Team
Teams
835
Players
4,051
Games
14,567
LoL-Tracker isn't endorsed by Riot Games and doesn't reflect the views or opinions of Riot Games or anyone officially involved in producing or managing League of Legends.
835
4,051
14,567
LoL-Tracker isn't endorsed by Riot Games and doesn't reflect the views or opinions of Riot Games or anyone officially involved in producing or managing League of Legends.
This number is simply the average of every current roster member's MVP-Score across all the Flex games they've played together.
Want to see what the team looks like without a given player? Click a name in the legend on the graph to toggle them out, the team average recomputes live based on who's still selected.
This ranking is based on the MVP score (out of 10) calculated from KDA, gold per minute, vision score, kill participation, damage dealt, and utility stats. Fenclow scored above 8/10 3 times!
Want more details? How's MVP-Score calculated ?
This shows who has the most progression over time. LadyGragas has been getting better game after game, with an improvement rate of 0.4 !
This shows who has the most inconsistent performance. Fenclow can go from amazing games to terrible ones - their MVP scores vary a lot between matches, with a variation of 1.9!
A bird's-eye view of how the roster has been performing lately, core numbers, trends and individual contributions across recent Flex games.
What to keep, change or watch β based on your recent games.
Ideas for your next drafts and games.
How much each first objective helps you win β compared to other Flex 5/Ranked 5s teams.
Not enough objective data to compare with other teams.
One card per starter β biggest stat gap vs the LoL-Tracker benchmark pool (Flex 5 & Ranked 5s).
Others
Mixed profile vs other teams
Mixed profile vs other teams
High damage output
Mixed profile vs other teams
Mixed profile vs other teams
Your pool fits the current meta well.
EkkoB
AsheB
VayneB
ZileanAYour most common draft shapes β last 3 comps per archetype.
Concrete actions for your next game, grounded in what your data reveals: team-level priorities, personal focus for every player, and the patterns behind the advice.
How does our virtual coach work? βWho carries the team damage across your Flex games.
For every player, how each MVP axis compares to the rest of the team. A tile shows the gap vs team average.
Team averages comparing the 2 games you won against the 8 you lost.
| Metric | Wins | Losses | Delta |
|---|---|---|---|
| Damage / min (team) | 3043 | 3146 | -103 |
| KDA (avg per player) | 7.67 | 1.30 | +6.37 |
| Vision / min | 0.69 | 0.69 | even |
| Kills (team total) | 33.0 | 28.0 | +5.0 |
| Deaths (team total) | 10.0 | 47.4 | -37.4 |
| Duration | 21.6 min | 32.1 min | -10.5 min |
