ggkezz

ggkezz — CS2 Stats

FI76561198964751240[U:1:1004485512]Steam profile ↗✓ No bans

1,859Tracked matches28%Win rate2020Tracked since
1,260Hours in CS
CSDB Rating2.2 LearningClutch Specialist
Premier CS Rating9,539Light Blue band · top ~57.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (29 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: 9,539 -1,110 25 Aug – 7 Oct · 29 days played
8,63213,605peak 13,60525 Aug7 Oct
13,605Peak Premier in tracked matches
31Days played since 2026-08-25

Premier CS Rating

  • 4,066 below peak (13,605)
  • -2,926 over 30 days · declining
  • Next: Blue band at 10,000 — 461 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate31.1%39.9%42.0%10.8% short
Shot accuracy5.0%7.0%9.6%4.6% short
Kill/death ratio1.020.920.98above
Match win rate37.8%42.3%43.8%6.0% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGggkezzPREMIER9,539 · Light Blue bandcsdb.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

Aim18
Positioning35
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateTWLWLLWWLL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · −8ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 667ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 646ms

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 (+4 against its own average).

Aim1.8
Utility4.5
Positioning3.5
Opening Duels0.0
Clutch8.0

Reliable in 1v1s

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 61% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.8
Positioning3.5
Utility4.5
Mechanics3.8
Opening Duels0.0
Win Impact0.0

Composite 2.2/10 (Learning), 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 rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time677ms+40ms
first ⅓ avg 637ms → last ⅓ avg 677ms
Headshot accuracy12.1%−1.0%
first ⅓ avg 13.1% → last ⅓ avg 12.1%

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 · 13–6 · mirage, 5 Sept →
32%Best headshot accuracy · 3–13 · nuke, 16 Sept →
406msFastest reaction time · 3–13 · nuke, 4 Sept →
13–3Biggest win · anubis, 4 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 47% over 15anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC188–1044%-0.02
mirageC177–1041%-0.01
dust2C167–944%-0.03
ancientB157–847%-0.02
anubisD102–820%-0.02
cacheD103–730%-0.02
infernoC94–544%-0.04
overpass—20–20%-0.07
vertigo—21–150%-0.02
office—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,283Lifetime kills
1.02K/D · Top 50% of Light Blue band
4,647Matches
37.8%Match win rate
31.1%Headshot %
5.0%Shot accuracy
8,397MVPs
1,260Hours (in match)
5,744Bombs planted
875Bombs defused

Most-used weapons

AK-4715,431
Negev4,399
AWP3,056
MP92,667
P902,227
MAC-102,077

Lifetime map wins

5,231nuke
4,512inferno
1,954train
1,682dust2
1,344vertigo
641cbble
640office
411lake

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

Faceit stats

Combat

13Matches
62%Win rate
1.12Avg K/D
80.1ADR
31%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.9515.3
Ancient2100%1.5215.0
Anubis1100%0.7710.0

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.

