cleticismo

cleticismo — CS2 Stats

PT76561198212959437[U:1:252693709]Steam profile ↗✓ No bans

1,940Tracked matches53%Win rate2021Tracked since
2,509Hours in CS
CSDB Rating5.3 DevelopingSupport
Premier CS Rating11,975Blue band · top ~44.4% of ranked players (population est.)
FaceitLevel 6 · 1,192 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Aug 2026 (34 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: 11,975 -170 26 Mar – 25 Aug · 16 days played
11,58014,353peak 14,35326 Mar25 Aug
14,353Peak Premier in tracked matches
1,192Highest Faceit ELO seen on CSDB
50Days played since 2026-03-26

Faceit ELO

  • At peak — 1,192
  • Next: Level 6 at 1,201 — 9 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,378 below peak (14,353)
  • -643 over 90 days
  • Next: Purple band at 15,000 — 3,025 to go
  • Reached: Blue band · Light 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 6 among CSDB-tracked players (n=12,854), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.0%44.8%45.7%5.8% short
Shot accuracy9.8%12.4%12.7%2.9% short
Kill/death ratio0.801.031.050.25 short
Match win rate35.0%45.2%45.7%10.7% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcleticismoFACEITLevel 6 · 1,192 ELOSTANDINGTop 54.0% of rankedPREMIER11,975 · Blue bandPEAK ELO1,192csdb.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

Aim54
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateWLWLLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −2.0pp headshot accuracy · +58ms reaction

Win rate +10pp 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 669ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 656ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 627ms

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 (+1.8 against its own average).

Aim5.4
Utility6.2
Positioning5.6
Opening Duels3.5
Clutch2.4

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 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 642ms 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

Aim5.4
Positioning5.6
Utility6.2
Mechanics6.6
Opening Duels2.8
Win Impact6.1

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 time639ms−34ms
first ⅓ avg 674ms → last ⅓ avg 639ms
Headshot accuracy18.0%−4.8%
first ⅓ avg 22.8% → last ⅓ avg 18.0%

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

0.10Best match rating · 13–11 · overpass, 17 Apr →
42%Best headshot accuracy · 13–10 · inferno, 14 Apr →
391msFastest reaction time · 4–13 · dust2, 26 Jul →
13–1Biggest win · anubis, 7 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 87% over 15anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%-0.01
ancientS1513–287%-0.01
infernoB136–746%-0.02
anubisC114–736%-0.02
mirageA106–460%-0.02
cacheB84–450%-0.01
nukeS65–183%-0.01
overpass—43–175%0.01
vertigo—11–0100%-0.03
office—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,806Lifetime kills
0.80K/D
5,702Matches
35.0%Match win rate
40.0%Headshot %
9.8%Shot accuracy
7,723MVPs
2,509Hours (in match)
3,780Bombs planted
1,039Bombs defused

Most-used weapons

AK-4734,389
AWP9,447
P2501,997
UMP-451,490
P901,473

Lifetime map wins

15,421dust2
4,786inferno
1,846vertigo
1,063nuke
465train
132safehouse
131cbble
42aztec

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

Faceit stats

Combat

826Matches
50%Win rate
0.93Avg K/D
75.7ADR
49%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust221851%0.9614.8
Mirage17149%0.8713.7
Ancient13453%0.9214.2
Inferno11042%0.9113.5
Anubis9252%0.9714.2
Overpass2767%1.0314.3
Nuke2326%0.8513.3
Cache1759%1.0614.5

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.

18.4%Headshot accuracy
31.7%Accuracy (enemy spotted)
36.1%Spray accuracy
79.6%Counter-strafing
11.7°Preaim
642msReaction time
40.5%T opening success
42.0%CT opening success
0.57Enemies flashed / flash
7.8%Flash assists
9.87HE damage / grenade
12.31Flashes / match

