Bonk

Bonk — CS2 Stats

CC76561198250192178[U:1:289926450]Steam profile ↗1 game ban

1,057Tracked matches45%Win rate2020Tracked since
4,772Hours in CS21Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating19,881Top 50% of 201,122 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#83763 of 247944 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 19,881 -2,985 16 May – 28 Sept · 19 days played
19,67226,209peak 26,20916 May28 Sept
26,209Peak Premier in tracked matches
2,206Highest Faceit ELO seen on CSDB
27Days played since 2026-05-16

Faceit ELO

  • At peak — 2,206
  • Next: 2,500 ELO at 2,500 — 294 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 6,328 below peak (26,209)
  • Next: Pink band at 20,000 — 119 to go
  • Reached: Red band · Pink band · Purple band · 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 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 rate39.9%44.3%46.9%7.0% short
Shot accuracy9.5%11.9%13.0%3.5% short
Kill/death ratio1.251.031.08above
Match win rate47.3%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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.GGBonkPREMIER19,881 · Purple bandPEAK ELO2,206csdb.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

Aim67
Positioning60
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · +38ms 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 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 547ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 558ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 539ms

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 (+1.4 against its own average).

Aim6.7
Utility4.1
Positioning6.0
Opening Duels4.5
Clutch3.8

Limited 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

ZywOo

Plays most like ZywOo 90% 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 →

CSDB Rating breakdown

Aim6.7
Positioning6.0
Utility4.1
Mechanics5.6
Opening Duels5.1
Win Impact3.3

Composite 5.5/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time550ms+14ms
first ⅓ avg 536ms → last ⅓ avg 550ms
Headshot accuracy24.5%+2.9%
first ⅓ avg 21.6% → last ⅓ avg 24.5%

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

0.17Best match rating · 13–10 · ancient, 18 May →
43%Best headshot accuracy · 13–11 · mirage, 7 Jun →
391msFastest reaction time · 7–13 · ancient, 24 May →
13–1Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 61% over 33nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3320–1361%0.03
ancientB2210–1245%0.04
dust2B157–847%0.03
nukeD113–827%0.00
anubisB115–645%0.03
inferno—41–325%0.04
cache—10–10%0.00
train—11–0100%0.06
overpass—10–10%0.12
alpine—10–10%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,381Lifetime kills
1.25K/D · Top 25% of Purple band
6,275Matches
47.3%Match win rate · Top 50% of Purple band
39.9%Headshot %
9.5%Shot accuracy
16,790MVPs
2,453Hours (in match)
5,373Bombs planted
1,763Bombs defused

Most-used weapons

AK-4732,936
AWP24,030
P904,085
SSG 083,397
MP73,110

Lifetime map wins

9,663dust2
3,924inferno
3,343nuke
989vertigo
974train
380cbble
212lake
153safehouse

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

Faceit stats

Combat

217Matches
58%Win rate
1.30Avg K/D
89.1ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8360%1.3618.8
Anubis4450%1.3317.8
Ancient3757%1.2017.6
Dust22458%1.1617.0
Nuke1369%1.3817.9
Inferno757%1.0716.6
Vertigo367%1.8922.0
Overpass367%1.2517.0

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.

23.6%Headshot accuracy
29.5%Accuracy (enemy spotted)
25.9%Spray accuracy
75.3%Counter-strafing
7.8°Preaim
549msReaction time
51.8%T opening success
48.8%CT opening success
0.54Enemies flashed / flash
5.2%Flash assists
9.53HE damage / grenade
3.54Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5373 — below the 4 mark we flag

    Grenade Lineups →
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0627%28 Sept →
ancient13–50.1022%28 Sept →
inferno13–30.0627%27 Sept →
mirage13–60.0017%27 Sept →
cache11–130.0028%27 Sept →
ancient13–10-0.0522%27 Sept →
dust210–00.0038%26 Sept →
anubis8–130.0531%26 Sept →
dust28–130.0020%23 Sept →
dust213–90.1331%20 Sept →
mirage4–130.0322%20 Sept →
dust26–130.0120%12 Sept →
mirage13–10-0.0021%12 Sept →
anubis11–130.0621%2 Aug →
ancient7–130.0218%2 Aug →
nuke13–70.0920%2 Aug →
mirage13–90.0626%2 Aug →
nuke14–16-0.0918%5 Jul →
dust213–80.0727%14 Jun →
train13–70.0624%14 Jun →
ancient13–10.1416%14 Jun →
mirage12–120.0016%13 Jun →
mirage13–100.0232%13 Jun →
mirage6–13-0.0123%13 Jun →
nuke1–100.0221%11 Jun →
ancient7–13-0.0919%11 Jun →
nuke8–130.0121%8 Jun →
mirage6–130.0427%8 Jun →
nuke5–13-0.0324%8 Jun →
mirage10–13-0.0230%7 Jun →
mirage13–110.0143%7 Jun →
mirage13–50.0638%6 Jun →
mirage15–15-0.0017%6 Jun →
mirage2–13-0.1018%4 Jun →
mirage13–100.1515%4 Jun →
dust214–16-0.0126%4 Jun →
ancient5–13-0.0421%1 Jun →
nuke13–7-0.0123%1 Jun →
anubis10–13-0.0124%1 Jun →
ancient13–60.0818%1 Jun →
inferno11–130.0223%31 May →
mirage13–90.0925%31 May →
dust213–50.1537%31 May →
dust210–130.0031%31 May →
dust213–40.0532%31 May →
nuke15–150.0121%31 May →
mirage13–5-0.0226%31 May →
mirage13–10.0335%31 May →
ancient11–130.0724%31 May →
anubis11–130.0613%30 May →
anubis13–110.0617%24 May →
mirage13–60.1123%24 May →
mirage13–40.0215%24 May →
inferno4–130.0823%24 May →
ancient7–13-0.0119%24 May →
anubis5–00.0812%24 May →
ancient7–130.0729%24 May →
ancient9–130.0420%23 May →
dust26–130.0429%23 May →
ancient8–130.0526%23 May →
ancient13–50.1320%23 May →
mirage10–130.0525%23 May →
mirage13–80.0021%23 May →
ancient15–150.0422%23 May →
anubis8–130.0415%23 May →
nuke2–13-0.095%23 May →
mirage10–13-0.0516%23 May →
ancient5–13-0.0123%22 May →
anubis13–10.1118%22 May →
anubis10–13-0.0915%22 May →
anubis13–100.0130%21 May →
mirage6–130.0018%21 May →
ancient15–15-0.0519%20 May →
dust28–13-0.0319%20 May →
dust216–14-0.0413%20 May →
dust213–16-0.0227%20 May →
mirage15–150.0216%20 May →
mirage13–80.0420%20 May →
inferno8–130.0233%19 May →
mirage16–140.0640%19 May →
mirage13–100.0223%19 May →
dust213–100.0429%19 May →
ancient13–100.0227%19 May →
mirage8–13-0.0430%19 May →
ancient13–110.0619%18 May →
mirage13–10.1321%18 May →
mirage13–100.0921%18 May →
overpass8–130.1224%18 May →
dust29–130.0433%18 May →
alpine10–130.0829%18 May →
mirage13–10-0.0122%18 May →
ancient13–100.1713%18 May →
nuke10–13-0.0118%17 May →
ancient13–50.0511%17 May →
ancient13–100.0114%17 May →
ancient9–130.0515%17 May →
nuke13–30.1032%17 May →
mirage8–13-0.0110%16 May →
anubis13–7-0.0010%16 May →
mirage13–30.1320%16 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.