domcaaa

domcaaa — CS2 Stats

SK76561198880509861[U:1:920244133]Steam profile ↗✓ No bans

651Tracked matches57%Win rate2023Tracked since
842Hours in CS4Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,901Purple band · top ~20.8% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (4 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: 16,901 -1,126 31 Aug – 15 Oct · 21 days played
15,61918,206peak 18,20631 Aug15 Oct
18,303Peak Premier in tracked matches
19Days played since 2026-08-31

Premier CS Rating

  • 1,305 below peak (18,206)
  • +1,282 over 30 days · improving
  • Next: Pink band at 20,000 — 3,099 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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 7 among CSDB-tracked players (n=14,220), 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 7 medianLevel 8 medianvs Level 8
Headshot rate53.9%45.7%46.8%above
Shot accuracy1.4%12.7%13.0%11.6% short
Kill/death ratio1.171.051.06above
Match win rate50.8%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdomcaaaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,901 · 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

Aim82
Positioning53
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWWWLWWLLTW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.0pp headshot accuracy · +9ms 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 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 552ms

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 (+1.8 against its own average).

Aim8.2
Utility3.9
Positioning5.3
Opening Duels1.3
Clutch3.6

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 550ms 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

Aim8.2
Positioning5.3
Utility3.9
Mechanics7.2
Opening Duels2.7
Win Impact7.4

Composite 6.2/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time549ms−38ms
first ⅓ avg 586ms → last ⅓ avg 549ms
Headshot accuracy21.9%−2.0%
first ⅓ avg 24.0% → last ⅓ avg 21.9%

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 · 13–7 · nuke, 28 Sept →
43%Best headshot accuracy · 13–2 · mirage, 12 Sept →
422msFastest reaction time · 8–13 · anubis, 14 Sept →
13–1Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
5–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%0.02
anubisC177–1041%-0.00
dust2B157–847%0.01
infernoB147–750%-0.00
cacheC114–736%-0.01
ancientA117–464%-0.01
nukeD72–529%0.02
office—33–0100%0.01
vertigo—21–150%-0.04
train—10–10%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

18,684Lifetime kills
1.17K/D · Top 50% of Level 7 players
1,023Matches
50.8%Match win rate · Top 25% of Level 7 players
53.9%Headshot % · Top 25% of Level 7 players
1.4%Shot accuracy
3,098MVPs
368Hours (in match)
919Bombs planted
243Bombs defused

Most-used weapons

Lifetime map wins

1,678inferno
1,254dust2
1,228nuke
269vertigo
144office
130train
108cbble
6italy

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

Faceit stats

Combat

94Matches
53%Win rate
1.15Avg K/D
82.7ADR
57%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2365%1.2318.2
Dust21947%1.0415.5
Inferno1443%1.1713.7
Nuke1354%1.2218.9
Cache1145%1.3116.6
Anubis850%1.0215.1
Ancient580%0.9315.8
Overpass10%0.466.0

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.

21.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.9%Spray accuracy
82.4%Counter-strafing
7.8°Preaim
550msReaction time
39.3%T opening success
42.5%CT opening success
0.58Enemies flashed / flash
0.7%Flash assists
8.94HE damage / grenade
4.36Flashes / 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 39.2801% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–7-0.0122%15 Oct →
inferno13–10-0.0018%15 Oct →
mirage13–10.1115%15 Oct →
anubis13–160.0014%15 Oct →
mirage13–7-0.069%3 Oct →
cache13–20.0223%3 Oct →
cache8–13-0.0117%3 Oct →
cache11–130.0121%2 Oct →
cache15–15-0.0320%2 Oct →
ancient13–7-0.0216%2 Oct →
cache13–100.0222%1 Oct →
cache13–100.0317%1 Oct →
mirage13–110.0121%1 Oct →
inferno9–70.024%1 Oct →
dust23–130.0222%1 Oct →
mirage10–13-0.0218%1 Oct →
inferno11–13-0.0131%30 Sept →
cache12–16-0.0626%30 Sept →
mirage13–100.0434%30 Sept →
dust213–50.1018%30 Sept →
cache9–130.0229%30 Sept →
inferno13–80.0522%29 Sept →
mirage6–13-0.0320%29 Sept →
mirage4–130.0111%29 Sept →
anubis13–90.0220%29 Sept →
mirage13–10.1016%29 Sept →
dust215–150.0323%29 Sept →
ancient13–70.0433%29 Sept →
dust25–13-0.0541%28 Sept →
mirage5–130.0926%28 Sept →
nuke13–70.1530%28 Sept →
inferno4–13-0.0933%28 Sept →
anubis13–40.0931%28 Sept →
dust20–13-0.0827%28 Sept →
dust22–13-0.0418%28 Sept →
mirage11–13-0.0116%28 Sept →
anubis3–13-0.0620%23 Sept →
inferno13–11-0.0126%23 Sept →
vertigo13–6-0.0422%23 Sept →
vertigo6–13-0.0414%23 Sept →
anubis16–12-0.0129%21 Sept →
anubis0–5-0.0210%20 Sept →
nuke8–130.0719%20 Sept →
ancient13–100.0524%18 Sept →
anubis13–80.0331%18 Sept →
ancient13–10-0.0324%18 Sept →
inferno13–90.0631%17 Sept →
dust213–50.1022%17 Sept →
mirage9–130.0222%17 Sept →
mirage8–130.0714%17 Sept →
ancient6–13-0.0618%17 Sept →
cache13–9-0.0440%17 Sept →
anubis13–9-0.0215%17 Sept →
anubis13–7-0.0217%17 Sept →
anubis12–12-0.0233%17 Sept →
nuke7–13-0.0129%14 Sept →
nuke7–130.0429%14 Sept →
inferno11–13-0.0022%14 Sept →
mirage13–11-0.0127%14 Sept →
anubis8–13-0.0528%14 Sept →
inferno9–13-0.0615%14 Sept →
cache10–13-0.0319%14 Sept →
mirage13–8-0.1028%14 Sept →
dust26–13-0.0431%14 Sept →
dust23–13-0.0920%12 Sept →
mirage13–20.0543%12 Sept →
dust216–130.0425%12 Sept →
anubis9–13-0.038%12 Sept →
inferno7–13-0.0219%12 Sept →
nuke3–13-0.0725%12 Sept →
ancient13–30.0322%12 Sept →
anubis2–13-0.1029%12 Sept →
inferno8–13-0.0321%10 Sept →
dust213–9-0.0017%10 Sept →
inferno13–5-0.0318%10 Sept →
dust213–80.0018%10 Sept →
mirage14–160.0121%10 Sept →
nuke5–13-0.0319%10 Sept →
nuke13–60.0019%10 Sept →
ancient16–14-0.0120%10 Sept →
anubis9–13-0.0112%10 Sept →
anubis9–30.0640%10 Sept →
inferno8–80.0621%9 Sept →
dust213–90.1436%9 Sept →
train10–13-0.0723%9 Sept →
cache8–13-0.0316%9 Sept →
anubis12–12-0.0232%9 Sept →
ancient13–6-0.0327%9 Sept →
inferno13–70.0727%8 Sept →
mirage13–60.0237%8 Sept →
ancient9–130.0230%8 Sept →
mirage13–50.0130%8 Sept →
ancient9–13-0.0329%4 Sept →
ancient12–12-0.0320%4 Sept →
mirage6–130.0329%3 Sept →
dust213–90.0719%3 Sept →
dust212–12-0.0829%3 Sept →
anubis10–130.1017%3 Sept →
office13–10.0927%3 Sept →
office7–2-0.0436%3 Sept →

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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