📡 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 20 →
Wins
4
Losses
1
Push
1
Win %
80%
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
MIN @ SEA WNBA
Points 19.5 OVER
73.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
79
Clean
23.3
Fit
4
2
NY @ DAL WNBA
Points 21.5 OVER
72 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
28.1
Fit
4
3
NY @ DAL WNBA
Rebounds 12.5 OVER
71.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
28.9
Fit
5
4
NY @ DAL WNBA
Rebounds 7.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
29
Fit
5

📋 Full Board (1515 picks · Page 55/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1351 Jorge Soler LAA STL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1352 Jorge Soler LAA STL @ LAA Runs 0.5 3.2 D 9.2 -5 Pending
1353 Jose Caballero NYY PIT @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1354 Josh Bell MIN MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1355 Josh Bell MIN MIN @ CLE Runs 0.5 3.2 D 9.2 -5 Pending
1356 Josh Bell MIN MIN @ CLE Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1357 Josh Jung TEX CWS @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1358 Josh Naylor SEA CIN @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1359 Juan Soto NYM NYM @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1360 Julio Rodriguez SEA CIN @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1361 Jung Hoo Lee SF SF @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1362 Jung Hoo Lee SF SF @ KC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1363 Kahlil Watson CLE MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1364 Kazuma Okamoto TOR TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1365 Kazuma Okamoto TOR TB @ TOR Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1366 Ke'Bryan Hayes CIN CIN @ SEA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1367 Kerry Carpenter DET DET @ CHC Hits 0.5 3.2 D 9.2 -5 Pending
1368 Kerry Carpenter DET DET @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1369 Kerry Carpenter DET DET @ CHC Runs 0.5 3.2 D 9.2 -5 Pending
1370 Kerry Carpenter DET DET @ CHC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1371 Ketel Marte AZ AZ @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1372 Kyle Manzardo CLE MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1373 Kyle Stowers MIA MIA @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1374 Kyle Stowers MIA MIA @ HOU Runs 0.5 3.2 D 9.2 -5 Pending
1375 Kyle Stowers MIA MIA @ HOU Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1351–1375 of 1515 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.