Classic Review

Build Relationship Matrix

A research surface for how winner-level build variables align, trade off, and cluster across first-place Classic Milly Maker lineups.

Search: 2018, WK 2, MAIN, QB+2, YES, max 4, early 6, TAG, GROUP

Headline relationships

Top reads
Strongest relationship -0.84
Early Players × Late Players

As one rises, the other tends to fall in the winner sample.

Top signal 2 +0.83
Total Own × Own 20+

These variables tend to rise together in the winner sample.

Top signal 3 +0.76
Max From Team × Max From Game

These variables tend to rise together in the winner sample.

Top signal 4 -0.74
Total Own × Own 0-10

As one rises, the other tends to fall in the winner sample.

Top signal 5 -0.71
QB+1 × QB+2

As one rises, the other tends to fall in the winner sample.

Top signal 6 +0.64
QB+2 × Max From Team

These variables tend to rise together in the winner sample.

MMT Relationship Scale
Negative Neutral Positive
Core Matrix

Winner build relationship matrix

This is the main surface. It should be able to hold any random tracked variable that helps explain how first place builds are actually assembled.

QB Naked
QB+1
QB+2
Double Stack
Bring Back
Double Bring Back
Onslaught
Max From Team
Max From Game
Early Players
Late Players
Salary Left
Total Own
Own 0-10
Own 11-19
Own 20+
Winner Pts
QB Naked
1.00
-0.42
-0.28
-0.05
-0.12
-0.07
-0.04
-0.45
-0.34
0.00
0.01
-0.06
0.11
-0.13
0.13
0.01
-0.18
QB+1
-0.42
1.00
-0.71
-0.14
-0.12
-0.12
-0.11
-0.35
-0.37
-0.05
0.06
-0.01
-0.03
0.06
-0.11
0.05
-0.09
QB+2
-0.28
-0.71
1.00
-0.09
0.18
0.14
0.16
0.64
0.57
0.10
-0.11
0.07
-0.05
0.04
0.01
-0.06
0.21
Double Stack
-0.05
-0.14
-0.09
1.00
0.15
0.12
-0.01
0.28
0.30
-0.13
0.16
-0.04
-0.01
-0.01
0.03
-0.02
0.06
Bring Back
-0.12
-0.12
0.18
0.15
1.00
0.35
-0.10
0.15
0.63
-0.02
-0.05
0.05
-0.07
-0.02
0.10
-0.09
0.22
Double Bring Back
-0.07
-0.12
0.14
0.12
0.35
1.00
-0.03
0.18
0.55
-0.16
0.09
-0.03
-0.01
-0.06
0.07
0.00
0.07
Onslaught
-0.04
-0.11
0.16
-0.01
-0.10
-0.03
1.00
0.38
0.21
0.09
-0.08
0.02
0.06
-0.03
0.06
-0.03
-0.05
Max From Team
-0.45
-0.35
0.64
0.28
0.15
0.18
0.38
1.00
0.76
-0.01
-0.02
0.03
0.00
-0.01
0.05
-0.04
0.10
Max From Game
-0.34
-0.37
0.57
0.30
0.63
0.55
0.21
0.76
1.00
-0.02
-0.05
0.03
-0.03
-0.03
0.11
-0.09
0.19
Early Players
0.00
-0.05
0.10
-0.13
-0.02
-0.16
0.09
-0.01
-0.02
1.00
-0.84
0.08
0.00
0.09
-0.13
0.03
0.02
Late Players
0.01
0.06
-0.11
0.16
-0.05
0.09
-0.08
-0.02
-0.05
-0.84
1.00
-0.08
0.05
-0.15
0.14
0.02
-0.06
Salary Left
-0.06
-0.01
0.07
-0.04
0.05
-0.03
0.02
0.03
0.03
0.08
-0.08
1.00
-0.06
-0.03
0.11
-0.08
0.04
Total Own
0.11
-0.03
-0.05
-0.01
-0.07
-0.01
0.06
0.00
-0.03
0.00
0.05
-0.06
1.00
-0.74
0.05
0.83
0.14
Own 0-10
-0.13
0.06
0.04
-0.01
-0.02
-0.06
-0.03
-0.01
-0.03
0.09
-0.15
-0.03
-0.74
1.00
-0.62
-0.53
-0.17
Own 11-19
0.13
-0.11
0.01
0.03
0.10
0.07
0.06
0.05
0.11
-0.13
0.14
0.11
0.05
-0.62
1.00
-0.34
0.03
Own 20+
0.01
0.05
-0.06
-0.02
-0.09
0.00
-0.03
-0.04
-0.09
0.03
0.02
-0.08
0.83
-0.53
-0.34
1.00
0.18
Winner Pts
-0.18
-0.09
0.21
0.06
0.22
0.07
-0.05
0.10
0.19
0.02
-0.06
0.04
0.14
-0.17
0.03
0.18
1.00
FAQ

Matrix notes

What does this page measure?

It measures how winner level build variables move together across DraftKings NFL Classic Milly Maker lineups. The goal is to separate real structural pairings from simple tradeoffs or one off noise.

What does a positive number mean?

A positive value means two variables tend to rise together across the winner sample. The stronger the value, the more often those traits show up in the same type of build.

What does a negative number mean?

A negative value means one variable usually rises as the other falls. Some negative relationships reflect real strategic tension, while others come from fixed lineup tradeoffs.

How should this be used with the matrix?

Start with the cells that stand out most, then ask whether the relationship is structural, contextual, or automatic. Strong values matter most when they reveal a usable build tendency rather than a simple constraint.

What should this become later?

A filterable research surface where any metric can be isolated by year, week, slate type, salary band, ownership pocket, tag cluster, and lineup family.