bonk

bonk — CS2 Stats

76561199168156541[U:1:1207890813]Steam profile ↗✓ No bans

1,729Tracked matches43%Win rate2023Tracked since
2,545Hours in CS79Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating20,490Top 50% of 204,412 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#74012 of 251575 tracked
FaceitLevel 8 · 1,432 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 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: 20,490 -6,308 27 Aug – 12 Oct · 28 days played
20,49026,798peak 26,79827 Aug12 Oct
Faceit ELO: 1,432 +0 30 Aug – 17 Sept · 6 observations
1,4321,432peak 1,43230 Aug17 Sept
26,798Peak Premier in tracked matches
1,432Highest Faceit ELO seen on CSDB
42Days played since 2026-08-26

Faceit ELO

  • At peak — 1,432
  • Next: Level 8 at 1,531 — 99 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-30
  • Level 6 first seen 2026-08-30

Premier CS Rating

  • 6,308 below peak (26,798)
  • -3,305 over 30 days · declining
  • Next: Red band at 25,000 — 4,510 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches149——
Win rate52%——
K/D2.36——
Headshot %73%——

Measured 14 Sep 2026 → 14 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 8 among CSDB-tracked players (n=15,030), 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 8 medianLevel 9 medianvs Level 9
Headshot rate70.3%46.8%48.2%above
Shot accuracy0.1%13.0%13.3%13.1% short
Kill/death ratio1.861.061.07above
Match win rate45.2%46.3%46.9%1.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbonkFACEITLevel 8 · 1,432 ELOSTANDINGTop 31.2% of rankedPREMIER20,490 · Pink bandPEAK ELO1,432csdb.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

Aim78
Positioning66
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLWWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +0.1pp headshot accuracy · +21ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 540ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 554ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 543ms

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 (+1.2 against its own average).

Aim7.8
Utility6.3
Positioning6.6
Opening Duels5.5
Clutch3.2

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 50% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning6.6
Utility6.3
Mechanics5.8
Opening Duels7.3
Win Impact2.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time546ms+19ms
first ⅓ avg 527ms → last ⅓ avg 546ms
Headshot accuracy23.4%−1.9%
first ⅓ avg 25.3% → last ⅓ avg 23.4%

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

0.28Best match rating · 6–2 · rush_001, 6 Oct →
67%Best headshot accuracy · 8–0 · office, 31 Aug →
391msFastest reaction time · 13–6 · ancient, 6 Oct →
13–1Biggest win · overpass, 27 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

trainBest map · 80% over 5dust2Weakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA1610–663%0.02
anubisS1511–473%0.04
nukeD144–1029%0.01
mirageD123–925%-0.01
dust2D80–80%-0.00
cacheB63–350%0.01
trainS54–180%0.03
officeC52–340%0.03
infernoA53–260%-0.00
rush_001C52–340%0.12
overpass—43–175%-0.01
vertigo—32–167%0.03
boulder—10–10%0.01
italy—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,560Lifetime kills
1.86K/D · Top 5% of Level 8 players
2,447Matches
45.2%Match win rate
70.3%Headshot % · Top 5% of Level 8 players
0.1%Shot accuracy
6,067MVPs
2,978Hours (in match)
2,053Bombs planted
1,245Bombs defused

Most-used weapons

Lifetime map wins

3,186dust2
2,669nuke
1,690inferno
1,019train
407vertigo
146office
42italy
13cbble

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

Faceit stats

Combat

394Matches
51%Win rate
1.08Avg K/D
82.2ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient9856%1.0916.6
Mirage9449%1.1116.7
Anubis6757%0.9915.2
Dust26144%1.1716.9
Nuke3845%0.9914.4
Inferno1547%1.1521.9
Overpass944%1.0019.1
Train540%1.0915.4

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.

