📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Oct 17 – Nov 15
Wins
67
Losses
94
Win %
41.6%
Pending
6
Sun 11/15 Sat 11/14 Fri 11/13 Thu 11/12 Wed 11/11 Tue 11/10 Mon 11/9 Sun 11/8 Sat 11/7 Fri 11/6 Thu 11/5 Wed 11/4 Mon 11/2 Sun 11/1
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Assists 5.5 OVER
68.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
27.3
Fit
5
2
Points 14.5 OVER
66.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Usage boost opportunity
Raw
78
Clean
16.2
Fit
4
3
Rebounds 3.5 OVER
63.8 B-
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
46
Clean
25.2
Fit
5
4
Rebounds 9.5 OVER
63.1 B-
  • Heavy minutes projection
  • Usage boost opportunity
Raw
62
Clean
15.9
Fit
5

📋 Full Board (383 picks · Page 8/16)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
176 Tyrese Maxey PHI MIA @ IND 3-Pointers Made 2.5 0 D -6.2 -6 Pending
177 Jalen Green PHX PHX @ LAL 3-Pointers Made 1.5 0 D -8.1 -6 Pending
178 Jayson Tatum BOS SF @ DAL 3-Pointers Made 2.5 0 D -8.9 -6 Pending
179 Andre Drummond NYK NYK @ TOR Points 3.5 0 D -12.2 -5 Pending
180 Shai Gilgeous-Alexander OKC OKC @ SAC 3-Pointers Made 2.5 0 D -8.5 -6 Pending
181 Dyson Daniels ATL ATL @ MIL Points 9.5 0 D -11.8 -5 Pending
182 Jared McCain OKC OKC @ SAC Assists 2.5 0 D -12.9 -5 Pending
183 Payton Pritchard BOS SF @ DAL 3-Pointers Made 2.5 0 D -8.4 -6 Pending
184 Obi Toppin IND IND @ PHI 3-Pointers Made 1.5 0 D -11.8 -6 Pending
185 Luguentz Dort ATL ATL @ MIL 3-Pointers Made 1.5 0 D -8.8 -6 Pending
186 Nickeil Alexander-Walker ATL ATL @ MIL 3-Pointers Made 3.5 0 D -9.5 -6 Pending
187 Josh Okogie UTA UTA @ SAS Rebounds 3.5 0 D -11.8 -5 Pending
188 Kenrich Williams OKC OKC @ SAC Rebounds 5.5 0 D -12 -5 Pending
189 Collin Sexton — 3-Pointers Made 1.5 0 D 1.3 -6 Pending
190 Aaron Wiggins ATL ATL @ MIL 3-Pointers Made 1.5 0 D -20 -6 Pending
191 Kenrich Williams OKC OKC @ SAC 3-Pointers Made 1.5 0 D -20 -6 Pending
192 Naz Reid CHA CHA @ LAC 3-Pointers Made 2.5 0 D -9.6 -6 Pending
193 Jalen Brunson NYK NYK @ TOR 3-Pointers Made 2.5 0 D -8.1 -6 Pending
194 Jared McCain OKC OKC @ SAC Points 15.5 0 D -10 -5 Pending
195 Darius Garland LAC CHA @ LAC Rebounds 2.5 0 D -3.9 -5 Pending
196 Stephon Castle SAS UTA @ SAS 3-Pointers Made 1.5 0 D -9 -6 Pending
197 Dean Wade PHI MIA @ IND 3-Pointers Made 1.5 0 D -11.8 -6 Pending
198 Tre Johnson WSH HOU @ CLE 3-Pointers Made 1.5 0 D -20 -6 Pending
199 Dean Wade PHI MIA @ IND Assists 1.5 0 D -2.7 -5 Pending
200 Isaiah Hartenstein OKC OKC @ SAC Points 10.5 0 D -11.9 -5 Pending
Showing 176–200 of 383 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.