Yapmasan olur mu?

Yapmasan olur mu? — CS2 Stats

MK76561198354210779[U:1:393945051]Steam profile ↗✓ No bans

557Tracked matches37%Win rate2021Tracked since
1,110Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating21,663Top 50% of 215,248 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61524 of 261485 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (29 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: 21,663 -1,026 18 Sept – 16 Oct · 19 days played
20,96122,689peak 22,68918 Sept16 Oct
23,021Peak Premier in tracked matches
23Days played since 2026-09-18

Premier CS Rating

  • 1,026 below peak (22,689)
  • -1,026 over 30 days · declining
  • Next: Red band at 25,000 — 3,337 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-21
  • Purple band first seen 2026-09-21

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate35.8%46.8%48.2%12.5% short
Shot accuracy16.6%13.0%13.2%above
Kill/death ratio1.191.061.07above
Match win rate47.9%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYapmasan olur mu?FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,663 · Pink 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

Aim66
Positioning67
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWLWLWLWWW

Last 10 vs previous 10: +20pp win rate · −0.06 avg rating · +0.5pp headshot accuracy · −48ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 20%
  • Avg reaction 466ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 489ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

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 (+2.8 against its own average).

Aim6.6
Utility3.3
Positioning6.7
Opening Duels2.6
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

donk

Plays most like donk 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 63% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim6.6
Positioning6.7
Utility3.3
Mechanics3.4
Opening Duels6.0
Win Impact0.7

Composite 5.1/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time515ms−33ms
first ⅓ avg 548ms → last ⅓ avg 515ms
Headshot accuracy20.4%+1.0%
first ⅓ avg 19.4% → last ⅓ avg 20.4%

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

0.22Best match rating · 9–7 · nuke, 10 Oct →
50%Best headshot accuracy · 2–13 · anubis, 7 Oct →
344msFastest reaction time · 1–9 · inferno, 19 Oct →
13–0Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 60% over 30dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA3018–1260%-0.03
dust2D216–1529%-0.01
mirageC146–843%-0.01
nukeB115–645%0.02
anubisC104–640%0.01
ancientB63–350%0.00
vertigo—43–175%0.05
cache—31–233%-0.01
overpass—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,776Lifetime kills
1.19K/D · Top 25% of Level 8 players
2,931Matches
47.9%Match win rate · Top 50% of Level 8 players
35.8%Headshot %
16.6%Shot accuracy · Top 25% of Level 8 players
9,115MVPs
1,110Hours (in match)
3,891Bombs planted
884Bombs defused

Most-used weapons

AK-4712,754
AWP10,877
P901,587
SSG 081,513
MP71,380
P2501,303

Lifetime map wins

17,219dust2
2,074inferno
1,042cbble
894nuke
633train
586vertigo
194office
156lake

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

Faceit stats

Combat

165Matches
57%Win rate
1.00Avg K/D
77.3ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22759%0.9515.0
Mirage1573%1.0017.1
Anubis1267%1.1717.1
Ancient633%0.8815.0
Inferno667%0.8615.5
Nuke683%0.9913.5
Cache540%1.1818.2

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.

22.3%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.4%Spray accuracy
65.1%Counter-strafing
8.7°Preaim
566msReaction time
62.6%T opening success
45.8%CT opening success
0.52Enemies flashed / flash
5.9%Flash assists
9.75HE damage / grenade
4.06Flashes / match

Recommended for you

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.

