so close
Account Details | |
---|---|
SteamID64 | 76561198038988384 |
SteamID3 | [U:1:78722656] |
SteamID32 | STEAM_0:0:39361328 |
Country | India |
Signed Up | August 23, 2014 |
Last Posted | December 23, 2022 at 8:32 AM |
Posts | 597 (0.2 per day) |
Game Settings | |
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In-game Sensitivity | 1.5 |
Windows Sensitivity | |
Raw Input | 1 |
DPI |
1400 |
Resolution |
1600x900 |
Refresh Rate |
60 Hz |
Hardware Peripherals | |
---|---|
Mouse | Logitech G90 |
Keyboard | Cherry MX Blue thing |
Mousepad | |
Headphones | |
Monitor |
MightyI heard that b4nny got an insane DPM on Reason vs Froyo...
can't wait to see that one!
updated
Stats for the first 2 games have been updated: https://i55stats.github.io/
uberchain you're the best
Stream is going to go nuts when they see a fully suited sideshow
fatswimdudeis there a way to do damage per heal? that's always the most interesting stat IMO.
done
https://i.imgur.com/6XrKpzi.png
EDIT: Typo, "Dealt" should have been "Delt"
I just got the i55 post on r/tf2 stickied, hopefully, this should get us some more views :)
Reminder, I'll be keeping a graph of per-player stats at i55stats.github.io, pls gib feedback here: tf.gg/28373/
Xonedaverage airshots counter please
done
https://raw.githubusercontent.com/i55stats/i55stats.github.io/master/as.png
(2 matches played by nerdRage, 2 by TLR, and 4 by [R]eason)
I'll be keeping a track of per-player stats of all i55 matches involving the top 5/6 invite teams at https://i55stats.github.io/
These stats will be normalized over the number of matches played by the player.
Currently graphed stats are:
- AIRSHOTS per match
- DPM per match
- Damage per match
- Kills per match
In works:
- Heals
- Crossbow/Ubersaw Kills
- Headshots
- Anything else?
Gib Feedback.
Examples:
https://raw.githubusercontent.com/i55stats/i55stats.github.io/master/groups/dapm.png
randoI showed Bdondsky this thread. He is upset you spelled his name wrong.
good luck!!!!
> also the biggest prize pool for any game at Multiplay’s i55.
holy shit. Bobsplosion going huge
vtableThe player is HTML5. If they add Kappa then it's bye bye Twitch for me.
Twitch has an HTML5 player now too.
Given that computational biology has it's foundations in computer science, you should start with learning a bit of programming if you already haven't. I'd recommend Python, because it has an easy-to-use syntax, and resembles psuedocode, something that most books on algorithms use.
Here are some books you might find helpful:
- Introduction to Algorithms - The classic undergraduate text for CS 101
- Concrete Mathematics: A Foundation for Computer Science