📡 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 |
← May 21 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
12
Total Bases 1.5 OVER
47 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
55
Clean
19.2
Fit
0
13
Hits 0.5 OVER
46.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.5
Fit
0
15
Hits 0.5 OVER
46 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.2
Fit
0
17
Total Bases 1.5 OVER
45.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
53
Clean
18.5
Fit
0

📋 Full Board (644 picks · Page 12/26)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
304 Pedro Pages STL STL @ PIT Hits 1.5 9.1 D 10.3 -5 Pending
305 Jorge Soler LAA LAA @ OAK Total Bases 1.5 9 D 9.2 -5 Pending
306 Liam Hicks MIA MIA @ ATL Runs Batted In 1.5 9 D 9.2 -5 Pending
307 Luis Torrens NYM NYM @ WSH Total Bases 1.5 9 D 9.2 -5 Pending
308 Dillon Dingler DET DET @ CLE Hits 1.5 9 D 9.2 -5 Pending
309 Victor Scott II STL STL @ PIT Hits 1.5 8.8 D 9.2 -5 Pending
310 Jo Adell LAA LAA @ OAK Total Bases 1.5 8.7 D 9.2 -5 Pending
311 Ryan Waldschmidt AZ COL @ ARI Total Bases 1.5 8.7 D 9.2 -5 Pending
313 Jake Mangum PIT STL @ PIT Total Bases 1.5 8.6 D 9.2 -5 Pending
314 Spencer Torkelson DET DET @ CLE Total Bases 1.5 8.6 D 9.2 -5 Pending
315 Darell Hernaiz OAK OAK @ ATHLETICS@ Total Bases 1.5 8.4 D 9.4 -5 Pending
316 Ryan Waldschmidt AZ COL @ ARI Hits 1.5 8.4 D 9.4 -5 Pending
317 Troy Johnston COL COL @ ARI Total Bases 1.5 8.4 D 9.4 -5 Pending
318 Adam Frazier LAA LAA @ OAK Hits 0.5 8.3 D 9.2 -5 Pending
319 Austin Riley ATL MIA @ ATL Home Runs 0.5 8.3 D 9.2 -5 Pending
320 Ben Rice NYY NYY @ TOR Home Runs 0.5 8.3 D 9.2 -5 Pending
321 Brent Rooker OAK OAK @ ATHLETICS@ Home Runs 0.5 8.3 D 9.2 -5 Pending
322 Henry Bolte OAK OAK @ ATHLETICS@ Runs 0.5 8.3 D 9.2 -5 Pending
323 Jeff McNeil OAK OAK @ ATHLETICS@ Total Bases 1.5 8.3 D 9.2 -5 Pending
324 Ketel Marte AZ COL @ ARI Home Runs 0.5 8.3 D 9.2 -5 Pending
325 Nick Kurtz OAK OAK @ ATHLETICS@ Total Bases 1.5 8.3 D 9.2 -5 Pending
326 Trent Grisham NYY NYY @ TOR Runs 0.5 8.3 D 9.2 -5 Pending
327 Zach Neto LAA LAA @ OAK Total Bases 1.5 8.3 D 9.2 -5 Pending
328 Ha-Seong Kim ATL MIA @ ATL Hits 1.5 8.3 D 9.2 -5 Pending
329 Sandy León ATL MIA @ ATL Hits 1.5 8.3 D 9.2 -5 Pending
Showing 276–300 of 644 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.