Midseason Progressive Results

And now, what everyone's been waiting for. We're about halfway through the season, so I think it's time to post NFLSim's impressive progressive results. I chose to leave out week 2 because It was still too early for me to be making predictions based on 1 week of data. I'm going to post Accuscore's results as well for a comparison. They're the only other play-by-play NFL simulator I know of and they're a well established, well funded, syndicated, sponsored, and mathematically sophisticated operation. David and Goliath? Let's see...

I'm going to give you several different numbers. First, I'll give you the overall numbers, as in the collective 50-100% predictions for winner, spread, and o/u. Then you'll get their numbers broken down. I'll show you weekly trends, % trends, etc.

Overall numbers:
Winner: 65-34 (65.7%)
Spread: 47-45 (51.5%)
O/U: 50-43 (53.8%)
Spread and O/U combined: 97-88 (53.8%)

Accuscore numbers:
Winner: 87-43 (66.9%)
Spread: 51-50 (50.5%)
O/U: 67-50 (57.2%)
Spread and O/U combined: 118-100 (54.1%)

Accuscore has a slight edge when picking the winner, I have a slight edge picking ATS, and Accuscore has a sizeable advantage picking O/U. BUT! Let's look at how Black Box Sports picks compare when confidence is at least 60%. This confidence is really where NFLSim shines. Here is Black Box Sports's record when the confidence is over 60% compared to Accuscore's overall record (can't find any confidence values for picks). Fasten your seat belts.

Black Box Sports +60%:
Winner: 41-19 (68.3%) ... 22-8 (73.3%) when greater than 70%
Spread: 36-21 (63.2%)
O/U: 21-10 (67.7%)
Spread and O/U: 57-31 (64.7%)
Betting 100 units on the spread and over/under, you made +2290, ROI of 26%, halfway through the season.

Once again, Accuscore's numbers:
Accuscore:
Winner: 87-43 (66.9%)
Spread: 51-50 (50.5%)
O/U: 67-50 (57.2%)
Spread and O/U combined: 118-100 (54.1%)

Picking the winner, I'm ahead by 1.4% when at least 60% confidence, 6.4% when at least 70% confidence. Spread, I'm ahead by 12.7%. O/U, up by 10.5%. Combined, I'm up by 10.6%. That's what I'm talking about. Not to mention I offer all the picks for free... Spread the word everyone.

In tabular format:

Winner		Wins	Games	Win %
	50-59	24	39	61.5%
	60-69	19	30	63.3%
	70-79	17	24	70.8%
	80-89	4	4	100.0%
	90-100	1	2	50.0%
	Total	65	99	65.7%
Spread		Wins	Games	Win %
	50-59	11	35	31.4%
	60-69	24	37	64.9%
	70-79	11	16	68.8%
	80-89	0	3	0.0%
	90-100	1	1	100.0%
	Total	47	92	51.1%
Over		Wins	Games	Win %
	50-59	29	62	46.8%
	60-69	15	22	68.2%
	70-79	2	4	50.0%
	80-89	2	3	66.7%
	90-100	2	2	100.0%
	Total	50	93	53.8%

S&O/U
	50-59	40	97	41.2%
	60-69	39	59	66.1%
	70-79	13	20	65.0%
	80-89	2	6	33.3%
	90-100	3	3	100.0%
	Total	97	185	52.4%

Graphically:
Theoretically, as in, if NFLSim was a perfect analog of reality, those dashed lines would be perfectly in line with the thick black line. It would mean that the confidence values are always spot on and the games end exactly the way they should. If the trend (dashed) lines are below the thick line, the confidence values are not as accurate as reality. The more parallel the thick and trend lines are, the more accurate the changes in confidenc values are, i.e., as confidence increases, the accuracy increases at the correct rate. If that makes any sense. This graph shows all the picks.


You'll notice that above, the win % for 90-100 is at 50%. In week 3, the 90.03% favorite NE lost to MIA. 0.03% is just about a difference of 1 game in the entire set of hundreds and hundreds of simulated games. Had NE been an 89.97% favorite, the graph would look like this:


Check out the 'Wins' line. The Wins line overlaps the theoretical line. You can't even see it. That's absolutely absurd, especially after 100 games. The trendline has a slope of .09, compared to the theoretical line's .1. The "Wins" trendline has an R-squared value (a measure of how closely the data points fit the line) of 0.89. Absolutely insane. In general, I try to temper my enthusiasm, but this is unbelievable... This means that when NFLSim says a team will win 63% of the time, that team will win 63% of the time. For those of you math-minded people, the expected number of wins is approximately 64.15. The actual number of wins is 65. That blows my mind.

Here's a team-by-team accuracy breakdown:

	Win %	Cover Spread %	Over %
ARI	83.3%	40.0%	50.0%
ATL	66.7%	50.0%	33.3%
BAL	57.1%	42.9%	71.4%
BUF	66.7%	50.0%	66.7%
CAR	83.3%	40.0%	50.0%
CHI	50.0%	50.0%	66.7%
CIN	71.4%	71.4%	33.3%
CLE	42.9%	42.9%	57.1%
DAL	57.1%	57.1%	57.1%
DEN	50.0%	33.3%	20.0%
DET	100.0%	66.7%	40.0%
GB	100.0%	66.7%	66.7%
HOU	71.4%	57.1%	85.7%
IND	33.3%	50.0%	33.3%
JAX	33.3%	66.7%	60.0%
KC	83.3%	66.7%	83.3%
MIA	33.3%	66.7%	50.0%
MIN	83.3%	66.7%	50.0%
NE	33.3%	20.0%	20.0%
NO	66.7%	33.3%	50.0%
NYG	66.7%	16.7%	20.0%
NYJ	71.4%	57.1%	57.1%
OAK	57.1%	14.3%	57.1%
PHI	66.7%	0.0%	66.7%
PIT	50.0%	66.7%	66.7%
SD	83.3%	50.0%	33.3%
SEA	83.3%	50.0%	33.3%
SF	50.0%	33.3%	40.0%
STL	57.1%	50.0%	28.6%
TB	71.4%	42.9%	57.1%
TEN	100.0%	66.7%	83.3%
WAS	42.9%	28.6%	33.3%

I'll post some more stats if I have a chance.
Enjoy!

I'd love to hear everyone's reactions and questions, so don't be shy, send me some emails.