📡 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 |
← Jul 18 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 26/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
626 Nico Hoerner CHC MIN @ CHC Total Bases 1.5 7.3 D 9.2 -5 Pending
627 Ozzie Albies ATL TEX @ ATL Total Bases 1.5 7.3 D 9.2 -5 Pending
628 Ryan Waldschmidt AZ STL @ ARI Total Bases 1.5 7.3 D 9.2 -5 Pending
629 Shea Langeliers OAK WSH @ OAK Total Bases 2.5 7.3 D 9.2 -5 Pending
630 Yainer Diaz HOU BAL @ HOU Runs Batted In 1.5 7.3 D 9.2 -5 Pending
631 Yandy Diaz TB TB @ BOS Total Bases 1.5 7.3 D 9.2 -5 Pending
632 Fernando Tatis Jr. SD SD @ KC Hits 1.5 7.1 D 9.2 -5 Pending
633 Fernando Tatis Jr. SD SD @ KC Total Bases 1.5 7.1 D 9.2 -5 Pending
634 Xander Bogaerts SD SD @ KC Hits 1.5 6.7 D 10.3 -5 Pending
635 Sarah Ashlee Barker POR @ MIN 3-Pointers Made 1.5 6.7 D -0.9 0 Pending
636 Davis Martin CWS CWS @ TOR Strikeouts 4.5 6.7 D 11.8 -5 Pending
637 Jake Mangum PIT PIT @ CLE Hits 1.5 6.5 D 9.4 -5 Pending
638 Randy Arozarena SEA SF @ SEA Total Bases 1.5 6.5 D 9.4 -5 Pending
639 Wyatt Langford TEX TEX @ ATL Total Bases 1.5 6.5 D 9.4 -5 Pending
640 Carter Jensen KC SD @ KC Hits 0.5 6.5 D 9.2 -5 Pending
641 Drake Baldwin ATL TEX @ ATL Total Bases 1.5 6.5 D 9.2 -5 Pending
642 Francisco Lindor NYM NYM @ PHI Total Bases 1.5 6.5 D 9.2 -5 Pending
643 Jackson Merrill SD SD @ KC Hits 1.5 6.5 D 9.2 -5 Pending
644 Jackson Merrill SD SD @ KC Total Bases 1.5 6.5 D 9.2 -5 Pending
645 Jake Bauers MIL MIA @ MIL Hits 1.5 6.5 D 9.2 -5 Pending
646 Jake Bauers MIL MIA @ MIL Runs 1.5 6.5 D 9.2 -5 Pending
647 Jake Bauers MIL MIA @ MIL Runs Batted In 1.5 6.5 D 9.2 -5 Pending
648 Michael Harris II ATL TEX @ ATL Runs Batted In 0.5 6.5 D 9.2 -5 Pending
649 Pete Alonso BAL BAL @ HOU Total Bases 1.5 6.5 D 9.2 -5 Pending
650 Ryan O'Hearn PIT PIT @ CLE Home Runs 0.5 6.5 D 9.2 -5 Pending
Showing 626–650 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.