-Qace

-Qace — CS2 Stats

DK76561198062658069[U:1:102392341]Steam profile ↗✓ No bans

3,176Tracked matches53%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating22,077Top 50% of 201,122 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#52479 of 247969 tracked
FaceitLevel 10 · 2,093 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (7 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: 22,077 +2,532 12 Jan – 26 Sept · 5 days played
19,54522,077peak 22,07712 Jan26 Sept
22,077Peak Premier in tracked matches
2,093Highest Faceit ELO seen on CSDB
64Days played since 2025-12-29

Faceit ELO

  • At peak — 2,093
  • Next: 2,500 ELO at 2,500 — 407 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier CS Rating

  • At peak — 22,077
  • +366 over 30 days · steady
  • Next: Red band at 25,000 — 2,923 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG-QaceFACEITLevel 10 · 2,093 ELOSTANDINGTop 12.4% of rankedPREMIER22,077 · Pink bandPEAK ELO2,093csdb.gg/stats

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Performance scores

Aim77
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.6pp headshot accuracy · +29ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 630ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

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).

Aim7.7
Utility5.9
Positioning5.7
Opening Duels2.9
Clutch3.2

Strong CT-side opener

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 56% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.7
Positioning5.7
Utility5.9
Mechanics6.9
Opening Duels3.3
Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time583ms−26ms
first ⅓ avg 609ms → last ⅓ avg 583ms
Headshot accuracy21.0%+3.2%
first ⅓ avg 17.8% → last ⅓ avg 21.0%

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 · 10–4 · inferno, 31 May →
36%Best headshot accuracy · 13–8 · inferno, 12 Aug →
406msFastest reaction time · 13–11 · anubis, 23 Aug →
13–2Biggest win · anubis, 31 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
12–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 62% over 13mirageWeakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.00
infernoA1911–858%0.03
anubisB189–950%0.01
nukeB147–750%0.00
ancientA138–562%0.00
cacheA53–260%0.04
dust2—41–325%-0.00
stronghold—31–233%0.05
warden—21–150%0.01
fachwerk—10–10%-0.02
train—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,434Matches
50%Win rate
0.98Avg K/D
75.3ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage82450%0.9414.1
Inferno46954%1.0115.4
Anubis44949%0.9714.8
Ancient28547%0.9414.7
Nuke26850%0.9814.9
Overpass6751%0.9515.4
Vertigo6644%0.9414.9
Dust23938%0.9214.6

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.

21.4%Headshot accuracy
37.4%Accuracy (enemy spotted)
36.8%Spray accuracy
80.9%Counter-strafing
10.0°Preaim
585msReaction time
27.9%T opening success
56.1%CT opening success
0.61Enemies flashed / flash
3.3%Flash assists
10.68HE damage / grenade
10.85Flashes / 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 27.9446% — below the 40% mark we flag

Spend your practice time on Mirage

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

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0016%26 Sept →
cache13–100.0117%12 Sept →
inferno13–100.0221%12 Sept →
nuke4–13-0.0426%12 Sept →
inferno11–130.1221%12 Sept →
inferno10–13-0.0431%12 Sept →
anubis13–70.0219%11 Sept →
ancient3–130.0217%10 Sept →
nuke10–13-0.076%4 Sept →
anubis13–20.0124%31 Aug →
nuke11–130.0122%31 Aug →
dust216–120.0618%30 Aug →
mirage13–110.0219%26 Aug →
nuke8–13-0.0418%23 Aug →
anubis13–110.0126%23 Aug →
anubis13–90.0228%12 Aug →
cache13–60.1429%12 Aug →
inferno13–80.0636%12 Aug →
mirage13–11-0.0119%11 Aug →
ancient9–13-0.0128%11 Aug →
dust22–13-0.0614%10 Aug →
fachwerk4–13-0.0222%7 Aug →
dust212–160.0124%7 Aug →
nuke13–100.0524%7 Aug →
ancient8–130.0515%7 Aug →
inferno13–20.0913%7 Aug →
inferno13–8-0.0019%7 Aug →
anubis13–30.0916%4 Aug →
cache4–13-0.0935%4 Aug →
anubis4–13-0.0115%28 Jul →
anubis13–110.0921%27 Jul →
mirage13–100.0816%17 Jul →
ancient13–7-0.0318%15 Jul →
anubis13–7-0.0124%15 Jul →
anubis13–60.0116%15 Jul →
ancient13–70.0110%13 Jul →
cache13–40.1029%12 Jul →
nuke9–130.0023%29 Jun →
mirage7–13-0.056%28 Jun →
mirage9–13-0.0024%28 Jun →
ancient13–50.0513%28 Jun →
inferno13–60.0119%28 Jun →
ancient10–13-0.0420%27 Jun →
ancient13–11-0.0617%27 Jun →
mirage10–13-0.0423%25 Jun →
mirage13–70.0326%24 Jun →
train13–80.0018%19 Jun →
inferno10–40.1516%31 May →
anubis7–20.0429%30 May →
mirage13–60.0520%30 May →
nuke13–50.0616%30 May →
cache6–130.029%30 May →
inferno10–130.0519%30 May →
ancient8–130.0220%30 May →
mirage4–130.0134%20 May →
dust24–13-0.0425%18 May →
mirage13–80.0819%17 May →
inferno4–13-0.0635%13 May →
mirage1–13-0.0911%12 May →
inferno13–110.1128%7 May →
mirage9–13-0.0624%7 May →
mirage9–13-0.0920%7 May →
nuke8–13-0.0425%29 Apr →
mirage11–13-0.0320%24 Apr →
inferno13–110.0112%22 Apr →
anubis11–13-0.0318%18 Apr →
mirage16–13-0.0312%17 Apr →
nuke9–130.0715%17 Apr →
anubis7–13-0.047%17 Apr →
mirage13–100.0819%16 Apr →
nuke13–9-0.0426%14 Apr →
anubis10–13-0.0320%6 Apr →
anubis11–13-0.0217%3 Apr →
anubis12–16-0.0120%30 Mar →
nuke13–70.0619%22 Mar →
nuke13–8-0.0122%16 Mar →
nuke13–110.0113%26 Feb →
mirage5–13-0.0615%24 Feb →
ancient13–5-0.0220%17 Feb →
ancient13–5-0.0427%15 Feb →
ancient16–120.0021%12 Feb →
inferno16–19-0.0019%11 Feb →
anubis9–130.0422%9 Feb →
inferno13–80.0319%5 Feb →
anubis6–13-0.0317%2 Feb →
anubis4–13-0.0618%31 Jan →
stronghold13–110.1223%31 Jan →
warden13–100.0317%31 Jan →
stronghold9–13-0.0117%31 Jan →
warden7–13-0.0215%22 Jan →
stronghold8–130.048%22 Jan →
inferno7–130.0418%22 Jan →
mirage9–130.0224%22 Jan →
mirage13–110.0117%21 Jan →
mirage11–130.0412%16 Jan →
inferno9–130.0423%15 Jan →
ancient13–110.068%12 Jan →
inferno13–11-0.0414%7 Jan →
inferno9–13-0.0122%30 Dec →
nuke13–10-0.0116%29 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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