ogezoos

ogezoos — CS2 Stats

IQ76561198244638594[U:1:284372866]Steam profile ↗✓ No bans

475Tracked matches41%Win rate2021Tracked since
CSDB Rating4.5 DevelopingClutch Specialist
Premier CS Rating17,000Purple band · top ~20.4% of ranked players (population est.)
FaceitLevel 5 · 1,148 ELOTop 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 17,000 -8,286 11 Feb – 14 Nov · 31 days played
15,05625,286peak 25,28611 Feb14 Nov
Faceit ELO: 1,148 +0 13 Sept – 21 Sept · 2 observations
1,1481,148peak 1,14813 Sept21 Sept
25,525Peak Premier in tracked matches
1,148Highest Faceit ELO seen on CSDB
41Days played since 2026-02-10

Faceit ELO

  • At peak — 1,148
  • Next: Level 6 at 1,201 — 53 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-13
  • Level 4 first seen 2026-09-13

Premier CS Rating

  • 8,286 below peak (25,286)
  • +1,464 over 30 days · improving
  • Next: Pink band at 20,000 — 3,000 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGogezoosFACEITLevel 5 · 1,148 ELOSTANDINGTop 67.6% of rankedPREMIER17,000 · Purple bandPEAK ELO1,148csdb.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

Aim68
Positioning43
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLLLLWLWWWW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −1.4pp headshot accuracy · −24ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 578ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 530ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 542ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim6.8
Utility3.0
Positioning4.3
Opening Duels0.5
Clutch4.8

Limited 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

iM

Plays most like iM 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 570ms 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

Aim6.8
Positioning4.3
Utility3.0
Mechanics5.8
Opening Duels0.7
Win Impact2.1

Composite 4.5/10 (Developing), 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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time563ms−64ms
first ⅓ avg 627ms → last ⅓ avg 563ms
Headshot accuracy9.8%−2.4%
first ⅓ avg 12.2% → last ⅓ avg 9.8%

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

0.10Best match rating · 9–4 · inferno, 4 Jul →
50%Best headshot accuracy · 2–13 · mirage, 13 Jul →
422msFastest reaction time · 13–4 · nuke, 29 Oct →
13–1Biggest win · anubis, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
10–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 70% over 10nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%-0.04
mirageC2710–1737%-0.03
anubisS107–370%-0.01
ancientS107–370%-0.01
cacheC83–538%-0.06
nukeD72–529%-0.01
infernoD62–433%-0.03
overpass—40–40%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

139Matches
57%Win rate
1.05Avg K/D
75.5ADR
32%Headshot %

Clutches & streaks

44%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3847%1.1014.2
Dust22264%1.3115.4
Inferno1867%0.9913.7
Ancient650%0.9214.0
Train540%0.9014.0
Anubis560%0.8410.8
Overpass450%0.8317.3
Nuke475%1.7820.0

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.

9.9%Headshot accuracy
37.9%Accuracy (enemy spotted)
39.2%Spray accuracy
76.2%Counter-strafing
8.9°Preaim
570msReaction time
31.5%T opening success
34.2%CT opening success
0.41Enemies flashed / flash
7.6%Flash assists
7.63HE damage / grenade
4.20Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.9111% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4106 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.5343% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.048%14 Nov →
mirage10–13-0.0111%14 Nov →
cache2–13-0.1110%13 Nov →
cache1–13-0.123%13 Nov →
dust213–11-0.060%13 Nov →
mirage9–13-0.0711%29 Oct →
nuke13–4-0.0113%29 Oct →
anubis13–7-0.0117%28 Oct →
ancient13–11-0.025%28 Oct →
dust213–40.0110%28 Oct →
anubis8–130.0212%23 Oct →
mirage7–13-0.0715%23 Oct →
anubis13–60.047%17 Oct →
dust211–13-0.0511%16 Oct →
ancient13–90.0712%16 Oct →
inferno12–160.025%11 Oct →
dust215–15-0.007%11 Oct →
ancient13–70.0110%10 Oct →
anubis13–10.049%10 Oct →
dust213–60.0014%10 Oct →
inferno5–13-0.1112%10 Oct →
dust210–13-0.037%28 Jul →
nuke11–13-0.047%28 Jul →
mirage11–13-0.008%28 Jul →
dust26–13-0.1213%21 Jul →
cache13–10-0.029%20 Jul →
mirage6–13-0.0518%20 Jul →
cache16–14-0.018%18 Jul →
cache14–16-0.0420%17 Jul →
mirage5–13-0.084%17 Jul →
ancient16–12-0.027%16 Jul →
mirage13–60.083%16 Jul →
dust213–10-0.0914%16 Jul →
nuke11–130.0513%16 Jul →
dust211–13-0.029%15 Jul →
nuke13–8-0.048%15 Jul →
dust216–140.017%15 Jul →
cache11–13-0.038%14 Jul →
nuke8–13-0.0219%14 Jul →
anubis13–110.0011%14 Jul →
mirage2–13-0.0650%13 Jul →
mirage13–7-0.0212%13 Jul →
dust28–13-0.046%13 Jul →
anubis13–4-0.024%13 Jul →
mirage3–13-0.035%11 Jul →
dust213–6-0.0019%11 Jul →
dust211–13-0.0214%11 Jul →
dust23–8-0.128%11 Jul →
mirage13–11-0.0214%8 Jul →
inferno9–40.107%4 Jul →
dust26–13-0.0315%4 Jul →
mirage15–15-0.076%4 Jul →
dust213–11-0.0212%3 Jul →
anubis13–5-0.0613%3 Jul →
mirage13–10.019%3 Jul →
mirage16–14-0.0216%3 Jul →
ancient0–13-0.0721%1 Jul →
mirage9–13-0.0412%1 Jul →
mirage10–13-0.0317%23 Jun →
mirage13–3-0.027%23 Jun →
mirage13–20.0525%23 Jun →
dust213–8-0.064%23 Jun →
inferno16–14-0.0510%23 Jun →
ancient13–160.037%20 Jun →
ancient13–20.004%20 Jun →
dust22–5-0.1320%20 Jun →
mirage3–13-0.037%14 Jun →
inferno8–13-0.073%14 Jun →
anubis9–13-0.033%14 Jun →
mirage4–13-0.099%10 Jun →
inferno11–13-0.079%10 Jun →
dust23–13-0.0511%9 Jun →
overpass15–15-0.045%9 Jun →
dust213–7-0.0318%9 Jun →
ancient13–11-0.126%9 Jun →
ancient13–40.0717%8 Jun →
mirage11–13-0.0423%8 Jun →
dust28–13-0.0526%7 Jun →
ancient5–13-0.059%7 Jun →
dust213–10-0.035%25 May →
cache7–13-0.058%25 May →
dust26–13-0.0515%14 May →
anubis13–7-0.019%14 May →
cache13–8-0.082%14 May →
mirage13–9-0.0416%27 Apr →
mirage13–8-0.0610%26 Apr →
dust25–13-0.1225%26 Apr →
overpass15–15-0.0214%18 Apr →
mirage8–13-0.0623%17 Apr →
mirage11–13-0.036%17 Apr →
dust28–13-0.0912%4 Apr →
dust213–9-0.0615%14 Mar →
mirage4–13-0.048%14 Mar →
dust29–130.0521%2 Mar →
overpass8–13-0.028%2 Mar →
overpass11–13-0.025%11 Feb →
nuke12–16-0.0316%11 Feb →
mirage13–50.007%11 Feb →
dust29–13-0.0526%11 Feb →
anubis7–13-0.1014%10 Feb →

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.