📡 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 12/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Masyn Winn STL MIL @ STL Runs Batted In 0.5 33.1 D 17.2 0 Pending
277 Mickey Moniak COL COL @ LAD Total Bases 1.5 33.1 D 17.2 0 Pending
278 Jake McCarthy COL COL @ LAD Total Bases 1.5 32.9 D 17.2 0 Pending
279 Alejandro Osuna TEX LAA @ TEX Hits 0.5 32.8 D 17.2 0 Pending
280 Austin Hedges CLE CLE @ MIN Runs Batted In 0.5 32.8 D 17.2 0 Pending
281 Cal Raleigh SEA SEA @ MIA Runs Batted In 0.5 32.8 D 17.2 0 Pending
282 CJ Abrams WSH HOU @ WSH Runs Batted In 0.5 32.8 D 17.2 0 Pending
283 Esmerlyn Valdez PIT ATL @ PIT Runs Batted In 0.5 32.8 D 17.2 0 Pending
284 Ivan Herrera STL MIL @ STL Hits 0.5 32.8 D 17.2 0 Pending
285 Kyle Karros COL COL @ LAD Hits 0.5 32.8 D 17.2 0 Pending
286 Kyle Tucker LAD COL @ LAD Runs 0.5 32.8 D 17.2 0 Pending
287 Michael Harris II ATL ATL @ PIT Runs 0.5 32.8 D 17.2 0 Pending
288 Ryan O'Hearn PIT ATL @ PIT Runs 0.5 32.8 D 17.2 0 Pending
289 Jake Cronenworth SD ARI @ SD Runs Batted In 0.5 32.5 D 17.2 0 Pending
290 Kyle Stowers MIA SEA @ MIA Total Bases 1.5 32.5 D 17.2 0 Pending
291 CJ Abrams WSH HOU @ WSH Total Bases 1.5 32.1 D 17.6 0 Pending
292 Dalton Rushing LAD COL @ LAD Total Bases 1.5 31.9 D 17.2 0 Pending
293 Marina Mabrey GSV @ TORONT 3-Pointers Made 3.5 31.4 D 11.8 0 Pending
294 Dansby Swanson CHC CHC @ BAL Runs Batted In 1.5 31.2 D 17.2 0 Pending
295 Kyle Tucker LAD COL @ LAD Hits 0.5 31.2 D 17.2 0 Pending
296 Michael Conforto CHC CHC @ BAL Total Bases 1.5 31.2 D 17.2 0 Pending
297 Nick Loftin KC KC @ NYM Total Bases 1.5 31.2 D 17.2 0 Pending
298 Yordan Alvarez HOU HOU @ WSH Runs Batted In 0.5 31.2 D 17.2 0 Pending
299 Colson Montgomery CWS BOS @ CWS Total Bases 1.5 30.9 D 17.2 0 Pending
300 Shohei Ohtani LAD COL @ LAD Total Bases 1.5 30.9 D 17.2 0 Pending
Showing 276–300 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.