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ole brumm

ole brumm — CS2 Stats

NO76561198996740236[U:1:1036474508]Steam profile ↗✓ No bans

304Tracked matches60%Win rate2020Tracked since
1,869Hours in CS59Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating10,455Blue band · top ~52.5% of ranked players (population est.)
CSDB Leaderboard#183286 of 259530 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+420Premier CS Rating · 10,035 → 10,455

Rating over time

Premier CS Rating: 10,455 +4,174 8 Sept – 2 Nov · 27 days played
5,53811,813peak 11,8138 Sept2 Nov
11,813Peak Premier in tracked matches
28Days played since 2026-09-08

Premier CS Rating

  • 1,358 below peak (11,813)
  • Next: Purple band at 15,000 — 4,545 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-18

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate35.5%43.8%44.8%9.3% short
Shot accuracy18.1%12.0%12.4%above
Kill/death ratio0.951.021.030.08 short
Match win rate38.1%44.7%45.2%7.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGole brummFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,455 · Blue 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

Aim52
Positioning42
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLWLLWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.7pp headshot accuracy · +13ms reaction

Win rate 0pp 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 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 550ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 517ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 510ms

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 (+2.1 against its own average).

Aim5.2
Utility3.4
Positioning4.2
Opening Duels0.0
Clutch1.0

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

iM

Plays most like iM 87% 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 →

CSDB Rating breakdown

Aim5.2
Positioning4.2
Utility3.4
Mechanics4.9
Opening Duels1.0
Win Impact8.3

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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time538ms−35ms
first ⅓ avg 573ms → last ⅓ avg 538ms
Headshot accuracy11.9%−2.5%
first ⅓ avg 14.4% → last ⅓ avg 11.9%

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

0.20Best match rating · 13–1 · cache, 23 Sept →
37%Best headshot accuracy · 13–1 · cache, 23 Sept →
406msFastest reaction time · 13–8 · dust2, 29 Oct →
13–0Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%0.00
dust2A2214–864%-0.02
nukeA1912–763%-0.01
cacheA106–460%0.00
anubisA106–460%-0.02
infernoD81–713%-0.01
ancientS64–267%-0.01
vertigo—20–20%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,248Lifetime kills
0.95K/D
1,555Matches
38.1%Match win rate
35.5%Headshot %
18.1%Shot accuracy · Top 10% of Level 5 players
4,063MVPs
426Hours (in match)
1,315Bombs planted
397Bombs defused

Most-used weapons

AK-475,724
M4A4 / M4A1-S3,738
AWP2,686
P2000 / USP-S1,563
Desert Eagle1,448
Glock-181,073
XM1014741
AUG634
Galil AR571
Knife459

Lifetime map wins

1,399vertigo
1,327dust2
1,011nuke
1,008inferno
714lake
501train
310cbble
39office

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

Faceit stats

Combat

27Matches
59%Win rate
0.85Avg K/D
61.7ADR
33%Headshot %

Clutches & streaks

25%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.7110.6
Nuke475%0.8315.5
Anubis450%0.9013.0
Dust2450%0.7412.0
Cache3100%0.588.3
Ancient30%0.7113.0
Inferno1100%1.0012.0

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.

