📡 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 |
← Jun 12 – Jul 11 →
Wins
55
Losses
46
Push
24
Win %
54.5%
Pending
0
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 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ MIN WNBA
Points 15.5 OVER
78.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
29
Fit
4
2
PHX @ LV WNBA
Points 20.5 OVER
73.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
23.7
Fit
4
3
PHX @ LV WNBA
Points 17.5 OVER
69.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
PHX @ LV WNBA
Rebounds 6.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.7
Fit
5

📋 Full Board (1465 picks · Page 41/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1001 Connor Wong BOS BOS @ NYM Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1002 Curtis Mead WSH NYY @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
1003 Dalton Rushing LAD ARI @ LAD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1004 Daniel Schneemann CLE CLE @ MIA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1005 Dansby Swanson CHC CHC @ CIN Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1006 Daulton Varsho TOR TOR @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1007 Daylen Lile WSH NYY @ WSH Runs 0.5 5.8 D 9.2 -5 Pending
1008 Daylen Lile WSH NYY @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1009 Derek Hill PHI PHI @ DET Home Runs 0.5 5.8 D 9.2 -5 Pending
1010 Dillon Dingler DET PHI @ DET Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1011 Drake Baldwin ATL ATL @ STL Runs 0.5 5.8 D 9.2 -5 Pending
1012 Drew Cavanaugh SF COL @ SF Runs 0.5 5.8 D 9.2 -5 Pending
1013 Drew Gilbert SF COL @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
1014 Dylan Crews WSH NYY @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
1015 Dylan Crews WSH NYY @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1016 Edouard Julien COL COL @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
1017 Edouard Julien COL COL @ SF Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1018 Eli White ATL ATL @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
1019 Enmanuel Valdez PIT MIL @ PIT Hits 0.5 5.8 D 9.2 -5 Pending
1020 Enmanuel Valdez PIT MIL @ PIT Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1021 Eric Wagaman NYM BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
1022 Eric Wagaman NYM BOS @ NYM Total Bases 1.5 5.8 D 9.2 -5 Pending
1023 Ernie Clement TOR TOR @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1024 Esmerlyn Valdez PIT MIL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
1025 Esmerlyn Valdez PIT MIL @ PIT Total Bases 1.5 5.8 D 9.2 -5 Pending
Showing 1001–1025 of 1465 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.