📡 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 |
← Sep 23 →
Wins
3
Losses
3
Win %
50%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
DeWanna Bonner
NYK NYK @ ATL WNBA
Rebounds 3.5 OVER
72.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.6
Fit
5
2
DeWanna Bonner
NYK NYK @ ATL WNBA
Points 7.5 OVER
69.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
21.8
Fit
4
3
Jordin Canada
NYK NYK @ ATL WNBA
Assists 7.5 OVER
64.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
5
4
Drake Baldwin
ATL ATL @ CIN MLB
Hits 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.3
Fit
0

📋 Full Board (1457 picks · Page 53/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1301 Thomas Saggese PIT PIT @ STL Home Runs 1.5 2.3 D 9.2 -5 Pending
1302 Austin Wells NYY NYY @ TB Home Runs 1.5 2.2 D 9.2 -5 Pending
1303 Cedric Mullins NYY NYY @ TB Total Bases 1.5 2.2 D 9.2 -5 Pending
1304 Chase Meidroth KC KC @ CWS Home Runs 1.5 2.2 D 9.2 -5 Pending
1305 Christian Encarnacion-Strand BAL BAL @ TOR Total Bases 1.5 2.2 D 9.2 -5 Pending
1306 Dylan Beavers BAL BAL @ TOR Total Bases 1.5 2.2 D 9.2 -5 Pending
1307 Fernando Tatis Jr. LAD LAD @ SD Home Runs 1.5 2.2 D 9.2 -5 Pending
1308 George Lombard Jr. NYY NYY @ TB Home Runs 1.5 2.2 D 9.2 -5 Pending
1309 Harry Ford DET DET @ WSH Total Bases 1.5 2.2 D 9.2 -5 Pending
1310 Heliot Ramos NYY NYY @ TB Home Runs 1.5 2.2 D 9.2 -5 Pending
1311 Isaac Paredes SEA SEA @ HOU Home Runs 1.5 2.2 D 9.2 -5 Pending
1312 Jeremiah Jackson BAL BAL @ TOR Total Bases 1.5 2.2 D 9.2 -5 Pending
1313 Kyle Tucker LAD LAD @ SD Home Runs 1.5 2.2 D 9.2 -5 Pending
1314 Miguel Vargas KC KC @ CWS Home Runs 1.5 2.2 D 9.2 -5 Pending
1315 Munetaka Murakami KC KC @ CWS Home Runs 1.5 2.2 D 9.2 -5 Pending
1316 Nolan Arenado COL COL @ ARI Home Runs 1.5 2.2 D 9.2 -5 Pending
1317 Shohei Ohtani LAD LAD @ SD Total Bases 1.5 2.2 D 9.2 -5 Pending
1318 Spencer Jones NYY NYY @ TB Home Runs 1.5 2.2 D 9.2 -5 Pending
1319 Tommy Edman LAD LAD @ SD Home Runs 1.5 2.2 D 9.2 -5 Pending
1320 Yordan Alvarez SEA SEA @ HOU Home Runs 1.5 2.2 D 9.2 -5 Pending
1321 Zack Gelof OAK OAK @ LAA Home Runs 1.5 2.2 D 9.2 -5 Pending
1322 Brock Rodden SEA SEA @ HOU Total Bases 1.5 2.2 D 9.2 -5 Pending
1323 Brooks Lee SF SF @ MIN Home Runs 1.5 2.2 D 9.2 -5 Pending
1324 Emmanuel Rodriguez SF SF @ MIN Home Runs 1.5 2.2 D 9.2 -5 Pending
1325 Ryan Kreidler SF SF @ MIN Home Runs 1.5 2.2 D 9.2 -5 Pending
Showing 1301–1325 of 1457 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.