u󠀡󠀡󠁳ᏁᏦəᏒᏕəᎠ

u󠀡󠀡󠁳ᏁᏦəᏒᏕəᎠ — CS2 Stats

PN76561198301457267[U:1:341191539]Steam profile ↗✓ No bans

993Tracked matches67%Win rate2021Tracked since
10,953Hours in CS46Hrs last 2 wks
CSDB Rating7.6 StrongSupport
Premier CS Rating19,893Top 50% of 215,248 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#88301 of 261457 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 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: 19,893 +1,302 21 Oct – 12 Nov · 6 days played
18,59119,940peak 19,94021 Oct12 Nov
19,999Peak Premier in tracked matches
25Days played since 2026-08-21

Premier CS Rating

  • 47 below peak (19,940)
  • Next: Pink band at 20,000 — 107 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-30
  • Blue band first seen 2026-10-30

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate48.3%44.4%46.9%above
Shot accuracy13.4%11.9%13.0%above
Kill/death ratio1.831.031.08above
Match win rate56.5%45.2%46.7%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGu󠀡󠀡󠁳ᏁᏦəᏒᏕəᎠPREMIER19,893 · 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

Aim79
Positioning69
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWLWLWWLWT

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −4.8pp headshot accuracy · −6ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 534ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 566ms

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 (+1.7 against its own average).

Aim7.9
Utility7.3
Positioning6.9
Opening Duels5.4
Clutch2.6

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 556ms 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

Aim7.9
Positioning6.9
Utility7.3
Mechanics7.5
Opening Duels6.0
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time555ms−48ms
first ⅓ avg 603ms → last ⅓ avg 555ms
Headshot accuracy24.7%−3.1%
first ⅓ avg 27.8% → last ⅓ avg 24.7%

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

0.16Best match rating · 13–10 · inferno, 17 Oct →
67%Best headshot accuracy · 1–5 · inferno, 26 Sept →
406msFastest reaction time · 13–6 · inferno, 23 Sept →
13–1Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 7anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.02
mirageS1711–665%0.01
anubisD143–1121%0.01
dust2A149–564%0.04
cacheD123–925%0.02
ancientS75–271%0.02
trainD62–433%-0.00
nuke—42–250%0.01
vertigo—32–167%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

504,961Lifetime kills
1.83K/D · Top 5% of Purple band
22,071Matches
56.5%Match win rate · Top 5% of Purple band
48.3%Headshot % · Top 50% of Purple band
13.4%Shot accuracy · Top 50% of Purple band
48,730MVPs
5,318Hours (in match)
4,142Bombs planted
1,204Bombs defused

Most-used weapons

AK-4798,975
AWP68,928
SSG 0829,049
MP918,006
Tec-917,921
Zeus x2712,267

Lifetime map wins

49,584office
35,020italy
9,052dust2
8,496inferno
3,750vertigo
3,123dust
2,013nuke
1,975assault

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

Faceit stats

Combat

29Matches
55%Win rate
1.33Avg K/D
101.2ADR
58%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5100%1.6823.6
Dust2560%1.8719.0
Nuke333%1.2120.3
Anubis250%1.0918.5
Inferno250%1.6422.0
Cache10%1.6221.0
Ancient1100%0.9518.0
Vertigo10%1.2719.0

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.

