📡 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 19 – Jul 18 →
Wins
64
Losses
52
Push
28
Win %
55.2%
Pending
0
Fri 10/23 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 39/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Mookie Betts LAD LAD @ NYY Total Bases 1.5 5.1 D 10.3 -5 Pending
952 Munetaka Murakami CWS CWS @ TOR Runs 1.5 5.1 D 10.3 -5 Pending
953 Nick Fortes TB TB @ BOS Total Bases 1.5 5.1 D 10.3 -5 Pending
954 Nolan Arenado AZ STL @ ARI Hits 1.5 5.1 D 10.3 -5 Pending
955 Nolan Arenado AZ STL @ ARI Runs Batted In 1.5 5.1 D 10.3 -5 Pending
956 Riley Greene DET DET @ LAA Hits 1.5 5.1 D 10.3 -5 Pending
957 Samuel Basallo BAL BAL @ HOU Hits 1.5 5.1 D 10.3 -5 Pending
958 Shea Langeliers OAK WSH @ OAK Hits 1.5 5.1 D 10.3 -5 Pending
959 Tyler Soderstrom OAK WSH @ OAK Hits 1.5 5.1 D 10.3 -5 Pending
960 Shane Bieber TOR CWS @ TOR Strikeouts 5.5 5.1 D 11.8 -5 Pending
961 Christian Yelich MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
962 Cooper Pratt MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
963 Fernando Tatis Jr. SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
964 Freddy Fermin SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
965 Freddy Fermin SD SD @ KC Runs Batted In 0.5 4.9 D 9.2 -5 Pending
966 Garrett Mitchell MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
967 Gavin Sheets SD SD @ KC Hits 0.5 4.9 D 9.2 -5 Pending
968 Gavin Sheets SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
969 Jackson Chourio MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
970 Jackson Merrill SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
971 Jake Cronenworth SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
972 Luis Lara MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
973 Sung-Mun Song SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
974 William Contreras MIL MIA @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
975 Adley Rutschman BAL BAL @ HOU Total Bases 1.5 4.8 D 9.2 -5 Pending
Showing 951–975 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.