ClitCommander™

ClitCommander™ — CS2 Stats

76561198083317879[U:1:123052151]Steam profile ↗✓ No bans

3,483Tracked matches59%Win rate2024Tracked since
1,370Hours in CS
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating11,107Blue band · top ~49% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−202Premier CS Rating · 11,309 → 11,107

Rating over time

Premier CS Rating: 11,107 +248 1 Sept – 17 Oct · 19 days played
7,53811,667peak 11,6671 Sept17 Oct
12,039Peak Premier in tracked matches
17Days played since 2026-09-01

Premier CS Rating

  • 560 below peak (11,667)
  • Next: Purple band at 15,000 — 3,893 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.4%42.7%43.7%1.4% short
Shot accuracy0.4%11.3%12.0%11.7% short
Kill/death ratio0.710.991.020.31 short
Match win rate45.7%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGClitCommander™FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,107 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning38
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLLWLWTLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · −74ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 519ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 543ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

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 (+1.9 against its own average).

Aim3.8
Utility4.2
Positioning3.8
Opening Duels0.0
Clutch5.2

Limited utility dependence

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

ZywOo

Plays most like ZywOo 77% 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. 598ms 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

Aim3.8
Positioning3.8
Utility4.2
Mechanics5.5
Opening Duels0.6
Win Impact8.1

Composite 4.0/10 (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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time577ms−65ms
first ⅓ avg 641ms → last ⅓ avg 577ms
Headshot accuracy11.9%−1.9%
first ⅓ avg 13.9% → last ⅓ avg 11.9%

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

0.09Best match rating · 13–7 · inferno, 1 Oct →
28%Best headshot accuracy · 6–13 · train, 16 Oct →
453msFastest reaction time · 13–7 · dust2, 14 Oct →
13–0Biggest win · anubis, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 67% over 21dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%-0.03
anubisA1911–858%-0.03
ancientA138–562%-0.04
mirageC135–838%-0.04
nukeD124–833%-0.07
dust2D103–730%-0.04
cacheC94–544%-0.02
train—31–233%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,953Lifetime kills
0.71K/D
3,599Matches
45.7%Match win rate · Top 50% of Level 4 players
42.4%Headshot %
0.4%Shot accuracy
5,324MVPs
1,370Hours (in match)
3,900Bombs planted
541Bombs defused

Most-used weapons

AK-4714,614
MAC-102,149
MP91,825
Tec-91,485
P2501,069
MP7798

Lifetime map wins

12,576dust2
5,232inferno
1,825nuke
1,238train
905vertigo
95office
64italy
5house

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

Faceit stats

Combat

17Matches
53%Win rate
0.84Avg K/D
66.6ADR
43%Headshot %

Clutches & streaks

46%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2956%0.7612.7
Vertigo450%0.7813.5
Mirage2100%1.2816.5
Ancient10%0.9120.0
Anubis10%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.

12.3%Headshot accuracy
31.0%Accuracy (enemy spotted)
33.3%Spray accuracy
74.6%Counter-strafing
13.1°Preaim
598msReaction time
34.9%T opening success
27.6%CT opening success
0.59Enemies flashed / flash
5.5%Flash assists
8.10HE damage / grenade
2.99Flashes / 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 13.1263° — above the 12° mark we flag

