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In this post, we'll break down how to read the tier list, explain what each stat means, and highlight the champions that stood out from the data gathered in June.
Contents
If this is your first time coming across MMRadar, welcome! Before we dive into the analysis, I need just a few words to explain our performance scoring system. I'll keep it simple and non-technical.
If you are already familiar with our system, you can skip to the next section The Data
To power our scoring algorithms we use public data from Riot API. In every match we measure each player's performance by focusing on the areas of the game that have the highest impact on winning. These are split into six main categories: Laning, Farming, Objectives, Combat, Teamfight, and Vision.
Laning compares a player's early game performance directly against their lane opponent. We look at CS difference, successful trades, turret plates taken, early kills or assists, solo kills, lane pressure, impactful roams or ganks, and contributions to early objectives.
Note: By laning phase, we refer to the first 10-14 minutes of the game, or until players start grouping and roaming.
Farming measures how well a player generates gold throughout the game. This could be gold from CS, jungle farming, lane tax, kill/shutdown rewards, objectives, bounties, turrets, passive gold income, and more. We also consider missed CS opportunities (based on match average rank), overall consistency, and how the player compares to all other players in their game.
We look at contribution to key objectives like turrets, dragons, Baron, Rift Herald, etc. We track how many each player participated and helped secure, how much damage he dealt, and how his contribution compares to teammates. Extra points are given for first turret, first dragon, dragon soul, and epic monster steals.
With combat we take a look at a player's fighting skills and standout moments. It includes kills and assists relative to their team, bounty level, kill streaks, solo kills, multi-kills, outplay moments like winning outnumbered fights, and more.
We measure a player's impact in teamfights by comparing their kill participation, damage dealt, and damage taken to their team's top performers. It also rewards players who draw pressure, and make a difference in important teamfights.
And finally, vision shows how well a player controls vision compared to what's expected for their role and tier. We look at their vision score per minute, control wards placed, early ward clears, ward protection, and more. Vision scores are always adjusted by role, e.g. supports are expected to contribute more than solo laners to get high scores.
Total Score: The average of all 6 categories.
Performance score values range from 0 to 2500. They can go higher, but that's rare and usually happens when looking at a single player performance in a game instead of averages.
But what player individual performance has to do with champion strength? Each player's score reflects how much impact they had in their game, good or bad. By analyzing thousands of games for each champion, we measure how well they perform across the categories above. This gives us a clear picture of their strengths and weaknesses, regardless of individual player skill level. It's also a good indicator of how strong a champion is in the current meta since it's based on the most recent matchups.
You can check and interact with the data here mmradar.gg/tier-list.
Note: Challenger and Grandmaster data for June was limited. For July, we've collected enough matches from high ranks and will include them in the update, probably in the first week of August. As more players use MMRadar and our data collection grows, our goal is to reach a point where we can update weekly.
In addition to the six performance score categories we've already explained, there are other powerful indicators on the board:
MVP: The percentage of games where the champion was the MVP. High numbers start from 15%.
MVP Win Rate The percentage of games where the champion was the MVP and they won. High numbers start around 75%.
You can think of this as a two-layer filter to identify champion carry potential:
Reliable Carries. Consistently top performers and converts into wins. Great for solo queue, OTPs, etc.
They perform well _on paper_, but the team often loses. They might be team-dependent, lack game-closing tools, or fall off in the late game.
Rarely MVP, but when they are, they win hard. Typically late-game scalers like Kassadin, Kayle, Vladimir, Asol, etc.
Note: Sometimes this can be inflated due to low MVP sample sizes. This happens especially with support champions, who rarely earn MVP but might have a few standout games that skew the numbers. Context matters. It doesn't always mean they have 1v9 potential.
Sorting by KDA within each role clearly shows that high KDA doesn't always mean high impact. Many champions with the highest KDA scores have average or even low MVP rates and total performance scores. In most cases, high KDA is more about champion survivability or safe playstyles, not about carrying games.
While score is important to check, sometimes it can be inflated by a specific performance category and not show the full picture. For example, Fiddlesticks gets first place because his vision score is extremely high. By using his passive granting him vision while also clearing wards, gives him an edge over the enemy jungler and awards him extra score points.
This is why we have the option to disable one or more of the categories, so we can filter out what's not needed and focus on the part of the data we care about.
By disabling vision score, we still see junglers at the top of the list, but Fiddlesticks drops all the way to the third page.
