DeeQQ

DeeQQ — CS2 Stats

76561198443716059[U:1:483450331]Steam profile ↗✓ No bans

2,691Tracked matches68%Win rate2020Tracked since
4,280Hours in CS5Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating18,052Purple band · top ~16.3% of ranked players (population est.)
FaceitLevel 8 · 1,477 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+479Premier CS Rating · 17,573 → 18,052

Rating over time

Premier CS Rating: 18,052 +2,334 28 Jun – 5 Nov · 23 days played
15,34318,052peak 18,05228 Jun5 Nov
18,255Peak Premier in tracked matches
1,477Highest Faceit ELO seen on CSDB
36Days played since 2026-06-23

Faceit ELO

  • At peak — 1,477
  • Next: Level 8 at 1,531 — 54 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 18,052
  • +1,192 over 30 days · improving
  • +485 over 90 days
  • Next: Pink band at 20,000 — 1,948 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 8 among CSDB-tracked players (n=15,525), 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 rate45.4%46.8%48.2%2.8% short
Shot accuracy16.9%13.0%13.2%above
Kill/death ratio0.921.061.070.15 short
Match win rate45.0%46.3%46.9%1.9% 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.GGDeeQQFACEITLevel 8 · 1,477 ELOSTANDINGTop 31.2% of rankedPREMIER18,052 · Purple bandPEAK ELO1,477csdb.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

Aim71
Positioning67
Utility31

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWWWWWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.5pp headshot accuracy · +43ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 632ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 610ms

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 (+2.1 against its own average).

Aim7.1
Utility3.1
Positioning6.7
Opening Duels4.9
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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

T openings. 70% T opening-duel success — entries that actually open the round.

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. 603ms 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

Aim7.1
Positioning6.7
Utility3.1
Mechanics5.6
Opening Duels8.0
Win Impact10.0

Composite 6.6/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time607ms−63ms
first ⅓ avg 670ms → last ⅓ avg 607ms
Headshot accuracy16.6%−0.9%
first ⅓ avg 17.5% → last ⅓ avg 16.6%

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

0.10Best match rating · 9–4 · overpass, 26 Jul →
40%Best headshot accuracy · 9–2 · poseidon, 26 Jul →
422msFastest reaction time · 13–7 · nuke, 26 Sept →
13–1Biggest win · nuke, 11 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
6–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 67% over 9ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%-0.01
nukeA2112–957%0.00
cacheA1710–759%-0.00
infernoD124–833%-0.04
ancientD113–827%-0.03
dust2S96–367%-0.01
anubis—42–250%-0.03
office—22–0100%-0.01
vertigo—10–10%0.01
poseidon—11–0100%0.07
overpass—11–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,039Lifetime kills
0.92K/D
5,865Matches
45.0%Match win rate
45.4%Headshot %
16.9%Shot accuracy · Top 25% of Level 8 players
14,645MVPs
2,536Hours (in match)
5,890Bombs planted
1,000Bombs defused

Most-used weapons

AK-4733,940
AWP8,509
MAC-105,923
MP94,066
FAMAS3,670

Lifetime map wins

10,655inferno
7,708nuke
5,377train
3,423dust2
2,481vertigo
568cbble
268office
50lake

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

Faceit stats

Combat

775Matches
51%Win rate
0.89Avg K/D
74.5ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8752%0.8913.6
Nuke4269%1.0516.5
Ancient3743%0.8814.8
Inferno3650%0.8615.4
Anubis2744%0.8815.4
Dust22143%0.8414.3
Vertigo1958%0.8615.0
Cache956%0.7211.7

