leaf deserves better.. he should go on a brazil roster
| Flag: | Finland |
| Registered: | March 7, 2021 |
| Last post: | September 8, 2022 at 2:28 PM |
| Posts: | 2141 |
leaf deserves better.. he should go on a brazil roster
WUHQWREIUHRQWEUIRQ3HUIRTQ3HUI42HO3R8UIY3WHROIUYWEASHRQWIEOUHWQAU
If you're on Chrome, search for the "AHA Music" extension, it'll tell you the song playing.
by take serious i mean exposing set plays and strategies, that they may be better off on holding for later on in the tourney
NA's final warriors. I can unironically see them winning here if Liquid don't take this serious.
50,000 united states dollars per year on contract for a minimum of a year?
Also I'm saying that's the minimum base salary, the average salaries were 106k/Yr in 2020 for example.
Getting more accurate on all fronts, probably because more players are getting a better true sampling of their usual ACS. The champions ACS distribution is getting closer in shape to the prior mean ACS and approaching its mean.
Round 1 plots:
Post-groups plots:
Round 1 scoring:
Total prior error = 2582 Total pred error = 2436 Total rand error = 4183.0
Average prior error = 32 Average pred error = 30 Average rand error = 52
Correct predictions(predicted acs): 30/81 = 37%
Correct predictions(prior acs): 24/81 = 29%
Correct predictions(random acs): 17/81 = 20%
Post-groups scoring:
Total prior error = 2107 Total pred error = 1919 Total rand error = 3465
Average prior error = 25 Average pred error = 23 Average rand error = 42
Correct predictions(predicted acs): 42/82 = 51%
Correct predictions(prior acs): 35/82 = 43%
Correct predictions(random acs): 26/82 = 32%Total prior error is the absolute difference between the predictor and true ACS. The average error is just the mean of those differences. A "correct" prediction is categorized by whether it falls within +/- 20 ACS of the current champions ACS.
Note: The computed random predictions are different datasets(because I overwrote the other one by accident)
WHY DID I SLEEP OVER THIS THIS WOULD'VE BEEN THE FUNNIEST SHIT TO WITNESS LIVE
You can tell by the fact that most NA users suddenly disappeared from this forum KEKW
thank u chet for picking bind against the acend that 13-0'd gambit on it
software delay/syncing is pretty bad, they need to create actual native integreations with the valorant client instead of whatever bubblegum solution they have right now, same with the UI
u forgot jamppi astra and l1nk's iconic cypher?
Acend rounds in that series: 28
Vivo keyd rounds in that series: 26
Yet somehow they are still better? Untrue.
maybe in masters berlin?
they are somehow still going to manage to lose aren't they..
is his pfp one of those monkey nft's? sry no respect will be granted to this take
I just had a heart attack when I saw the 1v2, but I instantly relaxed when I saw it was L1NK on the clutch....
Glitchpop vandal: Derke
Prime vandal: Sheydos
man woke up and said "lets farm some death threats!" kek
Giants were in a single elim bracket. It's not rational to give the same punishment in the same manner for a totally different situation. If they applied the same punishment to Giants as here, they would've been eliminated from VCT. Whereas VK still have the lower bracket to qualify through.
Now I still think rematch for Breeze is the optimum solution. But whether that can be arranged is another question altogether.
disaster strikes
Yes I agree that it should have been paused then, but they didn't note it so the problem is partly on the refs and partly on Keyd.. Now as to the severity of the punishment that can be contested. I don't know if the punishment they chose is the best decision.
Because it wasn't pointed out to the refs during the game. The same thing happened with the Giants cam exploit, they only made the ruling after the game when players complained publicly.
https://www.reddit.com/r/ValorantCompetitive/comments/oaxkpq/game_breaking_cypher_cam_abuse_in_vct/
there was no exploit by furia, the problem was the fact that riot started the investigation when they had the momentum only to find out it's legal.. but it's a seperate issue
mike tweeted about covid infections already
edit: could be prior infection causing problems, not new infections necessarily https://twitter.com/hastr0/status/1467117090398253056
to tie it in, this could be the primary reason for why acend - nv got cancelled? weird coincidence how riot are supposedly "reconsidering" a decision they've already made..
the way people are talking is like someone died.. very strange
why the vagueposting.. can they actually provide anything of substance to their complaints
it would only be fitting if acend lose here and get the fair and square rematch with VK... but I'm also curious to witness the BR community reaction to acend winning here
Not too bad so far indeed. Let me try to illustrate.
I made a basic 0-1 loss function and ran kernel density estimates for three ACS distributions(prior,predictions,random). I also plotted the mean error of three methods over all the players with mean error being the absolute difference between the true ACS and predicted, random & lifetime ACS.
Kernel Density Estimates: https://i.imgur.com/xO8Kf9S.png
The kernel density estimates show, that your prediction distribution is overall closer to the true distribution, than the distribution of prior ACS. At least so far. The random ACS distribution is close in spread to the true ACS distribution, but shifted, because it is literally just 81 random values from 150-300.
