📡 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 |
← Jun 25 – Jul 8 →
Wins
19
Losses
16
Push
13
Win %
54.3%
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
MIN @ CON WNBA
Rebounds 7.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.9
Fit
5
2
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
GSV @ TORONT WNBA
Points 9.5 OVER
61.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22
Fit
4
4
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 13/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
301 A.J. Ewing NYM KC @ NYM Runs 0.5 30.5 D 17.2 0 Pending
302 Bryan Reynolds PIT ATL @ PIT Total Bases 1.5 30.5 D 17.2 0 Pending
303 Carter Jensen KC KC @ NYM Total Bases 1.5 30.5 D 17.2 0 Pending
304 Colt Emerson SEA SEA @ MIA Hits 0.5 30.5 D 17.2 0 Pending
305 Dalton Rushing LAD COL @ LAD Runs Batted In 0.5 30.5 D 17.2 0 Pending
306 Dansby Swanson CHC CHC @ BAL Home Runs 0.5 30.5 D 17.2 0 Pending
307 Dominic Canzone SEA SEA @ MIA Total Bases 1.5 30.5 D 17.2 0 Pending
308 Endy Rodriguez PIT ATL @ PIT Runs Batted In 0.5 30.5 D 17.2 0 Pending
309 Ezequiel Tovar COL COL @ LAD Runs Batted In 0.5 30.5 D 17.2 0 Pending
310 Ezequiel Tovar COL COL @ LAD Total Bases 1.5 30.5 D 17.2 0 Pending
311 Gabriel Rincones Jr. PHI PHI @ CIN Total Bases 1.5 30.5 D 17.2 0 Pending
312 Jake McCarthy COL COL @ LAD Runs 0.5 30.5 D 17.2 0 Pending
313 JJ Wetherholt STL MIL @ STL Total Bases 1.5 30.5 D 17.2 0 Pending
314 Kyle Schwarber PHI PHI @ CIN Hits 0.5 30.5 D 17.2 0 Pending
315 Kyle Stowers MIA SEA @ MIA Runs 0.5 30.5 D 17.2 0 Pending
316 Lane Thomas KC KC @ NYM Runs Batted In 0.5 30.5 D 17.2 0 Pending
317 Luke Keaschall MIN CLE @ MIN Runs 0.5 30.5 D 17.2 0 Pending
318 Matt Olson ATL ATL @ PIT Runs Batted In 0.5 30.5 D 17.2 0 Pending
319 Max Kepler AZ ARI @ SD Runs Batted In 0.5 30.5 D 17.2 0 Pending
320 Michael Busch CHC CHC @ BAL Total Bases 1.5 30.5 D 17.2 0 Pending
321 Michael Massey KC KC @ NYM Runs 0.5 30.5 D 17.2 0 Pending
322 Nathan Church STL MIL @ STL Runs Batted In 0.5 30.5 D 17.2 0 Pending
323 Nathan Church STL MIL @ STL Total Bases 1.5 30.5 D 17.2 0 Pending
324 Randy Arozarena SEA SEA @ MIA Runs Batted In 0.5 30.5 D 17.2 0 Pending
325 Shohei Ohtani LAD COL @ LAD Runs Batted In 0.5 30.5 D 17.2 0 Pending
Showing 301–325 of 1447 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.