Zertyhi

Zertyhi — CS2 Stats

FI76561198354441350[U:1:394175622]Steam profile ↗✓ No bans

789Tracked matches41%Win rate2021Tracked since
532Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating13,904Blue band · top ~34.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (5 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: 13,904 -2,874 19 Aug – 1 Nov · 31 days played
13,77216,778peak 16,77819 Aug1 Nov
16,778Peak Premier in tracked matches
34Days played since 2026-08-19

Premier CS Rating

  • 2,874 below peak (16,778)
  • -41 over 30 days · steady
  • Next: Purple band at 15,000 — 1,096 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.5%42.0%44.4%11.8% short
Shot accuracy8.2%9.6%11.9%3.7% short
Kill/death ratio0.970.981.030.06 short
Match win rate41.3%43.8%45.2%4.0% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGZertyhiPREMIER13,904 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning63
Utility41

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateWLLLLLLLWT

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · −13ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 516ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 487ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 493ms

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 (+2 against its own average).

Aim7.7
Utility4.1
Positioning6.3
Opening Duels3.8
Clutch3.2

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

donk

Plays most like donk 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.7
Positioning6.3
Utility4.1
Mechanics5.4
Opening Duels5.1
Win Impact2.1

Composite 5.4/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time471ms−69ms
first ⅓ avg 541ms → last ⅓ avg 471ms
Headshot accuracy13.0%−5.5%
first ⅓ avg 18.6% → last ⅓ avg 13.0%

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

0.24Best match rating · 4–0 · inferno, 22 Aug →
100%Best headshot accuracy · 4–0 · inferno, 22 Aug →
328msFastest reaction time · 13–0 · cache, 23 Sept →
13–0Biggest win · cache, 23 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 60% over 25dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.00
infernoC197–1237%0.01
anubisD124–833%-0.00
nukeC125–742%0.04
cacheA127–558%0.02
ancientA95–456%-0.01
dust2D61–517%0.03
overpass—42–250%0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,456Lifetime kills
0.97K/D
1,575Matches
41.3%Match win rate
32.5%Headshot %
8.2%Shot accuracy
3,165MVPs
532Hours (in match)
1,717Bombs planted
407Bombs defused

Most-used weapons

Lifetime map wins

1,948nuke
1,370inferno
1,176dust2
630vertigo
573train
98lake
82cbble
67office

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

Faceit stats

Combat

146Matches
48%Win rate
0.97Avg K/D
70.9ADR
27%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3444%0.8913.3
Nuke2864%1.2216.4
Inferno2650%0.7911.6
Anubis2330%1.0115.4
Mirage2055%0.9713.7
Dust2933%0.7711.3
Cache475%1.2018.8
Train20%0.7712.0

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.

12.9%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.2%Spray accuracy
74.1%Counter-strafing
9.1°Preaim
473msReaction time
54.8%T opening success
45.8%CT opening success
0.40Enemies flashed / flash
5.0%Flash assists
9.88HE damage / grenade
4.83Flashes / 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 12.9269% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3966 — below the 0.5 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.

17% win rate across 6 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
mirage13–80.054%1 Nov →
inferno4–9-0.1517%1 Nov →
overpass1–9-0.0617%1 Nov →
vertigo5–130.0112%1 Nov →
anubis14–160.0511%31 Oct →
mirage11–130.0329%30 Oct →
dust25–130.0918%20 Oct →
dust211–130.038%20 Oct →
inferno13–70.0121%20 Oct →
ancient15–15-0.0510%19 Oct →
inferno13–11-0.040%19 Oct →
nuke9–60.2211%12 Oct →
ancient13–110.0417%10 Oct →
ancient12–160.0315%10 Oct →
anubis6–130.017%10 Oct →
mirage13–60.0718%10 Oct →
mirage9–13-0.009%10 Oct →
mirage14–16-0.0110%10 Oct →
mirage13–9-0.0725%9 Oct →
nuke9–13-0.0223%6 Oct →
anubis13–60.0413%6 Oct →
cache13–110.0312%6 Oct →
anubis13–100.0211%6 Oct →
cache13–80.029%5 Oct →
nuke5–13-0.060%5 Oct →
anubis5–13-0.017%5 Oct →
cache9–13-0.0224%28 Sept →
anubis8–13-0.0414%28 Sept →
mirage5–13-0.019%26 Sept →
anubis6–13-0.017%26 Sept →
dust213–30.049%24 Sept →
inferno0–6-0.046%23 Sept →
cache13–00.0629%23 Sept →
dust210–13-0.0319%23 Sept →
inferno6–130.0614%23 Sept →
anubis4–0-0.018%23 Sept →
mirage13–60.068%23 Sept →
dust25–130.0529%23 Sept →
mirage9–130.018%23 Sept →
mirage13–11-0.0316%22 Sept →
anubis13–16-0.1119%22 Sept →
ancient13–3-0.0740%22 Sept →
mirage13–6-0.0523%22 Sept →
nuke7–130.0116%20 Sept →
ancient6–13-0.0220%15 Sept →
cache13–60.0218%15 Sept →
ancient13–11-0.0217%15 Sept →
inferno13–30.0319%15 Sept →
cache4–13-0.0215%14 Sept →
mirage7–13-0.0021%14 Sept →
inferno13–90.0119%14 Sept →
mirage13–7-0.006%13 Sept →
cache0–13-0.0122%12 Sept →
mirage13–20.0310%12 Sept →
nuke9–60.2330%12 Sept →
cache7–13-0.056%9 Sept →
inferno15–15-0.019%9 Sept →
mirage13–30.0216%9 Sept →
nuke13–30.0527%9 Sept →
mirage5–13-0.0827%8 Sept →
ancient13–60.0219%8 Sept →
inferno11–130.0219%8 Sept →
mirage13–4-0.049%8 Sept →
mirage13–30.0721%7 Sept →
mirage16–14-0.0519%6 Sept →
nuke4–13-0.0112%6 Sept →
inferno13–5-0.080%6 Sept →
anubis2–13-0.0226%4 Sept →
inferno5–13-0.053%4 Sept →
mirage13–1-0.0229%4 Sept →
nuke7–12-0.0518%4 Sept →
anubis7–130.0016%2 Sept →
overpass13–30.1314%29 Aug →
nuke13–110.0014%29 Aug →
cache13–90.0318%29 Aug →
cache13–40.0924%29 Aug →
ancient13–80.1220%29 Aug →
nuke13–60.1820%29 Aug →
overpass13–9-0.0017%27 Aug →
mirage13–110.034%27 Aug →
mirage11–130.0417%26 Aug →
inferno12–120.0311%26 Aug →
cache13–60.1212%26 Aug →
mirage13–20.007%26 Aug →
inferno8–80.1216%26 Aug →
nuke7–9-0.0411%26 Aug →
inferno7–90.1410%26 Aug →
inferno14–16-0.0316%24 Aug →
dust28–130.0220%22 Aug →
inferno4–00.24100%22 Aug →
nuke11–130.0221%22 Aug →
inferno13–30.0122%22 Aug →
mirage5–130.0619%21 Aug →
ancient4–13-0.1121%21 Aug →
overpass11–13-0.0022%21 Aug →
cache11–13-0.0310%20 Aug →
mirage5–13-0.059%20 Aug →
inferno4–13-0.0724%20 Aug →
anubis13–30.070%19 Aug →
inferno12–120.0620%19 Aug →

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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