11.8%Headshot accuracy
30.3%Accuracy (enemy spotted)
35.3%Spray accuracy
71.8%Counter-strafing
10.0°Preaim
531msReaction time
31.6%T opening success
36.3%CT opening success
0.38Enemies flashed / flash
3.3%Flash assists
11.34HE damage / grenade
5.39Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8174% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3837 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.6349% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–130.015%2 Nov →
inferno13–50.0811%2 Nov →
mirage4–12-0.1115%31 Oct →
cache10–130.0813%30 Oct →
dust216–14-0.0016%30 Oct →
inferno6–13-0.0111%29 Oct →
dust213–8-0.0613%29 Oct →
nuke9–13-0.0120%28 Oct →
dust213–5-0.0411%27 Oct →
dust213–9-0.017%26 Oct →
dust27–13-0.0712%25 Oct →
cache13–2-0.0116%20 Oct →
mirage13–6-0.0221%20 Oct →
dust211–13-0.0413%19 Oct →
nuke16–14-0.0211%19 Oct →
cache13–70.0112%19 Oct →
mirage13–30.1216%19 Oct →
mirage5–13-0.038%18 Oct →
nuke5–13-0.0810%25 Sept →
vertigo3–90.0922%25 Sept →
ancient16–14-0.0116%24 Sept →
dust213–8-0.087%24 Sept →
anubis13–10-0.055%24 Sept →
cache13–11-0.067%24 Sept →
nuke13–7-0.0412%24 Sept →
mirage16–130.0012%24 Sept →
nuke13–2-0.045%24 Sept →
nuke6–130.0314%24 Sept →
inferno13–160.0120%24 Sept →
ancient4–13-0.076%23 Sept →
ancient13–10-0.066%23 Sept →
nuke13–80.028%23 Sept →
dust213–10-0.0412%23 Sept →
inferno8–8-0.0717%23 Sept →
nuke9–70.0225%23 Sept →
vertigo0–9-0.248%23 Sept →
mirage13–11-0.0520%23 Sept →
anubis13–3-0.028%23 Sept →
mirage10–130.0419%23 Sept →
cache13–10.2037%23 Sept →
mirage6–13-0.0618%22 Sept →
dust210–13-0.0113%22 Sept →
mirage14–16-0.0412%22 Sept →
cache13–10.0518%22 Sept →
nuke13–70.0522%22 Sept →
anubis13–11-0.028%22 Sept →
dust213–10-0.0111%22 Sept →
dust211–13-0.0815%22 Sept →
dust213–20.1228%22 Sept →
nuke13–100.069%21 Sept →
nuke16–130.0217%21 Sept →
dust29–13-0.0010%21 Sept →
dust24–4-0.0429%21 Sept →
dust213–11-0.0912%21 Sept →
anubis10–13-0.0510%21 Sept →
nuke13–10-0.0815%21 Sept →
inferno4–13-0.090%21 Sept →
mirage5–13-0.068%21 Sept →
dust213–00.1010%21 Sept →
nuke5–13-0.044%21 Sept →
mirage15–15-0.0117%20 Sept →
mirage13–40.1010%19 Sept →
nuke3–13-0.063%19 Sept →
anubis13–7-0.0821%18 Sept →
inferno11–13-0.059%18 Sept →
anubis13–7-0.007%18 Sept →
mirage13–00.0217%18 Sept →
cache8–13-0.0318%18 Sept →
dust28–10.0329%18 Sept →
ancient13–4-0.047%18 Sept →
mirage13–110.0614%18 Sept →
mirage13–60.0217%18 Sept →
ancient13–40.109%18 Sept →
dust210–13-0.0420%17 Sept →
anubis11–13-0.0011%17 Sept →
cache6–13-0.1318%17 Sept →
nuke7–130.0211%16 Sept →
anubis13–10-0.057%16 Sept →
mirage13–9-0.023%16 Sept →
inferno5–13-0.0525%15 Sept →
mirage9–13-0.0313%15 Sept →
anubis3–130.0116%15 Sept →
inferno5–130.0913%15 Sept →
mirage13–9-0.0029%14 Sept →
mirage13–7-0.0415%14 Sept →
nuke13–90.038%14 Sept →
nuke9–60.0116%14 Sept →
dust213–11-0.0611%14 Sept →
cache7–13-0.0417%12 Sept →
anubis11–130.0819%12 Sept →
mirage13–70.0714%12 Sept →
dust213–30.0135%11 Sept →
dust26–13-0.067%10 Sept →
nuke9–11-0.0213%10 Sept →
cache13–11-0.045%10 Sept →
mirage13–100.0311%10 Sept →
mirage10–13-0.0110%9 Sept →
dust27–13-0.0113%9 Sept →
nuke11–13-0.0110%8 Sept →
ancient9–13-0.0214%8 Sept →

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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