📡 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 |
← Sep 20 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ TORONTO WNBA
Points 16.5 OVER
77.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
22.8
Fit
4
2
POR @ LA WNBA
Points 7.5 OVER
76.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
85
Clean
22.8
Fit
4
3
POR @ LA WNBA
Points 14.5 OVER
75 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
83
Clean
22.4
Fit
4
4
SEA @ LV WNBA
Points 13.5 OVER
71.2 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
21.7
Fit
4

📋 Full Board (2103 picks · Page 65/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1601 Nathan Church STL WSH @ STL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1602 Nick Allen HOU ATL @ HOU Runs 1.5 1.9 D 9.2 -5 Pending
1603 Nolan Arenado AZ NYY @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1604 Pete Crow-Armstrong CHC CHC @ CIN Runs 1.5 1.9 D 9.2 -5 Pending
1605 Royce Lewis MIN MIN @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1606 Royce Lewis MIN MIN @ LAA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1607 Ryan Vilade TB BOS @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1608 Ryan Vilade TB BOS @ TB Total Bases 1.5 1.9 D 9.2 -5 Pending
1609 Samuel Basallo BAL MIL @ BAL Runs 1.5 1.9 D 9.2 -5 Pending
1610 Samuel Basallo BAL MIL @ BAL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1611 Scott Bandura SF SF @ LAD Total Bases 1.5 1.9 D 9.2 -5 Pending
1612 Sean Keys TOR TOR @ TEX Runs 1.5 1.9 D 9.2 -5 Pending
1613 Shea Langeliers OAK OAK @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
1614 Shea Langeliers OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1615 Spencer Jones NYY NYY @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1616 Taylor Walls TB BOS @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1617 Taylor Walls TB BOS @ TB Total Bases 1.5 1.9 D 9.2 -5 Pending
1618 TJ Rumfield COL SEA @ COL Runs 1.5 1.9 D 9.2 -5 Pending
1619 Tristan Peters CWS DET @ CWS Total Bases 1.5 1.9 D 9.2 -5 Pending
1620 Tyler Stephenson CIN CHC @ CIN Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1621 Vaughn Grissom LAA MIN @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1622 Victor Caratini MIN MIN @ LAA Runs 1.5 1.9 D 9.2 -5 Pending
1623 Victor Mesa Jr. TB BOS @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1624 Vladimir Guerrero Jr. TOR TOR @ TEX Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1625 Wade Meckler LAA MIN @ LAA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
Showing 1601–1625 of 2103 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.