komeebro

komeebro — CS2 Stats

MN76561198311335669[U:1:351069941]Steam profile ↗✓ No bans

704Tracked matches47%Win rate2020Tracked since
3,402Hours in CS6Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating14,894Blue band · top ~29% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,894 -13 29 Aug – 4 Nov · 20 days played
14,87815,916peak 15,91629 Aug4 Nov
16,283Peak Premier in tracked matches
21Days played since 2026-08-23

Premier CS Rating

  • 1,022 below peak (15,916)
  • -29 over 30 days · steady
  • Next: Purple band at 15,000 — 106 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate33.8%40.9%41.3%7.5% short
Shot accuracy16.1%14.2%12.7%above
Kill/death ratio0.770.950.950.18 short
Match win rate39.0%42.1%42.6%3.6% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkomeebroFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER14,894 · 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

Aim51
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLLLWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.7pp headshot accuracy · +16ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 689ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 649ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 641ms

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 (+1.7 against its own average).

Aim5.1
Utility5.1
Positioning5.0
Opening Duels0.0

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 73% 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

CT openings. Opening success drops from 47% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 624ms 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

Aim5.1
Positioning5.0
Utility5.1
Mechanics5.9
Opening Duels2.1
Win Impact3.9

Composite 4.5/10 (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-0.05−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time615ms−6ms
first ⅓ avg 622ms → last ⅓ avg 615ms
Headshot accuracy14.8%+0.5%
first ⅓ avg 14.3% → last ⅓ avg 14.8%

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

0.07Best match rating · 13–4 · anubis, 25 Sept →
39%Best headshot accuracy · 13–8 · dust2, 26 Sept →
383msFastest reaction time · 2–13 · train, 26 Sept →
13–1Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 60% over 10cacheWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%-0.04
cacheC187–1139%-0.03
nukeB158–753%-0.05
ancientA106–460%-0.02
infernoA106–460%-0.04
anubisC104–640%-0.05
dust2C104–640%-0.05
office—10–10%-0.09
train—10–10%-0.10
boulder—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

81,815Lifetime kills
0.77K/D
5,318Matches
39.0%Match win rate
33.8%Headshot %
16.1%Shot accuracy · Top 50% of Level 1 players
7,643MVPs
2,185Hours (in match)
4,943Bombs planted
1,039Bombs defused

Most-used weapons

AWP14,936
AK-4714,151
SG 5533,428
SSG 082,538
P901,796
MP71,734

Lifetime map wins

6,423dust2
5,123inferno
2,954nuke
2,835train
525cbble
453vertigo
324lake
219office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
36.4%Spray accuracy
76.7%Counter-strafing
10.5°Preaim
624msReaction time
46.8%T opening success
25.9%CT opening success
0.61Enemies flashed / flash
3.0%Flash assists
7.34HE damage / grenade
10.38Flashes / 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 14.678% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 25.9405% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0314%4 Nov →
mirage14–16-0.0512%4 Nov →
mirage6–13-0.0817%4 Nov →
ancient6–13-0.0717%1 Nov →
inferno13–80.0023%1 Nov →
mirage13–8-0.0418%1 Nov →
anubis13–9-0.1014%1 Nov →
inferno13–4-0.0829%1 Nov →
cache9–13-0.0421%1 Nov →
inferno13–9-0.056%17 Oct →
nuke11–13-0.0912%17 Oct →
cache13–6-0.0211%17 Oct →
dust25–13-0.0939%17 Oct →
nuke13–9-0.0610%17 Oct →
anubis6–13-0.126%17 Oct →
office7–13-0.0915%16 Oct →
mirage6–13-0.088%16 Oct →
cache13–6-0.0315%16 Oct →
mirage13–8-0.0116%10 Oct →
nuke8–13-0.072%10 Oct →
ancient13–50.0215%10 Oct →
dust213–4-0.1013%10 Oct →
mirage7–13-0.0719%10 Oct →
cache5–13-0.116%10 Oct →
inferno13–8-0.0316%27 Sept →
inferno13–90.0024%27 Sept →
cache13–16-0.0310%27 Sept →
cache16–140.0110%27 Sept →
ancient9–13-0.0510%27 Sept →
inferno9–13-0.0423%26 Sept →
nuke8–13-0.075%26 Sept →
cache8–13-0.069%26 Sept →
anubis13–8-0.0524%26 Sept →
train2–13-0.1013%26 Sept →
nuke13–4-0.0732%26 Sept →
dust213–8-0.0139%26 Sept →
mirage13–10-0.0116%26 Sept →
cache14–16-0.0811%26 Sept →
nuke9–13-0.0214%26 Sept →
nuke13–10-0.0315%26 Sept →
ancient13–4-0.0420%26 Sept →
dust27–13-0.0612%26 Sept →
cache13–8-0.0610%25 Sept →
mirage9–13-0.054%25 Sept →
dust28–13-0.0121%25 Sept →
mirage10–13-0.077%25 Sept →
mirage6–130.0026%25 Sept →
nuke13–10-0.036%25 Sept →
anubis13–40.0710%25 Sept →
inferno13–20.0411%24 Sept →
cache10–13-0.0619%24 Sept →
mirage13–40.049%24 Sept →
inferno6–13-0.0811%24 Sept →
anubis11–13-0.1017%19 Sept →
cache13–100.0310%19 Sept →
ancient6–130.0115%19 Sept →
anubis15–15-0.029%18 Sept →
dust213–1-0.0213%18 Sept →
nuke10–13-0.017%18 Sept →
cache10–130.0420%18 Sept →
mirage13–11-0.0712%18 Sept →
mirage5–13-0.060%17 Sept →
dust20–13-0.1015%17 Sept →
cache8–13-0.088%17 Sept →
mirage13–5-0.0232%17 Sept →
nuke16–14-0.0612%14 Sept →
mirage13–11-0.078%14 Sept →
nuke15–15-0.046%12 Sept →
dust216–13-0.039%12 Sept →
anubis10–13-0.0511%12 Sept →
mirage16–12-0.0715%12 Sept →
inferno5–13-0.0811%12 Sept →
ancient13–16-0.0411%9 Sept →
dust26–13-0.0716%9 Sept →
mirage4–13-0.0914%9 Sept →
ancient13–11-0.0310%5 Sept →
nuke13–9-0.0813%5 Sept →
cache13–10-0.0215%5 Sept →
mirage10–130.0022%5 Sept →
mirage10–130.0117%1 Sept →
ancient13–7-0.0421%1 Sept →
boulder4–13-0.029%1 Sept →
nuke10–13-0.0223%30 Aug →
mirage13–10-0.0324%30 Aug →
mirage10–13-0.0622%30 Aug →
mirage13–9-0.0111%29 Aug →
anubis5–13-0.0724%29 Aug →
nuke13–11-0.0413%29 Aug →
dust29–13-0.0213%29 Aug →
mirage13–70.0318%29 Aug →
anubis13–11-0.0515%29 Aug →
cache8–13-0.086%29 Aug →
nuke13–6-0.0321%29 Aug →
ancient13–110.0317%29 Aug →
ancient13–30.027%28 Aug →
anubis8–13-0.079%28 Aug →
inferno5–13-0.099%28 Aug →
mirage2–13-0.0614%28 Aug →
cache13–90.0614%28 Aug →
cache5–13-0.0613%23 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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