📡 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 9 →
Wins
4
Losses
2
Win %
66.7%
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
27
Bryce Miller
SEA SEA @ MIA MLB
Strikeouts 5.5 OVER
52.5 C
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
22.1
Fit
0
32
Victor Caratini
MIN CLE @ MIN MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
42
Otto Lopez
MIA SEA @ MIA MLB
Hits 0.5 OVER
48.3 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
21.2
Fit
0
43
Pete Crow-Armstrong
CHC CHC @ BAL MLB
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0

📋 Full Board (1193 picks · Page 11/48)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
307 Trevor Larnach MIN CLE @ MIN Hits 0.5 30.5 D 17.2 0 Pending
308 Zach Neto LAA LAA @ TEX Runs 0.5 30.5 D 17.2 0 Pending
309 Adley Rutschman BAL CHC @ BAL Runs Batted In 0.5 30.2 D 17.2 0 Pending
310 Alec Burleson STL MIL @ STL Runs Batted In 0.5 30.2 D 17.2 0 Pending
311 Alejandro Osuna TEX LAA @ TEX Runs 0.5 30.2 D 17.2 0 Pending
312 Alejandro Osuna TEX LAA @ TEX Runs Batted In 0.5 30.2 D 17.2 0 Pending
313 Ben Rice NYY NYY @ TB Runs Batted In 0.5 30.2 D 17.2 0 Pending
314 Colson Montgomery CWS BOS @ CWS Hits 0.5 30.2 D 17.2 0 Pending
315 Colson Montgomery CWS BOS @ CWS Runs Batted In 0.5 30.2 D 17.2 0 Pending
316 Francisco Lindor NYM KC @ NYM Runs 0.5 30.2 D 17.2 0 Pending
317 Hunter Feduccia TB NYY @ TB Hits 0.5 30.2 D 17.2 0 Pending
318 Jake McCarthy COL COL @ SF Runs Batted In 0.5 30.2 D 17.2 0 Pending
319 Jarren Duran BOS BOS @ CWS Hits 0.5 30.2 D 17.2 0 Pending
320 Josh Bell MIN CLE @ MIN Runs Batted In 0.5 30.2 D 17.2 0 Pending
321 Justin Foscue TEX LAA @ TEX Runs Batted In 0.5 30.2 D 17.2 0 Pending
322 Miguel Vargas CWS BOS @ CWS Runs Batted In 0.5 30.2 D 17.2 0 Pending
323 Nick Loftin KC KC @ NYM Runs 0.5 30.2 D 17.2 0 Pending
324 Pete Crow-Armstrong CHC CHC @ BAL Runs 0.5 30.2 D 17.2 0 Pending
325 Sal Stewart CIN PHI @ CIN Runs 0.5 30.2 D 17.2 0 Pending
326 Sal Stewart CIN PHI @ CIN Runs Batted In 0.5 30.2 D 17.2 0 Pending
327 Sam Antonacci CWS BOS @ CWS Hits 0.5 30.2 D 17.2 0 Pending
328 Tyler Tolbert KC KC @ NYM Runs Batted In 0.5 30.2 D 17.2 0 Pending
332 Heliot Ramos SF COL @ SF Runs Batted In 0.5 28.3 D 17.2 0 Pending
333 Jose Caballero NYY NYY @ TB Total Bases 1.5 28.3 D 17.2 0 Pending
334 Rafael Devers SF COL @ SF Total Bases 1.5 28.3 D 17.2 0 Pending
Showing 251–275 of 1193 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.