G0r0

G0r0 — CS2 Stats

76561197995856162[U:1:35590434]Steam profile ↗✓ No bans

1,339Tracked matches34%Win rate2022Tracked since
8,183Hours in CS19Hrs last 2 wks
CSDB Rating3.2 LearningAll-Rounder
Premier CS Rating10,255Blue band · top ~53.5% of ranked players (population est.)
FaceitLevel 4 · 1,242 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (17 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: 10,255 -3,091 16 Jul – 16 Sept · 14 days played
10,25514,596peak 14,59616 Jul16 Sept
14,882Peak Premier in tracked matches
1,242Highest Faceit ELO seen on CSDB
42Days played since 2026-07-16

Faceit ELO

  • At peak — 1,242
  • Next: Level 7 at 1,351 — 109 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 4,341 below peak (14,596)
  • Next: Purple band at 15,000 — 4,745 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches53——
Win rate49%——
K/D0.84——
Headshot %37%——

Measured 4 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.1%42.7%43.8%7.7% short
Shot accuracy10.1%11.3%12.0%2.0% short
Kill/death ratio0.790.991.020.22 short
Match win rate44.6%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGG0r0FACEITLevel 4 · 1,242 ELOSTANDINGTop 81.0% of rankedPREMIER10,255 · Blue bandPEAK ELO1,242csdb.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

Aim33
Positioning42
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY33–61–6Last 10033%Win rateWWWLWTLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +5.8pp headshot accuracy · +16ms reaction

Win rate +10pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim3.3
Utility4.8
Positioning4.2
Opening Duels3.4
Clutch4.0

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

device

Plays most like device 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning4.2
Utility4.8
Mechanics3.1
Opening Duels3.5
Win Impact0.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time603ms−4ms
first ⅓ avg 607ms → last ⅓ avg 603ms
Headshot accuracy14.3%+1.9%
first ⅓ avg 12.4% → last ⅓ avg 14.3%

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

0.08Best match rating · 13–5 · ancient, 27 Jul →
67%Best headshot accuracy · 0–7 · mirage, 15 Sept →
430msFastest reaction time · 5–13 · inferno, 15 Sept →
13–2Biggest win · mirage, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
3–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 56% over 9infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D318–2326%-0.02
mirageB2412–1250%-0.02
infernoD111–109%-0.05
ancientC104–640%0.00
nukeA95–456%-0.01
anubisD81–713%-0.06
cache—32–167%-0.02
train—30–30%-0.01
vertigo—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,244Lifetime kills
0.79K/D
8,336Matches
44.6%Match win rate · Top 50% of Level 4 players
36.1%Headshot %
10.1%Shot accuracy
15,435MVPs
3,856Hours (in match)
10,642Bombs planted
1,415Bombs defused

Most-used weapons

AK-4734,455
MP713,376
AWP12,140
P908,286
Tec-94,588
FAMAS2,320

Lifetime map wins

24,960dust2
11,255inferno
5,649nuke
2,123vertigo
1,812cbble
1,081train
161dust
137lake

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

Faceit stats

Combat

1,634Matches
50%Win rate
0.86Avg K/D
78.5ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage43152%0.9114.2
Anubis22454%0.8713.1
Ancient20649%0.9314.9
Dust217044%0.8413.5
Inferno12550%0.9514.8
Nuke5254%0.8713.8
Vertigo3047%0.9114.6
Overpass1735%0.9513.2

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.

13.7%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.9%Spray accuracy
63.7%Counter-strafing
10.1°Preaim
599msReaction time
37.9%T opening success
49.8%CT opening success
0.62Enemies flashed / flash
5.6%Flash assists
11.01HE damage / grenade
5.87Flashes / 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 13.6886% — below the 15% mark we flag

