📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Jul 28 – Aug 10 →
Wins
20
Losses
22
Push
42
Win %
47.6%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
TORONTO TEMPO @ ATL WNBA
Rebounds 3.5 OVER
64.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
22.9
Fit
5
2
CHI @ SEA WNBA
Points 14.5 OVER
62.3 C+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
21.7
Fit
4
3
CHI @ SEA WNBA
Rebounds 7.5 OVER
61.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
22
Fit
5
4
TORONTO TEMPO @ ATL WNBA
Assists 8.5 OVER
60.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
22.7
Fit
5

📋 Full Board (1009 picks · Page 40/41)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
976 Ozzie Albies ATL NYM @ ATL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
977 Ryan Kreidler MIN BAL @ MIN Runs 1.5 1.6 D 9.2 -5 Pending
978 Ryan Kreidler MIN BAL @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
979 Ryan Vilade TB TB @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
980 Ryan Vilade TB TB @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
981 Taylor Walls TB TB @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
982 Tommy Edman LAD KC @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
983 Tyler Tolbert KC KC @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
984 Vaughn Grissom LAA TEX @ LAA Runs 1.5 1.6 D 9.2 -5 Pending
985 Victor Caratini MIN BAL @ MIN Runs Batted In 1.5 1.6 D 9.2 -5 Pending
986 Wyatt Langford TEX TEX @ LAA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
987 Xander Bogaerts SD MIL @ SD Runs 1.5 1.6 D 9.2 -5 Pending
988 Xander Bogaerts SD MIL @ SD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
989 Yainer Diaz HOU HOU @ SF Runs 1.5 1.6 D 9.2 -5 Pending
990 Naz Hillmon TORONTO TEMPO @ ATL Points 8.5 1.1 D -0.5 -5 Pending
991 Gunnar Henderson BAL BAL @ MIN Total Bases 2.5 0.2 D 9.2 -5 Pending
992 Flau'jae Johnson CHI @ SEA 3-Pointers Made 1.5 0 D 1 -6 Pending
993 Angel Reese TORONTO TEMPO @ ATL Assists 2.5 0 D 1 -5 Pending
994 Brionna Jones TORONTO TEMPO @ ATL Points 10.5 0 D 0.7 -5 Pending
995 Jade Melbourne CHI @ SEA Assists 4.5 0 D 2.3 -5 Pending
996 Angel Reese TORONTO TEMPO @ ATL Points 16.5 0 D 0.1 -5 Pending
997 Naz Hillmon TORONTO TEMPO @ ATL 3-Pointers Made 1.5 0 D -9.1 -6 Pending
998 Ezi Magbegor CHI @ SEA Rebounds 4.5 0 D -11.3 -5 Pending
999 Angel Reese TORONTO TEMPO @ ATL Rebounds 12.5 0 D 1.2 -5 Pending
1000 Nyara Sabally TORONTO TEMPO @ ATL 3-Pointers Made 1.5 0 D -9.3 -6 Pending
Showing 976–1000 of 1009 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.