bang

bang — CS2 Stats

DK76561198442830271[U:1:482564543]Steam profile ↗✓ No bans

4,195Tracked matches33%Win rate2020Tracked since
8,764Hours in CS28Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10 · 3,216 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,216 → 3,216
+71Tracked matches · now 4,195
−3.3ppWin rate · 36.7% → 33.3%

Rating over time

Premier CS Rating: 24,678 +143 3 Dec – 7 Jan · 3 days played
23,53424,678peak 24,6783 Dec7 Jan
24,678Peak Premier in tracked matches
3,216Highest Faceit ELO seen on CSDB
68Days played since 2025-11-24

Faceit ELO

  • At peak — 3,216
  • Next: 3,500 ELO at 3,500 — 284 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-18
  • 2,500 ELO first seen 2026-09-18

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate57.3%50.9%
Shot accuracy14.7%13.7%
Kill/death ratio1.191.09
Match win rate52.8%48.4%

Share this profile

CSDB.GGbangFACEITLevel 10 · 3,216 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,216csdb.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

Aim87
Positioning65
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLWLWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +6.6pp headshot accuracy · +21ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 491ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 486ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 475ms

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 (+1.3 against its own average).

Aim8.7
Utility4.9
Positioning6.5
Opening Duels5.6
Clutch3.8

Sharp aimerLimited utility dependence

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning6.5
Utility4.9
Mechanics6.6
Opening Duels5.2
Win Impact0.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time494ms−104ms
first ⅓ avg 598ms → last ⅓ avg 494ms
Headshot accuracy24.9%−3.2%
first ⅓ avg 28.1% → last ⅓ avg 24.9%

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 · 13–7 · train, 7 Jan →
50%Best headshot accuracy · 1–13 · inferno, 19 Sept →
352msFastest reaction time · 13–10 · ancient, 18 Aug →
13–3Biggest win · nuke, 20 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 83% over 6ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
ancientD217–1433%0.02
mirageC208–1240%0.02
nukeA169–756%0.04
anubisC125–742%0.02
infernoB84–450%-0.00
cacheB63–350%0.01
overpassS65–183%0.03
dust2—42–250%-0.00
vertigo—32–167%0.04
train—22–0100%0.10
cache_b—11–0100%0.06
office—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

239,772Lifetime kills
1.19K/D · Top 50% of Level 10 players
8,207Matches
52.8%Match win rate · Top 25% of Level 10 players
57.3%Headshot % · Top 25% of Level 10 players
14.7%Shot accuracy · Top 50% of Level 10 players
36,063MVPs
3,984Hours (in match)
7,247Bombs planted
3,434Bombs defused

Most-used weapons

AK-4792,420
AWP27,276
Knife6,044
FAMAS3,652
SSG 082,887

Lifetime map wins

11,594inferno
10,307nuke
8,255dust2
8,208vertigo
4,504train
685cbble
259lake
103office

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

Faceit stats

Combat

5,444Matches
53%Win rate
1.20Avg K/D
88.7ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient77553%1.2018.4
Mirage66250%1.1717.4
Nuke44855%1.2518.7
Anubis43052%1.1718.4
Vertigo23663%1.3619.8
Overpass15155%1.3320.0
Dust214549%1.0817.4
Inferno8651%1.0617.5

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.

24.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.5%Spray accuracy
79.9%Counter-strafing
8.9°Preaim
488msReaction time
42.7%T opening success
58.8%CT opening success
0.70Enemies flashed / flash
16.7%Flash assists
7.02HE damage / grenade
3.98Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9765 — below the 4 mark we flag

