zonnicsonni

zonnicsonni — CS2 Stats

IL76561198112007364[U:1:151741636]Steam profile ↗✓ No bans

777Tracked matches57%Win rate2020Tracked since
1,874Hours in CS1Hrs last 2 wks
CSDB Rating3.6 LearningSupport
FaceitLevel 4 · 1,245 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches16——
Win rate75%——
K/D0.73——
Headshot %56%——

Measured 9 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.7%42.7%43.7%3.0% short
Shot accuracy15.6%11.3%12.0%above
Kill/death ratio0.920.991.020.10 short
Match win rate40.1%43.9%44.7%4.6% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGzonnicsonniFACEITLevel 4 · 1,245 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning42
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWWWWLLWLWL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · +52ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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 (+1.4 against its own average).

Aim3.8
Utility4.7
Positioning4.2
Opening Duels1.5
Clutch2.8

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

ZywOo

Plays most like ZywOo 74% 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

Areas to improve

Reaction time. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.8
Positioning4.2
Utility4.7
Mechanics3.3
Opening Duels1.1
Win Impact7.4

Composite 3.6/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time571ms+8ms
first ⅓ avg 562ms → last ⅓ avg 571ms
Headshot accuracy16.5%+1.6%
first ⅓ avg 14.9% → last ⅓ avg 16.5%

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

0.18Best match rating · 4–0 · vertigo, 8 Sept →
30%Best headshot accuracy · 13–11 · boulder, 8 Sept →
359msFastest reaction time · 12–12 · cache, 7 Aug →
13–1Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
8–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 77% over 13anubisWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.01
infernoB168–850%-0.02
anubisC156–940%-0.04
mirageA138–562%-0.05
cacheS1310–377%-0.03
vertigoC73–443%-0.02
ancientA74–357%-0.02
dust2A53–260%-0.04
overpass—20–20%-0.09
boulder—22–0100%-0.03
poseidon—10–10%-0.18
train—10–10%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,443Lifetime kills
0.92K/D
2,690Matches
40.1%Match win rate
40.7%Headshot %
15.6%Shot accuracy · Top 25% of Level 4 players
6,343MVPs
1,083Hours (in match)
2,655Bombs planted
655Bombs defused

Most-used weapons

AK-4712,804
AWP5,318
FAMAS1,270
P901,211
Knife860

Lifetime map wins

4,798nuke
2,972inferno
2,658vertigo
912dust2
538train
395office
135cbble
97lake

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

Faceit stats

Combat

161Matches
53%Win rate
0.80Avg K/D
68.7ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3456%0.8311.0
Nuke3253%0.8913.9
Anubis2045%0.7011.9
Ancient1547%0.7912.3
Mirage1547%0.6811.8
Dust21443%0.8114.4
Overpass944%0.649.2
Train7100%1.0914.9

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.

16.5%Headshot accuracy
27.6%Accuracy (enemy spotted)
32.9%Spray accuracy
64.9%Counter-strafing
11.8°Preaim
563msReaction time
27.1%T opening success
38.4%CT opening success
0.45Enemies flashed / flash
9.2%Flash assists
10.57HE damage / grenade
6.36Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4454 — below the 0.5 mark we flag

