📡 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 |
← Jul 4 – Aug 2 →
Wins
81
Losses
61
Push
13
Win %
57%
Pending
0
Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
CON @ DAL WNBA
Points 15.5 OVER
79.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
81
Clean
28.8
Fit
4
2
CON @ DAL WNBA
Rebounds 2.5 OVER
66.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
26.9
Fit
5
3
LA @ POR WNBA
Assists 2.5 OVER
66 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.5
Fit
5
4
CON @ DAL WNBA
Assists 3.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
26.5
Fit
5

📋 Full Board (1510 picks · Page 55/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1351 Enmanuel Valdez PIT PIT @ CIN Runs 1.5 1.9 D 9.2 -5 Pending
1352 Enmanuel Valdez PIT PIT @ CIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1353 Enmanuel Valdez PIT PIT @ CIN Total Bases 1.5 1.9 D 9.2 -5 Pending
1354 Ernie Clement TOR STL @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1355 Ezequiel Duran TEX TEX @ HOU Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1356 Freddie Freeman LAD BOS @ LAD Runs 1.5 1.9 D 9.2 -5 Pending
1357 Gavin Sheets SD SF @ SD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1358 Ian Happ CHC NYY @ CHC Runs 1.5 1.9 D 9.2 -5 Pending
1359 Isaac Paredes HOU TEX @ HOU Runs 1.5 1.9 D 9.2 -5 Pending
1360 Ivan Herrera STL STL @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1361 Jacob Gonzalez PIT PIT @ CIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1362 Jake Cronenworth SD SF @ SD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1363 Jarren Duran BOS BOS @ LAD Runs 1.5 1.9 D 9.2 -5 Pending
1364 Jimmy Crooks STL STL @ TOR Hits 1.5 1.9 D 9.2 -5 Pending
1365 Jimmy Crooks STL STL @ TOR Total Bases 1.5 1.9 D 9.2 -5 Pending
1366 JJ Wetherholt STL STL @ TOR Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1367 Jonny Deluca TB CWS @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1368 Jordan Walker STL STL @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1369 Jose Caballero NYY NYY @ CHC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1370 Josh Bell MIN MIN @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1371 Josh Naylor SEA MIN @ SEA Runs 1.5 1.9 D 9.2 -5 Pending
1372 Josh Naylor SEA MIN @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1373 Junior Caminero TB CWS @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1374 Kyle Schwarber PHI PHI @ BAL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1375 LaMonte Wade Jr. HOU TEX @ HOU Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1351–1375 of 1510 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.