29% win rate across 21 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
dust210–13-0.0718%19 Oct →
inferno9–7-0.0423%19 Oct →
inferno1–9-0.3212%19 Oct →
inferno9–10.0913%17 Oct →
inferno5–9-0.1035%17 Oct →
inferno9–6-0.0015%17 Oct →
dust27–13-0.0420%16 Oct →
inferno9–7-0.0416%16 Oct →
inferno9–60.0226%16 Oct →
inferno9–30.0729%16 Oct →
vertigo3–9-0.0618%15 Oct →
nuke8–80.1117%15 Oct →
inferno9–60.0210%15 Oct →
inferno9–60.1412%15 Oct →
inferno9–50.1132%13 Oct →
overpass5–9-0.0414%13 Oct →
inferno4–9-0.0825%13 Oct →
inferno9–3-0.0237%13 Oct →
inferno8–8-0.0621%13 Oct →
nuke8–80.0415%13 Oct →
inferno7–9-0.0926%12 Oct →
nuke9–50.1024%12 Oct →
inferno9–7-0.0516%12 Oct →
inferno4–90.0015%12 Oct →
nuke5–9-0.0218%12 Oct →
inferno5–9-0.0523%12 Oct →
nuke7–9-0.0316%12 Oct →
inferno9–4-0.0716%12 Oct →
inferno9–5-0.0517%12 Oct →
inferno6–9-0.0622%12 Oct →
vertigo9–00.1424%12 Oct →
inferno9–60.0720%12 Oct →
inferno9–3-0.0229%12 Oct →
nuke1–7-0.047%12 Oct →
anubis5–13-0.0640%11 Oct →
nuke16–14-0.0323%11 Oct →
dust215–15-0.0122%11 Oct →
nuke9–70.2218%10 Oct →
inferno0–9-0.2614%10 Oct →
nuke8–80.0228%10 Oct →
inferno13–8-0.0621%10 Oct →
dust28–13-0.0422%9 Oct →
dust29–13-0.0032%9 Oct →
mirage9–13-0.0035%9 Oct →
anubis15–15-0.0422%7 Oct →
mirage10–13-0.0516%7 Oct →
inferno8–80.1314%7 Oct →
vertigo9–20.0630%7 Oct →
nuke13–7-0.0131%7 Oct →
inferno3–9-0.1112%7 Oct →
anubis2–130.0150%7 Oct →
nuke13–1-0.1017%5 Oct →
dust28–13-0.0322%5 Oct →
anubis13–4-0.0421%5 Oct →
inferno13–8-0.0229%5 Oct →
ancient9–130.0527%3 Oct →
mirage13–4-0.0318%3 Oct →
ancient15–150.0124%2 Oct →
dust213–60.0514%2 Oct →
mirage13–20.0222%2 Oct →
anubis9–130.0320%1 Oct →
mirage13–9-0.0515%1 Oct →
mirage10–13-0.0214%1 Oct →
mirage9–13-0.0017%30 Sept →
dust24–13-0.0922%30 Sept →
dust29–130.0523%30 Sept →
mirage7–13-0.0216%30 Sept →
ancient13–11-0.0421%29 Sept →
inferno13–8-0.0319%29 Sept →
ancient13–20.0627%29 Sept →
dust213–20.0822%29 Sept →
anubis7–13-0.0417%25 Sept →
dust210–13-0.0235%25 Sept →
mirage13–70.0127%25 Sept →
cache10–13-0.0516%25 Sept →
anubis13–5-0.0021%25 Sept →
cache5–130.0318%25 Sept →
mirage13–3-0.0822%25 Sept →
dust211–13-0.0427%24 Sept →
dust213–11-0.0415%24 Sept →
dust23–13-0.0413%23 Sept →
mirage13–110.0111%23 Sept →
dust213–10-0.0513%23 Sept →
cache13–7-0.0126%23 Sept →
vertigo13–00.0519%23 Sept →
dust29–130.0326%21 Sept →
anubis13–70.125%21 Sept →
dust25–130.0120%21 Sept →
mirage9–130.0814%20 Sept →
anubis9–130.0314%19 Sept →
dust213–16-0.0717%19 Sept →
mirage3–30.1025%19 Sept →
dust213–10.0718%19 Sept →
mirage8–13-0.1019%19 Sept →
ancient13–9-0.0522%19 Sept →
dust29–13-0.0524%19 Sept →
inferno1–13-0.088%19 Sept →
anubis13–40.0613%19 Sept →
ancient2–7-0.0019%18 Sept →
dust213–40.0127%18 Sept →

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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