    Aim Training →
  2. 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 12.3029% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.9891 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–130.0114%17 Oct →
anubis13–10-0.0310%17 Oct →
mirage3–13-0.056%16 Oct →
train6–13-0.0628%16 Oct →
train3–0-0.120%16 Oct →
nuke12–16-0.0610%15 Oct →
dust213–110.0115%15 Oct →
inferno15–15-0.0412%15 Oct →
mirage14–16-0.0817%14 Oct →
dust213–7-0.0613%14 Oct →
anubis16–13-0.076%14 Oct →
cache13–60.024%13 Oct →
inferno13–40.026%13 Oct →
inferno7–130.0012%13 Oct →
mirage8–13-0.084%13 Oct →
inferno3–13-0.0725%12 Oct →
dust216–12-0.065%12 Oct →
anubis13–10-0.018%12 Oct →
dust22–13-0.049%12 Oct →
mirage13–7-0.0119%12 Oct →
ancient15–15-0.0814%11 Oct →
nuke13–9-0.0311%11 Oct →
ancient13–60.0312%11 Oct →
inferno13–9-0.0615%11 Oct →
nuke3–13-0.1016%11 Oct →
cache3–13-0.0121%11 Oct →
anubis15–15-0.0820%11 Oct →
ancient13–7-0.0421%11 Oct →
inferno13–11-0.057%11 Oct →
inferno13–9-0.055%11 Oct →
inferno4–13-0.0122%11 Oct →
anubis13–8-0.0910%11 Oct →
anubis4–13-0.070%11 Oct →
mirage13–2-0.055%11 Oct →
anubis13–30.029%11 Oct →
inferno13–7-0.0617%10 Oct →
dust26–13-0.0615%10 Oct →
dust25–13-0.109%10 Oct →
nuke13–6-0.0711%10 Oct →
ancient5–13-0.0811%10 Oct →
inferno13–11-0.0414%10 Oct →
nuke6–13-0.118%10 Oct →
anubis13–5-0.049%10 Oct →
cache13–9-0.0713%10 Oct →
inferno13–6-0.0513%10 Oct →
inferno13–10-0.0416%10 Oct →
anubis13–00.0314%10 Oct →
mirage4–13-0.029%10 Oct →
anubis13–11-0.039%9 Oct →
anubis6–13-0.0610%9 Oct →
ancient13–2-0.054%8 Oct →
nuke8–13-0.1012%8 Oct →
dust22–13-0.0823%8 Oct →
mirage13–8-0.028%8 Oct →
inferno13–8-0.037%8 Oct →
dust29–130.0519%8 Oct →
anubis13–2-0.008%7 Oct →
cache13–90.0416%7 Oct →
inferno16–12-0.0414%7 Oct →
inferno13–9-0.0311%7 Oct →
ancient6–13-0.0714%7 Oct →
ancient6–13-0.0520%6 Oct →
mirage7–13-0.0717%6 Oct →
mirage13–4-0.0417%6 Oct →
dust25–13-0.078%6 Oct →
inferno10–20.0518%6 Oct →
anubis16–14-0.063%5 Oct →
cache13–30.0423%5 Oct →
nuke13–11-0.0216%5 Oct →
cache8–13-0.0411%5 Oct →
anubis10–130.0119%5 Oct →
mirage5–13-0.0314%5 Oct →
cache12–16-0.0619%5 Oct →
dust26–13-0.0126%5 Oct →
nuke9–13-0.0610%5 Oct →
anubis2–13-0.0610%5 Oct →
ancient13–7-0.0414%4 Oct →
inferno5–13-0.115%4 Oct →
inferno13–16-0.0214%4 Oct →
inferno9–13-0.0512%4 Oct →
anubis9–130.0018%4 Oct →
ancient13–10-0.0613%4 Oct →
inferno13–11-0.0310%4 Oct →
nuke13–16-0.0512%4 Oct →
mirage2–13-0.063%4 Oct →
cache8–13-0.0324%4 Oct →
train11–13-0.0515%4 Oct →
cache11–13-0.055%3 Oct →
nuke5–13-0.1119%3 Oct →
mirage13–11-0.0018%3 Oct →
nuke5–13-0.1122%3 Oct →
ancient13–9-0.0514%3 Oct →
nuke13–11-0.0615%3 Oct →
anubis13–16-0.0510%2 Oct →
anubis16–13-0.0614%2 Oct →
anubis11–130.0012%2 Oct →
mirage15–15-0.027%1 Oct →
inferno13–70.0915%1 Oct →
ancient13–8-0.019%1 Oct →
ancient13–9-0.0310%1 Oct →

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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