PROTeam

Atomeus

MVP-Score averages

MVP-Score evolution

Last
sessions
Ami de la forêt
Dr Moji
HU60F3
LeNoisette
Ryûuk
Under953
Overview

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

Team insights

What to keep, change or watch — based on your recent games.

For your team

Ideas for your next drafts and games.

tower: +19% WR for you when secured vs +36% Master+ average. Work mid-game conversion instead of forcing without setup.

Janna (SUPPORT, tier A): 57% WR over 7 games. Solid pick for you.

Champion stats

Ziggs (BOTTOM, tier A): 67% WR over 6 games. Solid pick for you.

Champion stats

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.

YouOthers
70 pts47 pts23 pts0 pts
Herald
Strong first-Herald access and above-average volume

You secure first Herald in 61% of games. You average 0.61 heralds/game vs 0.4 for the reference. Winrate is 91% with first vs 29% without (62.3 pts observed difference).

First secure
61%
Objectives per game
0.61 / 0.4
WR with first
91%
WR without first
29%
Observed diff
+62.3 pts
Others' diff
+24.8 pts
Diff vs Others
+37.6 pts
Team sample
36g
Benchmark sample
1776g
What's working
  • +You secure first Herald in 61% of games in the current sample.
  • +First-Herald rate (61%) is clearly above the reference (40%).
  • +You average 0.61 heralds/game — clearly above the reference (0.4).
What to review
  • Sample size is still limited (22 with / 14 without first Herald).
  • WR association and volume come from different benchmark pools — treat the gap as indicative, not exact.

WR association vs LoL-Tracker team benchmark (1776 Flex/Ranked 5v5 games) · Volume vs Master+ coordinated 5v5 pool (143738 team-sides)

See the numbers
  • First secure: 61% of team games (22 with first) · reference: 40%
  • Objectives per game: 0.61 heralds (team) · 0.4 (reference)
  • WR with first secure: 91% · without: 29%
  • Observed WR difference: 62.3 pts (team) · 24.8 pts (reference) · gap: +37.6 pts
  • Team split: 22 with first · 14 without
  • Reference split: 719 with first · 1057 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).

Others
Under953
Top · 36g
+43 GPM
+0.49 KDA
BehindAhead

Strong economy

Ami de la forêt
Jungle · 27g
-39 GPM
-3 DPM
BehindAhead

Mixed profile vs other teams

Ryûuk
Mid · 36g
-20 DPM
+19 GPM
BehindAhead

Mixed profile vs other teams

HU60F3
ADC · 32g
-166 DPM
-75 GPM
BehindAhead

Mixed profile vs other teams

Dr Moji
Support · 36g
+1.06 KDA
0 vision/min
BehindAhead

Mixed profile vs other teams

Early game pulse

How your laning and first 15 minutes look across your sample — gold leads, plates and throws.

10'
@10
-154
Kill diff 0

Even laning @10 — first move on Herald/drag often decides tempo.

15'
@15
+203
Kill diff 0

Even @15 — one good setup wins the next 5 minutes.

Plates
0
0 taken · 0 lost / game

Plate trade is even — small gains add up if you crash on time.

Vision
13 / 3.6
Wards / player (avg)

Clean closing when ahead — vision and plates after a lead.

Pool meta profile

Your pool fits the current meta well.

HU60F3
Meta score 65/100 · from SoloQ tiers on their picks
JhinB
ZiggsA
YunaraB
Ryûuk
Meta score 63/100 · from SoloQ tiers on their picks
ZedB
VeigarA
Under953
Meta score 65/100 · from SoloQ tiers on their picks
MordekaiserS
VolibearC
SionB
Dr Moji
Meta score 68/100 · from SoloQ tiers on their picks
JannaA
RenataB
Off-metaMeta slave

Side winrate

Blue67%
14W–7L · 21 games
Red67%
10W–5L · 15 games

Summoner spells

2+ Teleports62%
21 games
2+ defensive spells76%
17 games

Draft archetypes

Your most common draft shapes — last 3 comps per archetype.

Virtual coach

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?
Impact map

Damage share

Who carries the team damage across your Flex games.

Top
Under953
27%
  • Ami de la for…20%
  • Ryûuk24%
  • Dr Moji8%
  • Under95327%
  • HU60F321%
  • LeNoisette19%

Totals can differ from 100% because dead teammates or sub-dummy games are averaged out.

Individual focus

Player profiles

For every player, how each MVP axis compares to the rest of the team. A tile shows the gap vs team average.

Above teamBelow teamAround average(darker = bigger gap)
Ami de la forêt icon
Ami de la forêt
MVP 5.5
Farming+4%
Vision-15%
KP+16%
KDA+10%
Utility+118%
Damage0%
Ryûuk icon
Ryûuk
MVP 5.5
Farming+13%
Vision-27%
KP-5%
KDA+23%
Utility-104%
Damage+20%
Dr Moji icon
Dr Moji
MVP 5.5
Farming-32%
Vision+135%
KP+5%
KDA-9%
Utility-21%
Damage-59%
Under953 icon
Under953
MVP 5.3
Farming+16%
Vision-42%
KP-2%
KDA-13%
Utility+59%
Damage+36%
HU60F3 icon
HU60F3
MVP 5.1
Farming+5%
Vision-27%
KP-4%
KDA+14%
Utility-189%
Damage+8%
LeNoisette icon
LeNoisette
MVP 4.7
Farming-6%
Vision-24%
KP-11%
KDA-25%
Utility+137%
Damage-5%
Win vs Loss

What's different when you win?

Team averages comparing the 24 games you won against the 12 you lost.

MetricWinsLossesDelta
Damage / min (team)36943420+274
KDA (avg per player)5.972.14+3.83
Vision / min1.021.04-0.02
Kills (team total)32.923.1+9.8
Deaths (team total)22.235.9-13.7
Duration29.0 min32.3 min-3.3 min
Teams

922

Players

4,432

Games

16,157

Razer

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