📡 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 13 – Jul 19 →
Wins
19
Losses
17
Push
6
Win %
52.8%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ DAL WNBA
Rebounds 4.5 OVER
71.8 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.2
Fit
5
2
LA @ DAL WNBA
Points 17.5 OVER
69.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4
3
CHI @ ATL WNBA
Assists 8.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.3
Fit
5
4
LA @ DAL WNBA
Assists 3.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
23.5
Fit
5

📋 Full Board (1496 picks · Page 59/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1451 Ryan Kreidler MIN MIN @ CHC Total Bases 1.5 2.2 D 9.2 -5 Pending
1452 Tristan Peters CWS CWS @ TOR Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1453 Tristan Peters CWS CWS @ TOR Total Bases 1.5 2.2 D 9.2 -5 Pending
1454 Austin Martin MIN MIN @ CHC Total Bases 1.5 1.9 D 9.2 -5 Pending
1455 Colton Cowser BAL BAL @ HOU Total Bases 1.5 1.9 D 9.2 -5 Pending
1456 Daniel Susac SF SF @ SEA Total Bases 1.5 1.9 D 9.2 -5 Pending
1457 Dylan Crews WSH WSH @ OAK Hits 1.5 1.9 D 9.2 -5 Pending
1458 Freddie Freeman LAD LAD @ NYY Total Bases 1.5 1.9 D 9.2 -5 Pending
1459 Geraldo Perdomo AZ STL @ ARI Total Bases 1.5 1.9 D 9.2 -5 Pending
1460 Ivan Herrera STL STL @ ARI Hits 1.5 1.9 D 9.2 -5 Pending
1461 Ivan Herrera STL STL @ ARI Total Bases 1.5 1.9 D 9.2 -5 Pending
1462 Ke'Bryan Hayes CIN CIN @ COL Total Bases 1.5 1.9 D 9.2 -5 Pending
1463 Kyle Stowers MIA MIA @ MIL Total Bases 1.5 1.9 D 9.2 -5 Pending
1464 Marcus Semien NYM NYM @ PHI Total Bases 1.5 1.9 D 9.2 -5 Pending
1465 Miguel Vargas CWS CWS @ TOR Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1466 Nathan Lukes TOR CWS @ TOR Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1467 Taylor Walls TB TB @ BOS Total Bases 1.5 1.9 D 9.2 -5 Pending
1468 Teoscar Hernandez LAD LAD @ NYY Total Bases 1.5 1.9 D 9.2 -5 Pending
1469 Cameron Brink LA @ DAL Rebounds 3.5 1.9 D -0.8 -5 Pending
1470 Courtney Vandersloot CHI @ ATL Assists 4.5 1.9 D 9.2 -5 Pending
1471 Alika Williams OAK WSH @ OAK Total Bases 1.5 1.6 D 9.2 -5 Pending
1472 Bo Bichette NYM NYM @ PHI Hits 1.5 1.6 D 9.2 -5 Pending
1473 Bo Bichette NYM NYM @ PHI Total Bases 1.5 1.6 D 9.2 -5 Pending
1474 Brandon Marsh PHI NYM @ PHI Total Bases 1.5 1.6 D 9.2 -5 Pending
1475 Colby Thomas OAK WSH @ OAK Total Bases 1.5 1.6 D 9.2 -5 Pending
Showing 1451–1475 of 1496 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.