Recommended for you

Spend your practice time on Anubis

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0322%25 Aug →
ancient5–13-0.0515%24 Aug →
dust213–9-0.0124%20 Aug →
inferno12–160.0126%20 Aug →
dust211–130.0112%19 Aug →
cache13–40.0314%17 Aug →
dust24–13-0.0616%17 Aug →
dust23–13-0.0921%2 Aug →
anubis13–10-0.0524%30 Jul →
ancient13–11-0.0515%30 Jul →
inferno13–160.0024%30 Jul →
ancient16–140.0319%29 Jul →
dust213–30.0628%29 Jul →
dust213–7-0.0124%29 Jul →
mirage13–20.0228%28 Jul →
nuke6–13-0.0525%27 Jul →
dust24–130.0111%26 Jul →
ancient10–130.0516%23 Jul →
dust211–13-0.0218%21 Jul →
inferno10–13-0.0115%21 Jul →
dust213–9-0.0315%20 Jul →
cache13–3-0.038%20 Jul →
cache9–13-0.0615%15 Jul →
overpass13–7-0.0514%8 Jul →
mirage8–130.0112%8 Jul →
anubis5–13-0.0316%25 Jun →
nuke13–11-0.0224%14 Jun →
dust213–90.0019%5 Jun →
nuke13–11-0.0617%4 Jun →
dust213–40.0213%4 Jun →
dust213–100.0222%4 Jun →
inferno16–13-0.0415%3 Jun →
mirage13–10-0.039%28 May →
inferno13–100.0121%27 May →
anubis8–130.0016%20 May →
cache13–9-0.0317%20 May →
ancient13–4-0.0523%20 May →
inferno8–13-0.0611%19 May →
cache16–14-0.0227%19 May →
dust210–13-0.0124%19 May →
cache12–120.0341%11 May →
cache7–13-0.0325%7 May →
anubis13–3-0.0131%7 May →
nuke13–90.027%7 May →
anubis10–130.0124%6 May →
dust212–16-0.0314%5 May →
cache9–130.0015%4 May →
dust211–130.0122%29 Apr →
ancient13–20.0216%27 Apr →
ancient13–10-0.0621%27 Apr →
inferno11–13-0.0426%27 Apr →
dust213–10-0.0718%27 Apr →
ancient13–90.0123%27 Apr →
anubis16–120.0019%24 Apr →
inferno13–2-0.069%24 Apr →
ancient16–130.0130%24 Apr →
mirage13–90.0319%24 Apr →
dust211–13-0.0218%21 Apr →
anubis14–160.0118%21 Apr →
inferno13–9-0.0427%21 Apr →
mirage10–13-0.0115%21 Apr →
dust213–10-0.0319%20 Apr →
inferno16–14-0.0311%20 Apr →
nuke13–20.0524%20 Apr →
dust27–13-0.0616%20 Apr →
overpass11–13-0.0110%19 Apr →
inferno2–130.0121%18 Apr →
ancient13–30.0219%17 Apr →
overpass13–110.1016%17 Apr →
mirage13–7-0.0424%14 Apr →
inferno13–100.0242%14 Apr →
ancient13–4-0.0416%13 Apr →
mirage11–13-0.0122%12 Apr →
anubis4–13-0.1125%12 Apr →
vertigo13–7-0.038%12 Apr →
dust213–11-0.0233%8 Apr →
dust213–100.0126%8 Apr →
dust213–40.0733%8 Apr →
dust213–9-0.0120%7 Apr →
anubis13–10.0618%7 Apr →
ancient13–11-0.0516%2 Apr →
overpass13–8-0.0121%1 Apr →
dust28–130.0237%1 Apr →
dust212–16-0.0426%1 Apr →
anubis5–13-0.0226%31 Mar →
mirage10–13-0.0832%30 Mar →
ancient16–13-0.0010%30 Mar →
dust214–16-0.0413%30 Mar →
nuke13–5-0.0323%30 Mar →
mirage13–10-0.0218%30 Mar →
dust213–11-0.0324%30 Mar →
ancient13–80.0234%29 Mar →
anubis10–13-0.0736%29 Mar →
ancient13–70.0417%27 Mar →
inferno6–13-0.0812%27 Mar →
dust21–13-0.0116%27 Mar →
office8–13-0.0523%26 Mar →
dust23–13-0.0321%26 Mar →
dust213–40.0633%26 Mar →
dust28–13-0.0214%26 Mar →

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.