[LV]quixotic

[LV]quixotic — CS2 Stats

LV76561199174424012[U:1:1214158284]Steam profile ↗✓ No bans

693Tracked matches50%Win rate2021Tracked since
2,022Hours in CS24Hrs last 2 wks
CSDB Rating7.3 StrongClutch Specialist
Premier CS Rating25,707Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#16019 of 261572 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−343Premier CS Rating · 26,050 → 25,707

Rating over time

Premier CS Rating: 25,707 +5,823 29 Mar – 14 Nov · 35 days played
19,88426,050peak 26,05029 Mar14 Nov
26,050Peak Premier in tracked matches
60Days played since 2026-03-29

Premier CS Rating

  • 343 below peak (26,050)
  • +1,155 over 30 days · improving
  • Next: Gold band at 30,000 — 4,293 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-11-02
  • Purple band first seen 2026-11-02

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.2%48.2%50.9%3.7% short
Shot accuracy8.7%13.2%13.7%5.0% short
Kill/death ratio1.111.071.09above
Match win rate46.9%46.9%48.4%1.5% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[LV]quixoticFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,707 · Red 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

Aim84
Positioning56
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWWLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.9pp headshot accuracy · +56ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 667ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 629ms

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 (+2.5 against its own average).

Aim8.4
Utility4.9
Positioning5.6
Opening Duels2.9
Clutch7.8

Excellent counter-strafingReliable 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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

T openings. 64% 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.

CT openings. Opening success drops from 64% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 604ms 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

Aim8.4
Positioning5.6
Utility4.9
Mechanics9.2
Opening Duels6.5
Win Impact5.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time608ms−57ms
first ⅓ avg 665ms → last ⅓ avg 608ms
Headshot accuracy19.2%−0.3%
first ⅓ avg 19.5% → last ⅓ avg 19.2%

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

0.31Best match rating · 13–6 · anubis, 4 Oct →
57%Best headshot accuracy · 13–8 · mirage, 11 Jul →
328msFastest reaction time · 13–6 · anubis, 4 Oct →
13–0Biggest win · mirage, 19 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.01
dust2A2011–955%0.03
nukeC198–1142%0.02
infernoA1810–856%0.05
ancientD71–614%-0.01
anubisS75–271%0.10
cache—33–0100%0.01
vertigo—21–150%0.04
train—11–0100%0.06
overpass—11–0100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,040Lifetime kills
1.11K/D · Top 50% of Level 9 players
3,340Matches
46.9%Match win rate
47.2%Headshot %
8.7%Shot accuracy
10,752MVPs
964Hours (in match)
2,135Bombs planted
586Bombs defused

Most-used weapons

AK-4714,820
AWP6,142
SSG 082,477
MP91,602
FAMAS1,214

Lifetime map wins

4,768dust2
4,330inferno
2,962nuke
2,695vertigo
1,475office
902train
757lake
719cbble

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

Faceit stats

Combat

156Matches
58%Win rate
1.21Avg K/D
90.0ADR
46%Headshot %

Clutches & streaks

59%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25163%1.3619.2
Mirage3165%1.1517.7
Inferno2744%1.0818.0
Ancient2060%1.1416.4
Nuke1650%1.2417.6
Cache650%1.1017.3
Anubis367%1.1416.3
Vertigo1100%0.8016.0

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.

