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󠀡 — CS2 Stats

AQ76561198129788640[U:1:169522912]Steam profile ↗✓ No bans

499Tracked matches41%Win rate2020Tracked since
3,090Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating15,690Purple band · top ~25.7% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (8 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: 15,690 -6,709 10 Apr – 22 Oct · 16 days played
15,36622,430peak 22,43010 Apr22 Oct
22,430Peak Premier in tracked matches
38Days played since 2026-04-10

Premier CS Rating

  • 6,740 below peak (22,430)
  • +92 over 30 days · steady
  • +324 over 90 days
  • Next: Pink band at 20,000 — 4,310 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.0%41.8%42.7%2.7% short
Shot accuracy14.9%12.2%11.2%above
Kill/death ratio0.380.980.990.62 short
Match win rate37.7%43.3%43.9%6.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG󠀡FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,690 · 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

Aim86
Positioning71
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateWLWWLLWLLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −35ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 485ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

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 (+1.9 against its own average).

Aim8.6
Utility5.0
Positioning7.1
Opening Duels5.6
Clutch3.2

Sharp aimerLimited 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 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 61% 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.

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

Aim8.6
Positioning7.1
Utility5.0
Mechanics7.7
Opening Duels7.2
Win Impact1.9

Composite 6.8/10 (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+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time545ms−34ms
first ⅓ avg 579ms → last ⅓ avg 545ms
Headshot accuracy20.3%−0.8%
first ⅓ avg 21.0% → 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

0.21Best match rating · 13–3 · cache, 11 May →
40%Best headshot accuracy · 13–9 · shelter, 15 Jul →
375msFastest reaction time · 10–13 · office, 4 Oct →
13–2Biggest win · cache, 25 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

officeBest map · 67% over 6mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.04
cacheB137–654%0.06
mirageD122–1017%0.03
infernoB115–645%0.01
ancientD113–827%0.01
officeS64–267%0.08
anubisD62–433%0.01
nukeD51–420%0.01
overpass—30–30%0.03
vertigo—20–20%0.06
shelter—22–0100%0.09
fachwerk—11–0100%-0.04
train—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,344Lifetime kills
0.38K/D
8,044Matches
37.7%Match win rate
40.0%Headshot %
14.9%Shot accuracy · Top 50% of Level 3 players
13,637MVPs
3,090Hours (in match)
840Bombs planted
441Bombs defused

Most-used weapons

Lifetime map wins

3,493dust2
2,303inferno
765vertigo
658nuke
645cbble
587office
366train
130italy

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

Faceit stats

Combat

189Matches
50%Win rate
1.28Avg K/D
94.9ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage875%1.6316.0
Dust2683%1.4818.0
Inferno450%1.5725.3
Ancient333%1.2419.0
Nuke250%1.8016.5
Cache10%0.9518.0
Anubis10%0.9313.0

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.

20.4%Headshot accuracy
38.5%Accuracy (enemy spotted)
39.6%Spray accuracy
84.4%Counter-strafing
9.0°Preaim
536msReaction time
60.9%T opening success
57.0%CT opening success
0.48Enemies flashed / flash
8.1%Flash assists
10.81HE damage / grenade
2.72Flashes / 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 0.4759 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.1116%22 Oct →
dust28–130.0119%22 Oct →
fachwerk13–7-0.0417%22 Oct →
dust213–60.0933%20 Oct →
vertigo5–130.0819%20 Oct →
train3–13-0.0025%20 Oct →
office13–60.1429%15 Oct →
dust210–130.1414%15 Oct →
anubis3–130.0016%15 Oct →
nuke6–130.0212%10 Oct →
mirage7–13-0.0719%9 Oct →
inferno3–13-0.0527%9 Oct →
cache7–130.0721%9 Oct →
mirage7–130.1523%9 Oct →
dust21–13-0.0414%9 Oct →
office12–120.1230%9 Oct →
dust213–80.0514%9 Oct →
mirage9–130.0924%9 Oct →
vertigo3–130.0518%9 Oct →
office10–130.1230%4 Oct →
dust213–60.1031%4 Oct →
inferno13–50.0328%25 Sept →
anubis13–110.0516%25 Sept →
ancient15–150.0218%25 Sept →
cache13–20.0610%25 Sept →
inferno9–130.0519%25 Sept →
anubis13–9-0.0615%25 Sept →
shelter13–50.0724%21 Sept →
overpass4–130.0614%21 Sept →
anubis12–120.0116%21 Sept →
nuke10–130.0623%21 Sept →
inferno3–13-0.0817%12 Sept →
ancient0–10-0.0018%12 Sept →
dust23–13-0.0326%11 Sept →
dust28–130.0930%11 Sept →
inferno13–80.0418%19 Aug →
mirage11–130.0215%7 Aug →
mirage8–130.0113%7 Aug →
inferno13–60.0418%7 Aug →
dust213–90.0214%7 Aug →
cache13–50.0912%7 Aug →
dust27–13-0.0311%2 Aug →
inferno11–13-0.0017%1 Aug →
nuke13–30.0335%1 Aug →
office13–100.0725%1 Aug →
anubis7–130.0418%31 Jul →
ancient16–130.0117%31 Jul →
inferno13–60.0121%31 Jul →
ancient11–130.0117%31 Jul →
dust213–110.0313%31 Jul →
ancient9–130.0217%31 Jul →
cache16–130.0415%31 Jul →
dust210–130.1137%31 Jul →
inferno11–13-0.0415%24 Jul →
ancient13–70.1014%24 Jul →
dust211–130.109%24 Jul →
shelter13–90.1140%15 Jul →
office13–100.0127%15 Jul →
mirage6–13-0.0130%15 Jul →
cache8–130.0121%15 Jul →
dust213–40.0921%27 Jun →
mirage10–13-0.0617%27 Jun →
dust27–13-0.0214%20 Jun →
cache10–13-0.0517%19 Jun →
nuke6–13-0.0332%19 Jun →
dust28–130.0215%19 Jun →
inferno13–30.0725%19 Jun →
office13–50.0430%19 Jun →
mirage12–120.0424%19 Jun →
dust213–90.0123%16 Jun →
overpass10–130.0213%6 Jun →
ancient6–00.0933%5 Jun →
dust23–130.1034%5 Jun →
cache13–60.0320%2 Jun →
cache11–130.1620%31 May →
dust213–100.1223%25 May →
inferno4–130.0621%25 May →
dust213–11-0.0511%22 May →
ancient8–13-0.0327%22 May →
ancient1–13-0.0310%22 May →
mirage13–16-0.0513%15 May →
dust213–10-0.0416%15 May →
dust213–80.0220%15 May →
cache13–30.2122%11 May →
anubis9–130.0224%8 May →
overpass5–130.0213%8 May →
cache13–110.1118%5 May →
dust213–40.1039%4 May →
cache13–30.0430%4 May →
cache12–12-0.0016%3 May →
cache11–130.0419%3 May →
ancient2–13-0.086%24 Apr →
dust29–130.0317%24 Apr →
dust213–10-0.0017%19 Apr →
nuke6–13-0.0218%19 Apr →
mirage13–80.1233%15 Apr →
dust213–80.0726%15 Apr →
mirage4–13-0.0414%11 Apr →
ancient4–13-0.0118%11 Apr →
dust25–130.0523%10 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 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.