📡 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 12 – Aug 10 →
Wins
71
Losses
53
Push
55
Win %
57.3%
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 5/41)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
101 Tyler Soderstrom OAK TB @ OAK Hits 1.5 17 D 15.2 -5 Pending
102 Bryson Stott PHI PHI @ STL Hits 1.5 16.4 D 11.8 -5 Pending
103 Wilyer Abreu BOS BOS @ TOR Hits 1.5 16.4 D 11.8 -5 Pending
104 Tarik Skubal LAD KC @ LAD Strikeouts 8.5 16.1 D 13.2 -5 Pending
105 Cam Smith HOU HOU @ SF Hits 1.5 16.1 D 11.3 -5 Pending
106 Reid Detmers LAA TEX @ LAA Strikeouts 7.5 15.7 D 14 -5 Pending
107 Brandon Nimmo TEX TEX @ LAA Hits 1.5 15.5 D 12.2 -5 Pending
108 Andrew Painter PHI PHI @ STL Strikeouts 4.5 15.4 D 13.6 -5 Pending
109 Carson Benge NYM NYM @ ATL Runs Batted In 1.5 14.9 D 13.2 -5 Pending
110 Fernando Tatis Jr. SD MIL @ SD Runs 1.5 14.9 D 13.2 -5 Pending
111 Jonathan Aranda TB TB @ OAK Hits 1.5 14.9 D 13.2 -5 Pending
112 Kyle Tucker LAD KC @ LAD Hits 1.5 14.9 D 13.2 -5 Pending
113 Jameson Taillon TOR BOS @ TOR Strikeouts 5.5 14.8 D 12.9 -5 Pending
114 Chandler Simpson TB TB @ OAK Hits 1.5 14.8 D 10.8 -5 Pending
115 Michael Soroka AZ COL @ ARI Strikeouts 5.5 14.6 D 11.7 -5 Pending
116 Jac Caglianone KC KC @ LAD Hits 1.5 13.8 D 11.3 -5 Pending
117 Sonny Gray BOS BOS @ TOR Strikeouts 5.5 13.6 D 12.9 -5 Pending
118 Fernando Tatis Jr. SD MIL @ SD Home Runs 0.5 13.4 D 10.3 -5 Pending
119 Jackson Chourio MIL MIL @ SD Home Runs 0.5 13.4 D 10.3 -5 Pending
120 Kaelen Culpepper MIN BAL @ MIN Runs 0.5 13.4 D 10.3 -5 Pending
121 Matt Olson ATL NYM @ ATL Home Runs 0.5 13.4 D 10.3 -5 Pending
122 Myles Straw TOR BOS @ TOR Runs 0.5 13.4 D 10.3 -5 Pending
123 Rhyne Howard TORONTO TEMPO @ ATL 3-Pointers Made 3.5 13.4 D 3.1 0 Pending
124 Andruw Monasterio BOS BOS @ TOR Hits 1.5 13.2 D 11.5 -5 Pending
125 Andruw Monasterio BOS BOS @ TOR Runs Batted In 1.5 13.2 D 11.5 -5 Pending
Showing 101–125 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.