A BunBun

A BunBun — CS2 Stats

NO76561197996817119[U:1:36551391]Steam profile ↗✓ No bans

1,861Tracked matches43%Win rate2020Tracked since
CSDB Rating4.8 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,861 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,414 -3,808 23 Aug – 18 Jan · 13 days played
17,55723,492peak 23,49223 Aug18 Jan
23,751Peak Premier in tracked matches
25Days played since 2025-08-23

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

Share this profile

CSDB.GGA BunBunFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim61
Positioning46
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLWLWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.7pp headshot accuracy · −124ms 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 0.03
  • Avg headshot accuracy 31%
  • Avg reaction 600ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 645ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 707ms

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 (+1.4 against its own average).

Aim6.1
Utility5.2
Positioning4.6
Opening Duels1.1
Clutch4.2

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 701ms 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

Aim6.1
Positioning4.6
Utility5.2
Mechanics6.1
Opening Duels1.1
Win Impact2.8

Composite 4.8/10 (Developing), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time697ms+59ms
first ⅓ avg 638ms → last ⅓ avg 697ms
Headshot accuracy25.6%+5.0%
first ⅓ avg 20.7% → last ⅓ avg 25.6%

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

0.19Best match rating · 13–2 · ancient, 18 Jan →
61%Best headshot accuracy · 3–13 · mirage, 18 Jan →
375msFastest reaction time · 3–9 · inferno, 3 Sept →
13–2Biggest win · ancient, 18 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 83% over 6mirageWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageD217–1433%0.00
nukeA1710–759%0.00
overpassB158–753%0.01
ancientC156–940%0.00
infernoC135–838%-0.01
dust2C73–443%0.02
trainS65–183%0.02
anubis—32–167%0.04
vertigo—22–0100%0.03
grail—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

343Matches
52%Win rate
1.00Avg K/D
75.6ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4358%1.1517.4
Anubis3543%1.0314.1
Inferno3148%1.0214.4
Ancient2752%1.0515.6
Nuke2669%1.1118.5
Vertigo2045%1.0215.3
Overpass862%1.1313.0
Dust21100%1.0011.0

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.

25.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.9%Spray accuracy
77.6%Counter-strafing
10.9°Preaim
701msReaction time
26.3%T opening success
39.1%CT opening success
0.67Enemies flashed / flash
2.6%Flash assists
6.42HE damage / grenade
8.75Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.376ms — above the 700ms mark we flag

    Aim Training →
  2. 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 26.3467% — 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.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0227%27 Jan →
mirage7–130.0226%27 Jan →
anubis13–30.0938%27 Jan →
inferno7–13-0.0128%27 Jan →
nuke13–70.0437%27 Jan →
mirage8–13-0.0111%26 Jan →
overpass13–90.0117%26 Jan →
inferno9–13-0.079%26 Jan →
ancient11–13-0.0224%26 Jan →
mirage4–13-0.0522%23 Jan →
overpass9–13-0.0114%23 Jan →
anubis13–50.0122%23 Jan →
mirage13–6-0.0345%20 Jan →
anubis2–70.027%20 Jan →
nuke16–13-0.0224%18 Jan →
ancient13–4-0.0220%18 Jan →
ancient7–130.0332%18 Jan →
inferno8–130.0120%18 Jan →
ancient13–160.0334%18 Jan →
mirage13–100.0228%18 Jan →
ancient13–20.1927%18 Jan →
inferno13–160.0119%18 Jan →
mirage3–13-0.0261%18 Jan →
nuke13–110.0532%17 Jan →
ancient5–13-0.0430%17 Jan →
inferno13–90.0231%17 Jan →
ancient11–130.0027%17 Jan →
overpass13–60.0428%17 Jan →
nuke7–13-0.0223%17 Jan →
overpass12–160.0418%18 Dec →
ancient13–80.0213%18 Dec →
inferno13–70.0416%17 Dec →
mirage4–13-0.0538%17 Dec →
nuke9–13-0.0414%17 Dec →
nuke6–13-0.0241%5 Dec →
mirage12–12-0.0215%5 Dec →
train13–3-0.0119%5 Dec →
mirage8–13-0.0117%30 Nov →
overpass8–13-0.0525%30 Nov →
dust213–60.0424%28 Nov →
mirage12–120.0139%28 Nov →
mirage11–13-0.0123%26 Nov →
overpass13–30.0210%26 Nov →
mirage12–12-0.0132%24 Nov →
dust211–13-0.0517%24 Nov →
mirage11–130.0122%21 Nov →
dust211–130.0125%21 Nov →
overpass8–130.0132%21 Nov →
mirage13–100.0716%21 Nov →
mirage13–90.0230%20 Nov →
dust27–10.0817%20 Nov →
inferno5–130.0515%19 Nov →
mirage6–130.0215%19 Nov →
overpass3–130.0024%19 Nov →
vertigo9–30.0824%10 Sept →
train13–60.0622%10 Sept →
overpass9–13-0.0315%3 Sept →
inferno3–9-0.0623%3 Sept →
ancient3–13-0.0412%30 Aug →
overpass13–110.0111%30 Aug →
vertigo13–8-0.0234%30 Aug →
grail13–20.0318%30 Aug →
nuke13–7-0.0714%30 Aug →
inferno13–80.0229%30 Aug →
ancient13–6-0.0123%29 Aug →
train13–110.0517%29 Aug →
dust20–9-0.0220%29 Aug →
mirage13–20.0519%29 Aug →
overpass13–6-0.0215%27 Aug →
nuke13–8-0.0112%27 Aug →
dust212–16-0.0123%27 Aug →
ancient13–5-0.0112%27 Aug →
inferno6–13-0.0714%27 Aug →
mirage5–13-0.0413%27 Aug →
nuke13–40.0635%27 Aug →
train13–6-0.0121%27 Aug →
ancient9–13-0.0416%26 Aug →
nuke11–13-0.0213%26 Aug →
overpass13–80.0425%26 Aug →
train10–13-0.0315%26 Aug →
inferno13–6-0.0447%26 Aug →
overpass13–110.0117%26 Aug →
nuke10–130.0517%26 Aug →
ancient13–50.0517%26 Aug →
ancient14–16-0.0712%25 Aug →
nuke13–100.0235%25 Aug →
mirage10–130.0525%25 Aug →
overpass14–160.0521%25 Aug →
nuke13–40.0023%25 Aug →
overpass13–60.0529%24 Aug →
train13–40.0624%24 Aug →
inferno13–90.0119%24 Aug →
ancient11–13-0.0314%24 Aug →
nuke8–13-0.0227%24 Aug →
nuke13–110.0719%24 Aug →
dust213–90.0616%24 Aug →
mirage3–20.0150%24 Aug →
inferno11–13-0.0315%23 Aug →
nuke2–13-0.074%23 Aug →
mirage12–40.0121%23 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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