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
39.5%Accuracy (enemy spotted)
43.2%Spray accuracy
75.1%Counter-strafing
11.1°Preaim
603msReaction time
69.6%T opening success
54.6%CT opening success
0.51Enemies flashed / flash
1.9%Flash assists
5.21HE damage / grenade
4.84Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0716%5 Nov →
inferno13–5-0.039%5 Nov →
nuke13–4-0.0012%5 Nov →
office13–9-0.0414%31 Oct →
office13–20.0122%31 Oct →
inferno13–60.0119%25 Oct →
inferno1–9-0.0714%25 Oct →
inferno8–13-0.0520%22 Oct →
ancient13–6-0.0211%22 Oct →
cache14–16-0.0111%21 Oct →
mirage16–14-0.0213%21 Oct →
mirage15–15-0.0318%21 Oct →
cache5–130.0012%21 Oct →
cache13–10-0.0518%21 Oct →
ancient9–13-0.0725%20 Oct →
ancient13–10-0.0316%20 Oct →
cache13–90.0219%15 Oct →
mirage6–13-0.0329%15 Oct →
nuke13–70.0418%15 Oct →
nuke13–50.0315%10 Oct →
nuke16–12-0.0314%10 Oct →
nuke14–160.0520%3 Oct →
nuke13–7-0.0121%3 Oct →
inferno6–130.0415%3 Oct →
vertigo10–130.0115%27 Sept →
dust215–15-0.0216%27 Sept →
cache13–7-0.046%26 Sept →
nuke13–7-0.0110%26 Sept →
anubis13–7-0.0123%26 Sept →
dust213–7-0.0221%26 Sept →
mirage7–130.0317%26 Sept →
ancient6–13-0.0411%19 Sept →
nuke13–90.0624%12 Sept →
cache14–16-0.0219%12 Sept →
ancient14–16-0.0014%12 Sept →
nuke15–150.0227%12 Sept →
dust213–8-0.0423%5 Sept →
mirage2–13-0.0621%5 Sept →
mirage3–13-0.0119%23 Aug →
mirage12–120.0524%23 Aug →
cache13–110.0425%22 Aug →
ancient13–8-0.095%22 Aug →
nuke8–80.0612%21 Aug →
inferno4–9-0.190%21 Aug →
mirage13–50.0523%20 Aug →
mirage9–13-0.0324%19 Aug →
mirage16–140.0317%19 Aug →
nuke6–13-0.0112%12 Aug →
mirage7–13-0.0814%12 Aug →
anubis4–13-0.0634%12 Aug →
ancient15–150.0316%8 Aug →
nuke9–13-0.0217%8 Aug →
cache13–50.0515%8 Aug →
nuke9–13-0.0917%8 Aug →
cache13–90.0417%8 Aug →
mirage2–13-0.0520%8 Aug →
cache13–9-0.0524%4 Aug →
nuke5–100.0423%4 Aug →
nuke13–80.0023%27 Jul →
mirage13–40.0124%27 Jul →
dust213–6-0.0215%27 Jul →
mirage6–130.0125%27 Jul →
ancient13–16-0.0517%27 Jul →
inferno13–70.0122%26 Jul →
nuke13–9-0.0624%26 Jul →
poseidon9–20.0740%26 Jul →
overpass9–40.107%26 Jul →
anubis0–13-0.080%26 Jul →
cache12–16-0.0314%26 Jul →
dust216–14-0.0021%23 Jul →
nuke13–7-0.0113%23 Jul →
cache13–90.0413%23 Jul →
ancient7–13-0.0318%16 Jul →
dust24–130.0415%16 Jul →
dust23–13-0.057%16 Jul →
mirage13–100.0516%14 Jul →
dust213–11-0.0415%14 Jul →
cache4–13-0.0217%14 Jul →
mirage13–6-0.0321%13 Jul →
inferno10–13-0.085%13 Jul →
cache7–13-0.0314%13 Jul →
mirage9–13-0.0325%13 Jul →
mirage13–10-0.0720%12 Jul →
anubis13–30.0117%12 Jul →
ancient15–15-0.0328%11 Jul →
mirage7–13-0.0414%11 Jul →
dust213–110.0719%11 Jul →
nuke5–13-0.049%11 Jul →
nuke13–10.0517%11 Jul →
ancient0–7-0.0322%11 Jul →
cache13–50.0413%11 Jul →
inferno13–30.0621%11 Jul →
cache13–100.0528%7 Jul →
inferno10–13-0.0321%5 Jul →
nuke10–13-0.0416%4 Jul →
cache2–13-0.0633%4 Jul →
mirage13–9-0.0416%29 Jun →
nuke13–40.0233%29 Jun →
inferno8–13-0.0320%28 Jun →
inferno1–9-0.1314%23 Jun →

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.