bang♥

bang♥ — CS2 Stats

CA76561198092124516[U:1:131858788]Steam profile ↗✓ No bans

490Tracked matches46%Win rate2020Tracked since
979Hours in CS
CSDB Rating7.0 StrongAll-Rounder
Premier CS Rating21,300Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#66926 of 261677 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 21,300 +2,671 8 Nov – 12 Nov · 18 days played
18,50621,469peak 21,4698 Nov12 Nov
21,590Peak Premier in tracked matches
51Days played since 2024-11-08

Premier CS Rating

  • 169 below peak (21,469)
  • Next: Red band at 25,000 — 3,700 to go
  • Reached: Pink band · Purple band · Blue band · 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 Level 6 among CSDB-tracked players (n=13,777), 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 6 medianLevel 7 medianvs Level 7
Headshot rate35.5%44.8%45.7%10.2% short
Shot accuracy16.1%12.4%12.7%above
Kill/death ratio0.961.031.050.09 short
Match win rate45.4%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbang♥FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,300 · Pink bandcsdb.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

Aim77
Positioning69
Utility62

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateTLLWLLLLWW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −1.3pp headshot accuracy · +89ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim7.7
Utility6.2
Positioning6.9
Opening Duels6.0

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

jL

Plays most like jL 93% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 66% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms 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

Aim7.7
Positioning6.9
Utility6.2
Mechanics8.1
Opening Duels6.9
Win Impact3.7

Composite 7.0/10 (Strong), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time537ms−58ms
first ⅓ avg 596ms → last ⅓ avg 537ms
Headshot accuracy16.9%−5.0%
first ⅓ avg 22.0% → last ⅓ avg 16.9%

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

0.15Best match rating · 13–3 · inferno, 4 Jun →
42%Best headshot accuracy · 13–1 · mirage, 5 Feb →
391msFastest reaction time · 8–13 · vertigo, 11 Jun →
13–1Biggest win · mirage, 5 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 61% over 36ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3622–1461%0.01
mirageB2713–1448%-0.01
infernoD123–925%-0.03
ancientD91–811%-0.03
vertigo—42–250%-0.03
anubis—32–167%-0.06
cache—32–167%0.04
train—32–167%0.01
nuke—20–20%-0.07
overpass—10–10%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,565Lifetime kills
0.96K/D
2,442Matches
45.4%Match win rate · Top 50% of Level 6 players
35.5%Headshot %
16.1%Shot accuracy · Top 25% of Level 6 players
5,919MVPs
979Hours (in match)
3,290Bombs planted
679Bombs defused

Most-used weapons

AK-479,145
P2504,679
AWP2,585
SSG 082,499
MP72,159
UMP-451,501

Lifetime map wins

16,087dust2
753inferno
575vertigo
156cbble
153office
123nuke
93train
32lake

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

Faceit stats

Combat

40Matches
58%Win rate
1.10Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.1316.5
Inferno667%0.8312.2
Vertigo580%1.4517.4
Ancient367%0.8112.7
Dust2333%1.1114.3
Overpass1100%1.2918.0

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.

17.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.5%Spray accuracy
86.4%Counter-strafing
8.8°Preaim
557msReaction time
65.6%T opening success
49.9%CT opening success
0.80Enemies flashed / flash
8.2%Flash assists
14.36HE damage / grenade
11.38Flashes / match

