bongcat9

bongcat9 — CS2 Stats

76561198983617821[U:1:1023352093]Steam profile ↗✓ No bans

1,181Tracked matches48%Win rate2020Tracked since
4,798Hours in CS
CSDB Rating5.7 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,518 -1,216 8 Nov – 30 Jun · 21 days played
18,51824,999peak 24,9998 Nov30 Jun
24,999Peak Premier in tracked matches
35Days played since 2025-11-08

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 Level 10 among CSDB-tracked players (n=29,846), 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 10 median
Headshot rate61.8%50.9%
Shot accuracy18.5%13.7%
Kill/death ratio1.151.09
Match win rate49.3%48.4%

Share this profile

CSDB.GGbongcat9FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLWLWWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −2.8pp headshot accuracy · +27ms 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 20%
  • Avg reaction 566ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 603ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 590ms

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 against its own average).

Aim6.6
Utility6.6
Positioning5.6
Opening Duels4.5
Clutch1.6

Effective flashes

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim6.6
Positioning5.6
Utility6.6
Mechanics6.1
Opening Duels2.3
Win Impact4.4

Composite 5.7/10 (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 time588ms−24ms
first ⅓ avg 612ms → last ⅓ avg 588ms
Headshot accuracy21.9%+4.9%
first ⅓ avg 17.0% → last ⅓ avg 21.9%

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

0.22Best match rating · 11–13 · inferno, 9 Apr →
35%Best headshot accuracy · 10–13 · vertigo, 9 Apr →
375msFastest reaction time · 4–13 · inferno, 10 Dec →
13–0Biggest win · inferno, 9 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 9cacheWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%0.03
dust2A1610–663%0.02
infernoD133–1023%0.04
overpassC125–742%0.00
cacheD101–910%0.01
nukeS96–367%0.03
ancientD93–633%0.02
office—33–0100%0.05
train—33–0100%0.00
anubis—21–150%0.03
vertigo—10–10%0.05

Across the last 100 tracked matches.

Lifetime stats

110,103Lifetime kills
1.15K/D · Top 50% of Level 10 players
2,773Matches
49.3%Match win rate · Top 50% of Level 10 players
61.8%Headshot % · Top 25% of Level 10 players
18.5%Shot accuracy · Top 25% of Level 10 players
8,110MVPs
4,798Hours (in match)
3,326Bombs planted
1,073Bombs defused

Most-used weapons

AK-4749,767
AWP5,977
SSG 082,113
MP91,180
SG 5531,057

Lifetime map wins

4,351inferno
2,413nuke
1,973dust2
1,204vertigo
1,145train
125office
30cbble
17militia

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

Faceit stats

Combat

676Matches
53%Win rate
1.37Avg K/D
81.1ADR
43%Headshot %

Clutches & streaks

28%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1753%1.4016.7
Ancient1127%1.1017.4
Nuke862%1.3919.4
Vertigo743%1.1412.6
Overpass580%1.9921.8
Anubis450%1.4116.0
Dust2450%0.9815.0
Inferno333%1.6017.0

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.

21.9%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.4%Spray accuracy
77.4%Counter-strafing
10.3°Preaim
583msReaction time
30.0%T opening success
48.5%CT opening success
0.83Enemies flashed / flash
12.9%Flash assists
12.86HE damage / grenade
7.89Flashes / 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 29.9514% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage12–160.0419%3 Aug →
nuke13–110.0519%3 Aug →
inferno11–13-0.0116%3 Aug →
mirage13–90.0619%31 Jul →
dust213–80.0826%31 Jul →
cache9–130.0119%31 Jul →
overpass8–130.0332%31 Jul →
nuke13–70.129%28 Jul →
anubis13–80.1124%28 Jul →
cache11–130.0733%28 Jul →
ancient7–130.0121%28 Jul →
cache12–120.0325%28 Jul →
inferno8–130.0732%28 Jul →
mirage9–130.0227%28 Jul →
mirage13–110.0624%21 Jul →
inferno10–130.0124%21 Jul →
nuke13–80.1123%30 Jun →
mirage13–40.0830%30 Jun →
dust213–50.1024%30 Jun →
mirage7–130.0513%9 Jun →
office13–11-0.0222%9 Jun →
ancient9–130.0822%22 May →
inferno5–13-0.0126%22 May →
dust213–7-0.0317%22 May →
mirage13–7-0.0510%22 May →
cache9–130.0112%22 May →
mirage16–140.0624%22 May →
ancient8–13-0.0120%22 May →
dust213–30.0228%22 May →
cache9–13-0.0523%22 May →
cache11–130.0127%8 May →
cache11–130.0116%8 May →
cache7–13-0.0322%8 May →
cache13–100.0416%7 May →
cache8–13-0.0124%7 May →
vertigo10–130.0535%9 Apr →
ancient5–13-0.0318%9 Apr →
inferno11–130.2218%9 Apr →
mirage13–90.0319%9 Apr →
mirage6–130.0217%9 Apr →
overpass16–130.0323%22 Feb →
anubis4–13-0.055%13 Feb →
inferno8–13-0.0017%13 Feb →
inferno10–13-0.0522%13 Feb →
mirage1–130.0210%1 Feb →
nuke5–130.0420%18 Jan →
overpass9–13-0.0223%20 Dec →
dust28–13-0.057%20 Dec →
ancient13–90.0821%17 Dec →
dust210–13-0.0415%17 Dec →
dust27–13-0.0334%17 Dec →
nuke12–16-0.0019%17 Dec →
mirage16–14-0.0218%13 Dec →
mirage13–8-0.0116%13 Dec →
mirage16–12-0.0010%12 Dec →
train13–100.0119%12 Dec →
dust213–50.0320%12 Dec →
overpass11–13-0.0411%12 Dec →
inferno10–13-0.0120%12 Dec →
inferno13–70.0320%11 Dec →
nuke13–40.0321%11 Dec →
train13–20.0319%11 Dec →
mirage13–60.0518%10 Dec →
inferno4–13-0.0125%10 Dec →
dust213–90.0429%1 Dec →
nuke13–5-0.0210%29 Nov →
nuke13–5-0.068%29 Nov →
overpass13–8-0.0210%28 Nov →
overpass11–130.0312%27 Nov →
dust23–13-0.0218%26 Nov →
mirage13–50.0718%26 Nov →
overpass13–6-0.0520%26 Nov →
dust213–10-0.0221%26 Nov →
mirage13–80.028%26 Nov →
mirage9–13-0.0511%26 Nov →
nuke5–13-0.0415%26 Nov →
ancient13–60.1117%25 Nov →
dust213–30.0411%25 Nov →
overpass13–110.0517%25 Nov →
ancient16–12-0.0123%24 Nov →
mirage13–90.0812%23 Nov →
overpass7–13-0.0312%23 Nov →
dust213–30.0521%23 Nov →
overpass13–80.0517%20 Nov →
ancient13–16-0.0219%16 Nov →
inferno6–130.0524%14 Nov →
office13–60.0722%14 Nov →
dust214–160.0920%11 Nov →
office13–50.1014%11 Nov →
inferno13–80.0618%11 Nov →
overpass3–130.0114%10 Nov →
mirage3–130.0328%9 Nov →
ancient10–130.0120%9 Nov →
mirage9–130.1316%9 Nov →
train11–5-0.0415%9 Nov →
overpass9–13-0.0111%9 Nov →
inferno13–00.1118%9 Nov →
dust29–130.0218%9 Nov →
mirage13–5-0.0130%9 Nov →
dust213–6-0.0114%8 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.