Slider explanation thread and statistical slider set recommendations

[theharbinater]

Quote: Originally Posted by Oraeon1224

Final test results of 3 games for human player Valuefficeffice" />>> Test1>> Test2>> Test 3>> Mean>> Real>> Score>> 29>> 15>> 29>> 24.3>> 24>> Total yards>> 394>> 321>> 394>> 369.7>> 391>> >> >> >> >> >> >> Passes>> 33>> 48>> 33>> 38.0>> 32>> Completion %>> 54%>> 40%>> 54%>> 49.3>> 58.1>> Pass yards>> 225>> 197>> 225>> 215.7>> 212>> Interceptions>> 0>> 2>> 0>> 0.7>> 1.4>> Drops>> 1>> 3>> 1>> 1.7>> UKN>> Sacks>> 2>> 4>> 2>> 2.7>> 3>> >> >> >> >> >> >> Rushes>> 49>> 38>> 49>> 45.3>> 38>> Run yards>> 169>> 124>> 169>> 154.0>> 165>> YPC >> 3.4>> 3.4>> 3.4>> 3.4>> 4.3>> YPC main RB>> 3.9>> 4.1>> 3.9>> 4.0>> 5.1>> TFL (excluding sack)>> 7>> 7>> 7>> 7.0>> 5.5>> Fumbles>> 0>> 0>> 0>> 0.0>> 1.1>> >> >> >> >> >> >> Punt average>> 46.4>> 42.1>> 46.4>> 45.0>> 38.5>> Penalties >> 6>> 6>> 6>> 6.0>> 5.7>> Penalty yards>> 45>> 50>> 45>> 46.7>> 52>> Holds >> 4>> 4>> 4>> 4.0>> UKN>> Facemask>> 0>> 0>> 0>> 0.0>> UKN>> False starts>> 0>> 1>> 0>> 0.3>> UKN>> Pass interference>> 0>> 0>> 0>> 0.0>> UKN>> Delay game>> 0>> 1>> 0>> 0.3>> UKN>>

all the #'s in the columns "test 1" and "test 3" are the same for every category.

make sure you didnt accidentally put in the same game twice. (i think you put in game #3 twice, as both #1 and #3, as i dont see game #1's #'s from what you posted earlier)

would hate for you to make incorrect assumptions and adjustments on a simple mistake.

[theharbinater]

i went ahead and re-ran the #'s based on what you have listed, subbing in game #1 #'s from page 2.

and i thought i'd give you another opinion.

	#1	#2	#3		average		real		diff
score	27	15	29		23.67		24		0.33
tot yds	281	321	394		332.00		391		59.00
pass	31	48	33		37.33		32		-5.33
comp %	51	40	54		48.33		58.1		9.77
pass yds	194	197	225		205.33		212		6.67
int	1	2	0		1.00		1.4		0.40
drop	3	3	1		2.33		4.5		2.17
sack	6	4	2		4.00		3		-1.00
rush	44	38	49		43.67		38		-5.67
rush yds	87	124	169		126.67		165		38.33
yd/c	2	3.4	3.4		2.93		4.3		1.37
yd/c #1 rb	3.9	4.1	3.9		3.97		5.1		1.13
tfl	6	7	7		6.67		5.5		-1.17
fumble	1	0	0		0.33		1.1		0.77
punt	44.9	42.1	46.4		44.47		38.5		-5.97
penalty	6	6	6		6.00		5.7		-0.30
pen yds	35	50	45		43.33		52		8.67
hold	3	4	4		3.67		0		-3.67
facemask	1	0	0		0.33		0		-0.33
false start	0	1	0		0.33		0		-0.33
pass int	0	0	0		0.00		0		0.00
delay	2	1	0		1.00		0		-1.00

my observations:

-score is right one, obviously
-total yds is a little low, but is, imo, negligible having only 3 tests so far.
-pass diff is negligible considering sample size. depending the way the games played out, the difference is nothing unusual.
-comp % is low, but could be the result of simply not being used to new sliders yet. (as you mentioned)
-pass yds is very close
-int is close
-drops are low, especially when considering the comp % is low (would expect them to be conversely related) meaning the incomp are due to the qb inaccuracy. raising qb accuracy might lower drops even more. imo, qb accuracy needs to raise (might be simple as the player getting used to the settings) and wr catching needs to be lowered some.
-sacks are not off on average, but the variance is too large (too big of a range). the small sample size makes it hard to determine anything.
-rushes are little high, like passes. also like passes, this could simply be a result of the games. however, these should also be conversely related. (not exactly, but over time) the more you pass, the less you run. but, again, sample size makes this too hard to determine any trend. simple solution might be too many plays per game.
-rush yds are low. i'll divert to oraeon's description on this, as he actually played the games. outside rushes were the problem according to him.
-y/c and y/c main rb are both low, and again, i'll leave it too oraeon to explain that.
-tfl is a little high, which is probably closely related to the low outside rush yds, per oraeon's description.
-fumble is little low, but considering sample size, not unusual.
-punt yds is long by about 5 yds. should lower punt power.
-penalty #'s are very close.
-penalty yds are a little low, but that can be a result of the types of penalties.

