Good Morning, evening, afternoon or whatever your time is.
Some of you might recognize if you followed the BH money tournament. That being said I'm sure most of you don't so I'll present myself.
Good (insert time of the day), I'm Eelstartega, a very quirky (not in a cute way btw, in the slightly worrisome way) Chilean data analysis entusiast who loves to talk about a game they're currently in, is way too good at leaving an impression on people and wants to help people to understand how the meta goes.
Why I'm doing this registers of the tournament? Well, I think I said it, entusiasm for data analysis and just want people to get the benefits of the fact there's available if you investigate, and I feel helping others is the best way I have to get friends, because despite my lifestyle and awkwardness I'm not an introvert at all, I just don't like the groupal disorder.
But that's enough of me, I'm here to talk about this tournament and the many pokémon that were present during the first week. Before doing this I think I should clarify some stuff
With that now visible now we can move to what I like to call...
Weekly data spotlight
And... that would be it. I don't have much more to say outside I was indeed part of the tournament but got disqualified round 1 due to both bad planning and bad RNG; seriously, there's few things more frustrating than getting that your opponent will use Psychic fangs, tera your Arceus out of the poison type so it will survive, and die anyways due to a random crit. Oh, and this took me like 12 hours of work, including working up until 4 AM, so my head hurts; I told you my passion for data analysis is strong. Normally here I would add links to the previous weeks but... It's the first one, so there's nothing.
Farewell and I think I'll faint on my bed after this, It was exhaustin...
AND ALL OF IT FOR NOTHING... oh wait, she did made a mistake. I think I'll need to talk with a fairy after this. Hope it turns out well.
PS: Didn't knew A Fairy was a girl... Cool to see, especially considering what happened certain other girl in the past; that being said Pokémon tends to attract both girls and boys almost equally, even if for different reasons. Also, minor edits and the talk I mentioned ended up in a sucess.
Some of you might recognize if you followed the BH money tournament. That being said I'm sure most of you don't so I'll present myself.
Good (insert time of the day), I'm Eelstartega, a very quirky (not in a cute way btw, in the slightly worrisome way) Chilean data analysis entusiast who loves to talk about a game they're currently in, is way too good at leaving an impression on people and wants to help people to understand how the meta goes.
Why I'm doing this registers of the tournament? Well, I think I said it, entusiasm for data analysis and just want people to get the benefits of the fact there's available if you investigate, and I feel helping others is the best way I have to get friends, because despite my lifestyle and awkwardness I'm not an introvert at all, I just don't like the groupal disorder.
But that's enough of me, I'm here to talk about this tournament and the many pokémon that were present during the first week. Before doing this I think I should clarify some stuff
- Profile: Image who tries to represent the subject in question. Not always 100% accurate.
- Pokémon: Name of specie or variant of said specie.
- Usage: The amount of times something was used.
- Usage | of variant %: It's on percentage usage compared to the total of either teams or the specie in question.
- Net winrate: The amount of wins the pokémon bringed on compared to the loses it had. I feel this one can reflect better meta trends and how impactful or detrimental they can be... But it takes hours to get.
