📡 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 27 – Jul 10 →
Wins
27
Losses
20
Push
13
Win %
57.4%
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
DAL @ TORONT WNBA
Points 21.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.6
Fit
4
2
DAL @ TORONT WNBA
Points 21.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
21
Fit
4
3
DAL @ TORONT WNBA
Assists 6.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5
4
DAL @ TORONT WNBA
Rebounds 4.5 OVER
62.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
23
Fit
5

📋 Full Board (1471 picks · Page 39/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Carson Kelly CHC CHC @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
952 Ceddanne Rafaela BOS BOS @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
953 Cedric Mullins TB SEA @ TB Hits 0.5 5.8 D 9.2 -5 Pending
954 Cedric Mullins TB SEA @ TB Runs 0.5 5.8 D 9.2 -5 Pending
955 Chase Meidroth CWS CWS @ ATHLETICS@ Runs 0.5 5.8 D 9.2 -5 Pending
956 Christian Walker HOU HOU @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
957 Christian Yelich MIL MIL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
958 Cody Bellinger NYY NYY @ WSH Runs 0.5 5.8 D 9.2 -5 Pending
959 Cody Bellinger NYY NYY @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
960 Cole Young SEA SEA @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
961 Cole Young SEA SEA @ TB Runs Batted In 0.5 5.8 D 9.2 -5 Pending
962 Colton Cowser BAL KC @ BAL Hits 0.5 5.8 D 9.2 -5 Pending
963 Colton Cowser BAL KC @ BAL Runs 0.5 5.8 D 9.2 -5 Pending
964 Corbin Carroll AZ ARI @ LAD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
965 Curtis Mead WSH NYY @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
966 Dalton Rushing LAD ARI @ LAD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
967 Dalton Rushing LAD ARI @ LAD Total Bases 1.5 5.8 D 9.2 -5 Pending
968 Daniel Schneemann CLE CLE @ MIA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
969 Dansby Swanson CHC CHC @ CIN Runs Batted In 0.5 5.8 D 9.2 -5 Pending
970 Daulton Varsho TOR TOR @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
971 Daylen Lile WSH NYY @ WSH Runs 0.5 5.8 D 9.2 -5 Pending
972 Daylen Lile WSH NYY @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
973 Dillon Dingler DET PHI @ DET Runs Batted In 0.5 5.8 D 9.2 -5 Pending
974 Drake Baldwin ATL ATL @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
975 Drew Cavanaugh SF COL @ SF Runs 0.5 5.8 D 9.2 -5 Pending
Showing 951–975 of 1471 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.