📡 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 20 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 9/27 Sat 9/26
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
31
Dillon Dingler
DET DET @ CWS MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
32
Jonathan Aranda
TB BOS @ TB MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
33
Marcus Semien
NYM PHI @ NYM MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
41
Drake Baldwin
ATL ATL @ HOU MLB
Total Bases 1.5 OVER
47.9 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
21
Fit
0

📋 Full Board (1445 picks · Page 40/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1216 Bryan Torres STL WSH @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1217 Bryson Stott PHI PHI @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1218 Caleb Durbin BOS BOS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1219 Cam Smith HOU ATL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1220 Carlos Cortes OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1221 Carlos Cortes OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1222 Chandler Simpson TB BOS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1223 Chase Meidroth CWS DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1224 Christian Koss SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1225 Christian Moore LAA MIN @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1226 Christian Walker HOU ATL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1227 CJ Abrams WSH WSH @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1228 Colson Montgomery CWS DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1229 Colt Keith DET DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1230 Colton Cowser BAL MIL @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1231 Connor Norby COL SEA @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1232 Cooper Pratt MIL MIL @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1233 Corey Seager TEX TOR @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1234 Denzel Clarke OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1235 Denzer Guzman LAA MIN @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1236 Dustin Harris SD MIA @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1237 Eduardo Valencia DET DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1238 Emmanuel Rodriguez MIN MIN @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1239 Ernie Clement TOR TOR @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1240 Esteury Ruiz MIA MIA @ SD Runs 0.5 3.2 D 9.2 -5 Pending
Showing 976–1000 of 1445 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.