Pokémon Go: a 0xGG Journey to Level 40 Twice Over

Still zero money spent. Still zero third-party apps. Still 0xGG.

0. Contents [topp]

0. Contents [topp]
1. Introduction and General Statistics [ints]
1a. Preface [egbd]
1b. Level 40 Again [eity]
1c. General Statistics [gens]
2. Gym Statistics [dazz]
2a. Gold Gym Timeline [psyc]
2b. Stats per Gym [hype]
3. Notes [gbdf]
3a. Maintenance of Established Goals and Play Style [zer0]
3b. Thoughts on the Current Gym Coin Reward System [$$$$]
3c. MILOTIC IS SO BEAUTIFULLLLLLLLL [^_/~]
3d. Raid Optimization [3553]
3e. Espeon [4eon]
3f. Cars [4to5]
3g. Squirtle Community Day at Tufts University [shvl]
3h. Screenshots of Notable and Funny Moments [pics]
4. Thoughts on New Gameplay Elements [argh]
4a. Intricacies and Curiosities in Weather [boom]
4b. Nothing Good About It: Utterly Perverting the Concept of Friendship [xxxp]
4c. Devaluation of Rarity [unon]
5. Other Statistics [##%%]
5a. Bag Contents [brry]
5b. Most Represented Pokémon Species by Total CP [++cp]
5c. Catch Rates [%cch]

1. Introduction and General Statistics [ints]

1a. Preface [egbd]

Due to a variety of factors, this is a ridiculously long post, and also took me a ridiculously long time to write (even more the latter, due to factors like getting sick over the course of writing this post). In fact, while writing this post, I’ve earned another over 4.4 million XP above two Level 40s worth of XP, or in other words, almost as much as where I’d make the next post given my pattern (every 5 million XP) so far.

IMG_3409

As such, I will not make a 45 million XP update, and I might not even make a 50 million XP update. If I decide to opt out of the latter, see you again at Level 40 times 3, at 60 million XP.

Like my Level 40 post, this post will contain not only the usual deluge of tables and charts, but also plenty of thoughts and opinions on the game (sections 3 and 4).

Use the bracketed entities in section headers with Ctrl+f to quickly navigate to the section you wish to read.

1b. Level 40 Again [eity]

At 1858 on 09-19 (2 minutes before ESP worksession!), I reached 40000000 XP, via spinning the PokéStop for the Alchemist at MIT gym, just southeast of the MIT SIPB PokéStop, the first Stop I spun and the Stop that took me to Level 40. Since Level 40 comes at 20000000 XP, I’ve now accumulated two Level 40 equivalents in XP.

Since that was Day 754 of me playing Pokémon Go, and I reached Level 40 on Day 543, the second 20 million XP took me 211 days.

Here’s a chart of XP over time.

main

1c. General Statistics [gens]

Here’s a table of general statistics at 12 snapshots in time so far.

general_table

Here’s a comparison of the change in quantity of these statistics over the second 20 million XP versus over the first 20 million XP, both in total and normalized per day. Note that Berries Fed at Gyms, Hours Defended at Gyms, Raids Won, and Legendary Raids Won are statistics not available for increasing for much of the timespan of the first 20 million XP.

general_comparison_table

Here’s this data as a couple of charts.

general_chart_1

general_chart_2

Here’s a table of total catches per type at these snapshots.

type_table

Here’s that as a chart.

type_distr_chart

Upon level up, all of my Pokémon were fully healed. My six strongest by CP:

Kyogre (CP 3760)
Groudon (CP 3696)
Slaking (CP 3682)
Tyranitar (CP 3670)
Mewtwo (CP 3622)
Ho-Oh (CP 3613)

Continue reading “Pokémon Go: a 0xGG Journey to Level 40 Twice Over”

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Pokémon Go: Stats at 35 Million XP

This August 11 (Day 715 of playing), I won a gym battle to reach 35 million XP.

Here’s a chart of XP versus time at level-ups starting with Level 29 and every 5 million XP after level cap.

xp

My buddy at the moment was Chansey.

Gold Gyms

Day numbers in this section reflect days since the motivation-based gym system began.