0-1 loss function:
Predictions correct Truth Predicted Prior Absolute difference from truth(pred,prior)
0/1 233.0 280 267 (47.0, 34.0)
1/2 266.0 275 269 (9.0, 3.0)
1/3 228.0 271 277 (43.0, 49.0)
2/4 266.0 270 262 (4.0, 4.0)
3/5 251.0 259 248 (8.0, 3.0)
3/6 287.0 255 249 (32.0, 38.0)
3/7 148.0 246 236 (98.0, 88.0)
4/8 227.0 245 230 (18.0, 3.0)
5/9 244.0 245 240 (1.0, 4.0)
6/10 230.0 245 249 (15.0, 19.0)
6/11 165.0 241 270 (76.0, 105.0)
7/12 234.0 240 230 (6.0, 4.0)
7/13 183.0 238 226 (55.0, 43.0)
8/14 226.0 235 232 (9.0, 6.0)
8/15 209.0 234 245 (25.0, 36.0)
8/16 193.0 233 245 (40.0, 52.0)
9/17 250.0 231 218 (19.0, 32.0)
9/18 204.0 230 210 (26.0, 6.0)
9/19 286.0 230 239 (56.0, 47.0)
9/20 179.0 230 224 (51.0, 45.0)
9/21 163.0 229 214 (66.0, 51.0)
10/22 217.0 226 246 (9.0, 29.0)
10/23 203.0 225 215 (22.0, 12.0)
10/24 199.0 225 232 (26.0, 33.0)
10/25 167.0 223 212 (56.0, 45.0)
10/26 185.0 223 198 (38.0, 13.0)
10/27 197.0 221 224 (24.0, 27.0)
11/28 233.0 220 208 (13.0, 25.0)
11/29 178.0 220 220 (42.0, 42.0)
11/30 177.0 219 201 (42.0, 24.0)
11/31 175.0 219 217 (44.0, 42.0)
11/32 249.0 219 202 (30.0, 47.0)
11/33 248.0 218 212 (30.0, 36.0)
11/34 185.0 215 215 (30.0, 30.0)
11/35 173.0 215 220 (42.0, 47.0)
11/36 246.0 214 225 (32.0, 21.0)
12/37 216.0 214 216 (2.0, 0.0)
13/38 224.0 214 225 (10.0, 1.0)
14/39 210.0 213 229 (3.0, 19.0)
15/40 195.0 211 238 (16.0, 43.0)
15/41 291.0 210 254 (81.0, 37.0)
15/42 258.0 205 219 (53.0, 39.0)
15/43 185.0 205 228 (20.0, 43.0)
15/44 226.0 202 194 (24.0, 32.0)
16/45 213.0 201 213 (12.0, 0.0)
16/46 171.0 196 214 (25.0, 43.0)
17/47 197.0 195 230 (2.0, 33.0)
17/48 241.0 195 237 (46.0, 4.0)
18/49 176.0 194 215 (18.0, 39.0)
18/50 171.0 192 197 (21.0, 26.0)
19/51 207.0 190 206 (17.0, 1.0)
19/52 216.0 188 189 (28.0, 27.0)
19/53 143.0 187 216 (44.0, 73.0)
19/54 238.0 187 201 (51.0, 37.0)
19/55 159.0 187 215 (28.0, 56.0)
19/56 165.0 186 187 (21.0, 22.0)
19/57 264.0 186 227 (78.0, 37.0)
19/58 143.0 184 217 (41.0, 74.0)
20/59 172.0 184 204 (12.0, 32.0)
21/60 190.0 183 231 (7.0, 41.0)
21/61 138.0 181 206 (43.0, 68.0)
22/62 182.0 180 187 (2.0, 5.0)
22/63 127.0 179 181 (52.0, 54.0)
22/64 136.0 178 172 (42.0, 36.0)
22/65 252.0 178 205 (74.0, 47.0)
23/66 170.0 177 208 (7.0, 38.0)
24/67 163.0 175 172 (12.0, 9.0)
25/68 157.0 175 185 (18.0, 28.0)
26/69 168.0 175 191 (7.0, 23.0)
26/70 195.0 172 196 (23.0, 1.0)
27/71 175.0 171 191 (4.0, 16.0)
27/72 194.0 170 196 (24.0, 2.0)
27/73 202.0 170 213 (32.0, 11.0)
27/74 243.0 169 188 (74.0, 55.0)
28/75 149.0 165 191 (16.0, 42.0)
28/76 206.0 165 181 (41.0, 25.0)
28/77 139.0 165 182 (26.0, 43.0)
28/78 135.0 165 200 (30.0, 65.0)
29/79 164.0 165 194 (1.0, 30.0)
29/80 108.0 160 178 (52.0, 70.0)
30/81 157.0 145 167 (12.0, 10.0)
Total prior err = 2582.0 Total pred err = 2436.0 Total rand err = 4183.0
Average prior err = 31.88 Average pred err = 30.07 Average rand err = 51.64
Correct predictions(pred): 30/81 = 37%
Correct predictions(prior acs): 24/81 = 29%
Correct predictions(random): 17/81= 20%The basic premise with the 0-1 loss function is categorizing whether a prediction is correct or not based on whether it's within 20 ACS of the true ACS.
It shows that you made 6 more predictions classified as "correct" compared to lifetime ACS. And 13 more correct predictions compared to random ACS.
Mean error over players: https://i.imgur.com/hX36fpS.png
It shows that the mean errors of prior ACS are similar to ones from your predictions and that the mean error of random ACS approaches 50. I refrain from hypothesis testing here as these are averages of averages, the purpose is just to illustrate how well you are doing in relation to lifetime acs as a predictor and random acs as a predictor.
trembolonarage was right
it was riots timeout
Oh you're from the US? Name every street in the US.
i hedged my bets.. if fnatic lose, my pickem would be correct... if fnatic win, i'm happy because they won... 5head
Brother, they had many opportunities to close out, at least three rounds came down to individual chokes.. Still it aint a choke because they closed it out in the end.
I cant believe it.. They actually won. Even I didn't believe it, but they made me believe with their actions.
something is wrong... there is literally no shot they lose with 4 ult advantage and doma is literally saving his ult for OT wtf lmao
fnatic clearly prepped.. look at this fracture play
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