📡 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 11 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Thu 10/22 Wed 10/21 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ MIN WNBA
Points 15.5 OVER
78.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
29
Fit
4
2
PHX @ LV WNBA
Points 20.5 OVER
73.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
23.7
Fit
4
3
PHX @ LV WNBA
Points 17.5 OVER
69.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
PHX @ LV WNBA
Rebounds 6.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.7
Fit
5

📋 Full Board (1465 picks · Page 34/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Chase Meidroth CWS CWS @ ATHLETICS@ Total Bases 1.5 8.3 D 10.3 -5 Pending
827 Denzer Guzman LAA LAA @ MIN Total Bases 1.5 8.3 D 10.3 -5 Pending
828 Shohei Ohtani LAD ARI @ LAD Hits 1.5 8.3 D 10.3 -5 Pending
829 Jake Cronenworth SD TOR @ SD Runs Batted In 0.5 8.1 D 9.2 -5 Pending
830 Miguel Andujar SD TOR @ SD Hits 0.5 8.1 D 9.2 -5 Pending
831 Ezequiel Tovar COL COL @ SF Total Bases 1.5 8 D 9.2 -5 Pending
832 Joey Bart ATL ATL @ STL Total Bases 1.5 8 D 9.2 -5 Pending
833 Zach McKinstry DET PHI @ DET Total Bases 1.5 8 D 9.2 -5 Pending
834 Henry Bolte OAK OAK @ ATHLETICS@ Runs 0.5 7.8 D 9.2 -5 Pending
835 Jonah Heim OAK OAK @ ATHLETICS@ Total Bases 1.5 7.8 D 9.2 -5 Pending
836 Miguel Andujar SD TOR @ SD Runs Batted In 0.5 7.8 D 9.2 -5 Pending
837 Alex Bregman CHC CHC @ CIN Total Bases 1.5 7.7 D 9.2 -5 Pending
838 JJ Wetherholt STL ATL @ STL Total Bases 1.5 7.7 D 9.2 -5 Pending
839 Miguel Amaya CHC CHC @ CIN Total Bases 1.5 7.7 D 9.2 -5 Pending
840 Jeff McNeil OAK OAK @ ATHLETICS@ Total Bases 1.5 7.7 D 9.6 -5 Pending
841 Alika Williams OAK OAK @ ATHLETICS@ Runs Batted In 0.5 7.5 D 9.2 -5 Pending
842 Colby Thomas OAK OAK @ ATHLETICS@ Hits 0.5 7.5 D 9.2 -5 Pending
843 Colby Thomas OAK OAK @ ATHLETICS@ Runs 0.5 7.5 D 9.2 -5 Pending
844 Colby Thomas OAK OAK @ ATHLETICS@ Runs Batted In 0.5 7.5 D 9.2 -5 Pending
845 Fernando Tatis Jr. SD TOR @ SD Runs Batted In 0.5 7.5 D 9.2 -5 Pending
846 Gavin Sheets SD TOR @ SD Hits 0.5 7.5 D 9.2 -5 Pending
847 Gavin Sheets SD TOR @ SD Runs 0.5 7.5 D 9.2 -5 Pending
848 Henry Bolte OAK OAK @ ATHLETICS@ Hits 0.5 7.5 D 9.2 -5 Pending
849 Henry Bolte OAK OAK @ ATHLETICS@ Home Runs 0.5 7.5 D 9.2 -5 Pending
850 Jacob Wilson OAK OAK @ ATHLETICS@ Runs 0.5 7.5 D 9.2 -5 Pending
Showing 826–850 of 1465 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.