Recommended for you

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0413%12 Nov →
ancient8–13-0.0511%7 Nov →
ancient7–13-0.088%31 Oct →
anubis13–9-0.0316%31 Oct →
cache6–13-0.0016%26 Oct →
mirage3–13-0.0416%26 Oct →
dust29–13-0.0217%25 Oct →
dust28–13-0.0126%25 Oct →
dust213–90.0525%25 Oct →
cache13–40.0824%25 Oct →
dust213–90.0024%25 Oct →
cache16–140.0314%24 Oct →
mirage15–150.0415%24 Oct →
dust213–8-0.0317%24 Oct →
anubis2–0-0.070%24 Oct →
dust216–14-0.0122%12 Oct →
mirage3–13-0.0524%11 Oct →
dust213–100.0115%11 Oct →
mirage11–130.0628%11 Oct →
dust213–110.1426%14 Sept →
mirage16–13-0.0617%25 Apr →
dust24–130.0127%25 Apr →
dust215–15-0.019%3 Apr →
inferno3–13-0.085%3 Apr →
mirage6–13-0.0432%10 Mar →
inferno8–13-0.0411%10 Mar →
mirage13–110.1325%8 Mar →
dust215–150.0421%8 Mar →
inferno6–13-0.0911%30 Jan →
inferno5–13-0.156%30 Jan →
mirage13–110.035%25 Jan →
inferno7–13-0.0611%23 Dec →
train13–70.0421%23 Dec →
nuke3–13-0.0817%16 Dec →
ancient4–13-0.0218%16 Dec →
dust213–5-0.0118%14 Dec →
overpass10–13-0.0018%14 Dec →
dust213–100.0128%13 Dec →
nuke2–13-0.0724%13 Dec →
mirage13–11-0.0417%20 Nov →
dust29–13-0.0818%12 Nov →
dust216–120.0517%16 Aug →
mirage8–13-0.0410%1 Aug →
mirage13–100.0727%1 Aug →
mirage12–12-0.0117%28 Jun →
inferno7–130.0316%28 Jun →
vertigo8–13-0.0120%11 Jun →
dust213–10-0.0712%11 Jun →
mirage3–13-0.0831%10 Jun →
dust213–100.0218%6 Jun →
inferno13–30.1526%4 Jun →
inferno11–13-0.0233%4 Jun →
dust23–13-0.0322%4 Jun →
mirage11–130.0628%4 Jun →
dust213–30.1130%1 Jun →
dust213–110.0330%1 Jun →
dust213–80.0328%21 May →
dust25–13-0.0819%21 May →
train1–13-0.0420%21 May →
inferno9–10.0218%21 May →
dust27–13-0.0731%21 May →
dust213–20.1223%20 May →
mirage9–13-0.0420%29 Mar →
ancient15–15-0.0316%5 Feb →
mirage13–6-0.0435%5 Feb →
mirage13–10.0942%5 Feb →
train13–90.0222%31 Jan →
inferno11–130.0021%30 Jan →
inferno13–6-0.0228%20 Jan →
dust213–40.0540%10 Jan →
ancient15–15-0.0135%9 Jan →
mirage13–2-0.0220%20 Dec →
dust26–13-0.0610%20 Dec →
ancient3–13-0.088%20 Dec →
mirage10–13-0.0218%14 Dec →
dust210–13-0.0032%14 Dec →
dust213–60.0215%13 Dec →
mirage0–13-0.060%13 Dec →
vertigo13–9-0.0517%12 Dec →
dust213–100.0722%12 Dec →
vertigo7–13-0.0616%12 Dec →
inferno13–16-0.0421%7 Dec →
dust216–140.0324%7 Dec →
dust213–16-0.0215%7 Dec →
ancient11–13-0.0636%7 Dec →
mirage13–9-0.0118%7 Dec →
dust24–13-0.0133%6 Dec →
mirage9–13-0.0318%5 Dec →
dust213–7-0.0327%5 Dec →
ancient13–80.0124%5 Dec →
mirage13–11-0.0623%4 Dec →
anubis3–13-0.0615%4 Dec →
mirage16–14-0.0319%4 Dec →
dust24–130.0321%1 Dec →
mirage13–11-0.0636%21 Nov →
vertigo13–8-0.0220%20 Nov →
mirage7–13-0.0227%9 Nov →
mirage13–90.027%8 Nov →
dust213–90.0034%8 Nov →
dust213–10-0.0424%8 Nov →

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 →

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