iZnOgOuD

iZnOgOuD — CS2 Stats

CD76561198166817088[U:1:206551360]Steam profile ↗✓ No bans

3,713Tracked matches43%Win rate2020Tracked since
5,342Hours in CS
CSDB Rating5.0 DevelopingSupport
Premier CS Rating13,922Blue band · top ~34.1% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 13,922 -3,968 6 Aug – 13 Nov · 63 days played
13,92219,030peak 19,0306 Aug13 Nov
19,302Peak Premier in tracked matches
61Days played since 2026-08-06

Premier CS Rating

  • 5,108 below peak (19,030)
  • -3,950 over 30 days · declining
  • -4,767 over 90 days
  • Next: Purple band at 15,000 — 1,078 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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=13,496), 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 rate43.1%44.8%45.7%2.6% short
Shot accuracy15.0%12.4%12.7%above
Kill/death ratio0.881.031.050.17 short
Match win rate44.0%45.2%45.7%1.7% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

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.GGiZnOgOuDFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,922 · Blue 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

Aim60
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWWLLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · −19ms 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 -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 649ms

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 (+2.3 against its own average).

Aim6.0
Utility5.5
Positioning5.1
Opening Duels0.7
Clutch1.4

Strong CT-side opener

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 79% 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. 644ms 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

Aim6.0
Positioning5.1
Utility5.5
Mechanics6.9
Opening Duels3.2
Win Impact2.6

Composite 5.0/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time637ms−7ms
first ⅓ avg 643ms → last ⅓ avg 637ms
Headshot accuracy16.3%+1.9%
first ⅓ avg 14.4% → last ⅓ avg 16.3%

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

0.14Best match rating · 13–7 · dust2, 1 Nov →
67%Best headshot accuracy · 4–0 · dust2, 12 Sept →
453msFastest reaction time · 7–13 · inferno, 14 Aug →
13–1Biggest win · mirage, 11 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%-0.00
mirageA2011–955%0.00
infernoC198–1142%0.00
ancientB147–750%-0.01
anubisC125–742%-0.01
nukeS75–271%0.00
cacheA74–357%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,323Lifetime kills
0.88K/D
4,979Matches
44.0%Match win rate
43.1%Headshot %
15.0%Shot accuracy · Top 50% of Level 6 players
10,845MVPs
5,342Hours (in match)
5,283Bombs planted
1,347Bombs defused

Most-used weapons

AK-4753,390
AWP3,116
MP92,921
FAMAS2,149
MAC-102,109

Lifetime map wins

13,477dust2
9,412inferno
2,698nuke
2,378vertigo
481train
9office
3safehouse
2ar_shoots

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

Faceit stats

Combat

199Matches
53%Win rate
1.09Avg K/D
80.5ADR
38%Headshot %

Clutches & streaks

27%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1354%1.0513.7
Inferno838%0.9616.5
Dust2650%0.9816.2
Anubis540%0.9214.4
Ancient520%0.8613.4
Vertigo2100%1.0411.0
Nuke1100%0.8315.0
Overpass10%1.0016.0

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.

16.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.6%Spray accuracy
81.2%Counter-strafing
11.4°Preaim
644msReaction time
44.1%T opening success
41.4%CT opening success
0.64Enemies flashed / flash
4.8%Flash assists
13.70HE damage / grenade
6.79Flashes / match

