døc

døc — CS2 Stats

RO76561197961555557[U:1:1289829]Steam profile ↗✓ No bans

1,113Tracked matches56%Win rate2020Tracked since
3,339Hours in CS24Hrs last 2 wks
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating18,038Purple band · top ~16.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+363Premier CS Rating · 17,675 → 18,038

Rating over time

Premier CS Rating: 18,038 +722 19 Aug – 15 Nov · 45 days played
16,93919,280peak 19,28019 Aug15 Nov
19,644Peak Premier in tracked matches
49Days played since 2026-08-19

Premier CS Rating

  • 1,242 below peak (19,280)
  • -701 over 30 days · declining
  • +722 over 90 days
  • Next: Pink band at 20,000 — 1,962 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 2 among CSDB-tracked players (n=6,219), 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 rate46.1%41.3%41.8%above
Shot accuracy15.8%12.7%12.2%above
Kill/death ratio1.260.950.98above
Match win rate24.3%42.6%43.3%19.0% short

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

Widest gap: Match win rate. 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.GGdøcFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER18,038 · 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

Aim63
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWWLLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −42ms 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 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 539ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 560ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim6.3
Utility6.2
Positioning4.8
Opening Duels1.3
Clutch9.4

Reliable in 1v1s

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 79% 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 →

CSDB Rating breakdown

Aim6.3
Positioning4.8
Utility6.2
Mechanics4.7
Opening Duels2.1
Win Impact6.9

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time536ms+15ms
first ⅓ avg 521ms → last ⅓ avg 536ms
Headshot accuracy16.7%−0.6%
first ⅓ avg 17.3% → last ⅓ avg 16.7%

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

0.14Best match rating · 13–2 · train, 8 Oct →
53%Best headshot accuracy · 13–2 · train, 8 Oct →
359msFastest reaction time · 13–5 · dust2, 17 Sept →
13–1Biggest win · anubis, 10 Nov →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 12infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
anubisS2215–768%0.02
dust2B178–947%-0.00
nukeD144–1029%-0.00
mirageS129–375%0.03
ancientS96–367%0.04
infernoD92–722%-0.00
cacheC94–544%-0.01
train—41–325%0.01
office—21–150%-0.00
rush_001—11–0100%-0.08
overpass—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,911Lifetime kills
1.26K/D · Top 10% of Level 2 players
6,426Matches
24.3%Match win rate
46.1%Headshot % · Top 50% of Level 2 players
15.8%Shot accuracy · Top 50% of Level 2 players
5,762MVPs
1,741Hours (in match)
3,580Bombs planted
741Bombs defused

Most-used weapons

Glock-1851,558
AK-4727,779
AWP16,617
XM10144,265
MP93,042
Knife3,005
P902,666

Lifetime map wins

8,343dust2
2,029inferno
1,048nuke
593train
581vertigo
418office
221cbble
128italy

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

Faceit stats

Combat

26Matches
46%Win rate
0.91Avg K/D
71.4ADR
42%Headshot %

Clutches & streaks

67%1v1 clutch win
43%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.5815.5
Inferno1100%1.6423.0
Nuke10%0.509.0
Anubis1100%1.2515.0

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.

