📡 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 |
← Aug 2 – Aug 15 →
Wins
6
Losses
6
Push
72
Win %
50%
Pending
0
Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ WSH WNBA
Points 7.5 OVER
69 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
22.8
Fit
4
2
LA @ WSH WNBA
Assists 2.5 OVER
65.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.3
Fit
5
3
LA @ WSH WNBA
Rebounds 2.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
22.5
Fit
5
4
NY @ CON WNBA
Points 18.5 OVER
64.5 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.8
Fit
4

📋 Full Board (1529 picks · Page 53/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1301 Connor Norby COL COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1302 Corey Julks DET CWS @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1303 Corey Seager TEX TEX @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1304 Dane Myers CIN MIA @ CIN Hits 1.5 1.9 D 9.2 -5 Pending
1305 Dane Myers CIN MIA @ CIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1306 Dane Myers CIN MIA @ CIN Total Bases 1.5 1.9 D 9.2 -5 Pending
1307 David Hamilton MIL MIL @ LAD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1308 Daylen Lile WSH WSH @ NYM Runs 1.5 1.9 D 9.2 -5 Pending
1309 Dillon Dingler DET CWS @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1310 Dillon Dingler DET CWS @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1311 Drew Cavanaugh SF COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1312 Drew Cavanaugh SF COL @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1313 Elias Diaz TEX TEX @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1314 Enmanuel Valdez PIT BOS @ PIT Hits 1.5 1.9 D 9.2 -5 Pending
1315 Enmanuel Valdez PIT BOS @ PIT Runs 1.5 1.9 D 9.2 -5 Pending
1316 Enmanuel Valdez PIT BOS @ PIT Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1317 Enmanuel Valdez PIT BOS @ PIT Total Bases 1.5 1.9 D 9.2 -5 Pending
1318 Ernie Clement TOR NYY @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1319 Evan Carter TEX TEX @ OAK Runs 1.5 1.9 D 9.2 -5 Pending
1320 Gleyber Torres DET CWS @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1321 Hao-Yu Lee DET CWS @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1322 Hector Rodriguez CIN MIA @ CIN Hits 1.5 1.9 D 9.2 -5 Pending
1323 Hector Rodriguez CIN MIA @ CIN Total Bases 1.5 1.9 D 9.2 -5 Pending
1324 Henry Davis PIT BOS @ PIT Runs 1.5 1.9 D 9.2 -5 Pending
1325 Hunter Feduccia LAD MIL @ LAD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
Showing 1301–1325 of 1529 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.