Junglers are at the top mainly due to their high objective scores they get compared to all other roles. While it seems biased and inflated for junglers you can't deny that objectives often dictate the flow and outcome of the game.
To get the most out of the data and make fair comparisons, we need to compare apples to apples. So let's start by filtering by role and narrowing it down to Emerald+ ranks to ensure we have enough matches analyzed while also looking at stats from high Elo.
Filters: [Tier: EMERALD+] [Role: JUNGLE] [Disabled: Vision]
Score range (no filters): 1753- 1839
Score range (w/ filters): 1763-1823
Stats for jungle are really satisfying to look at because their MVP rates are amazing. Their laning scores are lower compared to laners, which makes sense. It's rare for a jungler to completely stomp the enemy early. It can happen when there's early counter-jungling, counter-ganks, stealing camps/buffs, or killing the enemy inside his own jungle, but it's not the norm. Laners on the other hand clash constantly, making early leads more common.
That being said, sorting by laning we see Shaco at the top. He picks up a lot of early kills and assists by being invisible and active during the early phase of the game. His combat score is also high due to constant ganks and pressure. He doesn't focus on farming or objectives as much as other junglers, which is why his scores in those areas are low.
Karthus with a total score of 1823 and Talon with 1822 are extremely close at the top. Karthus has the highest teamfight score at 2232, and Talon leads in combat with 2201. Both have strong MVP percentages, but Talon takes the lead with a 27.9% MVP and 78.7% MVP W/R.
Hecarim has the highest farming score because of his mobility and his clear. Talon is right behind him, and Shyvana is third.
Shyvana also has the highest score in objectives, along with other champions that deal high DPS to epic monsters.
There are two other champions worth mentioning that aren't at the top of total score. But when you sort by MVP, they stand out.
Kindred has a 29.5% MVP rate, 82.8% MVP winrate, and 51.3% overall winrate.
Bel'veth has a 27.7% MVP rate, 85.2% MVP winrate, and 51.4% overall winrate.
In general, junglers have some of the highest teamfight scores in the game. They're involved across the entire map, present for most teamfights, and they show up for objectives. Out of all the roles, data shows that on average, jungle has the most direct influence on how the game plays out.
Filters: [Tier: EMERALD+] [Role: MIDDLE] [Disabled: Objectives, Vision]
Score range (no filters): 1547 - 1684
Score range (w/ filters): 1710 - 1864
First spot, the all-rounder Irelia. The usual suspect. She has the highest farming and one of the highest laning scores that lets her snowball and scale. She's also holding the top MVP among mid laners at 20.7% with 73.9% of her games won when she's ahead. Her pickrate is still low at 0.81%, especially compared to Ahri (3.2%) followed by Syndra, Sylas, Yasuo, and Katarina.
Talon comes second with a score of 1818. While he doesn't lead in any performance category, his stats are consistently near the top, which earns him the second spot overall.
Katarina has the highest combat score among mid laners and a decent MVP score at 11.1%, but what really stands out is her carry potential. when ahead, she wins 85.7% of her games!
Sylas has the best teamfight score overall and his other performance scores are also strong, but his MVP percentage is low and his winrate is 49.9%.
Champions with the most dominant laning scores include Akshan, Talon, Irelia, Diana, and Naafiri.
Filters: [Tier: EMERALD+] [Role: TOP] [Disabled: Objectives, Vision]
Score range (no filters): 1519-1642
Score range (w/ filters): 1616-1774
Again, Irelia with the highest performance in laning and farming, and overall a strong all-rounder. She has the highest MVP percentage at 20%, with 70% of those games won, which shows just how hard she can carry when ahead.
I also want to focus on Olaf. This underrated beast doesn't lead in any single category, but still manages a 15.2% MVP percentage, with 77.1% MVP W/R, and a solid 51.7% overall winrate. He's definitely worth more than a 0.73% pickrate.
When sorting by MVP W/R, we see Kayle, no surprise there. Once she scales, she can 1v9. We also see high-mechanics champs like Riven and Yone near the top.
When sorting by winrate, Cassiopeia shows up first, but with only around 6k games, her data isn't very reliable yet. Quinn, however, has a 52.9% winrate, the highest combat score among top laners, but only an 8.6% MVP rate
Highest teamfight score goes to Kled, thanks to his ult. I'm surprised we don't see Shen here. Shen mains, please time your ults better. :)
Enabling and sorting by Objectives, we see all the split pushers jump to the top. Even if their objective scores aren't the highest compared to junglers, it's clear how much pressure they apply on side turrets.
