.1 D 18.2 0 Pending
25 Bryce Eldridge SF SF @ MIL Hits 0.5 36.1 D 17.4 0 Pending
Showing 1–25 of 837 picks
← Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 Next →

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.