Courtesy of Austin Lee - Footballguys.com
This is 100% from a FANTASY perspective measuring schedule strength by position (NON-PPR).
Full article with functional labels here: http://subscribers.footballguys.com/...=aleesos14wk22
Click on the blue text labels below to mix and match the time frames and data types. High numbers are green. Low numbers are blue. Green is good for offenses but bad for defenses. Because future raw data doesn't exist, 2014 data is re-used for future time frames. Normalized data predicts the future.
Data Type Descriptions
Raw Averages: Raw per-game stats for each team.
Production Percentages: Average percentages that teams have produced/allowed compared to other teams facing the same opponents.
Strength of Schedule: Average percentages that teams' opponents have allowed/produced compared to other teams facing the same opponents.
Normalized: Past time frames are normalized against past SOS. Future time frames are normalized against both past and future SOS.
Difference: Normalized stats minus raw stats.
Looks like some possible sleepers based on schedule could be RG3 and Atlanta RB. Possible busts look like Russell Wilson and Justin Forsett.
This is 100% from a FANTASY perspective measuring schedule strength by position (NON-PPR).
Full article with functional labels here: http://subscribers.footballguys.com/...=aleesos14wk22
Click on the blue text labels below to mix and match the time frames and data types. High numbers are green. Low numbers are blue. Green is good for offenses but bad for defenses. Because future raw data doesn't exist, 2014 data is re-used for future time frames. Normalized data predicts the future.
Data Type Descriptions
Raw Averages: Raw per-game stats for each team.
Production Percentages: Average percentages that teams have produced/allowed compared to other teams facing the same opponents.
Strength of Schedule: Average percentages that teams' opponents have allowed/produced compared to other teams facing the same opponents.
Normalized: Past time frames are normalized against past SOS. Future time frames are normalized against both past and future SOS.
Difference: Normalized stats minus raw stats.
| Team: | Offense | Defense | |||
| Stat Type: | Positional FP | Stat Categories | |||
| Time Frame: | 2014 | Last 5 Games | 2015 | ||
| Data Type: | Raw Averages | Production Percentages | Strength of Schedule | Normalized | Difference |
| ARI | 1% | -12% | -2% | 30% |
| ATL | 2% | 34% | 9% | -19% |
| BAL | 3% | -30% | 11% | 1% |
| BUF | -20% | -17% | -2% | -46% |
| CAR | -1% | -8% | -4% | 11% |
| CHI | 16% | 12% | 4% | 49% |
| CIN | -20% | 13% | -22% | -14% |
| CLE | -7% | 8% | 2% | -16% |
| DAL | -5% | -6% | -11% | 38% |
| DEN | 6% | -9% | -5% | 11% |
| DET | -20% | -24% | -11% | -9% |
| GB | -3% | 1% | 6% | -16% |
| HOU | -1% | -4% | 19% | -36% |
| IND | -1% | 8% | -18% | 20% |
| JAX | 6% | 15% | 1% | -11% |
| KC | -11% | -5% | -5% | -19% |
| MIA | 0% | 5% | 14% | -26% |
| MIN | -8% | 14% | -8% | -13% |
| NE | -7% | 0% | -10% | 5% |
| NO | 14% | 30% | 5% | -8% |
| NYG | 11% | 12% | -6% | 36% |
| NYJ | 10% | -13% | 4% | 21% |
| OAK | 9% | 25% | -5% | 8% |
| PHI | 16% | 11% | 23% | -31% |
| PIT | 14% | -18% | 9% | 18% |
| SD | 9% | -4% | 8% | -31% |
| SEA | -26% | -19% | -30% | 4% |
| SF | -10% | -22% | 0% | 12% |
| STL | -3% | -13% | 11% | -19% |
| TB | 1% | 12% | 11% | -4% |
| TEN | 6% | 23% | 0% | 21% |
| WAS | 29% | -11% | 15% | 38% |
Looks like some possible sleepers based on schedule could be RG3 and Atlanta RB. Possible busts look like Russell Wilson and Justin Forsett.