Merkaus

Merkaus — CS2 Stats

NO76561198093115161[U:1:132849433]Steam profile ↗✓ No bans

1,066Tracked matches44%Win rate2020Tracked since
4,262Hours in CS1Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating17,441Purple band · top ~18.7% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 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: 17,441 +1,283 25 Sept – 19 Oct · 14 days played
15,25817,678peak 17,67825 Sept19 Oct
17,678Peak Premier in tracked matches
39Days played since 2025-09-25

Premier CS Rating

  • 237 below peak (17,678)
  • Next: Pink band at 20,000 — 2,559 to go
  • Reached: 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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate47.1%44.8%45.7%above
Shot accuracy20.7%12.4%12.7%above
Kill/death ratio0.951.031.050.10 short
Match win rate32.1%45.2%45.7%13.6% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMerkausFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,441 · Purple 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

Aim69
Positioning49
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLLWWTWLLWT

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +18ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 617ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 686ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 677ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim6.9
Utility4.2
Positioning4.9
Opening Duels2.6
Clutch1.0

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

iM

Plays most like iM 98% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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. 666ms 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

Aim6.9
Positioning4.9
Utility4.2
Mechanics5.9
Opening Duels2.1
Win Impact3.1

Composite 5.1/10 (Developing), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time667ms+23ms
first ⅓ avg 644ms → last ⅓ avg 667ms
Headshot accuracy23.2%−0.3%
first ⅓ avg 23.5% → last ⅓ avg 23.2%

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

0.13Best match rating · 13–5 · mirage, 14 Feb →
46%Best headshot accuracy · 13–10 · train, 4 Oct →
414msFastest reaction time · 5–13 · mirage, 28 Aug →
13–2Biggest win · cache, 9 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 71% over 17anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientS1712–571%-0.00
mirageA159–660%0.02
dust2C156–940%0.01
infernoB147–750%-0.01
nukeB105–550%-0.00
overpassD92–722%-0.00
anubisD51–420%0.00
cacheC52–340%-0.01
vertigo—31–233%0.00
office—22–0100%0.04
cache_b—21–150%0.03
train—22–0100%0.09
palacio—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

215,313Lifetime kills
0.95K/D
7,662Matches
32.1%Match win rate
47.1%Headshot % · Top 50% of Level 6 players
20.7%Shot accuracy · Top 5% of Level 6 players
14,414MVPs
4,028Hours (in match)
4,180Bombs planted
1,767Bombs defused

Most-used weapons

AK-4794,671
AWP29,785
P2503,484
SSG 081,899
FAMAS1,875

Lifetime map wins

7,820dust2
5,357inferno
2,378train
2,355nuke
1,663cbble
1,612vertigo
168lake
99office

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

Faceit stats

Combat

635Matches
51%Win rate
1.04Avg K/D
68.2ADR
39%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1275%1.1915.9
Mirage1040%0.9314.9
Inferno650%0.487.5
Vertigo560%1.4517.8
Dust2580%0.9514.6
Anubis425%1.2014.8
Nuke250%0.9513.5
Overpass10%0.336.0

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.

23.3%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.7%Spray accuracy
76.7%Counter-strafing
9.1°Preaim
666msReaction time
37.9%T opening success
39.0%CT opening success
0.63Enemies flashed / flash
11.1%Flash assists
9.76HE damage / grenade
2.52Flashes / 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. Grenades & Utility

