vanity

vanity — CS2 Stats

PRO“vvvvvvvvvvvvvvvv”RetiredUnited StatesIGLSettings & gear profile →

76561198165266868[U:1:205001140]Steam profile ↗✓ No bans

1,286Tracked matches50%Win rate2020Tracked since
9,824Hours in CS
CSDB Rating6.7 SolidSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,286 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,741 -2,839 25 Nov – 5 Jul · 7 days played
22,68326,377peak 26,37725 Nov5 Jul
26,377Peak Premier in tracked matches
49Days played since 2025-02-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 12 Sep 2026 and 13 Oct 2026.

Measured 12 Sep 2026 → 13 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.

Performance scores

Aim85
Positioning62
Utility67

0–100 skill scores via Leetify.

Recent form

COLD55–43–2Last 10055%Win rateLLLLWLLWLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −2.3pp headshot accuracy · −2ms reaction

Win rate down 40pp 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 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

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 (+1.3 against its own average).

Aim8.5
Utility6.7
Positioning6.2
Opening Duels4.7
Clutch4.2

Sharp aimerEffective flashes

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

device

Plays most like device 91% playstyle similarity

Most alike: utility contribution, positioning 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. 571ms 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

Aim8.5
Positioning6.2
Utility6.7
Mechanics7.0
Opening Duels3.8
Win Impact5.0

Composite 6.7/10 (Solid), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time578ms+29ms
first ⅓ avg 549ms → last ⅓ avg 578ms
Headshot accuracy20.2%−2.0%
first ⅓ avg 22.3% → last ⅓ avg 20.2%

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

0.18Best match rating · 13–0 · dust2, 3 Feb →
57%Best headshot accuracy · 13–5 · train, 17 Feb →
344msFastest reaction time · 13–6 · inferno, 2 Mar →
13–0Biggest win · dust2, 3 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
4–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 41% over 32
MapGradePlayedRecordWin rateAvg rating
mirageC3213–1941%0.03
dust2B2813–1546%0.04
infernoS1410–471%0.05
nukeS86–275%0.03
overpassS54–180%0.06
anubisA53–260%0.03
cache—33–0100%0.04
ancient—31–233%0.01
train—22–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 32). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

413,058Lifetime kills
1.00K/D
6,981Matches
54.2%Match win rate · Top 10% of tracked players
57.2%Headshot % · Top 10% of tracked players
19.7%Shot accuracy · Top 5% of tracked players
23,656MVPs
9,824Hours (in match)
10,275Bombs planted
3,432Bombs defused

Most-used weapons

AK-47187,624
AWP50,952
SG 55313,127
P25012,433
Knife6,906
AUG4,939

Lifetime map wins

17,267inferno
14,796train
14,151dust2
9,327nuke
6,341cbble
2,231vertigo
25lake
24safehouse

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

Faceit stats

Combat

3,681Matches
58%Win rate
1.11Avg K/D
88.5ADR
46%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
30Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22361%1.2718.3
Dust214357%1.2118.6
Anubis12955%1.1717.2
Ancient6452%1.0415.9
Nuke5167%1.3116.5
Inferno4050%1.1917.7
Train3057%1.2618.8
Vertigo2365%1.1418.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$1,810Inventory value42ItemsFull inventory breakdown →
★ Karambit | Fade (Factory New)$1,775StatTrak™ XM1014 | Incinegator (Field-Tested)$11Dual Berettas | Twin Turbo (Minimal Wear)$9P250 | Nevermore (Factory New)$5Sawed-Off | Apocalypto (Minimal Wear)$2StatTrak™ UMP-45 | Moonrise (Field-Tested)$1

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy
40.3%Accuracy (enemy spotted)
45.1%Spray accuracy
81.3%Counter-strafing
9.8°Preaim
571msReaction time
38.6%T opening success
51.4%CT opening success
0.71Enemies flashed / flash
14.1%Flash assists
11.53HE damage / grenade
10.17Flashes / 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

    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 38.6068% — below the 40% mark we flag

