damocles down

damocles down — CS2 Stats

US76561198161413189[U:1:201147461]Steam profile ↗✓ No bans

1,307Tracked matches23%Win rate2020Tracked since
2,474Hours in CS
CSDB Rating5.1 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 1,307
−3.3ppWin rate · 26.7% → 23.3%

Rating over time

Premier CS Rating: 18,800 +6,454 17 Jul – 14 Jul · 10 days played
10,63619,655peak 19,65517 Jul14 Jul
19,690Peak Premier in tracked matches
58Days played since 2024-07-17

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

MetricLast 30Previous 30Change
Matches8——
Win rate63%——
K/D0.91——
Headshot %44%——

Measured 16 Sep 2026 → 17 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 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate40.4%46.8%48.2%7.8% short
Shot accuracy14.9%13.0%13.2%above
Kill/death ratio0.861.061.070.21 short
Match win rate43.0%46.3%46.9%3.9% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdamocles downFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning44
Utility49

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLWLWWLLLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · −14ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 653ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 660ms

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 (+1.5 against its own average).

Aim6.8
Utility4.9
Positioning4.4
Opening Duels0.4
Clutch3.8

Excellent counter-strafing

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

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

Aim6.8
Positioning4.4
Utility4.9
Mechanics9.4
Opening Duels0.8
Win Impact0.0

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-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time662ms−52ms
first ⅓ avg 715ms → last ⅓ avg 662ms
Headshot accuracy20.4%+1.6%
first ⅓ avg 18.7% → last ⅓ avg 20.4%

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

0.13Best match rating · 13–2 · nuke, 2 Jul →
41%Best headshot accuracy · 3–13 · office, 14 Dec →
430msFastest reaction time · 3–13 · office, 14 Dec →
13–1Biggest win · inferno, 8 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 69% over 13ancientWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
ancientD205–1525%-0.02
mirageC177–1041%-0.02
dust2A169–756%-0.01
nukeD155–1033%-0.02
infernoS139–469%-0.01
anubisC73–443%-0.02
cache—31–233%-0.02
train—33–0100%0.05
overpass—22–0100%-0.01
vertigo—21–150%-0.07
office—10–10%0.01
mills—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,250Lifetime kills
0.86K/D
5,231Matches
43.0%Match win rate
40.4%Headshot %
14.9%Shot accuracy · Top 50% of Level 8 players
11,592MVPs
2,474Hours (in match)
5,784Bombs planted
1,401Bombs defused

Most-used weapons

AK-4728,601
AWP8,373
Tec-93,082
P2502,537
FAMAS2,429
MP92,387

Lifetime map wins

26,769dust2
5,958inferno
1,598nuke
1,208vertigo
780office
778train
187cbble
87militia

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

Faceit stats

Combat

257Matches
57%Win rate
0.95Avg K/D
70.9ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1346%0.8114.7
Inferno1385%0.8615.2
Ancient911%0.7414.0
Anubis667%1.3614.3
Vertigo560%0.6911.0
Nuke4100%0.7714.0
Dust2475%0.7714.0

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.

20.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
38.9%Spray accuracy
92.2%Counter-strafing
11.0°Preaim
666msReaction time
34.6%T opening success
31.6%CT opening success
0.68Enemies flashed / flash
7.7%Flash assists
10.65HE damage / grenade
9.17Flashes / 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 34.6218% — 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.

