Data
Number of (Ranked) matches analyzed 46364 or 92728 games.
Last Update: 2021-09-15 23:03
Note : following my recent analysis the following decks:
Akshan / Sivir (IO/SH)
Sivir / Zed
Akshan / Sivir / Zed
Have been aggregated into a single archetype: “ASZ - Sivir Ionia”
In addition a quick fix to account for the Rubin-baits decks hase been applied and they are called:
RubinBait - Draven / Ezreal
RubinBait - Draven / Sion
| by the Numbers | ||
|---|---|---|
| Patch 2.15 first week / Master players1,2 | ||
| Characteristic | All Games | Ranked |
| N = 69,6073 | N = 46,3644 | |
| Status | ||
| Ranked | 46,364 (67%) | |
| Other | 20,718 (30%) | |
| Friendly | 1,556 (2.2%) | |
| to Scrap | 969 (1.4%) | |
| Server | ||
| americas | 26,243 (38%) | 16,439 (35%) |
| asia | 12,211 (18%) | 6,846 (15%) |
| europe | 31,153 (45%) | 23,079 (50%) |
|
1
Max datetime recovered: 2021-09-15 18:11:55 UTC from 2021-09-08 21:00:00 to 2021-09-15 21:00:00 UTC
2 EU Master players in the ladder: 365 while number of possible Master players recovered is: 364 NA Master players in the ladder: 386 while number of possible Master players recovered is: 385 ASIA Master players in the ladder: 181 while number of possible Master players recovered is: 181
3
Metadata from Friendly Matches (that aren't Bo3) is not recoverable,
the value may not be perfect since I lack the starting time of the game. The amount of Games to still scrap is also an estimation based on the 'position' of the game
4
n (%)
|
||
Regions
Play Rate
Plot
The Gini Index is a measure of heterogeneity so, in this case and in simpler terms, how much the play rates are similar. The Index goes (when normalized like here) \(in\) [0,1] and it’s equal to 1 when there’s a single value with 100% play rate or 0 when all play rates are equal. Of course a Gini Index of 1 needs to be avoided but it’s not like the aim should be 0. As said, it’s just to add some additional tools.
Table
| Region Play Rate | ||||
|---|---|---|---|---|
| Relative Frequencies by Inclusion Rate of a Region | ||||
| Region | Freq | Shard | ||
| America | Asia | Europe | ||
| BandleCity | 19.91% | 20.27% | 19.21% | 19.86% |
| Bilgewater | 16.85% | 15.36% | 14.98% | 18.46% |
| Noxus | 16.80% | 16.56% | 15.69% | 17.30% |
| PnZ | 12.13% | 13.51% | 12.13% | 11.15% |
| MtTargon | 8.51% | 7.24% | 7.94% | 9.59% |
| Demacia | 6.40% | 6.23% | 8.83% | 5.80% |
| Shurima | 5.58% | 7.12% | 5.44% | 4.52% |
| ShadowIsles | 5.57% | 5.74% | 4.99% | 5.63% |
| Ionia | 4.69% | 4.49% | 7.01% | 4.15% |
| Freljord | 3.55% | 3.48% | 3.78% | 3.53% |
Play Rate by number of Cards
Note : currently all dual region cards have only their main region as possible value assigned. The same problem also apply to the card’s inclusion rates, with Lulu being the most notable case affected by this.
Plot
Table
| Region Play Rate | ||||
|---|---|---|---|---|
| Relative Frequencies by number of times a Card within a Region is included in a Deck | ||||
| Region | Freq | Shard | ||
| America | Asia | Europe | ||
| BandleCity | 23.49% | 24.42% | 23.06% | 22.96% |
| Bilgewater | 17.18% | 15.78% | 16.05% | 18.51% |
| Noxus | 13.14% | 13.07% | 11.63% | 13.64% |
| PnZ | 12.30% | 13.75% | 12.62% | 11.17% |
| MtTargon | 9.39% | 7.95% | 8.50% | 10.69% |
| Shurima | 6.45% | 8.19% | 6.01% | 5.33% |
| Demacia | 5.96% | 5.80% | 7.50% | 5.61% |
| Ionia | 4.83% | 4.35% | 7.40% | 4.41% |
| ShadowIsles | 4.29% | 4.13% | 4.38% | 4.38% |
| Freljord | 2.96% | 2.55% | 2.85% | 3.29% |
Champions Combinations
Play Rates
Plot
Table
Day by Day
Highlisting the top10 most played decks (at the moment of the last game played).
