Chonky

Chonky — CS2 Stats

NZ76561198188235094[U:1:227969366]Steam profile ↗✓ No bans

5,192Tracked matches43%Win rate2020Tracked since
7,324Hours in CS7Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating17,061Purple band · top ~20.2% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (7 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: 17,061 +286 30 Aug – 26 Oct · 30 days played
14,07819,338peak 19,33830 Aug26 Oct
19,338Peak Premier in tracked matches
28Days played since 2026-08-30

Premier CS Rating

  • 2,277 below peak (19,338)
  • +2,061 over 30 days · improving
  • Next: Pink band at 20,000 — 2,939 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.2%44.4%46.9%8.8% short
Shot accuracy8.8%11.9%13.0%4.2% short
Kill/death ratio0.761.031.080.32 short
Match win rate41.8%45.2%46.7%4.8% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGChonkyPREMIER17,061 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning36
Utility59

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLLLLWLLLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +7.1pp headshot accuracy · −10ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 586ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

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 (+2.6 against its own average).

Aim4.2
Utility5.9
Positioning3.6
Opening Duels0.0
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

NiKo

Plays most like NiKo 65% 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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.2
Positioning3.6
Utility5.9
Mechanics3.6
Opening Duels0.0
Win Impact2.8

Composite 3.7/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time632ms+39ms
first ⅓ avg 594ms → last ⅓ avg 632ms
Headshot accuracy19.8%+5.7%
first ⅓ avg 14.1% → last ⅓ avg 19.8%

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

0.13Best match rating · 13–1 · nuke, 28 Sept →
44%Best headshot accuracy · 0–13 · ancient, 18 Oct →
391msFastest reaction time · 13–9 · anubis, 27 Sept →
13–1Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientC2610–1638%-0.02
dust2C166–1038%-0.04
infernoA159–660%-0.03
anubisA116–555%-0.01
mirageC114–736%-0.03
cacheA117–464%-0.02
nukeS64–267%-0.00
train—20–20%-0.10
vertigo—10–10%-0.06
office—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,381Lifetime kills
0.76K/D
7,318Matches
41.8%Match win rate
38.2%Headshot %
8.8%Shot accuracy
10,910MVPs
3,044Hours (in match)
7,398Bombs planted
1,240Bombs defused

Most-used weapons

AWP24,029
AK-4719,426
SSG 085,768
MP92,672
MP72,284

Lifetime map wins

18,130dust2
9,649inferno
5,661nuke
3,199vertigo
1,109train
184office
55safehouse
49lake

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

Faceit stats

Combat

71Matches
42%Win rate
0.66Avg K/D
70.7ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage838%1.2112.0
Inferno450%0.8815.3
Cache450%0.7411.0
Nuke250%0.8213.0
Vertigo1100%2.2916.0
Ancient10%0.6210.0
Dust210%0.7213.0
Anubis1100%0.6710.0

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.

