obs will not eat my internet
obs will not eat my internet
obs will not eat my internet
Account Details | |
---|---|
SteamID64 | 76561198050806384 |
SteamID3 | [U:1:90540656] |
SteamID32 | STEAM_0:0:45270328 |
Country | United Kingdom |
Signed Up | January 15, 2015 |
Last Posted | April 5, 2024 at 5:18 AM |
Posts | 76 (0 per day) |
Game Settings | |
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In-game Sensitivity | 1.73 |
Windows Sensitivity | 6/11 |
Raw Input | 1 |
DPI |
800 |
Resolution |
1920x1080 |
Refresh Rate |
60 |
Hardware Peripherals | |
---|---|
Mouse | Razer Deathadder Essential |
Keyboard | Redragon K530 |
Mousepad | Corsair MM100 |
Headphones | Razer Nari Essential |
Monitor | ASUS VP228 |
Forty-BotThis will give incorrect results. You need to use respawns and not deaths, since you always respawn at the start of each round. Unfortunately, this is not recorded by logs.tf. Really, the only way to fix this would be to use an alternative parser.
Just had a look at a log file (link, vod) and it turns out neither of us are right - it almost measures the time between spawning and healing damage (ie not just buffing someone on rollout) but that doesn't seem to be what it's actually doing. Looking for
"4.T Domo<3><[U:1:96525192]><Blue>" triggered "first_heal_after_spawn"
and working backwards, we see that on the first mid, it took Domo 20.1s to trigger this (healing toemas). Before that happened, he buffed players from full health to rollout, healed papi from his pocket rollout, then at mid papi took damage and was healed (though not enough damage to remove his buff). Finally, toemas took damage from the other team, taking him below full health, and was healed by Domo to trigger the log event.
I've not checked in this detail on other logs, but this suggests "Average time before healing" is time before healing damage done by the other team to take a player below full health, and as such is not only difficult to reverse engineer but also mildly pointless.
Forty-BotSome stats are not displayed. Medic stats like "average time before healing" are not displayed because it is impossible to display them accurately for multiple logs.
Fwiw you can get this by multiplying avg time before healing by deaths for each log, to get total time, then add this up and divide by total deaths.
that fifth map is one to be rewatching for a long long time
ETF2L's API accepts ID1, so you can convert ID3 to that using 24's link then get (some) player names from that
GazbruhGazy of FAINThttps://i.imgur.com/5roMnJk.gif
u saw nothing ;)
mimkybsiani think i just filtered for 6s matches
So for some reason in log files certain medigun names are listed as "unknown". Could be a logs.tf API bug, might happen whenever someone is using a modified medigun (re-skin, australium, festive, etc.). Every medigun in your log files was named "unknown" so there was no way of differentiating between uber and kritz. The bug has been fixed now, but unfortunately uber and kritz charges have been merged into one number.
Download link updated.
FWIW all "unknown" mediguns are ubers, it was a problem with certain medigun skins
edit: now fixed but that doesn't help past logs
TFNew are also running a team drive - for more info see their thread
Zolakdont know if that's a conscious decision on your part or not but i think instead of downloading and extracting the logfile you could just have just made a request to the logstf api to retrieve the needed info
the api doesn't give you times for anything, it's the pre-parsed data that you see on screen
to get ticks you need the raw file with events, which is what you get when you DL it
After the group stage we will be doing another article so if we missed any team that's doing well they'll be covered there
Opti_you should probably specify which scout is pocket and which is flank when you are listing the lineups. You're doing it for the soldiers and the scout differentiation is probably as important.
Probably related but the order in which you list the scouts on the beautiful stats summary picture isn't consistent since 2 flank scouts are listed first (ixy/yeehaw) and 2 pocket ones are listed second (neo/voxtec). I really liked this summary though, it adds a lot to the article.
this will come when we roll out our new and improved stats system, which should have happened last month
logs are irrelevant and not worth looking at, they're not a good measurement of your performance ingame and not something you can use to help improve - it'd help more to watch your demos in scrims/officials
_flacIm trying to use pythons matplatlib, which I havent used in years, so its not the best. More and better graphs to come!
I don't suppose that's got anything similar to ggplot's facet_wrap? Might be an idea to help present stuff like sensitivity by class
I don't suppose it's possible to get a breakdown of this by class? That distribution looks about right, but it'd be interesting to see how it varied for demos compared to scouts, say