Win Rates
Tie games are excluded
Meta Decks
Win rates of the most played combination of champions. Play Rate >= 1% in at least one of the servers.
Underdog
Top Win rates of the top10 best performing least played combination of champions. Play rate \(\in\) [0.1%,1%)1
Match Ups
Note : While these are indeed the Match-Ups win-rates that one can extract from last week games I need to point out that this is not the most accurate estimation you can get from my data. If you want a better picture of the current meta it would be better to look at the MU-page where I use all games with the current sets of buffs and nerfs. While it’s that there I don’t account for optimization and difference in skills acquired during the weeks the overall number of games / sample size makes them a much safer source of information. While I’ll continue to release the weekly data, pls refer to the MU - page for a better “meta-investigation”.
Match-up Grid
The win rates on the grid are among the 15 most played champion combination.
MatchUps | Caitlyn / Draven | Draven / Sion (NX/PZ) | Fizz / Lulu / Poppy (BC/NX) | Fizz / Poppy (BC/NX) | Gangplank / Miss Fortune (BW/NX) | Gangplank / Sejuani | Gangplank / Twisted Fate (BC/BW) | Lulu / Poppy (BC/DE) | Lulu / Poppy (DE/IO) | Nami / Zoe | Poppy / Zed (DE/IO) | Poppy / Ziggs (BC/NX) | Pyke / Rek'Sai | Senna / Veigar (BC/SI) | Trundle / Tryndamere (FR/SI) |
Caitlyn / Draven | 19% | 55% | 49% | 52% | 54% | 27% | 75% | 65% | 51% | 66% | 48% | 50% | 44% | 34% | |
Draven / Sion (NX/PZ) | 78% | 55% | 53% | 66% | 58% | 47% | 67% | 63% | 36% | 51% | 66% | 67% | 53% | 48% | |
Fizz / Lulu / Poppy (BC/NX) | 41% | 45% | 59% | 55% | 42% | 29% | 40% | 29% | 35% | 45% | 50% | 66% | 69% | 71% | |
Fizz / Poppy (BC/NX) | 51% | 47% | 41% | 55% | 57% | 34% | 44% | 52% | 42% | 50% | 47% | 61% | 71% | 77% | |
Gangplank / Miss Fortune (BW/NX) | 48% | 35% | 45% | 45% | 52% | 34% | 56% | 56% | 61% | 47% | 20% | 52% | 39% | 34% | |
Gangplank / Sejuani | 44% | 41% | 58% | 43% | 48% | 52% | 33% | 47% | 49% | 34% | 18% | 39% | 53% | 35% | |
Gangplank / Twisted Fate (BC/BW) | 72% | 53% | 71% | 66% | 66% | 48% | 60% | 59% | 35% | 52% | 47% | 63% | 46% | 30% | |
Lulu / Poppy (BC/DE) | 28% | 32% | 60% | 56% | 44% | 67% | 40% | 38% | 60% | 49% | 52% | 58% | 65% | 58% | |
Lulu / Poppy (DE/IO) | 35% | 37% | 71% | 48% | 44% | 53% | 41% | 62% | 65% | 61% | 50% | 57% | 68% | 50% | |
Nami / Zoe | 49% | 63% | 65% | 58% | 39% | 51% | 65% | 40% | 35% | 42% | 35% | 42% | 47% | 63% | |
Poppy / Zed (DE/IO) | 35% | 48% | 55% | 50% | 53% | 66% | 48% | 51% | 39% | 58% | 40% | 70% | 65% | 60% | |
Poppy / Ziggs (BC/NX) | 49% | 34% | 50% | 53% | 80% | 82% | 53% | 48% | 50% | 65% | 60% | 56% | 63% | 58% | |
Pyke / Rek'Sai | 48% | 34% | 34% | 39% | 48% | 61% | 37% | 42% | 42% | 58% | 30% | 44% | 54% | 59% | |
Senna / Veigar (BC/SI) | 57% | 47% | 31% | 29% | 61% | 47% | 54% | 35% | 32% | 53% | 35% | 37% | 46% | 47% | |
Trundle / Tryndamere (FR/SI) | 64% | 53% | 29% | 23% | 66% | 65% | 70% | 42% | 50% | 37% | 40% | 42% | 41% | 53% |
Match-up Table
Deck (builder) of the week - RubinZoo Edition
As I added a section dedicated to decks’ information which includes Meta and Underdog decks this section can be dedicated to more obscure decks are peculiar cases. And this weeks it is impossible not to consider the new meta-impact from RubinZoo with his bait-decks.
