sleQuu

sleQuu — CS2 Stats

FI76561198012321509[U:1:52055781]Steam profile ↗✓ No bans

975Tracked matches52%Win rate2020Tracked since
4,479Hours in CS12Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating24,598Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#27140 of 260013 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 24,598 +5,580 25 May – 4 Nov · 16 days played
18,55527,206peak 27,20625 May4 Nov
27,319Peak Premier in tracked matches
31Days played since 2026-04-30

Premier CS Rating

  • 2,608 below peak (27,206)
  • -401 over 90 days
  • Next: Red band at 25,000 — 402 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-04
  • Pink band first seen 2026-09-04

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate47.0%45.7%46.8%meets
Shot accuracy18.6%12.7%13.0%above
Kill/death ratio1.281.051.06above
Match win rate47.5%45.7%46.3%above

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGsleQuuFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER24,598 · 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

Aim88
Positioning71
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLWLWLLLWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −8.0pp headshot accuracy · −17ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 463ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 465ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 474ms

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 (+1.6 against its own average).

Aim8.8
Utility6.3
Positioning7.1
Opening Duels5.0
Clutch3.6

Sharp aimerStrong 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

jL

Plays most like jL 95% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning7.1
Utility6.3
Mechanics7.0
Opening Duels5.6
Win Impact5.6

Composite 7.3/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time493ms−97ms
first ⅓ avg 590ms → last ⅓ avg 493ms
Headshot accuracy17.7%−3.1%
first ⅓ avg 20.8% → last ⅓ avg 17.7%

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 · 13–11 · dust2, 21 Aug →
34%Best headshot accuracy · 13–6 · inferno, 12 Sept →
328msFastest reaction time · 11–13 · anubis, 11 Aug →
13–0Biggest win · inferno, 19 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 71% over 17mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA2715–1256%0.01
infernoA2515–1060%0.01
ancientS1712–571%0.04
nukeA106–460%-0.00
anubisC52–340%0.03
mirageD50–50%0.01
dust2—42–250%0.05
train—43–175%0.01
overpass—31–233%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,196Lifetime kills
1.28K/D · Top 25% of Level 7 players
5,212Matches
47.5%Match win rate · Top 50% of Level 7 players
47.0%Headshot % · Top 50% of Level 7 players
18.6%Shot accuracy · Top 10% of Level 7 players
15,663MVPs
2,490Hours (in match)
4,761Bombs planted
2,137Bombs defused

Most-used weapons

AK-4743,409
AWP24,140
P2506,317
Tec-93,545
P902,445

Lifetime map wins

22,446dust2
6,909train
6,087inferno
3,566cbble
2,435nuke
242vertigo
231office
20dust

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

Faceit stats

Combat

1,123Matches
51%Win rate
1.17Avg K/D
84.5ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
31%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1942%1.0416.9
Ancient1947%1.0916.5
Anubis1429%1.0517.5
Nuke1233%1.0517.3
Dust21164%1.3617.4
Cache450%0.8616.3
Overpass333%0.9915.3
Mirage2100%1.3715.0

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.

18.2%Headshot accuracy
41.2%Accuracy (enemy spotted)
43.6%Spray accuracy
81.3%Counter-strafing
9.8°Preaim
492msReaction time
45.8%T opening success
59.0%CT opening success
0.63Enemies flashed / flash
13.2%Flash assists
10.35HE damage / grenade
5.51Flashes / match

Recommended for you

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0613%4 Nov →
cache11–130.0111%4 Nov →
dust213–60.0723%3 Nov →
inferno11–13-0.0511%2 Nov →
ancient13–110.0214%2 Nov →
inferno5–13-0.039%23 Sept →
inferno8–13-0.0423%15 Sept →
cache7–130.0819%15 Sept →
anubis13–90.0721%15 Sept →
ancient13–20.0418%15 Sept →
dust210–13-0.0114%13 Sept →
inferno10–13-0.0330%13 Sept →
cache13–100.0531%13 Sept →
inferno13–60.0834%12 Sept →
cache12–120.0126%12 Sept →
train13–60.0122%12 Sept →
inferno13–6-0.0519%12 Sept →
nuke13–7-0.0423%12 Sept →
ancient13–60.0925%12 Sept →
inferno13–80.0519%11 Sept →
cache6–13-0.035%9 Sept →
anubis19–170.0914%8 Sept →
train13–110.0931%2 Sept →
inferno13–9-0.0014%2 Sept →
ancient2–130.0124%2 Sept →
cache8–130.0321%2 Sept →
inferno8–13-0.0513%28 Aug →
nuke4–13-0.064%28 Aug →
ancient9–13-0.043%23 Aug →
inferno11–13-0.0314%23 Aug →
ancient6–13-0.027%21 Aug →
cache8–20.0514%21 Aug →
inferno13–70.0414%21 Aug →
ancient16–130.1015%21 Aug →
mirage3–130.0226%21 Aug →
cache2–13-0.0919%21 Aug →
dust213–110.1422%21 Aug →
nuke13–40.039%21 Aug →
inferno13–70.0020%21 Aug →
nuke13–7-0.0116%20 Aug →
cache13–10-0.0420%20 Aug →
anubis11–13-0.025%20 Aug →
cache13–50.0316%20 Aug →
nuke15–150.0514%20 Aug →
ancient10–130.1023%20 Aug →
cache15–150.028%20 Aug →
ancient13–100.0721%19 Aug →
inferno13–90.0620%19 Aug →
inferno13–40.0419%19 Aug →
ancient13–7-0.0116%19 Aug →
cache13–8-0.0119%19 Aug →
ancient13–6-0.0033%19 Aug →
ancient13–70.0512%19 Aug →
inferno13–00.0724%19 Aug →
cache13–9-0.0117%19 Aug →
mirage4–130.0210%19 Aug →
inferno13–90.0217%11 Aug →
cache13–70.0710%11 Aug →
anubis11–130.0623%11 Aug →
inferno7–13-0.0021%11 Aug →
cache13–90.0417%11 Aug →
mirage7–130.0613%11 Aug →
inferno13–3-0.0414%11 Aug →
inferno16–140.0431%4 Aug →
ancient13–80.0432%4 Aug →
nuke13–70.0123%4 Aug →
cache13–50.0023%4 Aug →
nuke13–90.0215%3 Aug →
inferno11–13-0.0512%3 Aug →
mirage8–13-0.0329%26 Jul →
inferno13–60.0324%21 Jul →
cache13–6-0.0126%21 Jul →
anubis4–13-0.0530%29 Jun →
train6–13-0.0621%29 Jun →
nuke6–13-0.0429%15 Jun →
train13–70.0230%15 Jun →
inferno5–13-0.0419%29 May →
ancient13–90.1023%28 May →
overpass13–11-0.0212%28 May →
ancient13–60.0527%28 May →
dust28–130.0014%26 May →
overpass11–130.0112%25 May →
mirage9–13-0.029%25 May →
ancient13–80.1215%25 May →
nuke11–130.0015%25 May →
overpass8–130.0519%25 May →
ancient7–130.0132%25 May →
inferno13–40.0317%25 May →
cache10–13-0.0615%21 May →
nuke13–60.0119%10 May →
cache7–130.0525%10 May →
cache10–130.0317%4 May →
cache9–13-0.0228%4 May →
cache13–30.0314%30 Apr →
cache13–70.0433%30 Apr →
inferno11–130.0426%30 Apr →
cache13–40.1022%30 Apr →
cache13–6-0.0026%30 Apr →
cache13–7-0.0517%30 Apr →
cache3–13-0.0214%30 Apr →

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 →

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