📡 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 23 – May 6 →
Wins
41
Losses
50
Push
5
Win %
45.1%
Pending
0
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 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
87
Clean
22.6
Fit
0
2
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
3
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
4
Total Bases 1.5 OVER
58.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
77
Clean
20.4
Fit
0

📋 Full Board (1393 picks · Page 12/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
276 Jonathan Aranda TB TOR @ TB Runs Batted In 0.5 33.3 D 17.6 0 Pending
277 Jorge Soler LAA LAA @ CWS Runs Batted In 0.5 33.3 D 17.6 0 Pending
278 Kody Clemens MIN MIN @ WSH Hits 0.5 33.3 D 17.6 0 Pending
279 Luke Keaschall MIN MIN @ WSH Hits 0.5 33.3 D 17.6 0 Pending
280 Luke Keaschall MIN MIN @ WSH Runs 0.5 33.3 D 17.6 0 Pending
281 Nick Loftin KC CLE @ KC Hits 0.5 33.3 D 17.6 0 Pending
282 Nick Loftin KC CLE @ KC Runs 0.5 33.3 D 17.6 0 Pending
283 Ryan Jeffers MIN MIN @ WSH Runs 0.5 33.3 D 17.6 0 Pending
284 Ryan McMahon NYY NYY @ TEX Runs 0.5 33.3 D 17.6 0 Pending
285 Salvador Perez KC CLE @ KC Runs 0.5 33.3 D 17.6 0 Pending
286 Travis Bazzana CLE CLE @ KC Hits 0.5 33.3 D 17.6 0 Pending
287 Travis Bazzana CLE CLE @ KC Runs 0.5 33.3 D 17.6 0 Pending
288 Vinnie Pasquantino KC CLE @ KC Runs 0.5 33.3 D 17.6 0 Pending
289 Samuel Basallo BAL BAL @ MIA Total Bases 1.5 33.2 D 17.2 0 Pending
290 Munetaka Murakami CWS CWS @ LAA Total Bases 1.5 32.9 D 17.2 0 Pending
291 Jorge Soler LAA LAA @ CWS Total Bases 1.5 32.8 D 18.2 0 Pending
292 Marcell Ozuna PIT PIT @ ARI Total Bases 1.5 32.8 D 18.2 0 Pending
293 Brayan Rocchio CLE CLE @ KC Hits 0.5 32.8 D 17.2 0 Pending
294 Jo Adell LAA LAA @ CWS Hits 0.5 32.8 D 17.2 0 Pending
295 Spencer Horwitz PIT PIT @ ARI Runs Batted In 0.5 32.8 D 17.2 0 Pending
296 Francisco Alvarez NYM COL @ NYM Total Bases 1.5 32.6 D 11.5 -5 Pending
297 Jasson Domínguez NYY NYY @ TEX Total Bases 1.5 32.5 D 17.2 0 Pending
298 Munetaka Murakami CWS CWS @ LAA Runs Batted In 0.5 32.2 D 17.2 0 Pending
299 Freddie Freeman LAD HOU @ LAD Hits 1.5 32.1 D 13.4 -5 Pending
300 Brice Matthews HOU HOU @ LAD Runs Batted In 0.5 31.9 D 17.2 0 Pending
Showing 276–300 of 1393 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.