žigu žigu ļjē

žigu žigu ļjē — CS2 Stats

76561198017193831[U:1:56928103]Steam profile ↗✓ No bans

1,123Tracked matches43%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 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: 15,000 +768 26 Sept – 16 Oct · 15 days played
12,39615,775peak 15,77526 Sept16 Oct
15,879Peak Premier in tracked matches
14Days played since 2026-09-26

Premier CS Rating

  • 775 below peak (15,775)
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-26
  • Light Blue band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGžigu žigu ļjēPREMIER15,000 · Purple 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

Aim63
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLWWWLTWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.4pp headshot accuracy · −48ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

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 (+1.7 against its own average).

Aim6.3
Utility4.4
Positioning5.5
Opening Duels2.3
Clutch3.0

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

iM

Plays most like iM 88% 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

Areas to improve

Reaction time. 607ms 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

Aim6.3
Positioning5.5
Utility4.4
Mechanics5.7
Opening Duels3.2
Win Impact2.6

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time611ms+38ms
first ⅓ avg 573ms → last ⅓ avg 611ms
Headshot accuracy13.1%+0.2%
first ⅓ avg 13.0% → last ⅓ avg 13.1%

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

0.12Best match rating · 13–7 · dust2, 10 Oct →
35%Best headshot accuracy · 7–13 · dust2, 9 Oct →
445msFastest reaction time · 13–10 · dust2, 4 Oct →
13–2Biggest win · mirage, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 77% over 13cacheWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.02
nukeB178–947%0.00
cacheD162–1413%0.00
mirageA148–657%-0.01
anubisS1310–377%0.04
ancientD82–625%-0.02
infernoA53–260%0.01
train—31–233%0.03
overpass—20–20%0.03
office—10–10%-0.07
rush_001—10–10%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

177Matches
49%Win rate
1.21Avg K/D
79.1ADR
31%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust25859%1.3318.2
Inferno3444%1.0816.4
Nuke2548%1.2617.0
Ancient1850%1.2516.7
Mirage1747%1.2314.8
Anubis1540%1.1516.5
Overpass333%0.8218.0
Train250%1.0419.0

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.

13.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.5%Spray accuracy
75.5%Counter-strafing
7.5°Preaim
607msReaction time
48.5%T opening success
37.2%CT opening success
0.55Enemies flashed / flash
5.6%Flash assists
12.29HE damage / grenade
2.69Flashes / 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 13.0074% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.6855 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.2157% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0717%16 Oct →
nuke13–30.1120%16 Oct →
dust213–110.0112%16 Oct →
anubis13–11-0.006%16 Oct →
cache7–130.0714%16 Oct →
ancient15–15-0.097%16 Oct →
anubis13–90.0715%16 Oct →
nuke6–130.028%16 Oct →
dust27–13-0.087%16 Oct →
mirage1–13-0.057%15 Oct →
dust213–40.039%15 Oct →
cache7–13-0.0233%15 Oct →
overpass10–130.067%15 Oct →
inferno7–13-0.038%15 Oct →
dust23–13-0.0528%15 Oct →
anubis13–40.1115%15 Oct →
nuke13–9-0.0217%15 Oct →
dust215–150.0113%14 Oct →
ancient13–90.0414%14 Oct →
cache9–13-0.0311%14 Oct →
mirage13–20.017%14 Oct →
cache13–8-0.069%14 Oct →
dust22–13-0.053%13 Oct →
anubis9–13-0.0519%13 Oct →
mirage13–10-0.0711%13 Oct →
nuke8–13-0.0615%13 Oct →
overpass2–13-0.0014%13 Oct →
nuke13–50.1015%12 Oct →
dust22–13-0.0310%12 Oct →
train4–130.1123%12 Oct →
cache8–130.0310%12 Oct →
mirage6–13-0.0316%12 Oct →
dust26–130.0013%12 Oct →
nuke10–13-0.0611%12 Oct →
cache8–130.0010%11 Oct →
dust213–70.0015%11 Oct →
nuke13–40.038%11 Oct →
anubis13–50.0416%11 Oct →
dust213–70.1217%10 Oct →
nuke13–11-0.014%10 Oct →
ancient13–11-0.0116%10 Oct →
mirage1–11-0.018%10 Oct →
dust27–130.0535%9 Oct →
anubis13–40.0713%9 Oct →
cache7–130.079%9 Oct →
inferno13–5-0.0015%9 Oct →
anubis13–70.0811%9 Oct →
mirage13–100.0511%8 Oct →
anubis13–6-0.034%8 Oct →
inferno13–70.0711%8 Oct →
cache6–13-0.073%8 Oct →
dust213–30.0715%8 Oct →
anubis13–60.0514%7 Oct →
nuke13–40.0110%7 Oct →
nuke13–8-0.0316%7 Oct →
mirage13–100.0816%7 Oct →
anubis10–130.0314%7 Oct →
office4–13-0.0733%7 Oct →
nuke12–120.0616%7 Oct →
dust25–13-0.0213%7 Oct →
cache2–13-0.1113%7 Oct →
mirage13–11-0.078%7 Oct →
inferno6–130.0213%6 Oct →
nuke12–30.0217%6 Oct →
anubis16–140.1015%6 Oct →
dust29–130.0013%6 Oct →
cache14–160.0116%6 Oct →
ancient1–130.0016%6 Oct →
mirage8–13-0.0512%6 Oct →
dust213–100.0817%4 Oct →
ancient7–130.0111%4 Oct →
anubis13–60.023%4 Oct →
dust25–130.088%4 Oct →
nuke1–13-0.060%4 Oct →
cache3–13-0.035%4 Oct →
mirage13–8-0.0321%4 Oct →
mirage6–13-0.0420%4 Oct →
train13–50.033%4 Oct →
train0–4-0.048%4 Oct →
dust210–130.068%4 Oct →
nuke6–130.0219%4 Oct →
nuke1–6-0.090%3 Oct →
cache13–70.1123%3 Oct →
cache4–13-0.075%3 Oct →
inferno13–11-0.0018%3 Oct →
mirage13–6-0.0310%3 Oct →
dust213–70.088%3 Oct →
ancient4–13-0.0717%3 Oct →
ancient4–130.0411%3 Oct →
nuke10–13-0.048%3 Oct →
mirage3–130.0128%3 Oct →
cache11–130.1125%2 Oct →
cache4–130.0218%2 Oct →
dust213–100.0325%2 Oct →
mirage13–110.0920%2 Oct →
nuke11–130.0612%2 Oct →
dust211–130.0027%2 Oct →
anubis11–130.0710%2 Oct →
rush_0016–8-0.057%2 Oct →
cache4–13-0.047%2 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.