📡 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 22 – Jul 28 →
Wins
23
Losses
13
Push
5
Win %
63.9%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Kayla McBride
TORONTO TEMPO @ MIN WNBA
Points 18.5 OVER
72.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.9
Fit
4
2
Awa Fam
IND @ SEA WNBA
Rebounds 6.5 OVER
70.6 B
  • Heavy minutes projection
  • Stable player role
Raw
64
Clean
23
Fit
5
3
Sabrina Ionescu
NY @ LA WNBA
Points 19.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28
Fit
4
4
Shakira Austin
CON @ WSH WNBA
Points 15.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.6
Fit
4

📋 Full Board (1571 picks · Page 9/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
201 Awa Fam IND @ SEA 3-Pointers Made 1.5 30.9 D 11.4 0 Pending
202 Anthony Seigler BOS BOS @ OAK Hits 0.5 30.5 D 17.2 0 Pending
203 Ceddanne Rafaela BOS BOS @ OAK Total Bases 1.5 30.5 D 17.2 0 Pending
204 Cooper Pratt MIL MIL @ SF Runs Batted In 0.5 30.5 D 17.2 0 Pending
205 Cooper Pratt MIL MIL @ SF Total Bases 1.5 30.5 D 17.2 0 Pending
206 Jake Bauers MIL MIL @ SF Runs 0.5 30.5 D 17.2 0 Pending
207 Jarren Duran BOS BOS @ OAK Hits 0.5 30.5 D 17.2 0 Pending
208 Kyle Stowers MIA PHI @ MIA Total Bases 1.5 30.5 D 17.2 0 Pending
209 Luis Lara MIL MIL @ SF Runs Batted In 0.5 30.5 D 17.2 0 Pending
210 Tommy Edman LAD SEA @ LAD Hits 0.5 30.5 D 17.2 0 Pending
211 Wyatt Langford TEX TEX @ TB Total Bases 1.5 30.5 D 17.2 0 Pending
212 Kelsey Mitchell IND @ SEA Assists 2.5 30.5 D 8.2 5 Pending
213 A.J. Ewing NYM ATL @ NYM Runs 0.5 30.2 D 17.2 0 Pending
214 Freddie Freeman LAD SEA @ LAD Runs 0.5 30.2 D 17.2 0 Pending
215 Isaac Paredes HOU HOU @ LAA Hits 0.5 30.2 D 17.2 0 Pending
216 Jahmai Jones BOS BOS @ OAK Runs Batted In 0.5 30.2 D 17.2 0 Pending
217 Jorge Soler LAA HOU @ LAA Runs Batted In 0.5 30.2 D 17.2 0 Pending
218 Logan O'Hoppe LAA HOU @ LAA Hits 0.5 30.2 D 17.2 0 Pending
219 Luis Lara MIL MIL @ SF Hits 0.5 30.2 D 17.2 0 Pending
220 Sam Antonacci CWS NYY @ CWS Hits 0.5 30.2 D 17.2 0 Pending
221 Francisco Lindor NYM ATL @ NYM Total Bases 1.5 29.3 D 17.2 0 Pending
222 Napheesa Collier TORONTO TEMPO @ MIN 3-Pointers Made 1.5 28.7 D 8.8 0 Pending
223 James Wood WSH TOR @ WSH Total Bases 1.5 28.7 D 17.2 0 Pending
224 Alex Bregman CHC CHC @ STL Total Bases 1.5 28.3 D 17.2 0 Pending
225 Anthony Seigler BOS BOS @ OAK Total Bases 1.5 28.3 D 17.2 0 Pending
Showing 201–225 of 1571 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.