📡 SCORES
🏈 Loading...

⚡ 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 39/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Jung Hoo Lee SF COL @ SF Total Bases 1.5 6 D 9.6 -5 Pending
952 Mauricio Dubon ATL ATL @ STL Hits 1.5 6 D 9.6 -5 Pending
953 Mookie Betts LAD ARI @ LAD Total Bases 1.5 6 D 9.6 -5 Pending
954 Nicky Lopez TEX HOU @ TEX Total Bases 1.5 6 D 9.6 -5 Pending
955 Nico Hoerner CHC CHC @ CIN Total Bases 1.5 6 D 9.6 -5 Pending
956 Tommy Edman LAD ARI @ LAD Total Bases 1.5 6 D 9.6 -5 Pending
957 Trent Grisham NYY NYY @ WSH Hits 1.5 6 D 9.6 -5 Pending
958 Alec Bohm PHI PHI @ DET Runs Batted In 0.5 5.8 D 9.2 -5 Pending
959 Alec Burleson STL ATL @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
960 Alejandro Kirk TOR TOR @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
961 Alex Bregman CHC CHC @ CIN Runs 0.5 5.8 D 9.2 -5 Pending
962 Andres Gimenez TOR TOR @ SD Runs 0.5 5.8 D 9.2 -5 Pending
963 Andy Pages LAD ARI @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
964 Anthony Seigler BOS BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
965 Austin Riley ATL ATL @ STL Runs 0.5 5.8 D 9.2 -5 Pending
966 Austin Riley ATL ATL @ STL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
967 Ben Malgeri DET PHI @ DET Runs 0.5 5.8 D 9.2 -5 Pending
968 Blaze Alexander BAL KC @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
969 Blaze Alexander BAL KC @ BAL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
970 Bobby Witt Jr. KC KC @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
971 Brandon Lowe PIT MIL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
972 Brandon Nimmo TEX HOU @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
973 Brayan Rocchio CLE CLE @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
974 Brett Baty NYM BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
975 Brice Turang MIL MIL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 951–975 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.