📡 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 29 – May 5 →
Wins
26
Losses
40
Push
4
Win %
39.4%
Pending
0
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 Wed 10/21 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
11
Total Bases 1.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
81
Clean
21.6
Fit
0
15
Total Bases 1.5 OVER
57 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
18
Total Bases 1.5 OVER
54.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.9
Fit
0
19
Hits 0.5 OVER
53.9 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.4
Fit
0

📋 Full Board (1298 picks · Page 1/52)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
11 Ozzie Albies ATL ATL @ LAD@HOU Total Bases 1.5 61.8 C+ 21.6 0 Pending
15 Matt Olson ATL ATL @ LAD@HOU Total Bases 1.5 57 C+ 20.2 0 Pending
18 Otto Lopez MIA MIA @ BAL Total Bases 1.5 54.5 C 19.9 0 Pending
19 Hyeseong Kim LAD LAD @ HOU Hits 0.5 53.9 C 19.4 0 Pending
20 Teoscar Hernandez LAD LAD @ HOU Hits 0.5 53.9 C 19.4 0 Pending
28 Austin Riley ATL ATL @ LAD@HOU Total Bases 1.5 49.7 D 18.6 0 Pending
31 Xavier Edwards MIA MIA @ BAL Total Bases 1.5 49.2 D 18.6 0 Pending
32 Kyle Tucker LAD LAD @ HOU Total Bases 1.5 48.9 D 18.2 0 Pending
33 Christopher Morel MIA MIA @ BAL Hits 0.5 48.9 D 17.6 0 Pending
34 Esteury Ruiz MIA MIA @ BAL Hits 0.5 48.9 D 17.6 0 Pending
36 Jorge Mateo ATL ATL @ LAD@HOU Hits 0.5 48.1 D 17.8 0 Pending
38 Pete Alonso BAL MIA @ BAL Total Bases 1.5 46.8 D 20.7 0 Pending
39 Drew Rasmussen TB TOR @ TB Strikeouts 4.5 46.6 D 21.5 0 Pending
40 TJ Friedl CIN CHC @ CIN Total Bases 1.5 46.2 D 19 0 Pending
42 Gunnar Henderson BAL MIA @ BAL Hits 0.5 45.2 D 20.2 0 Pending
43 Pete Crow-Armstrong CHC CHC @ CIN Total Bases 1.5 44.1 D 19 0 Pending
44 Brice Turang MIL STL @ MIL Total Bases 1.5 43.5 D 19 0 Pending
45 Cody Bellinger NYY NYY @ TEX Total Bases 1.5 43.4 D 18.1 0 Pending
46 Chase DeLauter CLE CLE @ KC Hits 1.5 42.9 D 20.5 0 Pending
47 Sam Antonacci CWS CWS @ LAA Total Bases 1.5 42.9 D 19.9 0 Pending
48 Will Benson CIN CHC @ CIN Runs 0.5 42.8 D 17.6 0 Pending
49 Chase DeLauter CLE CLE @ KC Total Bases 1.5 42.4 D 19.6 0 Pending
50 Will Benson CIN CHC @ CIN Hits 0.5 42.3 D 17.6 0 Pending
51 Jarren Duran BOS DET @ BOS Total Bases 1.5 42.2 D 18.9 0 Pending
53 Jeff McNeil OAK OAK @ ATHLETICS@ Total Bases 1.5 41.8 D 20 0 Pending
Showing 1–25 of 1298 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.