20.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.9%Spray accuracy
91.3%Counter-strafing
7.2°Preaim
604msReaction time
64.2%T opening success
48.1%CT opening success
0.61Enemies flashed / flash
6.0%Flash assists
7.69HE damage / grenade
11.74Flashes / 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0519%14 Nov →
ancient8–13-0.0425%13 Nov →
mirage13–10-0.0111%13 Nov →
anubis13–50.0123%12 Nov →
mirage7–13-0.0115%12 Nov →
dust210–13-0.0324%9 Nov →
inferno13–60.0117%9 Nov →
mirage13–6-0.006%9 Nov →
cache13–10-0.088%9 Nov →
nuke13–5-0.0719%9 Nov →
mirage14–16-0.0119%29 Oct →
nuke9–7-0.0111%28 Oct →
mirage6–90.0325%28 Oct →
dust213–8-0.0425%22 Oct →
dust212–160.0224%19 Oct →
mirage13–10-0.0415%17 Oct →
dust216–13-0.0124%17 Oct →
dust213–50.0222%15 Oct →
dust213–90.0331%15 Oct →
ancient15–19-0.0221%15 Oct →
mirage6–130.0121%15 Oct →
anubis11–130.0220%14 Oct →
ancient5–130.0318%13 Oct →
ancient6–13-0.0436%13 Oct →
vertigo6–90.0313%10 Oct →
inferno0–6-0.080%8 Oct →
train13–20.0612%8 Oct →
mirage6–13-0.0915%8 Oct →
inferno13–60.0924%6 Oct →
mirage13–11-0.0526%5 Oct →
dust213–90.0715%5 Oct →
nuke9–130.0336%5 Oct →
inferno8–130.0517%5 Oct →
anubis13–60.3138%4 Oct →
inferno13–110.0213%3 Oct →
cache13–40.0013%2 Oct →
mirage13–50.0624%2 Oct →
inferno9–70.0522%1 Oct →
inferno13–70.2029%27 Sept →
mirage13–60.0920%24 Sept →
inferno9–130.0541%19 Sept →
mirage8–13-0.0221%11 Sept →
nuke0–13-0.0238%11 Sept →
dust25–130.1321%10 Sept →
mirage13–60.0116%10 Sept →
mirage13–3-0.007%5 Sept →
nuke4–13-0.0235%3 Sept →
ancient3–130.0332%2 Sept →
ancient5–130.0117%31 Aug →
nuke13–7-0.0224%31 Aug →
nuke4–9-0.0532%31 Aug →
cache13–40.1134%30 Jul →
dust213–50.0843%30 Jul →
nuke5–50.1157%30 Jul →
dust213–70.0524%30 Jul →
anubis13–70.0921%27 Jul →
nuke5–130.1624%20 Jul →
mirage13–00.0338%19 Jul →
mirage13–90.0830%19 Jul →
dust211–130.0738%16 Jul →
nuke13–70.2340%15 Jul →
mirage13–90.1920%14 Jul →
mirage13–80.0557%11 Jul →
mirage6–13-0.0633%9 Jul →
nuke13–100.2017%4 Jul →
anubis13–50.1815%4 Jul →
nuke1–6-0.108%1 Jul →
mirage9–13-0.0321%28 Jun →
nuke2–13-0.0625%28 Jun →
anubis11–130.0314%24 Jun →
dust213–10.1330%18 Jun →
inferno7–9-0.0420%18 Jun →
dust213–4-0.0113%13 Jun →
nuke9–50.1220%10 Jun →
overpass13–8-0.0814%10 Jun →
nuke16–14-0.0216%10 Jun →
nuke8–80.018%6 Jun →
dust212–120.1037%5 Jun →
vertigo13–60.0422%5 Jun →
dust211–13-0.0618%28 May →
inferno9–130.0721%18 May →
anubis13–60.0523%17 May →
inferno11–130.037%16 May →
dust215–15-0.0612%10 May →
inferno13–50.0523%10 May →
inferno13–4-0.044%10 May →
dust213–4-0.0411%3 May →
dust211–130.0015%29 Apr →
nuke6–9-0.0343%28 Apr →
inferno13–3-0.0215%28 Apr →
inferno4–9-0.0220%15 Apr →
dust27–130.0319%15 Apr →
mirage13–30.0114%15 Apr →
inferno13–50.1519%15 Apr →
ancient13–10-0.0311%8 Apr →
inferno13–40.1624%6 Apr →
dust213–10.0938%6 Apr →
inferno9–130.0818%4 Apr →
mirage9–130.0318%29 Mar →
nuke13–60.0229%29 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 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.