📡 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
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 Fri 10/2
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 56/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1376 Osleivis Basabe SF COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1377 Ozzie Albies ATL ARI @ ATL Runs 1.5 1.9 D 9.2 -5 Pending
1378 Ozzie Albies ATL ARI @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1379 Rafael Devers SF COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1380 Rafael Devers SF COL @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1381 Ryan McMahon NYY NYY @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1382 Salvador Perez KC KC @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1383 Sam Antonacci CWS CWS @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1384 Sean Murphy ATL ARI @ ATL Runs 1.5 1.9 D 9.2 -5 Pending
1385 Spencer Horwitz PIT BOS @ PIT Runs 1.5 1.9 D 9.2 -5 Pending
1386 Spencer Jones NYY NYY @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1387 Spencer Torkelson DET CWS @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1388 Taylor Trammell HOU SEA @ HOU Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1389 Tim Tawa AZ ARI @ ATL Runs 1.5 1.9 D 9.2 -5 Pending
1390 Tim Tawa AZ ARI @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1391 TJ Rumfield COL COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1392 Tommy Edman LAD MIL @ LAD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1393 Tommy White OAK TEX @ OAK Runs 1.5 1.9 D 9.2 -5 Pending
1394 Tommy White OAK TEX @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1395 Trea Turner PHI PHI @ MIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1396 Ty France SD SD @ CLE Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1397 Vaughn Grissom LAA KC @ LAA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1398 Victor Robles SEA SEA @ HOU Runs 1.5 1.9 D 9.2 -5 Pending
1399 William Contreras MIL MIL @ LAD Runs 1.5 1.9 D 9.2 -5 Pending
1400 Willy Adames SF COL @ SF Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1376–1400 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.