klik_it

klik_it — CS2 Stats

FI76561198141845876[U:1:181580148]Steam profile ↗✓ No bans

1,387Tracked matches47%Win rate2020Tracked since
2,525Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating21,995Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56477 of 259896 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (25 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: 21,995 -2,303 27 Mar – 10 Oct · 25 days played
20,58325,262peak 25,26227 Mar10 Oct
25,268Peak Premier in tracked matches
2,166Highest Faceit ELO seen on CSDB
35Days played since 2026-03-27

Faceit ELO

  • At peak — 2,166
  • Next: 2,500 ELO at 2,500 — 334 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 3,267 below peak (25,262)
  • +1,412 over 30 days · improving
  • Next: Red band at 25,000 — 3,005 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate33.1%46.9%49.3%16.2% short
Shot accuracy16.3%13.0%13.4%above
Kill/death ratio1.241.081.12above
Match win rate43.3%46.7%48.5%5.2% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGklik_itPREMIER21,995 · Pink bandPEAK ELO2,166csdb.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

Aim68
Positioning61
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · +52ms reaction

Win rate up 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 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 539ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 567ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 540ms

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 (+1.6 against its own average).

Aim6.8
Utility6.5
Positioning6.1
Opening Duels3.7
Clutch3.4

Effective flashes

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.8
Positioning6.1
Utility6.5
Mechanics4.1
Opening Duels4.3
Win Impact3.9

Composite 5.8/10 (Solid), 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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time545ms+0ms
first ⅓ avg 545ms → last ⅓ avg 545ms
Headshot accuracy13.4%−0.9%
first ⅓ avg 14.2% → last ⅓ avg 13.4%

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

0.24Best match rating · 9–1 · poseidon, 6 Jun →
53%Best headshot accuracy · 13–6 · anubis, 31 Aug →
344msFastest reaction time · 3–13 · inferno, 6 Sept →
13–2Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%0.02
infernoD226–1627%0.01
ancientS128–467%0.03
nukeA117–464%0.06
cacheS118–373%0.03
anubisC94–544%0.04
mirageB63–350%-0.00
overpassS54–180%0.04
poseidon—11–0100%0.24
sanctum—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,371Lifetime kills
1.24K/D · Top 25% of Pink band
5,727Matches
43.3%Match win rate
33.1%Headshot %
16.3%Shot accuracy · Top 25% of Pink band
12,043MVPs
2,525Hours (in match)
6,728Bombs planted
1,313Bombs defused

Most-used weapons

AWP32,432
AK-4731,798
Tec-92,771
P2502,537
Knife2,396
P902,065

Lifetime map wins

9,605inferno
7,487dust2
5,353nuke
3,308vertigo
829train
539cbble
513lake
191safehouse

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

Faceit stats

Combat

1,338Matches
52%Win rate
1.39Avg K/D
85.9ADR
29%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7149%1.4618.8
Inferno6857%1.4818.6
Nuke6356%1.5218.5
Dust24749%1.4718.4
Mirage3444%1.3518.3
Vertigo1547%1.3217.9
Anubis956%1.2017.4
Train862%1.5718.9

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.

13.3%Headshot accuracy
37.0%Accuracy (enemy spotted)
39.2%Spray accuracy
68.2%Counter-strafing
9.0°Preaim
534msReaction time
47.1%T opening success
46.9%CT opening success
0.70Enemies flashed / flash
15.3%Flash assists
9.98HE damage / grenade
10.11Flashes / 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 13.2948% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.1316%10 Oct →
mirage13–11-0.0310%3 Oct →
anubis0–6-0.030%3 Oct →
anubis5–13-0.0010%3 Oct →
dust216–130.0514%3 Oct →
dust213–70.058%3 Oct →
inferno13–70.0613%3 Oct →
nuke13–110.043%3 Oct →
inferno5–130.0116%3 Oct →
ancient13–100.0511%20 Sept →
dust28–13-0.014%20 Sept →
inferno11–13-0.026%20 Sept →
nuke13–3-0.0012%13 Sept →
anubis16–140.016%6 Sept →
inferno3–13-0.0422%6 Sept →
cache13–20.0611%6 Sept →
mirage14–160.0715%5 Sept →
cache8–130.0917%5 Sept →
inferno13–50.068%5 Sept →
dust27–130.0115%5 Sept →
ancient7–130.0623%5 Sept →
anubis13–60.1553%31 Aug →
cache7–13-0.0421%31 Aug →
ancient11–13-0.057%30 Aug →
inferno10–13-0.018%30 Aug →
nuke13–50.0515%30 Aug →
dust27–13-0.009%13 Jul →
inferno8–13-0.0714%13 Jul →
ancient13–70.0913%13 Jul →
dust213–50.0320%12 Jul →
cache13–10-0.048%12 Jul →
anubis13–100.0116%23 Jun →
dust213–11-0.0016%23 Jun →
inferno13–20.056%23 Jun →
mirage15–15-0.005%16 Jun →
dust213–90.088%16 Jun →
ancient10–13-0.0119%16 Jun →
cache13–50.1116%9 Jun →
ancient13–60.0416%7 Jun →
dust26–13-0.0711%7 Jun →
inferno7–130.017%7 Jun →
inferno6–13-0.0210%6 Jun →
overpass1–7-0.030%6 Jun →
dust210–13-0.010%6 Jun →
ancient13–60.0710%6 Jun →
cache13–70.036%6 Jun →
poseidon9–10.249%6 Jun →
inferno13–11-0.0112%3 Jun →
cache10–10.0716%3 Jun →
ancient7–130.0616%30 May →
dust213–80.0424%30 May →
nuke2–60.0833%30 May →
dust213–60.0223%27 May →
cache13–10-0.0020%27 May →
inferno8–130.0616%26 May →
dust213–160.0713%24 May →
ancient16–120.0410%24 May →
nuke13–10-0.0429%24 May →
inferno13–80.1013%18 May →
dust210–13-0.0527%18 May →
cache13–40.0235%18 May →
cache13–90.0413%11 May →
anubis14–160.0312%9 May →
overpass13–30.1021%9 May →
dust27–13-0.0325%9 May →
nuke11–130.0817%9 May →
inferno7–130.0313%9 May →
cache4–130.000%2 May →
anubis13–100.0213%23 Apr →
ancient13–11-0.0320%14 Apr →
dust210–130.0113%14 Apr →
inferno13–60.0230%14 Apr →
inferno6–130.0016%12 Apr →
overpass13–50.0321%12 Apr →
dust213–90.0114%12 Apr →
mirage6–13-0.0317%12 Apr →
nuke13–30.1522%12 Apr →
overpass13–110.0213%9 Apr →
nuke10–130.1025%9 Apr →
dust27–13-0.0027%9 Apr →
inferno10–130.0112%6 Apr →
dust213–110.032%6 Apr →
ancient13–10-0.0112%6 Apr →
inferno11–130.0410%5 Apr →
nuke6–13-0.0619%5 Apr →
dust28–130.0413%5 Apr →
mirage13–50.0014%4 Apr →
ancient12–50.025%4 Apr →
dust211–130.0217%4 Apr →
inferno15–150.007%4 Apr →
anubis13–160.0413%2 Apr →
nuke13–60.1113%2 Apr →
dust213–80.0931%1 Apr →
inferno11–13-0.034%1 Apr →
inferno10–13-0.0217%29 Mar →
mirage13–11-0.018%29 Mar →
nuke13–80.1314%29 Mar →
inferno15–15-0.0419%27 Mar →
overpass9–50.088%27 Mar →
sanctum9–4-0.023%27 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.