📡 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 25 – Aug 7 →
Wins
29
Losses
28
Push
27
Win %
50.9%
Pending
0
Mon 10/19 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ CON WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
2
PHX @ CON WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
3
PHX @ CON WNBA
Points 15.5 OVER
67.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
PHX @ CON WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1474 picks · Page 58/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Luis Campusano SD HOU @ SD Runs 1.5 1.6 D 9.2 -5 Pending
1427 Luis Lara MIL MIN @ MIL Runs 1.5 1.6 D 9.2 -5 Pending
1428 Luis Rengifo SD HOU @ SD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1429 Luis Robert Jr. NYM NYM @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1430 Max Kepler AZ LAD @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1431 Mike Trout LAA LAA @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1432 Moises Ballesteros LAA LAA @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1433 Mookie Betts LAD LAD @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1434 Nathan Lukes TOR TOR @ PHI Runs 1.5 1.6 D 9.2 -5 Pending
1435 Nathan Lukes TOR TOR @ PHI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1436 Nick Gonzales PIT NYM @ PIT Runs 1.5 1.6 D 9.2 -5 Pending
1437 Nick Gonzales PIT NYM @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1438 Nick Sogard BOS BOS @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1439 Nicky Lopez TEX BAL @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1440 Pete Alonso BAL BAL @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1441 Ryan Jeffers MIN MIN @ MIL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1442 Ryan Kreidler MIN MIN @ MIL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1443 Ryan Waldschmidt AZ LAD @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1444 Sean Murphy ATL ATL @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1445 Taylor Ward SEA TB @ SEA Runs 1.5 1.6 D 9.2 -5 Pending
1446 Taylor Ward SEA TB @ SEA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1447 Tommy White OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1448 Victor Caratini MIN MIN @ MIL Hits 1.5 1.6 D 9.2 -5 Pending
1449 Victor Caratini MIN MIN @ MIL Runs 1.5 1.6 D 9.2 -5 Pending
1450 Victor Caratini MIN MIN @ MIL Total Bases 1.5 1.6 D 9.2 -5 Pending
Showing 1426–1450 of 1474 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.