📡 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 |
← Sep 27 – Oct 26
Wins
58
Losses
100
Push
1
Win %
36.7%
Pending
6
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 Tue 10/13
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 18/22)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
426 Bobby Portis MIA DAL @ PHI Points 11.5 0 D -14.6 -5 Pending
427 Giannis Antetokounmpo MIA DAL @ PHI Points 31.5 0 D -14.6 -5 Pending
428 Jarrett Allen CLE MIN @ CLE Rebounds 8.5 0 D 0.7 -5 Pending
429 Tyrese Haliburton IND IND @ MIL 3-Pointers Made 2.5 0 D -20 -6 Pending
430 Keyonte George UTA UTA @ MEM Assists 7.5 0 D -14.6 -5 Pending
431 Evan Mobley CLE MIN @ CLE Rebounds 8.5 0 D 0.4 -5 Pending
432 Kasparas Jakucionis MIL IND @ MIL Assists 3.5 0 D -13.6 -5 Pending
433 Cedric Coward MEM UTA @ MEM Rebounds 4.5 0 D -13.7 -5 Pending
434 Trae Young WSH WSH @ CHA Rebounds 2.5 0 D -14.6 -5 Pending
435 Kasparas Jakucionis MIL IND @ MIL Rebounds 3.5 0 D -13.8 -5 Pending
436 Myles Turner MIL IND @ MIL Points 11.5 0 D -13.1 -5 Pending
437 Peyton Watson CLE MIN @ CLE 3-Pointers Made 1.5 0 D -20 -6 Pending
438 Moussa Diabate CHA WSH @ CHA Points 9.5 0 D -0.6 -5 Pending
439 Kaila Charles ATL @ GSV Points 7.5 0 D -1.4 -5 Pending
440 Andrew Nembhard IND IND @ MIL Rebounds 2.5 0 D -14.6 -5 Pending
441 Keyonte George UTA UTA @ MEM Rebounds 3.5 0 D -14.6 -5 Pending
442 Dennis Schroder CHA WSH @ CHA 3-Pointers Made 1.5 0 D -20 -6 Pending
443 Lauri Markkanen UTA UTA @ MEM Rebounds 7.5 0 D -14.6 -5 Pending
444 Trae Young WSH WSH @ CHA Assists 10.5 0 D -14.3 -5 Pending
445 Jamal Murray DEN DEN @ GSW 3-Pointers Made 3.5 0 D -9.9 -6 Pending
446 Tyler Herro MIL IND @ MIL Points 23.5 0 D -0.4 -5 Pending
447 Grayson Allen CHA WSH @ CHA Rebounds 2.5 0 D -14.6 -5 Pending
448 Norman Powell CHI CHI @ BOS Points 19.5 0 D -13 -5 Pending
449 Jalen Smith CHI CHI @ BOS Points 10.5 0 D -14.6 -5 Pending
450 Kyshawn George WSH WSH @ CHA Rebounds 4.5 0 D -14.6 -5 Pending
Showing 426–450 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.