Profile | Pokémon | Usage | Usage | of variant % | Net winrate (Wins - Loses) |
---|---|---|---|---|
| Arceus | 276 | 66.82% | +14 |
Arceus-Fire Arceus-Grass Arceus-Poison Arceus-Dark Arceus-Dragon Arceus-Psychic Arceus-Bug Arceus-Ice Arceus-Fighting Arceus-Rock | 95 51 49 45 20 9 3 2 1 1 | 22.20 | 34.42 % 11.92 | 18.48 % 11.45 | 17.75 % 10.51 | 16.30 % 4.673 | 7.246 % 2.103 | 3.261 % 0.701 | 1.087 % 0.467 | 0.725 % 0.234 | 0.362 % 0.234 | 0.362 % | -13 +7 +9 +5 +8 +1 -1 0 -1 -1 | |
Magearna | 258 | 60.28 % | +6 | |
| Zacian-Hero | 193 | 45.09 % | +13 |
Cyclizar | 120 | 28.04 % | -14 | |
| Palkia | 115 | 26.87 % | +3 |
Palkia-Origin Palkia-Normal | 102 13 | 23.83 | 88.70 % 3.037 | 11.30 % | +2 +1 | |
Dialga | 108 | 25.23 % | +10 | |
Dialga-Normal Dialga-Origin | 90 18 | 21.03 | 83.33 % 4.206 | 16.67 % | +12 -2 | |
Palafin | 86 | 20.09 % | -16 | |
Rillaboom | 82 | 19.16 % | -8 | |
Landorus-Incarnate | 75 | 17.52 % | -1 | |
| Ursaluna | 69 | 16.12 % | -3 |
Ursaluna Ursaluna-Bloodmoon | 40 29 | 9.346 | 57.97 % 6.776 | 42.03 % | ||
Sneasler | 68 | 15.89 % | -2 | |
Dragapult | 65 | 15.19 % | +7 | |
Gholdengo | 61 | 14.25 % | +1 | |
Chi-Yu | 58 | 13.55 % | +2 | |
Giratina-Altered | 55 | 12.85 % | +1 | |
Dondozo | 51 | 11.92 % | +15 | |
Garchomp | 49 | 11.45 % | +9 | |
Clefable | 45 | 10.51 % | -7 | |
Roaring Moon | 42 | 9.813 % | 0 | |
| Zamazenta | 42 | 9.813 % | -4 |
Zamazenta-Hero Zamazenta-Crowned | 26 16 | 6.075 | 61.90 % 3.738 | 38.10 % | -10 +6 | |
Garganacl | 37 | 8.645 % | +5 | |
Dragonite | 36 | 8.411 % | 0 | |
Volcarona | 33 | 7.710 % | +3 | |
Slowking-Galar | 33 | 7.710 % | -1 | |
Cinderace | 30 | 7.009 % | +10 | |
Blissey | 29 | 6.776 % | +3 | |
Spectrier | 28 | 6.542 % | -8 | |
Espathra | 27 | 6.308 % | -11 | |
Cresselia | 26 | 6.075 % | +6 | |
Corviknight | 25 | 5.841 % | -1 | |
Walking Wake | 25 | 5.841 % | -5 | |
Urshifu | 24 | 5.607 % | -12 | |
Urshifu-Single-Strike Urshifu-Rapid-Strike | 13 11 | 3.038 | 54.17 % 2.570 | 45.83 % | -7 -5 | |
Torkoal | 23 | 5.374 % | -1 | |
Hoopa-Unbound | 15 | 3.505 % | +1 | |
Moltres | 14 | 3.271 % | -4 | |
Alomomola | 13 | 3.037 % | +1 | |
Iron Moth | 13 | 3.037 % | +1 | |
Gothitelle | 11 | 2.570 % | +1 | |
Masquerain | 11 | 2.570 % | +1 | |
Meowscarada | 11 | 2.570 % | +1 | |
Donphan | 9 | 2.103 % | -1 | |
| Ninetales | 9 | 2.103 % | -1 |
Ninetales-Alola Ninetales | 8 1 | 1.869 % 0.234 % | -2 +1 | |
Quagsire | 9 | 2.103 % | +3 | |
Amoonguss | 8 | 1.869 % | -2 | |
Milotic | 8 | 1.869 % | +2 | |
Ogerpon-Wellspring | 8 | 1.869 % | -4 | |
Tornadus-Therian | 8 | 1.869 % | +4 | |
Klefki | 7 | 1.636 % | -3 | |
Baxcalibur | 6 | 1.402 % | -4 | |
Ceruledge | 6 | 1.402 % | +2 | |
Darkrai | 6 | 1.402 % | 0 | |
Mandibuzz | 6 | 1.402 % | +2 | |
Gastrodon | 5 | 1.168 % | -1 | |
Iron Valiant | 5 | 1.168 % | +3 | |
Tyranitar | 5 | 1.168 % | -3 | |
Heatran | 4 | 0.935 % | +2 | |
Houndstone | 4 | 0.935 % | -2 | |
Crawdaunt | 3 | 0.701 % | +1 | |
Enamorus | 3 | 0.701 % | -1 | |
Espeon | 3 | 0.701 % | -3 | |
