drohrig

drohrig — CS2 Stats

76561198146555651[U:1:186289923]Steam profile ↗✓ No bans

1,537Tracked matches57%Win rate2021Tracked since
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating15,926Purple band · top ~24.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−632Premier CS Rating · 16,558 → 15,926

Rating over time

Premier CS Rating: 15,926 +364 3 Aug – 11 Oct · 52 days played
13,85716,558peak 16,5583 Aug11 Oct
16,566Peak Premier in tracked matches
52Days played since 2026-08-03

Premier CS Rating

  • 632 below peak (16,558)
  • +74 over 30 days · steady
  • Next: Pink band at 20,000 — 4,074 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGdrohrigPREMIER15,926 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning61
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLLWWLLWWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.0pp headshot accuracy · +40ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 592ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 639ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility6.0
Positioning6.1
Opening Duels4.5

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

jL

Plays most like jL 74% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 641ms 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

Aim5.2
Positioning6.1
Utility6.0
Mechanics6.7
Opening Duels6.5
Win Impact7.4

Composite 6.1/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time647ms+54ms
first ⅓ avg 592ms → last ⅓ avg 647ms
Headshot accuracy19.1%+2.9%
first ⅓ avg 16.2% → last ⅓ avg 19.1%

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

0.11Best match rating · 13–5 · ancient, 7 Oct →
36%Best headshot accuracy · 1–13 · inferno, 29 Aug →
422msFastest reaction time · 13–5 · ancient, 4 Sept →
13–0Biggest win · inferno, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
12–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 75% over 8anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%-0.01
dust2B189–950%0.00
infernoS1510–567%0.00
ancientA148–657%-0.03
anubisC135–838%-0.01
cacheB115–645%-0.02
nukeS86–275%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis 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.

19.4%Headshot accuracy
27.6%Accuracy (enemy spotted)
29.1%Spray accuracy
80.3%Counter-strafing
9.0°Preaim
641msReaction time
66.2%T opening success
45.9%CT opening success
0.58Enemies flashed / flash
13.9%Flash assists
11.17HE damage / grenade
5.03Flashes / match

Recommended for you

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0428%11 Oct →
ancient1–13-0.0521%11 Oct →
anubis13–9-0.0117%10 Oct →
inferno13–70.0124%10 Oct →
cache10–13-0.0715%10 Oct →
mirage1–13-0.0820%9 Oct →
inferno13–90.0418%9 Oct →
cache13–70.0219%8 Oct →
mirage7–13-0.0417%8 Oct →
anubis13–70.039%7 Oct →
ancient13–50.1114%7 Oct →
cache13–6-0.0128%5 Oct →
anubis7–13-0.0217%4 Oct →
dust215–150.0824%3 Oct →
inferno13–110.0425%3 Oct →
mirage13–50.0016%3 Oct →
dust28–13-0.0724%3 Oct →
dust213–20.0312%2 Oct →
ancient13–70.0119%2 Oct →
nuke13–60.019%2 Oct →
dust213–40.0524%2 Oct →
dust24–130.0026%2 Oct →
cache14–160.0427%2 Oct →
dust215–150.0317%1 Oct →
cache13–50.0215%30 Sept →
ancient9–13-0.129%30 Sept →
ancient13–11-0.0321%29 Sept →
nuke16–130.0216%28 Sept →
dust214–160.0123%27 Sept →
cache7–13-0.0423%27 Sept →
nuke7–13-0.0617%25 Sept →
dust213–10-0.0018%25 Sept →
ancient11–13-0.0321%25 Sept →
anubis11–13-0.0518%25 Sept →
anubis11–13-0.0118%25 Sept →
inferno13–10-0.0513%25 Sept →
mirage13–110.0522%25 Sept →
dust213–8-0.0519%25 Sept →
inferno9–13-0.0521%24 Sept →
cache10–13-0.0614%24 Sept →
inferno6–130.0631%23 Sept →
mirage13–5-0.0527%22 Sept →
mirage12–160.0121%21 Sept →
inferno13–90.0526%20 Sept →
nuke15–15-0.0515%19 Sept →
mirage13–60.0217%19 Sept →
ancient4–13-0.0426%19 Sept →
dust211–130.0314%18 Sept →
inferno13–100.0317%15 Sept →
mirage13–7-0.0518%12 Sept →
ancient13–11-0.0217%11 Sept →
mirage13–110.0218%9 Sept →
nuke13–11-0.0811%7 Sept →
ancient6–13-0.0911%7 Sept →
inferno10–13-0.0311%6 Sept →
mirage2–13-0.0516%6 Sept →
anubis8–130.0214%6 Sept →
ancient13–9-0.0429%6 Sept →
dust213–1-0.0422%5 Sept →
anubis13–30.0529%5 Sept →
mirage9–13-0.0114%4 Sept →
cache13–11-0.0215%4 Sept →
ancient13–50.0012%4 Sept →
anubis7–13-0.0314%4 Sept →
dust213–60.0020%4 Sept →
inferno4–13-0.0625%3 Sept →
mirage13–90.0523%1 Sept →
inferno13–70.0612%31 Aug →
dust211–130.0321%30 Aug →
anubis13–10-0.0415%30 Aug →
nuke13–7-0.0414%29 Aug →
inferno1–13-0.0536%29 Aug →
mirage13–160.0422%27 Aug →
mirage4–13-0.0313%27 Aug →
anubis5–13-0.0115%26 Aug →
cache13–5-0.0118%23 Aug →
mirage9–13-0.0611%23 Aug →
dust213–110.0120%23 Aug →
mirage16–14-0.0125%23 Aug →
nuke13–70.0212%21 Aug →
inferno13–9-0.0520%20 Aug →
mirage5–13-0.0615%19 Aug →
dust213–100.0815%18 Aug →
anubis13–8-0.0223%17 Aug →
anubis10–13-0.0213%17 Aug →
nuke13–110.0822%16 Aug →
ancient13–5-0.029%16 Aug →
cache11–13-0.052%15 Aug →
anubis3–13-0.0510%14 Aug →
mirage13–100.098%14 Aug →
dust211–13-0.0711%14 Aug →
cache11–13-0.0120%14 Aug →
mirage4–10-0.0318%10 Aug →
inferno13–0-0.0315%9 Aug →
ancient16–140.0015%9 Aug →
dust213–11-0.0220%9 Aug →
ancient5–13-0.0614%8 Aug →
mirage14–16-0.0314%5 Aug →
mirage11–13-0.0117%4 Aug →
inferno13–90.0521%3 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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