📡 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 22 – Jun 20 →
Wins
57
Losses
69
Push
11
Win %
45.2%
Pending
0
Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
47.6 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
56
Clean
19.6
Fit
0
2
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.2
Fit
0
3
Total Bases 1.5 OVER
46.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.3
Fit
0
4
Total Bases 1.5 OVER
45.8 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
53
Clean
19.3
Fit
0

📋 Full Board (1265 picks · Page 42/51)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1026 Jorge Mateo ATL MIL @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1027 Jose Caballero NYY CIN @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1028 Jung Hoo Lee SF SF @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1029 Junior Caminero TB WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1030 Kahlil Watson CLE CLE @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1031 Keibert Ruiz WSH WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1032 Kyle Karros COL PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1033 Leody Taveras BAL BAL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1034 Lourdes Gurriel Jr. AZ MIN @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1035 Luis Arraez SF SF @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1036 Marcus Semien NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1037 Mark Vientos NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1038 Matt McLain CIN CIN @ NYY Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1039 Matt Shaw CHC TOR @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1040 Mauricio Dubon ATL MIL @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1041 Miguel Vargas CWS CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1042 Nasim Nunez WSH WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1043 Nathaniel Lowe CIN CIN @ NYY Runs 1.5 3.2 D 9.2 -5 Pending
1044 Nathaniel Lowe CIN CIN @ NYY Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1045 Nick Gonzales PIT PIT @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1046 Nico Hoerner CHC TOR @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1047 Nolan Arenado AZ MIN @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1048 Ozzie Albies ATL MIL @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1049 Patrick Bailey CLE CLE @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1050 Richie Palacios TB WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1026–1050 of 1265 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.