11.7%Headshot accuracy
24.0%Accuracy (enemy spotted)
27.7%Spray accuracy
66.9%Counter-strafing
11.3°Preaim
677msReaction time
26.6%T opening success
27.6%CT opening success
0.52Enemies flashed / flash
4.8%Flash assists
5.37HE damage / grenade
9.41Flashes / 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 11.6696% — 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 26.5758% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass8–8-0.075%10 Oct →
vertigo9–50.0220%10 Oct →
inferno7–9-0.1219%10 Oct →
nuke13–10-0.0110%7 Oct →
overpass7–13-0.0614%7 Oct →
dust28–13-0.078%4 Oct →
anubis13–3-0.044%4 Oct →
inferno13–10-0.097%4 Oct →
anubis4–130.0215%4 Oct →
inferno5–13-0.1118%1 Oct →
ancient6–13-0.0918%30 Sept →
dust24–13-0.069%30 Sept →
mirage5–130.0616%30 Sept →
vertigo12–12-0.0526%29 Sept →
ancient5–13-0.0911%29 Sept →
nuke5–13-0.066%28 Sept →
ancient5–130.0120%28 Sept →
anubis3–13-0.0420%28 Sept →
cache11–13-0.0111%27 Sept →
nuke16–14-0.045%27 Sept →
mirage6–13-0.026%27 Sept →
dust21–13-0.074%27 Sept →
ancient9–13-0.0418%27 Sept →
dust22–13-0.0616%26 Sept →
mirage13–8-0.0815%26 Sept →
inferno5–13-0.076%26 Sept →
ancient2–11-0.0413%26 Sept →
dust216–120.0315%26 Sept →
mirage13–70.009%25 Sept →
inferno7–13-0.037%25 Sept →
dust210–13-0.0818%25 Sept →
dust210–13-0.075%25 Sept →
dust213–100.028%25 Sept →
ancient13–7-0.075%25 Sept →
dust26–13-0.0516%24 Sept →
anubis9–13-0.053%24 Sept →
nuke15–150.0513%24 Sept →
cache15–15-0.0114%23 Sept →
anubis14–160.025%23 Sept →
dust213–100.042%23 Sept →
cache6–13-0.0617%23 Sept →
mirage3–13-0.0919%21 Sept →
nuke8–13-0.0815%21 Sept →
inferno13–90.0429%21 Sept →
ancient13–10-0.0010%21 Sept →
dust216–140.0214%21 Sept →
inferno13–100.0110%20 Sept →
ancient4–13-0.0314%20 Sept →
anubis11–13-0.0118%19 Sept →
ancient13–80.0212%19 Sept →
inferno13–5-0.0611%19 Sept →
mirage9–13-0.047%19 Sept →
anubis12–12-0.0621%18 Sept →
anubis3–13-0.023%16 Sept →
nuke10–13-0.0915%16 Sept →
nuke3–13-0.0032%16 Sept →
anubis5–130.0114%16 Sept →
ancient10–13-0.0432%14 Sept →
mirage13–70.0612%13 Sept →
nuke13–7-0.029%13 Sept →
nuke2–13-0.0220%12 Sept →
mirage9–13-0.0212%12 Sept →
ancient13–110.0010%12 Sept →
nuke11–130.0214%12 Sept →
ancient16–13-0.018%12 Sept →
nuke1–13-0.0811%11 Sept →
cache13–10-0.0120%10 Sept →
ancient13–40.0110%9 Sept →
dust213–50.0222%9 Sept →
mirage7–13-0.0413%9 Sept →
cache5–13-0.016%7 Sept →
mirage13–90.0318%7 Sept →
nuke9–130.0316%7 Sept →
ancient13–11-0.0413%7 Sept →
inferno5–130.0517%6 Sept →
nuke13–10-0.046%6 Sept →
mirage9–13-0.069%5 Sept →
mirage13–60.088%5 Sept →
cache11–130.0112%5 Sept →
dust213–9-0.0011%5 Sept →
mirage13–10-0.0310%5 Sept →
office5–13-0.0211%4 Sept →
nuke3–13-0.0210%4 Sept →
dust25–13-0.0819%3 Sept →
dust28–13-0.079%3 Sept →
nuke13–10-0.062%3 Sept →
nuke13–11-0.0213%3 Sept →
cache16–12-0.088%3 Sept →
mirage9–13-0.0214%3 Sept →
nuke13–60.009%3 Sept →
dust213–10-0.0417%2 Sept →
cache13–11-0.0010%2 Sept →
mirage1–13-0.0414%2 Sept →
ancient13–160.0719%2 Sept →
cache11–13-0.0418%2 Sept →
anubis13–9-0.0515%2 Sept →
cache8–130.0314%2 Sept →
mirage13–110.0323%26 Aug →
nuke13–80.0113%26 Aug →
mirage8–13-0.0521%25 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.