📡 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 7 – Jul 20 →
Wins
42
Losses
29
Push
7
Win %
59.2%
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
MIN @ SEA WNBA
Points 19.5 OVER
73.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
79
Clean
23.3
Fit
4
2
NY @ DAL WNBA
Points 21.5 OVER
72 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
28.1
Fit
4
3
NY @ DAL WNBA
Rebounds 12.5 OVER
71.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
28.9
Fit
5
4
NY @ DAL WNBA
Rebounds 7.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
29
Fit
5

📋 Full Board (1515 picks · Page 17/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
401 Jacob Wilson OAK OAK @ ATHLETICS@ Hits 1.5 19.2 D 12.7 -5 Pending
402 Andrew Alvarez WSH WSH @ COL Strikeouts 4.5 19.2 D 13 -5 Pending
403 Kyle Leahy STL STL @ LAA Strikeouts 4.5 19.1 D 12.8 -5 Pending
404 Erick Fedde CWS CWS @ TEX Strikeouts 3.5 18.5 D 13.8 -5 Pending
405 Jack Flaherty DET DET @ CHC Strikeouts 5.5 18.1 D 12.4 -5 Pending
406 Heliot Ramos SF SF @ KC Hits 1.5 17.3 D 13.1 -5 Pending
407 Heliot Ramos SF SF @ KC Total Bases 1.5 17.3 D 13.1 -5 Pending
408 Luke Keaschall MIN MIN @ CLE Total Bases 1.5 17.3 D 13.1 -5 Pending
409 Yordan Alvarez HOU MIA @ HOU Hits 1.5 17.3 D 13.1 -5 Pending
410 A.J. Ewing NYM NYM @ MIL Total Bases 1.5 16.4 D 11.8 -5 Pending
411 Ceddanne Rafaela BOS BAL @ BOS Total Bases 1.5 16.4 D 11.8 -5 Pending
412 Christian Yelich MIL NYM @ MIL Total Bases 1.5 16.4 D 11.8 -5 Pending
413 Gabriel Moreno AZ AZ @ ATHLETICS@ Hits 1.5 16.4 D 11.8 -5 Pending
414 Heriberto Hernandez MIA MIA @ HOU Total Bases 1.5 16.4 D 11.8 -5 Pending
415 Kahlil Watson CLE MIN @ CLE Total Bases 1.5 16.4 D 11.8 -5 Pending
416 Michael Harris II ATL SD @ ATL Hits 1.5 16.4 D 11.8 -5 Pending
417 Tsung-Che Cheng BOS BAL @ BOS Total Bases 1.5 16.4 D 11.8 -5 Pending
418 Kiki Iriafen WSH @ GSV Rebounds 8.5 16.4 D 11.7 -5 Pending
419 Freddy Peralta NYM NYM @ MIL Strikeouts 5.5 16.3 D 13.3 -5 Pending
420 Bryson Stott PHI LAD @ PHI Total Bases 1.5 16.1 D 11.3 -5 Pending
421 Chase Meidroth CWS CWS @ TEX Total Bases 1.5 16.1 D 11.3 -5 Pending
422 Nolan Schanuel LAA STL @ LAA Total Bases 1.5 16.1 D 11.3 -5 Pending
423 Joe Ryan AL MIN @ CLE Strikeouts 6.5 15.9 D 12.7 -5 Pending
424 Alec Burleson STL STL @ LAA Total Bases 1.5 15.9 D 11.4 -5 Pending
425 Gabriel Moreno AZ AZ @ ATHLETICS@ Total Bases 1.5 15.9 D 11.4 -5 Pending
Showing 401–425 of 1515 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.