📡 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 17 →
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.
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 Fri 10/9 Thu 10/8 Wed 10/7
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
49
Josh Naylor
SEA SF @ SEA MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
50
Randy Arozarena
AL SF @ SEA MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
54
Jonathan Aranda
TB TB @ BOS MLB
Total Bases 1.5 OVER
49.7 D
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
21.5
Fit
0
56
Brice Turang
MIL MIA @ MIL MLB
Runs Batted In 0.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.9
Fit
0

📋 Full Board (1313 picks · Page 48/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1284 Jung Hoo Lee SF SF @ SEA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1285 Kahlil Watson CLE PIT @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1286 Ke'Bryan Hayes CIN CIN @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1287 Ke'Bryan Hayes CIN CIN @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1288 Ketel Marte AZ STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1289 Ketel Marte AZ STL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1290 Kody Clemens MIN MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1291 Kyle Manzardo CLE PIT @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1292 Kyle Teel CWS CWS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1293 Kyle Tucker LAD LAD @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1294 Kyle Tucker LAD LAD @ NYY Runs 0.5 3.2 D 9.2 -5 Pending
1295 Lawrence Butler OAK WSH @ OAK Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1296 Liam Hicks MIA MIA @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1297 Logan O'Hoppe LAA DET @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1298 Logan O'Hoppe LAA DET @ LAA Runs 0.5 3.2 D 9.2 -5 Pending
1299 Logan O'Hoppe LAA DET @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1300 Lourdes Gurriel Jr. AZ STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1301 Lourdes Gurriel Jr. AZ STL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1302 Luis Arraez NL SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1303 Luis Urias TOR CWS @ TOR Runs 0.5 3.2 D 9.2 -5 Pending
1304 Luis Urias TOR CWS @ TOR Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1305 Luke Keaschall MIN MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1306 Luke Raley SEA SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1307 Luke Raley SEA SF @ SEA Runs 0.5 3.2 D 9.2 -5 Pending
1308 Marcelo Mayer BOS TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1176–1200 of 1313 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.