📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Jul 23 – Jul 29 →
Wins
21
Losses
15
Push
5
Win %
58.3%
Pending
0
Sat 10/17 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ DAL WNBA
Points 14.5 OVER
73 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23.1
Fit
4
2
ATL @ DAL WNBA
Assists 8.5 OVER
70.7 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.4
Fit
5
3
GSV @ PHX WNBA
Rebounds 7.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
28.2
Fit
5
4
ATL @ DAL WNBA
Points 11.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28.1
Fit
4

📋 Full Board (1449 picks · Page 57/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1401 Pedro Pages STL CHC @ STL Runs 1.5 1.6 D 9.2 -5 Pending
1402 Pedro Pages STL CHC @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1403 Pedro Pages STL CHC @ STL Total Bases 1.5 1.6 D 9.2 -5 Pending
1404 Petey Halpin CLE CLE @ CIN Hits 1.5 1.6 D 9.2 -5 Pending
1405 Petey Halpin CLE CLE @ CIN Runs 1.5 1.6 D 9.2 -5 Pending
1406 Petey Halpin CLE CLE @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1407 Petey Halpin CLE CLE @ CIN Total Bases 1.5 1.6 D 9.2 -5 Pending
1408 Ryan McMahon NYY NYY @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1409 Sam Antonacci CWS NYY @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1410 Spencer Jones NYY NYY @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1411 Steven Kwan CLE CLE @ CIN Runs 1.5 1.6 D 9.2 -5 Pending
1412 Steven Kwan CLE CLE @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1413 Taylor Walls TB TEX @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1414 Tommy White OAK BOS @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1415 Travis Bazzana CLE CLE @ CIN Runs 1.5 1.6 D 9.2 -5 Pending
1416 Travis Bazzana CLE CLE @ CIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1417 Trent Grisham NYY NYY @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1418 Tristan Peters CWS NYY @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1419 Tristan Peters CWS NYY @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1420 Vinnie Pasquantino KC KC @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1421 Weston Wilson SEA SEA @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
1422 William Contreras MIL MIL @ SF Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1423 Willson Contreras BOS BOS @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1424 Willy Adames SF MIL @ SF Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1425 Xavier Edwards MIA PHI @ MIA Runs 1.5 1.6 D 9.2 -5 Pending
Showing 1401–1425 of 1449 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.