| Website | https://www.jacquietran.com |
| Generative art | https://art.jacquietran.com |
| GitHub | https://github.com/jacquietran/ |
| Twitch | https://twitch.tv/jacquietran |
Jacquie
@jacquietran
- 323 Followers
- 260 Following
- 320 Posts
gradients but make it a little weird 💁♀️
gradient studies 143 > 144 > 150 > 152
alt text: the images are outputs from generative art, created using the R programming language. each image has 4 brightly coloured rectangular shapes on a dark grey background. the rectangles are slightly offset from one another, with some areas of overlap where their colours and grainy textures interact.
Incredible knock from Grace Harris overnight! The UP Warriorz were looking wobbly when she arrived at the crease at 4/86, chasing 170 to win.
The first half of her innings was circumspect - then suddenly, she went into overdrive 🏏💥
First 15 balls = 17 runs
Last 13 balls (incl. 3 extras faced) = 42 runs
MOAR #T20WorldCup data vis!
Sportradar records XY coordinates for where balls pitch. While the data is nowhere near as rich as available from Hawkeye tech (used routinely in men's comps, ofc), it's still more than what I've seen for women's cricket before - progress!
Pitch maps for Aussie fast bowler Darcie Brown from the recent World Cup. I'm so impressed by this young player whose game is maturing rapidly.
#WPL cricket kicks off tonight! Still enjoying data explorations from the #T20WorldCup with a focus on bowling performances.
I compared the semi-final teams on number of balls bowled to take each wicket in their World Cup matches.
Australia's strike rate for wickets 1 and 2 is notably lower than for England and India, although South Africa's strike rates are comparable.
The upshot: when bowling, the Aussies typically took 1-2 wickets in the Powerplay.
Revisiting past work, now with polar coordinates. I kinda love it.
As @georgemsavva rightly pointed out, it's a bit hard to score more when batting second in cricket, so the headline of "batting first paid dividends" on my last vis is a bit..."well, duh" 
I blame the 2 AM wake up for my brain errors!
Here's another look at scores by innings data: the median winning target in #T20WorldCup matches was 162 runs, while teams that set targets around the 120-run mark were typically chased down.
Still hyped from Australia's #T20WorldCup win, even as tired as I am after staying up through the night to watch from all the way over here in Aotearoa - worth it! 💤
Reflecting on a great tournament by getting to know the Sportradar cricket data in more detail.
Teams scored more when batting first vs. batting second. There's a few different ways I could represent this data, which I'll play around with when I'm not exhausted haha...
Not long until the 1st ball of the #T20WorldCup final - fizzing!
I happened across heaps of cricket data via Sportradar 
Across the tournament, South Africa have saved 2 more runs, but the Aussies have been more clinical with catching & run outs*.
Could small margins matter in the final?
* Sportradar haven't specified definitions for "catches dropped" and "run outs missed", but I assume consistent use within the same data set.
1st semi-final of the #T20WorldCup was a knife fight - messy and enthralling. With the host nation South Africa featuring in the second semi against England, theatre is a possibility again although not guaranteed.
South Africa have scrapped their way into the knockout stages, while England have got there with relative ease. Their comparative scoring rates suggest that England could take the game away quite quickly.
