quesso

quesso — CS2 Stats

76561198333672897[U:1:373407169]Steam profile ↗✓ No bans

1,609Tracked matches45%Win rate2020Tracked since
3,233Hours in CS14Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating23,294Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#40964 of 261515 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 23,294 -2,136 7 Sept – 13 Nov · 46 days played
22,49226,145peak 26,1457 Sept13 Nov
26,145Peak Premier in tracked matches
46Days played since 2026-09-07

Premier CS Rating

  • 2,851 below peak (26,145)
  • -174 over 30 days · steady
  • Next: Red band at 25,000 — 1,706 to go
  • Reached: Red band · Pink band · Purple band · 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 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 rate39.2%48.2%50.9%11.7% short
Shot accuracy10.6%13.2%13.7%3.1% short
Kill/death ratio0.991.071.090.10 short
Match win rate53.8%46.9%48.4%above

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

Widest gap: Headshot rate. 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.GGquessoFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,294 · Pink 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

Aim75
Positioning81
Utility57

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLLLWTLLWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −0.1pp headshot accuracy · −36ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 551ms

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 (+2.3 against its own average).

Aim7.5
Utility5.7
Positioning8.1
Opening Duels6.4
Clutch3.0

Strong positioning

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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

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

Aim7.5
Positioning8.1
Utility5.7
Mechanics7.5
Opening Duels8.6
Win Impact3.3

Composite 7.2/10 (Strong), 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 time534ms+32ms
first ⅓ avg 502ms → last ⅓ avg 534ms
Headshot accuracy11.4%+0.2%
first ⅓ avg 11.2% → last ⅓ avg 11.4%

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

0.16Best match rating · 13–1 · ancient, 13 Oct →
27%Best headshot accuracy · 13–1 · ancient, 13 Oct →
391msFastest reaction time · 13–6 · anubis, 28 Oct →
13–1Biggest win · ancient, 13 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
13–10In matches decided by ≤2 rounds
20Overtime games

Map breakdown

anubisBest map · 63% over 16ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA2716–1159%0.02
dust2B2311–1248%0.01
anubisA1610–663%0.03
mirageD112–918%-0.02
infernoD113–827%0.02
nukeD62–433%0.00
ancientD61–517%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,693Lifetime kills
0.99K/D
3,843Matches
53.8%Match win rate · Top 10% of Level 9 players
39.2%Headshot %
10.6%Shot accuracy
10,911MVPs
2,078Hours (in match)
3,425Bombs planted
993Bombs defused

Most-used weapons

AK-4729,524
MAC-107,618
MP97,352
AWP5,147
UMP-452,653
P2501,184

Lifetime map wins

23,225dust2
3,227inferno
2,399vertigo
1,222nuke
257cbble
254train
108office
101italy

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

Faceit stats

Combat

295Matches
53%Win rate
1.09Avg K/D
85.3ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
30%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust212856%1.1016.2
Inferno4643%0.9315.8
Ancient4070%1.3718.0
Mirage2741%0.9914.0
Vertigo1867%1.2118.1
Anubis1631%0.9514.8
Nuke1020%0.7113.2
Overpass967%1.1618.0

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.

