micatenz

micatenz — CS2 Stats

RU76561199050289000[U:1:1090023272]Steam profile ↗✓ No bans

959Tracked matches62%Win rate2022Tracked since
2,162Hours in CS4Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating21,879Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#58667 of 261562 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 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: 21,879 +1,306 25 Sept – 8 Nov · 6 days played
20,57321,879peak 21,87925 Sept8 Nov
21,879Peak Premier in tracked matches
1,479Highest Faceit ELO seen on CSDB
39Days played since 2026-06-22

Faceit ELO

  • At peak — 1,479
  • Next: Level 8 at 1,531 — 52 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 21,879
  • Next: Red band at 25,000 — 3,121 to go
  • Reached: Pink band · Purple band · Blue band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate50.8%46.9%49.3%above
Shot accuracy6.5%13.0%13.4%6.9% short
Kill/death ratio0.991.081.120.14 short
Match win rate48.6%46.7%48.5%meets

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

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

Share this profile

CSDB.GGmicatenzPREMIER21,879 · Pink bandPEAK ELO1,479csdb.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

Aim73
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateWWWLWWWLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · +8ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 619ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 586ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 582ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim7.3
Utility5.9
Positioning4.4
Opening Duels0.1
Clutch2.4

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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3
Positioning4.4
Utility5.9
Mechanics7.8
Opening Duels1.3
Win Impact9.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time598ms+4ms
first ⅓ avg 594ms → last ⅓ avg 598ms
Headshot accuracy20.2%−4.7%
first ⅓ avg 25.0% → last ⅓ avg 20.2%

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

0.17Best match rating · 13–2 · mirage, 7 Oct →
58%Best headshot accuracy · 1–13 · mirage, 17 Jul →
422msFastest reaction time · 11–13 · inferno, 17 Jul →
13–0Biggest win · dust2, 10 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
3–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 50% over 30
MapGradePlayedRecordWin rateAvg rating
mirageB4523–2251%0.01
dust2B3015–1550%0.03
infernoB84–450%0.01
anubisA53–260%0.01
cacheS54–180%0.00
nuke—43–175%0.01
overpass—21–150%0.00
ancient—11–0100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,007Lifetime kills
0.99K/D
2,824Matches
48.6%Match win rate · Top 50% of Pink band
50.8%Headshot % · Top 50% of Pink band
6.5%Shot accuracy
5,787MVPs
1,150Hours (in match)
2,164Bombs planted
641Bombs defused

Most-used weapons

AK-4718,500
MP92,804
MAC-101,885
AWP1,721
FAMAS1,133

Lifetime map wins

4,331dust2
3,591inferno
2,490nuke
953vertigo
304train
30cbble
24office
8italy

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

Faceit stats

Combat

182Matches
57%Win rate
1.26Avg K/D
81.7ADR
48%Headshot %

Clutches & streaks

32%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7355%1.2117.9
Anubis2361%1.3016.7
Ancient1747%1.4917.3
Nuke1662%0.8913.6
Dust21060%1.6919.3
Inferno60%0.9016.2
Vertigo3100%1.1619.0
Overpass250%1.2421.0

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.

20.4%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.2%Spray accuracy
85.3%Counter-strafing
9.5°Preaim
595msReaction time
36.4%T opening success
33.7%CT opening success
0.65Enemies flashed / flash
3.8%Flash assists
4.16HE damage / grenade
14.80Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.4421% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–60.0220%11 Nov →
anubis13–40.0226%11 Nov →
nuke13–80.0123%8 Nov →
mirage11–130.1021%1 Nov →
mirage13–100.0114%1 Nov →
inferno13–90.0432%24 Oct →
cache16–130.0016%21 Oct →
dust24–13-0.0910%21 Oct →
mirage13–10-0.0218%19 Oct →
mirage13–20.1721%7 Oct →
mirage11–20.0526%3 Oct →
mirage13–30.0725%26 Sept →
inferno7–13-0.0716%26 Sept →
anubis13–50.0829%25 Sept →
mirage13–60.0415%23 Sept →
dust213–90.0725%23 Sept →
dust213–80.0020%23 Sept →
mirage0–13-0.140%21 Sept →
mirage13–5-0.0116%21 Sept →
anubis13–10.0621%20 Sept →
dust213–80.0420%20 Sept →
mirage10–13-0.0222%19 Sept →
anubis5–13-0.0418%19 Sept →
anubis1–13-0.0829%15 Sept →
mirage13–50.0121%15 Sept →
mirage7–130.0218%14 Sept →
mirage11–13-0.0814%13 Sept →
cache4–13-0.0732%13 Sept →
dust28–13-0.0516%8 Sept →
mirage12–12-0.0125%8 Sept →
dust23–120.005%8 Sept →
mirage8–130.0624%8 Sept →
dust25–130.0231%4 Sept →
mirage13–20.0425%4 Sept →
dust213–90.0628%4 Sept →
ancient13–9-0.0013%31 Aug →
dust29–130.0424%31 Aug →
mirage13–50.0233%31 Aug →
mirage13–100.0033%31 Aug →
dust213–110.0318%30 Aug →
cache13–110.0323%30 Aug →
mirage13–20.1530%30 Aug →
nuke13–70.0635%30 Aug →
dust210–13-0.0029%25 Aug →
mirage10–130.0015%25 Aug →
inferno13–40.0816%25 Aug →
dust213–7-0.0218%25 Aug →
mirage13–40.0418%25 Aug →
mirage13–40.0216%25 Aug →
inferno12–120.0424%25 Aug →
dust213–50.0625%25 Aug →
mirage11–13-0.0618%25 Aug →
mirage13–40.0115%24 Aug →
dust213–30.0027%24 Aug →
overpass11–130.0118%24 Aug →
dust213–40.0218%24 Aug →
mirage6–13-0.0320%24 Aug →
mirage11–130.0713%23 Aug →
mirage0–10-0.0317%19 Aug →
dust211–130.0320%19 Aug →
mirage13–8-0.0014%19 Aug →
dust212–12-0.0122%19 Aug →
dust23–130.0213%19 Aug →
dust210–130.0519%18 Aug →
mirage3–13-0.106%18 Aug →
inferno13–80.0526%18 Aug →
cache13–50.0528%18 Aug →
dust213–90.0724%17 Aug →
mirage13–50.0342%17 Aug →
mirage7–13-0.0110%17 Aug →
overpass6–3-0.0145%17 Aug →
dust210–130.0230%17 Aug →
mirage13–100.0323%17 Aug →
dust28–13-0.0029%17 Aug →
dust212–120.1522%16 Aug →
mirage4–13-0.1210%16 Aug →
mirage10–13-0.0624%15 Aug →
dust213–90.0020%15 Aug →
mirage13–60.0236%15 Aug →
dust213–100.0521%15 Aug →
dust213–80.0431%15 Aug →
mirage13–40.0531%14 Aug →
mirage11–130.1028%25 Jul →
dust20–13-0.040%24 Jul →
nuke13–40.0727%24 Jul →
mirage0–13-0.030%23 Jul →
mirage13–90.0119%23 Jul →
mirage1–13-0.0158%17 Jul →
inferno13–11-0.0224%17 Jul →
inferno11–13-0.0525%17 Jul →
cache13–30.0222%17 Jul →
mirage13–90.0229%16 Jul →
nuke1–13-0.109%15 Jul →
dust24–13-0.0517%15 Jul →
dust213–40.1628%15 Jul →
mirage10–130.0230%14 Jul →
dust213–00.0931%10 Jul →
inferno6–130.0030%10 Jul →
mirage12–120.0124%10 Jul →
mirage8–130.0727%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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