19.0%Headshot accuracy
28.5%Accuracy (enemy spotted)
28.6%Spray accuracy
66.3%Counter-strafing
9.6°Preaim
624msReaction time
24.9%T opening success
26.4%CT opening success
0.61Enemies flashed / flash
5.2%Flash assists
9.44HE damage / grenade
12.03Flashes / 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 24.9027% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.0534%26 Oct →
dust24–13-0.0227%25 Oct →
dust28–13-0.0623%21 Oct →
dust25–13-0.0323%21 Oct →
anubis11–130.0225%19 Oct →
ancient13–6-0.0219%19 Oct →
ancient0–13-0.0544%18 Oct →
inferno10–13-0.0412%18 Oct →
dust24–13-0.0520%18 Oct →
nuke6–13-0.0921%17 Oct →
inferno3–13-0.1018%16 Oct →
inferno13–7-0.0115%16 Oct →
mirage9–13-0.0716%15 Oct →
ancient11–13-0.0915%15 Oct →
cache13–8-0.0414%15 Oct →
cache6–13-0.0319%15 Oct →
ancient5–13-0.0122%15 Oct →
cache13–70.0217%14 Oct →
ancient13–2-0.0020%11 Oct →
inferno13–70.0123%11 Oct →
dust213–80.0510%11 Oct →
dust213–90.0320%11 Oct →
ancient5–13-0.0410%10 Oct →
train7–13-0.1013%10 Oct →
inferno13–9-0.0119%9 Oct →
inferno13–80.0118%9 Oct →
anubis11–13-0.0618%8 Oct →
ancient10–13-0.0224%8 Oct →
inferno13–7-0.0313%6 Oct →
cache13–11-0.1013%6 Oct →
cache6–3-0.0233%6 Oct →
dust216–12-0.0220%6 Oct →
anubis13–5-0.0014%6 Oct →
inferno16–14-0.0719%6 Oct →
dust25–13-0.088%5 Oct →
mirage16–13-0.0011%4 Oct →
ancient16–13-0.0510%4 Oct →
ancient13–11-0.018%4 Oct →
ancient16–14-0.0211%4 Oct →
inferno13–7-0.049%4 Oct →
ancient11–130.0314%4 Oct →
dust24–13-0.0619%4 Oct →
mirage13–60.028%3 Oct →
inferno9–130.0618%2 Oct →
mirage13–2-0.026%2 Oct →
mirage10–13-0.034%2 Oct →
nuke14–16-0.0117%2 Oct →
ancient1–13-0.058%2 Oct →
ancient9–13-0.0616%2 Oct →
inferno13–6-0.0412%2 Oct →
mirage13–3-0.0921%2 Oct →
ancient4–13-0.094%2 Oct →
anubis13–20.0816%2 Oct →
dust213–10-0.0321%1 Oct →
dust213–11-0.0411%1 Oct →
nuke13–40.0018%1 Oct →
ancient7–13-0.0515%1 Oct →
anubis13–10-0.0219%1 Oct →
ancient10–13-0.0317%1 Oct →
cache7–13-0.0213%1 Oct →
cache14–160.0818%30 Sept →
ancient13–110.0313%30 Sept →
anubis15–15-0.056%29 Sept →
inferno6–13-0.0611%29 Sept →
nuke13–10.1326%28 Sept →
ancient13–80.0410%28 Sept →
inferno13–6-0.0027%28 Sept →
train5–13-0.1022%28 Sept →
ancient16–140.0420%28 Sept →
anubis13–9-0.0111%27 Sept →
mirage4–13-0.0110%27 Sept →
cache10–13-0.0212%27 Sept →
dust211–13-0.0314%27 Sept →
ancient8–13-0.098%26 Sept →
ancient3–13-0.0818%26 Sept →
ancient13–110.0115%26 Sept →
inferno12–12-0.0610%26 Sept →
mirage9–13-0.0313%26 Sept →
inferno10–13-0.0010%25 Sept →
dust29–13-0.0815%25 Sept →
cache13–9-0.018%25 Sept →
mirage9–13-0.0318%25 Sept →
anubis13–80.0218%24 Sept →
dust27–13-0.0719%24 Sept →
ancient6–13-0.0517%24 Sept →
vertigo2–13-0.066%24 Sept →
dust25–13-0.126%24 Sept →
mirage6–13-0.094%24 Sept →
ancient13–110.017%24 Sept →
dust213–8-0.0923%24 Sept →
ancient11–13-0.018%24 Sept →
ancient6–130.0213%24 Sept →
mirage11–130.0223%23 Sept →
office7–13-0.0923%23 Sept →
anubis5–13-0.0511%23 Sept →
anubis10–13-0.0713%23 Sept →
nuke13–11-0.0322%23 Sept →
nuke13–9-0.0120%23 Sept →
cache16–120.0122%23 Sept →
cache16–14-0.065%22 Sept →

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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