QNo

QNo — CS2 Stats

DE76561198010932833[U:1:50667105]Steam profile ↗✓ No bans

1,340Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating13,951Blue band · top ~34% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 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: 13,951 -2,255 21 May – 29 Sept · 22 days played
12,70518,446peak 18,44621 May29 Sept
18,446Peak Premier in tracked matches
36Days played since 2026-05-21

Premier CS Rating

  • 4,495 below peak (18,446)
  • +1,003 over 30 days · improving
  • -3,741 over 90 days
  • Next: Purple band at 15,000 — 1,049 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.

Share this profile

CSDB.GGQNoFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER13,951 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLLLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.6pp headshot accuracy · +26ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 625ms

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 (+3.1 against its own average).

Aim5.9
Utility6.5
Positioning4.5
Opening Duels2.6
Clutch0.0

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

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

Reaction time. 645ms 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

Aim5.9
Positioning4.5
Utility6.5
Mechanics6.9
Opening Duels3.6
Win Impact5.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time648ms−57ms
first ⅓ avg 705ms → last ⅓ avg 648ms
Headshot accuracy16.0%−0.8%
first ⅓ avg 16.8% → last ⅓ avg 16.0%

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

0.14Best match rating · 13–10 · ancient, 20 Sept →
33%Best headshot accuracy · 11–13 · cache, 16 Jul →
453msFastest reaction time · 5–9 · inferno, 5 Jun →
13–1Biggest win · cache, 16 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 52% over 21infernoWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
nukeC2712–1544%0.01
infernoC2410–1442%-0.01
cacheB2110–1148%-0.01
ancientB2111–1052%-0.01
dust2—40–40%-0.01
overpass—22–0100%0.03
mirage—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches
44%Win rate
0.99Avg K/D
56.8ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1457%1.1316.2
Ancient1225%0.8114.3
Nuke1070%1.2516.9
Mirage520%0.7010.2
Overpass425%1.1312.3
Vertigo333%0.599.0
Anubis367%0.9114.0

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
37.5%Accuracy (enemy spotted)
38.0%Spray accuracy
81.1%Counter-strafing
12.8°Preaim
645msReaction time
38.2%T opening success
50.3%CT opening success
0.61Enemies flashed / flash
7.7%Flash assists
8.04HE damage / grenade
16.25Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7584° — above the 12° mark we flag

    Aim Training →
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.

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0723%29 Sept →
nuke8–130.018%29 Sept →
inferno4–13-0.017%27 Sept →
dust211–13-0.0724%27 Sept →
nuke13–7-0.0518%27 Sept →
nuke13–2-0.016%22 Sept →
cache9–13-0.0621%22 Sept →
ancient13–100.1413%20 Sept →
nuke13–70.0915%20 Sept →
ancient13–90.0215%17 Sept →
ancient6–13-0.0517%17 Sept →
nuke11–130.0312%15 Sept →
inferno14–160.0514%15 Sept →
ancient7–13-0.0614%15 Sept →
cache13–4-0.048%13 Sept →
inferno16–130.0027%13 Sept →
nuke13–50.0916%13 Sept →
nuke7–13-0.0421%10 Sept →
ancient13–60.0226%10 Sept →
inferno7–13-0.0422%6 Sept →
ancient13–3-0.0219%6 Sept →
nuke3–13-0.0521%6 Sept →
cache13–11-0.0423%3 Sept →
nuke4–13-0.0812%3 Sept →
cache13–4-0.099%18 Aug →
ancient13–3-0.0110%18 Aug →
cache13–160.0020%13 Aug →
inferno13–8-0.0014%13 Aug →
cache6–13-0.0211%11 Aug →
ancient6–13-0.0517%11 Aug →
ancient10–13-0.0214%11 Aug →
ancient5–13-0.0515%9 Aug →
inferno13–8-0.0117%9 Aug →
cache13–7-0.0011%6 Aug →
nuke11–13-0.0118%6 Aug →
inferno4–130.0421%4 Aug →
cache3–13-0.0511%4 Aug →
inferno3–13-0.0613%4 Aug →
nuke15–15-0.0427%2 Aug →
ancient13–110.0313%2 Aug →
cache13–110.0017%2 Aug →
cache13–40.0316%30 Jul →
inferno7–13-0.0711%30 Jul →
nuke13–110.0216%16 Jul →
cache11–130.0333%16 Jul →
nuke10–130.0225%12 Jul →
ancient16–120.0011%12 Jul →
ancient9–13-0.0224%9 Jul →
nuke13–160.058%9 Jul →
inferno6–13-0.019%9 Jul →
nuke7–130.0216%7 Jul →
ancient9–00.0411%7 Jul →
cache13–110.0316%7 Jul →
ancient6–13-0.047%2 Jul →
mirage6–13-0.0212%2 Jul →
ancient4–13-0.0521%2 Jul →
cache7–130.0327%2 Jul →
nuke13–70.0310%30 Jun →
inferno9–13-0.0714%30 Jun →
nuke13–60.0719%28 Jun →
cache5–130.0314%28 Jun →
cache13–80.0218%28 Jun →
inferno7–13-0.0010%28 Jun →
inferno13–60.0615%21 Jun →
ancient13–50.0419%21 Jun →
inferno13–110.069%21 Jun →
inferno13–60.0220%18 Jun →
cache10–13-0.019%18 Jun →
dust24–130.0221%18 Jun →
ancient10–30.0123%16 Jun →
inferno7–130.0118%16 Jun →
cache13–10.0221%16 Jun →
cache9–20.029%16 Jun →
inferno11–13-0.0213%14 Jun →
inferno2–13-0.0710%14 Jun →
nuke6–130.0531%14 Jun →
nuke12–12-0.0211%14 Jun →
dust210–130.0423%11 Jun →
nuke12–10.0921%11 Jun →
inferno6–13-0.0910%9 Jun →
dust25–13-0.0313%9 Jun →
nuke4–13-0.0024%9 Jun →
overpass13–6-0.0116%7 Jun →
nuke10–13-0.0321%7 Jun →
nuke13–40.1223%5 Jun →
cache11–130.0018%5 Jun →
nuke13–70.0113%5 Jun →
inferno16–12-0.0416%5 Jun →
inferno13–110.029%5 Jun →
inferno5–9-0.1321%5 Jun →
overpass13–30.0810%4 Jun →
ancient13–5-0.0120%4 Jun →
ancient0–13-0.0624%4 Jun →
nuke2–13-0.0213%4 Jun →
cache7–13-0.0915%4 Jun →
inferno13–50.018%31 May →
nuke13–90.0120%31 May →
cache3–13-0.0820%31 May →
ancient7–13-0.057%31 May →
nuke13–80.0523%21 May →

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 →

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