📡 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 |
← Apr 22 →
Wins
11
Losses
8
Push
1
Win %
57.9%
Pending
0
Wed 11/4 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
59.6 C+
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
77
Clean
21.2
Fit
0
2
Total Bases 1.5 OVER
57.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.7
Fit
0
3
Home Runs 0.5 OVER
57.1 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
4
Total Bases 1.5 OVER
56.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
20.1
Fit
0

📋 Full Board (1455 picks · Page 25/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
601 Ketel Marte AZ CWS @ ARI Runs 1.5 10.5 D 11.4 -5 Pending
602 Luis Arraez SF LAD @ SF Runs 1.5 10.5 D 11.4 -5 Pending
603 Nick Fortes TB CIN @ TB Hits 1.5 10.5 D 11.4 -5 Pending
604 Nick Fortes TB CIN @ TB Total Bases 1.5 10.5 D 11.4 -5 Pending
605 Nick Kurtz OAK OAK @ ATHLETICS@ Hits 1.5 10.5 D 11.4 -5 Pending
606 Ozzie Albies ATL ATL @ WSH Hits 1.5 10.5 D 11.4 -5 Pending
607 Rafael Devers SF LAD @ SF Hits 1.5 10.5 D 11.4 -5 Pending
608 Shohei Ohtani LAD LAD @ SF Runs 1.5 10.5 D 11.4 -5 Pending
609 Willy Adames SF LAD @ SF Hits 1.5 10.5 D 11.4 -5 Pending
610 Isiah Kiner-Falefa BOS NYY @ BOS Total Bases 1.5 10.5 D 9.6 -5 Pending
611 Bryce Teodosio LAA TOR @ LAA Runs Batted In 1.5 10.4 D 9.2 -5 Pending
612 Logan O'Hoppe LAA TOR @ LAA Runs Batted In 1.5 10.4 D 9.2 -5 Pending
613 Mike Trout LAA TOR @ LAA Runs Batted In 1.5 10.4 D 9.2 -5 Pending
614 Josh Naylor SEA SEA @ OAK Total Bases 1.5 10.3 D 9.2 -5 Pending
615 Kazuma Okamoto TOR TOR @ LAA Total Bases 1.5 10.3 D 9.2 -5 Pending
616 Mickey Moniak COL COL @ SD Total Bases 2.5 10.3 D 11.2 -5 Pending
617 Adolis Garcia PHI CHC @ PHI Total Bases 1.5 10.3 D 9.2 -5 Pending
618 Christian Walker HOU CLE @ HOU Runs Batted In 1.5 10.2 D 9.2 -5 Pending
619 Kyle Schwarber PHI CHC @ PHI Runs 1.5 10.2 D 9.2 -5 Pending
620 JJ Wetherholt STL MIA @ STL Runs Batted In 1.5 10.2 D 9.2 -5 Pending
621 Dustin Harris HOU CLE @ HOU Hits 0.5 10.2 D 9.2 -5 Pending
622 Dominic Canzone SEA SEA @ OAK Hits 1.5 10.1 D 9.4 -5 Pending
623 Josh Naylor SEA SEA @ OAK Hits 1.5 10.1 D 9.4 -5 Pending
624 Jo Adell LAA TOR @ LAA Total Bases 1.5 10 D 9.2 -5 Pending
625 Vaughn Grissom LAA TOR @ LAA Total Bases 1.5 10 D 9.2 -5 Pending
Showing 601–625 of 1455 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.