    Grenade Lineups →
  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 27.0979% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–1-0.0229%25 Sept →
mirage9–2-0.060%25 Sept →
vertigo13–8-0.0314%22 Sept →
dust213–10-0.0720%22 Sept →
poseidon1–9-0.1817%18 Sept →
nuke2–6-0.0614%18 Sept →
dust213–70.0117%17 Sept →
overpass9–13-0.0814%15 Sept →
cache13–8-0.0521%15 Sept →
inferno8–13-0.0125%15 Sept →
boulder13–11-0.0830%8 Sept →
vertigo4–00.1827%8 Sept →
inferno9–13-0.0219%8 Sept →
nuke6–13-0.0315%8 Sept →
mirage11–13-0.0620%8 Sept →
nuke13–90.0514%8 Sept →
mirage12–12-0.0619%8 Sept →
anubis13–11-0.0916%7 Sept →
dust212–12-0.0619%7 Sept →
inferno13–10-0.0119%7 Sept →
vertigo9–13-0.0423%5 Sept →
inferno8–13-0.029%5 Sept →
nuke13–4-0.0211%5 Sept →
train3–130.0218%5 Sept →
cache3–13-0.0313%5 Sept →
mirage13–4-0.0211%5 Sept →
cache13–8-0.0512%5 Sept →
inferno13–60.0116%4 Sept →
inferno6–13-0.0211%4 Sept →
nuke13–6-0.048%4 Sept →
anubis7–13-0.0112%4 Sept →
anubis13–9-0.0816%4 Sept →
inferno13–3-0.0419%3 Sept →
ancient3–13-0.0714%3 Sept →
dust213–9-0.088%3 Sept →
cache13–5-0.0315%3 Sept →
inferno11–13-0.0618%3 Sept →
nuke14–160.0316%3 Sept →
anubis5–13-0.068%2 Sept →
ancient13–110.0315%2 Sept →
nuke9–13-0.0820%30 Aug →
anubis7–13-0.0227%30 Aug →
cache3–13-0.0718%30 Aug →
overpass6–13-0.0913%28 Aug →
nuke13–90.0413%28 Aug →
inferno13–50.0814%28 Aug →
cache13–8-0.0111%28 Aug →
mirage8–13-0.0222%28 Aug →
vertigo13–7-0.0711%27 Aug →
vertigo11–13-0.108%27 Aug →
inferno2–13-0.089%27 Aug →
ancient13–10-0.0113%27 Aug →
anubis5–13-0.075%27 Aug →
nuke11–13-0.0010%27 Aug →
cache13–11-0.0221%26 Aug →
inferno12–12-0.0611%26 Aug →
vertigo7–13-0.0414%26 Aug →
vertigo5–13-0.0615%25 Aug →
boulder13–30.0221%25 Aug →
inferno13–5-0.0415%25 Aug →
nuke13–1-0.036%25 Aug →
cache13–5-0.0519%16 Aug →
anubis16–13-0.0210%16 Aug →
nuke13–50.0114%16 Aug →
dust28–13-0.0129%16 Aug →
inferno13–90.0116%14 Aug →
mirage13–11-0.0416%14 Aug →
anubis11–13-0.0214%13 Aug →
mirage22–18-0.088%13 Aug →
anubis9–13-0.049%13 Aug →
anubis13–10-0.034%13 Aug →
cache13–10-0.0212%10 Aug →
nuke13–10.0616%10 Aug →
cache13–110.0315%10 Aug →
anubis11–13-0.0116%10 Aug →
nuke12–160.0212%10 Aug →
mirage6–13-0.0619%10 Aug →
mirage13–100.0011%9 Aug →
mirage13–6-0.0823%8 Aug →
anubis13–5-0.019%8 Aug →
ancient13–50.029%8 Aug →
inferno13–60.1026%8 Aug →
ancient3–13-0.0424%8 Aug →
nuke13–4-0.0011%8 Aug →
mirage11–13-0.0421%8 Aug →
cache12–12-0.030%7 Aug →
nuke20–22-0.0213%6 Aug →
anubis4–13-0.0321%4 Aug →
ancient13–10-0.0129%4 Aug →
nuke11–13-0.0623%4 Aug →
nuke9–13-0.0613%3 Aug →
inferno5–13-0.1220%3 Aug →
anubis13–110.0012%3 Aug →
cache13–110.0115%1 Aug →
nuke13–8-0.0014%1 Aug →
cache13–9-0.015%26 Jul →
anubis9–13-0.0611%23 Jul →
ancient5–13-0.0517%22 Jul →
mirage13–7-0.0520%22 Jul →
mirage13–5-0.0222%18 Jul →

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 →

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