📡 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 |
← Aug 12 →
Wins
0
Losses
0
Push
6
Win %
0%
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
MIN @ POR WNBA
Points 15.5 OVER
66.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
22.4
Fit
4
2
TORONTO TEMPO @ DAL WNBA
Points 7.5 OVER
65.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
21.5
Fit
4
3
CHI @ GSV WNBA
Rebounds 6.5 OVER
65.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
22
Fit
5
4
CHI @ GSV WNBA
Points 11.5 OVER
63.3 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
21.9
Fit
4

📋 Full Board (1508 picks · Page 39/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Bryan Reynolds PIT PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
952 Bryan Torres STL PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
953 Bryson Stott PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
954 Cal Raleigh SEA SEA @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
955 Caleb Durbin BOS BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
956 Carlos Cortes OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
957 Carlos Narvaez BAL BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
958 Carson Benge NYM NYM @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
959 Carson Kelly CHC CHC @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
960 Cedric Mullins TB TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
961 Chandler Simpson TB TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
962 Christian Koss SF HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
963 Christian Vazquez HOU HOU @ SF Runs 0.5 3.2 D 9.2 -5 Pending
964 Christian Vazquez HOU HOU @ SF Runs Batted In 0.5 3.2 D 9.2 -5 Pending
965 Christian Walker HOU HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
966 Coby Mayo BAL BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
967 Cole Carrigg COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
968 Cole Young SEA SEA @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
969 Colt Emerson SEA SEA @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
970 Dane Myers CIN CIN @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
971 Dansby Swanson CHC CHC @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
972 David Hamilton MIL MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
973 Denzer Guzman LAA TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
974 Dominic Canzone SEA SEA @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
975 Donovan Walton OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 951–975 of 1508 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.