📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Apr 13 – Apr 19 →
Wins
0
Losses
0
Win %
0%
Pending
0
Wed 11/4 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 23.5 OVER
83.7 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
92
Clean
27.4
Fit
4
2
Assists 6.5 OVER
72.9 B
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
66
Clean
26.6
Fit
5
3
L
Rebounds 5.5 OVER
68.1 B-
  • Heavy minutes projection
Raw
64
Clean
19.9
Fit
5
4
Points 12.5 OVER
66.6 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
62
Clean
24.8
Fit
4

📋 Full Board (1547 picks · Page 51/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1251 Owen Caissie MIA MIL @ MIA Home Runs 0.5 4.9 D 9.2 -5 Pending
1252 Owen Caissie MIA MIL @ MIA Runs 0.5 4.9 D 9.2 -5 Pending
1253 Paul Goldschmidt NYY KC @ NYY Home Runs 0.5 4.9 D 9.2 -5 Pending
1254 Paul Goldschmidt NYY KC @ NYY Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1255 Rafael Marchan PHI ATL @ PHI Hits 0.5 4.9 D 9.2 -5 Pending
1256 Rafael Marchan PHI ATL @ PHI Home Runs 0.5 4.9 D 9.2 -5 Pending
1257 Rafael Marchan PHI ATL @ PHI Runs 0.5 4.9 D 9.2 -5 Pending
1258 Rafael Marchan PHI ATL @ PHI Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1259 Randy Arozarena SEA TEX @ SEA Home Runs 0.5 4.9 D 9.2 -5 Pending
1260 Randy Arozarena SEA TEX @ SEA Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1261 Riley Greene DET DET @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
1262 Rob Refsnyder SEA TEX @ SEA Hits 0.5 4.9 D 9.2 -5 Pending
1263 Rob Refsnyder SEA TEX @ SEA Home Runs 0.5 4.9 D 9.2 -5 Pending
1264 Rob Refsnyder SEA TEX @ SEA Runs 0.5 4.9 D 9.2 -5 Pending
1265 Rob Refsnyder SEA TEX @ SEA Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1266 Roman Anthony BOS DET @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
1267 Roman Anthony BOS DET @ BOS Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1268 Sam Antonacci CWS CWS @ OAK Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1269 Spencer Torkelson DET DET @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
1270 Spencer Torkelson DET DET @ BOS Runs 0.5 4.9 D 9.2 -5 Pending
1271 Steven Kwan CLE BAL @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
1272 Taylor Trammell HOU STL @ HOU Home Runs 0.5 4.9 D 9.2 -5 Pending
1273 Vladimir Guerrero Jr. TOR TOR @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1274 Wilyer Abreu BOS DET @ BOS Home Runs 0.5 4.9 D 9.2 -5 Pending
1275 Xavier Edwards MIA MIL @ MIA Home Runs 0.5 4.9 D 9.2 -5 Pending
Showing 1251–1275 of 1547 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.