Lastly, a truly unfortunate discovery. Teemo shows up on the first page when sorting by vision.
Anyways,
Filters: [Tier: EMERALD+] [Role: BOTTOM] [Disabled: Objectives, Vision]
Score range (no filters): 1575-1648
Score range (w/ filters): 1698-1857
So, a question that's been getting a lot of traction lately. Are ADCs that OP? Well, if you look at Draven, yes. He's a laning bully with the highest laning score among ADCs, and while his other performance stats aren't first, they're consistently near the top. Draven doesn't really have many weaknesses. He dominates early, scales well, and even when he makes mistakes, his passive helps him bounce back by farming bonus gold. He has the highest MVP score at 20.3%, matching Irelia in both mid and top, and wins 77.4% of those games when ahead.
Sivir has the best farming score among ADCs, but much lower laning and combat compared to Draven. Her teamfight score is similar. Her MVP is lower at 13.7%, but her carry potential is almost identical with 77.6% MVP W/R and 51.6% overall winrate.
In the combat performance category, we see Karthus at the top, but his game sample is small at around 7k games, so the data isn't that reliable.
Bellow him we see Twitch and Samira, both sitting at 2141 combat score. Samira tends to have more outplay potential and better cleanups in teamfights, giving her a slightly higher teamfight score and a higher MVP score at 17.8%, with 84.4% MVP W/R when ahead. Both of them almost never lose when they get ahead.
For teamfight, Kog'Maw is also ranking well.
Kalista looks solid across multiple performance categories, but with a low pickrate and around 10k games analyzed, the data isn't strong enough to draw confident conclusions.
Finishing with Tristana, she's not first in any specific category, but she's well-balanced across all of them. She has a strong 18.1% MVP score, 82.3% MVP W/R, and 51.9% overall winrate. Definitely a strong pick.
Filters: [Tier: EMERALD+] [Role: SUPPORT] [Disabled: Farm, Objectives]
Score range (no filters): 1495-1611
Score range (w/ filters): 1723-1896
We see aggressive champions stacked up the top of the board like Elise, Pantheon, Pyke, etc. Their playstyle naturally leads to high combat and teamfight scores, so it's no surprise they rank well. That said, this doesn't mean classic supports like Nami, Lulu, Thresh, or Milio don't contribute meaningfully. But when aggressive picks like Elise or Pantheon are matched into high-pickrate enchanters, they often come out ahead in impact categories like combat and teamfight.
Support MVP percentages are generally low. That's mostly because they get overshadowed by the champions they enable. A Nami or Janna can have a great game, setting up plays and helping their ADC get ahead, but once the ADC starts snowballing and scaling, they usually secure MVP. It's common to see games where the ADC finishes MVP with a 1900+ score, and the support is right behind with only 50-100 points less.
There are also games where the support is the one carrying the game. When the ADC is behind and the support is playing the map, setting up kills, following the jungler early, showing up for objectives, providing vision and roaming during resets, they get rewarded. Sometimes, they get MVP.
That's why, when sorting by MVP, while the percentages are low, the champions that show up aren't just combat-focused ones. We see supports like Bard, Shen, and Pyke near the top. Their playstyle allows them to roam, make proactive plays, and have map-wide presence and impact.
In the current meta, we still see plenty of Lucian, Jinx, and Tristana paired with enchanters like Nami, Lulu, and Milio, or frontliners like Thresh and Nautilus. These are still strong, and they show up a lot. But when individual impact is measured, the kind that doesn't rely on your lane partner, aggressive champions like Elise, Pantheon, and Pyke are the ones that rise to the top of the support board.
Thanks for reading. We hope this breakdown gave you a clearer picture of how each champion performs based on real in-game impact. There's still a lot more to explore, and we're excited to see what insights you uncover as you dive deeper into the data.
There's an option to download the full dataset as a CSV. Just make sure you're logged in to access it (we do this to prevent bot scraping).
Also, make sure to give it a try and search your own account on mmradar.gg. You'll see interesting stats like your Performance Rank (a fun, unofficial way of showing how you perform compared to your teammates and enemies), plus a full breakdown of your own performance across all six performance categories.
If you enjoyed the data, consider sharing it with others. It helps us grow and collect even more match data for future updates on our tier list.
For questions, feedback, or ideas on how we can improve the analysis, feel free to reach out at [email protected] or join our Discord community.
Note: We haven't included regional filters yet, as most of our current data comes from EUW, EUNE, and NA. Region-specific filtering will be added as we continue to scale up.
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