glizzy

glizzy — CS2 Stats

76561198326916535[U:1:366650807]Steam profile ↗✓ No bans

1,802Tracked matches53%Win rate2021Tracked since
CSDB Rating6.2 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,382 → 2,382
+3Tracked matches · now 1,802
−3.3ppWin rate · 56.7% → 53.3%

Rating over time

Premier CS Rating: 26,580 -520 18 Oct – 30 Nov · 7 days played
26,55527,640peak 27,64018 Oct30 Nov
Faceit ELO: 2,382 +0 1 Sept – 22 Sept · 3 observations
2,3822,382peak 2,3821 Sept22 Sept
27,640Peak Premier in tracked matches
2,382Highest Faceit ELO seen on CSDB
53Days played since 2025-09-10

Faceit ELO

  • At peak — 2,382
  • Next: 2,500 ELO at 2,500 — 118 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.

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CSDB.GGglizzyPEAK ELO2,382csdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLWWLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +11.6pp headshot accuracy · −5ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 36%
  • Avg reaction 535ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 31%
  • Avg reaction 537ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 539ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.6
Utility6.8
Positioning5.2
Opening Duels2.7
Clutch4.4

Effective flashes

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

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

Aim7.6
Positioning5.2
Utility6.8
Mechanics7.5
Opening Duels1.3
Win Impact6.1

Composite 6.2/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time548ms−12ms
first ⅓ avg 560ms → last ⅓ avg 548ms
Headshot accuracy23.4%+0.0%
first ⅓ avg 23.3% → last ⅓ avg 23.4%

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

0.19Best match rating · 13–3 · dust2, 18 Feb →
100%Best headshot accuracy · 0–2 · inferno, 26 Sept →
352msFastest reaction time · 4–7 · inferno, 9 Aug →
13–0Biggest win · train, 3 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–13In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 88% over 8nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3112–1939%0.02
infernoS2015–575%0.03
anubisB105–550%0.03
ancientC104–640%-0.00
trainS87–188%0.05
mirageB63–350%0.01
nukeD51–420%-0.03
overpass—42–250%-0.03
cache—33–0100%0.00
vertigo—22–0100%0.05
shelter—11–0100%0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

746Matches
53%Win rate
1.25Avg K/D
83.7ADR
52%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno13654%1.3416.9
Ancient12345%1.1216.4
Anubis11052%1.2017.6
Mirage9143%1.1716.2
Dust27258%1.2417.3
Vertigo4553%1.2416.1
Train3080%1.4615.9
Nuke2966%1.1317.4

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.

20.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
38.0%Spray accuracy
83.9%Counter-strafing
10.1°Preaim
553msReaction time
26.1%T opening success
40.7%CT opening success
0.80Enemies flashed / flash
13.7%Flash assists
10.86HE damage / grenade
5.74Flashes / 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 26.0643% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–2-0.10100%26 Sept →
anubis3–13-0.0224%26 Sept →
cache13–11-0.0915%15 Aug →
inferno13–110.0417%15 Aug →
dust210–13-0.0722%15 Aug →
dust210–13-0.0222%14 Aug →
inferno4–7-0.0247%9 Aug →
shelter13–110.1229%9 Aug →
dust28–13-0.0713%18 Jul →
cache13–80.0621%18 Jul →
ancient12–30.0212%18 Jul →
cache13–40.0438%29 Apr →
inferno13–70.0414%24 Apr →
dust213–100.0322%24 Apr →
anubis13–60.0327%24 Apr →
mirage5–13-0.0219%22 Apr →
dust211–130.0220%13 Mar →
ancient13–10-0.0213%13 Mar →
overpass6–13-0.0011%12 Mar →
inferno13–90.0618%12 Mar →
anubis11–13-0.047%12 Mar →
dust29–13-0.0714%5 Mar →
mirage7–30.0516%25 Feb →
dust213–40.0424%25 Feb →
inferno13–9-0.0311%24 Feb →
dust211–130.0134%18 Feb →
dust213–30.1930%18 Feb →
dust26–13-0.0216%18 Feb →
ancient6–13-0.0037%17 Feb →
inferno13–90.0316%13 Feb →
dust214–160.0224%11 Feb →
inferno13–90.0125%8 Feb →
dust213–100.0214%8 Feb →
anubis13–60.0523%8 Feb →
inferno9–130.0520%4 Feb →
anubis6–13-0.0214%30 Jan →
dust25–13-0.0613%27 Jan →
inferno13–110.0331%21 Jan →
anubis10–13-0.0211%16 Jan →
anubis16–140.0619%16 Jan →
dust211–13-0.0013%11 Jan →
dust213–8-0.0620%11 Jan →
dust22–13-0.0810%11 Jan →
dust213–70.1137%10 Jan →
dust213–80.1840%5 Jan →
dust25–13-0.0428%5 Jan →
train13–00.0915%3 Jan →
dust212–120.0741%1 Jan →
dust27–10.0433%1 Jan →
dust212–120.0720%1 Jan →
dust212–120.0135%1 Jan →
dust213–50.0426%27 Dec →
inferno13–70.0725%27 Dec →
nuke5–13-0.0411%20 Dec →
overpass5–13-0.0913%20 Dec →
dust214–160.0235%30 Nov →
inferno16–140.0719%30 Nov →
train13–50.0617%19 Nov →
nuke12–120.0522%18 Nov →
inferno13–10.1529%14 Nov →
dust213–40.0919%13 Nov →
dust213–90.0118%12 Nov →
inferno13–30.1221%12 Nov →
dust213–90.0127%12 Nov →
overpass13–20.0126%11 Nov →
train7–130.0814%6 Nov →
train13–40.0619%6 Nov →
train13–40.0522%6 Nov →
ancient11–13-0.0125%31 Oct →
inferno5–13-0.0331%29 Oct →
dust211–130.0326%29 Oct →
nuke2–8-0.1233%29 Oct →
ancient4–130.0222%24 Oct →
mirage13–30.0517%23 Oct →
vertigo13–110.0931%23 Oct →
vertigo13–70.0112%23 Oct →
train13–70.0122%23 Oct →
train13–10.0624%23 Oct →
inferno19–16-0.0313%22 Oct →
ancient9–13-0.0336%19 Oct →
nuke13–5-0.0026%19 Oct →
train13–10-0.0418%18 Oct →
overpass13–6-0.0230%18 Oct →
ancient13–90.0319%18 Oct →
mirage10–13-0.0214%18 Oct →
nuke10–13-0.0523%18 Oct →
ancient13–10-0.0124%18 Oct →
mirage13–60.0218%18 Oct →
ancient11–130.0033%18 Oct →
anubis13–50.1633%17 Oct →
anubis2–13-0.0127%16 Oct →
anubis13–70.0730%16 Oct →
dust28–130.0120%10 Oct →
inferno11–130.0119%10 Oct →
inferno16–130.0122%10 Oct →
ancient3–13-0.0319%8 Oct →
mirage8–13-0.0313%1 Oct →
inferno13–40.0516%28 Sept →
dust211–13-0.0434%26 Sept →
inferno13–4-0.0015%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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