overall, looks pretty accurate, but one big thing is that sample size is simply too small to make any real educated adjustments. too small to see any trends.

also, as oraeon said, individual players will obviously be different skills and will need to tweak to likeness. but this is definitely a solid starting point.

[Mavmoses07]

I ran a test game last night with these sliders and here's what I've noticed (will post stats later if you want):

CU vs CU

rushing game seems perfect. My backs averaged 5.6 ypc, but that number was skewed by a 56 yard run.

Passing was difficult. Felt like I had 3-5 seconds to throw on most plays. Did not have a single successful PA play. Everytime I ran PA I was sacked or had to throw the ball away.

Completion percentage was low but this was more due to me throwing the ball away so often as I was always pressured, as opposed my qb's accuracy.

Far more false start penalties, 6, than offsiedes penalties, and I was the home team.

I'll play another game tonight with diffferent teams and see what happens.

[lbowbb2]

I've played two games with the sliders and they seem to work pretty well. We definitely need to think about increasing Human Pass Blocking. I've been sacked 11 times in two games. I also threw 4 picks in the second game because of the pressure (getting hit when throwing). Otherwise, I like the results so far.

[lbowbb2]

To correct the user pass blocking issue, I raised it to 45. I played a 7 minute quarter game with all the other sliders like you had them. I was only sacked once, which was good. Here are some stats I remember:

User:
QB 17-30 237 yards 2 TD 1 INT (sacked once)
Starting RB (who got hurt) 24 carries for 101
Second RB 18 carries for 142
Total Offense was 476

CPU:
QB 19-32 318 yards 3 TD (never sacked)
only about 50 total rushing yards
Total Offense was 381

Pittsburgh (me) 33
Cincinnati 31

Good game overall. I think there were five penalties on team and six on the other. Not every field goal was made, which is better than usual. Total offensive plays for both teams combined was in the 130s.

[Mavmoses07]

I thought about increasing pass block too, but then I think you almost get too much time in the pocket. I ran a few tests to see how much time I would have in the pocket for different combinations of pass rushers vs blockers. Here's I found using CU:

4 vs 5 (under center)
avg time: 5.2 secs
4 vs 5 (SG)
avg time: 6.4 secs
6 vs 5 (under center)
2.9 secs
7 vs 8 (under center)
3 secs

Adding blockers doesn't to help a whole lot for blitz pick up (Even tho it probably should). Yet each additional blitzer greatly limits your time in the pocket.

Maybe the thing to do is lower pass coverage?

[lbowbb2]

Lowering pass coverge might help on regular pass plays but not on play action. With pass block on 40, I didn't get a single play action pass off cleanly.

[Mavmoses07]

Quote: Originally Posted by lbowbb2

Lowering pass coverge might help on regular pass plays but not on play action. With pass block on 40, I didn't get a single play action pass off cleanly.

True... I just played a game and out of about 5 PA attempts I could only get one to be successful. The others I was nearly sacked after I faked the handoff. But at the same time the games I've been playing are really close. So I don't want to increase the sliders too much in my favor then the sliders would be unfair. I'm thinking of increasing pass block, keeping pass D the same and increasing interceptions.

The run game has been solid. I was getting good ypc, 5.5 to 6, with good rb's. Just played a game with a below average rb and only got 4.4 ypc, but also had 10 TFL, which is double the norm.

Here are the results so far. Game 2&3 were with Pass D decreased by 5. Game 1 is CU vs CU. Game 2 is Ark ST vs Ark ST. Game 3 is Kentucky vs Kentucky

Game..................1...........2.........3

2) # of passes	45	35	36
3) Completion %	47%	54%	55%
4) Passing yards	299	260	154
5) Interceptions	1	3	1
6) Knockdowns	9	3	7
7) Dropped passes	5	6	5
8) Sacks	2	0	1
Running statistics:
1) # of running plays	24	31	27
2) Running yards	138	184	104
3) Yards per carry of main 2 rushers (RB)	5.75	5.94	3.85
4) Fumbles	1	0	0
5) Tackles for loss	6	3	10
6) Number of running plays for >20 yards	1	1	0