Ogzd

Ogzd — CS2 Stats

US76561198353516937[U:1:393251209]Steam profile ↗✓ No bans

2,216Tracked matches40%Win rate2020Tracked since
12,018Hours in CS70Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 7 · 1,333 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGOgzdFACEITLevel 7 · 1,333 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY40591Last 10040%Win rateLWWLLWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4
Aggression5.2
Utility6.0
Positioning5.2
Opening Duels2.5
Clutch3.6

Strong 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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim 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

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim7.4
Positioning5.2
Utility6.0
Mechanics6.2
Opening Duels2.6
Win Impact1.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time550ms−83ms
first ⅓ avg 633ms → last ⅓ avg 550ms
Headshot accuracy19.7%−3.0%
first ⅓ avg 22.7% → last ⅓ avg 19.7%

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

0.18Best rating — mirage 4–13
132Biggest win — ancient
3Longest win streak
68In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 47% over 32ancientWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB32151747%0.01
dust2C2391439%-0.02
ancientC1761135%-0.00
infernoB157847%0.01
anubis3030%-0.01
nuke3030%-0.02
cache2020%-0.02
overpass220100%0.06
vertigo1010%-0.02
train1010%0.08
cbble110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,863Lifetime kills
0.92K/D
8,354Matches
35.2%Match win rate
48.1%Headshot % · Top 50% of tracked players
12.0%Shot accuracy
18,524MVPs
7,527Hours (in match)
5,134Bombs planted
1,833Bombs defused

Most-used weapons

AK-4748,030
AWP21,685
Knife4,862
P2502,579
SG 5532,124
SSG 081,966

Lifetime map wins

10,787inferno
10,050dust2
3,669train
2,256nuke
2,213cbble
2,201vertigo
100lake
77office

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

Faceit stats

Combat

2,197Matches
49%Win rate
1.04Avg K/D
76.8ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage35150%1.0615.8
Dust219149%1.0114.8
Inferno15649%1.1717.0
Ancient15545%1.1516.2
Overpass6740%1.0214.6
Nuke6442%0.8914.0
Anubis3043%0.9715.8
Train1958%1.4217.6

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.

19.7%Headshot accuracy
38.1%Accuracy (enemy spotted)
37.8%Spray accuracy
78.0%Counter-strafing
11.6°Preaim
553msReaction time
29.8%T opening success
50.5%CT opening success
0.52Enemies flashed / flash
8.8%Flash assists
11.27HE damage / grenade
11.68Flashes / 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 29.8075% — below the 40% mark we flag

Spend your practice time on Ancient

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0624%28 Aug
mirage13–9-0.0112%26 Aug
ancient13–100.0825%26 Aug
ancient8–13-0.0419%26 Aug
mirage9–130.0115%26 Aug
inferno13–9-0.046%25 Aug
mirage13–60.0417%25 Aug
inferno13–60.0316%21 Aug
mirage14–160.0815%21 Aug
ancient13–100.0117%19 Aug
ancient13–40.049%13 Aug
anubis10–13-0.0614%12 Aug
mirage13–40.0222%12 Aug
dust29–130.0521%12 Aug
dust25–13-0.0528%12 Aug
mirage9–13-0.1033%11 Aug
mirage11–13-0.0119%11 Aug
vertigo9–13-0.0218%7 Aug
ancient4–13-0.0320%7 Aug
ancient9–130.0330%5 Aug
cache8–13-0.0226%5 Aug
ancient6–13-0.0437%29 Jul
dust213–90.0215%29 Jul
ancient8–13-0.0121%29 Jul
inferno13–11-0.0020%27 Jul
ancient13–20.0420%27 Jul
mirage16–140.0221%26 Jul
inferno10–130.0315%26 Jul
mirage3–13-0.0218%26 Jul
dust211–13-0.0320%25 Jul
ancient7–13-0.0522%21 Jul
mirage13–160.0420%20 Jul
dust213–100.0512%20 Jul
ancient13–70.0432%20 Jul
mirage7–13-0.0623%20 Jul
dust213–70.0313%20 Jul
ancient13–90.0518%19 Jul
mirage13–160.0220%18 Jul
dust25–13-0.086%11 Jul
mirage13–90.1229%11 Jul
mirage11–13-0.0333%11 Jul
anubis9–130.0331%6 Jul
ancient9–13-0.0321%5 Jul
mirage13–7-0.0027%5 Jul
nuke9–130.0142%4 Jul
mirage13–70.0229%4 Jul
mirage13–80.0717%4 Jul
train9–130.0837%4 Jul
mirage19–17-0.0313%29 Jun
inferno9–13-0.0232%29 Jun
mirage9–130.0123%15 Jun
inferno9–13-0.0215%14 Jun
inferno13–90.0126%14 Jun
dust26–13-0.0522%12 Jun
overpass13–80.0928%8 Jun
dust213–70.0320%4 Jun
overpass13–90.0318%27 May
mirage16–19-0.0225%27 May
inferno16–120.0334%27 May
anubis11–13-0.0117%27 May
dust211–13-0.0223%26 May
inferno10–130.0422%26 May
mirage4–130.1840%25 May
inferno13–90.1424%25 May
dust24–13-0.0415%25 May
inferno10–13-0.0622%25 May
ancient7–13-0.0718%25 May
mirage16–120.0418%23 May
mirage4–13-0.0622%21 May
dust23–13-0.0647%18 May
dust213–80.0420%18 May
inferno10–130.0423%18 May
ancient16–19-0.0623%14 May
mirage1–13-0.075%14 May
mirage6–13-0.0617%13 May
dust213–9-0.0119%12 May
dust213–80.0216%10 May
mirage13–110.0223%8 May
dust26–13-0.0423%2 May
cache13–16-0.0218%1 May
mirage19–160.0816%1 May
dust26–13-0.0131%30 Apr
mirage13–100.0536%30 Apr
dust217–19-0.028%30 Apr
dust29–13-0.1029%29 Apr
inferno5–9-0.0817%26 Apr
ancient12–120.0526%26 Apr
cbble13–20.0160%25 Apr
dust213–11-0.0721%20 Apr
ancient7–13-0.0518%19 Apr
mirage1–13-0.0519%16 Apr
mirage13–100.0325%16 Apr
inferno22–200.0117%14 Apr
dust27–13-0.0129%10 Apr
inferno2–130.0226%10 Apr
nuke5–13-0.0326%9 Apr
mirage13–70.0422%9 Apr
mirage8–13-0.0824%5 Apr
nuke8–13-0.0415%3 Apr
dust216–120.0410%2 Apr

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 →