📡 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 |
← Jun 27 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Tue 10/13 Mon 10/12
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
52.1 C
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.3
Fit
0
2
Total Bases 1.5 OVER
49.7 D
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
20.3
Fit
0
3
Total Bases 1.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
21.4
Fit
0
4
Hits 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
22.1
Fit
0

📋 Full Board (1375 picks · Page 45/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Nathan Church STL MIA @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1102 Nick Gonzales PIT CIN @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1103 Nick Loftin KC KC @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1104 Nico Hoerner CHC CHC @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1105 Nolan Arenado AZ ARI @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1106 Patrick Bailey CLE SEA @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1107 Petey Halpin CLE SEA @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1108 Richie Palacios TB ARI @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1109 Riley Greene DET HOU @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1110 Ryan Ward LAD LAD @ SD Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1111 Sam Huff BAL WSH @ BAL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1112 Samad Taylor SD LAD @ SD Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1113 Seiya Suzuki CHC CHC @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1114 Steven Kwan CLE SEA @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1115 Taylor Walls TB ARI @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1116 Taylor Ward BAL WSH @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1117 Tristan Peters CWS KC @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1118 Tyler Callihan PIT CIN @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1119 Tyler O'Neill BAL WSH @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1120 Tyler Stephenson CIN CIN @ PIT Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1121 Wade Meckler LAA LAA @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1122 Will Wagner SD LAD @ SD Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1123 Willi Castro COL COL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1124 William Contreras MIL CHC @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1125 Xavier Edwards MIA MIA @ STL Runs 1.5 3.2 D 9.2 -5 Pending
Showing 1101–1125 of 1375 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.