📡 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 |
← Jul 10 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/11 Sat 10/10
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Paige Bueckers
DAL @ TORONT WNBA
Points 21.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.6
Fit
4
2
Marina Mabrey
DAL @ TORONT WNBA
Points 21.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
21
Fit
4
3
Paige Bueckers
DAL @ TORONT WNBA
Assists 6.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5
4
Marina Mabrey
DAL @ TORONT WNBA
Rebounds 4.5 OVER
62.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
23
Fit
5

📋 Full Board (1471 picks · Page 53/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1301 James Outman DET PHI @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1302 James Outman DET PHI @ DET Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1303 Jared Triolo PIT MIL @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1304 Jared Triolo PIT MIL @ PIT Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1305 Jasson Domínguez NYY NYY @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1306 Jasson Domínguez NYY NYY @ WSH Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1307 Javier Sanoja MIA CLE @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1308 Javier Sanoja MIA CLE @ MIA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1309 Jazz Chisholm Jr. NYY NYY @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1310 Jeff McNeil OAK OAK @ ATHLETICS@ Runs 0.5 3.2 D 9.2 -5 Pending
1311 Joc Pederson TEX HOU @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1312 Joc Pederson TEX HOU @ TEX Runs 0.5 3.2 D 9.2 -5 Pending
1313 Joc Pederson TEX HOU @ TEX Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1314 Jonathan Aranda TB SEA @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1315 Jonathan Aranda TB SEA @ TB Runs 0.5 3.2 D 9.2 -5 Pending
1316 Jorge Soler LAA LAA @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1317 Josh Naylor SEA SEA @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1318 Jung Hoo Lee SF COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1319 Jung Hoo Lee SF COL @ SF Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1320 Justin Crawford PHI PHI @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1321 Kahlil Watson CLE CLE @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1322 Kahlil Watson CLE CLE @ MIA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1323 Keibert Ruiz WSH NYY @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1324 Kerry Carpenter DET PHI @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1325 Kerry Carpenter DET PHI @ DET Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1301–1325 of 1471 picks
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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.