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0022%3 Oct →
dust213–7-0.0625%3 Oct →
anubis9–13-0.0116%3 Oct →
dust213–9-0.0916%26 Sept →
cache13–10-0.0215%26 Sept →
mirage5–13-0.0814%22 Jun →
ancient9–13-0.0321%22 Jun →
inferno3–13-0.0613%22 Jun →
dust210–13-0.0421%8 Jun →
mirage4–13-0.0815%7 Jun →
dust213–10-0.0712%7 Jun →
cache8–13-0.0526%8 May →
nuke11–13-0.0415%8 May →
nuke9–13-0.0124%19 Apr →
nuke8–13-0.0120%19 Apr →
inferno7–13-0.0324%19 Apr →
dust25–13-0.1213%19 Apr →
ancient13–11-0.0115%24 Feb →
mirage6–130.0527%23 Feb →
mirage2–10-0.0729%18 Feb →
nuke11–13-0.0217%16 Feb →
ancient3–13-0.0331%16 Feb →
inferno13–80.0322%7 Feb →
ancient2–130.0517%7 Feb →
dust25–13-0.0124%7 Feb →
ancient10–130.0219%3 Jan →
nuke5–13-0.1038%6 Dec →
mirage0–13-0.0613%29 Nov →
nuke7–13-0.0839%22 Nov →
overpass16–130.0420%3 Sept →
inferno13–70.0319%1 Sept →
overpass9–6-0.0613%29 Aug →
mirage16–14-0.0416%24 Aug →
train13–9-0.0015%24 Aug →
inferno10–13-0.0131%24 Aug →
ancient13–16-0.0327%23 Aug →
dust211–13-0.0122%3 Aug →
dust26–13-0.0330%14 Jul →
dust213–90.0621%14 Jul →
train13–50.0619%14 Jul →
mirage8–13-0.0523%9 Jul →
anubis5–13-0.0427%4 Jul →
ancient10–130.0118%2 Jul →
nuke13–20.1331%2 Jul →
ancient10–130.0013%30 Jun →
ancient13–6-0.0122%27 Jun →
nuke13–90.0025%27 Jun →
ancient7–13-0.069%18 Jun →
ancient13–80.0221%4 Jun →
mirage13–9-0.0135%4 Jun →
mirage9–13-0.0418%29 May →
nuke9–13-0.0427%28 May →
ancient8–13-0.0814%26 May →
nuke13–7-0.0229%26 May →
mirage8–13-0.0710%26 May →
nuke8–13-0.0028%26 May →
anubis13–8-0.0616%26 May →
mirage13–11-0.0626%9 May →
anubis4–130.0115%8 May →
dust215–150.0221%8 May →
inferno13–110.0526%8 May →
dust213–30.0921%8 May →
dust213–90.1128%7 May →
mirage13–80.0233%17 Mar →
nuke15–15-0.0313%17 Mar →
ancient9–13-0.058%17 Mar →
inferno13–30.0117%17 Mar →
dust213–10-0.0010%17 Mar →
inferno13–10.0713%8 Mar →
nuke13–40.0228%24 Feb →
mirage7–13-0.039%24 Feb →
vertigo13–6-0.059%21 Dec →
ancient13–11-0.0429%21 Dec →
mirage13–110.0123%21 Dec →
dust213–10-0.059%21 Dec →
inferno13–9-0.069%19 Dec →
inferno16–14-0.0622%15 Dec →
mirage13–110.0414%15 Dec →
train13–60.0925%14 Dec →
office3–130.0141%14 Dec →
vertigo3–13-0.0927%14 Dec →
mirage13–50.0314%28 Nov →
dust29–13-0.0514%12 Nov →
ancient4–13-0.0610%11 Nov →
anubis11–00.0422%10 Nov →
nuke13–10-0.0629%10 Nov →
ancient2–13-0.0914%10 Nov →
nuke8–13-0.0133%28 Oct →
anubis12–16-0.0318%17 Oct →
dust213–110.0313%15 Oct →
anubis13–8-0.0316%14 Oct →
inferno22–18-0.0113%8 Oct →
inferno13–7-0.0725%10 Sept →
ancient15–190.0016%9 Sept →
inferno9–13-0.0716%9 Sept →
ancient13–6-0.0017%4 Aug →
ancient6–13-0.0714%22 Jul →
mirage6–130.0829%19 Jul →
mills8–130.0225%17 Jul →
ancient9–13-0.0314%17 Jul →

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.