Indeedee | 3 | 0.701 % | -3 | |
Kommo-o | 3 | 0.701 % | +1 | |
Mew | 3 | 0.701 % | -1 | |
Pelipper | 3 | 0.701 % | +1 | |
Regidrago | 3 | 0.701 % | +1 | |
Armarouge | 2 | 0.467 % | -2 | |
Azumarill | 2 | 0.467 % | 0 | |
Dugtrio | 2 | 0.467 % | +2 | |
Electrode-Hisui | 2 | 0.467 % | 0 | |
Gallade | 2 | 0.467 % | +2 | |
Gengar | 2 | 0.467 % | -2 | |
Goodra-Hisui | 2 | 0.467 % | 0 | |
Lilligant-Hisui | 2 | 0.467 % | +2 | |
Mimikyu | 2 | 0.467 % | 0 | |
Sandy Shocks | 2 | 0.467 % | -2 | |
Spiritomb | 2 | 0.467 % | -2 | |
Weavile | 2 | 0.467 % | -2 | |
Weezing-Galar | 2 | 0.467 % | -2 | |
Zapdos | 2 | 0.467 % | -2 | |
Arcanine-Hisui | 1 | 0.234 % | -1 | |
Cloyster | 1 | 0.234 % | -1 | |
Coalossal | 1 | 0.234 % | -1 | |
Forretress | 1 | 0.234 % | +1 | |
| Greninja | 1 | 0.234 % | +1 |
Gligar | 1 | 0.234 % | +1 | |
Hawlucha | 1 | 0.234 % | -1 | |
Jirachi | 1 | 0.234 % | +1 | |
Magnezone | 1 | 0.234 % | +1 | |
Overqwil | 1 | 0.234 % | -1 | |
Qwilfish-Hisui | 1 | 0.234 % | +1 | |
Rotom-Wash | 1 | 0.234 % | +1 | |
Sableye | 1 | 0.234 % | -1 | |
Samurott-Hisui | 1 | 0.234 % | +1 | |
Slither Wing | 1 | 0.234 % | -1 | |
Sylveon | 1 | 0.234 % | -1 | |
Tauros-Paldea-Aqua | 1 | 0.234 % | -1 | |
Thundurus-Therian | 1 | 0.234 % | -1 | |
Toedscruel | 1 | 0.234 % | +1 | |
Torterra | 1 | 0.234 % | +1 | |
Zoroark-Hisui | 1 | 0.234 % | -1 | |
Total | 5136 | 600.0% | 0 |
With that now visible now we can move to what I like to call...
Weekly data spotlight
- The website I use for analysis data fails to register period in case of Zacian, Urshifu and Zamazenta and would crash if the server was shut down, which happened a lot; also does not work with Office work due to the space character. Didn't though I would need reverse engineering here, but I needed to, even to ask a player who did not bringed on its Zamazenta and it was exhausting.
- They do shut down the website even before the round ends for some reason, and when that happens you lose all your progress in your commentary. Glad I saved those in Office despite the inefficiency.
- The best performing pokémon according to the net winrate are Dondozo, Zacian-Hero, Dialga, Cinderace, Garchomp and Arceus-Poison. We have a newly implemented Hazard structure people of low elo tend to struggle with, 2 of the best Zacian checks and Zacian itself... Naturally the course of action should be banning Palkia-Origin according to this thread which reminds me of "better nerf Irelia" or "Nerf the miner" of my dark f2p past.
- The worst performing pokémon on the other hand are Palafin, Cyclizar, Arceus-Fire, Urshifu, Espathra, Zamazenta-Hero and Ursaluna Bloodmoon... I think we raised the wrong doggo from B to A tier last week, because the shield one only got 2 legit non-mirror victories out of 18 matches. The thematic here are pokémon reliant on setup but can't raise their speed nor cannot switch freely, which sounds like a consequence of so many fast wallbreakers, most notably Palkia-Origin and Zacian.
