📡 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 10 →
Wins
4
Losses
2
Win %
66.7%
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
DAL @ TORONT WNBA
Points 21.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.6
Fit
4
2
DAL @ TORONT WNBA
Points 21.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
21
Fit
4
3
DAL @ TORONT WNBA
Assists 6.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5
4
DAL @ TORONT WNBA
Rebounds 4.5 OVER
62.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
23
Fit
5

📋 Full Board (1471 picks · Page 22/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
526 Ketel Marte AZ ARI @ LAD Total Bases 1.5 12.1 D 10.8 -5 Pending
527 Taylor Ward BAL KC @ BAL Total Bases 1.5 12.1 D 10.8 -5 Pending
528 Tyler Stephenson CIN CHC @ CIN Total Bases 1.5 12.1 D 10.8 -5 Pending
529 Bryson Stott PHI PHI @ DET Total Bases 1.5 11.8 D 9.6 -5 Pending
530 Nick Gonzales PIT MIL @ PIT Total Bases 1.5 11.8 D 9.6 -5 Pending
531 Brandon Lowe PIT MIL @ PIT Total Bases 1.5 11.5 D 10.3 -5 Pending
532 Spencer Steer CIN CHC @ CIN Total Bases 1.5 11.5 D 10.3 -5 Pending
533 Adley Rutschman BAL KC @ BAL Total Bases 1.5 10.8 D 10.1 -5 Pending
534 Carson Kelly CHC CHC @ CIN Total Bases 1.5 10.8 D 10.1 -5 Pending
535 Justin Crawford PHI PHI @ DET Total Bases 1.5 10.8 D 10.1 -5 Pending
536 Mike Yastrzemski ATL ATL @ STL Total Bases 1.5 10.8 D 10.1 -5 Pending
537 Chandler Simpson TB SEA @ TB Hits 1.5 10.5 D 11.4 -5 Pending
538 Dansby Swanson CHC CHC @ CIN Total Bases 1.5 10.5 D 11.4 -5 Pending
539 Nico Hoerner CHC CHC @ CIN Total Bases 1.5 10.5 D 11.4 -5 Pending
540 Brett Baty NYM BOS @ NYM Runs Batted In 0.5 10.3 D 9.2 -5 Pending
541 Luis Campusano SD TOR @ SD Runs 0.5 10.3 D 9.2 -5 Pending
542 Luis Campusano SD TOR @ SD Total Bases 1.5 10.3 D 9.2 -5 Pending
543 Manny Machado SD TOR @ SD Runs 0.5 10.3 D 9.2 -5 Pending
544 Sung-Mun Song SD TOR @ SD Runs 0.5 10.3 D 9.2 -5 Pending
545 Fernando Tatis Jr. SD TOR @ SD Runs Batted In 0.5 10 D 9.2 -5 Pending
546 Gavin Sheets SD TOR @ SD Hits 0.5 10 D 9.2 -5 Pending
547 Jackson Merrill SD TOR @ SD Runs 0.5 10 D 9.2 -5 Pending
548 Jake Cronenworth SD TOR @ SD Runs 0.5 10 D 9.2 -5 Pending
549 Jared Young NYM BOS @ NYM Runs 0.5 10 D 9.2 -5 Pending
550 Manny Machado SD TOR @ SD Home Runs 0.5 10 D 9.2 -5 Pending
Showing 526–550 of 1471 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.