11.5%Headshot accuracy
39.8%Accuracy (enemy spotted)
40.4%Spray accuracy
83.7%Counter-strafing
10.8°Preaim
541msReaction time
72.6%T opening success
58.7%CT opening success
0.63Enemies flashed / flash
7.5%Flash assists
10.93HE damage / grenade
7.88Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.4917% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0410%13 Nov →
anubis5–13-0.018%13 Nov →
inferno7–130.0515%11 Nov →
cache13–20.0710%11 Nov →
cache15–150.0111%10 Nov →
mirage2–13-0.049%9 Nov →
dust213–160.029%7 Nov →
dust213–60.0714%6 Nov →
inferno13–60.1015%6 Nov →
dust211–130.0214%5 Nov →
inferno12–160.0511%4 Nov →
dust213–70.0511%4 Nov →
cache13–60.0714%3 Nov →
cache13–110.079%3 Nov →
mirage13–30.0815%3 Nov →
mirage11–130.0211%3 Nov →
nuke4–13-0.0311%3 Nov →
anubis13–30.1413%2 Nov →
cache10–13-0.036%2 Nov →
inferno5–13-0.0416%1 Nov →
cache16–140.0613%30 Oct →
dust213–60.0810%30 Oct →
anubis9–130.0212%29 Oct →
cache13–80.0118%29 Oct →
mirage1–13-0.107%29 Oct →
cache13–110.0514%28 Oct →
anubis13–60.019%28 Oct →
ancient5–13-0.037%28 Oct →
mirage9–13-0.0213%27 Oct →
anubis5–13-0.057%26 Oct →
inferno13–80.0311%25 Oct →
dust213–11-0.0212%22 Oct →
dust213–70.009%22 Oct →
cache6–130.0011%22 Oct →
anubis13–110.038%22 Oct →
anubis14–160.0111%21 Oct →
nuke9–13-0.065%21 Oct →
cache13–11-0.026%20 Oct →
cache13–6-0.0113%20 Oct →
dust29–130.0311%20 Oct →
inferno15–150.0416%19 Oct →
inferno7–130.0211%17 Oct →
cache14–16-0.0014%16 Oct →
nuke16–12-0.0013%16 Oct →
nuke13–40.0012%16 Oct →
anubis5–13-0.049%14 Oct →
cache13–110.0314%14 Oct →
anubis13–110.0418%14 Oct →
inferno13–110.0211%14 Oct →
anubis10–13-0.034%13 Oct →
cache3–13-0.0310%13 Oct →
ancient13–10.1627%13 Oct →
anubis13–10.1512%13 Oct →
ancient11–130.0515%12 Oct →
nuke5–130.0711%12 Oct →
mirage2–13-0.0711%12 Oct →
dust25–13-0.0610%12 Oct →
cache13–10.0510%11 Oct →
mirage10–13-0.0517%11 Oct →
inferno10–13-0.026%11 Oct →
dust213–1-0.0516%11 Oct →
dust214–16-0.0416%11 Oct →
anubis13–90.0715%9 Oct →
dust213–110.0814%9 Oct →
inferno5–13-0.0410%7 Oct →
dust211–130.0111%6 Oct →
cache15–150.0711%6 Oct →
cache2–13-0.0115%5 Oct →
mirage13–50.000%5 Oct →
mirage8–13-0.0713%4 Oct →
cache13–60.0110%4 Oct →
ancient8–130.017%30 Sept →
dust213–30.0211%30 Sept →
dust215–150.0918%29 Sept →
cache15–150.058%29 Sept →
dust216–140.0519%29 Sept →
cache7–13-0.072%27 Sept →
cache5–13-0.0312%26 Sept →
mirage5–130.016%26 Sept →
dust26–13-0.0314%26 Sept →
cache13–70.0717%26 Sept →
dust22–13-0.0010%26 Sept →
cache13–110.0212%24 Sept →
cache13–20.0214%24 Sept →
ancient13–160.0217%24 Sept →
cache16–13-0.0010%24 Sept →
dust216–120.0511%23 Sept →
cache6–13-0.0110%23 Sept →
anubis8–20.064%23 Sept →
anubis16–140.0316%21 Sept →
anubis13–100.0410%21 Sept →
dust29–13-0.025%21 Sept →
ancient14–160.0217%16 Sept →
inferno5–13-0.049%14 Sept →
nuke14–160.0413%12 Sept →
anubis13–60.0815%11 Sept →
dust213–10-0.0113%11 Sept →
dust23–13-0.0811%10 Sept →
dust214–160.0210%8 Sept →
cache13–30.069%7 Sept →

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.