16.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.2%Spray accuracy
71.0%Counter-strafing
9.0°Preaim
535msReaction time
38.7%T opening success
37.7%CT opening success
0.54Enemies flashed / flash
4.9%Flash assists
9.73HE damage / grenade
10.89Flashes / 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 38.7402% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0123%15 Nov →
ancient13–10-0.019%14 Nov →
inferno11–13-0.0212%14 Nov →
nuke5–130.0111%13 Nov →
dust216–120.0517%13 Nov →
anubis13–5-0.0219%12 Nov →
ancient13–60.0719%12 Nov →
dust26–13-0.0330%12 Nov →
mirage13–40.0318%12 Nov →
inferno3–13-0.0516%12 Nov →
mirage11–130.0221%11 Nov →
dust211–13-0.0423%11 Nov →
anubis13–7-0.0114%11 Nov →
anubis13–10.0125%10 Nov →
anubis13–100.0422%10 Nov →
mirage16–140.0322%10 Nov →
nuke15–15-0.0213%9 Nov →
anubis13–60.1215%4 Nov →
anubis8–130.0113%4 Nov →
nuke5–130.016%2 Nov →
dust213–10.1012%2 Nov →
mirage13–100.0511%2 Nov →
office13–10-0.046%1 Nov →
dust29–13-0.0422%31 Oct →
anubis13–50.1020%31 Oct →
inferno15–150.0424%30 Oct →
mirage6–130.0120%29 Oct →
anubis4–13-0.1113%28 Oct →
anubis7–130.0112%28 Oct →
office12–120.048%28 Oct →
anubis13–60.0720%28 Oct →
anubis9–130.0320%27 Oct →
anubis13–20.0317%27 Oct →
inferno2–13-0.075%27 Oct →
ancient13–16-0.0118%27 Oct →
inferno13–10-0.0317%26 Oct →
dust213–30.0216%26 Oct →
nuke13–100.0412%26 Oct →
inferno11–130.0216%24 Oct →
anubis13–11-0.0219%24 Oct →
mirage13–11-0.0320%24 Oct →
cache5–13-0.0522%24 Oct →
anubis6–10.0433%24 Oct →
nuke7–13-0.0524%24 Oct →
ancient13–4-0.0213%23 Oct →
nuke7–13-0.0213%22 Oct →
dust27–13-0.0413%21 Oct →
ancient5–130.0623%21 Oct →
anubis13–70.0921%21 Oct →
nuke10–13-0.0416%21 Oct →
mirage13–30.0718%21 Oct →
anubis9–130.0310%20 Oct →
dust211–13-0.0315%20 Oct →
nuke15–15-0.0221%20 Oct →
mirage13–90.0221%19 Oct →
rush_0018–5-0.0829%18 Oct →
anubis10–130.0533%17 Oct →
train4–130.0021%13 Oct →
ancient13–80.1220%12 Oct →
nuke4–130.0424%12 Oct →
train13–20.1453%8 Oct →
train9–13-0.017%8 Oct →
train1–8-0.084%8 Oct →
cache13–80.0213%6 Oct →
dust28–130.0111%6 Oct →
overpass12–12-0.0113%3 Oct →
cache13–50.0422%3 Oct →
cache7–13-0.0415%2 Oct →
mirage11–13-0.0218%30 Sept →
mirage13–30.0718%27 Sept →
mirage13–90.0411%26 Sept →
anubis13–5-0.0320%25 Sept →
dust211–13-0.0220%25 Sept →
dust210–130.0514%23 Sept →
nuke13–6-0.0125%22 Sept →
cache9–130.0528%21 Sept →
nuke9–130.066%21 Sept →
dust213–8-0.0114%19 Sept →
inferno10–13-0.0416%19 Sept →
inferno10–130.0721%18 Sept →
anubis13–10-0.0015%18 Sept →
inferno13–110.0620%17 Sept →
nuke1–13-0.0521%17 Sept →
dust213–5-0.0124%17 Sept →
cache8–130.0229%15 Sept →
anubis0–2-0.070%15 Sept →
ancient13–100.0912%15 Sept →
ancient13–30.0730%14 Sept →
anubis13–60.0222%14 Sept →
cache13–6-0.1112%28 Aug →
nuke13–7-0.0019%27 Aug →
cache13–80.0416%27 Aug →
mirage13–80.0213%25 Aug →
nuke13–90.039%24 Aug →
dust213–50.0119%22 Aug →
dust213–9-0.0215%22 Aug →
cache12–16-0.0522%21 Aug →
ancient10–13-0.0018%19 Aug →
dust28–13-0.0517%19 Aug →
anubis13–60.0213%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.