BuNGuN

BuNGuN — CS2 Stats

UZ76561199565764259[U:1:1605498531]Steam profile ↗✓ No bans

387Tracked matches60%Win rate2025Tracked since
536Hours in CS14Hrs last 2 wks
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating6,303Light Blue band · top ~72.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−314Premier CS Rating · 6,617 → 6,303
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 17 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,303 -1,304 17 Jun19 Sept · 23 days played
3,0157,607peak 7,60717 Jun19 Sept
8,296Peak Premier in tracked matches
36Days played since 2026-06-17

Premier CS Rating

  • 1,304 below peak (7,607)
  • +1,414 over 30 days · improving
  • -909 over 90 days
  • Next: Blue band at 10,000 3,697 to go
  • Reached: Light 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 Light Blue band among CSDB-tracked players (n=8,217), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate40.7%39.9%41.9%1.2% short
Shot accuracy0.0%6.9%9.6%9.6% short
Kill/death ratio0.870.920.980.11 short
Match win rate45.1%42.3%43.8%above

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBuNGuNPREMIER6,303 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49501Last 10049%Win rateWLLLWLWWWL

Last 10 vs previous 10: −20pp win rate · +0.07 avg rating · +3.1pp headshot accuracy · −4ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.07), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 633ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 597ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.3
Utility5.3
Positioning5.8
Opening Duels4.4

Strong CT-side opener

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 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 576ms 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

Aim6.3
Positioning5.8
Utility5.3
Mechanics4.9
Opening Duels4.9
Win Impact8.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time587ms+21ms
first ⅓ avg 566ms → last ⅓ avg 587ms
Headshot accuracy20.7%+4.2%
first ⅓ avg 16.5% → last ⅓ avg 20.7%

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 · 13–4 · nuke, 11 Sept
67%Best headshot accuracy · 0–4 · dust2, 4 Aug
359msFastest reaction time · 16–14 · ancient, 12 Aug
13–1Biggest win · nuke, 22 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
68In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B42192345%-0.01
ancientA1710759%0.01
anubisC146843%0.02
nukeA138562%0.05
infernoC94544%0.04
mirage31233%-0.01
cache21150%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,780Lifetime kills
0.87K/D
811Matches
45.1%Match win rate · Top 50% of Light Blue band
40.7%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
1,502MVPs
291Hours (in match)
724Bombs planted
135Bombs defused

Most-used weapons

Lifetime map wins

3,192dust2
1,087inferno
453nuke
131vertigo
72train
6ar_shoots
2ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.2%Spray accuracy
72.2%Counter-strafing
9.4°Preaim
576msReaction time
44.1%T opening success
55.2%CT opening success
0.53Enemies flashed / flash
3.4%Flash assists
8.95HE damage / grenade
7.34Flashes / match

Recommended for you

Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–60.0617%19 Sept
dust29–13-0.0330%19 Sept
dust25–130.0419%19 Sept
ancient7–130.0636%19 Sept
inferno13–50.1527%19 Sept
anubis7–130.0219%16 Sept
dust213–90.0425%13 Sept
nuke13–40.2219%11 Sept
dust213–70.0111%11 Sept
inferno10–130.0521%11 Sept
anubis13–50.1429%11 Sept
dust216–140.0126%11 Sept
ancient8–10.0021%11 Sept
ancient13–90.0321%11 Sept
dust213–40.0128%11 Sept
inferno5–13-0.089%10 Sept
ancient2–13-0.0516%10 Sept
dust213–8-0.0814%10 Sept
mirage7–13-0.0118%7 Sept
dust213–4-0.0611%7 Sept
ancient13–50.0619%6 Sept
dust213–4-0.0223%6 Sept
inferno13–20.0632%6 Sept
dust24–13-0.0227%6 Sept
dust25–130.0531%2 Sept
dust210–130.0723%2 Sept
dust213–10-0.077%30 Aug
nuke16–120.0314%23 Aug
dust28–13-0.0423%20 Aug
nuke13–11-0.0516%16 Aug
anubis16–140.0321%16 Aug
dust213–80.0623%16 Aug
anubis15–150.049%15 Aug
inferno12–16-0.0418%15 Aug
dust27–00.0725%14 Aug
anubis13–70.1122%13 Aug
anubis13–8-0.036%12 Aug
nuke7–13-0.0418%12 Aug
ancient16–140.0211%12 Aug
inferno13–80.029%12 Aug
dust214–160.0830%11 Aug
dust213–10-0.0219%5 Aug
mirage6–13-0.0415%5 Aug
ancient13–90.019%5 Aug
dust212–160.0632%5 Aug
nuke6–20.0310%4 Aug
inferno10–130.1024%4 Aug
anubis2–130.0212%4 Aug
nuke13–30.1312%4 Aug
nuke4–13-0.0124%4 Aug
dust28–13-0.1126%4 Aug
dust20–4-0.0367%4 Aug
inferno13–50.099%1 Aug
ancient10–13-0.0519%1 Aug
dust211–13-0.015%1 Aug
dust21–30.0014%1 Aug
ancient13–60.0413%1 Aug
cache13–90.0617%31 Jul
ancient10–130.0324%31 Jul
dust216–14-0.0120%30 Jul
nuke13–90.0916%30 Jul
ancient4–13-0.1417%28 Jul
nuke13–10.147%22 Jul
anubis10–13-0.0519%21 Jul
dust27–13-0.0019%21 Jul
dust211–13-0.0711%21 Jul
cache13–160.0213%20 Jul
dust27–13-0.0617%20 Jul
anubis13–1-0.037%16 Jul
dust213–5-0.0115%16 Jul
nuke10–130.077%16 Jul
dust20–13-0.0650%16 Jul
nuke11–130.0621%10 Jul
dust29–130.1429%10 Jul
dust25–13-0.080%9 Jul
dust213–7-0.0827%9 Jul
ancient13–90.1119%8 Jul
mirage13–60.0118%8 Jul
anubis10–13-0.025%8 Jul
dust213–11-0.0621%8 Jul
dust213–10-0.0822%8 Jul
dust24–130.0723%8 Jul
ancient10–3-0.0242%2 Jul
nuke4–13-0.0117%2 Jul
ancient13–100.0216%1 Jul
dust213–40.0218%1 Jul
nuke13–4-0.0210%24 Jun
ancient13–70.118%24 Jun
anubis11–130.049%24 Jun
dust216–13-0.0210%24 Jun
dust27–130.019%24 Jun
ancient9–11-0.038%23 Jun
anubis8–13-0.059%23 Jun
dust211–13-0.1013%23 Jun
inferno7–130.0028%21 Jun
anubis7–130.0119%17 Jun
dust213–30.0214%17 Jun
dust28–130.0818%17 Jun
ancient9–13-0.1015%17 Jun
dust27–13-0.094%17 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →