📡 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 |
← Aug 15 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Fri 10/2
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
26
Joshua Baez
SPR STL @ CHC MLB
Total Bases 1.5 OVER
50 C
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
21.8
Fit
0
29
Joshua Baez
SPR STL @ CHC MLB
Hits 0.5 OVER
46.8 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.1
Fit
0
30
Trent Grisham
NYY NYY @ TOR MLB
Total Bases 1.5 OVER
45.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
52
Clean
19.6
Fit
0
32
Pete Alonso
BAL BAL @ TB MLB
Hits 1.5 OVER
44.4 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
21.2
Fit
0

📋 Full Board (1419 picks · Page 37/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
985 Carlos Narvaez BAL BAL @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
986 Carson Benge NYM WSH @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
987 Carson Kelly CHC STL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
988 Carter Jensen KC KC @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
989 Cedric Mullins TB BAL @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
990 Chandler Simpson TB BAL @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
991 Christian Franklin BAL BAL @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
992 Christian Koss SF COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
993 Coby Mayo BAL BAL @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
994 Cole Carrigg COL COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
995 Cole Young SEA SEA @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
996 Connor Norby COL COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
997 Corey Julks DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
998 Dane Myers CIN MIA @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
999 David Hamilton MIL MIL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1000 Daylen Lile WSH WSH @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1001 Denzer Guzman LAA KC @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1002 Dillon Dingler DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1003 Drake Baldwin ATL ARI @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1004 Drew Cavanaugh SF COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1005 Edmundo Sosa PHI PHI @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1006 Elias Diaz TEX TEX @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1007 Elly De La Cruz CIN MIA @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1008 Enmanuel Valdez PIT BOS @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1009 Ernie Clement TOR NYY @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 901–925 of 1419 picks
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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.