glizzock

glizzock — CS2 Stats

76561198119655123[U:1:159389395]Steam profile ↗✓ No bans

880Tracked matches55%Win rate2020Tracked since
4,174Hours in CS
CSDB Rating6.7 SolidPositional Player
Premier CS Rating26,160Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#12782 of 261506 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 26,160 +3,081 25 Jun – 13 Nov · 35 days played
21,01426,173peak 26,17325 Jun13 Nov
26,173Peak Premier in tracked matches
60Days played since 2026-06-24

Premier CS Rating

  • 13 below peak (26,173)
  • +4,767 over 30 days · improving
  • +2,427 over 90 days
  • Next: Gold band at 30,000 — 3,840 to go
  • Reached: Red band · Pink band · Purple band · 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 Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate44.6%50.9%
Shot accuracy18.2%13.7%
Kill/death ratio1.271.09
Match win rate48.1%48.4%

Share this profile

CSDB.GGglizzockFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,160 · Red bandcsdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLWWLLTWWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.5pp headshot accuracy · +13ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 522ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 492ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 486ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim7.9
Utility5.5
Positioning5.7
Opening Duels1.5
Clutch2.2

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 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

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

CT openings. Opening success drops from 51% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim7.9
Positioning5.7
Utility5.5
Mechanics6.8
Opening Duels3.3
Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time506ms−70ms
first ⅓ avg 576ms → last ⅓ avg 506ms
Headshot accuracy14.4%−1.2%
first ⅓ avg 15.6% → last ⅓ avg 14.4%

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.

Personal bests

0.15Best match rating · 13–2 · dust2, 7 Sept →
33%Best headshot accuracy · 5–13 · nuke, 29 Sept →
391msFastest reaction time · 13–9 · ancient, 2 Nov →
13–0Biggest win · mirage, 11 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.01
dust2B189–950%-0.01
infernoD164–1225%-0.02
anubisS128–467%-0.02
cacheA106–460%0.00
nukeC94–544%-0.01
ancientB63–350%0.00
overpass—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

184,214Lifetime kills
1.27K/D · Top 25% of Level 10 players
8,488Matches
48.1%Match win rate
44.6%Headshot %
18.2%Shot accuracy · Top 25% of Level 10 players
28,859MVPs
4,174Hours (in match)
3,155Bombs planted
2,437Bombs defused

Most-used weapons

AK-4772,833
AWP19,555
Knife5,073
SSG 084,959
MP93,604

Lifetime map wins

9,004inferno
6,597dust2
2,491vertigo
2,182nuke
1,480cbble
622office
563train
302lake

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

Faceit stats

Combat

512Matches
55%Win rate
1.11Avg K/D
82.9ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9961%1.1217.5
Dust24867%1.1815.8
Inferno3732%0.9915.2
Ancient2955%0.9114.7
Anubis2952%1.0115.5
Nuke1867%1.0416.2
Overpass650%1.2519.0
Cache250%0.9817.0

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.

14.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
41.8%Spray accuracy
80.4%Counter-strafing
9.5°Preaim
499msReaction time
50.8%T opening success
35.8%CT opening success
0.68Enemies flashed / flash
11.3%Flash assists
11.11HE damage / grenade
3.99Flashes / 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 14.1113% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9902 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.765% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0513%13 Nov →
dust210–13-0.058%13 Nov →
anubis16–13-0.075%12 Nov →
anubis13–9-0.0318%12 Nov →
mirage10–130.0613%7 Nov →
cache3–13-0.0218%7 Nov →
inferno15–150.0320%6 Nov →
dust213–70.024%5 Nov →
cache13–6-0.0121%5 Nov →
cache13–90.0713%4 Nov →
mirage13–10-0.0216%4 Nov →
anubis13–60.0212%3 Nov →
nuke13–3-0.0721%3 Nov →
dust213–10.1021%3 Nov →
ancient13–110.0316%2 Nov →
ancient13–9-0.0519%2 Nov →
mirage2–130.0724%2 Nov →
mirage11–13-0.047%23 Oct →
nuke2–7-0.0411%22 Oct →
dust213–7-0.0210%20 Oct →
dust213–10.0512%20 Oct →
nuke9–13-0.027%19 Oct →
mirage13–5-0.0312%19 Oct →
nuke16–130.0118%15 Oct →
ancient9–13-0.0610%15 Oct →
inferno2–13-0.105%15 Oct →
dust26–13-0.1010%5 Oct →
dust210–13-0.0717%1 Oct →
nuke5–130.0333%29 Sept →
inferno8–80.0426%28 Sept →
mirage4–13-0.0913%28 Sept →
dust26–13-0.0712%28 Sept →
cache7–13-0.0811%25 Sept →
mirage15–150.0011%25 Sept →
dust211–13-0.0414%24 Sept →
mirage9–3-0.0613%24 Sept →
inferno12–120.0417%24 Sept →
anubis11–13-0.0613%18 Sept →
inferno7–13-0.0113%18 Sept →
nuke13–60.059%16 Sept →
dust213–60.0124%16 Sept →
anubis3–13-0.0315%14 Sept →
inferno3–9-0.029%13 Sept →
ancient12–160.0521%11 Sept →
anubis13–70.0219%11 Sept →
inferno9–5-0.0110%11 Sept →
mirage13–90.0411%10 Sept →
anubis13–30.0213%9 Sept →
dust213–20.1526%7 Sept →
mirage11–13-0.0914%4 Sept →
inferno1–9-0.1320%3 Sept →
nuke13–11-0.0110%1 Sept →
anubis13–11-0.0313%31 Aug →
mirage3–130.0329%27 Aug →
ancient9–13-0.0123%27 Aug →
cache13–110.0619%24 Aug →
inferno11–130.0515%21 Aug →
anubis10–13-0.0413%21 Aug →
inferno13–40.0621%21 Aug →
dust25–13-0.0520%20 Aug →
inferno10–13-0.0215%20 Aug →
nuke6–13-0.038%17 Aug →
mirage13–100.0819%16 Aug →
inferno15–15-0.0510%16 Aug →
nuke8–13-0.007%14 Aug →
anubis13–70.0313%13 Aug →
mirage13–7-0.0110%13 Aug →
mirage13–4-0.0725%12 Aug →
mirage13–00.0214%11 Aug →
cache16–140.0119%6 Aug →
mirage6–13-0.0821%5 Aug →
dust29–13-0.0419%5 Aug →
mirage4–13-0.077%5 Aug →
mirage9–13-0.0913%5 Aug →
mirage13–9-0.0615%4 Aug →
dust23–13-0.0413%4 Aug →
inferno13–8-0.009%2 Aug →
cache11–13-0.0022%2 Aug →
inferno1–9-0.1421%28 Jul →
dust28–13-0.0318%27 Jul →
anubis13–50.009%27 Jul →
inferno13–90.0319%26 Jul →
dust213–70.1224%23 Jul →
anubis6–13-0.0412%23 Jul →
mirage13–30.0931%23 Jul →
cache8–130.0228%16 Jul →
mirage13–6-0.0117%16 Jul →
cache13–10-0.0218%14 Jul →
dust213–11-0.0710%13 Jul →
mirage13–8-0.017%12 Jul →
cache16–120.0217%9 Jul →
mirage9–130.086%7 Jul →
mirage0–5-0.0612%7 Jul →
overpass6–13-0.054%2 Jul →
inferno6–9-0.0910%29 Jun →
mirage9–130.0723%29 Jun →
dust213–50.0419%26 Jun →
overpass13–20.0117%25 Jun →
mirage13–30.0013%25 Jun →
mirage10–13-0.076%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.