Domce

Domce — CS2 Stats

LT76561199028150527[U:1:1067884799]Steam profile ↗✓ No bans

622Tracked matches59%Win rate2020Tracked since
910Hours in CS
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 3 · 896 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,491 +549 30 Jan – 5 May · 39 days played
9,99912,491peak 12,49130 Jan5 May
12,491Peak Premier in tracked matches
896Highest Faceit ELO seen on CSDB
41Days played since 2026-01-30

Faceit ELO

  • At peak — 896
  • Next: Level 4 at 901 — 5 to go
  • Reached: Level 3 · Level 2

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

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 3 among CSDB-tracked players (n=10,045), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.2%41.8%42.7%6.5% short
Shot accuracy14.3%12.2%11.3%above
Kill/death ratio1.030.980.99above
Match win rate43.3%43.3%43.9%meets

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDomceFACEITLevel 3 · 896 ELOSTANDINGTop 90.6% of rankedPEAK ELO896csdb.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

Aim63
Positioning49
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWLLWWLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · −22ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 652ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 663ms

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 (+0.9 against its own average).

Aim6.3
Utility4.4
Positioning4.9
Opening Duels4.4
Clutch2.4

Strong CT-side openerEffective flashesLimited 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

ZywOo

Plays most like ZywOo 93% 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

T-side openings. Opening success drops from 59% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim6.3
Positioning4.9
Utility4.4
Mechanics7.5
Opening Duels3.9
Win Impact7.9

Composite 5.3/10 (Developing), 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+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time678ms−5ms
first ⅓ avg 683ms → last ⅓ avg 678ms
Headshot accuracy18.3%+1.3%
first ⅓ avg 17.0% → last ⅓ avg 18.3%

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

0.15Best match rating · 13–4 · cache, 7 May →
43%Best headshot accuracy · 5–13 · dust2, 11 Aug →
469msFastest reaction time · 1–13 · nuke, 19 Mar →
13–2Biggest win · mirage, 2 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3212–2038%-0.01
mirageA3219–1359%0.00
nukeB136–746%-0.03
ancientD72–529%-0.01
infernoB63–350%-0.01
anubisA53–260%0.01
cache—31–233%0.03
overpass—20–20%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,093Lifetime kills
1.03K/D · Top 50% of Level 3 players
2,266Matches
43.3%Match win rate · Top 50% of Level 3 players
36.2%Headshot %
14.3%Shot accuracy · Top 50% of Level 3 players
5,182MVPs
910Hours (in match)
2,742Bombs planted
386Bombs defused

Most-used weapons

Lifetime map wins

5,951dust2
1,735nuke
1,450inferno
625vertigo
308train
160cbble
98lake
52office

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

Faceit stats

Combat

107Matches
47%Win rate
1.00Avg K/D
75.0ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3661%1.2417.4
Dust23336%0.9014.2
Nuke1267%0.9215.8
Inferno617%0.9416.0
Ancient650%0.8417.2
Anubis40%0.6914.8

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.

17.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.8%Spray accuracy
83.5%Counter-strafing
9.8°Preaim
673msReaction time
32.5%T opening success
58.9%CT opening success
0.74Enemies flashed / flash
4.0%Flash assists
9.58HE damage / grenade
4.14Flashes / 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 32.5054% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.1043%11 Aug →
cache13–40.1523%7 May →
cache6–13-0.0612%7 May →
cache9–13-0.0116%7 May →
dust213–8-0.0414%5 May →
dust213–60.1127%5 May →
inferno0–13-0.0311%28 Apr →
mirage13–60.0414%28 Apr →
inferno13–80.0622%27 Apr →
dust211–130.0516%27 Apr →
overpass9–130.0122%25 Apr →
nuke0–10-0.130%23 Apr →
mirage13–80.0524%22 Apr →
anubis13–60.0213%22 Apr →
dust213–5-0.0521%22 Apr →
mirage13–40.0719%22 Apr →
ancient11–13-0.0112%17 Apr →
anubis16–13-0.0310%17 Apr →
mirage2–130.0317%16 Apr →
dust212–16-0.0227%15 Apr →
dust215–15-0.0620%15 Apr →
mirage13–40.0319%2 Apr →
mirage13–8-0.0012%1 Apr →
dust24–13-0.0715%31 Mar →
dust23–13-0.0714%29 Mar →
mirage13–10-0.0016%29 Mar →
inferno13–8-0.0512%26 Mar →
nuke13–7-0.0219%26 Mar →
mirage13–11-0.0118%26 Mar →
nuke13–70.067%26 Mar →
dust28–13-0.0235%26 Mar →
nuke13–50.0829%24 Mar →
dust25–13-0.0424%24 Mar →
mirage4–13-0.0226%24 Mar →
ancient7–13-0.0227%23 Mar →
nuke6–130.0318%23 Mar →
mirage11–13-0.018%23 Mar →
mirage13–10-0.0426%22 Mar →
dust213–100.0517%22 Mar →
dust27–130.0130%21 Mar →
mirage13–30.0413%21 Mar →
dust25–13-0.1113%20 Mar →
mirage11–13-0.018%20 Mar →
nuke13–7-0.0910%19 Mar →
mirage14–160.0123%19 Mar →
nuke9–13-0.0511%19 Mar →
anubis10–13-0.0112%19 Mar →
nuke1–13-0.0817%19 Mar →
dust21–13-0.097%19 Mar →
nuke1–13-0.0717%16 Mar →
dust213–10-0.0122%16 Mar →
nuke11–13-0.046%16 Mar →
inferno13–8-0.0624%13 Mar →
dust213–40.1133%13 Mar →
overpass4–13-0.0319%11 Mar →
nuke8–13-0.0523%11 Mar →
mirage13–8-0.0130%11 Mar →
mirage13–11-0.0213%10 Mar →
mirage12–16-0.0314%10 Mar →
dust216–130.0411%9 Mar →
dust210–13-0.0322%9 Mar →
dust213–80.0215%4 Mar →
dust28–13-0.0425%4 Mar →
ancient13–70.0613%3 Mar →
dust27–13-0.0224%3 Mar →
dust29–130.0328%3 Mar →
mirage13–100.019%3 Mar →
anubis13–30.0519%3 Mar →
nuke9–00.0417%3 Mar →
mirage7–130.057%2 Mar →
ancient13–11-0.0224%2 Mar →
mirage13–50.098%25 Feb →
nuke13–7-0.0717%25 Feb →
dust26–130.0510%25 Feb →
mirage6–13-0.0422%25 Feb →
dust210–13-0.0313%25 Feb →
dust213–11-0.064%24 Feb →
mirage13–60.0219%24 Feb →
mirage4–13-0.0613%24 Feb →
mirage13–8-0.0019%24 Feb →
mirage13–100.1219%24 Feb →
dust210–13-0.0416%23 Feb →
ancient5–130.029%23 Feb →
dust213–10-0.0228%8 Feb →
dust213–60.0117%7 Feb →
dust213–7-0.0138%7 Feb →
dust25–130.019%5 Feb →
mirage15–15-0.0518%5 Feb →
mirage4–13-0.0910%5 Feb →
inferno15–15-0.0218%3 Feb →
anubis2–130.0121%2 Feb →
mirage13–20.0740%2 Feb →
dust27–13-0.040%1 Feb →
mirage11–13-0.0410%1 Feb →
inferno9–130.0216%31 Jan →
mirage13–100.0217%31 Jan →
ancient3–13-0.0721%31 Jan →
mirage13–7-0.0118%30 Jan →
ancient4–13-0.0319%30 Jan →
mirage6–13-0.0525%30 Jan →

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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