stizze

stizze — CS2 Stats

NO76561197996258304[U:1:35992576]Steam profile ↗✓ No bans

587Tracked matches40%Win rate2021Tracked since
2,009Hours in CS7Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating19,461Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.6% of ranked players (population est.)
CSDB Leaderboard#89974 of 251281 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 19,461 +1,760 4 Feb – 11 Oct · 35 days played
17,66623,340peak 23,3404 Feb11 Oct
23,340Peak Premier in tracked matches
51Days played since 2026-02-04

Premier CS Rating

  • 3,879 below peak (23,340)
  • Next: Pink band at 20,000 — 539 to go
  • Reached: Pink band · Purple band · 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 Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate42.0%41.3%41.8%meets
Shot accuracy11.6%12.7%12.2%0.6% short
Kill/death ratio0.920.950.980.06 short
Match win rate42.1%42.6%43.3%1.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGstizzeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER19,461 · Purple 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

Aim63
Positioning54
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWWWLLLWLWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.4pp headshot accuracy · −6ms 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 17%
  • Avg reaction 661ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 604ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

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 (+1.2 against its own average).

Aim6.3
Utility6.4
Positioning5.4
Opening Duels3.7

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

ZywOo

Plays most like ZywOo 81% 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. 593ms 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

Aim6.3
Positioning5.4
Utility6.4
Mechanics6.0
Opening Duels3.3
Win Impact1.7

Composite 5.3/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time607ms−55ms
first ⅓ avg 661ms → last ⅓ avg 607ms
Headshot accuracy18.2%+1.0%
first ⅓ avg 17.2% → last ⅓ avg 18.2%

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

0.24Best match rating · 9–3 · nuke, 5 Feb →
44%Best headshot accuracy · 8–1 · cache, 3 May →
422msFastest reaction time · 11–13 · inferno, 1 Jun →
13–3Biggest win · mirage, 28 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 57% over 7ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
infernoC229–1341%-0.01
nukeB2010–1050%0.02
anubisC166–1038%0.02
ancientD92–722%-0.03
cacheA74–357%0.01
dust2—32–167%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,302Lifetime kills
0.92K/D
2,242Matches
42.1%Match win rate
42.0%Headshot % · Top 50% of Level 2 players
11.6%Shot accuracy
4,206MVPs
1,055Hours (in match)
2,716Bombs planted
580Bombs defused

Most-used weapons

Lifetime map wins

4,643nuke
4,081inferno
2,493dust2
734vertigo
539cbble
221train
47lake
40dust

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

Faceit stats

Combat

10Matches
40%Win rate
0.98Avg K/D
—ADR
28%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

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.

18.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.1%Spray accuracy
77.1%Counter-strafing
10.1°Preaim
593msReaction time
40.3%T opening success
46.2%CT opening success
0.60Enemies flashed / flash
5.7%Flash assists
12.81HE damage / grenade
16.74Flashes / match

Recommended for you

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0218%11 Oct →
inferno13–7-0.0111%11 Oct →
cache6–2-0.0329%11 Oct →
nuke8–13-0.0411%11 Oct →
mirage8–130.0114%11 Oct →
dust29–130.0014%9 Oct →
dust213–6-0.033%9 Oct →
inferno9–13-0.0815%9 Oct →
inferno13–8-0.0616%5 Oct →
anubis5–13-0.0121%5 Oct →
nuke5–130.0018%30 Sept →
nuke7–10.0715%30 Sept →
nuke13–50.0518%17 Sept →
mirage15–15-0.0212%13 Sept →
anubis15–150.0321%13 Sept →
mirage11–13-0.038%12 Sept →
mirage13–5-0.0215%12 Sept →
inferno7–130.0020%8 Sept →
cache13–110.0327%8 Sept →
mirage8–13-0.0612%8 Sept →
anubis15–150.0619%7 Sept →
nuke11–13-0.0220%7 Sept →
inferno13–80.0620%7 Sept →
ancient9–13-0.0422%7 Sept →
anubis9–13-0.0238%5 Sept →
inferno11–13-0.0116%5 Sept →
nuke9–130.0125%5 Sept →
mirage15–150.0439%31 Aug →
anubis2–13-0.0713%31 Aug →
cache15–150.0226%19 Aug →
anubis10–130.0212%8 Aug →
nuke13–160.0111%16 Jul →
nuke14–160.0222%21 Jun →
inferno2–13-0.0017%21 Jun →
inferno14–16-0.0524%10 Jun →
anubis6–130.0827%10 Jun →
nuke13–90.0128%7 Jun →
mirage4–13-0.0318%4 Jun →
mirage13–10-0.0024%3 Jun →
inferno11–13-0.0112%1 Jun →
mirage5–130.0513%1 Jun →
mirage13–10-0.0518%31 May →
dust213–11-0.0513%28 May →
ancient6–13-0.0312%28 May →
mirage13–9-0.0617%21 May →
inferno13–6-0.0312%21 May →
inferno6–130.0012%18 May →
cache12–120.0421%18 May →
cache12–12-0.0117%10 May →
mirage7–13-0.0610%10 May →
anubis7–20.0217%10 May →
inferno13–5-0.0429%5 May →
nuke11–13-0.0220%5 May →
cache8–10.0244%3 May →
cache13–60.0218%3 May →
nuke13–4-0.0021%1 May →
mirage13–6-0.0823%27 Apr →
inferno7–13-0.0214%27 Apr →
anubis13–110.0815%19 Apr →
inferno13–11-0.0517%6 Apr →
ancient5–13-0.0513%6 Apr →
anubis4–13-0.0218%6 Apr →
nuke6–13-0.0610%31 Mar →
mirage13–9-0.0010%31 Mar →
nuke16–13-0.0318%30 Mar →
ancient13–7-0.0315%30 Mar →
anubis8–130.0318%29 Mar →
ancient2–13-0.0829%29 Mar →
mirage13–3-0.0417%28 Mar →
inferno13–50.0311%28 Mar →
mirage13–11-0.0514%26 Mar →
nuke13–40.0320%26 Mar →
nuke13–11-0.0018%24 Mar →
mirage13–90.0418%22 Mar →
nuke13–60.0924%22 Mar →
inferno4–9-0.1011%10 Mar →
nuke6–90.0218%10 Mar →
mirage4–13-0.0722%8 Mar →
anubis13–30.0321%8 Mar →
inferno7–13-0.0019%7 Mar →
ancient0–13-0.0923%7 Mar →
mirage13–90.0414%7 Mar →
anubis10–13-0.0212%4 Mar →
nuke13–160.0212%2 Mar →
ancient13–60.0725%2 Mar →
inferno10–13-0.0117%2 Mar →
inferno16–140.0513%1 Mar →
nuke13–11-0.0212%28 Feb →
mirage13–100.0915%28 Feb →
anubis13–80.0313%28 Feb →
anubis13–60.0413%23 Feb →
mirage13–8-0.0413%23 Feb →
inferno15–150.0517%22 Feb →
mirage8–130.0017%22 Feb →
mirage9–13-0.0312%21 Feb →
ancient8–130.0018%7 Feb →
ancient5–13-0.0117%7 Feb →
inferno8–130.0118%7 Feb →
nuke9–30.2422%5 Feb →
inferno13–50.0924%4 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 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.