MerKatO

MerKatO — CS2 Stats

JP76561198273464361[U:1:313198633]Steam profile ↗✓ No bans

492Tracked matches59%Win rate2021Tracked since
945Hours in CS
CSDB Rating3.6 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 492 tracked matches. Play, then come back: the next observation lands here.

Rating over time

65Days played since 2026-03-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 4 Sep 2026 and 2 Oct 2026.

Measured 4 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,922), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate41.0%41.3%41.8%0.8% short
Shot accuracy12.2%12.7%12.2%meets
Kill/death ratio0.650.950.980.33 short
Match win rate37.3%42.6%43.3%5.9% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMerKatOFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim29
Positioning36
Utility36

0–100 skill scores via Leetify.

Recent form

HOT48–45–7Last 10048%Win rateWLWWLWWLWW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +0.1pp headshot accuracy · +5ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 769ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 739ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 736ms

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 (+1.2 against its own average).

Aim2.9
Utility3.6
Positioning3.6
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% 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. 750ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.9
Positioning3.6
Utility3.6
Mechanics3.8
Opening Duels0.7
Win Impact7.9

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time748ms−47ms
first ⅓ avg 795ms → last ⅓ avg 748ms
Headshot accuracy14.4%−0.7%
first ⅓ avg 15.0% → last ⅓ avg 14.4%

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

0.05Best match rating · 5–9 · cache, 15 Jul →
42%Best headshot accuracy · 1–9 · inferno, 28 Apr →
453msFastest reaction time · 1–9 · inferno, 28 Apr →
13–1Biggest win · cache, 1 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 80% over 20mirageWeakest map · 27% over 30
MapGradePlayedRecordWin rateAvg rating
mirageD308–2227%-0.06
cacheB2915–1452%-0.06
dust2S2016–480%-0.04
infernoC83–538%-0.06
vertigo—20–20%-0.05
office—20–20%-0.02
overpass—22–0100%-0.08
ancient—21–150%-0.07
fachwerk—11–0100%-0.10
train—11–0100%0.04
stronghold—10–10%-0.04
nuke—11–0100%-0.01
anubis—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,699Lifetime kills
0.65K/D
2,573Matches
37.3%Match win rate
41.0%Headshot %
12.2%Shot accuracy
3,183MVPs
945Hours (in match)
2,496Bombs planted
247Bombs defused

Most-used weapons

Lifetime map wins

4,259dust2
3,571inferno
834nuke
695train
639cbble
562vertigo
134office
132assault

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

Faceit stats

Combat

24Matches
50%Win rate
0.56Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

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.

14.4%Headshot accuracy
27.4%Accuracy (enemy spotted)
32.0%Spray accuracy
67.1%Counter-strafing
8.4°Preaim
750msReaction time
22.8%T opening success
35.8%CT opening success
0.60Enemies flashed / flash
6.4%Flash assists
8.84HE damage / grenade
3.66Flashes / 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 14.387% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 749.6315ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6607 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

27% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–2-0.0521%31 Aug →
inferno8–13-0.0812%20 Aug →
cache13–10-0.0322%20 Aug →
mirage13–8-0.0522%20 Aug →
vertigo11–13-0.0111%17 Aug →
cache13–7-0.0613%14 Aug →
cache13–7-0.1010%13 Aug →
inferno6–13-0.110%11 Aug →
dust213–11-0.0522%10 Aug →
cache13–8-0.0810%7 Aug →
dust213–11-0.0724%6 Aug →
mirage9–13-0.0218%6 Aug →
cache7–13-0.1012%28 Jul →
mirage6–13-0.0212%28 Jul →
inferno13–3-0.0411%22 Jul →
dust213–6-0.0618%22 Jul →
mirage6–13-0.069%19 Jul →
mirage9–13-0.0517%15 Jul →
cache5–90.0513%15 Jul →
cache13–5-0.068%14 Jul →
mirage13–9-0.0721%13 Jul →
cache11–13-0.0524%10 Jul →
fachwerk13–8-0.109%10 Jul →
office12–12-0.0116%2 Jul →
mirage10–13-0.0610%2 Jul →
cache13–8-0.0912%2 Jul →
overpass16–14-0.1014%1 Jul →
dust213–5-0.0410%1 Jul →
cache13–1-0.059%1 Jul →
inferno5–13-0.0814%30 Jun →
dust213–6-0.0418%29 Jun →
mirage13–9-0.0527%28 Jun →
train13–80.046%26 Jun →
overpass13–5-0.0615%26 Jun →
mirage4–13-0.096%18 Jun →
dust213–9-0.089%17 Jun →
stronghold4–13-0.0413%14 Jun →
cache5–13-0.0614%12 Jun →
ancient0–13-0.050%6 Jun →
inferno13–11-0.0421%6 Jun →
mirage13–10-0.057%4 Jun →
cache3–13-0.0617%3 Jun →
mirage8–13-0.1019%31 May →
cache12–12-0.0320%30 May →
cache8–13-0.0113%28 May →
cache9–13-0.0714%28 May →
cache6–13-0.0926%28 May →
cache13–11-0.0217%27 May →
office6–13-0.0414%26 May →
mirage5–13-0.0718%21 May →
dust213–8-0.0519%20 May →
cache13–8-0.0621%20 May →
cache13–10-0.0518%19 May →
mirage9–13-0.109%17 May →
dust212–1-0.050%17 May →
cache12–12-0.0315%17 May →
cache11–13-0.0814%14 May →
cache12–12-0.0010%1 May →
cache13–8-0.107%30 Apr →
cache13–10-0.0813%29 Apr →
cache13–4-0.0417%29 Apr →
cache4–13-0.0815%29 Apr →
cache8–13-0.1213%29 Apr →
cache13–4-0.0119%29 Apr →
inferno1–9-0.0342%28 Apr →
dust25–13-0.1121%26 Apr →
dust210–13-0.0910%24 Apr →
dust213–3-0.089%22 Apr →
mirage12–12-0.105%21 Apr →
dust28–1-0.0120%21 Apr →
mirage9–13-0.114%18 Apr →
dust213–8-0.0211%18 Apr →
mirage1–5-0.050%13 Apr →
mirage12–12-0.0522%9 Apr →
mirage8–13-0.0724%8 Apr →
dust213–11-0.056%8 Apr →
mirage12–12-0.0621%7 Apr →
mirage13–8-0.0414%6 Apr →
vertigo5–13-0.0917%5 Apr →
nuke13–4-0.0121%5 Apr →
ancient13–6-0.098%5 Apr →
mirage9–13-0.0314%2 Apr →
dust213–30.0213%2 Apr →
mirage10–13-0.0615%2 Apr →
dust213–9-0.0728%1 Apr →
dust213–8-0.019%26 Mar →
inferno4–13-0.0812%26 Mar →
mirage10–13-0.0417%25 Mar →
dust27–13-0.0520%24 Mar →
mirage8–13-0.1111%21 Mar →
dust213–20.0316%18 Mar →
mirage1–5-0.0229%18 Mar →
mirage3–13-0.1217%13 Mar →
mirage13–90.0224%11 Mar →
dust28–10-0.0225%11 Mar →
mirage10–13-0.089%10 Mar →
mirage13–4-0.0715%10 Mar →
anubis9–13-0.0411%10 Mar →
inferno13–30.0016%9 Mar →
mirage13–10-0.0114%9 Mar →

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.