ozzy — CS2 Stats

76561197961546959[U:1:1281231]

3,535Tracked matches47%Win rate2021Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Premier CS Rating19,893Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#8004 of 17685 tracked
FaceitLevel 7 · 1,524 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGozzyFACEITLevel 7 · 1,524 ELOSTANDINGTop 42.3% of rankedPREMIER19,893 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning51
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateLLWWWLLWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.6
Aggression5.8
Utility6.3
Positioning5.1
Opening Duels3.5
Clutch3.6

Sharp aimerExcellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

iM

Plays most like iM 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower 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.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 57% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.6
Positioning5.1
Utility6.3
Mechanics8.5
Opening Duels3.5
Win Impact3.9

Composite 6.6/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time598ms−17ms
first ⅓ avg 615ms → last ⅓ avg 598ms
Headshot accuracy17.4%+1.1%
first ⅓ avg 16.3% → last ⅓ avg 17.4%

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.

Highlights

0.24Best rating — vertigo 9–3
130Biggest win — dust2
5Longest win streak
L2Current streak
98In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A30181260%0.00
infernoD1651131%-0.01
ancientB158753%0.01
cacheA148657%0.00
anubisD93633%-0.00
nukeA85363%0.04
mirageC52340%0.00
vertigo21150%0.10
debris110100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

348Matches
54%Win rate
1.05Avg K/D
84.9ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust29254%0.9916.5
Inferno5657%1.1017.0
Ancient4461%1.1819.4
Mirage4149%0.9516.2
Anubis3139%1.1117.6
Nuke2752%1.0416.1
Cache2536%0.8915.9
Overpass1486%1.2617.2

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.

17.3%Headshot accuracy
42.5%Accuracy (enemy spotted)
45.7%Spray accuracy
88.2%Counter-strafing
10.6°Preaim
590msReaction time
31.3%T opening success
56.5%CT opening success
0.57Enemies flashed / flash
5.7%Flash assists
10.80HE damage / grenade
9.46Flashes / 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 31.3279% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0221%28 Aug
inferno12–16-0.0518%28 Aug
dust213–5-0.0420%27 Aug
mirage13–7-0.0117%26 Aug
dust213–11-0.0320%25 Aug
inferno3–13-0.0910%25 Aug
cache10–13-0.0420%25 Aug
nuke13–80.0717%19 Aug
dust211–13-0.0018%19 Aug
vertigo9–30.2419%19 Aug
inferno5–90.0714%19 Aug
dust28–13-0.0315%15 Aug
ancient13–100.0321%15 Aug
anubis9–130.0123%13 Aug
inferno2–13-0.0419%13 Aug
ancient13–60.0313%13 Aug
anubis13–60.0210%13 Aug
ancient13–20.0311%13 Aug
inferno11–130.0520%12 Aug
ancient13–80.0513%12 Aug
inferno13–8-0.0113%11 Aug
dust213–100.0512%11 Aug
ancient13–8-0.019%7 Aug
dust26–130.0028%6 Aug
nuke4–13-0.0130%6 Aug
dust214–16-0.0218%5 Aug
cache5–130.0314%3 Aug
dust213–40.0924%3 Aug
inferno9–13-0.0117%3 Aug
ancient8–13-0.0110%3 Aug
anubis13–100.1318%30 Jul
cache10–130.0023%30 Jul
mirage10–13-0.0022%30 Jul
ancient9–13-0.019%30 Jul
inferno13–110.0217%29 Jul
cache7–13-0.0820%29 Jul
nuke9–50.0621%29 Jul
cache8–13-0.0819%29 Jul
ancient6–13-0.0114%29 Jul
dust213–20.1220%29 Jul
vertigo5–9-0.047%29 Jul
dust213–00.0318%24 Jul
inferno13–10-0.0122%24 Jul
dust28–130.0111%24 Jul
dust20–13-0.020%24 Jul
dust213–70.0319%23 Jul
cache13–110.0631%23 Jul
inferno13–70.0614%23 Jul
nuke13–90.0411%23 Jul
anubis11–13-0.0520%21 Jul
cache13–80.0129%21 Jul
anubis7–13-0.0420%21 Jul
dust213–11-0.0025%21 Jul
inferno9–13-0.0023%20 Jul
dust21–13-0.0629%20 Jul
cache13–110.0413%20 Jul
dust216–130.0414%16 Jul
cache16–14-0.0133%16 Jul
dust210–130.0318%16 Jul
nuke8–80.0211%15 Jul
ancient13–80.0711%14 Jul
cache13–11-0.0224%14 Jul
inferno11–13-0.0422%14 Jul
cache15–15-0.0410%14 Jul
dust213–40.1026%14 Jul
anubis15–150.0226%14 Jul
dust24–13-0.0713%14 Jul
nuke13–30.0212%14 Jul
dust27–130.0017%13 Jul
dust213–8-0.0324%13 Jul
ancient13–60.0111%13 Jul
debris9–60.0918%13 Jul
dust216–140.0112%13 Jul
nuke14–16-0.0216%13 Jul
ancient13–16-0.0314%10 Jul
dust29–13-0.0220%10 Jul
dust213–80.0320%9 Jul
dust213–10-0.0523%9 Jul
cache16–120.0525%9 Jul
cache13–90.0616%7 Jul
mirage13–30.0620%5 Jul
anubis1–7-0.0920%5 Jul
ancient13–90.0316%1 Jul
inferno13–11-0.0315%1 Jul
cache13–100.0719%1 Jul
inferno1–13-0.078%1 Jul
anubis11–13-0.0021%1 Jul
ancient6–13-0.0613%1 Jul
dust213–6-0.0518%1 Jul
dust213–8-0.008%1 Jul
dust210–13-0.0323%29 Jun
inferno5–130.0431%29 Jun
anubis13–5-0.0011%26 Jun
ancient11–130.0214%25 Jun
nuke13–20.119%24 Jun
dust213–9-0.0315%21 Jun
mirage5–13-0.009%20 Jun
dust213–5-0.0021%20 Jun
ancient6–13-0.0511%20 Jun
inferno8–130.016%20 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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