Recommended for you

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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–130.0718%13 Nov →
mirage13–100.0321%13 Nov →
inferno13–10-0.0318%11 Nov →
mirage6–13-0.0512%9 Nov →
ancient8–13-0.0115%7 Nov →
ancient4–13-0.0016%6 Nov →
mirage13–8-0.0026%4 Nov →
dust29–130.0217%1 Nov →
dust213–70.1426%1 Nov →
anubis8–13-0.0312%1 Nov →
dust213–100.0121%1 Nov →
mirage13–9-0.0015%31 Oct →
inferno8–13-0.0121%31 Oct →
dust212–16-0.109%30 Oct →
nuke13–100.0410%30 Oct →
inferno13–70.0813%29 Oct →
dust26–13-0.0221%28 Oct →
cache4–13-0.0117%20 Oct →
inferno13–50.0416%18 Oct →
inferno15–15-0.0519%17 Oct →
mirage10–13-0.0315%15 Oct →
inferno11–13-0.0115%14 Oct →
cache13–10-0.0513%13 Oct →
anubis15–15-0.0720%11 Oct →
ancient3–13-0.0811%11 Oct →
mirage13–40.0212%10 Oct →
inferno5–13-0.029%9 Oct →
dust25–130.0017%9 Oct →
ancient13–5-0.0523%9 Oct →
nuke7–130.0315%8 Oct →
mirage13–70.1318%8 Oct →
nuke13–100.0321%7 Oct →
ancient16–13-0.028%6 Oct →
anubis13–40.0715%6 Oct →
inferno13–50.1016%4 Oct →
mirage8–130.0619%4 Oct →
ancient10–13-0.0712%2 Oct →
dust210–13-0.0413%1 Oct →
anubis13–16-0.0313%29 Sept →
cache14–16-0.0512%21 Sept →
mirage13–16-0.0315%20 Sept →
mirage6–13-0.067%19 Sept →
nuke16–120.0219%19 Sept →
dust213–110.0528%19 Sept →
anubis7–13-0.0230%18 Sept →
inferno13–110.0616%18 Sept →
dust211–130.0023%18 Sept →
dust213–9-0.0614%18 Sept →
cache13–10-0.0615%17 Sept →
mirage13–10-0.0213%16 Sept →
anubis13–3-0.008%16 Sept →
mirage13–11-0.0313%12 Sept →
ancient6–13-0.0610%12 Sept →
dust24–00.0667%12 Sept →
inferno10–13-0.0314%11 Sept →
dust25–13-0.0214%10 Sept →
inferno13–60.0832%10 Sept →
inferno7–13-0.0313%8 Sept →
mirage13–40.0018%8 Sept →
cache7–13-0.0213%8 Sept →
dust210–13-0.0916%7 Sept →
dust213–60.0723%6 Sept →
mirage13–8-0.0115%6 Sept →
anubis13–80.0013%6 Sept →
ancient16–14-0.0213%6 Sept →
nuke16–130.0010%5 Sept →
dust213–70.0128%3 Sept →
mirage9–130.0124%1 Sept →
ancient11–130.013%29 Aug →
anubis16–140.0910%29 Aug →
mirage15–150.0114%28 Aug →
mirage13–80.0518%28 Aug →
ancient13–8-0.044%26 Aug →
dust211–13-0.0217%25 Aug →
anubis15–15-0.0214%23 Aug →
inferno11–130.0117%22 Aug →
dust211–13-0.0216%22 Aug →
ancient4–13-0.0418%21 Aug →
nuke13–7-0.0915%19 Aug →
dust213–11-0.017%18 Aug →
inferno12–16-0.0625%17 Aug →
mirage5–13-0.0312%16 Aug →
anubis10–13-0.0318%15 Aug →
inferno13–110.0310%15 Aug →
inferno7–13-0.0713%14 Aug →
anubis10–13-0.0324%14 Aug →
ancient13–4-0.0116%14 Aug →
mirage13–1-0.0314%11 Aug →
cache13–10-0.0022%10 Aug →
dust27–13-0.0315%10 Aug →
inferno4–13-0.093%10 Aug →
dust213–50.1020%9 Aug →
ancient13–30.0813%9 Aug →
dust211–13-0.079%8 Aug →
cache13–11-0.0116%8 Aug →
nuke14–16-0.0110%8 Aug →
anubis13–8-0.0214%7 Aug →
ancient13–70.1116%7 Aug →
inferno11–130.0117%7 Aug →
inferno13–100.0013%6 Aug →

Match data via Leetify.

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.