📡 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 14 – Sep 27 →
Wins
29
Losses
39
Push
2
Win %
42.6%
Pending
2
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
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0
2
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0
3
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.2
Fit
0
4
Hits 0.5 OVER
46.6 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.7
Fit
0

📋 Full Board (858 picks · Page 12/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Ben Rice NYY BAL @ NYY Hits 1.5 7.7 D 9.2 -5 Pending
277 Dominic Canzone SEA LAA @ SEA Runs Batted In 1.5 7.7 D 9.2 -5 Pending
278 Evan Carter TEX TEX @ MIN Hits 1.5 7.7 D 9.2 -5 Pending
279 Maikel Garcia KC CLE @ KC Hits 1.5 7.7 D 9.2 -5 Pending
280 Michael Arroyo SEA LAA @ SEA Hits 1.5 7.7 D 9.2 -5 Pending
281 Mike Trout LAA LAA @ SEA Hits 1.5 7.7 D 9.2 -5 Pending
282 Spencer Torkelson DET PIT @ DET Runs Batted In 1.5 7.7 D 9.2 -5 Pending
283 Bryce Harper PHI TB @ PHI Hits 1.5 7.7 D 9.6 -5 Pending
284 Shohei Ohtani LAD LAD @ SF Hits 1.5 7.7 D 9.6 -5 Pending
285 Andy Pages LAD LAD @ SF Home Runs 0.5 7.5 D 9.2 -5 Pending
286 Andy Pages LAD LAD @ SF Runs Batted In 0.5 7.5 D 9.2 -5 Pending
287 Bo Davidson SF LAD @ SF Runs Batted In 0.5 7.5 D 9.2 -5 Pending
288 Brandon Marsh PHI TB @ PHI Home Runs 0.5 7.5 D 9.2 -5 Pending
289 Bryan De La Cruz PHI TB @ PHI Hits 0.5 7.5 D 9.2 -5 Pending
290 Edmundo Sosa PHI TB @ PHI Home Runs 0.5 7.5 D 9.2 -5 Pending
291 Hunter Feduccia LAD LAD @ SF Hits 0.5 7.5 D 9.2 -5 Pending
292 Hunter Feduccia LAD LAD @ SF Runs Batted In 0.5 7.5 D 9.2 -5 Pending
293 Isiah Kiner-Falefa BOS CHC @ BOS Hits 0.5 7.5 D 9.2 -5 Pending
294 Ivan Herrera STL STL @ MIL Home Runs 0.5 7.5 D 9.2 -5 Pending
295 Jonah Cox SF LAD @ SF Runs Batted In 0.5 7.5 D 9.2 -5 Pending
296 Jordan Walker STL STL @ MIL Home Runs 0.5 7.5 D 9.2 -5 Pending
297 Max Muncy LAD LAD @ SF Runs Batted In 0.5 7.5 D 9.2 -5 Pending
298 Mookie Betts LAD LAD @ SF Home Runs 0.5 7.5 D 9.2 -5 Pending
299 Nolan Gorman STL STL @ MIL Runs Batted In 0.5 7.5 D 9.2 -5 Pending
300 Roman Anthony BOS CHC @ BOS Runs Batted In 0.5 7.5 D 9.2 -5 Pending
Showing 276–300 of 858 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.