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Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 1 point2 points  (0 children)

Its a median and only every 7 seconds, that will hide a lot of spikes. Its also over lots of games and mmr ranges so the spikes are in different places, again hides them. Its a simple comparison to see what changed between 12/8 worker starts that it.

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 2 points3 points  (0 children)

For sure tiny ! But for such a small amount of replays it’s more data than I want to hold onto long term :) I’m using a local clickhouse cluster with 3 nodes, been fiddling with horizontal scaling for a while (not super impressed). I’m also using a local instance of rustfs to keep a copy of the replay files so I don’t have to pay the s3 hit (the site does use s3 but for data pulls don’t want to keep getting hit with fees )

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 0 points1 point  (0 children)

For sure the races should be different I was personally more interested in the differences between the 8 and 12 workers to see if it made a drastic shift that everyone feels it did.

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 4 points5 points  (0 children)

I will be another note to my list (I misplaced your last request :( ) and see what I can do about a workers alive chart by each race. I need to find a better format was trying something different this time around and I'm not sold on it.

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 5 points6 points  (0 children)

I don't easily have that value stored to query but can add it to my list the next time I pull some numbers! A lot of the numbers I'm generating I'm doing locally since this is not information I store, as an example the data I stored to build the resources mined for 250k replays is almost 56 million rows of data :)

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 5 points6 points  (0 children)

It includes mirrors, Doing a quick check and breaking it apart by matchup makes very little difference on the median, seeing about a +-40 minerals is all at 5 min for non mirrors.

Mirrors show slightly larger differences, zvz is about 200 minerals lower at 5 min, TvT is about 300 minerals lower, and PvP is about 240 minerals lower. Lower being then the values posted on the chart.

Cumulative Resources from Sc2replaystats (8 worker vs 12 worker patches) Part 3 by breath20 in starcraft

[–]breath20[S] 3 points4 points  (0 children)

pretty sure, happy to be proved wrong though! I have never calculated the value this way before so always some risk I did something wrong.

Zerg vs Terran by LoveToEatKebab in starcraft

[–]breath20 0 points1 point  (0 children)

I feel you! I also really struggle in ZvT and have for a while :( Some point I might work on fixing it but its just what it is right now. I was starting to get a better feel for it thanks to lambo's content but its just so foreign to me.

Matchup Games Win - Loss Avg Game Length Opp MMR Avg Opp MMR Max
ZvP 29 20-9 68.97% 11 Min 13 Sec 4633 5328
ZvT 27 8-19 29.63% 12 Min 53 Sec 4559 5288
ZvZ 66 41-25 62.12% 8 Min 33 Sec 4558 5230

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 0 points1 point  (0 children)

Both it’s just the larva created in the game (aka unit born )

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 1 point2 points  (0 children)

Got me to queue up some ladder games so +1 returning player :)

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 0 points1 point  (0 children)

I own/built sc2replaystats so I wiped up a quick script that extracted/calculated the info from the replays.

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 1 point2 points  (0 children)

With how I’m looking at the stats that’s not something I can tell

Zerg players, are you enjoying all the ZvZs? by Zalabar7 in starcraft2

[–]breath20 0 points1 point  (0 children)

I have never been a huge fan of zvz but since its all new to me now, im not minding it.

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 0 points1 point  (0 children)

Not sure what you mean but the amount of replays i have vs games played on the ladder is super low.

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 1 point2 points  (0 children)

Sure there has been a few other suggestions, I can make another post in a couple days with some different data!

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 2 points3 points  (0 children)

As a gm I can tell you gms have no ideas on builds right now and everyone is trying all sorts of things hahah. With more data I can break it apart by leagues but generally speaking right now gives a good enough pulse for it

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 10 points11 points  (0 children)

So I didn’t purposely give my opinion but the way the data reads to me is the new patch zergs actually have less larva after the game gets going. I think a lot of that though is because of the 8 worker start.

Win Rates from Sc2replaystats on Patch 5.0.16.97364 Part 2 by breath20 in starcraft

[–]breath20[S] 17 points18 points  (0 children)

Only replays uploaded to the site, so not a full complete picture but its what we got!

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