📡 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 15 – Jul 28 →
Wins
42
Losses
28
Push
13
Win %
60%
Pending
0
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 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
TORONTO TEMPO @ MIN WNBA
Points 18.5 OVER
72.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.9
Fit
4
2
IND @ SEA WNBA
Rebounds 6.5 OVER
70.6 B
  • Heavy minutes projection
  • Stable player role
Raw
64
Clean
23
Fit
5
3
NY @ LA WNBA
Points 19.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28
Fit
4
4
CON @ WSH WNBA
Points 15.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.6
Fit
4

📋 Full Board (1571 picks · Page 60/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1476 Trent Grisham NYY NYY @ CWS Runs 1.5 1.9 D 9.2 -5 Pending
1477 Tyler Stephenson CIN CLE @ CIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1478 Vinnie Pasquantino KC KC @ MIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1479 Wilyer Abreu BOS BOS @ OAK Hits 1.5 1.9 D 9.2 -5 Pending
1480 Yandy Diaz TB TEX @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1481 Yohendrick Pinango TOR TOR @ WSH Runs 1.5 1.9 D 9.2 -5 Pending
1482 Zach McKinstry DET BAL @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1483 Zach McKinstry DET BAL @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1484 Amed Rosario NYY NYY @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1485 Andrew Velazquez KC KC @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
1486 Andrew Velazquez KC KC @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1487 Anthony Volpe NYY NYY @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1488 Blaze Jordan STL CHC @ STL Runs 1.5 1.6 D 9.2 -5 Pending
1489 Brandon Marsh PHI PHI @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1490 Brandon Nimmo TEX TEX @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1491 Byron Buxton MIN KC @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
1492 Byron Buxton MIN KC @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1493 Carter Jensen KC KC @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
1494 Carter Jensen KC KC @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1495 Chadwick Tromp BAL BAL @ DET Runs 1.5 1.6 D 9.2 -5 Pending
1496 Chadwick Tromp BAL BAL @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1497 Chase DeLauter CLE CLE @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1498 Colt Keith DET BAL @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1499 Colton Cowser BAL BAL @ DET Runs 1.5 1.6 D 9.2 -5 Pending
1500 Colton Cowser BAL BAL @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1476–1500 of 1571 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.