RubinBait - Draven / Ezreal
RubinBait - Draven / Sion
Deckcodes
How to read the table:
- Play rate: How often a card is included in this class of decks / the table is order by this column.
- 3/2/1 is the relative and absolute frequency of the number of copies in the decks that plays them
- Frequencies from 50% to 100% are colored from shades of green to white to identify more easily the highest values
LoR-Meta Index (LMI)
The LMI 2 is an Index I developed to measure the performance of decks in the metagame. For those who are familiar with basic statistical concept I wrote a document to explain the theory behind it: , it’s very similar to vicioussyndicate (vS) Meta Score from their data reaper report. The score of each deck is not just their “strength”, it takes in consideration both play rates and win rates that’s why I prefer to say it measure the “performance”. The values range from 0 to 100 and the higher the value, the higher is the performance.
Cards Presence
Play Rate
It seems that not even Twin Disciple can beat Sharsight
Top 3 Play Rates by Region
Forgotten Cards
Cards that couldn’t find place even in a meme deck.
| Region | BC | BW | DE | FR | IO | MT | NX | PZ | SH | SI |
| 1 | Heroic Charge | Hunting Fleet | Laurent Duelist | Shatter | Keeper of Masks | Sneaky Zeebles | Trifarian Shieldbreaker | Academy Prodigy | Unworthy | Scuttlegeist |
| 2 | Plunder Poro | Mageseeker Inciter | Scarmaiden Reaver | Nimble Poro | Grandfather Rumul | Savage Reckoner | Hextech Transmogulator | Ricochet | Sinister Poro | |
| 3 | Abyssal Guard | Plucky Poro | Feral Mystic | Sown Seeds | Resplendent Stellacorn | Affectionate Poro | Scrapdash Assembly | Arise! | Tortured Prodigy | |
| 4 | Succession | Icy Yeti | Emerald Awakener | Fledgling Stellacorn | Guile | Unlicensed Innovation | Destined Poro | Overgrown Snapvine | ||
| 5 | Vanguard Lookout | Rimetusk Shaman | The Empyrean | Porofly | Arrel the Tracker | Eminent Benefactor | Waking Sands | Encroaching Shadows | ||
| 6 | Reinforcements | Caught in the Cold | Shadowshift | Noxkraya Arena | Unstable Voltician | Sandstone Chimera | Pesky Specter | |||
| 7 | For Demacia! | Augur of the Old Ones | Swole Squirrel | Shrieking Spinner | Amateur Aeronaut | The Twisted Treeline | ||||
| 8 | Vanguard Firstblade | Troll Ravager | Zinneia, Steel Crescendo | Weapons of the Lost | Intrepid Mariner | Lamb’s Respite | ||||
| 9 | Vanguard Cavalry | Cold Resistance | Coastal Defender | Caustic Cask | Soulspinner | |||||
| 10 | Mageseeker Investigator | Ancestral Boon | Insightful Investigator | Mistkeepers | ||||||
| 11 | Stalking Broodmother | |||||||||
| 12 | Kadregrin the Infernal | |||||||||
| 13 | Towering Stonehorn |
Legal bla bla
This Meta Report was created under Riot Games’ “Legal Jibber Jabber” policy using assets owned by Riot Games. Riot Games does not endorse or sponsor this project.
Min number of games 50, during the times a meta/ladder just changed.↩︎