✪ drunk. | @IEM Krakow 2027

✪ drunk. | @IEM Krakow 2027 — CS2 Stats

DE76561199415804246[U:1:1455538518]Steam profile ↗✓ No bans

2,494Tracked matches59%Win rate2023Tracked since
2,579Hours in CS11Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating21,471Top 50% of 200,982 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#60566 of 247846 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (3 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: 21,471 +1,471 7 Aug – 28 Sept · 15 days played
20,00022,512peak 22,5127 Aug28 Sept
22,512Peak Premier in tracked matches
22Days played since 2026-08-03

Premier CS Rating

  • 1,041 below peak (22,512)
  • +325 over 30 days · steady
  • Next: Red band at 25,000 — 3,529 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.5%46.9%49.2%8.8% short
Shot accuracy2.7%13.0%13.4%10.6% short
Kill/death ratio1.001.081.120.13 short
Match win rate47.0%46.7%48.5%1.5% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GG✪ drunk. | @IEM Krakow 20…PREMIER21,471 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning49
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLLLLWWLWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · −31ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 582ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

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 (+2.8 against its own average).

Aim6.1
Utility7.0
Positioning4.9
Opening Duels0.3
Clutch4.8

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

Twistzz

Plays most like Twistzz 71% 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

Reaction time. 579ms 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

Aim6.1
Positioning4.9
Utility7.0
Mechanics4.7
Opening Duels2.0
Win Impact7.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time602ms−4ms
first ⅓ avg 606ms → last ⅓ avg 602ms
Headshot accuracy16.4%−2.8%
first ⅓ avg 19.2% → last ⅓ avg 16.4%

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

0.32Best match rating · 9–1 · nuke, 8 Aug →
100%Best headshot accuracy · 0–13 · nuke, 21 Aug →
406msFastest reaction time · 13–10 · anubis, 30 Aug →
13–1Biggest win · mirage, 21 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA1810–856%0.00
dust2B158–753%0.01
cacheB147–750%0.01
infernoC125–742%-0.01
nukeB115–645%0.04
anubisA116–555%0.02
ancientS97–278%0.01
vertigo—41–325%-0.02
office—30–30%0.02
train—21–150%0.12
shelter—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,924Lifetime kills
1.00K/D
2,683Matches
47.0%Match win rate · Top 50% of Pink band
40.5%Headshot %
2.7%Shot accuracy
5,377MVPs
1,044Hours (in match)
3,912Bombs planted
691Bombs defused

Most-used weapons

Lifetime map wins

4,506dust2
4,173inferno
2,996nuke
931office
883vertigo
628train
18cbble
16italy

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

Faceit stats

Combat

273Matches
52%Win rate
1.04Avg K/D
73.6ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust25060%0.9614.3
Inferno4856%1.0512.3
Mirage4840%0.9513.8
Ancient4661%1.0514.3
Anubis4042%1.2217.8
Nuke2357%1.1714.9
Overpass560%0.9215.0
Train450%0.8217.3

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.

16.6%Headshot accuracy
35.2%Accuracy (enemy spotted)
36.8%Spray accuracy
71.2%Counter-strafing
10.5°Preaim
579msReaction time
38.7%T opening success
37.7%CT opening success
0.60Enemies flashed / flash
5.3%Flash assists
7.95HE damage / grenade
18.12Flashes / 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 38.6777% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.0412%28 Sept →
ancient6–130.0121%28 Sept →
nuke11–13-0.0313%28 Sept →
cache10–130.0119%28 Sept →
inferno0–13-0.0019%28 Sept →
vertigo13–5-0.0121%28 Sept →
dust213–90.0618%28 Sept →
mirage7–130.0723%28 Sept →
cache13–50.0520%22 Sept →
mirage13–1-0.0012%21 Sept →
ancient13–11-0.0117%21 Sept →
anubis16–120.0415%21 Sept →
mirage13–70.0415%21 Sept →
cache10–13-0.0118%21 Sept →
ancient13–110.0214%21 Sept →
mirage13–100.0714%18 Sept →
anubis13–70.0818%16 Sept →
mirage13–11-0.0316%16 Sept →
mirage5–130.0113%16 Sept →
nuke5–90.025%16 Sept →
inferno13–11-0.0319%15 Sept →
ancient4–4-0.0113%15 Sept →
dust213–8-0.0213%15 Sept →
cache8–13-0.0121%15 Sept →
anubis4–13-0.0217%15 Sept →
nuke5–9-0.1919%14 Sept →
vertigo3–9-0.0331%14 Sept →
inferno4–13-0.0415%14 Sept →
dust213–80.0517%14 Sept →
nuke7–9-0.019%4 Sept →
anubis13–100.0411%30 Aug →
dust210–13-0.0519%30 Aug →
inferno12–120.0116%30 Aug →
anubis3–13-0.0619%29 Aug →
inferno13–20.0012%29 Aug →
cache13–5-0.035%29 Aug →
ancient13–90.0115%29 Aug →
mirage15–15-0.0210%29 Aug →
nuke6–130.0518%29 Aug →
ancient16–12-0.0115%29 Aug →
dust211–130.0113%29 Aug →
dust213–7-0.0418%28 Aug →
dust213–100.0117%28 Aug →
cache11–13-0.0315%28 Aug →
dust213–20.0522%28 Aug →
cache13–7-0.0318%26 Aug →
mirage5–13-0.0319%26 Aug →
cache13–70.0426%26 Aug →
anubis13–100.1030%21 Aug →
nuke0–130.01100%21 Aug →
mirage10–13-0.0023%21 Aug →
dust22–130.0813%21 Aug →
ancient13–70.0314%20 Aug →
cache10–13-0.0220%20 Aug →
anubis4–13-0.0616%20 Aug →
inferno10–13-0.0422%20 Aug →
cache13–8-0.0233%20 Aug →
mirage13–80.0124%20 Aug →
mirage13–10.0528%20 Aug →
inferno3–13-0.0335%14 Aug →
train7–130.1320%13 Aug →
ancient7–13-0.0114%13 Aug →
dust24–13-0.0319%13 Aug →
inferno12–120.0615%13 Aug →
inferno13–2-0.0917%13 Aug →
mirage13–9-0.0218%12 Aug →
inferno13–10.0216%12 Aug →
train13–40.1022%12 Aug →
office7–13-0.0226%8 Aug →
office5–80.0928%8 Aug →
cache13–10.0218%8 Aug →
anubis13–60.0428%8 Aug →
nuke9–10.3216%8 Aug →
vertigo6–9-0.0513%8 Aug →
mirage13–6-0.0314%8 Aug →
ancient13–80.0117%8 Aug →
nuke13–100.0221%8 Aug →
cache8–13-0.0616%8 Aug →
anubis13–100.0318%8 Aug →
cache13–10.1826%8 Aug →
inferno5–13-0.0223%8 Aug →
mirage8–13-0.0313%8 Aug →
dust213–80.0217%8 Aug →
dust213–60.0317%8 Aug →
dust215–150.0316%7 Aug →
mirage11–130.0118%7 Aug →
dust29–130.0119%6 Aug →
anubis11–130.0119%6 Aug →
mirage13–5-0.0425%6 Aug →
nuke13–70.0716%6 Aug →
anubis12–120.0223%6 Aug →
nuke9–20.1315%5 Aug →
dust27–130.0113%5 Aug →
mirage4–13-0.0419%5 Aug →
cache1–130.0220%5 Aug →
inferno13–80.0720%5 Aug →
office11–13-0.0124%3 Aug →
vertigo3–40.0212%3 Aug →
shelter13–10.0222%3 Aug →
nuke13–70.0621%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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