📡 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 |
← Apr 20 – Apr 26 →
Wins
29
Losses
29
Push
2
Win %
50%
Pending
0
Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 20.5 OVER
69.6 B
  • Stable player role
Raw
65
Clean
26.5
Fit
4
2
Rebounds 5.5 OVER
68.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
27.3
Fit
5
3
Points 18.5 OVER
65.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
26.6
Fit
4
4
Assists 8.5 OVER
64.9 B-
  • Stable player role
Raw
51
Clean
25.9
Fit
5

📋 Full Board (1565 picks · Page 57/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1401 Jorge Soler LAA LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1402 Josh Lowe LAA LAA @ KC Hits 1.5 1.9 D 9.2 -5 Pending
1403 Josh Lowe LAA LAA @ KC Total Bases 1.5 1.9 D 9.2 -5 Pending
1404 Lane Thomas KC LAA @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1405 Lane Thomas KC LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1406 Lourdes Gurriel Jr. AZ SD @ ARI Hits 1.5 1.9 D 9.2 -5 Pending
1407 Lourdes Gurriel Jr. AZ SD @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1408 Lourdes Gurriel Jr. AZ SD @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1409 Luis Arraez SF MIA @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1410 Maikel Garcia KC LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1411 Rafael Devers SF MIA @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1412 Starling Marte KC LAA @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1413 Starling Marte KC LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1414 Taylor Walls TB MIN @ TB Hits 1.5 1.9 D 9.2 -5 Pending
1415 Taylor Walls TB MIN @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1416 Taylor Walls TB MIN @ TB Total Bases 1.5 1.9 D 9.2 -5 Pending
1417 Willy Adames SF MIA @ SF Hits 1.5 1.9 D 9.2 -5 Pending
1418 Willy Adames SF MIA @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1419 Willy Adames SF MIA @ SF Total Bases 1.5 1.9 D 9.2 -5 Pending
1420 Yoan Moncada LAA LAA @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1421 Yoan Moncada LAA LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1422 Yordan Alvarez HOU HOU @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1423 Zach Neto LAA LAA @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1424 Zach Neto LAA LAA @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1425 Adam Frazier LAA LAA @ KC Total Bases 1.5 1.6 D 9.2 -5 Pending
Showing 1401–1425 of 1565 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.