Bummelum

Bummelum — CS2 Stats

VN76561198019717084[U:1:59451356]Steam profile ↗✓ No bans

2,229Tracked matches60%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
CSDB Leaderboard#52556 of 255324 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,208 -308 16 Oct – 5 Jan · 8 days played
22,14323,247peak 23,24716 Oct5 Jan
23,247Peak Premier in tracked matches
2,288Highest Faceit ELO seen on CSDB
67Days played since 2024-08-08

Faceit ELO

  • At peak — 2,288
  • Next: 2,500 ELO at 2,500 — 212 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGBummelumPEAK ELO2,288csdb.gg/stats

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Performance scores

Aim68
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateWWWWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · −73ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 604ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 640ms

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).

Aim6.8
Utility4.4
Positioning4.8
Opening Duels1.9
Clutch3.4

Effective flashesLimited 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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.8
Positioning4.8
Utility4.4
Mechanics7.3
Opening Duels1.8
Win Impact8.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time617ms+14ms
first ⅓ avg 602ms → last ⅓ avg 617ms
Headshot accuracy17.1%−0.4%
first ⅓ avg 17.5% → last ⅓ avg 17.1%

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

0.10Best match rating · 10–2 · inferno, 24 Feb →
35%Best headshot accuracy · 5–13 · nuke, 30 Mar →
461msFastest reaction time · 9–13 · nuke, 19 May →
13–3Biggest win · nuke, 5 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W4Current streak
15–9In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 61% over 31infernoWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
nukeA3119–1261%-0.02
dust2A1911–858%0.00
mirageA1911–858%-0.01
infernoB1910–953%0.00
ancient—41–325%-0.03
vertigo—42–250%-0.01
train—22–0100%-0.01
anubis—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,042Matches
52%Win rate
0.97Avg K/D
67.7ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno16755%0.8313.1
Nuke16253%0.9314.0
Mirage15444%0.8713.7
Dust214759%0.9313.7
Anubis2642%0.8013.2
Train2343%0.7812.9
Vertigo2065%0.9713.2
Ancient1331%0.6911.2

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.

17.2%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.3%Spray accuracy
83.0%Counter-strafing
10.9°Preaim
616msReaction time
25.9%T opening success
44.0%CT opening success
0.78Enemies flashed / flash
10.9%Flash assists
8.58HE damage / grenade
4.08Flashes / 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 25.8826% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–90.0015%29 Sept →
mirage13–8-0.0117%22 May →
nuke13–11-0.0616%22 May →
inferno13–110.0022%25 Apr →
mirage5–13-0.018%18 Apr →
nuke13–5-0.0421%7 Apr →
dust213–100.0514%2 Apr →
nuke13–11-0.0516%7 Feb →
inferno25–22-0.0111%8 Jan →
inferno13–110.0330%11 Dec →
nuke13–30.029%5 Dec →
dust213–30.0534%10 Nov →
nuke13–5-0.0718%4 Jun →
mirage8–13-0.0621%4 Jun →
nuke5–13-0.0517%4 Jun →
nuke11–13-0.0016%1 Jun →
dust213–7-0.0329%30 May →
dust25–13-0.0719%30 May →
inferno13–7-0.0510%28 May →
train19–16-0.0316%26 May →
mirage13–11-0.0020%25 May →
nuke9–13-0.088%19 May →
dust29–13-0.0113%18 May →
inferno8–130.0321%13 May →
inferno4–13-0.0513%11 May →
dust213–7-0.0217%11 May →
mirage8–13-0.069%24 Apr →
nuke4–130.0124%24 Apr →
nuke8–13-0.0415%19 Apr →
nuke13–8-0.0125%14 Apr →
train13–100.0014%13 Apr →
inferno9–130.0113%13 Apr →
dust213–100.0714%11 Apr →
mirage7–13-0.0611%2 Apr →
nuke13–7-0.0118%31 Mar →
nuke13–110.0015%30 Mar →
nuke5–13-0.1235%30 Mar →
nuke11–13-0.0816%26 Mar →
inferno8–130.0318%24 Mar →
dust213–60.0311%19 Mar →
mirage12–16-0.0118%19 Mar →
dust28–13-0.0416%16 Mar →
mirage16–13-0.0414%25 Feb →
inferno10–20.1029%24 Feb →
dust213–110.0422%24 Feb →
inferno19–17-0.0213%20 Feb →
nuke16–12-0.0210%20 Feb →
nuke13–50.0511%18 Feb →
nuke13–30.069%13 Feb →
inferno10–13-0.0515%12 Feb →
mirage16–130.037%6 Feb →
mirage13–11-0.0210%2 Feb →
mirage13–6-0.0113%2 Feb →
nuke10–13-0.0312%27 Jan →
dust216–14-0.0133%6 Jan →
mirage14–16-0.0518%5 Jan →
ancient11–13-0.0714%5 Jan →
mirage10–13-0.0215%5 Jan →
inferno13–80.0328%19 Dec →
nuke16–140.0222%16 Dec →
dust211–130.0223%16 Dec →
nuke13–5-0.0122%15 Dec →
dust213–110.0319%15 Dec →
mirage19–170.0012%15 Dec →
nuke13–90.0119%14 Dec →
dust213–6-0.0210%14 Dec →
inferno13–40.0114%13 Dec →
inferno13–70.0620%13 Dec →
dust211–13-0.0215%12 Dec →
mirage10–13-0.0211%9 Dec →
nuke8–130.0120%7 Dec →
vertigo10–13-0.0119%7 Dec →
inferno13–10-0.0714%6 Dec →
nuke13–9-0.0218%6 Dec →
nuke13–110.0113%5 Dec →
ancient10–13-0.076%4 Dec →
nuke0–20.000%1 Dec →
anubis8–13-0.0219%26 Nov →
dust215–150.0325%6 Nov →
vertigo16–13-0.0123%6 Nov →
nuke11–130.0421%4 Nov →
vertigo13–4-0.0516%1 Nov →
inferno11–130.0314%1 Nov →
mirage13–7-0.0010%1 Nov →
nuke13–5-0.0220%27 Oct →
dust210–130.0023%27 Oct →
nuke13–5-0.0425%27 Oct →
inferno10–13-0.0616%27 Oct →
dust212–160.0018%26 Oct →
mirage13–70.099%25 Oct →
ancient12–16-0.0418%17 Oct →
ancient13–90.0717%17 Oct →
nuke7–130.0324%17 Oct →
vertigo15–150.0116%17 Oct →
inferno2–130.0633%17 Oct →
mirage16–130.0322%16 Oct →
inferno4–13-0.0610%16 Oct →
nuke13–70.0124%16 Oct →
anubis16–14-0.0318%9 Aug →
mirage13–90.0122%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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