    Grenade Lineups →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0221%24 Oct →
ancient13–4-0.0027%9 Oct →
anubis9–13-0.0233%6 Oct →
mirage13–50.028%22 Sept →
ancient3–13-0.0231%21 Sept →
anubis13–90.0820%21 Sept →
mirage6–130.0129%21 Sept →
inferno1–13-0.0350%19 Sept →
ancient10–130.0233%12 Sept →
vertigo13–110.0528%6 Sept →
mirage5–130.0827%30 Aug →
nuke10–130.0120%30 Aug →
mirage7–13-0.0016%30 Aug →
inferno6–13-0.0111%30 Aug →
ancient3–130.0529%23 Aug →
mirage16–13-0.0125%21 Aug →
anubis6–13-0.0425%20 Aug →
anubis9–13-0.0127%20 Aug →
ancient13–10-0.0316%18 Aug →
mirage16–130.0419%7 Aug →
cache11–13-0.0121%6 Aug →
mirage6–130.0321%27 Jul →
mirage10–13-0.0231%27 Jul →
cache13–100.1336%22 Jul →
ancient13–5-0.0634%22 Jul →
ancient12–16-0.0116%19 Jul →
nuke12–160.0723%15 Jul →
cache13–11-0.0233%15 Jul →
ancient11–130.0126%15 Jul →
ancient8–130.1125%13 Jul →
cache4–13-0.0118%10 Jul →
overpass13–100.0019%4 Jul →
ancient5–13-0.0226%25 Jun →
nuke13–60.0228%23 Jun →
nuke13–30.1143%20 Jun →
ancient16–120.0328%20 Jun →
nuke9–13-0.0031%14 Jun →
anubis5–13-0.0430%13 Jun →
anubis13–10-0.0115%13 Jun →
ancient11–130.0624%12 Jun →
anubis6–130.0827%12 Jun →
ancient13–30.0936%7 Jun →
overpass13–8-0.0127%29 May →
mirage10–13-0.0317%23 May →
overpass13–60.1526%23 May →
mirage13–110.0629%23 May →
mirage10–130.0232%6 May →
mirage6–130.0224%5 May →
cache13–10-0.0527%29 Apr →
inferno13–70.1017%25 Apr →
ancient13–40.1116%21 Apr →
dust213–160.0050%21 Apr →
inferno9–70.1023%7 Apr →
anubis13–100.0824%6 Apr →
nuke16–120.0422%5 Apr →
ancient7–13-0.0518%5 Apr →
ancient8–13-0.0417%5 Apr →
nuke7–130.1118%5 Apr →
nuke13–100.0728%22 Mar →
nuke11–130.0219%22 Mar →
anubis13–110.0025%17 Mar →
nuke5–9-0.0326%10 Mar →
inferno3–9-0.1333%6 Mar →
anubis13–100.1317%6 Mar →
ancient13–160.0320%4 Mar →
dust213–100.0430%3 Mar →
mirage13–80.0131%25 Feb →
overpass22–180.0021%21 Feb →
inferno4–13-0.0039%21 Feb →
vertigo11–13-0.0030%19 Feb →
nuke11–40.1044%19 Feb →
cache_b13–90.0634%19 Feb →
anubis10–13-0.0219%14 Feb →
ancient5–13-0.0424%14 Feb →
nuke13–11-0.0223%13 Feb →
inferno16–120.0315%8 Feb →
overpass13–70.0846%4 Feb →
anubis11–130.0025%31 Jan →
nuke13–90.0322%30 Jan →
mirage13–100.0635%20 Jan →
dust213–6-0.0213%19 Jan →
mirage3–13-0.0725%17 Jan →
nuke5–13-0.0435%17 Jan →
overpass1–13-0.0350%16 Jan →
mirage4–130.0126%9 Jan →
vertigo13–110.0826%9 Jan →
ancient9–13-0.0120%7 Jan →
ancient8–13-0.0226%7 Jan →
nuke13–60.1032%7 Jan →
train13–70.1526%7 Jan →
mirage10–13-0.0224%2 Jan →
mirage15–150.1231%19 Dec →
ancient13–70.1235%19 Dec →
dust22–13-0.0317%19 Dec →
nuke13–90.0118%7 Dec →
train16–140.0429%5 Dec →
inferno13–4-0.0920%3 Dec →
mirage13–3-0.0026%29 Nov →
office1–13-0.0650%27 Nov →
mirage13–100.0721%24 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 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.