📡 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 4 →
Wins
1
Losses
5
Win %
16.7%
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
1
Rebounds 6.5 OVER
71.9 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
30
Fit
5
2
Rebounds 7.5 OVER
71.2 B
  • Stable player role
Raw
59
Clean
26.3
Fit
5
3
Points 26.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
30
Fit
4
4
Points 18.5 OVER
68.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
27
Fit
4

📋 Full Board (1215 picks · Page 12/49)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Nathaniel Lowe CIN CHC @ CIN Home Runs 0.5 17.5 D 9.2 -5 Pending
277 TJ Friedl CIN CHC @ CIN Home Runs 0.5 17.5 D 9.2 -5 Pending
278 Matt Olson ATL ATL @ LAD@HOU Home Runs 0.5 17.4 D 10.3 -5 Pending
279 Owen Caissie MIA PHI @ MIA Hits 1.5 17.4 D 9.2 -5 Pending
280 Otto Lopez MIA PHI @ MIA Runs 1.5 17.3 D 9.2 -5 Pending
281 Will Smith LAD LAD @ HOU Total Bases 1.5 17.2 D 9.2 -5 Pending
282 Pete Crow-Armstrong CHC CHC @ CIN Hits 1.5 17.2 D 12.2 -5 Pending
283 Dillon Dingler DET BOS @ DET Home Runs 0.5 17.2 D 9.2 -5 Pending
284 Riley Greene DET BOS @ DET Home Runs 0.5 17.2 D 9.2 -5 Pending
285 Spencer Torkelson DET BOS @ DET Home Runs 0.5 17.2 D 9.2 -5 Pending
286 Tyler Stephenson CIN CHC @ CIN Hits 1.5 17.2 D 11.4 -5 Pending
287 Alex Freeland LAD LAD @ HOU Total Bases 1.5 17.2 D 10.3 -5 Pending
288 Matt Olson ATL ATL @ LAD@HOU Runs Batted In 1.5 17.1 D 11.4 -5 Pending
289 Alex Freeland LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
290 Andy Pages LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
291 Freddie Freeman LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
292 Hyeseong Kim LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
293 Jazz Chisholm Jr. NYY NYY @ BAL Home Runs 0.5 17.1 D 9.2 -5 Pending
294 Kyle Tucker LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
295 Max Muncy LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
296 Paul Goldschmidt NYY NYY @ BAL Home Runs 0.5 17.1 D 9.2 -5 Pending
297 Ryan McMahon NYY NYY @ BAL Home Runs 0.5 17.1 D 9.2 -5 Pending
298 Shohei Ohtani LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
299 Teoscar Hernandez LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
300 Will Smith LAD LAD @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
Showing 276–300 of 1215 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.