📡 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 |
← Jun 23 – Jul 22 →
Wins
69
Losses
49
Push
26
Win %
58.5%
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 18.5 OVER
72.8 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23
Fit
4
2
DAL @ POR WNBA
Rebounds 12.5 OVER
72 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
29.1
Fit
5
3
DAL @ POR WNBA
Points 20.5 OVER
69.2 B
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
CON @ IND WNBA
Points 22.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4

📋 Full Board (1610 picks · Page 61/65)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1501 Kyle Karros COL WSH @ COL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1502 Kyle Manzardo CLE MIN @ CLE Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1503 Kyle Tucker LAD LAD @ PHI Hits 1.5 1.9 D 9.2 -5 Pending
1504 Kyle Tucker LAD LAD @ PHI Total Bases 1.5 1.9 D 9.2 -5 Pending
1505 Lawrence Butler OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1506 Luis Arraez SF SF @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1507 Luke Raley SEA CIN @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1508 Marcus Semien NYM NYM @ MIL Runs 1.5 1.9 D 9.2 -5 Pending
1509 Mike Trout LAA STL @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1510 Nelson Velazquez STL STL @ LAA Hits 1.5 1.9 D 9.2 -5 Pending
1511 Nelson Velazquez STL STL @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1512 Nick Loftin KC SF @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1513 Noelvi Marte CIN CIN @ SEA Runs 1.5 1.9 D 9.2 -5 Pending
1514 Nolan Arenado AZ AZ @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
1515 Nolan Schanuel LAA STL @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1516 Paul Goldschmidt NYY PIT @ NYY Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1517 Rafael Devers SF SF @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1518 Rafael Devers SF SF @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1519 Royce Lewis MIN MIN @ CLE Runs 1.5 1.9 D 9.2 -5 Pending
1520 Royce Lewis MIN MIN @ CLE Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1521 Ryan Kreidler MIN MIN @ CLE Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1522 Ryan McMahon NYY PIT @ NYY Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1523 Ryan Waldschmidt AZ AZ @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1524 Sal Stewart CIN CIN @ SEA Runs 1.5 1.9 D 9.2 -5 Pending
1525 Samuel Basallo BAL BAL @ BOS Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1501–1525 of 1610 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.