📡 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 |
← May 4 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Rebounds 6.5 OVER
71.9 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
30
Fit
5
2
Rebounds 7.5 OVER
71.2 B
  • Stable player role
Raw
59
Clean
26.3
Fit
5
3
Points 26.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
30
Fit
4
4
Points 18.5 OVER
68.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
27
Fit
4

📋 Full Board (1215 picks · Page 39/49)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Austin Hays CWS CWS @ LAA Runs Batted In 1.5 3.9 D 9.2 -5 Pending
952 Gavin Sheets SD SD @ SF Hits 1.5 3.9 D 9.2 -5 Pending
953 Manny Machado SD SD @ SF Runs Batted In 1.5 3.9 D 9.2 -5 Pending
954 Munetaka Murakami CWS CWS @ LAA Hits 1.5 3.9 D 9.2 -5 Pending
955 Munetaka Murakami CWS CWS @ LAA Runs 1.5 3.9 D 9.2 -5 Pending
956 Ramon Laureano SD SD @ SF Hits 1.5 3.9 D 9.2 -5 Pending
957 Ramon Laureano SD SD @ SF Total Bases 1.5 3.9 D 9.2 -5 Pending
958 Xander Bogaerts SD SD @ SF Runs Batted In 1.5 3.9 D 9.2 -5 Pending
959 Cal Raleigh SEA SEA @ ATL Hits 1.5 3.8 D 9.2 -5 Pending
960 Victor Scott II STL MIL @ STL Hits 1.5 3.7 D 9.2 -5 Pending
961 Andrew Benintendi CWS CWS @ LAA Runs 1.5 3.6 D 9.2 -5 Pending
962 Andrew Benintendi CWS CWS @ LAA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
963 Austin Hays CWS CWS @ LAA Runs 1.5 3.6 D 9.2 -5 Pending
964 Edgar Quero CWS CWS @ LAA Runs 1.5 3.6 D 9.2 -5 Pending
965 Edgar Quero CWS CWS @ LAA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
966 Fernando Tatis Jr. SD SD @ SF Runs 1.5 3.6 D 9.2 -5 Pending
967 Fernando Tatis Jr. SD SD @ SF Runs Batted In 1.5 3.6 D 9.2 -5 Pending
968 Gavin Sheets SD SD @ SF Runs 1.5 3.6 D 9.2 -5 Pending
969 Gavin Sheets SD SD @ SF Runs Batted In 1.5 3.6 D 9.2 -5 Pending
970 Jackson Merrill SD SD @ SF Runs 1.5 3.6 D 9.2 -5 Pending
971 Jackson Merrill SD SD @ SF Runs Batted In 1.5 3.6 D 9.2 -5 Pending
972 Miguel Vargas CWS CWS @ LAA Runs 1.5 3.6 D 9.2 -5 Pending
973 Ramon Laureano SD SD @ SF Runs 1.5 3.6 D 9.2 -5 Pending
974 Brenton Doyle COL COL @ NYM Home Runs 0.5 3.5 D 9.2 -5 Pending
975 Ezequiel Tovar COL COL @ NYM Home Runs 0.5 3.5 D 9.2 -5 Pending
Showing 951–975 of 1215 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.