📡 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 |
← Aug 6 – Aug 12 →
Wins
0
Losses
0
Push
42
Win %
0%
Pending
0
Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ POR WNBA
Points 15.5 OVER
66.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
22.4
Fit
4
2
TORONTO TEMPO @ DAL WNBA
Points 7.5 OVER
65.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
21.5
Fit
4
3
CHI @ GSV WNBA
Rebounds 6.5 OVER
65.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
22
Fit
5
4
CHI @ GSV WNBA
Points 11.5 OVER
63.3 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
21.9
Fit
4

📋 Full Board (1508 picks · Page 41/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1001 Heriberto Hernandez MIA PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1002 Hunter Feduccia LAD KC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1003 Isaac Paredes HOU HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1004 J.T. Realmuto PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1005 Jacob Gonzalez PIT PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1006 Jacob Wilson OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1007 Jake Burger TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1008 Jake Cronenworth SD MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1009 Jakob Marsee MIA PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1010 Jared Young NYM NYM @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1011 Javier Baez DET CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1012 Javier Sanoja MIA PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1013 Jeff McNeil OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1014 Jeremy Pena HOU HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1015 JJ Wetherholt STL PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1016 Joe Mack MIA PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1017 Joey Ortiz MIL MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1018 Jonah Heim OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1019 Jordan Beck COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1020 Jose Fermin LAA PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1021 Jose Ramirez CLE CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1022 Josh Lowe LAA TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1023 Justin Crawford PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1024 Kazuma Okamoto TOR BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1025 Ke'Bryan Hayes CIN CIN @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1001–1025 of 1508 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.