📡 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 20 →
Wins
2
Losses
3
Push
1
Win %
40%
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
NY @ TORONTO WNBA
Points 16.5 OVER
77.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
22.8
Fit
4
2
POR @ LA WNBA
Points 7.5 OVER
76.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
85
Clean
22.8
Fit
4
3
POR @ LA WNBA
Points 14.5 OVER
75 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
83
Clean
22.4
Fit
4
4
SEA @ LV WNBA
Points 13.5 OVER
71.2 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
21.7
Fit
4

📋 Full Board (2103 picks · Page 66/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1626 Xavier Edwards MIA MIA @ SD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1627 Yandy Diaz TB BOS @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1628 Zach Neto LAA MIN @ LAA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1629 Drake Maye — Interceptions 0.5 1.9 D -3 -5 Pending
1630 Rachaad White WSH @ DAL RUSH YDS 22.5 1.9 D -1.5 -5 Pending
1631 George Kittle MIA @ SF Receptions 3.5 1.8 D -2.2 -5 Pending
1632 Tyler Allgeier SEA @ ARI RUSH YDS 36.5 1.8 D -2.5 -5 Pending
1633 Saquon Barkley — RUSH ATT 18.5 1.8 D -1.7 -5 Pending
1634 Jaylen Warren — RUSH ATT 11.5 1.6 D -1.6 -5 Pending
1635 Adael Amador COL SEA @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1636 Alejandro Osuna TEX TOR @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1637 Alex Bregman CHC CHC @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1638 Alika Williams OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1639 Angel Genao CLE CLE @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1640 Anthony Volpe NYY NYY @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1641 Ben Ross MIN MIN @ LAA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1642 Braden Montgomery CWS DET @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1643 Brandon Valenzuela TOR TOR @ TEX Hits 1.5 1.6 D 9.2 -5 Pending
1644 Brandon Valenzuela TOR TOR @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1645 Brandon Valenzuela TOR TOR @ TEX Total Bases 1.5 1.6 D 9.2 -5 Pending
1646 Brenton Doyle CWS DET @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1647 Brewer Hicklen ATL ATL @ HOU Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1648 Brock Rodden SEA SEA @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1649 Cam Smith HOU ATL @ HOU Runs 1.5 1.6 D 9.2 -5 Pending
1650 Cam Smith HOU ATL @ HOU Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1626–1650 of 2103 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.