Zonk

Zonk — CS2 Stats

76561199102055043[U:1:1141789315]Steam profile ↗✓ No bans

172Tracked matches24%Win rate2024Tracked since
143Hours in CS9Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+25Tracked matches · now 172
−5.9ppWin rate · 30.0% → 24.1%

Rating over time

43Days played since 2026-07-18

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3057−27
Win rate23%18%+6pp
K/D0.730.59+0.13
Headshot %59%61%−2pp

Measured 24 Sep 2026 → 25 Oct 2026; previous 28 Aug 2026 → 24 Sep 2026.

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.

Performance scores

Aim61
Positioning38
Utility30

0–100 skill scores via Leetify.

Recent form

COLD35–62–3Last 10035%Win rateLLLWTLLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −6.2pp headshot accuracy · −62ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 694ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 673ms

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 (+1.5 against its own average).

Aim6.1
Utility3.0
Positioning3.8
Opening Duels0.0

Strong CT-side openerLimited 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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim6.1
Positioning3.8
Utility3.0
Mechanics6.8
Opening Duels1.5
Win Impact0.0

Composite 4.2/10 (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-0.02+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time675ms+14ms
first ⅓ avg 661ms → last ⅓ avg 675ms
Headshot accuracy22.4%−0.6%
first ⅓ avg 23.0% → last ⅓ avg 22.4%

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

0.10Best match rating · 13–4 · dust2, 20 Sept →
50%Best headshot accuracy · 0–13 · dust2, 19 Sept →
367msFastest reaction time · 0–13 · dust2, 19 Sept →
13–0Biggest win · anubis, 26 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–6In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 57% over 7ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D236–1726%-0.02
infernoB178–947%-0.03
mirageC156–940%-0.03
nukeB147–750%-0.02
ancientD101–910%-0.03
anubisA74–357%-0.03
vertigoD62–433%-0.04
cacheD61–517%-0.05
train—20–20%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

3,052Lifetime kills
0.79K/D
243Matches
31.3%Match win rate
58.3%Headshot % · Top 10% of tracked players
3.2%Shot accuracy
328MVPs
76Hours (in match)
244Bombs planted
41Bombs defused

Most-used weapons

Lifetime map wins

439dust2
284inferno
275nuke
112vertigo
27train
14office
7cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.8%Headshot accuracy
29.9%Accuracy (enemy spotted)
31.1%Spray accuracy
80.4%Counter-strafing
8.6°Preaim
657msReaction time
23.0%T opening success
42.1%CT opening success
0.43Enemies flashed / flash
0.6%Flash assists
4.90HE damage / grenade
3.22Flashes / 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 0.4282 — 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 22.963% — below the 40% mark we flag

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0212%19 Oct →
mirage7–13-0.0418%19 Oct →
nuke8–130.0825%17 Oct →
inferno13–11-0.0323%17 Oct →
mirage12–12-0.0420%17 Oct →
ancient10–130.0020%15 Oct →
dust29–13-0.0319%15 Oct →
inferno13–2-0.0421%15 Oct →
inferno8–13-0.0723%14 Oct →
vertigo10–13-0.0120%14 Oct →
train5–13-0.0325%8 Oct →
inferno4–130.0319%6 Oct →
mirage4–13-0.0527%5 Oct →
dust29–6-0.0141%5 Oct →
nuke8–13-0.0617%3 Oct →
mirage9–13-0.0328%29 Sept →
inferno2–11-0.1022%29 Sept →
vertigo6–13-0.0622%28 Sept →
dust213–80.0523%28 Sept →
ancient3–13-0.1038%28 Sept →
inferno3–4-0.0233%26 Sept →
dust24–13-0.1020%26 Sept →
nuke8–00.0535%25 Sept →
inferno13–1-0.0320%25 Sept →
cache5–13-0.0016%25 Sept →
ancient9–130.018%24 Sept →
nuke13–3-0.0112%24 Sept →
nuke3–4-0.0331%23 Sept →
inferno7–130.0131%22 Sept →
anubis4–13-0.0114%22 Sept →
mirage4–13-0.1125%22 Sept →
dust213–40.1016%20 Sept →
mirage7–13-0.0616%19 Sept →
dust20–13-0.0550%19 Sept →
nuke10–13-0.0713%18 Sept →
ancient8–13-0.0818%18 Sept →
dust25–13-0.0329%17 Sept →
dust26–130.0232%17 Sept →
ancient6–13-0.0023%17 Sept →
ancient2–00.000%17 Sept →
inferno13–60.0130%17 Sept →
mirage8–13-0.0526%16 Sept →
vertigo13–7-0.0118%16 Sept →
inferno13–11-0.0016%16 Sept →
anubis1–13-0.0729%16 Sept →
dust25–13-0.0321%14 Sept →
vertigo13–110.0124%13 Sept →
mirage13–110.0226%12 Sept →
dust23–13-0.0428%12 Sept →
nuke13–80.0121%12 Sept →
mirage6–13-0.0619%11 Sept →
nuke4–13-0.0515%11 Sept →
ancient10–13-0.0017%11 Sept →
inferno3–13-0.1011%11 Sept →
dust24–13-0.076%11 Sept →
dust212–12-0.0325%10 Sept →
dust26–130.0139%4 Sept →
ancient5–13-0.0547%4 Sept →
train9–13-0.0917%3 Sept →
dust213–5-0.0120%3 Sept →
dust26–13-0.0621%2 Sept →
inferno3–13-0.0824%28 Aug →
dust211–13-0.0732%28 Aug →
cache7–13-0.0717%27 Aug →
inferno13–11-0.0017%22 Aug →
dust211–13-0.0621%21 Aug →
anubis13–80.0138%21 Aug →
anubis8–13-0.0711%21 Aug →
nuke13–4-0.0237%16 Aug →
nuke13–50.015%16 Aug →
mirage13–8-0.0223%15 Aug →
ancient11–13-0.0517%14 Aug →
mirage13–9-0.0619%29 Jul →
inferno7–13-0.0210%28 Jul →
vertigo1–13-0.1218%28 Jul →
cache8–13-0.1120%27 Jul →
cache8–13-0.0510%26 Jul →
dust213–50.0127%26 Jul →
anubis13–0-0.0511%26 Jul →
ancient6–13-0.0429%26 Jul →
nuke12–12-0.0318%24 Jul →
dust21–12-0.0420%24 Jul →
dust211–13-0.0029%24 Jul →
cache3–13-0.0719%24 Jul →
nuke13–6-0.0425%24 Jul →
inferno13–4-0.0437%24 Jul →
mirage13–8-0.0126%23 Jul →
anubis13–6-0.0130%23 Jul →
dust29–13-0.0517%19 Jul →
vertigo10–13-0.0325%19 Jul →
mirage13–8-0.0543%19 Jul →
nuke13–9-0.0019%19 Jul →
inferno8–13-0.0231%19 Jul →
dust28–13-0.1032%19 Jul →
cache13–11-0.0119%18 Jul →
inferno13–2-0.0420%18 Jul →
dust213–40.0333%18 Jul →
nuke1–13-0.088%18 Jul →
mirage13–30.0748%18 Jul →
anubis13–5-0.0223%18 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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