USL 2021 - Track 2 - Silent Shout

[Duplode]

Tenth shaving at the final sector, down to 1:07.40. (Goal difference matters!)

[CTG]

Okay, that one was really surprising - the fastest lap was completed with auto gears.

Winner of the round: CTG
Best losing pipsqueak: Duplode

Results (with normalized times):

Daniel3D	1:29.00 (1:19.82)	-	1:15.50 (1:07.71)	KyLiE
afullo	1:24.50 (1:15.78)	-	1:09.05 (1:01.93)	dreadnaut
Alan Rotoi	1:09.85 (1:02.65)	-	1:19.80 (1:11.57)	Cas
Duplode	1:07.40 (1:00.45)	-	1:06.90 (1:00.00)	CTG

Standings

no	name	W	D	L	bonus	OWN SUM	OPP SUM	Diff	pts
1	Alan Rotoi	2	0	0	1	2:02.65	2:16.75	+14.10	5
2	dreadnaut	2	0	0	0	2:08.95	2:29.57	+20.62	4
3	CTG	1	0	1	2	2:05.18	2:00.45	-4.73	4
4	Duplode	1	0	1	1	2:02.08	2:08.13	+6.05	3
5	KyLiE	1	0	1	0	2:15.84	2:21.45	+5.61	2
6	afullo	1	0	1	0	2:27.46	2:15.13	-12.33	2
7	Cas	0	0	2	0	2:24.77	2:14.33	-10.44	0
8	Daniel3D	0	0	2	0	2:33.61	2:14.73	-18.88	0

[Duplode]

Okay, that one was really surprising - the fastest lap was completed with auto gears.

I guess some of it has to do with the track (few of the jumps are useful for speed boosting), and some with the car (easy to mess up downshifts).

[Daniel3D]

I loved this track. A shame I didn't have more time. (Not that I really could have improved my time mutch, but a few seconds should have been possible...

[Cas]

I tried many times to improve my lap, but this was the best I could do on this one. Looking at the table, I think these USL results will be very useful statistically for studies like what Duplode has been presenting. The cumulative normalised time differences look very representative. Only thing is that we're a limited set of pipsqueaks, but still.

[Duplode]

Looking at the table, I think these USL results will be very useful statistically for studies like what Duplode has been presenting. The cumulative normalised time differences look very representative. Only thing is that we're a limited set of pipsqueaks, but still.

Indeed: here we have seven freestyle RH races within a short time frame and with the same field of pipsqueaks. Charting the results against ZakStunts ratings model should be an interesting experiment; thanks for the suggestion!

(By the way, lately I have made quite a bit of progress on the theoretical side of the model, which provides tasty food for thought if nothing else. I plan to post a summary of what I've been thinking about anytime soon.)

[Cas]

That's going to be very interesting to see!  I'll try to come up with ideas at R4K that can help provide useful information too