Sziszaaa

Sziszaaa — CS2 Stats

HU76561199656850182[U:1:1696584454]Steam profile ↗✓ No bans

1,312Tracked matches60%Win rate2024Tracked since
2,192Hours in CS45Hrs last 2 wks
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating14,031Blue band · top ~33.5% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 14,031 -3,123 26 Aug – 1 Nov · 25 days played
12,31818,293peak 18,29326 Aug1 Nov
18,293Peak Premier in tracked matches
36Days played since 2026-08-26

Premier CS Rating

  • 4,262 below peak (18,293)
  • +1,476 over 30 days · improving
  • Next: Purple band at 15,000 — 969 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate47.2%44.8%45.7%above
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio0.821.031.050.23 short
Match win rate45.9%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSziszaaaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,031 · 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

Aim58
Positioning50
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLWLWWLWL

Last 10 vs previous 10: 0pp win rate · −0.07 avg rating · +5.7pp headshot accuracy · −14ms reaction

Win rate 0pp 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 -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 619ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 626ms

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.

Aim5.8
Utility4.8
Positioning5.0
Opening Duels3.5
Clutch3.8

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

m0NESY

Plays most like m0NESY 86% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 632ms 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

Aim5.8
Positioning5.0
Utility4.8
Mechanics4.7
Opening Duels5.8
Win Impact8.3

Composite 5.3/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time630ms+27ms
first ⅓ avg 603ms → last ⅓ avg 630ms
Headshot accuracy19.3%+2.0%
first ⅓ avg 17.3% → last ⅓ avg 19.3%

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

0.16Best match rating · 9–2 · inferno, 23 Oct →
63%Best headshot accuracy · 7–13 · mirage, 16 Sept →
422msFastest reaction time · 13–10 · mirage, 3 Sept →
13–0Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–16In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC3314–1942%-0.02
infernoS2517–868%0.00
dust2B105–550%-0.03
ancientB105–550%-0.01
nukeD103–730%-0.01
anubisS75–271%-0.02
cache—41–325%-0.05
overpass—11–0100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,471Lifetime kills
0.82K/D
2,518Matches
45.9%Match win rate · Top 50% of Level 6 players
47.2%Headshot % · Top 50% of Level 6 players
0.0%Shot accuracy
5,753MVPs
5,152Hours (in match)
1,490Bombs planted
738Bombs defused

Most-used weapons

AK-4721,299
AWP3,842
FAMAS1,613
MP91,270
Knife1,203

Lifetime map wins

5,018inferno
3,631dust2
1,637nuke
566office
456vertigo
235train
13italy

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

Faceit stats

Combat

1,290Matches
49%Win rate
0.91Avg K/D
74.7ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage53051%0.9414.2
Inferno21148%0.8613.6
Dust218343%0.8914.9
Ancient16452%0.9215.0
Anubis10455%0.9014.3
Nuke5645%0.8814.4
Train1547%0.7014.3
Vertigo1155%0.9515.2

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.

18.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
40.0%Spray accuracy
71.2%Counter-strafing
10.8°Preaim
632msReaction time
60.2%T opening success
46.5%CT opening success
0.53Enemies flashed / flash
4.9%Flash assists
6.42HE damage / grenade
7.72Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0421%1 Nov →
inferno13–20.0524%1 Nov →
inferno11–13-0.0320%1 Nov →
cache13–4-0.0533%1 Nov →
mirage2–13-0.0917%1 Nov →
mirage13–6-0.1013%31 Oct →
anubis13–7-0.0121%31 Oct →
inferno1–9-0.1628%31 Oct →
inferno13–5-0.0428%31 Oct →
cache8–13-0.0722%31 Oct →
anubis10–13-0.029%31 Oct →
ancient6–13-0.0226%25 Oct →
inferno13–30.010%24 Oct →
dust214–16-0.0623%24 Oct →
inferno9–20.1616%23 Oct →
inferno9–40.0317%23 Oct →
ancient16–140.0716%23 Oct →
inferno9–6-0.0819%21 Oct →
inferno13–6-0.0416%21 Oct →
inferno8–80.0929%21 Oct →
inferno8–80.0213%20 Oct →
mirage13–80.0517%19 Oct →
inferno9–20.0313%15 Oct →
inferno9–30.057%14 Oct →
inferno9–60.0621%14 Oct →
nuke7–90.0015%14 Oct →
nuke3–9-0.0538%14 Oct →
inferno7–9-0.0020%14 Oct →
nuke2–9-0.0820%14 Oct →
mirage13–8-0.0426%13 Oct →
anubis11–13-0.0411%13 Oct →
mirage13–50.0617%11 Oct →
dust213–40.0923%8 Oct →
dust213–160.0122%8 Oct →
nuke5–9-0.1131%8 Oct →
nuke9–50.1237%7 Oct →
inferno9–40.0323%7 Oct →
inferno9–7-0.0526%1 Oct →
mirage11–13-0.0511%29 Sept →
anubis13–8-0.0113%27 Sept →
mirage13–70.008%27 Sept →
mirage13–60.0713%23 Sept →
mirage4–13-0.0017%23 Sept →
mirage13–40.0514%21 Sept →
mirage7–13-0.009%20 Sept →
mirage13–10-0.0522%20 Sept →
mirage11–130.0424%17 Sept →
mirage7–13-0.0263%16 Sept →
anubis13–10-0.0121%16 Sept →
nuke5–13-0.098%16 Sept →
mirage6–13-0.0730%16 Sept →
inferno13–00.000%16 Sept →
cache8–13-0.0813%16 Sept →
dust213–11-0.0411%16 Sept →
cache5–130.0131%14 Sept →
mirage5–130.0419%14 Sept →
ancient16–130.009%14 Sept →
mirage4–13-0.0317%14 Sept →
ancient13–50.0322%13 Sept →
ancient14–16-0.0112%13 Sept →
dust213–10-0.0413%11 Sept →
dust21–13-0.0924%11 Sept →
ancient11–13-0.0520%10 Sept →
mirage9–13-0.0818%10 Sept →
dust213–5-0.0031%10 Sept →
nuke9–70.0217%10 Sept →
mirage9–13-0.0732%10 Sept →
anubis13–70.0315%9 Sept →
mirage11–130.0222%9 Sept →
mirage13–6-0.0035%9 Sept →
ancient11–13-0.0613%8 Sept →
anubis13–11-0.0513%8 Sept →
mirage11–13-0.026%8 Sept →
ancient5–13-0.0530%7 Sept →
mirage10–130.0017%7 Sept →
mirage13–100.0120%3 Sept →
dust25–13-0.0922%3 Sept →
inferno13–9-0.0115%3 Sept →
ancient13–60.0116%3 Sept →
mirage8–13-0.008%2 Sept →
ancient13–5-0.0111%2 Sept →
overpass9–50.0417%2 Sept →
mirage14–16-0.0417%2 Sept →
inferno8–80.0420%2 Sept →
dust214–16-0.0616%2 Sept →
mirage13–11-0.0616%2 Sept →
inferno7–90.0334%1 Sept →
inferno9–70.0219%1 Sept →
inferno5–9-0.1224%1 Sept →
mirage10–130.0714%1 Sept →
inferno13–4-0.0130%31 Aug →
mirage11–13-0.0515%29 Aug →
nuke2–120.0211%29 Aug →
mirage13–11-0.0613%27 Aug →
mirage13–4-0.0610%27 Aug →
inferno13–40.0320%27 Aug →
mirage13–8-0.0023%27 Aug →
nuke9–13-0.0515%27 Aug →
nuke9–40.165%26 Aug →
mirage8–13-0.0510%26 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 →

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