📡 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 9 – Sep 15 →
Wins
6
Losses
6
Win %
50%
Pending
0
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
Runs 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
2
Total Bases 1.5 OVER
44.5 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.3
Fit
0
3
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
48
Clean
19.9
Fit
0
4
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.4
Fit
0

📋 Full Board (1387 picks · Page 54/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1326 Brooks Lee MIN NYY @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1327 Bryson Stott PHI PHI @ WSH Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1328 Carlos Jorge CIN LAD @ CIN Runs 1.5 1.6 D 9.2 -5 Pending
1329 Carlos Jorge CIN LAD @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1330 Carlos Narvaez BAL BAL @ NYM Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1331 Chandler Simpson TB TB @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1332 Christian Moore LAA SEA @ LAA Runs 1.5 1.6 D 9.2 -5 Pending
1333 Cody Freeman TEX BOS @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1334 Colson Montgomery CWS CWS @ CLE Hits 1.5 1.6 D 9.2 -5 Pending
1335 Colson Montgomery CWS CWS @ CLE Total Bases 1.5 1.6 D 9.2 -5 Pending
1336 Ernie Clement TOR DET @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1337 Freddie Freeman LAD LAD @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1338 George Springer TOR DET @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1339 Geraldo Perdomo AZ MIA @ ARI Runs 1.5 1.6 D 9.2 -5 Pending
1340 Hector Rodriguez CIN LAD @ CIN Runs 1.5 1.6 D 9.2 -5 Pending
1341 Hector Rodriguez CIN LAD @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1342 Heriberto Hernandez MIA MIA @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1343 Isaac Collins KC KC @ HOU Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1344 Ivan Herrera STL SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1345 J.T. Realmuto PHI PHI @ WSH Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1346 Jake Rogers CWS CWS @ CLE Runs 1.5 1.6 D 9.2 -5 Pending
1347 Jonah Heim OAK OAK @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
1348 Jonah Heim OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1349 Jorbit Vivas WSH PHI @ WSH Runs 1.5 1.6 D 9.2 -5 Pending
1350 Jordan Walker STL SF @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1326–1350 of 1387 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.