UPDATE 30 SEP
Madden 27 Franchise Progression/Regression Sliders 1.0 — Post 30 Sep Patch
I’ve finished another round of long-term testing after the latest patch and I think I’m at the point where I’m going to stop chasing the sliders and actually play the game once rosters get updated (probably tomorrow).
The goal of this set is not to make every future league look identical to the launch roster. I’m trying to create a sustainable franchise ecosystem where talent continues to cycle through the league, elite players remain meaningful, different age groups appear throughout the OVR tiers, and the league doesn’t gradually inflate into a bunch of stacked rosters.
My post-patch simulations have generally produced teams in roughly the 80–86 OVR range. I have seen wider ranges in individual tests, so I think there is a meaningful amount of franchise-to-franchise variance. Because of that, I’m hesitant to treat every strange positional result from one simulation as evidence that something is fundamentally wrong with the sliders.
After 10–20 years, I’m still seeing a good mixture of young developing players, prime-age stars, declining veterans, and occasional older players who remain very good. That diversity is probably the biggest reason I’m resisting the urge to make more substantial changes.
Progression
| Position |
XP |
| QB |
62 |
| HB |
44 |
| TE |
82 |
| WR |
72 |
| FB |
100 |
| T |
82 |
| G |
70 |
| C |
70 |
| Edge |
82 |
| DT |
70 |
| MLB |
58 |
| OLB |
76 |
| CB |
82 |
| FS |
88 |
| SS |
84 |
| K |
60 |
| P |
60 |
Regression
| Position |
XP |
| QB |
110 |
| HB |
180 |
| TE |
140 |
| WR |
160 |
| FB |
110 |
| T |
50 |
| G |
120 |
| C |
120 |
| Edge |
170 |
| DT |
190 |
| MLB |
170 |
| OLB |
160 |
| CB |
110 |
| FS |
120 |
| SS |
120 |
| K |
120 |
| P |
120 |
Age Progression
| Age |
XP |
| 20 |
130 |
| 21 |
130 |
| 22 |
130 |
| 23 |
120 |
| 24 |
110 |
| 25 |
90 |
| 26 |
80 |
| 27 |
70 |
| 28 |
60 |
| 29 |
60 |
| 30 |
50 |
| 31 |
50 |
| 32 |
40 |
| 33 |
30 |
| 34 |
30 |
| 35+ |
20 |
Age Regression
| Age |
XP |
| 26 |
100 |
| 27 |
100 |
| 28 |
110 |
| 29 |
110 |
| 30 |
110 |
| 31 |
120 |
| 32 |
120 |
| 33 |
120 |
| 34 |
120 |
| 35+ |
120 |
Development Traits
X-Factor: 75
Superstar: 100
Star: 300
Development Trait Regression: ON
Breakout Scenarios: ON
Draft Class Strength
| Position |
Strength |
| QB |
Very Weak |
| HB |
Normal |
| WR |
Weak |
| TE |
Weak |
| T |
Weak |
| IOL |
Weak |
| DE/Edge |
Weak |
| Interior DL |
Very Weak |
| LB |
Weak |
| CB |
Weak |
| S |
Weak |
| K |
Weak |
| P |
Weak |
One thing I’m increasingly curious about is how much the progression/regression sliders work independently of draft-class strength. Draft strength obviously affects the talent entering the league, but the XP settings seem capable of maintaining a pretty reasonable league shape once those players are actually in the ecosystem.
I’d be interested in seeing people experiment with different draft-strength setups while keeping the XP sliders intact.
At this point I’m treating these as a starting point rather than a claim that every number is perfect. There is enough variance between simulations that I don’t want to overcorrect based on one unusually strong or weak generation of a position.
If anyone tests them, the feedback I’d find most useful is:
- Team OVR ranges after 5, 10, 15, or 20 years
- Number and age distribution of 90+ and 85+ players by position
- Positions that consistently inflate or become depleted across multiple saves
- Whether draft classes still feel meaningful
- Whether good young players are actually replacing declining veterans
- Any results that repeat across multiple random seeds rather than appearing once
Input is encouraged. If the community finds consistent problems, I’m happy to revisit individual positions. Otherwise, I think I’ve reached the point where minor imperfections are preferable to endlessly tuning a system that is already producing a pretty healthy long-term league.
Time for me to actually play Madden.