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.

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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”

Pokémon Go: Days 550 to 600

Shortly after reaching Level 40 in Pokémon Go on my 543rd day of playing, I decided to track 6 statistics on a one-update-a-day basis for 50 days. The raw cumulative data is available here, along with some Ingress stats. Here’s a chart of totals per approx-day over this period.

stats_chart

Notably, Pokémon Caught and Gym Berries Fed seem to be the most correlated statistics. This actually makes sense given that both are statistics correlated with ample consistent play (the latter due to berry limits).

Over this period of time, my Battles Won and Hours Defended stats tracked remarkably close to each other, cumulatively.

battles_vs_hours

Note that this is actually extremely unusual: for most Level 40 trainers, hours defended vastly exceeds battles won. The ratio is nearly 1 for me mainly due to gym activity mostly being in the blisteringly-high-turnover grounds of the MIT area.