DamiMikonos

DamiMikonos — CS2 Stats

GR76561198121598673[U:1:161332945]Steam profile ↗✓ No bans

149Tracked matches38%Win rate2020Tracked since
2,003Hours in CS7Hrs last 2 wks
CSDB Rating3.4 LearningAll-Rounder
Premier CS Rating5,715Light Blue band · top ~75.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,715 +1,248 1 May – 24 Sept · 13 days played
3,3655,715peak 5,7151 May24 Sept
5,715Peak Premier in tracked matches
52Days played since 2022-05-12

Premier CS Rating

  • At peak — 5,715
  • +606 over 30 days · improving
  • +704 over 90 days
  • Next: Blue band at 10,000 — 4,285 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate35.2%39.9%42.0%6.7% short
Shot accuracy19.4%7.0%9.6%above
Kill/death ratio0.990.920.98meets
Match win rate34.3%42.3%43.8%9.5% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDamiMikonosPREMIER5,715 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY34–60–6Last 10034%Win rateLLWWWLWWWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.8pp headshot accuracy · −64ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 555ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 587ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.8
Utility3.1
Positioning4.8
Opening Duels4.5
Clutch4.4

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.8
Positioning4.8
Utility3.1
Mechanics2.4
Opening Duels4.5
Win Impact1.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time595ms−75ms
first ⅓ avg 669ms → last ⅓ avg 595ms
Headshot accuracy11.2%+2.0%
first ⅓ avg 9.2% → last ⅓ avg 11.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 13–10 · inferno, 18 Aug →
30%Best headshot accuracy · 13–7 · mirage, 16 Jul →
422msFastest reaction time · 2–13 · inferno, 25 Sept →
16–2Biggest win · cache, 19 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–2In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 57% over 7dust2Weakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.02
dust2D193–1616%-0.04
infernoD155–1033%-0.01
cacheD134–931%-0.01
nukeC104–640%-0.01
ancientA74–357%-0.01
anubisD51–420%-0.00
office—22–0100%-0.01
train—20–20%-0.03
overpass—21–150%-0.04
shelter—11–0100%-0.00
tuscan—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,729Lifetime kills
0.99K/D · Top 50% of Light Blue band
4,136Matches
34.3%Match win rate
35.2%Headshot %
19.4%Shot accuracy · Top 5% of Light Blue band
4,920MVPs
1,047Hours (in match)
1,820Bombs planted
333Bombs defused

Most-used weapons

AK-479,359
AWP4,834
P903,413
AUG3,024
UMP-452,791
MAC-102,587

Lifetime map wins

3,930inferno
2,349dust2
2,172office
1,147nuke
635train
419cbble
332safehouse
295lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

37Matches
41%Win rate
0.99Avg K/D
80.4ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis683%1.5217.3
Dust2617%0.569.2
Mirage540%0.8614.6
Cache425%1.3216.5
Inferno475%0.9810.5
Ancient333%1.2017.0
Nuke250%0.9716.0
Train10%0.5010.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.1%Headshot accuracy
36.9%Accuracy (enemy spotted)
44.8%Spray accuracy
60.7%Counter-strafing
11.8°Preaim
592msReaction time
46.7%T opening success
49.1%CT opening success
0.39Enemies flashed / flash
5.2%Flash assists
8.46HE damage / grenade
2.07Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1228% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3941 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.066%25 Sept →
inferno10–130.008%25 Sept →
inferno13–70.069%24 Sept →
mirage13–3-0.0023%20 Sept →
office13–90.0014%20 Sept →
dust25–13-0.0810%26 Aug →
cache13–80.025%26 Aug →
inferno13–9-0.026%25 Aug →
mirage13–40.0112%23 Aug →
inferno9–130.1011%19 Aug →
mirage10–13-0.028%18 Aug →
anubis12–16-0.0111%18 Aug →
ancient13–70.011%18 Aug →
ancient7–130.0616%18 Aug →
mirage0–13-0.0513%18 Aug →
inferno13–100.1011%18 Aug →
nuke13–60.0117%18 Aug →
anubis5–13-0.049%17 Aug →
train10–13-0.0714%14 Aug →
dust29–130.0514%14 Aug →
anubis13–80.0321%12 Aug →
inferno7–130.079%12 Aug →
inferno10–13-0.0415%12 Aug →
dust20–13-0.0614%11 Aug →
mirage4–13-0.025%11 Aug →
mirage10–130.0111%11 Aug →
cache13–100.0312%11 Aug →
mirage9–13-0.0212%10 Aug →
cache15–150.0011%10 Aug →
dust26–13-0.089%10 Aug →
mirage9–13-0.0213%10 Aug →
ancient12–12-0.038%6 Aug →
dust210–130.0113%5 Aug →
nuke13–110.0311%5 Aug →
nuke6–130.0321%3 Aug →
dust22–130.0120%3 Aug →
dust24–13-0.0410%3 Aug →
cache12–160.0116%19 Jul →
dust25–13-0.0410%18 Jul →
mirage13–90.0317%18 Jul →
ancient13–110.005%18 Jul →
nuke9–13-0.058%18 Jul →
mirage2–13-0.106%18 Jul →
cache4–13-0.0115%18 Jul →
inferno13–9-0.0327%18 Jul →
ancient13–60.029%18 Jul →
dust211–13-0.058%18 Jul →
mirage5–13-0.0510%17 Jul →
ancient13–5-0.1011%17 Jul →
shelter13–7-0.005%16 Jul →
cache9–13-0.058%16 Jul →
mirage13–90.029%16 Jul →
mirage13–70.0230%16 Jul →
mirage5–13-0.036%15 Jul →
ancient5–13-0.0015%15 Jul →
dust212–12-0.068%15 Jul →
nuke6–13-0.036%15 Jul →
cache9–130.0111%14 Jul →
mirage2–13-0.069%13 Jul →
anubis4–13-0.0113%13 Jul →
dust22–13-0.080%11 Jul →
train12–120.008%11 Jul →
cache6–13-0.039%10 Jul →
mirage5–13-0.058%21 Jun →
overpass10–13-0.0613%15 Jun →
inferno6–13-0.067%15 Jun →
mirage13–100.005%15 Jun →
nuke15–15-0.0410%14 Jun →
anubis4–130.016%13 Jun →
nuke2–13-0.036%12 Jun →
inferno9–13-0.0114%12 Jun →
nuke13–70.051%10 Jun →
dust211–130.029%9 Jun →
mirage13–8-0.117%6 Jun →
dust213–11-0.0320%6 Jun →
cache10–13-0.068%6 Jun →
dust24–13-0.038%5 Jun →
cache13–5-0.0518%5 Jun →
office8–1-0.010%5 Jun →
mirage13–3-0.044%5 Jun →
dust213–9-0.037%19 May →
dust26–130.0310%1 May →
mirage10–130.0610%1 May →
mirage5–13-0.0110%28 Apr →
inferno13–100.0514%2 Apr →
mirage13–4-0.0216%1 Apr →
dust21–13-0.0614%6 Mar →
dust210–13-0.084%19 Sept →
nuke8–13-0.057%24 May →
inferno13–16-0.135%14 May →
nuke16–12-0.048%3 May →
cache12–16-0.008%17 Jan →
inferno9–16-0.078%27 Nov →
overpass16–8-0.0210%5 Oct →
tuscan5–16-0.084%29 Sept →
mirage8–16-0.084%22 Sept →
inferno8–8-0.0416%17 Jul →
dust216–14-0.0516%19 May →
cache16–20.048%19 May →
cache6–16-0.0412%12 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.