📡 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 |
← Aug 9 – Sep 7 →
Wins
5
Losses
15
Push
45
Win %
25%
Pending
0
Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Strikeouts 4.5 OVER
60.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.2
Fit
0
3
Hits 0.5 OVER
59 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
20.2
Fit
0
4
Hits 0.5 OVER
57.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
21.4
Fit
0

📋 Full Board (976 picks · Page 12/40)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Turner Hill SF SF @ STL Total Bases 1.5 25.2 D 10.8 -5 Pending
277 Emmet Sheehan LAD LAD @ CIN Strikeouts 6.5 24.9 D 14.1 -5 Pending
278 Trevor Rogers BAL BAL @ CLE Strikeouts 5.5 24.2 D 13.2 -5 Pending
279 Eury Perez MIA MIA @ NYM Strikeouts 5.5 23.7 D 13.5 -5 Pending
280 Bryce Eldridge SF SF @ STL Total Bases 1.5 23.5 D 11.5 -5 Pending
281 Brice Turang MIL MIL @ CHC Total Bases 1.5 23.4 D 9.9 -5 Pending
282 Dylan Cease OAK OAK @ TOR Strikeouts 7.5 23.4 D 13.6 -5 Pending
283 Eugenio Suarez LAD LAD @ CIN Total Bases 1.5 22.9 D 9.2 -5 Pending
284 Freddie Freeman LAD LAD @ CIN Total Bases 1.5 22.9 D 9.2 -5 Pending
285 Tyler Stephenson LAD LAD @ CIN Total Bases 1.5 22.9 D 9.2 -5 Pending
286 Jake Irvin SD SD @ WSH Strikeouts 4.5 22.8 D 14.1 -5 Pending
287 Carson Kelly MIL MIL @ CHC Runs Batted In 0.5 22.6 D 9.2 -5 Pending
288 JJ Bleday LAD LAD @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
289 Jordan Walker SF SF @ STL Runs Batted In 0.5 22.6 D 9.2 -5 Pending
290 Matt McLain LAD LAD @ CIN Runs 0.5 22.6 D 9.2 -5 Pending
291 Matt McLain LAD LAD @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
292 Max Muncy LAD LAD @ CIN Runs 0.5 22.6 D 9.2 -5 Pending
293 Nate Furman SF SF @ STL Runs Batted In 0.5 22.6 D 9.2 -5 Pending
294 Nolan Gorman SF SF @ STL Runs Batted In 0.5 22.6 D 9.2 -5 Pending
295 Shohei Ohtani LAD LAD @ CIN Runs 0.5 22.6 D 9.2 -5 Pending
296 Will Smith LAD LAD @ CIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
297 Kody Clemens DET DET @ MIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
298 Luke Keaschall DET DET @ MIN Runs Batted In 0.5 22.6 D 9.2 -5 Pending
299 Gleyber Torres DET DET @ MIN Runs 0.5 22.4 D 9.2 -5 Pending
300 Josh Bell DET DET @ MIN Runs 0.5 22.4 D 9.2 -5 Pending
Showing 276–300 of 976 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.