📡 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 8 →
Wins
3
Losses
3
Win %
50%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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
Natasha Howard
MIN @ CON WNBA
Rebounds 7.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.9
Fit
5
2
Marina Mabrey
GSV @ TORONT WNBA
Points 20.5 OVER
62.1 C+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
20.5
Fit
4
3
Maria Conde
GSV @ TORONT WNBA
Points 9.5 OVER
61.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22
Fit
4
4
Caitlin Clark
IND @ LA WNBA
Points 16.5 OVER
57.2 C+
  • Projected edge vs line
  • Heavy minutes projection
Raw
67
Clean
11.9
Fit
4

📋 Full Board (1447 picks · Page 14/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
326 Trevor Larnach MIN CLE @ MIN Hits 0.5 30.5 D 17.2 0 Pending
327 Willson Contreras BOS BOS @ CWS Runs Batted In 0.5 30.5 D 17.2 0 Pending
328 Yainer Diaz HOU HOU @ WSH Total Bases 1.5 30.5 D 17.2 0 Pending
329 Nia Coffey MIN @ CON Points 9.5 30.3 D 8.8 4 Pending
330 Alec Bohm PHI PHI @ CIN Runs 0.5 30.2 D 17.2 0 Pending
331 Alejandro Osuna TEX LAA @ TEX Runs Batted In 0.5 30.2 D 17.2 0 Pending
332 Carlos Cortes OAK OAK @ ATHLETICS@ Hits 0.5 30.2 D 17.2 0 Pending
333 Colson Montgomery CWS BOS @ CWS Runs Batted In 0.5 30.2 D 17.2 0 Pending
334 Curtis Mead WSH HOU @ WSH Runs 0.5 30.2 D 17.2 0 Pending
335 David Fry CLE CLE @ MIN Runs Batted In 0.5 30.2 D 17.2 0 Pending
336 Dominic Canzone SEA SEA @ MIA Runs Batted In 0.5 30.2 D 17.2 0 Pending
337 Ezequiel Tovar COL COL @ LAD Hits 0.5 30.2 D 17.2 0 Pending
338 Ezequiel Tovar COL COL @ LAD Runs 0.5 30.2 D 17.2 0 Pending
339 Hao-Yu Lee DET DET @ ATHLETICS@ Runs Batted In 0.5 30.2 D 17.2 0 Pending
340 Ildemaro Vargas AZ ARI @ SD Hits 0.5 30.2 D 17.2 0 Pending
341 Ivan Herrera STL MIL @ STL Runs 0.5 30.2 D 17.2 0 Pending
342 Jake Bauers MIL MIL @ STL Hits 0.5 30.2 D 17.2 0 Pending
343 Jeff McNeil OAK OAK @ ATHLETICS@ Runs Batted In 0.5 30.2 D 17.2 0 Pending
344 Joey Ortiz MIL MIL @ STL Hits 0.5 30.2 D 17.2 0 Pending
345 Jose Altuve HOU HOU @ WSH Runs Batted In 0.5 30.2 D 17.2 0 Pending
346 Kyle Karros COL COL @ LAD Runs 0.5 30.2 D 17.2 0 Pending
347 Matt Olson ATL ATL @ PIT Home Runs 0.5 30.2 D 17.2 0 Pending
348 Max Kepler AZ ARI @ SD Hits 0.5 30.2 D 17.2 0 Pending
349 Mickey Moniak COL COL @ LAD Runs 0.5 30.2 D 17.2 0 Pending
350 Miguel Vargas CWS BOS @ CWS Runs Batted In 0.5 30.2 D 17.2 0 Pending
Showing 326–350 of 1447 picks
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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.