📡 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 7 – May 6 →
Wins
56
Losses
74
Push
6
Win %
43.1%
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 55/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1351 Nick Loftin KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1352 Nolan Arenado AZ PIT @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1353 Nolan Arenado AZ PIT @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1354 Nolan Schanuel LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1355 Oneil Cruz PIT PIT @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1356 Oswald Peraza LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1357 Oswald Peraza LAA LAA @ CWS Runs 0.5 3.2 D 9.2 -5 Pending
1358 Patrick Bailey SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1359 Patrick Bailey SF SD @ SF Runs 0.5 3.2 D 9.2 -5 Pending
1360 Patrick Bailey SF SD @ SF Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1361 Pedro Pages STL MIL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1362 Pedro Pages STL MIL @ STL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1363 Rafael Devers SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1364 Royce Lewis MIN MIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1365 Ryan O'Hearn PIT PIT @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1366 Salvador Perez KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1367 Samuel Basallo BAL BAL @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1368 Starling Marte KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1369 Steven Kwan CLE CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1370 Taylor Walls TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1371 Taylor Ward BAL BAL @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1372 Travis Bazzana CLE CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1373 Travis d'Arnaud LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1374 Travis d'Arnaud LAA LAA @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1375 Trevor Larnach MIN MIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1351–1375 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.