📡 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 |
← Sep 8 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
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 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
3
Runs Batted In 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
23.2
Fit
0
4
Hits 0.5 OVER
61.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
23.2
Fit
0

📋 Full Board (1314 picks · Page 39/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Javier Sanoja MIA MIA @ NYM Home Runs 2.5 6.3 D 9.2 -5 Pending
952 Kyle Stowers MIA MIA @ NYM Home Runs 2.5 6.3 D 9.2 -5 Pending
953 Andres Gimenez OAK OAK @ TOR Runs Batted In 0.5 6.3 D 9.2 -5 Pending
954 Andrew Benintendi CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
955 Braden Montgomery CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
956 Brandon Lowe CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
957 Jacob Gonzalez CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
958 Munetaka Murakami CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
959 Tristan Peters CWS CWS @ PIT Runs Batted In 0.5 6.2 D 9.2 -5 Pending
960 Rafael Devers SF SF @ STL Home Runs 1.5 6.1 D 9.2 -5 Pending
961 Daylen Lile SD SD @ WSH Hits 0.5 6.1 D 9.2 -5 Pending
962 Jackson Merrill SD SD @ WSH Runs Batted In 0.5 6.1 D 9.2 -5 Pending
963 Jahmai Jones BOS BOS @ LAA Runs Batted In 0.5 6.1 D 9.2 -5 Pending
964 Jordan Lawlar KC KC @ ARI Hits 0.5 6.1 D 9.2 -5 Pending
965 Keibert Ruiz SD SD @ WSH Runs Batted In 0.5 6.1 D 9.2 -5 Pending
966 Mauricio Dubon ATL ATL @ TB Runs 0.5 6.1 D 9.2 -5 Pending
967 Mauricio Dubon ATL ATL @ TB Runs Batted In 0.5 6.1 D 9.2 -5 Pending
968 Michael Harris II ATL ATL @ TB Runs Batted In 0.5 6.1 D 9.2 -5 Pending
969 Nick Sogard BOS BOS @ LAA Runs Batted In 0.5 6.1 D 9.2 -5 Pending
970 Patrick Bailey BAL BAL @ CLE Runs Batted In 0.5 6.1 D 9.2 -5 Pending
971 Samuel Basallo BAL BAL @ CLE Runs 0.5 6.1 D 9.2 -5 Pending
972 Spencer Jones NYY NYY @ COL Home Runs 2.5 6.1 D 9.2 -5 Pending
973 TJ Rumfield NYY NYY @ COL Home Runs 2.5 6.1 D 9.2 -5 Pending
974 Ty France SD SD @ WSH Runs Batted In 0.5 6.1 D 9.2 -5 Pending
975 Andrew Benintendi CWS CWS @ PIT Hits 0.5 6.1 D 9.2 -5 Pending
Showing 951–975 of 1314 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.