Schloter
MVP-Score averages
MVP-Score evolution
5.1 / 10
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.
Why DavidJ Nothin Ok is your most clutch player ?
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. DavidJ Nothin Ok scored above 8/10 3 times!
Want more details? How's MVP-Score calculated ?
Why StefanSemmel is your most improving player ?
This shows who has the most progression over time. StefanSemmel has been getting better game after game, with an improvement rate of -0.0 !
Why But Why Pengu is your most unstable player ?
This shows who has the most inconsistent performance. But Why Pengu can go from amazing games to terrible ones - their MVP scores vary a lot between matches, with a variation of 1.6!
Global statistics
A bird's-eye view of how the roster has been performing lately, core numbers, trends and individual contributions across recent Flex games.
Team insights
What to keep, change or watch — based on your recent games.
For your team
Ideas for your next drafts and games.
Dragon: +0% WR for you when secured vs +22% Master+ average. Work mid-game conversion instead of forcing without setup.
Objectives vs other teams
Compared to 1,776 other Flex 5/Ranked 5s teams in our benchmark pool.
Observed winrate difference (with first vs without) in percentage points.
In the current sample, winrate is 20% with first Dragon and 20% without — an observed difference of 0 pts. Treat comparisons with the reference as indicative only.
- +You secure first Dragon in 50% of games in the current sample.
- →First-Dragon rate (50%) is slightly below the reference (55%).
- →Total volume is 1.7 dragons/game — below the reference (1.95).
- →First Dragon is less strongly associated with winning for you (0 pts) than in the reference (22.4 pts).
Keep tracking Dragon over the next games — the current sample is too thin for strong conclusions.
WR association vs LoL-Tracker team benchmark (1776 Flex/Ranked 5v5 games) · Volume vs Master+ coordinated 5v5 pool (151139 team-sides)
See the numbers
- First secure: 50% of team games (5 with first) · reference: 55%
- Objectives per game: 1.7 dragons (team) · 1.95 (reference)
- WR with first secure: 20% · without: 20%
- Observed WR difference: 0 pts (team) · 22.4 pts (reference) · gap: -22.4 pts
- Team split: 5 with first · 5 without
- Reference split: 984 with first · 792 without
- Draft fit: Scaling Teamfight
Roster vs others
One card per starter — biggest stat gap vs the LoL-Tracker benchmark pool (Flex 5 & Ranked 5s).
Mixed profile vs other teams
Mixed profile vs other teams
Mixed profile vs other teams
Mixed profile vs other teams
Strong map involvement
Early game pulse
How your laning and first 15 minutes look across your sample — gold leads, plates and throws.
Even laning @10 — first move on Herald/drag often decides tempo.
Often behind @15 — you need cleaner resets or pick comps.
Plate trade is even — small gains add up if you crash on time.
Rare throws from ahead — leads usually stick.
Pool meta profile
Your pool fits the current meta well.
Draft archetypes
Your most common draft shapes — last 3 comps per archetype.
AI coach
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? →Unlock your AI coach
An AI coach reads every Flex game your squad plays and ships concrete, per-player and team-level advice. Available on the Try harder and Pro plans.
On the Pro plan you also get a direct chat with the coach, grounded in your team's data, to ask follow-up questions between sessions.
See plansYou're currently on the Free plan.