- That beins said, the criteria of net winrate isn't as effective on negative numbers. At least in the case of Arceus-Fire, the simple explanation is the rise of the bozo and hazard-heavy teams, both of which punish Arceus-Fire hard.
- The most popular leads are Cyclizar, Magearna, Palafin, Dialga and Garchomp. Due to sheer use rate there's also a high number of Landorus, Rillaboom, Dragapult, Arceus-Fire and Zacian as leads even if they're not particularly used or even discouraged to be one.
- EVERY SINGLE URSALUNA had a Magearna, no exception, and the same could be said for Cinderace. 3 out of 4 Dragonites have a Zacian, even more Sneasler have a Rillaboom, almost half of Dondozo teams have Giratina and Dialga, the latter is in 9 out of 10 Cinderace teams, almost every Torkoal has Walking wake and Chi-Yu, and almost every Hoopa-Unbound has Cinderace, Ursaluna and Magearna. Most might seem like obvious synergies but not all of them... and this explains all the almost all creepy mod's usernames on discord except the Clefable one.
- The most common teams were the following; do note that using this will not cure your lack of skill, the only solution for that is to get good:
- Arceus-Dragon / Magearna / Rillaboom / Sneasler / Ursaluna / Zamazenta-HERO. This might be a big factor on why Zamazenta-hero had a much better performance than the Crowned form, and same for Ursaluna and Arceus-Dragon. I've seen variations of this team using Roaring Moon but seems most people stuck to the original.
- Dragapult / Dragonite / Garchomp / Gholdengo / Magearna / Zacian-hero. This is one of those hazard teams I was talking about. Garchomp is oddly good at the role of Hazard lead, Gholdengo is as obnoxious as it is in OU at blocking defog giratina, and this team really abuses tera to avoid their seemingly exploitable weaknesses due to type overlap.
- Cinderace / Cresselia / Dialga / Hoopa-Unbound / Magearna / Ursaluna. Yes, this is a second constructed team for Ursaluna; People at top level really love to build around the bear, which is maybe due to the love of the playstyle or the fact ground is so good in this meta. Also, yes, that's Cresselia and Hoopa-Unbound, which suddenly explains that relatively high usage and performance of the former.
- Arceus-Fire / Cyclizar / Magearna / Palafin / Roaring Moon / Zacian-Hero.This suddenly explains why Arceus-Fire, Cyclizar and Palafin had such low numbers, because this kind of Hyper offense with no defensive backbone like screens Dragapult or even reliable recovery is just a recipee for disaster, especially after the drop of Dondozo and Giratina. DO NOT USE THIS TEAM, it's not updated for December.
- All 4 described teams are from the UUbers sample teams, which I think they describe those teams better than I can. I'm also seeing many of the most used teams there, like the sun team, the Meowscarada + Gholdengo one who isn't working too well, that Stall team with Quagsire and Garganacl or many Clefable Balance teams with varying degrees of sucess. That being said, no one picked the TTar stall team because everyone almost everyone knows TTar stinks more than a pigsty abandoned for a week.
And... that would be it. I don't have much more to say outside I was indeed part of the tournament but got disqualified round 1 due to both bad planning and bad RNG; seriously, there's few things more frustrating than getting that your opponent will use Psychic fangs, tera your Arceus out of the poison type so it will survive, and die anyways due to a random crit. Oh, and this took me like 12 hours of work, including working up until 4 AM, so my head hurts; I told you my passion for data analysis is strong. Normally here I would add links to the previous weeks but... It's the first one, so there's nothing.
Farewell and I think I'll faint on my bed after this, It was exhaustin...
