📡 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 11 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Mon 10/12 Sun 10/11
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
39
Walker Buehler
SD TOR @ SD MLB
Strikeouts 3.5 OVER
52.3 C
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
22.1
Fit
0
42
Josh Naylor
SEA SEA @ TB MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
43
Vinnie Pasquantino
KC KC @ BAL MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
45
Chase DeLauter
CLE CLE @ MIA MLB
Total Bases 1.5 OVER
49.7 D
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
21.4
Fit
0

📋 Full Board (1374 picks · Page 10/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
290 Juan Soto NYM BOS @ NYM Runs 0.5 33.3 D 17.6 0 Pending
291 Keibert Ruiz WSH NYY @ WSH Hits 0.5 33.3 D 17.6 0 Pending
292 Kyle Karros COL COL @ SF Runs Batted In 0.5 33.3 D 17.6 0 Pending
293 Kyle Schwarber PHI PHI @ DET Hits 0.5 33.3 D 17.6 0 Pending
294 Kyle Stowers MIA CLE @ MIA Hits 0.5 33.3 D 17.6 0 Pending
295 Luis Garcia Jr. WSH NYY @ WSH Runs 0.5 33.3 D 17.6 0 Pending
296 Luke Keaschall MIN LAA @ MIN Hits 0.5 33.3 D 17.6 0 Pending
297 Marcell Ozuna PIT MIL @ PIT Hits 0.5 33.3 D 17.6 0 Pending
298 Matt Olson ATL ATL @ STL Hits 0.5 33.3 D 17.6 0 Pending
299 Max Kepler AZ ARI @ LAD Hits 0.5 33.3 D 17.6 0 Pending
300 Michael Massey KC KC @ BAL Runs Batted In 0.5 33.3 D 17.6 0 Pending
301 Otto Lopez MIA CLE @ MIA Runs 0.5 33.3 D 17.6 0 Pending
302 Patrick Bailey CLE CLE @ MIA Hits 0.5 33.3 D 17.6 0 Pending
303 Randy Arozarena SEA SEA @ TB Runs 0.5 33.3 D 17.6 0 Pending
304 Royce Lewis MIN LAA @ MIN Runs Batted In 0.5 33.3 D 17.6 0 Pending
305 Salvador Perez KC KC @ BAL Runs Batted In 0.5 33.3 D 17.6 0 Pending
306 Tommy Edman LAD ARI @ LAD Hits 0.5 33.3 D 17.6 0 Pending
307 Tyrone Taylor NYM BOS @ NYM Hits 0.5 33.3 D 17.6 0 Pending
308 Vladimir Guerrero Jr. TOR TOR @ SD Runs 0.5 33.3 D 17.6 0 Pending
309 Wilyer Abreu BOS BOS @ NYM Runs 0.5 33.3 D 17.6 0 Pending
310 Andrew Benintendi CWS CWS @ ATHLETICS@ Runs Batted In 0.5 33.1 D 17.2 0 Pending
311 Jake Burger TEX HOU @ TEX Runs Batted In 0.5 33.1 D 17.2 0 Pending
312 Jake Mangum PIT MIL @ PIT Hits 0.5 33.1 D 17.2 0 Pending
313 James Wood WSH NYY @ WSH Runs Batted In 0.5 33.1 D 17.2 0 Pending
314 Kyle Karros COL COL @ SF Total Bases 1.5 33.1 D 17.2 0 Pending
Showing 226–250 of 1374 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.