📡 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 5 →
Wins
5
Losses
1
Win %
83.3%
Pending
0
Mon 11/2 Sun 11/1 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
11
Total Bases 1.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
81
Clean
21.6
Fit
0
15
Total Bases 1.5 OVER
57 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
18
Total Bases 1.5 OVER
54.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.9
Fit
0
19
Hits 0.5 OVER
53.9 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.4
Fit
0

📋 Full Board (1298 picks · Page 8/52)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
214 Kyle Stowers MIA MIA @ BAL Home Runs 0.5 18.8 D 9.2 -5 Pending
215 Otto Lopez MIA MIA @ BAL Home Runs 0.5 18.8 D 9.2 -5 Pending
216 Owen Caissie MIA MIA @ BAL Home Runs 0.5 18.8 D 9.2 -5 Pending
217 Freddie Freeman LAD LAD @ HOU Runs Batted In 1.5 18.7 D 9.2 -5 Pending
218 Kyle Tucker LAD LAD @ HOU Runs Batted In 1.5 18.7 D 9.2 -5 Pending
219 Mauricio Dubon ATL ATL @ LAD@HOU Hits 1.5 18.7 D 9.2 -5 Pending
220 Pete Alonso BAL MIA @ BAL Hits 1.5 18.7 D 13.2 -5 Pending
221 Mauricio Dubon ATL ATL @ LAD@HOU Total Bases 1.5 18.6 D 9.2 -5 Pending
222 Jose Altuve HOU LAD @ HOU Hits 1.5 18.6 D 15.2 -5 Pending
223 Cade Cavalli WSH MIN @ WSH Strikeouts 5.5 18.6 D 11.8 -5 Pending
224 Ben Rice NYY NYY @ TEX Hits 1.5 18.5 D 11.4 -5 Pending
225 Nathaniel Lowe CIN CHC @ CIN Total Bases 1.5 18.5 D 9.2 -5 Pending
226 Alex Freeland LAD LAD @ HOU Runs 1.5 18.3 D 9.2 -5 Pending
228 Jackson Chourio MIL STL @ MIL Hits 1.5 18.3 D 9.6 -5 Pending
229 Mike Yastrzemski ATL ATL @ LAD@HOU Total Bases 1.5 18.3 D 10.3 -5 Pending
230 Brandon Sproat MIL STL @ MIL Strikeouts 5.5 18.2 D 13.8 -5 Pending
231 Sam Antonacci CWS CWS @ LAA Hits 1.5 18.1 D 11.8 -5 Pending
232 Aaron Judge NYY NYY @ TEX Home Runs 0.5 18.1 D 9.2 -5 Pending
233 Ben Rice NYY NYY @ TEX Home Runs 0.5 18.1 D 9.2 -5 Pending
234 Austin Riley ATL ATL @ LAD@HOU Runs Batted In 1.5 17.9 D 11.4 -5 Pending
235 Riley Greene DET DET @ BOS Total Bases 1.5 17.9 D 10.3 -5 Pending
236 Elly De La Cruz CIN CHC @ CIN Total Bases 1.5 17.9 D 9.4 -5 Pending
237 Elly De La Cruz CIN CHC @ CIN Home Runs 0.5 17.8 D 9.2 -5 Pending
238 Matt McLain CIN CHC @ CIN Home Runs 0.5 17.8 D 9.2 -5 Pending
239 Sal Stewart CIN CHC @ CIN Home Runs 0.5 17.8 D 9.2 -5 Pending
Showing 176–200 of 1298 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.