📡 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 17 – Aug 15 →
Wins
56
Losses
44
Push
79
Win %
56%
Pending
0
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 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ WSH WNBA
Points 7.5 OVER
69 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
22.8
Fit
4
2
LA @ WSH WNBA
Assists 2.5 OVER
65.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.3
Fit
5
3
LA @ WSH WNBA
Rebounds 2.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
22.5
Fit
5
4
NY @ CON WNBA
Points 18.5 OVER
64.5 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.8
Fit
4

📋 Full Board (1529 picks · Page 57/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1401 Wilyer Abreu BOS BOS @ PIT Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1402 Wyatt Langford TEX TEX @ OAK Hits 1.5 1.9 D 9.2 -5 Pending
1403 Wyatt Langford TEX TEX @ OAK Runs 1.5 1.9 D 9.2 -5 Pending
1404 Wyatt Langford TEX TEX @ OAK Total Bases 1.5 1.9 D 9.2 -5 Pending
1405 Xavier Edwards MIA MIA @ CIN Runs 1.5 1.9 D 9.2 -5 Pending
1406 Yainer Diaz HOU SEA @ HOU Hits 1.5 1.9 D 9.2 -5 Pending
1407 Yainer Diaz HOU SEA @ HOU Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1408 Yainer Diaz HOU SEA @ HOU Total Bases 1.5 1.9 D 9.2 -5 Pending
1409 A.J. Ewing NYM WSH @ NYM Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1410 Adley Rutschman BOS BOS @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1411 Alika Williams OAK TEX @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1412 Andrew Vaughn MIL MIL @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1413 Austin Wells NYY NYY @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1414 Blaze Jordan STL STL @ CHC Runs 1.5 1.6 D 9.2 -5 Pending
1415 Blaze Jordan STL STL @ CHC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1416 Bobby Witt Jr. KC KC @ LAA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1417 Brett Bateman TOR NYY @ TOR Runs 1.5 1.6 D 9.2 -5 Pending
1418 Bryan Reynolds PIT BOS @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1419 Byron Buxton MIN PHI @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
1420 Byron Buxton MIN PHI @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1421 Cal Raleigh SEA SEA @ HOU Runs 1.5 1.6 D 9.2 -5 Pending
1422 Cal Raleigh SEA SEA @ HOU Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1423 Carlos Narvaez BAL BAL @ TB Runs 1.5 1.6 D 9.2 -5 Pending
1424 Carlos Narvaez BAL BAL @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1425 Carter Jensen KC KC @ LAA Hits 1.5 1.6 D 9.2 -5 Pending
Showing 1401–1425 of 1529 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.