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*NSFL Penalties - sabills - 08-30-2017

FOR PRETTIER VIEWING CHECKOUT THE GOOGLE DOCS AT THE BOTTOM

I did a look/ask around, and I don’t think anyone has done an in-depth look into penalties in the NSFL. Do certain teams take more or less penalties than other teams, and if so, why? How about to position? Are there any corollaries to the Intelligence attribute? Or is it all just a random smattering of penalties throughout the game and no matter what you do you’re going to take about the same amount of penalties and yards as anyone else? I can’t really answer all of these questions, but I collected all the stats together, and maybe some people can make some more correlations from what I have here.
I went through and collected all the penalties taken and the yards from each of the regular season games this year. I ignored pre-season because not all teams had the same amount (*cough*), and I wanted a standard set amount per team. I also ignored Season 1 for that same reason, but also because with a longer time to accrue and spend TPE there could be more of a difference between players in the second season than in the first.
I’ll attach my findings in a excel doc here so people can pour over them more if you like, but I’ll just highlight some of the findings here.
So lets start with the basics: the penalties and yards by team:
Team Penalties Yards
Arizona Outlaws 93 732
Baltimore Hawks 91 624
Colorado Yeti 82 669
Las Vegas Legion 91 720
Philadelphia Liberty 87 629
San Jose Sabrecats 79 690
Orange County Otters 73 640
Yellowknife Wraiths 84 646

Average per Team 85 668.75
Total 680 5350

We can already see that the numbers here are pretty even, in both penalties taken and yards, though the Outlaws are the runaway winners in both penalties and yards. When I was putting this together I noticed that the Otters had about 1/8th less penalties than any other team, but what I noticed later was that they were still about middle of the pack in terms of yardage. The percent difference in teams between the top most penalized teams and bottom are only 21% for number and 14% for yards. Not much of a differentiator. Now lets look at individuals, by highlighting the biggest offenders by team, and then overall.

Arizona:
Penalties: D. Dam – 8 Penalties
Yards: T. Pest – 56 yards

Baltimore:
Penalties: B. Metas – 9 Penalties
Yards: B. Metas – 80 Yards

Colorado:
Penalties: D. Law – 6 Penalties
Yards: D. Law – 55 Yards

Las Vegas:
Penalties: B. Crocker & T. Shoate – 7 Penalties
Yards: T. Shoate – 54 Yards

Orange County:
Penalties: C. Hamilton – 8 Penalties
Yards: M. Spector – 72 Yards

Philadelphia:
Penalties: F. North – 9 Penalties
Yards: F. North – 61 Yards

San Jose:
Penalties: D. Miller – 9 Penalties
Yards: C. Hardrool

Yellowknife:
Penalties: L. Novel – 10 Penalties
Yards: L. Novel – 90 Yards
Worst Overall:
Penalties: L. Novel – 10 Penalties YLW
Yards: L. Novel – 90 Yards YLW

Once again we see that there’s not a huge difference in leaders on each team. The penalties range from a max of 6 to a max of 10, and the yards from 49 to 90. If you look at the stats I provide, its generally a pretty simple sliding scale on each team for penalties to yards, and in fact in only two of the cases were the penalties and yards leader different.
Here are the top 10 offenders of penalties and yards overall:
Player Penalties INT
1 Novel, L. 10 50
2 Metas, B. 9 50
2 Miller, D. 9 53
4 North, F. 9 53
4 Dam, D. 8 52
4 Farlane, D. 8 34
4 Hamilton, C. 8 60
10 Hardrool, C. 8 43
10 Koch, D. 8 55
10 Crocker, B. 7 41
10 Lee, B. 7 60
10 Pest, T. 7 63
10 Rashad, I. 7 40
10 Reyes, R. 7 52
10 Shoate, T. 7 60
10 Tuck, J. 7 46
10 Tucker, P. 7 50
10 Vincent, M. 7 56
10 Von Gerhardt, O. 7 40
10 Wright, O. 7 30
10 Yates, J. 7 55

Player Yards INT
1 Novel, L. 90 50
2 Metas, B. 80 50
3 Spector, M. 72 50
4 Hardrool, C. 65 43
5 North, F. 61 53
6 Hamilton, C. 60 60
6 Koch, D. 60 55
6 Kronen, R. 60 50
9 Pest, T. 56 63
10 Dam, D. 55 52
10 Rashad, I. 55 40
10 Reyes, R. 55 52
10 Law, D. 55 40
10 Krimlaw, A. 55 45
10 Okonkwo, C. 55 42

Lets take a look at penalties/yards by position:
Total Players Commiting Penalty by Position
C 10
CB 20
DE 19
DT 11
FB 1
FS 11
G 18
K 1
LB 25
P 1
QB 7
RB 15
SS 5
T 14
TE 10
WR 24

Average by Position (by Committed) Penalties Yards
C 3.5 27.6
CB 3.05 25
DE 4.89 35.63
DT 3.45 24.82
FB 3 40.00
FS 3.55 33.45
G 3.24 27.53
K 6.00 44.00
LB 2.88 23.12
P 1.00 5.00
QB 1.86 11.86
RB 3.73 26.13
SS 2.60 20.40
T 3.00 21.71
TE 2.90 20.30
WR 2.46 18.75

