With the move to the AAC, WSU joined a league that made keeping track of the conference championship race interesting again. Unfortunately, it meant giving up the one thing I still really liked about the MVC: a true double-round-robin league schedule. With 12 teams and 18 league games, we are now faced with an unbalanced conference schedule, which can make determining a 'true' champion feel more difficult. I've tried to measure each team's intra-conference SOS so that we can track who was given hard/soft schedules to begin with; and as we progress through the season, who has hard/soft schedules remaining.
A short description of the methodology:
I used KenPom AdjEM ratings as the basis for schedule strength. I then add +/- a constant for Home and Away games. And then I floated the numbers so that the lowest value is always positive. The spread of difficulty remains the same this way, but we don't have to deal with an idea of a game having a negative difficulty value.
I'll update the base KenPom values and SOS values on days when AAC games are played.
SOS Total: Total Adjusted Value of Conference Schedule
SOS Played: Adjusted Value of Conference Games Played to Date
SOS Rem: Adjusted Value of Conference Games Remaining
Avg SOS Played: Average Adjusted Value of Conference Games Played to Date
Avg SOS Remaining: Average Adjusted Value of Conference Games Remaining
Three takeaways that remained the same regardless of the method I tried:
1. Temple has the most difficult league schedule.
2. Tulsa has the easiest league schedule.
3. SMU has the schedule most unbecoming of their preseason conference prediction.
You can see why Tulsa is currently 3-1, why Temple is currently 1-4, and that WSU is easing into the new conference leaving a very stout back half of the schedule.
A short description of the methodology:
I used KenPom AdjEM ratings as the basis for schedule strength. I then add +/- a constant for Home and Away games. And then I floated the numbers so that the lowest value is always positive. The spread of difficulty remains the same this way, but we don't have to deal with an idea of a game having a negative difficulty value.
I'll update the base KenPom values and SOS values on days when AAC games are played.
SOS Total: Total Adjusted Value of Conference Schedule
SOS Played: Adjusted Value of Conference Games Played to Date
SOS Rem: Adjusted Value of Conference Games Remaining
Avg SOS Played: Average Adjusted Value of Conference Games Played to Date
Avg SOS Remaining: Average Adjusted Value of Conference Games Remaining
Team | W | L | % | ppgOff | ppgDef | MoV | SOS Played | SOS Rem | SOS Total | Avg SOS Played | Avg SOS Remaining |
WSU | 3 | 0 | 1.000 | 82.7 | 60.7 | 22.0 | 58.84 | 431.76 | 490.60 | 19.6 | 28.8 |
CINCY | 3 | 0 | 1.000 | 71.0 | 52.3 | 18.7 | 78.57 | 405.34 | 483.91 | 26.2 | 27.0 |
TULSA | 3 | 1 | 0.750 | 75.3 | 68.3 | 7.0 | 71.18 | 369.58 | 440.76 | 17.8 | 26.4 |
UH | 2 | 1 | 0.667 | 72.7 | 71.3 | 1.3 | 82.49 | 384.58 | 467.07 | 27.5 | 25.6 |
UCF | 3 | 2 | 0.600 | 57.6 | 50.4 | 7.2 | 117.14 | 378.42 | 495.56 | 23.4 | 29.1 |
TLN | 2 | 2 | 0.500 | 75.8 | 76.5 | -0.8 | 106.92 | 339.60 | 446.52 | 26.7 | 24.3 |
UM | 2 | 2 | 0.500 | 69.0 | 75.8 | -6.8 | 119.51 | 331.14 | 450.65 | 29.9 | 23.7 |
UCONN | 2 | 2 | 0.500 | 70.5 | 70.0 | 0.5 | 90.98 | 394.65 | 485.63 | 22.7 | 28.2 |
SMU | 2 | 3 | 0.400 | 65.0 | 61.0 | 4.0 | 126.13 | 339.53 | 465.66 | 25.2 | 26.1 |
ECU | 1 | 3 | 0.250 | 56.0 | 68.3 | -12.3 | 91.66 | 383.31 | 474.97 | 22.9 | 27.4 |
TEMPLE | 1 | 4 | 0.200 | 61.2 | 68.0 | -6.8 | 171.53 | 334.81 | 506.34 | 34.3 | 25.8 |
USF | 0 | 4 | 0.000 | 55.3 | 80.0 | -24.8 | 118.89 | 361.36 | 480.25 | 29.7 | 25.8 |
Three takeaways that remained the same regardless of the method I tried:
1. Temple has the most difficult league schedule.
2. Tulsa has the easiest league schedule.
3. SMU has the schedule most unbecoming of their preseason conference prediction.
You can see why Tulsa is currently 3-1, why Temple is currently 1-4, and that WSU is easing into the new conference leaving a very stout back half of the schedule.
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