BUM

BUM — CS2 Stats

76561199069095233[U:1:1108829505]Steam profile ↗✓ No bans

4,502Tracked matches40%Win rate2020Tracked since
2,560Hours in CS
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 10 · 1,895 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,895 → 1,895
+53Tracked matches · now 4,502
−10.0ppWin rate · 50.0% → 40.0%

Rating over time

1,895Highest Faceit ELO seen on CSDB
68Days played since 2025-12-07

Faceit ELO

  • At peak — 1,895
  • Next: Level 10 at 2,001 — 106 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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=29,304), 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 rate60.7%50.9%
Shot accuracy1.8%13.7%
Kill/death ratio0.741.09
Match win rate46.5%48.4%

Share this profile

CSDB.GGBUMFACEITLevel 10 · 1,895 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,895csdb.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

Aim64
Positioning55
Utility51

0–100 skill scores via Leetify.

Recent form

COLD41–59Last 10041%Win rateLLLWLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.3pp headshot accuracy · −56ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 557ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

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 (+1.2 against its own average).

Aim6.4
Utility5.1
Positioning5.5
Opening Duels3.3
Clutch3.2

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

ZywOo

Plays most like ZywOo 87% 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

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim6.4
Positioning5.5
Utility5.1
Mechanics6.1
Opening Duels3.3
Win Impact1.7

Composite 4.9/10 (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 time595ms−52ms
first ⅓ avg 647ms → last ⅓ avg 595ms
Headshot accuracy19.6%+1.5%
first ⅓ avg 18.2% → last ⅓ avg 19.6%

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

0.10Best match rating · 11–13 · nuke, 25 Apr →
32%Best headshot accuracy · 13–10 · ancient, 18 May →
367msFastest reaction time · 4–13 · mirage, 28 Aug →
13–2Biggest win · anubis, 4 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 60% over 15infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%-0.02
nukeC239–1439%-0.00
ancientA159–660%0.00
dust2D134–931%-0.01
overpassD82–625%-0.03
infernoD61–517%-0.02
anubis—43–175%-0.03
train—31–233%-0.00
cache—20–20%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,783Lifetime kills
0.74K/D
4,362Matches
46.5%Match win rate
60.7%Headshot % · Top 25% of Level 10 players
1.8%Shot accuracy
9,329MVPs
2,560Hours (in match)
3,884Bombs planted
1,086Bombs defused

Most-used weapons

AK-4770,974
AWP6,186
Knife2,291
FAMAS1,027
MP9902

Lifetime map wins

9,178nuke
3,320inferno
3,253vertigo
2,887dust2
2,343train
14office
11cbble

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

Faceit stats

Combat

4,030Matches
50%Win rate
0.98Avg K/D
74.4ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage108149%0.9915.6
Nuke69658%1.0515.9
Ancient49846%0.9314.7
Anubis35345%0.9915.2
Dust223840%0.8713.8
Vertigo20652%1.0716.6
Inferno20050%0.9515.1
Train18856%1.0315.5

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.

19.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.6%Spray accuracy
77.4%Counter-strafing
8.8°Preaim
588msReaction time
33.8%T opening success
52.8%CT opening success
0.69Enemies flashed / flash
5.9%Flash assists
11.17HE damage / grenade
9.10Flashes / 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

