Drom

Drom — CS2 Stats

76561198083450344[U:1:123184616]Steam profile ↗✓ No bans

1,154Tracked matches62%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating12,425Blue band · top ~42% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (9 days ago). 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: 12,425 +8,463 22 Aug – 2 Oct · 32 days played
3,84412,654peak 12,65422 Aug2 Oct
12,734Peak Premier in tracked matches
33Days played since 2026-08-22

Premier CS Rating

  • 229 below peak (12,654)
  • +5,055 over 30 days · improving
  • Next: Purple band at 15,000 — 2,575 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-08

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

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CSDB.GGDromPREMIER12,425 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning72
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateLWWWWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.7pp headshot accuracy · +7ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 9%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 7%
  • Avg reaction 578ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 9%
  • Avg reaction 575ms

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 (+1.7 against its own average).

Aim6.6
Utility4.0
Positioning7.2
Opening Duels5.3

Limited 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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 587ms 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

Aim6.6
Positioning7.2
Utility4.0
Mechanics5.6
Opening Duels6.0
Win Impact9.0

Composite 6.0/10 (Solid), 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 rating0.04+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time598ms−22ms
first ⅓ avg 620ms → last ⅓ avg 598ms
Headshot accuracy9.8%−2.2%
first ⅓ avg 12.0% → last ⅓ avg 9.8%

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

0.14Best match rating · 13–6 · inferno, 15 Sept →
29%Best headshot accuracy · 13–9 · inferno, 4 Sept →
438msFastest reaction time · 11–3 · inferno, 22 Sept →
13–1Biggest win · anubis, 8 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 86% over 7nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.03
infernoA2213–959%0.05
mirageS1712–571%0.05
ancientS118–373%0.06
nukeC104–640%0.03
anubisS76–186%0.06
cacheA53–260%0.00
train—21–150%-0.03
overpass—10–10%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.7%Headshot accuracy
37.1%Accuracy (enemy spotted)
41.1%Spray accuracy
75.1%Counter-strafing
8.7°Preaim
587msReaction time
55.5%T opening success
52.9%CT opening success
0.51Enemies flashed / flash
8.0%Flash assists
15.59HE damage / grenade
1.68Flashes / 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 9.701% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6815 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–12-0.018%2 Oct →
cache13–80.0310%2 Oct →
inferno13–9-0.005%2 Oct →
anubis13–100.1012%1 Oct →
dust213–30.0110%1 Oct →
nuke13–80.149%1 Oct →
ancient13–160.059%29 Sept →
inferno13–40.133%29 Sept →
mirage5–130.032%27 Sept →
dust24–13-0.066%25 Sept →
nuke5–13-0.047%24 Sept →
dust28–130.018%24 Sept →
mirage6–130.0821%24 Sept →
dust213–110.0815%22 Sept →
train13–5-0.0110%22 Sept →
ancient13–100.023%22 Sept →
inferno11–3-0.030%22 Sept →
inferno13–70.1117%22 Sept →
mirage13–50.0417%22 Sept →
dust211–13-0.0313%21 Sept →
inferno10–13-0.076%21 Sept →
dust215–150.088%20 Sept →
dust213–110.0318%20 Sept →
nuke13–70.0914%20 Sept →
cache10–13-0.048%20 Sept →
cache13–50.028%20 Sept →
dust213–80.0611%19 Sept →
mirage13–50.0510%19 Sept →
dust214–160.076%19 Sept →
ancient13–80.0613%19 Sept →
mirage13–100.0811%18 Sept →
ancient13–100.088%18 Sept →
dust213–60.1415%18 Sept →
inferno13–6-0.0117%18 Sept →
dust210–130.0918%18 Sept →
mirage13–90.0912%18 Sept →
nuke7–13-0.0514%18 Sept →
ancient7–130.1017%17 Sept →
inferno10–130.1019%17 Sept →
ancient13–90.0212%17 Sept →
ancient13–90.129%16 Sept →
inferno13–30.1122%16 Sept →
inferno13–60.1412%15 Sept →
nuke5–13-0.078%15 Sept →
inferno10–130.0314%14 Sept →
ancient13–60.108%14 Sept →
nuke10–130.099%13 Sept →
nuke13–11-0.026%13 Sept →
ancient13–160.028%12 Sept →
mirage13–80.1012%12 Sept →
cache14–160.0011%12 Sept →
mirage7–130.0410%11 Sept →
mirage13–90.0716%11 Sept →
mirage13–60.0421%11 Sept →
mirage13–60.046%11 Sept →
inferno16–120.0313%11 Sept →
inferno16–120.038%11 Sept →
anubis10–130.0713%10 Sept →
overpass12–120.034%9 Sept →
inferno12–120.105%9 Sept →
dust211–130.0521%9 Sept →
inferno3–130.0215%8 Sept →
nuke11–130.0912%8 Sept →
anubis13–11-0.028%8 Sept →
dust213–70.0411%8 Sept →
inferno8–130.0515%8 Sept →
anubis13–10.0520%8 Sept →
ancient13–7-0.0121%6 Sept →
mirage10–13-0.0214%6 Sept →
dust25–13-0.0913%6 Sept →
dust20–13-0.099%5 Sept →
mirage2–13-0.0614%5 Sept →
mirage13–80.069%5 Sept →
nuke9–13-0.038%4 Sept →
anubis13–60.0814%4 Sept →
inferno13–90.0629%4 Sept →
inferno15–150.107%3 Sept →
dust22–13-0.059%3 Sept →
dust213–60.079%3 Sept →
inferno13–80.109%2 Sept →
mirage13–50.1115%2 Sept →
mirage13–80.005%1 Sept →
anubis13–100.0513%1 Sept →
dust210–130.0616%1 Sept →
cache13–90.0216%31 Aug →
mirage13–50.099%31 Aug →
ancient13–80.109%31 Aug →
dust25–130.0313%30 Aug →
dust213–10.104%30 Aug →
dust213–10-0.0217%30 Aug →
inferno13–30.106%30 Aug →
dust215–150.0610%30 Aug →
dust27–40.048%30 Aug →
dust213–80.1015%30 Aug →
inferno13–80.038%29 Aug →
anubis13–100.075%29 Aug →
dust215–15-0.0111%29 Aug →
inferno11–130.0710%26 Aug →
train4–13-0.0526%25 Aug →
nuke13–100.0514%22 Aug →

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 →

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