Ubers UU
Moves and Teammates | Combos [4] [5&6] | LeadsCode:+ ---- + ------------------ + ---- + ------- + ------- + | Rank | Pokemon | Use | Usage % | Win % | + ---- + ------------------ + ---- + ------- + ------- + | 1 | Magearna | 253 | 58.56% | 51.78% | | 2 | Zacian-* | 188 | 43.52% | 53.19% | | 3 | Cyclizar | 126 | 29.17% | 45.24% | | 4 | Palkia-Origin | 103 | 23.84% | 49.51% | | 5 | Arceus-Fire | 95 | 21.99% | 45.26% | | 6 | Dialga | 92 | 21.30% | 54.35% | | 7 | Palafin | 89 | 20.60% | 44.94% | | 7 | Rillaboom | 89 | 20.60% | 44.94% | | 9 | Landorus | 76 | 17.59% | 46.05% | | 10 | Sneasler | 74 | 17.13% | 48.65% | | 11 | Dragapult | 63 | 14.58% | 55.56% | | 12 | Chi-Yu | 61 | 14.12% | 50.82% | | 13 | Gholdengo | 59 | 13.66% | 52.54% | | 14 | Giratina | 55 | 12.73% | 49.09% | | 15 | Arceus-Poison | 53 | 12.27% | 58.49% | | 16 | Arceus-Grass | 52 | 12.04% | 55.77% | | 17 | Garchomp | 49 | 11.34% | 61.22% | | 18 | Dondozo | 48 | 11.11% | 62.50% | | 19 | Clefable | 47 | 10.88% | 42.55% | | 20 | Arceus-Dark | 44 | 10.19% | 54.55% | | 21 | Zamazenta-* | 43 | 9.95% | 46.51% | | 22 | Roaring Moon | 41 | 9.49% | 53.66% | | 23 | Ursaluna | 39 | 9.03% | 58.97% | | 24 | Garganacl | 38 | 8.80% | 57.89% | | 25 | Dragonite | 35 | 8.10% | 51.43% | | 26 | Volcarona | 33 | 7.64% | 51.52% | | 26 | Slowking-Galar | 33 | 7.64% | 48.48% | | 28 | Spectrier | 31 | 7.18% | 35.48% | | 29 | Blissey | 29 | 6.71% | 55.17% | | 29 | Espathra | 29 | 6.71% | 31.03% | | 31 | Ursaluna-Bloodmoon | 28 | 6.48% | 32.14% | | 32 | Cinderace | 27 | 6.25% | 66.67% | | 32 | Corviknight | 27 | 6.25% | 48.15% | | 34 | Urshifu | 26 | 6.02% | 26.92% | | 35 | Cresselia | 25 | 5.79% | 64.00% | | 35 | Walking Wake | 25 | 5.79% | 40.00% | | 37 | Torkoal | 23 | 5.32% | 47.83% | | 38 | Arceus-Dragon | 21 | 4.86% | 66.67% | | 39 | Dialga-Origin | 18 | 4.17% | 44.44% | | 40 | Iron Moth | 16 | 3.70% | 56.25% | | 41 | Hoopa-Unbound | 14 | 3.24% | 57.14% | | 41 | Moltres | 14 | 3.24% | 35.71% | | 43 | Palkia | 13 | 3.01% | 53.85% | | 43 | Alomomola | 13 | 3.01% | 53.85% | | 45 | Meowscarada | 11 | 2.55% | 54.55% | | 45 | Masquerain | 11 | 2.55% | 54.55% | | 45 | Gothitelle | 11 | 2.55% | 54.55% | | 48 | Quagsire | 9 | 2.08% | 66.67% | | 48 | Arceus-Psychic | 9 | 2.08% | 55.56% | | 48 | Milotic | 9 | 2.08% | 55.56% | | 48 | Donphan | 9 | 2.08% | 44.44% | | 52 | Tornadus-Therian | 8 | 1.85% | 75.00% | | 52 | Amoonguss | 8 | 1.85% | 37.50% | | 52 | Ninetales-Alola | 8 | 1.85% | 37.50% | | 55 | Ogerpon-Wellspring | 7 | 1.62% | 28.57% | | 55 | Klefki | 7 | 1.62% | 28.57% | | 57 | Ceruledge | 6 | 1.39% | 66.67% | | 57 | Mandibuzz | 6 | 1.39% | 66.67% | | 57 | Darkrai | 6 | 1.39% | 50.00% | | 57 | Baxcalibur | 6 | 1.39% | 16.67% | | 61 | Iron Valiant | 5 | 1.16% | 80.00% | | 61 | Gastrodon | 5 | 1.16% | 40.00% | | 61 | Tyranitar | 5 | 1.16% | 20.00% | | 64 | Heatran | 4 | 0.93% | 75.00% | | 64 | Houndstone | 4 | 0.93% | 25.00% | | 66 | Crawdaunt | 3 | 0.69% | 66.67% | | 66 | Pelipper | 3 | 0.69% | 66.67% | | 66 | Regidrago | 3 | 0.69% | 66.67% | | 66 | Kommo-o | 3 | 0.69% | 66.67% | | 66 | Enamorus | 3 | 0.69% | 33.33% | | 66 | Arceus-Bug | 3 | 0.69% | 33.33% | | 66 | Mew | 3 | 0.69% | 33.33% | | 66 | Espeon | 3 | 0.69% | 0.00% | | 66 | Weezing-Galar | 3 | 0.69% | 0.00% | | 66 | Sandy Shocks | 3 | 0.69% | 0.00% | | 66 | Indeedee | 3 | 0.69% | 0.00% | | 77 | Gallade | 2 | 0.46% | 100.00% | | 77 | Dugtrio | 2 | 0.46% | 100.00% | | 77 | Lilligant-Hisui | 2 | 0.46% | 100.00% | | 77 | Arceus-Ice | 2 | 0.46% | 50.00% | | 77 | Azumarill | 2 | 0.46% | 50.00% | | 77 | Mimikyu | 2 | 0.46% | 50.00% | | 77 | Electrode-Hisui | 2 | 0.46% | 50.00% | | 77 | Goodra-Hisui | 2 | 0.46% | 50.00% | | 77 | Zapdos | 2 | 0.46% | 0.00% | | 77 | Spiritomb | 2 | 0.46% | 0.00% | | 77 | Armarouge | 2 | 0.46% | 0.00% | | 77 | Gengar | 2 | 0.46% | 0.00% | | 89 | Samurott-Hisui | 1 | 0.23% | 100.00% | | 89 | Torterra | 1 | 0.23% | 100.00% | | 89 | Toedscruel | 1 | 0.23% | 100.00% | | 89 | Jirachi | 1 | 0.23% | 100.00% | | 89 | Forretress | 1 | 0.23% | 100.00% | | 89 | Qwilfish-Hisui | 1 | 0.23% | 100.00% | | 89 | Magnezone | 1 | 0.23% | 100.00% | | 89 | Ninetales | 1 | 0.23% | 100.00% | | 89 | Rotom-Wash | 1 | 0.23% | 100.00% | | 89 | Gligar | 1 | 0.23% | 100.00% | | 89 | Hawlucha | 1 | 0.23% | 0.00% | | 89 | Tauros-Paldea-Aqua | 1 | 0.23% | 0.00% | | 89 | Zoroark-Hisui | 1 | 0.23% | 0.00% | | 89 | Arceus-Fighting | 1 | 0.23% | 0.00% | | 89 | Arcanine-Hisui | 1 | 0.23% | 0.00% | | 89 | Cloyster | 1 | 0.23% | 0.00% | | 89 | Overqwil | 1 | 0.23% | 0.00% | | 89 | Arceus-Rock | 1 | 0.23% | 0.00% | | 89 | Coalossal | 1 | 0.23% | 0.00% | | 89 | Weavile | 1 | 0.23% | 0.00% | | 89 | Sableye | 1 | 0.23% | 0.00% | | 89 | Sylveon | 1 | 0.23% | 0.00% | | 89 | Slither Wing | 1 | 0.23% | 0.00% | | 89 | Thundurus-Therian | 1 | 0.23% | 0.00% |
Did stats for R1 of the Kickoff tour for those who are curious.
AND ALL OF IT FOR NOTHING... oh wait, she did made a mistake. I think I'll need to talk with a fairy after this. Hope it turns out well.
PS: Didn't knew A Fairy was a girl... Cool to see, especially considering what happened certain other girl in the past; that being said Pokémon tends to attract both girls and boys almost equally, even if for different reasons. Also, minor edits and the talk I mentioned ended up in a sucess.
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