📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Jul 12 →
Wins
6
Losses
0
Win %
100%
Pending
0
Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
CHI @ DAL WNBA
Points 21.5 OVER
69.3 B
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
28.2
Fit
4
2
CHI @ DAL WNBA
Rebounds 4.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
27.6
Fit
5
3
SEA @ WSH WNBA
Assists 2.5 OVER
63.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.2
Fit
5
4
CHI @ DAL WNBA
Assists 6.5 OVER
63.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5

📋 Full Board (1494 picks · Page 58/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Trevor Larnach MIN LAA @ MIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1427 Tristan Gray MIN LAA @ MIN Runs 0.5 3.2 D 9.2 -5 Pending
1428 Troy Johnston COL COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1429 Tyler Stephenson CIN CHC @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1430 Tyler Stephenson CIN CHC @ CIN Runs 0.5 3.2 D 9.2 -5 Pending
1431 Tyler Stephenson CIN CHC @ CIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1432 Victor Robles SEA SEA @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1433 Victor Robles SEA SEA @ TB Runs 0.5 3.2 D 9.2 -5 Pending
1434 Victor Robles SEA SEA @ TB Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1435 Vinnie Pasquantino KC KC @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1436 Weston Wilson SEA SEA @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1437 William Contreras MIL MIL @ PIT Hits 0.5 3.2 D 9.2 -5 Pending
1438 William Contreras MIL MIL @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1439 Xavier Edwards MIA CLE @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1440 Zach Neto LAA LAA @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1441 Zach Neto LAA LAA @ MIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1442 Zack Short NYM BOS @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1443 Zack Short NYM BOS @ NYM Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1444 Dominique Malonga SEA @ WSH Rebounds 8.5 2.7 D 1.8 -5 Pending
1445 Andres Gimenez TOR TOR @ SD Total Bases 1.5 2.2 D 9.2 -5 Pending
1446 Braden Montgomery CWS CWS @ ATHLETICS@ Total Bases 1.5 2.2 D 9.2 -5 Pending
1447 Christian Yelich MIL MIL @ PIT Total Bases 1.5 2.2 D 9.2 -5 Pending
1448 Edmundo Sosa PHI PHI @ DET Total Bases 1.5 2.2 D 9.2 -5 Pending
1449 Francisco Lindor NYM BOS @ NYM Total Bases 1.5 2.2 D 9.2 -5 Pending
1450 Jared Triolo PIT MIL @ PIT Total Bases 1.5 2.2 D 9.2 -5 Pending
Showing 1426–1450 of 1494 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.