📡 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 15 – Jul 28 →
Wins
42
Losses
28
Push
13
Win %
60%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Kayla McBride
TORONTO TEMPO @ MIN WNBA
Points 18.5 OVER
72.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.9
Fit
4
2
Awa Fam
IND @ SEA WNBA
Rebounds 6.5 OVER
70.6 B
  • Heavy minutes projection
  • Stable player role
Raw
64
Clean
23
Fit
5
3
Sabrina Ionescu
NY @ LA WNBA
Points 19.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28
Fit
4
4
Shakira Austin
CON @ WSH WNBA
Points 15.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.6
Fit
4

📋 Full Board (1571 picks · Page 3/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
51 Olivia Miles TORONTO TEMPO @ MIN Assists 7.5 43.4 D 11.4 5 Pending
52 CJ Abrams WSH TOR @ WSH Total Bases 1.5 43.3 D 18.9 0 Pending
53 Manny Machado SD COL @ SD Hits 0.5 43.2 D 19.8 0 Pending
54 Ty France SD COL @ SD Hits 0.5 43.2 D 19.8 0 Pending
55 Sabrina Ionescu NY @ LA 3-Pointers Made 2.5 43.2 D 19.4 0 Pending
56 Manny Machado SD COL @ SD Runs 0.5 43.2 D 20.2 0 Pending
57 Willy Adames SF MIL @ SF Hits 0.5 43.2 D 20.2 0 Pending
58 Joc Pederson TEX TEX @ TB Total Bases 1.5 43 D 19.4 0 Pending
59 Cade Cavalli WSH TOR @ WSH Strikeouts 5.5 42.9 D 20.5 0 Pending
60 Ty France SD COL @ SD Total Bases 1.5 42.4 D 19.6 0 Pending
61 Jake Cronenworth SD COL @ SD Runs 0.5 42.2 D 19.5 0 Pending
62 Olivia Miles TORONTO TEMPO @ MIN Rebounds 4.5 42 D 9.6 5 Pending
63 Breanna Stewart NY @ LA Points 22.5 41.8 D 16.3 4 Pending
64 Nathaniel Lowe CIN CLE @ CIN Total Bases 1.5 41.8 D 19.8 0 Pending
65 Kayla McBride TORONTO TEMPO @ MIN 3-Pointers Made 2.5 41.7 D 14 0 Pending
66 Jung Hoo Lee SF MIL @ SF Hits 0.5 41.7 D 19.4 0 Pending
67 Luis Arraez SF MIL @ SF Runs Batted In 0.5 41.7 D 19.4 0 Pending
68 CJ Abrams WSH TOR @ WSH Hits 1.5 41.6 D 19.8 0 Pending
69 Jeff McNeil OAK BOS @ OAK Hits 0.5 41.5 D 19.8 0 Pending
70 Andrew Vaughn MIL MIL @ SF Hits 0.5 41.5 D 20.2 0 Pending
71 Andy Pages LAD SEA @ LAD Hits 0.5 41.5 D 20.2 0 Pending
72 Andy Pages LAD SEA @ LAD Runs 0.5 41.5 D 20.2 0 Pending
73 Christian Walker HOU HOU @ LAA Hits 0.5 41.5 D 20.2 0 Pending
74 Endy Rodriguez PIT ARI @ PIT Hits 0.5 41.5 D 20.2 0 Pending
75 Jo Adell LAA HOU @ LAA Hits 0.5 41.5 D 20.2 0 Pending
Showing 51–75 of 1571 picks
← Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 Next →

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.