a02

a02 — CS2 Stats

76561197966021145[U:1:5755417]Steam profile ↗✓ No bans

715Tracked matches47%Win rate2020Tracked since
4,840Hours in CS0Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating20,931Top 50% of 205,052 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#68403 of 252455 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 715 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,931 +3,878 30 Aug – 30 Aug · 25 days played
13,51421,977peak 21,97730 Aug30 Aug
22,269Peak Premier in tracked matches
41Days played since 2024-08-30

Premier CS Rating

  • 1,046 below peak (21,977)
  • -277 over 30 days · steady
  • +6,790 over 90 days
  • Next: Red band at 25,000 — 4,069 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.6%46.9%49.3%meets
Shot accuracy22.9%13.0%13.4%above
Kill/death ratio1.101.081.120.03 short
Match win rate52.1%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGa02PREMIER20,931 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWWWLWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.7pp headshot accuracy · −28ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 611ms

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 (+0.9 against its own average).

Aim7.8
Utility5.3
Positioning6.3
Opening Duels4.5

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 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 612ms 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

Aim7.8
Positioning6.3
Utility5.3
Mechanics8.2
Opening Duels4.3
Win Impact3.9

Composite 6.6/10 (Solid), 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 rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time613ms−55ms
first ⅓ avg 668ms → last ⅓ avg 613ms
Headshot accuracy20.3%+0.7%
first ⅓ avg 19.6% → last ⅓ avg 20.3%

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

0.18Best match rating · 13–3 · overpass, 24 May →
43%Best headshot accuracy · 13–8 · anubis, 2 Jul →
469msFastest reaction time · 11–13 · ancient, 10 Sept →
13–0Biggest win · cache, 30 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
6–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3617–1947%0.01
dust2B2110–1148%0.01
infernoA1710–759%0.02
cacheB105–550%0.02
nukeA53–260%0.02
anubisD51–420%0.01
overpass—32–167%0.05
ancient—21–150%0.02
train—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

260,208Lifetime kills
1.10K/D · Top 50% of Pink band
5,961Matches
52.1%Match win rate · Top 25% of Pink band
48.6%Headshot % · Top 50% of Pink band
22.9%Shot accuracy · Top 1% of Pink band
17,010MVPs
3,953Hours (in match)
8,059Bombs planted
1,972Bombs defused

Most-used weapons

AK-47101,875
AWP41,800
P2508,968
FAMAS3,669
SSG 082,396

Lifetime map wins

17,794dust2
9,939inferno
4,345nuke
4,048train
1,722cbble
438office
396vertigo
250militia

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

Skill profile

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

19.6%Headshot accuracy
37.9%Accuracy (enemy spotted)
35.8%Spray accuracy
86.9%Counter-strafing
9.6°Preaim
612msReaction time
43.1%T opening success
51.5%CT opening success
0.61Enemies flashed / flash
4.2%Flash assists
12.46HE damage / grenade
7.18Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0710%30 Aug →
cache13–00.0927%30 Aug →
mirage13–90.0029%29 Aug →
inferno3–13-0.0122%28 Aug →
dust213–80.0021%28 Aug →
dust213–6-0.0215%28 Aug →
nuke13–110.0823%15 Aug →
mirage10–130.0315%15 Aug →
nuke10–130.0126%15 Aug →
dust211–13-0.0116%15 Aug →
mirage9–13-0.0314%15 Aug →
mirage11–130.0820%8 Aug →
inferno13–80.0917%2 Aug →
dust26–13-0.0524%2 Aug →
mirage13–6-0.029%2 Aug →
dust214–16-0.0119%2 Aug →
dust29–13-0.0810%31 Jul →
mirage7–13-0.093%31 Jul →
cache13–9-0.0219%25 Jul →
inferno13–50.0631%25 Jul →
dust29–13-0.0215%25 Jul →
mirage9–13-0.0711%25 Jul →
cache13–16-0.0321%24 Jul →
cache13–90.1234%24 Jul →
mirage11–130.0132%24 Jul →
dust213–110.0127%24 Jul →
anubis7–130.0117%19 Jul →
inferno13–20.0016%19 Jul →
cache11–13-0.0312%19 Jul →
mirage13–60.0232%19 Jul →
dust213–16-0.0231%18 Jul →
cache6–130.0528%18 Jul →
mirage8–13-0.0321%18 Jul →
ancient13–80.0223%18 Jul →
dust213–90.1017%17 Jul →
mirage5–13-0.0726%17 Jul →
mirage11–130.0014%17 Jul →
cache6–13-0.0015%17 Jul →
mirage13–70.0714%17 Jul →
mirage13–110.0737%10 Jul →
inferno6–13-0.0532%10 Jul →
cache13–70.0126%10 Jul →
mirage13–40.0234%10 Jul →
cache13–3-0.0112%10 Jul →
mirage13–60.0423%10 Jul →
overpass12–30.0110%3 Jul →
mirage13–50.0017%3 Jul →
inferno16–12-0.0011%3 Jul →
inferno16–14-0.0519%3 Jul →
mirage15–150.0426%3 Jul →
dust213–70.0124%2 Jul →
anubis13–80.0543%2 Jul →
dust210–130.0431%2 Jul →
mirage16–130.0116%2 Jul →
mirage13–40.0236%2 Jul →
nuke13–110.0613%28 Jun →
inferno5–130.0724%28 Jun →
inferno13–50.0520%28 Jun →
mirage11–130.0320%27 Jun →
inferno13–50.0623%26 Jun →
dust213–90.0633%26 Jun →
nuke11–13-0.0314%13 Jun →
overpass0–13-0.0519%13 Jun →
mirage13–100.0224%13 Jun →
anubis5–13-0.0617%13 Jun →
mirage3–13-0.0729%13 Jun →
nuke13–6-0.0320%13 Jun →
mirage13–80.0220%12 Jun →
mirage9–13-0.066%7 Jun →
dust213–30.0330%7 Jun →
inferno13–80.0113%7 Jun →
mirage13–100.0911%5 Jun →
dust213–80.0220%31 May →
dust27–130.0013%30 May →
overpass13–30.1820%24 May →
cache10–130.0423%24 May →
inferno13–90.0418%24 May →
dust29–130.0514%23 May →
mirage13–20.0515%16 May →
mirage13–20.0929%2 May →
inferno14–160.0316%2 May →
mirage3–130.0212%21 Jun →
inferno8–13-0.0218%21 Jun →
dust28–130.0927%14 Jun →
mirage4–13-0.0028%14 Jun →
mirage8–130.0522%2 Mar →
train13–7-0.0111%22 Feb →
inferno13–110.0215%23 Nov →
inferno7–130.0229%13 Sept →
inferno14–16-0.0229%11 Sept →
ancient11–130.0326%10 Sept →
mirage16–12-0.0321%5 Sept →
dust28–130.0120%5 Sept →
anubis11–130.0113%3 Sept →
mirage13–160.0318%2 Sept →
mirage10–130.0528%1 Sept →
anubis10–130.0515%30 Aug →
dust213–50.0222%30 Aug →
mirage2–13-0.0611%30 Aug →
dust213–4-0.0133%30 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 →

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