📡 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 22 – Jun 20 →
Wins
57
Losses
69
Push
11
Win %
45.2%
Pending
0
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 Thu 10/15
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
47.6 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
56
Clean
19.6
Fit
0
2
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.2
Fit
0
3
Total Bases 1.5 OVER
46.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.3
Fit
0
4
Total Bases 1.5 OVER
45.8 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
53
Clean
19.3
Fit
0

📋 Full Board (1265 picks · Page 41/51)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1001 Daylen Lile WSH WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1002 Dillon Dingler DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1003 Drew Gilbert SF SF @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1004 Drew Romo CWS CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1005 Edouard Julien COL PIT @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1006 Ernie Clement TOR TOR @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1007 Esmerlyn Valdez PIT PIT @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1008 Gabriel Arias CLE CLE @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1009 Gabriel Moreno AZ MIN @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1010 Geraldo Perdomo AZ MIN @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1011 Hunter Feduccia TB WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1012 Hunter Goodman COL PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1013 Jackson Holliday BAL BAL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1014 Jacob Gonzalez CWS CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1015 Jacob Young WSH WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1016 Jahmai Jones DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1017 Jake Mangum PIT PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1018 Jake McCarthy COL PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1019 Jared Triolo PIT PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1020 Javier Sanoja MIA SF @ MIA Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1021 Jo Adell LAA LAA @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1022 Joe Mack MIA SF @ MIA Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1023 Joey Ortiz MIL MIL @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1024 Jorge Barrosa AZ MIN @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1025 Jorge Barrosa AZ MIN @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1001–1025 of 1265 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.