📡 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 11 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
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 Fri 10/9
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ MIN WNBA
Points 15.5 OVER
78.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
29
Fit
4
2
PHX @ LV WNBA
Points 20.5 OVER
73.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
23.7
Fit
4
3
PHX @ LV WNBA
Points 17.5 OVER
69.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
PHX @ LV WNBA
Rebounds 6.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.7
Fit
5

📋 Full Board (1465 picks · Page 35/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
851 Jake Cronenworth SD TOR @ SD Home Runs 0.5 7.5 D 9.2 -5 Pending
852 Joey Meneses OAK OAK @ ATHLETICS@ Hits 0.5 7.5 D 9.2 -5 Pending
853 Joey Meneses OAK OAK @ ATHLETICS@ Runs 0.5 7.5 D 9.2 -5 Pending
854 Joey Meneses OAK OAK @ ATHLETICS@ Runs Batted In 0.5 7.5 D 9.2 -5 Pending
855 Jonah Heim OAK OAK @ ATHLETICS@ Home Runs 0.5 7.5 D 9.2 -5 Pending
856 Jonah Heim OAK OAK @ ATHLETICS@ Runs 0.5 7.5 D 9.2 -5 Pending
857 Luis Campusano SD TOR @ SD Home Runs 0.5 7.5 D 9.2 -5 Pending
858 Luis Campusano SD TOR @ SD Runs Batted In 0.5 7.5 D 9.2 -5 Pending
859 Miguel Andujar SD TOR @ SD Total Bases 1.5 7.5 D 9.2 -5 Pending
860 Shea Langeliers OAK OAK @ ATHLETICS@ Runs Batted In 0.5 7.5 D 9.2 -5 Pending
861 Sung-Mun Song SD TOR @ SD Runs Batted In 0.5 7.5 D 9.2 -5 Pending
862 Tyler Soderstrom OAK OAK @ ATHLETICS@ Home Runs 0.5 7.5 D 9.2 -5 Pending
863 Tyler Soderstrom OAK OAK @ ATHLETICS@ Runs Batted In 0.5 7.5 D 9.2 -5 Pending
864 Xander Bogaerts SD TOR @ SD Home Runs 0.5 7.5 D 9.2 -5 Pending
865 Xander Bogaerts SD TOR @ SD Runs 0.5 7.5 D 9.2 -5 Pending
866 Bryson Stott PHI PHI @ DET Total Bases 1.5 7.3 D 9.2 -5 Pending
867 Daniel Schneemann CLE CLE @ MIA Total Bases 1.5 7.3 D 9.2 -5 Pending
868 Elly De La Cruz CIN CHC @ CIN Hits 1.5 7.3 D 9.2 -5 Pending
869 LaMonte Wade Jr. HOU HOU @ TEX Total Bases 1.5 7.3 D 9.2 -5 Pending
870 Masyn Winn STL ATL @ STL Total Bases 1.5 7.3 D 9.2 -5 Pending
871 Max Muncy LAD ARI @ LAD Total Bases 1.5 7.3 D 9.2 -5 Pending
872 Sal Frelick MIL MIL @ PIT Total Bases 1.5 7.3 D 9.2 -5 Pending
873 Xander Bogaerts SD TOR @ SD Total Bases 1.5 7.1 D 9.2 -5 Pending
874 Griffin Conine MIA CLE @ MIA Total Bases 1.5 6.8 D 9.2 -5 Pending
875 Henry Bolte OAK OAK @ ATHLETICS@ Total Bases 1.5 6.8 D 9.2 -5 Pending
Showing 851–875 of 1465 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.