📡 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 23 →
Wins
3
Losses
3
Win %
50%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Rebounds 3.5 OVER
72.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.6
Fit
5
2
Points 7.5 OVER
69.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
21.8
Fit
4
3
Assists 7.5 OVER
64.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
5
4
Hits 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.3
Fit
0

📋 Full Board (1457 picks · Page 17/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
401 Michael Harris II ATL ATL @ CIN Total Bases 1.5 22.9 D 9.2 -5 Pending
402 Arike Ogunbowale SEA SEA @ DAL 3-Pointers Made 1.5 22.6 D 2.8 0 Pending
403 Carson Kelly CHC CHC @ MIA Runs 0.5 22.6 D 9.2 -5 Pending
404 Elly De La Cruz ATL ATL @ CIN Runs 0.5 22.6 D 9.2 -5 Pending
405 Elly De La Cruz ATL ATL @ CIN Total Bases 1.5 22.6 D 9.2 -5 Pending
406 Jose Trevino ATL ATL @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
407 Matt Olson ATL ATL @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
408 Oneil Cruz PIT PIT @ STL Runs Batted In 0.5 22.6 D 9.2 -5 Pending
409 Ozzie Albies ATL ATL @ CIN Hits 0.5 22.6 D 9.2 -5 Pending
410 Ozzie Albies ATL ATL @ CIN Runs 0.5 22.6 D 9.2 -5 Pending
411 Ozzie Albies ATL ATL @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
412 Pedro Ramirez CHC CHC @ MIA Runs 0.5 22.6 D 9.2 -5 Pending
413 Bo Bichette TEX TEX @ NYM Runs Batted In 0.5 22.5 D 9.2 -5 Pending
414 Danny Jansen TEX TEX @ NYM Runs Batted In 0.5 22.5 D 9.2 -5 Pending
415 Jordin Canada NYK NYK @ ATL 3-Pointers Made 0.5 22.5 D 10.1 0 Pending
416 Ian Happ CHC CHC @ MIA Total Bases 1.5 22.4 D 9.2 -5 Pending
417 Otto Lopez CHC CHC @ MIA Total Bases 1.5 22.4 D 9.2 -5 Pending
418 Flau'jae Johnson SEA SEA @ DAL 3-Pointers Made 1.5 22.2 D 9.2 0 Pending
419 Agustín Ramírez CHC CHC @ MIA Runs 0.5 22.2 D 9.2 -5 Pending
420 Austin Riley ATL ATL @ CIN Runs 0.5 22.2 D 9.2 -5 Pending
421 Carson Kelly CHC CHC @ MIA Runs Batted In 0.5 22.2 D 9.2 -5 Pending
422 Dane Myers ATL ATL @ CIN Hits 0.5 22.2 D 9.2 -5 Pending
423 Eugenio Suarez ATL ATL @ CIN Runs Batted In 0.5 22.2 D 9.2 -5 Pending
424 Graham Pauley CHC CHC @ MIA Runs 0.5 22.2 D 9.2 -5 Pending
425 Ha-Seong Kim ATL ATL @ CIN Runs 0.5 22.2 D 9.2 -5 Pending
Showing 401–425 of 1457 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.