📡 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 29 – Jul 12 →
Wins
32
Losses
20
Push
8
Win %
61.5%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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
Paige Bueckers
CHI @ DAL WNBA
Points 21.5 OVER
69.3 B
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
28.2
Fit
4
2
Paige Bueckers
CHI @ DAL WNBA
Rebounds 4.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
27.6
Fit
5
3
Flau'jae Johnson
SEA @ WSH WNBA
Assists 2.5 OVER
63.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.2
Fit
5
4
Paige Bueckers
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 13/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
301 Salvador Perez KC KC @ BAL Hits 0.5 33.3 D 17.6 0 Pending
302 Salvador Perez KC KC @ BAL Runs Batted In 0.5 33.3 D 17.6 0 Pending
303 Trent Grisham NYY NYY @ WSH Runs 0.5 33.3 D 17.6 0 Pending
304 Wyatt Langford TEX HOU @ TEX Runs 0.5 33.3 D 17.6 0 Pending
305 Breanna Stewart NY @ TORONTO Assists 3.5 33.2 D 8.5 5 Pending
306 A.J. Ewing NYM BOS @ NYM Runs 0.5 33.1 D 17.2 0 Pending
307 Andrew Benintendi CWS CWS @ ATHLETICS@ Runs Batted In 0.5 33.1 D 17.2 0 Pending
308 Drew Gilbert SF COL @ SF Hits 0.5 33.1 D 17.2 0 Pending
309 Michael Massey KC KC @ BAL Runs 0.5 33.1 D 17.2 0 Pending
310 Ryan O'Hearn PIT MIL @ PIT Hits 0.5 33.1 D 17.2 0 Pending
311 Shohei Ohtani LAD ARI @ LAD Runs Batted In 0.5 33.1 D 17.2 0 Pending
312 Maria Conde NY @ TORONTO 3-Pointers Made 1.5 32.8 D 13.3 0 Pending
313 Alex Freeland LAD ARI @ LAD Hits 0.5 32.8 D 17.2 0 Pending
314 Austin Hedges CLE CLE @ MIA Runs Batted In 0.5 32.8 D 17.2 0 Pending
315 Ben Rice NYY NYY @ WSH Runs 0.5 32.8 D 17.2 0 Pending
316 Hunter Feduccia TB SEA @ TB Hits 0.5 32.8 D 17.2 0 Pending
317 Jordan Walker STL ATL @ STL Runs Batted In 0.5 32.8 D 17.2 0 Pending
318 Juan Soto NYM BOS @ NYM Runs Batted In 0.5 32.8 D 17.2 0 Pending
319 Kyle Tucker LAD ARI @ LAD Hits 0.5 32.8 D 17.2 0 Pending
320 Lane Thomas KC KC @ BAL Hits 0.5 32.8 D 17.2 0 Pending
321 Matt Vierling DET PHI @ DET Hits 0.5 32.8 D 17.2 0 Pending
322 Michael Busch CHC CHC @ CIN Hits 0.5 32.8 D 17.2 0 Pending
323 Munetaka Murakami CWS CWS @ ATHLETICS@ Runs 0.5 32.8 D 17.2 0 Pending
324 Nolan Arenado AZ ARI @ LAD Hits 0.5 32.8 D 17.2 0 Pending
325 Wilyer Abreu BOS BOS @ NYM Hits 0.5 32.8 D 17.2 0 Pending
Showing 301–325 of 1494 picks
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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.