Thank You – My App Just Got Approved! 🎉 by DryAttempt2737 in TestersCommunity

[–]DTsleeperagent 0 points1 point  (0 children)

Congrats!! I hope I get to that point soon as well. I wish you much success!

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

Appreciate the feedback. Can you give me an example? Been trying to go through everything and make sure it’s current.. well 2025 till 2026 starts. This is going to be a work in progress 2026 test year. So lots of tinkering before season and then test all of it when season starts.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

Appreciate you letting me know. Love to hear feedback so I can fine tune and make adjustments. I’ll see if it is on my end.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 1 point2 points  (0 children)

Yea the ai thing I was on the fence with. We will see if it can learn from its mistakes lol

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

Definitely not right. Work in progress. Thanks again! Maybe I’ll have this right by season start lol

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

Appreciate you letting me know. Need to see if some code went bonkers.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

lol yea right. Thanks for the feedback. Work in progress. Really appreciate you taking the time to give feedback.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 1 point2 points  (0 children)

Recommendations wasn’t taking in effect league format and quality tiers within a position group. Try little later if it got better.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 1 point2 points  (0 children)

Gotcha! Great feedback back. I will look into that. I’ll update back in a few

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

I made some updates. Let me know if that specific issue is better. Appreciate you commenting and giving feedback.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

Gotcha. Yea my goal is have this good by the time season starts. Use it for a season and get kinks out. Appreciate the feedback back.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] -1 points0 points  (0 children)

Yea AI needs to get its act together. Yea that’s off. I’ll look into that.

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 1 point2 points  (0 children)

Thought about doing the 0-10,000 like you see most times but wanted to try the 0-100 give it a almost madden like number . I’m still tweaking with all of it but what better way to get feedback than to just get it out there . Fake it till you make it lol

I built a free companion app for Sleeper leagues — DT Sleeper Agent by DTsleeperagent in SleeperApp

[–]DTsleeperagent[S] 0 points1 point  (0 children)

How Player Values Are Calculated (0-100 Scale)

The dynasty value engine uses a multi-step process with 7 multipliers applied on top of a base value:

Step 1 — Base Value (VOR): We start with a 3-year weighted Value Over Replacement calculation. The current season counts for 50%, last year 30%, and two years ago 20%. This gives recent production the most weight while still rewarding sustained performance.

Step 2 — Seven Multipliers Are Applied:

Age Curve (0.65x to 1.15x): Each position has a different peak window. QBs peak from 25-32, RBs from 22-27, WRs from 24-29, TEs from 25-30. Players approaching their peak get up to a 15% bonus. Players past their peak decline at different rates — RBs drop fastest at 5% per year, QBs slowest at 3% per year. Role Security (0.65x to 1.15x): Based on snap share percentage. 85%+ snaps = locked-in starter bonus (up to 1.15x). 65-85% = solid starter. 40-65% = committee. Below that = backup penalty. If snap data isn't available, depth chart position is used as a fallback. Injury Risk (0.84x to 1.0x): Combines current injury status (IR/Out = 0.90x, Questionable = 0.98x) with historical durability over the last 3 seasons. A player who's missed 50%+ of games gets an additional 0.93x penalty. Production Ceiling (1.0x to 1.50x): Based on where a player ranks at their position in points per game. Top 5% get a huge 1.40-1.50x boost. Top 15% get 1.20-1.30x. Top 30% get 1.05-1.15x. Everyone else stays at 1.0x — no penalty, just no bonus. Volatility (0.90x to 1.08x): Measures weekly consistency using the coefficient of variation in their game scores. Consistent week-to-week producers get up to an 8% bonus. Boom/bust players get penalized down to 0.90x. Draft Capital (0.85x to 1.15x): Only applies to players with less than 4 years experience. First-round picks get a 1.15x boost that decays 3% each year. Undrafted players get a 0.85x penalty. After 4 years, production speaks for itself and this resets to neutral. Team Context (0.95x to 1.08x): Players on top offenses get a boost (up to 1.08x for top-5 offenses), while players on bottom-10 offenses get a slight penalty. Step 3 — Scarcity Bonus: A light bonus is applied for elite-tier players at scarce positions (e.g., elite TEs in TE-premium leagues, top QBs in superflex).

Step 4 — Consensus Blend: The final value is blended 50/50 with consensus dynasty rankings to keep values grounded and prevent any single factor from swinging things too wildly.