Team
Teams
1,031
Players
4,962
Games
18,489
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.
1,031
4,962
18,489
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. SØDlUM scored above 8/10 4 times!
Want more details? How's MVP-Score calculated ?
This shows who has the most progression over time. bwadada has been getting better game after game, with an improvement rate of 0.1 !
This shows who has the most inconsistent performance. SØDlUM can go from amazing games to terrible ones - their MVP scores vary a lot between matches, with a variation of 1.4!
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 — based on your recent games.
Benchmarked against high-elo coordinated Flex and Ranked 5v5 games.
Ideas for your next drafts and games.
Dragon: +5% WR for you when secured vs +25% Master+ average. Work mid-game conversion instead of forcing without setup.
Braum (SUPPORT, tier S): 80% WR over 10 games. Solid pick for you.
Champion stats →
MonkeyKing (JUNGLE, tier A): 80% WR over 5 games. Solid pick for you.
Champion stats →
Compared to 768,272 other Flex 5/Ranked 5s teams in our benchmark pool.
Observed winrate difference (with first vs without) in percentage points.
OthersThe team wins 73% of games where it secures Baron (15 games). · -6 pp
First Baron: 44% first-secure rate, 36.5 pts observed WR difference. Signals do not align clearly — more games or richer post-objective data would help.
No single action is supported — gather more games or add post-objective metrics before changing calls.
WR association vs Master+ Flex/Ranked 5v5 benchmark (114338 team-sides)
One card per starter — biggest stat gap vs the LoL-Tracker benchmark pool (Flex 5 & Ranked 5s).
Others
Mixed profile vs other teams
Strong vision output
High damage output
High damage output
Mixed profile vs other teams
How your laning and first 15 minutes look across your sample — gold leads, plates and throws.
You smash lane early — keep punishing before they scale.
Big @15 leads — your mid-game should be proactive, not ARAM.
You win the plate game — keep crashing waves into towers.
A few throws from ahead — review what you do in the 2 minutes after a lead.
Your pool fits the current meta well.
JhinB
KaisaB
RenektonB
GangplankB
RivenC
JarvanIVB
ShyvanaS
MonkeyKingA
BraumS
OriannaD
Your most common draft shapes — 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? →Who 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 7 games you won against the 10 you lost.
| Metric | Wins | Losses | Delta |
|---|---|---|---|
| Damage / min (team) | 3999 | 3986 | +13 |
| KDA (avg per player) | 5.77 | 2.00 | +3.77 |
| Vision / min | 0.97 | 0.98 | even |
| Kills (team total) | 38.4 | 34.3 | +4.1 |
| Deaths (team total) | 20.7 | 43.6 | -22.9 |
| Duration | 28.3 min | 32.3 min | -4.1 min |
