Weekly Stats:
| Total Pts | Moves | Pts High | Pts Low | PPG Avg. | |
| 2025 Week 5 | 1533.72 | 79 | 132.96 | 82.22 | 109.55 |
| Week Rank * | 3rd/19th | 2nd/19th | 15th/19th | 3rd/19th | 3rd/19th |
| 2025 Average | 1465.80 | 57 | 143.52 | 59.42 | 104.70 |
| 2024 Average | 1461.80 | 46 | 166.80 | 39.12 | 106.20 |
* Ranks this week in scoring against previous weeks, only includes 14-Team Half-PPR era.
It was gonna be hard to follow up last week, but we got pretty damn close. Last week was our second best scoring week in the 14-Team Half-PPR era and had the most moves made in a week in league history. This week was our third best scoring week in the 14-Team Half-PPR era, and had the second most moves made in a week in league history.
The scoring might’ve been down but games were way closer this week. The difference between the High in Points vs the Low in Points was just 50.74, which ranks 7th all-time.
Another big detail from this week, October 1st was the busiest day so far this year. 54 total moves were done on the first of the month. The next closest day this year had 24 total moves.
NOTE: I have changed how moves are counted. Previously, each transaction counted as one move. From now on, each individual player moved counts as one move. This way, someone dropping a player in one transaction and signing a player in another, counts the same as a sign and drop. This also provides better context to trades. Move counts have been retroactively updated and going forward move counts will be accurate to these new standards. Also, even with retroactively updating move counts, this week is still by far the most active, and under the previous method it would still be 1st by a decent amount.
Weekly Awards:
Award Tracker: New this season, after each award winner will be their award counts from this season. Every time someone wins an award, their count will go up.
Example: [1-1-4-1-2]
First Number: 1x Scoring Champion
Second Number: 1x Biggest Win
Third Number: 4x Most Efficient
Fourth Number: 1x Moves Leader
Fifth Number: 2x Move of the Week
| Award Title | Award Winner | Award Value | Winner’s Total |
| Scoring Champion | Aaron | 132.96 pts | [1-2-2-0-1] |
| Biggest Win | Aaron | 50.74 pts | [1-2-2-0-1] |
| Most Efficient | Aaron, Alex, Chan, Greg, Madalyn, Matt, Nick | 100.00% | [1-2-2-0-1], [1-0-1-2-1], [0-1-2-0-2], [1-2-1-0-1], [1-0-1-0-0], [0-0-1-0-0], [0-0-1-1-1] |
| Moves Leader | Nick | 13 moves* | [0-0-1-1-1] |
| Move of the Week | Andrew | FA Sign: Rico Dowdle | [1-0-0-0-2] |
– Matt Stafford, Christian McCaffrey, and Ja’Marr Chase put up 20+ points to secure Scoring Champion for the Rubber Ducks this week.
– The Rubber Ducks had a big week, with a 50.74 pt win versus Andrew.
– As we get into the bye weeks, this is going to be a popular award. Aaron, Alex, Chan, Greg, Madalyn, Matt, and Nick, all set their best possible lineups this week.
– Nick made 13 moves this week, taking the Moves Leader award. This ties the season high in moves made in a week (Alex, Week 4).
– The North Dakota Nothin’ brought in Rico Dowdle this week, who put up 30.90 points.
Milestones:
Aaron and Alex – Most Career Wins Record (55)
Nick – 10,000 Career Points For
Kyrsten – 25 Career Wins
End of Week Power Rankings:
| Rank | Team | High / Low |
| 1 | [–] Alex | High: 1, Low: 5 |
| 2 | [–] Aaron | High: 2, Low: 8 |
| 3 | [–] Greg | High: 2, Low: 5 |
| 4 | [+1] Bill | High: 3, Low: 6 |
| 5 | [+2] Adin | High: 5, Low: 12 |
| 6 | [-2] Chan | High: 4, Low: 8 |
| 7 | [+2] Katie | High: 7, Low: 13 |
| 8 | [–] Kyrsten | High: 4, Low: 11 |
| 9 | [+2] Madalyn | High: 9, Low: 14 |
| 10 | [-4] Matt | High: 4, Low: 10 |
| 11 | [-1] Christal | High: 10, Low: 14 |
| 12 | [–] James | High: 9, Low: 13 |
| 13 | [+1] Nick | High: 2, Low: 14 |
| 14 | [-1] Andrew | High: 1, Low: 14 |
Power Ranking Notes:
Due to inconsistent number of responses, I have changed the format of Power Rankings to streamline the process. I have made a simple formula that will give each team a grade. I will then go by each tier (1-4, 5-8, 9-14) and rearrange teams within that tier if there is any nuances that the formula doesn’t take into account (i.e. injuries, recent moves, players coming back from IR). It’s not perfect but will be easier to automate through the season.
The formula takes into account your PPG, how well you do compared to projections, and how consistently your players perform.