📡 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 |
← Jun 12 – Jul 11 →
Wins
55
Losses
46
Push
24
Win %
54.5%
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 40/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
976 Bryce Eldridge SF COL @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
977 Bryce Eldridge SF COL @ SF Runs Batted In 0.5 5.8 D 9.2 -5 Pending
978 Bryson Stott PHI PHI @ DET Runs Batted In 0.5 5.8 D 9.2 -5 Pending
979 Cal Raleigh SEA SEA @ TB Runs 0.5 5.8 D 9.2 -5 Pending
980 Cal Raleigh SEA SEA @ TB Total Bases 1.5 5.8 D 9.2 -5 Pending
981 Caleb Durbin BOS BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
982 Carson Benge NYM BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
983 Carson Kelly CHC CHC @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
984 Carson Kelly CHC CHC @ CIN Runs Batted In 0.5 5.8 D 9.2 -5 Pending
985 Carson Kelly CHC CHC @ CIN Total Bases 1.5 5.8 D 9.2 -5 Pending
986 Casey Schmitt SF COL @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
987 Ceddanne Rafaela BOS BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
988 Cedric Mullins TB SEA @ TB Hits 0.5 5.8 D 9.2 -5 Pending
989 Cedric Mullins TB SEA @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
990 Cedric Mullins TB SEA @ TB Runs 0.5 5.8 D 9.2 -5 Pending
991 Cedric Mullins TB SEA @ TB Runs Batted In 0.5 5.8 D 9.2 -5 Pending
992 Chandler Simpson TB SEA @ TB Runs Batted In 0.5 5.8 D 9.2 -5 Pending
993 Chase Meidroth CWS CWS @ ATHLETICS@ Runs Batted In 0.5 5.8 D 9.2 -5 Pending
994 Christian Walker HOU HOU @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
995 Christian Yelich MIL MIL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
996 Coby Mayo BAL KC @ BAL Home Runs 0.5 5.8 D 9.2 -5 Pending
997 Coby Mayo BAL KC @ BAL Runs 0.5 5.8 D 9.2 -5 Pending
998 Cody Bellinger NYY NYY @ WSH Runs 0.5 5.8 D 9.2 -5 Pending
999 Cody Bellinger NYY NYY @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1000 Colson Montgomery CWS CWS @ ATHLETICS@ Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 976–1000 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.