WR was the worst offending position in terms of pure number, P, K, and FB the least. Congrats to J. Weal from the Legion (Punter), L. Chunk from the Wraiths (Kicker), and W. Fulton from the Yeti, as the only players from your respective positions to get a penalty all year. DE’s averaged the most penalties of by position of those that committed penalties. I think that kicker is some sort of data input problem, but it does show up in the game log, so…who knows?
I tried to find a correlation between INT and penalties, but I wasn’t really sure how to quantify that. I ended up taking the intelligence of each offender and dividing it by the number of penalties. Here’s what I got:
Average of Intelligence vs Penalties 13.10
Range of Intelligence vs. Penalties 35.5 - 4.25

Not really sure if that number means anything, but there it is. In my excel doc I include all the other attributes, so if someone wants to take some sort of look at that go ahead.

In all, if I had to make a guess about this, I would say that penalties are pretty much random, and there’s not a lot you can do about them, but someone better than me can go through this and try to draw more out of it.

One other note: I didn't realize there were 2 J. Tucks on Arizona until it was too late, and I didn't feel like going back through game logs to figure out how many each had, so, you know, sorry, haha.

Article in Doc form
Stats in Excel


*NSFL Penalties - kckolbe - 08-30-2017

This is amazing.


*NSFL Penalties - sabills - 08-30-2017

(08-30-2017, 02:38 PM)kckolbe Wrote:This is amazing.

Thanks. It took me way too long, because the only way to get penalty stats is to look at each game individually and copy them into excel, haha.

I started this to determine if it made sense for me to put any TPE into intelligence in the future, and I didn't even answer my own damned question.


*NSFL Penalties - kckolbe - 08-30-2017

Wait, did Baltimore also have the fewest yards lost to penalties? Damn, the "good luck" never ran out for them did it?

Also, a team called the "Outlaws" got caught the most times breaking the rules. Fucking perfect.


*NSFL Penalties - sabills - 08-30-2017

(08-30-2017, 02:55 PM)kckolbe Wrote:Wait, did Baltimore also have the fewest yards lost to penalties? Damn, the "good luck" never ran out for them did it?

Also, a team called the "Outlaws" got caught the most times breaking the rules.  Fucking perfect.

Yes, despite having tied for the second most penalties taken. :shrug:


*NSFL Penalties - manicmav36 - 08-30-2017

(08-30-2017, 02:55 PM)kckolbe Wrote:Wait, did Baltimore also have the fewest yards lost to penalties?  Damn, the "good luck" never ran out for them did it?

While true, it was by only 5 yards...


*NSFL Penalties - 7hawk77 - 08-30-2017

I assumed intelligence would prevent penalties but it doesn't seem that way.

Tim Pest has pretty high intelligence and has a ton of penalties. It almost just seems random with the sim disliking certain players lol


*NSFL Penalties - sabills - 08-30-2017

Somehow uploaded a bad version of the Excel doc, changed now in the original.


*NSFL Penalties - timeconsumer - 08-30-2017

I took your Excel doc and calculated the correlation coefficient between intelligence and penalties and found something interesting.

Intelligence has a -.32 correlation with penalties and -0.27 with penalty yards. It's still a very weak correlation but most other ones were almost zero.

I figured, maybe it's quarterbacks, they have high intelligence and they're skewing the average because they get fewer penalties or something.....nope. Still a -0.28 and -0.22.

What if we remove the defense? -0.12 and -0.06. down to statistical noise on only offense.

So if we only include defense? -0.46 and -0.37. Now we're cooking with gas, these are more reasonable coefficients. A regression returns a significant p-value as well, but a lowly 0.2 R-Squared.

I wouldn't call this settled, and I'm certainly not about to dump points into intelligence, but it is interesting to see the trends on defense with intelligence and penalties. It definitely leaves open future analyses.


*NSFL Penalties - sabills - 08-30-2017

(08-30-2017, 03:14 PM)timeconsumer Wrote:I took your Excel doc and calculated the correlation coefficient between intelligence and penalties and found something interesting.

Intelligence has a -.32 correlation with penalties and -0.27 with penalty yards. It's still a very weak correlation but most other ones were almost zero.

I figured, maybe it's quarterbacks, they have high intelligence and they're skewing the average because they get fewer penalties or something.....nope. Still a -0.28 and -0.22.

What if we remove the defense? -0.12 and -0.06. down to statistical noise on only offense.

So if we only include defense? -0.46 and -0.37. Now we're cooking with gas, these are more reasonable coefficients. A regression returns a significant p-value as well, but a lowly 0.2 R-Squared.

I wouldn't call this settled, and I'm certainly not about to dump points into intelligence, but it is interesting to see the trends on defense with intelligence and penalties. It definitely leaves open future analyses.

See! I needed math people in here, I did ok with the basic data retrieval and entry but didn't really know what to do with it.

Thanks for this. Penalties don't even happen enough to really worry about it, probably, but it is interesting.