Spend your practice time on Mirage

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

41% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–130.0514%14 Aug →
dust28–13-0.0215%31 Jul →
dust27–130.0226%29 Jul →
mirage5–130.0924%25 Jul →
inferno13–110.0316%24 Jul →
dust210–13-0.0213%24 Jul →
mirage7–13-0.0124%17 Jul →
nuke13–40.0116%17 Jul →
dust21–13-0.0632%17 Jul →
mirage12–130.0411%16 Jul →
nuke13–100.0325%16 Jul →
cache13–90.0431%15 Jul →
cache13–60.0512%9 Jul →
mirage13–80.1416%9 Jul →
mirage9–130.1319%9 Jul →
inferno13–100.0118%9 Jul →
dust216–120.1120%9 Jul →
ancient7–13-0.0423%5 Jul →
dust24–9-0.0030%5 Jul →
mirage7–130.0620%5 Jul →
overpass9–60.0832%5 Jul →
inferno9–6-0.0133%5 Jul →
mirage13–90.0613%3 Jul →
dust213–90.1521%3 Jul →
ancient13–100.1217%3 Jul →
overpass13–100.1318%2 Jul →
inferno13–50.0319%2 Jul →
nuke16–140.0323%2 Jul →
overpass13–110.0418%2 Jul →
dust26–13-0.0120%2 Jul →
mirage10–13-0.0127%2 Jul →
anubis9–130.0314%2 Jul →
dust210–130.0410%2 Jul →
mirage7–130.0233%26 Jun →
mirage13–70.0120%25 Jun →
dust213–90.0425%25 Jun →
inferno13–50.0820%24 Jun →
mirage13–60.0622%15 May →
mirage2–13-0.087%25 Feb →
mirage13–30.1022%13 Feb →
mirage13–90.1122%3 Feb →
dust213–00.1824%3 Feb →
nuke6–9-0.0310%3 Feb →
inferno13–11-0.0530%2 Feb →
overpass10–13-0.0135%2 Feb →
dust23–130.0828%22 Jan →
mirage12–130.0122%14 Jan →
mirage13–30.0515%10 Dec →
nuke13–50.1123%10 Dec →
mirage11–130.0112%10 Dec →
dust213–70.0822%9 Dec →
overpass13–60.0613%9 Dec →
mirage5–13-0.0220%9 Dec →
dust213–100.0131%4 Dec →
inferno13–100.0719%4 Dec →
mirage8–13-0.0923%4 Dec →
nuke13–9-0.0325%30 Nov →
inferno13–100.1520%25 Nov →
dust213–40.0720%25 Nov →
mirage13–70.0527%25 Nov →
dust213–60.1217%25 Nov →
mirage9–3-0.0414%25 Nov →
dust213–80.0028%25 Nov →
mirage13–50.1222%25 Nov →
dust24–130.0222%19 Nov →
mirage13–60.0320%19 Nov →
dust22–13-0.0114%14 Nov →
mirage14–16-0.0028%14 Nov →
inferno15–150.0321%6 Nov →
mirage13–40.0214%6 Nov →
dust210–13-0.0236%6 Nov →
dust211–130.0320%31 Oct →
inferno8–80.1223%25 Jun →
dust213–80.0926%11 Jun →
dust213–5-0.0243%12 Mar →
mirage10–130.0029%7 Mar →
cache13–80.0231%3 Mar →
inferno13–60.0723%2 Mar →
ancient10–13-0.0322%28 Feb →
dust213–20.0926%28 Feb →
anubis13–90.0614%26 Feb →
anubis19–15-0.0010%25 Feb →
mirage6–130.0218%25 Feb →
dust27–13-0.039%24 Feb →
mirage13–80.0523%23 Feb →
mirage5–13-0.0120%22 Feb →
mirage11–130.027%21 Feb →
nuke13–90.089%21 Feb →
mirage7–13-0.0725%21 Feb →
dust214–160.0228%20 Feb →
anubis6–13-0.0216%20 Feb →
mirage8–13-0.0227%20 Feb →
anubis13–70.0615%18 Feb →
train13–50.0557%17 Feb →
dust221–250.0425%17 Feb →
inferno13–90.0411%17 Feb →
inferno9–130.0614%16 Feb →
dust213–60.0225%16 Feb →
nuke9–130.0428%15 Feb →
train13–80.0312%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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