📡 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 29 →
Wins
5
Losses
11
Push
4
Win %
31.3%
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
Rebounds 5.5 OVER
68.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
27.1
Fit
5
2
Rebounds 8.5 OVER
64.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
26.6
Fit
5
3
Points 22.5 OVER
64.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
27.6
Fit
4
4
Assists 5.5 OVER
63.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
26.5
Fit
5

📋 Full Board (1502 picks · Page 52/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1276 Jakob Marsee MIA MIA @ LAD Runs 1.5 3.9 D 9.2 -5 Pending
1277 Justin Crawford PHI PHI @ SF Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1278 Kyle Manzardo CLE CLE @ TB Hits 1.5 3.9 D 9.2 -5 Pending
1279 Kyle Schwarber PHI PHI @ SF Hits 1.5 3.9 D 9.2 -5 Pending
1280 Owen Caissie MIA MIA @ LAD Hits 1.5 3.9 D 9.2 -5 Pending
1281 Xavier Edwards MIA MIA @ LAD Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1282 Tyler Freeman COL CIN @ COL Runs 1.5 3.8 D 9.2 -5 Pending
1283 Willi Castro COL CIN @ COL Runs 1.5 3.8 D 9.2 -5 Pending
1284 Alex Freeland LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1285 Andy Pages LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1286 Dalton Rushing LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1287 Freddie Freeman LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1288 Hyeseong Kim LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1289 Kyle Tucker LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1290 Teoscar Hernandez LAD MIA @ LAD Home Runs 0.5 3.8 D 9.2 -5 Pending
1291 Tari Eason HOU HOU @ LAL Assists 2.5 3.7 D 1.5 -5 Pending
1292 Ja'Kobe Walter TOR TOR @ CLE Rebounds 3.5 3.7 D 7.5 -5 Pending
1293 Agustín Ramírez MIA MIA @ LAD Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1294 Alec Bohm PHI PHI @ SF Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1295 Bo Naylor CLE CLE @ TB Hits 1.5 3.6 D 9.2 -5 Pending
1296 Bo Naylor CLE CLE @ TB Total Bases 1.5 3.6 D 9.2 -5 Pending
1297 Bryson Stott PHI PHI @ SF Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1298 Chase DeLauter CLE CLE @ TB Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1299 Chase Meidroth CWS LAA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1300 Derek Hill CWS LAA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
Showing 1276–1300 of 1502 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.