📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Aug 2 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
CON @ DAL WNBA
Points 15.5 OVER
79.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
81
Clean
28.8
Fit
4
2
CON @ DAL WNBA
Rebounds 2.5 OVER
66.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
26.9
Fit
5
3
LA @ POR WNBA
Assists 2.5 OVER
66 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.5
Fit
5
4
CON @ DAL WNBA
Assists 3.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
26.5
Fit
5

📋 Full Board (117 picks · Page 3/5)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
140 Nneka Ogwumike LA @ POR Points 17.5 34.7 D 11 4 Pending
141 Nneka Ogwumike LA @ POR Assists 3.5 34.7 D 8.3 5 Pending
152 Julie Allemand TORONTO TEMPO @ GSV Points 7.5 33.8 D 8.5 4 Pending
154 Caitlin Clark IND @ MIN Rebounds 4.5 33.6 D 8.4 5 Pending
181 Veronica Burton TORONTO TEMPO @ GSV 3-Pointers Made 1.5 32.5 D 12.4 0 Pending
182 Kayla McBride IND @ MIN Assists 2.5 32.3 D 7.9 5 Pending
185 Rae Burrell LA @ POR 3-Pointers Made 1.5 32.2 D 11.8 0 Pending
186 Leïla Lacan CON @ DAL Points 12.5 31.7 D 9.3 4 Pending
187 Azzi Fudd CON @ DAL 3-Pointers Made 2.5 31.6 D 10 0 Pending
205 Kelsey Mitchell IND @ MIN 3-Pointers Made 2.5 30.1 D 3.8 0 Pending
206 Kayla McBride IND @ MIN 3-Pointers Made 2.5 29.9 D 3.5 0 Pending
210 Paige Bueckers CON @ DAL 3-Pointers Made 1.5 24.8 D 2.8 0 Pending
212 Erica Wheeler LA @ POR 3-Pointers Made 1.5 23.5 D 9.6 0 Pending
216 Caitlin Clark IND @ MIN 3-Pointers Made 2.5 20.9 D 2.1 0 Pending
222 Charlisse Leger-Walker CON @ DAL Assists 4.5 19.5 D 12.6 -5 Pending
224 Marina Mabrey TORONTO TEMPO @ GSV 3-Pointers Made 2.5 18.5 D 1.6 0 Pending
225 Megan DiLeo LA @ POR Points 14.5 18.2 D 11.7 -5 Pending
227 Natasha Howard IND @ MIN Assists 2.5 17.8 D 11.4 -5 Pending
238 Napheesa Collier IND @ MIN 3-Pointers Made 1.5 16.6 D 1.1 0 Pending
247 Isabelle Harrison TORONTO TEMPO @ GSV Points 11.5 16.1 D 11 -5 Pending
254 Isabelle Harrison TORONTO TEMPO @ GSV Rebounds 6.5 15.5 D 11.5 -5 Pending
255 Natasha Howard IND @ MIN Rebounds 6.5 15.3 D 12.1 -5 Pending
258 Olivia Nelson-Ododa CON @ DAL Points 12.5 15.1 D 12.6 -5 Pending
266 Sophie Cunningham IND @ MIN Points 9.5 14.9 D 11.7 -5 Pending
339 Olivia Nelson-Ododa CON @ DAL Rebounds 7.5 11.7 D 11.1 -5 Pending
Showing 51–75 of 117 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.