22.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.6%Spray accuracy
76.2%Counter-strafing
9.9°Preaim
536msReaction time
68.2%T opening success
50.4%CT opening success
0.67Enemies flashed / flash
11.3%Flash assists
6.44HE damage / grenade
10.15Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–160.0523%13 Oct →
nuke13–7-0.0017%13 Oct →
mirage8–13-0.0422%12 Oct →
train13–70.0427%12 Oct →
office13–50.0342%12 Oct →
nuke6–13-0.0518%11 Oct →
anubis13–90.0729%10 Oct →
nuke10–130.0721%9 Oct →
anubis13–20.0315%9 Oct →
dust28–130.0030%9 Oct →
nuke16–140.0320%8 Oct →
inferno6–13-0.0121%8 Oct →
rush_0016–20.2815%6 Oct →
ancient13–60.0517%6 Oct →
rush_0012–6-0.0563%6 Oct →
anubis13–70.0518%5 Oct →
boulder7–130.0123%5 Oct →
vertigo9–130.0326%5 Oct →
nuke11–130.0123%4 Oct →
overpass13–100.0418%4 Oct →
rush_0016–80.1417%4 Oct →
rush_0014–00.2241%4 Oct →
rush_0010–40.0115%4 Oct →
mirage4–130.0338%2 Oct →
dust29–130.0020%2 Oct →
ancient10–130.0320%1 Oct →
nuke10–13-0.0718%1 Oct →
ancient13–16-0.0016%30 Sept →
dust29–130.0722%29 Sept →
nuke13–90.1031%28 Sept →
ancient13–50.0816%27 Sept →
office5–13-0.0121%27 Sept →
overpass13–1-0.0311%27 Sept →
anubis13–110.0827%27 Sept →
nuke10–130.0328%26 Sept →
ancient13–70.1030%26 Sept →
cache13–70.0222%26 Sept →
ancient13–7-0.018%26 Sept →
dust211–130.0232%26 Sept →
ancient13–50.0626%26 Sept →
ancient13–80.0417%25 Sept →
train13–80.0318%24 Sept →
dust28–13-0.0028%24 Sept →
ancient7–13-0.0518%24 Sept →
ancient8–130.0125%23 Sept →
overpass9–13-0.0531%22 Sept →
anubis13–70.0811%22 Sept →
anubis13–100.0114%21 Sept →
anubis13–7-0.0112%20 Sept →
italy13–10-0.0421%20 Sept →
inferno9–6-0.0327%19 Sept →
nuke16–140.1022%19 Sept →
anubis14–160.0324%18 Sept →
nuke9–13-0.0126%17 Sept →
ancient13–8-0.057%17 Sept →
office7–13-0.0223%14 Sept →
mirage7–130.0332%14 Sept →
ancient15–150.0211%13 Sept →
anubis16–130.0324%13 Sept →
inferno9–30.0016%13 Sept →
cache7–13-0.0317%13 Sept →
inferno13–50.0816%13 Sept →
dust210–13-0.0137%12 Sept →
anubis13–30.0112%12 Sept →
nuke7–13-0.0520%12 Sept →
anubis8–130.0316%11 Sept →
mirage13–80.0115%11 Sept →
mirage10–13-0.0043%11 Sept →
ancient13–80.0321%11 Sept →
nuke11–130.0129%9 Sept →
mirage11–13-0.0616%8 Sept →
vertigo13–100.0635%6 Sept →
anubis8–130.0312%6 Sept →
cache6–13-0.0019%6 Sept →
office5–13-0.0343%6 Sept →
cache9–13-0.0122%5 Sept →
anubis13–160.0518%5 Sept →
mirage12–12-0.0516%4 Sept →
dust23–13-0.079%4 Sept →
mirage4–13-0.0132%4 Sept →
anubis13–40.0531%4 Sept →
mirage13–11-0.0113%4 Sept →
ancient13–80.0717%4 Sept →
mirage10–130.0119%2 Sept →
ancient5–130.0217%1 Sept →
train13–100.0334%31 Aug →
office8–00.1867%31 Aug →
vertigo13–6-0.0160%31 Aug →
ancient13–8-0.0114%31 Aug →
mirage13–11-0.0123%30 Aug →
nuke9–13-0.0623%29 Aug →
train9–130.0327%29 Aug →
dust25–13-0.0317%28 Aug →
inferno4–13-0.0414%27 Aug →
nuke10–13-0.0128%27 Aug →
anubis13–50.0111%27 Aug →
train13–40.0425%26 Aug →
overpass13–10.0131%26 Aug →
cache13–60.0731%26 Aug →
cache7–10.0222%26 Aug →

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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