    Aim Training →
  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 37.8803% — 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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0511%29 Sept →
mirage10–4-0.0219%27 Sept →
dust213–11-0.0314%27 Sept →
dust23–13-0.0511%24 Sept →
mirage13–90.0319%17 Sept →
cache12–12-0.0815%17 Sept →
inferno11–13-0.069%16 Sept →
mirage0–7-0.0567%15 Sept →
inferno5–13-0.1011%15 Sept →
dust26–13-0.107%15 Sept →
cache13–11-0.0219%14 Sept →
inferno6–13-0.0710%14 Sept →
dust22–13-0.035%12 Sept →
inferno8–13-0.0414%9 Sept →
mirage4–13-0.0416%2 Sept →
dust211–130.008%1 Sept →
dust25–130.0110%1 Sept →
dust210–10.0420%1 Sept →
ancient5–13-0.0210%31 Aug →
dust213–5-0.0712%30 Aug →
anubis12–16-0.034%30 Aug →
nuke13–70.037%30 Aug →
train0–13-0.0218%30 Aug →
mirage5–13-0.0713%29 Aug →
dust213–90.0014%29 Aug →
inferno4–9-0.170%27 Aug →
dust213–60.0315%26 Aug →
dust211–13-0.0625%25 Aug →
mirage3–13-0.0313%25 Aug →
dust27–13-0.0419%24 Aug →
ancient10–13-0.0217%23 Aug →
dust23–13-0.0212%19 Aug →
dust213–100.0514%19 Aug →
train6–130.0114%18 Aug →
inferno7–130.0823%18 Aug →
train10–13-0.0215%17 Aug →
ancient13–40.049%17 Aug →
dust25–13-0.0615%15 Aug →
dust29–13-0.0919%15 Aug →
inferno13–70.069%15 Aug →
dust213–50.0617%11 Aug →
ancient9–13-0.008%10 Aug →
inferno6–13-0.0815%10 Aug →
mirage4–13-0.0213%10 Aug →
dust28–13-0.0111%9 Aug →
dust21–13-0.0918%9 Aug →
mirage2–13-0.097%9 Aug →
dust210–130.0314%8 Aug →
mirage13–10-0.0211%8 Aug →
mirage1–13-0.0817%7 Aug →
dust212–120.039%7 Aug →
vertigo6–130.0616%6 Aug →
mirage9–130.0115%6 Aug →
dust25–130.0612%6 Aug →
dust25–13-0.120%6 Aug →
dust26–13-0.0513%5 Aug →
mirage13–50.0419%5 Aug →
mirage8–130.0212%5 Aug →
anubis13–9-0.0510%5 Aug →
inferno9–13-0.0429%5 Aug →
mirage13–90.0317%5 Aug →
dust23–13-0.0610%5 Aug →
nuke7–130.0117%5 Aug →
anubis2–13-0.0911%3 Aug →
nuke6–13-0.080%3 Aug →
ancient13–70.0312%2 Aug →
dust213–90.0120%2 Aug →
mirage8–13-0.0711%2 Aug →
anubis2–13-0.0514%30 Jul →
mirage13–90.046%30 Jul →
ancient15–15-0.014%29 Jul →
mirage11–130.029%28 Jul →
dust215–15-0.029%28 Jul →
dust210–13-0.0110%28 Jul →
nuke9–130.0113%28 Jul →
mirage13–40.069%28 Jul →
ancient6–13-0.0711%28 Jul →
mirage10–13-0.0519%27 Jul →
inferno6–13-0.0415%27 Jul →
ancient13–50.0813%27 Jul →
nuke16–13-0.058%27 Jul →
nuke13–50.0113%27 Jul →
mirage13–5-0.0113%27 Jul →
mirage13–7-0.0520%25 Jul →
anubis14–16-0.0512%25 Jul →
inferno11–13-0.0613%24 Jul →
nuke13–5-0.0412%24 Jul →
nuke7–13-0.0010%23 Jul →
dust212–12-0.0516%23 Jul →
dust211–13-0.0513%23 Jul →
dust212–120.0017%22 Jul →
anubis2–13-0.0913%22 Jul →
anubis3–13-0.096%22 Jul →
mirage13–110.0316%18 Jul →
anubis14–160.0115%18 Jul →
ancient5–13-0.0411%18 Jul →
nuke13–100.0010%16 Jul →
cache13–50.0425%16 Jul →
ancient13–20.0512%16 Jul →
mirage13–7-0.0211%16 Jul →

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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