🗿⃤⃢🍷ztrw

🗿⃤⃢🍷ztrw — CS2 Stats

DE76561198015124814[U:1:54859086]Steam profile ↗✓ No bans

680Tracked matches52%Win rate2021Tracked since
727Hours in CS
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating5,447Light Blue band · top ~76.7% of ranked players (population est.)
FaceitLevel 2 · 510 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 5,447 +937 14 Jul – 30 Sept · 26 days played
3,9195,447peak 5,44714 Jul30 Sept
Faceit ELO: 510 +0 3 Sept – 13 Sept · 2 observations
510510peak 5103 Sept13 Sept
5,447Peak Premier in tracked matches
510Highest Faceit ELO seen on CSDB
29Days played since 2026-07-09

Faceit ELO

  • At peak — 510
  • Next: Level 3 at 751 — 241 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-03

Premier CS Rating

  • At peak — 5,447
  • +172 over 30 days · steady
  • +937 over 90 days
  • Next: Blue band at 10,000 — 4,553 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches22——
Win rate45%——
K/D0.89——
Headshot %63%——

Measured 30 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,916), 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 2 medianLevel 3 medianvs Level 3
Headshot rate38.9%41.3%41.8%2.9% short
Shot accuracy7.3%12.7%12.2%5.0% short
Kill/death ratio0.800.950.980.18 short
Match win rate38.0%42.6%43.3%5.2% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG🗿⃤⃢🍷ztrwFACEITLevel 2 · 510 ELOSTANDINGTop 97.9% of rankedPREMIER5,447 · Light Blue bandPEAK ELO510csdb.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

Aim54
Positioning49
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWLTWWLLWTW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −43ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 640ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim5.4
Utility2.3
Positioning4.9
Opening Duels2.1
Clutch6.0

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

jL

Plays most like jL 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.4
Positioning4.9
Utility2.3
Mechanics4.1
Opening Duels2.1
Win Impact5.6

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time634ms−59ms
first ⅓ avg 693ms → last ⅓ avg 634ms
Headshot accuracy17.2%+0.1%
first ⅓ avg 17.1% → last ⅓ avg 17.2%

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

0.09Best match rating · 13–7 · inferno, 1 Aug →
46%Best headshot accuracy · 13–3 · mirage, 11 Jul →
484msFastest reaction time · 13–11 · anubis, 14 Aug →
13–2Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 59% over 17dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC2510–1540%-0.04
mirageD235–1822%-0.04
anubisA1710–759%-0.02
cacheA169–756%-0.03
dust2D102–820%-0.03
ancient—41–325%-0.01
inferno—42–250%-0.03
shelter—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,597Lifetime kills
0.80K/D
2,009Matches
38.0%Match win rate
38.9%Headshot %
7.3%Shot accuracy
2,794MVPs
727Hours (in match)
1,925Bombs planted
291Bombs defused

Most-used weapons

Lifetime map wins

3,412nuke
2,628inferno
1,710dust2
956vertigo
320train
307office
207italy
83cbble

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

Faceit stats

Combat

23Matches
22%Win rate
0.63Avg K/D
74.7ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
55%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%1.1216.3
Ancient30%0.548.3
Dust220%0.6911.5
Nuke2100%0.6411.0
Anubis10%0.9416.0
Inferno10%0.8214.0

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.

17.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.1%Spray accuracy
68.4%Counter-strafing
10.2°Preaim
637msReaction time
38.2%T opening success
38.9%CT opening success
0.25Enemies flashed / flash
0.7%Flash assists
7.38HE damage / grenade
3.46Flashes / 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. 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 0.2473 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.2487% — below the 40% mark we flag

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.

