📡 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 8 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
Mon 10/12 Sun 10/11 Sat 10/10 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
3
Runs Batted In 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
23.2
Fit
0
4
Hits 0.5 OVER
61.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
23.2
Fit
0

📋 Full Board (1314 picks · Page 13/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
301 Colson Montgomery CWS CWS @ PIT Runs Batted In 0.5 30.6 D 17.2 0 Pending
302 Kyle Teel CWS CWS @ PIT Runs Batted In 0.5 30.6 D 17.2 0 Pending
303 Adley Rutschman BOS BOS @ LAA Runs Batted In 0.5 30.5 D 17.2 0 Pending
304 Jackson Merrill SD SD @ WSH Hits 0.5 30.5 D 17.2 0 Pending
305 Jonathan Aranda ATL ATL @ TB Total Bases 1.5 30.5 D 17.2 0 Pending
306 Luis Campusano SD SD @ WSH Total Bases 1.5 30.5 D 17.2 0 Pending
307 Sean Murphy ATL ATL @ TB Runs Batted In 0.5 30.5 D 17.2 0 Pending
308 Vladimir Guerrero Jr. OAK OAK @ TOR Total Bases 1.5 30.5 D 17.2 0 Pending
309 Chase Meidroth CWS CWS @ PIT Hits 0.5 30.5 D 17.2 0 Pending
310 Alika Williams OAK OAK @ TOR Runs Batted In 0.5 30.4 D 17.2 0 Pending
311 Reid Detmers BOS BOS @ LAA Strikeouts 5.5 30.3 D 12.4 -5 Pending
312 Adley Rutschman BOS BOS @ LAA Runs 0.5 30.2 D 17.2 0 Pending
313 Brady House SD SD @ WSH Runs Batted In 0.5 30.2 D 17.2 0 Pending
314 Jacob Young SD SD @ WSH Hits 0.5 30.2 D 17.2 0 Pending
315 Luis Campusano SD SD @ WSH Hits 0.5 30.2 D 17.2 0 Pending
316 Mauricio Dubon ATL ATL @ TB Hits 0.5 30.2 D 17.2 0 Pending
317 Nathaniel Lowe BAL BAL @ CLE Runs Batted In 0.5 30.2 D 17.2 0 Pending
318 Travis Bazzana BAL BAL @ CLE Hits 0.5 30.2 D 17.2 0 Pending
319 Travis Bazzana BAL BAL @ CLE Runs Batted In 0.5 30.2 D 17.2 0 Pending
320 Ty France SD SD @ WSH Hits 0.5 30.2 D 17.2 0 Pending
321 Hayden Wesneski PHI PHI @ HOU Strikeouts 4.5 30.1 D 14.1 -5 Pending
322 Cody Bellinger NYY NYY @ COL Total Bases 1.5 30 D 11.3 -5 Pending
323 Nick Lodolo LAD LAD @ CIN Strikeouts 4.5 28.7 D 12.9 -5 Pending
324 Dean Kremer DET DET @ MIN Strikeouts 4.5 27.9 D 13.7 -5 Pending
325 Andrew Vaughn MIL MIL @ CHC Runs Batted In 0.5 27.3 D 10.3 -5 Pending
Showing 301–325 of 1314 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.