    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 33.7642% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0517%9 Oct →
inferno4–13-0.1013%27 Sept →
nuke6–13-0.0220%26 Sept →
nuke13–11-0.0623%18 Sept →
mirage3–13-0.078%5 Sept →
dust25–13-0.0430%29 Aug →
mirage4–13-0.0714%28 Aug →
nuke11–13-0.0121%23 Aug →
mirage16–14-0.0225%23 Aug →
dust211–13-0.0419%16 Aug →
anubis13–2-0.0822%4 Jun →
ancient13–100.0632%18 May →
overpass8–13-0.0617%14 May →
cache2–13-0.0611%7 May →
cache3–130.0521%4 May →
nuke19–15-0.038%2 May →
inferno13–8-0.0127%29 Apr →
mirage2–13-0.0627%28 Apr →
ancient13–30.0426%28 Apr →
nuke11–13-0.0321%28 Apr →
mirage13–9-0.0313%26 Apr →
mirage8–13-0.0919%26 Apr →
nuke11–130.1022%25 Apr →
ancient9–130.0122%25 Apr →
nuke13–90.0314%22 Apr →
nuke13–40.0217%22 Apr →
mirage10–130.0527%21 Apr →
ancient13–70.0319%21 Apr →
dust27–13-0.0525%19 Apr →
mirage13–7-0.0315%18 Apr →
mirage13–9-0.0416%18 Apr →
ancient13–7-0.0318%17 Apr →
ancient7–13-0.0322%16 Apr →
dust216–140.0327%16 Apr →
overpass7–13-0.113%16 Apr →
dust213–110.0319%15 Apr →
nuke13–100.0613%13 Apr →
anubis6–13-0.0422%12 Apr →
overpass6–130.0524%12 Apr →
nuke7–130.0114%11 Apr →
dust213–110.0415%11 Apr →
mirage8–130.0517%10 Apr →
overpass13–16-0.0416%9 Apr →
overpass4–13-0.0521%9 Apr →
nuke8–13-0.0117%2 Apr →
overpass13–100.0130%2 Apr →
inferno13–160.0316%29 Mar →
nuke14–16-0.045%28 Mar →
ancient11–13-0.0011%28 Mar →
overpass13–9-0.0518%28 Mar →
dust213–100.0614%24 Mar →
mirage9–13-0.0319%24 Mar →
mirage6–13-0.0420%22 Mar →
dust213–16-0.018%21 Mar →
ancient13–20.0210%17 Mar →
mirage11–130.0026%17 Mar →
mirage13–100.0316%17 Mar →
dust210–13-0.0431%17 Mar →
nuke9–13-0.0220%16 Mar →
mirage11–13-0.0218%16 Mar →
anubis16–130.0015%14 Mar →
mirage13–10-0.0318%14 Mar →
nuke10–130.0313%7 Mar →
mirage8–13-0.073%7 Mar →
nuke8–13-0.0212%6 Mar →
ancient13–100.0120%3 Mar →
dust212–16-0.0413%2 Mar →
mirage13–70.0416%2 Mar →
ancient13–4-0.0715%2 Mar →
ancient13–60.0516%1 Mar →
anubis13–70.0021%1 Mar →
mirage13–10-0.0217%28 Feb →
nuke10–13-0.0626%14 Feb →
inferno9–13-0.0011%14 Feb →
nuke13–30.0315%14 Feb →
nuke11–13-0.0222%13 Feb →
inferno5–13-0.0311%8 Feb →
overpass7–130.0313%4 Feb →
ancient13–10-0.066%30 Jan →
mirage13–70.0620%30 Jan →
dust28–13-0.0516%18 Jan →
train13–90.0519%17 Jan →
train13–16-0.0214%2 Jan →
mirage13–4-0.0225%2 Jan →
mirage7–13-0.0326%31 Dec →
dust211–13-0.0530%30 Dec →
nuke3–13-0.0217%29 Dec →
nuke13–7-0.0415%25 Dec →
nuke16–140.0526%24 Dec →
train8–13-0.048%24 Dec →
ancient6–130.0315%22 Dec →
inferno10–13-0.0421%20 Dec →
mirage9–13-0.0529%20 Dec →
mirage13–6-0.0214%19 Dec →
ancient9–13-0.0218%18 Dec →
dust25–130.0122%17 Dec →
ancient13–160.0021%14 Dec →
mirage13–70.0717%10 Dec →
nuke8–13-0.0517%9 Dec →
nuke13–110.0021%7 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.