Week 3 SP+ has GT moving from -1.0 to
-4.4
24.5 (74) for Offense, 28.8 (85) Defense, and -.2 (100) 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 3:
Louisville (neutral site) /
Loss / 0%
SC State /
Win / 100%
@ Ole Miss /
Loss / 0%
@ Wake /
+4 / 37.88%
Bowling Green /
-14 / 84.57%
@ Miami /
+19.5 / 8.47%
BC /
-3 / 57.63%
UNC /
+18.5 / 9.26%
@ UVA /
-8.5 / 75%
@ Clemson /
+24 / 4.64%
Syracuse /
+14.5 / 14.27%
UGA /
+32 / 0.53%
Projected Win Total of
4.08 wins.
I also ran a Monte Carlo simulation with 10000 iterations to get a distribution of wins:
Georgia Tech | ACC | AVERAGE: | 3.9384 | | # WINS | FREQ | % |
| | MODE: | 4 | | 0 | 0 | 0.00% |
| | STDEV: | 1.073741 | | 1 | 79 | 0.79% |
| | MIN: | 1 | | 2 | 724 | 7.24% |
| | MAX: | 8 | | 3 | 2622 | 26.22% |
| | | | | 4 | 3623 | 36.23% |
| | | | | 5 | 2293 | 22.93% |
| | | | | 6 | 583 | 5.83% |
| | | | | 7 | 72 | 0.72% |
| | | | | 8 | 4 | 0.04% |
| | | | | 9 | 0 | 0.00% |
| | | | | 10 | 0 | 0.00% |
| | | | | 11 | 0 | 0.00% |
| | | | | 12 | 0 | 0.00% |