ozzy

ozzy — CS2 Stats

GB76561199065575328[U:1:1105309600]Steam profile ↗✓ No bans

1,546Tracked matches71%Win rate2021Tracked since
1,727Hours in CS1Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 1,546
+3.6ppWin rate · 67.9% → 71.4%

Rating over time

Premier CS Rating: 20,623 +2,583 19 Jun – 2 Jul · 8 days played
18,04021,206peak 21,20619 Jun2 Jul
21,206Peak Premier in tracked matches
44Days played since 2026-05-08

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.4%44.8%45.7%1.3% short
Shot accuracy11.5%12.4%12.7%1.2% short
Kill/death ratio0.961.031.050.09 short
Match win rate49.1%45.2%45.7%above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGozzyFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim76
Positioning67
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWLLLWWWLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.5pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 574ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 571ms

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 (+2.3 against its own average).

Aim7.6
Utility4.7
Positioning6.7
Opening Duels6.1
Clutch0.2

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

s1mple

Plays most like s1mple 91% 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

T-side openings. Opening success drops from 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim7.6
Positioning6.7
Utility4.7
Mechanics6.6
Opening Duels4.5
Win Impact10.0

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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time568ms−23ms
first ⅓ avg 591ms → last ⅓ avg 568ms
Headshot accuracy15.9%+0.1%
first ⅓ avg 15.8% → last ⅓ avg 15.9%

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 · 13–8 · vertigo, 21 May →
32%Best headshot accuracy · 12–12 · cache, 23 May →
344msFastest reaction time · 4–13 · office, 23 Jul →
13–1Biggest win · inferno, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 18officeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
anubisA1912–763%-0.00
ancientS1812–667%-0.00
nukeA1810–856%0.01
overpassC125–742%-0.01
infernoD92–722%-0.04
vertigoS96–367%-0.01
officeD50–50%-0.01
dust2—41–325%-0.04
mirage—21–150%-0.04
cache—20–20%-0.01
boulder—11–0100%0.08
train—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

42,577Lifetime kills
0.96K/D
2,569Matches
49.1%Match win rate · Top 25% of Level 6 players
44.4%Headshot %
11.5%Shot accuracy
7,680MVPs
865Hours (in match)
2,530Bombs planted
1,548Bombs defused

Most-used weapons

Lifetime map wins

8,726vertigo
4,713nuke
2,695inferno
576dust2
454train
329office
40cbble
30lake

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

Faceit stats

Combat

204Matches
55%Win rate
1.02Avg K/D
88.5ADR
40%Headshot %

Clutches & streaks

21%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3057%1.0516.9
Nuke1963%1.2519.0
Anubis1958%1.1316.6
Inferno1867%1.0413.0
Vertigo743%0.9114.4
Mirage450%0.9716.5
Overpass10%0.574.0

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.

15.4%Headshot accuracy
39.0%Accuracy (enemy spotted)
46.5%Spray accuracy
79.9%Counter-strafing
11.4°Preaim
567msReaction time
38.6%T opening success
57.5%CT opening success
0.47Enemies flashed / flash
9.9%Flash assists
8.68HE damage / grenade
6.32Flashes / 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 0.4686 — 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 38.6088% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.008%11 Oct →
nuke6–13-0.0014%16 Sept →
mirage9–13-0.0319%16 Sept →
dust29–13-0.0314%16 Sept →
ancient13–100.0519%15 Sept →
anubis13–40.0619%14 Sept →
ancient13–9-0.0716%10 Sept →
office7–13-0.0424%9 Sept →
dust211–13-0.0424%9 Sept →
boulder13–50.0829%9 Sept →
overpass13–7-0.0013%9 Sept →
anubis13–8-0.0115%21 Aug →
anubis13–9-0.0114%21 Aug →
nuke13–90.0518%20 Aug →
ancient13–110.0221%17 Aug →
inferno12–12-0.055%17 Aug →
inferno13–10.0413%15 Aug →
nuke13–70.0317%14 Aug →
inferno4–9-0.2224%9 Aug →
vertigo4–9-0.0912%9 Aug →
ancient13–80.0121%6 Aug →
nuke13–60.0521%4 Aug →
ancient22–19-0.034%3 Aug →
vertigo9–70.0313%3 Aug →
anubis13–70.0013%2 Aug →
inferno4–13-0.0311%1 Aug →
anubis13–90.0020%1 Aug →
nuke12–120.016%30 Jul →
vertigo13–100.0115%30 Jul →
office4–13-0.0611%23 Jul →
dust213–1-0.0420%23 Jul →
mirage13–11-0.0618%22 Jul →
anubis8–13-0.0316%22 Jul →
vertigo8–13-0.0714%21 Jul →
anubis9–130.0119%21 Jul →
nuke0–13-0.060%21 Jul →
nuke15–150.0115%10 Jul →
anubis10–130.0116%9 Jul →
ancient13–11-0.0120%9 Jul →
office6–110.0521%9 Jul →
dust20–9-0.048%8 Jul →
anubis8–13-0.095%2 Jul →
ancient13–11-0.027%2 Jul →
ancient11–130.0211%28 Jun →
overpass10–13-0.0016%28 Jun →
office4–130.018%26 Jun →
overpass13–40.0119%26 Jun →
overpass2–13-0.058%26 Jun →
anubis8–13-0.0013%26 Jun →
nuke13–9-0.0115%26 Jun →
ancient13–110.0115%26 Jun →
overpass8–130.0221%24 Jun →
anubis10–20.0323%24 Jun →
ancient13–30.0722%24 Jun →
nuke13–90.0112%24 Jun →
vertigo8–13-0.0114%22 Jun →
office12–12-0.0310%22 Jun →
train11–13-0.0710%22 Jun →
anubis11–13-0.0110%22 Jun →
nuke10–13-0.068%22 Jun →
anubis13–7-0.0213%22 Jun →
overpass16–13-0.0710%22 Jun →
overpass2–13-0.0119%22 Jun →
anubis13–70.029%21 Jun →
ancient13–16-0.036%21 Jun →
nuke13–60.0413%20 Jun →
ancient13–80.0517%20 Jun →
anubis13–11-0.048%20 Jun →
ancient16–14-0.0012%19 Jun →
anubis13–10-0.0113%19 Jun →
ancient12–16-0.0311%19 Jun →
overpass13–110.0225%19 Jun →
anubis14–160.0220%17 Jun →
overpass5–13-0.0414%17 Jun →
nuke13–90.0221%16 Jun →
inferno4–13-0.0314%16 Jun →
inferno10–13-0.0418%15 Jun →
anubis16–130.0410%15 Jun →
overpass5–13-0.0420%15 Jun →
ancient15–15-0.0214%15 Jun →
ancient6–13-0.0313%7 Jun →
nuke13–80.0811%7 Jun →
overpass13–16-0.0111%7 Jun →
overpass13–110.0516%6 Jun →
vertigo13–8-0.0115%27 May →
vertigo13–10-0.0210%26 May →
ancient5–13-0.0618%26 May →
inferno7–13-0.0116%26 May →
inferno16–130.0414%26 May →
nuke13–3-0.0215%26 May →
nuke13–20.0421%25 May →
nuke9–130.0310%23 May →
cache12–120.0532%23 May →
vertigo13–90.0123%23 May →
anubis13–80.0120%21 May →
vertigo13–80.0917%21 May →
nuke6–13-0.0412%17 May →
inferno9–13-0.0314%17 May →
cache6–13-0.0615%8 May →
nuke12–120.0118%8 May →

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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