📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Sep 27 – Oct 26 →
Wins
61
Losses
103
Push
1
Win %
37.2%
Pending
0
Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ GSV WNBA
Points 15.5 OVER
79.5 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
81
Clean
28.7
Fit
4
2
ATL @ GSV WNBA
Points 11.5 OVER
75.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
27.9
Fit
4
3
ATL @ GSV WNBA
Assists 6.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.1
Fit
5
4
ATL @ GSV WNBA
Assists 2.5 OVER
66.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
50
Clean
28.7
Fit
5

📋 Full Board (528 picks · Page 17/22)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
401 Kyle Kuzma MIL MIL @ IND 3-Pointers Made 1.5 0 D -20 -6 Pending
402 Mitchell Robinson BOS CHI @ BOS Rebounds 7.5 0 D -11.3 -5 Pending
403 Nikola Jokic DEN DEN @ GSW 3-Pointers Made 1.5 0 D -9 -6 Pending
404 Lauri Markkanen UTA UTA @ MEM Assists 2.5 0 D -14.6 -5 Pending
405 Peyton Watson CLE MIN @ CLE Assists 2.5 0 D -14.6 -5 Pending
406 Aaron Nesmith IND MIL @ IND 3-Pointers Made 1.5 0 D -20 -6 Pending
407 Anthony Davis WSH WSH @ CHA Assists 2.5 0 D -14.6 -5 Pending
408 Shai Gilgeous-Alexander OKC OKC @ PHX Rebounds 4.5 0 D -0.9 -5 Pending
409 Kyrie Irving DAL MIA @ DAL Rebounds 3.5 0 D -14.6 -5 Pending
410 Jaylon Tyson CLE MIN @ CLE Rebounds 4.5 0 D -9.5 -5 Pending
411 Tiffany Hayes ATL @ GSV Rebounds 3.5 0 D 0.2 -5 Pending
412 Jayson Tatum BOS CHI @ BOS Assists 6.5 0 D -2.2 -5 Pending
413 Daniel Gafford DAL MIA @ DAL Rebounds 7.5 0 D -14.6 -5 Pending
414 P.J. Washington DAL MIA @ DAL Rebounds 7.5 0 D -14.6 -5 Pending
415 Kevin Durant HOU ATL @ GSV 3-Pointers Made 1.5 0 D -20 -6 Pending
416 Donovan Mitchell CLE MIN @ CLE Rebounds 4.5 0 D -1.8 -5 Pending
417 Josh Giddey CHI CHI @ BOS Assists 8.5 0 D -14.6 -5 Pending
418 Andrew Nembhard IND MIL @ IND 3-Pointers Made 1.5 0 D -20 -6 Pending
419 Cedric Coward MEM UTA @ MEM Assists 2.5 0 D -13.9 -5 Pending
420 Aaron Gordon DEN DEN @ GSW 3-Pointers Made 1.5 0 D -20 -6 Pending
421 Cedric Coward MEM UTA @ MEM 3-Pointers Made 1.5 0 D -20 -6 Pending
422 Dyson Daniels ATL ATL @ HOU Rebounds 6.5 0 D -13.8 -5 Pending
423 Grayson Allen CHA WSH @ CHA 3-Pointers Made 2.5 0 D -20 -6 Pending
424 Isaiah Hartenstein OKC OKC @ PHX Rebounds 8.5 0 D -12.8 -5 Pending
425 Isaiah Collier UTA UTA @ MEM Points 6.5 0 D -14.6 -5 Pending
Showing 401–425 of 528 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.