20% win rate across 10 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
nuke13–5-0.0630%30 Sept →
ancient1–13-0.0415%30 Sept →
nuke15–15-0.0115%29 Sept →
cache13–50.0120%28 Sept →
ancient13–11-0.0513%28 Sept →
mirage11–13-0.0423%28 Sept →
inferno8–13-0.0614%28 Sept →
nuke13–2-0.0315%28 Sept →
mirage15–15-0.0423%27 Sept →
anubis13–8-0.0323%27 Sept →
cache13–8-0.0219%27 Sept →
mirage3–13-0.0924%21 Sept →
nuke7–13-0.0421%19 Sept →
nuke7–13-0.0421%14 Sept →
anubis13–40.0433%14 Sept →
mirage11–130.0120%8 Sept →
cache10–13-0.0418%8 Sept →
anubis13–30.0712%8 Sept →
cache10–13-0.0712%7 Sept →
cache13–11-0.0017%4 Sept →
mirage13–11-0.0116%3 Sept →
mirage8–130.004%3 Sept →
cache13–7-0.0014%25 Aug →
mirage13–110.0115%25 Aug →
ancient15–15-0.0020%25 Aug →
nuke16–14-0.0311%24 Aug →
mirage9–13-0.0316%24 Aug →
mirage8–130.038%24 Aug →
nuke13–11-0.0616%24 Aug →
cache3–13-0.065%24 Aug →
mirage4–13-0.1224%15 Aug →
nuke13–80.0219%15 Aug →
nuke13–16-0.0411%15 Aug →
nuke10–13-0.0213%15 Aug →
mirage5–13-0.038%15 Aug →
anubis13–50.0513%14 Aug →
cache13–10-0.0317%14 Aug →
anubis13–110.0010%14 Aug →
mirage13–8-0.0412%14 Aug →
dust211–13-0.0517%14 Aug →
dust213–70.0221%14 Aug →
inferno7–13-0.1110%7 Aug →
mirage9–13-0.045%7 Aug →
anubis5–13-0.066%7 Aug →
dust26–13-0.0224%3 Aug →
dust25–13-0.0310%2 Aug →
anubis13–10-0.0125%1 Aug →
mirage11–13-0.0421%1 Aug →
mirage8–130.057%1 Aug →
inferno13–70.0911%1 Aug →
dust20–3-0.160%1 Aug →
nuke10–130.0212%26 Jul →
inferno13–10-0.055%26 Jul →
mirage7–13-0.099%25 Jul →
anubis13–6-0.0420%25 Jul →
cache13–6-0.0310%25 Jul →
nuke13–7-0.1024%25 Jul →
mirage4–13-0.049%25 Jul →
cache7–130.0216%25 Jul →
anubis13–10-0.0519%25 Jul →
nuke13–40.0210%25 Jul →
anubis5–13-0.0514%25 Jul →
mirage3–13-0.024%25 Jul →
nuke9–13-0.0713%25 Jul →
cache10–13-0.0916%24 Jul →
dust26–13-0.014%24 Jul →
cache13–11-0.0213%24 Jul →
nuke9–13-0.0815%24 Jul →
nuke10–130.0124%18 Jul →
dust215–15-0.0218%17 Jul →
anubis9–13-0.0717%14 Jul →
anubis13–7-0.0110%14 Jul →
mirage7–13-0.0616%14 Jul →
dust27–13-0.0125%13 Jul →
anubis14–160.0218%13 Jul →
ancient6–130.0620%13 Jul →
cache13–10-0.055%13 Jul →
cache11–130.029%13 Jul →
nuke13–4-0.0223%12 Jul →
nuke5–13-0.0527%12 Jul →
anubis16–13-0.0316%12 Jul →
dust213–10-0.0114%12 Jul →
nuke6–13-0.0513%12 Jul →
cache4–13-0.0615%11 Jul →
mirage1–13-0.1113%11 Jul →
nuke5–13-0.0613%11 Jul →
anubis6–13-0.0312%11 Jul →
nuke13–8-0.0026%11 Jul →
mirage13–3-0.0646%11 Jul →
anubis10–13-0.0714%11 Jul →
nuke13–7-0.0611%11 Jul →
shelter13–8-0.0229%11 Jul →
anubis11–13-0.0719%11 Jul →
nuke3–13-0.100%11 Jul →
mirage4–13-0.1110%11 Jul →
nuke3–13-0.108%11 Jul →
cache13–110.0428%11 Jul →
dust27–13-0.0617%9 Jul →
nuke8–13-0.0617%9 Jul →
mirage13–10-0.0116%9 Jul →

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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