📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Apr 18 – May 17 →
Wins
74
Losses
119
Push
9
Win %
38.3%
Pending
0
Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Assists 9.5 OVER
72.3 B
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
30
Fit
5
2
Points 26.5 OVER
70.2 B
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
29.9
Fit
4
3
Rebounds 5.5 OVER
67.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
29.5
Fit
5
4
Points 20.5 OVER
66.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
30
Fit
4

📋 Full Board (1484 picks · Page 37/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
901 Justin Crawford PHI PHI @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
902 Kody Clemens MIN MIN @ MIL Home Runs 0.5 5.8 D 9.2 -5 Pending
903 Luis Arraez SF SF @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
904 Matt Vierling DET TOR @ DET Home Runs 0.5 5.8 D 9.2 -5 Pending
905 Mauricio Dubon ATL BOS @ ATL Runs 0.5 5.8 D 9.2 -5 Pending
906 Michael Massey KC KC @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
907 Mickey Moniak COL COL @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
908 Mitch Garver SEA SEA @ SD Hits 0.5 5.8 D 9.2 -5 Pending
909 Pedro Pages STL STL @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
910 Pete Crow-Armstrong CHC CHC @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
911 Pete Crow-Armstrong CHC CHC @ CWS Total Bases 1.5 5.8 D 9.2 -5 Pending
912 Rafael Devers SF SF @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
913 Samuel Basallo BAL BAL @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
914 TJ Rumfield COL COL @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
915 Trevor Larnach MIN MIN @ MIL Home Runs 0.5 5.8 D 9.2 -5 Pending
916 Trevor Larnach MIN MIN @ MIL Total Bases 1.5 5.8 D 9.2 -5 Pending
917 Tyler O'Neill BAL BAL @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
918 Victor Caratini MIN MIN @ MIL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
919 Victor Scott II STL STL @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
920 Yandy Diaz TB MIA @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
921 Zach Neto LAA LAD @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
922 Christian Vazquez HOU TEX @ HOU Runs Batted In 0.5 5.7 D 9.2 -5 Pending
923 Zach Dezenzo HOU TEX @ HOU Runs Batted In 0.5 5.7 D 9.2 -5 Pending
924 Cody Bellinger NYY NYM @ NYY Runs 1.5 5.7 D 9.2 -5 Pending
925 Jazz Chisholm Jr. NYY NYM @ NYY Runs 1.5 5.7 D 9.2 -5 Pending
Showing 901–925 of 1484 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.