📡 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 20 →
Wins
4
Losses
1
Push
1
Win %
80%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ SEA WNBA
Points 19.5 OVER
73.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
79
Clean
23.3
Fit
4
2
NY @ DAL WNBA
Points 21.5 OVER
72 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
28.1
Fit
4
3
NY @ DAL WNBA
Rebounds 12.5 OVER
71.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
28.9
Fit
5
4
NY @ DAL WNBA
Rebounds 7.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
29
Fit
5

📋 Full Board (1515 picks · Page 58/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Ozzie Albies ATL SD @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1427 Pedro Pages STL STL @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1428 Pedro Ramirez CHC DET @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1429 Pete Crow-Armstrong CHC DET @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1430 Petey Halpin CLE MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1431 Petey Halpin CLE MIN @ CLE Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1432 Ryan O'Hearn PIT PIT @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1433 Ryan Waldschmidt AZ AZ @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1434 Seiya Suzuki CHC DET @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1435 Steven Kwan CLE MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1436 Taylor Trammell HOU MIA @ HOU Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1437 Taylor Walls TB TB @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1438 Taylor Walls TB TB @ TOR Runs 0.5 3.2 D 9.2 -5 Pending
1439 Teoscar Hernandez LAD LAD @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1440 Teoscar Hernandez LAD LAD @ PHI Runs 0.5 3.2 D 9.2 -5 Pending
1441 Teoscar Hernandez LAD LAD @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1442 TJ Friedl CIN CIN @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1443 TJ Friedl CIN CIN @ SEA Runs 0.5 3.2 D 9.2 -5 Pending
1444 TJ Friedl CIN CIN @ SEA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1445 Tommy White OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1446 Tommy White OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1447 Tristan Gray MIN MIN @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1448 Tristan Peters CWS CWS @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1449 Tristan Peters CWS CWS @ TEX Runs 0.5 3.2 D 9.2 -5 Pending
1450 Tsung-Che Cheng BOS BAL @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1426–1450 of 1515 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.