Bonk

Bonk — CS2 Stats

76561199625884282[U:1:1665618554]Steam profile ↗✓ No bans

340Tracked matches60%Win rate2026Tracked since
215Hours in CS
CSDB Rating6.3 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 340
−8.0ppWin rate · 68.0% → 60.0%

Rating over time

Premier CS Rating: 21,924 +1,815 3 May – 29 Aug · 5 days played
20,10921,924peak 21,9243 May29 Aug
21,924Peak Premier in tracked matches
33Days played since 2026-05-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim76
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

COLD65–20–15Last 10065%Win rateLLLTWLWTLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −0.3pp headshot accuracy · +76ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 557ms

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 (+1.6 against its own average).

Aim7.6
Utility4.4
Positioning5.5
Opening Duels3.9
Clutch1.8

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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.

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

Aim7.6
Positioning5.5
Utility4.4
Mechanics6.4
Opening Duels4.2
Win Impact8.3

Composite 6.3/10 (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 rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time548ms−62ms
first ⅓ avg 610ms → last ⅓ avg 548ms
Headshot accuracy20.5%−1.8%
first ⅓ avg 22.3% → last ⅓ avg 20.5%

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

0.15Best match rating · 13–4 · mirage, 5 May →
53%Best headshot accuracy · 9–2 · nuke, 7 May →
367msFastest reaction time · 13–7 · dust2, 12 May →
13–2Biggest win · mirage, 31 May →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L3Current streak
7–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 70% over 56infernoWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S5639–1770%0.04
mirageS2013–765%0.03
infernoB105–550%0.02
nuke—42–250%-0.00
cache—42–250%0.04
overpass—22–0100%0.07
train—21–150%0.09
anubis—10–10%-0.05
ancient—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,139Lifetime kills
1.13K/D · Top 50% of tracked players
517Matches
55.7%Match win rate · Top 5% of tracked players
56.4%Headshot % · Top 10% of tracked players
0.0%Shot accuracy
3,036MVPs
215Hours (in match)
478Bombs planted
150Bombs defused

Most-used weapons

Lifetime map wins

2,522dust2
908inferno
344nuke
46train
14vertigo

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

Faceit stats

Combat

5Matches
40%Win rate
0.95Avg K/D
79.8ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
12%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.8518.7
Mirage10%1.1317.0
Dust21100%1.0424.0

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.

20.3%Headshot accuracy
32.9%Accuracy (enemy spotted)
33.9%Spray accuracy
78.7%Counter-strafing
7.7°Preaim
544msReaction time
49.4%T opening success
44.5%CT opening success
0.62Enemies flashed / flash
4.8%Flash assists
4.01HE damage / grenade
7.75Flashes / match

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0225%8 Oct →
dust21–13-0.1013%8 Oct →
dust21–13-0.0417%7 Oct →
mirage15–15-0.0120%3 Oct →
dust213–8-0.0221%15 Sept →
dust25–130.0128%10 Sept →
dust213–6-0.0113%6 Sept →
dust212–12-0.0127%6 Sept →
dust28–13-0.0123%30 Aug →
dust213–6-0.0020%29 Aug →
inferno2–13-0.0521%29 Aug →
dust28–130.0113%24 Jun →
nuke11–13-0.0321%2 Jun →
dust212–120.0326%2 Jun →
dust213–70.0417%1 Jun →
mirage9–130.0519%1 Jun →
dust213–30.0736%1 Jun →
dust211–13-0.0225%31 May →
mirage13–20.1312%31 May →
dust213–110.0218%30 May →
dust213–60.1524%30 May →
dust213–70.0413%28 May →
dust213–70.0727%28 May →
mirage12–12-0.086%28 May →
nuke13–20.0522%26 May →
dust213–110.0821%23 May →
inferno12–12-0.0322%22 May →
mirage13–90.0217%22 May →
mirage13–4-0.0420%21 May →
dust213–110.0421%21 May →
dust213–100.0637%21 May →
dust29–130.0915%21 May →
mirage13–4-0.0015%19 May →
dust212–120.1221%19 May →
dust213–40.0826%19 May →
dust213–2-0.0130%17 May →
cache12–120.0322%16 May →
mirage12–12-0.0142%16 May →
mirage13–110.0528%16 May →
overpass13–90.0819%16 May →
mirage13–80.0616%15 May →
inferno13–50.0420%15 May →
dust213–20.1236%15 May →
train13–110.0937%15 May →
dust213–50.0518%15 May →
dust213–70.0738%15 May →
overpass13–90.0622%13 May →
dust28–10.0930%13 May →
dust213–80.0219%13 May →
inferno11–130.0131%13 May →
dust213–60.0424%13 May →
dust22–130.016%12 May →
dust213–70.0233%12 May →
dust213–6-0.0218%12 May →
dust213–50.0320%11 May →
anubis2–13-0.059%11 May →
dust213–60.0623%11 May →
mirage13–5-0.0318%11 May →
dust212–12-0.0413%10 May →
cache12–12-0.0312%9 May →
dust25–130.0120%9 May →
dust213–11-0.0125%9 May →
dust213–40.0418%9 May →
mirage13–50.0227%9 May →
dust213–70.0221%9 May →
train6–110.0927%9 May →
dust213–70.1225%8 May →
inferno12–120.0124%7 May →
cache13–40.1440%7 May →
nuke9–2-0.0153%7 May →
dust213–50.0929%7 May →
dust213–30.0623%7 May →
dust213–60.0524%7 May →
inferno13–80.0023%7 May →
cache13–100.0218%6 May →
ancient13–60.1116%6 May →
dust213–30.0720%6 May →
dust213–110.0122%5 May →
dust213–70.1019%5 May →
mirage6–13-0.0513%5 May →
mirage13–40.1522%5 May →
inferno13–40.108%5 May →
inferno13–60.0126%5 May →
mirage13–80.0517%5 May →
dust212–120.0117%5 May →
mirage13–40.0021%5 May →
dust213–40.0419%5 May →
mirage13–70.0619%4 May →
inferno12–12-0.0219%4 May →
dust213–3-0.0411%4 May →
mirage4–13-0.0321%4 May →
dust213–6-0.0416%4 May →
mirage5–130.028%4 May →
dust212–120.0724%3 May →
dust213–40.0625%3 May →
dust212–120.0739%3 May →
dust210–130.0219%3 May →
dust213–50.0932%3 May →
inferno13–60.1124%3 May →
mirage13–50.1526%3 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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