📡 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 |
← Aug 27 – Sep 25 →
Wins
32
Losses
50
Push
5
Win %
39%
Pending
0
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 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Strikeouts 5.5 OVER
53.3 C
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
22.2
Fit
0
2
Strikeouts 4.5 OVER
51.1 C
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
22.1
Fit
0
3
Hits 0.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.9
Fit
0
4
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0

📋 Full Board (1421 picks · Page 45/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Ozzie Albies ATL ATL @ MIA Total Bases 1.5 5.1 D 10.3 -5 Pending
1102 Andrew Knizner SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1103 Andrew Knizner SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1104 Brett Harris SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1105 Brett Harris SF LAD @ SF Runs 0.5 4.9 D 9.2 -5 Pending
1106 Christian Koss SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1107 Christian Koss SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1108 Jonah Cox SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1109 Marcelo Mayer SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1110 Osleivis Basabe SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1111 Scott Bandura SF LAD @ SF Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1112 Shay Whitcomb SF LAD @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1113 Shay Whitcomb SF LAD @ SF Runs 0.5 4.9 D 9.2 -5 Pending
1114 Abimelec Ortiz WSH NYM @ WSH Total Bases 1.5 4.8 D 9.2 -5 Pending
1115 Charles McAdoo TOR CIN @ TOR Total Bases 1.5 4.8 D 9.2 -5 Pending
1116 Evan Carter TEX TEX @ MIN Total Bases 1.5 4.8 D 9.2 -5 Pending
1117 George Springer TOR CIN @ TOR Total Bases 1.5 4.8 D 9.2 -5 Pending
1118 Kyle Isbel KC CLE @ KC Total Bases 1.5 4.8 D 9.2 -5 Pending
1119 Luis Arraez PHI TB @ PHI Total Bases 1.5 4.8 D 9.2 -5 Pending
1120 Miguel Amaya CHC CHC @ BOS Total Bases 1.5 4.8 D 9.2 -5 Pending
1121 Nick Fortes TB TB @ PHI Total Bases 1.5 4.8 D 9.2 -5 Pending
1122 Nicky Lopez TEX TEX @ MIN Total Bases 1.5 4.8 D 9.2 -5 Pending
1123 Taylor Walls TB TB @ PHI Total Bases 1.5 4.8 D 9.2 -5 Pending
1124 Wilyer Abreu BOS CHC @ BOS Total Bases 1.5 4.8 D 9.2 -5 Pending
1125 Xavier Edwards MIA ATL @ MIA Total Bases 1.5 4.8 D 9.2 -5 Pending
Showing 1101–1125 of 1421 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.