24.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.1%Spray accuracy
83.8%Counter-strafing
13.0°Preaim
556msReaction time
55.0%T opening success
52.6%CT opening success
0.58Enemies flashed / flash
11.0%Flash assists
9.30HE damage / grenade
21.30Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0034° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–130.0114%13 Nov →
ancient13–90.0219%13 Nov →
anubis7–130.0123%13 Nov →
mirage13–70.0517%13 Nov →
dust24–130.0823%12 Nov →
cache16–120.0023%12 Nov →
anubis13–80.0321%12 Nov →
inferno4–130.0733%12 Nov →
mirage13–7-0.0619%12 Nov →
train12–12-0.0334%11 Nov →
dust212–120.0335%11 Nov →
train0–5-0.0840%11 Nov →
mirage13–4-0.0125%11 Nov →
mirage13–80.0830%10 Nov →
inferno13–5-0.0121%10 Nov →
mirage13–50.0123%10 Nov →
train13–3-0.0118%10 Nov →
train13–30.0634%7 Nov →
inferno13–90.0625%7 Nov →
mirage0–13-0.0422%6 Nov →
mirage13–70.0230%6 Nov →
mirage16–13-0.0015%5 Nov →
ancient3–13-0.0334%5 Nov →
inferno13–30.1537%5 Nov →
inferno13–110.0124%5 Nov →
inferno11–13-0.0723%25 Oct →
inferno13–90.0426%25 Oct →
dust28–130.0226%25 Oct →
nuke15–150.0018%21 Oct →
nuke13–4-0.0317%21 Oct →
anubis9–130.0333%21 Oct →
cache8–130.0222%21 Oct →
cache3–13-0.0913%21 Oct →
cache9–130.0419%21 Oct →
cache9–130.0118%21 Oct →
cache9–130.0019%21 Oct →
inferno7–130.0627%17 Oct →
inferno13–100.1617%17 Oct →
vertigo11–130.0925%17 Oct →
mirage3–13-0.0510%17 Oct →
dust213–70.0614%16 Oct →
anubis7–130.0017%16 Oct →
anubis9–13-0.0128%16 Oct →
inferno13–50.0646%16 Oct →
dust213–10-0.0618%16 Oct →
inferno8–13-0.0131%16 Oct →
ancient1–13-0.0026%16 Oct →
train7–130.0427%10 Oct →
cache0–7-0.170%29 Sept →
inferno1–5-0.1067%26 Sept →
anubis9–13-0.0123%26 Sept →
mirage0–2-0.220%26 Sept →
ancient13–100.0628%23 Sept →
inferno13–6-0.1014%23 Sept →
cache4–13-0.0622%23 Sept →
vertigo13–30.1133%23 Sept →
inferno8–13-0.0917%23 Sept →
vertigo13–100.0024%23 Sept →
dust213–10.0324%21 Sept →
ancient13–7-0.0126%20 Sept →
dust213–90.0330%20 Sept →
mirage13–70.0816%20 Sept →
inferno8–130.1123%20 Sept →
inferno6–130.0224%19 Sept →
anubis5–130.0427%19 Sept →
anubis6–130.0231%19 Sept →
dust213–100.0921%19 Sept →
mirage13–40.0421%19 Sept →
mirage13–20.0535%19 Sept →
ancient13–5-0.0224%18 Sept →
nuke10–13-0.0331%18 Sept →
anubis10–130.0422%18 Sept →
dust213–110.0832%18 Sept →
mirage8–130.0523%18 Sept →
anubis2–13-0.0324%18 Sept →
nuke13–110.0924%18 Sept →
anubis9–130.0117%18 Sept →
mirage13–60.1527%18 Sept →
anubis6–13-0.0462%18 Sept →
dust210–13-0.0733%18 Sept →
train12–120.0122%18 Sept →
anubis13–2-0.0221%18 Sept →
mirage9–13-0.0025%16 Sept →
inferno9–130.0329%16 Sept →
anubis13–50.0225%16 Sept →
cache6–130.1224%28 Aug →
ancient13–70.1015%28 Aug →
dust213–80.0817%28 Aug →
dust213–80.0725%27 Aug →
inferno13–11-0.0022%27 Aug →
dust26–130.0345%27 Aug →
inferno11–13-0.0035%26 Aug →
cache13–70.1231%26 Aug →
cache13–70.1523%26 Aug →
cache10–130.0826%23 Aug →
dust213–50.0433%23 Aug →
inferno9–20.1428%23 Aug →
inferno9–7-0.0622%23 Aug →
inferno8–8-0.1234%23 Aug →
inferno9–60.0941%21 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 →

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