BmD

BmD — CS2 Stats

76561197960382682[U:1:116954]Steam profile ↗✓ No bans

3,533Tracked matches41%Win rate2021Tracked since
4,458Hours in CS
CSDB Rating4.3 DevelopingSupport
FaceitLevel 8 · 1,798 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,798 → 1,798
+130Tracked matches · now 3,533
+1.4ppWin rate · 40.0% → 41.4%

Rating over time

Premier CS Rating: 20,457 -13 5 Jun – 11 Jun · 6 days played
20,00020,470peak 20,4705 Jun11 Jun
Faceit ELO: 1,798 +0 21 Sept – 1 Oct · 2 observations
1,7981,798peak 1,79821 Sept1 Oct
20,752Peak Premier in tracked matches
1,798Highest Faceit ELO seen on CSDB
69Days played since 2026-05-08

Faceit ELO

  • At peak — 1,798
  • Next: Level 10 at 2,001 — 203 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-21
  • Level 8 first seen 2026-09-21

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate52.6%46.8%48.2%above
Shot accuracy14.2%13.0%13.2%above
Kill/death ratio0.921.061.070.15 short
Match win rate46.6%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBmDFACEITLevel 8 · 1,798 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,798csdb.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

Aim54
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

COLD44–55–1Last 10044%Win rateLLLLTLLWLL

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −4.0pp headshot accuracy · +44ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

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 (+2.1 against its own average).

Aim5.4
Utility5.6
Positioning4.8
Opening Duels0.5
Clutch3.2

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning4.8
Utility5.6
Mechanics4.0
Opening Duels2.5
Win Impact2.1

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time555ms−46ms
first ⅓ avg 600ms → last ⅓ avg 555ms
Headshot accuracy20.1%−4.8%
first ⅓ avg 25.0% → last ⅓ avg 20.1%

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 · 13–9 · anubis, 7 Sept →
67%Best headshot accuracy · 13–2 · office, 28 Sept →
375msFastest reaction time · 6–13 · ancient, 30 Aug →
13–1Biggest win · office, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
12–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 61% over 23cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%-0.02
ancientA2314–961%0.01
anubisC156–940%-0.01
infernoD124–833%-0.01
mirageC94–544%-0.03
nukeD62–433%-0.02
cacheD51–420%-0.05
office—32–167%-0.05
overpass—10–10%0.07

Across the last 100 tracked matches.

Lifetime stats

199,992Lifetime kills
0.92K/D
6,330Matches
46.6%Match win rate · Top 50% of Level 8 players
52.6%Headshot % · Top 25% of Level 8 players
14.2%Shot accuracy · Top 50% of Level 8 players
17,874MVPs
4,458Hours (in match)
6,949Bombs planted
1,793Bombs defused

Most-used weapons

AK-4785,002
AWP23,544
P2505,110
FAMAS3,992
Knife3,910
MAC-102,198

Lifetime map wins

22,395inferno
15,819dust2
3,089train
2,650nuke
1,537vertigo
796cbble
69office
32dust

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

Faceit stats

Combat

4,063Matches
50%Win rate
1.00Avg K/D
79.1ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno54551%0.9515.4
Dust251949%0.9415.0
Ancient48651%0.9715.8
Mirage36849%0.9114.9
Anubis32452%0.9915.4
Nuke10055%0.9615.9
Vertigo7040%0.9015.1
Train5450%0.9715.9

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.

