📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Aug 13 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ NY WNBA
Assists 2.5 OVER
65.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.3
Fit
5
2
LA @ NY WNBA
Rebounds 2.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
22.5
Fit
5
3
LA @ NY WNBA
Points 18.5 OVER
64.5 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.8
Fit
4
4
LA @ NY WNBA
Points 13.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.1
Fit
4

📋 Full Board (942 picks · Page 15/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
351 Braden Montgomery CWS CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
352 Brandon Lowe PIT PIT @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
353 Brandon Lowe PIT PIT @ MIA Total Bases 1.5 5.8 D 9.2 -5 Pending
354 Brandon Nimmo TEX TEX @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
355 Brenton Doyle CWS CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
356 Brooks Lee MIN PHI @ MIN Home Runs 0.5 5.8 D 9.2 -5 Pending
357 Bryce Harper PHI PHI @ MIN Home Runs 0.5 5.8 D 9.2 -5 Pending
358 Ceddanne Rafaela BOS BOS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
359 Charles McAdoo TOR BOS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
360 Chase DeLauter CLE CLE @ DET Home Runs 0.5 5.8 D 9.2 -5 Pending
361 Christian Yelich MIL MIL @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
362 Christian Yelich MIL MIL @ LAD Total Bases 1.5 5.8 D 9.2 -5 Pending
363 CJ Abrams WSH CHC @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
364 Colson Montgomery CWS CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
365 Colson Montgomery CWS CIN @ CWS Total Bases 1.5 5.8 D 9.2 -5 Pending
366 Corey Julks DET CLE @ DET Runs 0.5 5.8 D 9.2 -5 Pending
367 Dansby Swanson CHC CHC @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
368 Daylen Lile WSH CHC @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
369 Dominic Canzone SEA SEA @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
370 Dylan Crews WSH CHC @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
371 Edgar Quero CWS CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
372 Elly De La Cruz CIN CIN @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
373 Esmerlyn Valdez PIT PIT @ MIA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
374 Esteury Ruiz MIA PIT @ MIA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
375 George Lombard Jr. NYY SEA @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 351–375 of 942 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.