📡 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 13 – Jul 12 →
Wins
61
Losses
46
Push
24
Win %
57%
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
CHI @ DAL WNBA
Points 21.5 OVER
69.3 B
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
28.2
Fit
4
2
CHI @ DAL WNBA
Rebounds 4.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
27.6
Fit
5
3
SEA @ WSH WNBA
Assists 2.5 OVER
63.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.2
Fit
5
4
CHI @ DAL WNBA
Assists 6.5 OVER
63.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5

📋 Full Board (1494 picks · Page 18/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
426 Jorge Soler LAA LAA @ MIN Total Bases 1.5 16.4 D 11.8 -5 Pending
427 Michael Lorenzen COL COL @ SF Strikeouts 3.5 16.4 D 11.7 -5 Pending
428 Christian Walker HOU HOU @ TEX Total Bases 1.5 15.9 D 11.4 -5 Pending
429 Josh Jung TEX HOU @ TEX Total Bases 1.5 15.9 D 11.4 -5 Pending
430 Ernie Clement TOR TOR @ SD Hits 1.5 15.5 D 12.2 -5 Pending
431 Michael Massey KC KC @ BAL Total Bases 1.5 15.5 D 12.2 -5 Pending
432 German Marquez SD TOR @ SD Strikeouts 3.5 15.5 D 12.1 -5 Pending
433 Caitlin Clark IND @ LV Points 15.5 15.5 D 2 -5 Pending
434 Kamilla Cardoso CHI @ DAL Assists 2.5 15.4 D 12.2 -5 Pending
435 A'ja Wilson IND @ LV 3-Pointers Made 0.5 15.4 D 0.2 0 Pending
436 Tyler Phillips MIA CLE @ MIA Strikeouts 3.5 15.4 D 12.7 -5 Pending
437 Jake Cronenworth SD TOR @ SD Runs 0.5 15.1 D 10.3 -5 Pending
438 Josh Naylor SEA SEA @ TB Total Bases 1.5 14.9 D 13.2 -5 Pending
439 Fernando Tatis Jr. SD TOR @ SD Total Bases 1.5 14.8 D 11.5 -5 Pending
440 Jackson Merrill SD TOR @ SD Total Bases 1.5 14.8 D 11.5 -5 Pending
441 Brayan Rocchio CLE CLE @ MIA Total Bases 1.5 14.8 D 10.8 -5 Pending
442 Josh Bell MIN LAA @ MIN Total Bases 1.5 14.8 D 10.8 -5 Pending
443 Kamilla Cardoso CHI @ DAL Rebounds 8.5 14.3 D 13.4 -5 Pending
444 Natisha Hiedeman SEA @ WSH 3-Pointers Made 2.5 14.3 D 2.3 0 Pending
445 Noah Schultz CWS CWS @ ATHLETICS@ Strikeouts 4.5 13.9 D 11.9 -5 Pending
446 Ernie Clement TOR TOR @ SD Total Bases 1.5 13.8 D 11.3 -5 Pending
447 Kevin McGonigle DET PHI @ DET Total Bases 1.5 13.8 D 11.3 -5 Pending
448 Chelsea Gray IND @ LV 3-Pointers Made 1.5 13.8 D 4.7 0 Pending
449 Jake Cronenworth SD TOR @ SD Total Bases 1.5 13.5 D 9.6 -5 Pending
450 Andres Gimenez TOR TOR @ SD Runs Batted In 0.5 13.4 D 10.3 -5 Pending
Showing 426–450 of 1494 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.