20.5%Headshot accuracy
29.4%Accuracy (enemy spotted)
33.1%Spray accuracy
67.9%Counter-strafing
10.0°Preaim
571msReaction time
47.0%T opening success
32.8%CT opening success
0.53Enemies flashed / flash
7.8%Flash assists
6.65HE damage / grenade
15.67Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.8065% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0323%9 Nov →
dust27–13-0.0717%8 Nov →
mirage7–130.0126%27 Oct →
mirage17–19-0.0714%25 Oct →
office12–12-0.0814%23 Oct →
anubis7–13-0.0314%23 Oct →
inferno1–10-0.080%23 Oct →
ancient13–6-0.0019%22 Oct →
nuke8–13-0.0326%21 Oct →
anubis3–13-0.0129%20 Oct →
dust213–8-0.0314%19 Oct →
mirage13–2-0.0722%19 Oct →
inferno13–80.0019%15 Oct →
ancient13–110.0126%13 Oct →
inferno3–13-0.0425%10 Oct →
inferno8–13-0.0140%9 Oct →
dust21–80.0626%6 Oct →
anubis10–130.0515%5 Oct →
dust27–130.0021%5 Oct →
nuke13–30.1113%3 Oct →
office13–2-0.0167%28 Sept →
nuke3–1-0.050%28 Sept →
office13–1-0.0813%28 Sept →
ancient9–130.0215%27 Sept →
dust211–130.0225%26 Sept →
ancient6–130.0815%25 Sept →
nuke6–13-0.0616%24 Sept →
dust213–11-0.0626%24 Sept →
dust213–6-0.0227%24 Sept →
dust213–10-0.0620%22 Sept →
cache1–13-0.1214%18 Sept →
dust28–13-0.0310%16 Sept →
ancient0–13-0.0416%15 Sept →
anubis4–13-0.0926%15 Sept →
dust29–13-0.0515%13 Sept →
dust211–13-0.0224%13 Sept →
ancient13–80.0416%13 Sept →
mirage7–13-0.0911%13 Sept →
dust211–130.0227%11 Sept →
anubis14–160.0214%8 Sept →
ancient13–40.0116%7 Sept →
anubis13–90.1517%7 Sept →
anubis13–10-0.027%4 Sept →
cache6–13-0.082%4 Sept →
mirage8–13-0.0215%3 Sept →
ancient6–13-0.0620%30 Aug →
ancient13–20.0811%27 Aug →
anubis4–13-0.0711%26 Aug →
anubis10–13-0.0126%20 Aug →
dust210–13-0.0820%14 Aug →
dust213–3-0.0034%14 Aug →
anubis8–13-0.0119%11 Aug →
ancient13–80.0512%10 Aug →
dust216–140.0019%7 Aug →
anubis13–10-0.0319%28 Jul →
ancient13–110.0026%28 Jul →
dust210–13-0.0010%27 Jul →
ancient13–90.0117%27 Jul →
ancient13–11-0.0017%24 Jul →
cache9–130.0142%21 Jul →
ancient13–70.0726%18 Jul →
mirage14–160.0126%15 Jul →
inferno3–13-0.0326%14 Jul →
inferno9–13-0.0114%14 Jul →
ancient13–16-0.0110%13 Jul →
inferno13–90.0427%13 Jul →
cache12–160.0227%13 Jul →
overpass9–130.0728%10 Jul →
dust213–5-0.0334%10 Jul →
ancient20–220.0219%10 Jul →
anubis11–130.0214%8 Jul →
dust26–130.0029%8 Jul →
dust213–60.0121%30 Jun →
inferno10–130.0323%30 Jun →
anubis13–11-0.0322%25 Jun →
dust213–11-0.0324%23 Jun →
ancient5–13-0.0319%21 Jun →
dust211–13-0.0332%20 Jun →
ancient13–80.0612%20 Jun →
mirage13–11-0.0426%19 Jun →
ancient13–20.0532%12 Jun →
nuke9–13-0.0825%11 Jun →
ancient13–60.0329%11 Jun →
dust210–130.0121%11 Jun →
mirage16–14-0.0129%11 Jun →
dust210–13-0.0750%10 Jun →
anubis13–10-0.0636%10 Jun →
ancient3–13-0.0324%9 Jun →
inferno13–7-0.0228%7 Jun →
inferno3–13-0.0124%6 Jun →
inferno8–130.0133%5 Jun →
dust213–11-0.0318%5 Jun →
inferno13–80.0133%2 Jun →
mirage13–70.0419%2 Jun →
ancient13–10-0.0426%1 Jun →
anubis13–100.0219%25 May →
ancient11–13-0.0117%21 May →
dust213–40.0518%20 May →
cache13–11-0.0715%16 May →
nuke11–13-0.0226%8 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.