#1: Alchemist at MIT, on Day 28

#2: Transparent Horizon, on Day 53
#3: Kresge Auditorium, on Day 54

#4: Vine Wall Art At No 6, on Day 82
#5: In Memory of Dorothy P. Simmons, on Day 94
#6: Cosmic Ray Chandeliers, on Day 102

#7: Community of Cambridge Super Awesome Mural!, on Day 137 [removed gym]

#8: Officer Sean Collier Memorial and Plaque, on Day 173
#9: DeWolfe Boathouse, on Day 190
#10: Martin Annis Crossing, on Day 191

#11: Smoot Plaques on Mass Ave Bridge, on Day 213
#12: Miracle of Science, on Day 227
#13: Fort Washington, on Day 241

#14: This is Where We Live Work Create Mural, Day 259
#15: Column of Faces, Day 265

#16: Jimmy Johnson Street Hockey Court, Day 288
#17: Not Art, Day 295
#18: The Apple Tree at MIT, Day 295

#19: Police Memorial, Day 342
#20: Putnam School, Day 351

#21: Danny Lewin Park, Day 387
#22: Cambridge Public Library – O’C, Day 387
#23: Flapper Mermaid, Day 388
#24: Dewey Library, Day 394
#25: Polygon Rope Gym, Day 398
#26: Vellucci Fountain at Cambridgeside Galleria, Day 399

Gym Stats

Here’s a table of my stats at my top gyms. The three columns from left to right are battles won, hours defended, and berries fed.

Orange highlighting indicates where hours defended alone is enough for a gold badge (≥500).
Magenta highlighting indicates where berries fed alone is enough for a gold badge (≥3000).
Tan highlighting indicates where hours defended and berries fed together are enough for a gold badge.

top_gyms

General Statistics

general

general_2

general_3

Catch Statistics

Here are my catch statistics for all non-legendary species for which there is no earlier evolution with an earlier Pokédex number. Apparently last time I did this I left out Machop, Bellsprout, and Lapras. My apologies to them; please don’t hurt me. They’re included this time.

species_catch_rates

Here’s my catch statistics for legendary Pokémon.

Mewtwo: 5/5=100.0%
Mew: 1/1=100.0%
Registeel: 1/1=100.0%

Moltres: 5/6≈83.3%

Articuno: 9/13≈69.2%
Zapdos: 10/15≈66.7%
Entei: 3/5=60.0%

Ho-Oh: 7/16≈43.8%
Kyogre: 9/21≈42.9%
Rayquaza: 10/24≈41.7%
Regice: 5/12≈41.7%
Raikou: 4/11≈36.4%
Latias: 1/3≈33.3%
Groudon: 3/10=10.0%

Latios: 2/11≈22.2%
Lugia: 3/16≈18.8%

Suicune: 0/5=0.0%

Here’s a table and chart over time for common species.

common_catch_table

catch_chart

Pokémon

Here’s my strongest Pokémon by CP upon reaching 35 million XP.
Groudon (CP 3696)
Slaking (CP 3682)
Tyranitar (CP 3670)
Mewtwo (CP 3622)
Ho-Oh (CP 3613)
Tyranitar (CP 3612)

(Strongest Pokémon upon reaching 30 million XP)
Tyranitar (CP 3670)
Groudon (CP 3668)
Tyranitar (CP 3604)
Tyranitar (CP 3587)
Ho-Oh (CP 3585)
Rayquaza (CP 3582)

This time, like last time, I actually had quite a few Pokémon not at full health (or even fainted) when I reached this milestone, but this time, it was because I just finished a gym battle.

Bag Contents

Finally, how’s the state of my bag as I reach XP milestones?

bag_contents

bag_contents_chart

Between reaching 30 million XP and reaching 35 million XP, I’ve peaked above 400 of each of Max Potions and Golden Razz Berries briefly.

Pokémon Go: Stats at 30 Million XP

This July 07 (Day 680 of playing), I completed a raid to reach 30 million XP.

Here’s a chart of XP versus time at level-ups and every 5 million XP after level cap.

xp

My buddy at the moment was Tyranitar.

