📡 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 14 – Aug 12 →
Wins
62
Losses
50
Push
67
Win %
55.4%
Pending
0
Fri 10/16 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ POR WNBA
Points 15.5 OVER
66.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
22.4
Fit
4
2
TORONTO TEMPO @ DAL WNBA
Points 7.5 OVER
65.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
21.5
Fit
4
3
CHI @ GSV WNBA
Rebounds 6.5 OVER
65.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
22
Fit
5
4
CHI @ GSV WNBA
Points 11.5 OVER
63.3 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
21.9
Fit
4

📋 Full Board (1508 picks · Page 40/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
976 Drake Baldwin ATL NYM @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
977 Drew Cavanaugh SF HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
978 Drew Romo CWS CIN @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
979 Dylan Beavers BAL BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
980 Eduardo Valencia DET CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
981 Elias Diaz TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
982 Enmanuel Valdez PIT PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
983 Ernie Clement TOR BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
984 Esmerlyn Valdez PIT PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
985 Esmerlyn Valdez PIT PIT @ MIA Runs 0.5 3.2 D 9.2 -5 Pending
986 Esmerlyn Valdez PIT PIT @ MIA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
987 Evan Carter TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
988 Ezequiel Duran TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
989 Ezequiel Tovar COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
990 Freddie Freeman LAD KC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
991 Gabriel Moreno AZ COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
992 Garrett Mitchell MIL MIL @ SD Runs 0.5 3.2 D 9.2 -5 Pending
993 George Springer TOR BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
994 Geraldo Perdomo AZ COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
995 Gleyber Torres DET CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
996 Hao-Yu Lee DET CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
997 Hector Rodriguez CIN CIN @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
998 Heliot Ramos NYY SEA @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
999 Heliot Ramos NYY SEA @ NYY Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1000 Henry Davis PIT PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 976–1000 of 1508 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.