📡 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 6 – Jul 19 →
Wins
38
Losses
28
Push
6
Win %
57.6%
Pending
0
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 Thu 10/8 Wed 10/7
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ DAL WNBA
Rebounds 4.5 OVER
71.8 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.2
Fit
5
2
LA @ DAL WNBA
Points 17.5 OVER
69.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4
3
CHI @ ATL WNBA
Assists 8.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.3
Fit
5
4
LA @ DAL WNBA
Assists 3.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
23.5
Fit
5

📋 Full Board (1496 picks · Page 39/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Daylen Lile WSH WSH @ OAK Total Bases 1.5 5.8 D 9.2 -5 Pending
952 Denzer Guzman LAA DET @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
953 Denzer Guzman LAA DET @ LAA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
954 Dillon Dingler DET DET @ LAA Runs 0.5 5.8 D 9.2 -5 Pending
955 Dominic Canzone SEA SF @ SEA Home Runs 0.5 5.8 D 9.2 -5 Pending
956 Drake Baldwin ATL TEX @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
957 Drew Gilbert SF SF @ SEA Runs 0.5 5.8 D 9.2 -5 Pending
958 Drew Gilbert SF SF @ SEA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
959 Drew Romo CWS CWS @ TOR Hits 0.5 5.8 D 9.2 -5 Pending
960 Dylan Beavers BAL BAL @ HOU Runs 0.5 5.8 D 9.2 -5 Pending
961 Dylan Beavers BAL BAL @ HOU Runs Batted In 0.5 5.8 D 9.2 -5 Pending
962 Dylan Crews WSH WSH @ OAK Runs Batted In 0.5 5.8 D 9.2 -5 Pending
963 Edouard Julien COL CIN @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
964 Edouard Julien COL CIN @ COL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
965 Enmanuel Valdez PIT PIT @ CLE Hits 0.5 5.8 D 9.2 -5 Pending
966 Enmanuel Valdez PIT PIT @ CLE Runs Batted In 0.5 5.8 D 9.2 -5 Pending
967 Ernie Clement TOR CWS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
968 Esteury Ruiz MIA MIA @ MIL Runs 0.5 5.8 D 9.2 -5 Pending
969 Evan Carter TEX TEX @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
970 Francisco Lindor NYM NYM @ PHI Home Runs 0.5 5.8 D 9.2 -5 Pending
971 Francisco Lindor NYM NYM @ PHI Runs 0.5 5.8 D 9.2 -5 Pending
972 Freddie Freeman LAD LAD @ NYY Hits 0.5 5.8 D 9.2 -5 Pending
973 Gabriel Arias CLE PIT @ CLE Home Runs 0.5 5.8 D 9.2 -5 Pending
974 Gabriel Arias CLE PIT @ CLE Runs Batted In 0.5 5.8 D 9.2 -5 Pending
975 Gabriel Rincones Jr. PHI NYM @ PHI Hits 0.5 5.8 D 9.2 -5 Pending
Showing 951–975 of 1496 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.