SP+ was updated today. As expected, GT improved- from -5.4 to -
4.6
23.7 (75) for Offense, 28.2 (79) Defense, and -.1 (115) for Special Teams
You can then project out Regular Season Win totals by taking the difference in opponents SP+ ratings and factoring in Home Field Advantage to get a projected point spread.
Once I get my projected point spread I then convert to the Money Line by using a calculator powered by a ton of historical data located behind a paywall on the
Unabated site. Convert the Money Line to implied probability, then sum up the probability for the projected win totals.
Here is what I have after week 1:
Louisville (neutral site) /
Loss / 0%
SC State /
-28.5 / 97.53%
@ Ole Miss /
+24 / 4.64%
@ Wake /
+11.5 / 19.23%
Bowling Green /
-16 / 87.26%
@ Miami /
+19 / 8.84%
BC /
-6.5 / 67.95%
UNC /
+19.5 / 8.47%
@ UVA /
-9.5 / 76.08%
@ Clemson /
+19 / 8.84%
Syracuse /
+12.5 / 18.05%
UGA /
+35 / 0.53%
Projected Win Total of
3.97 wins.
Furthermore, I ran a Monte Carlo simulation w/ 10000 iterations to get a distribution of wins. The STDEV is very low (most are in the 1.2, 1.3 range) due to lack of "toss up" games on the schedule, so I don't expect a lot of variance from these numbers.
Georgia Tech | ACC | AVERAGE: | 3.9633 | | # WINS | FREQ | % |
| | MODE: | 4 | | 0 | 3 | 0.03% |
| | STDEV: | 1.06455 | | 1 | 57 | 0.57% |
| | MIN: | 0 | | 2 | 665 | 6.65% |
| | MAX: | 8 | | 3 | 2557 | 25.57% |
| | | | | 4 | 3821 | 38.21% |
| | | | | 5 | 2209 | 22.09% |
| | | | | 6 | 578 | 5.78% |
| | | | | 7 | 102 | 1.02% |
| | | | | 8 | 8 | 0.08% |
| | | | | 9 | 0 | 0.00% |
| | | | | 10 | 0 | 0.00% |
| | | | | 11 | 0 | 0.00% |
| | | | | 12 | 0 | 0.00% |