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

    Flashes per match 2.5246 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 37.9173% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0026%19 Oct →
cache6–130.0118%18 Oct →
mirage13–11-0.0122%11 Oct →
ancient13–60.0014%11 Oct →
inferno15–150.0311%11 Oct →
cache13–10-0.0527%9 Oct →
dust26–13-0.0335%9 Oct →
inferno9–13-0.0822%9 Oct →
dust213–50.0238%9 Oct →
vertigo8–8-0.0520%9 Oct →
anubis14–16-0.0320%15 Sept →
cache9–13-0.0327%12 Sept →
mirage13–9-0.0027%12 Sept →
inferno9–130.0223%9 Sept →
dust29–13-0.0123%9 Sept →
mirage15–15-0.0122%9 Sept →
mirage10–13-0.0120%28 Aug →
dust213–110.0017%28 Aug →
anubis10–130.0026%28 Aug →
mirage5–13-0.0140%28 Aug →
dust28–130.0826%28 Aug →
ancient16–130.0325%28 Aug →
dust214–160.0326%26 Aug →
ancient13–30.0523%26 Aug →
cache7–130.0220%26 Aug →
nuke13–80.0221%15 Aug →
ancient13–11-0.0519%15 Aug →
ancient15–15-0.0025%9 Jun →
inferno10–13-0.089%30 May →
mirage13–50.0331%30 May →
ancient13–11-0.0226%30 May →
dust213–110.0418%29 May →
ancient13–70.0417%29 May →
nuke9–5-0.078%26 May →
mirage13–30.0824%26 May →
nuke10–13-0.039%23 May →
ancient16–13-0.0113%23 May →
inferno13–8-0.017%10 May →
dust213–70.0513%9 May →
cache13–20.009%9 May →
nuke8–13-0.0718%9 May →
inferno4–13-0.0416%8 May →
ancient13–8-0.0612%8 May →
vertigo13–80.0121%17 Mar →
overpass4–00.0420%17 Mar →
ancient4–13-0.038%17 Mar →
mirage13–10-0.0321%16 Mar →
dust28–13-0.0922%16 Mar →
mirage12–120.0519%12 Mar →
overpass8–130.1022%12 Mar →
nuke5–13-0.0520%12 Mar →
vertigo12–120.0519%5 Mar →
mirage11–13-0.0211%28 Feb →
inferno9–60.0713%23 Feb →
mirage13–60.0728%23 Feb →
nuke6–13-0.0314%23 Feb →
anubis15–15-0.0218%21 Feb →
ancient13–90.0924%21 Feb →
anubis13–60.0719%16 Feb →
inferno13–11-0.0430%16 Feb →
overpass8–13-0.0413%14 Feb →
nuke13–60.0812%14 Feb →
mirage13–50.1327%14 Feb →
overpass8–13-0.0420%14 Feb →
mirage9–13-0.0424%14 Feb →
inferno13–80.0720%12 Feb →
nuke13–30.0418%12 Feb →
inferno13–60.0712%12 Feb →
office13–40.1026%11 Feb →
nuke11–130.1025%11 Feb →
mirage13–90.0128%24 Jan →
ancient10–13-0.0219%24 Jan →
dust28–13-0.0319%24 Jan →
overpass11–130.0425%21 Nov →
cache_b10–130.0424%25 Oct →
ancient13–50.0433%25 Oct →
inferno4–13-0.0821%25 Oct →
cache_b13–90.0224%25 Oct →
overpass15–15-0.0313%9 Oct →
nuke13–110.0022%9 Oct →
train13–40.1333%8 Oct →
dust27–130.0535%8 Oct →
inferno13–3-0.0418%4 Oct →
inferno13–11-0.0530%4 Oct →
dust213–9-0.0213%4 Oct →
ancient8–13-0.088%4 Oct →
train13–100.0546%4 Oct →
office13–5-0.0327%4 Oct →
mirage13–80.0323%3 Oct →
dust213–110.0419%3 Oct →
inferno9–130.0527%3 Oct →
palacio12–120.0728%3 Oct →
overpass9–13-0.0326%1 Oct →
ancient13–10-0.0430%1 Oct →
overpass10–13-0.0816%1 Oct →
ancient11–130.0335%26 Sept →
dust211–13-0.0216%26 Sept →
overpass13–110.0212%26 Sept →
ancient13–80.0326%26 Sept →
dust29–13-0.0118%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.