Gold Gyms

Day numbers in this section reflect days since the motivation-based gym system began.

#1: Alchemist at MIT, on Day 28

#2: Transparent Horizon, on Day 53
#3: Kresge Auditorium, on Day 54

#4: Vine Wall Art At No 6, on Day 82
#5: In Memory of Dorothy P. Simmons, on Day 94
#6: Cosmic Ray Chandeliers, on Day 102

#7: Community of Cambridge Super Awesome Mural!, on Day 137 [removed gym]

#8: Officer Sean Collier Memorial and Plaque, on Day 173
#9: DeWolfe Boathouse, on Day 190
#10: Martin Annis Crossing, on Day 191

#11: Smoot Plaques on Mass Ave Bridge, on Day 213
#12: Miracle of Science, on Day 227
#13: Fort Washington, on Day 241

#14: This is Where We Live Work Create Mural, Day 259
#15: Column of Faces, Day 265

#16: Jimmy Johnson Street Hockey Court, Day 288
#17: Not Art, Day 295
#18: The Apple Tree at MIT, Day 295

#19: Police Memorial, Day 342
#20: Putnam School, Day 351

Gym Stats

Here’s a table of my stats at my top gyms.

Orange highlighting indicates where hours defended alone is enough for a gold badge (≥500).
Magenta highlighting indicates where berries fed alone is enough for a gold badge (≥3000).
Tan highlighting indicates where hours defended and berries fed together are enough for a gold badge.

top_gyms

Continue reading “Pokémon Go: Stats at 30 Million XP”

Meta: A Month of Many Records

This past June has been an incredibly successful month on this blog in views, mostly due to this post. It was simultaneously the month with the most views so far and the month with views from the greatest number of different WordPress-recognized countries.

For 27 different countries—the United States, Canada, Guatemala, Venezuela, Peru, Bolivia, Botswana (trivial case), Iceland, Norway, Finland, Denmark, France, Belgium, the Netherlands, Germany, Austria, Hungary, Romania, Bulgaria, Russia, Vietnam, Singapore, Malaysia, Indonesia, Australia, New Zealand, and Fiji—this was the month of the most views so far. For many other countries, this was the month of the second most.

73cl_june

Another record this month interestingly set: the lowest percentage of views coming from the United States of any month so far, at only 51.4%.

views_from_usa

Guessing Populations

I decided to sit down and guess the current populations of (a) each US state and (b) each sovereign country. Given how often I work with this sort of data, I’d expect to be pretty good at this by now. I think I definitely did do pretty well, at least for the US. Below’s a map summary of results of where my guesses landed, although, of course, if you wish to try this yourself, you should probably not continue reading yet.

usa_guess

North Dakota turned out to be the state for which I most overestimated the population, at 131% of the actual population. I attribute this to overconsidering the effect of its recent boom. I’m not sure how to explain how I underestimated Connecticut’s population so substantially; it was the extreme in the other direction, at 61% of the actual population.

countries_guess

I was really, really shocked when I consulted the list of actual populations and found out Madagascar was over 6 times as populous as I guessed it would be. Kuwait was a mighty surprise too. The most populous country that I failed to guess the population to within 80% to 125% of the actual was Argentina.

Interestingly, my knowledge that Bahrain was ridiculously densely populated didn’t end up actually helping me, because I had no good mental estimator of how large Bahrain as an island was anyway.

Geographical Leaders in 8 Different Stats in Pokémon Go

This post consists of 16 charts, showing the top 12 countries and the top 12 cities in 8 Pokémon Go statistics: XP, Distance Walked, Pokémon Caught, Trainings, Battles Won, Berries Fed, Hours Defended, and Legendary Raids Won, as measured by the sum of the quantities of the top 25 players in the country or city, according to the last release of TL40 leaderboards. I used a convention that for a player whose statistic is “Not Disclosed”, I used the number for the next highest player that isn’t “Not Disclosed”, and if there isn’t such a next highest player with quantity disclosed, I used “0”.

Country Leaderboards

country_xp

country_distance

country_pokemon

Continue reading “Geographical Leaders in 8 Different Stats in Pokémon Go”