Draugr

Draugr — CS2 Stats

US76561198156606548[U:1:196340820]Steam profile ↗✓ No bans

622Tracked matches47%Win rate2024Tracked since
CSDB Rating2.6 LearningPositional Player
Premier CS Rating8,402Light Blue band · top ~62.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Aug 2026 (77 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: 8,402 +3,268 3 Apr – 2 Aug · 13 days played
4,99910,310peak 10,3103 Apr2 Aug
10,431Peak Premier in tracked matches
23Days played since 2026-04-03

Premier CS Rating

  • 1,908 below peak (10,310)
  • Next: Blue band at 10,000 — 1,598 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGDraugrPREMIER8,402 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim21
Positioning33
Utility21

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateLLLWLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +3.5pp headshot accuracy · +22ms 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 -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 672ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 695ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 684ms

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 (+1.5 against its own average).

Aim2.1
Utility2.1
Positioning3.3
Opening Duels0.0

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 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

Reaction time. 698ms 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

Aim2.1
Positioning3.3
Utility2.1
Mechanics6.0
Opening Duels0.0
Win Impact3.9

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time673ms+4ms
first ⅓ avg 669ms → last ⅓ avg 673ms
Headshot accuracy10.3%−2.3%
first ⅓ avg 12.6% → last ⅓ avg 10.3%

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

0.09Best match rating · 13–1 · ancient, 25 May →
43%Best headshot accuracy · 9–13 · cache, 18 Jul →
453msFastest reaction time · 4–10 · inferno, 25 May →
13–1Biggest win · ancient, 25 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.05
mirageD133–1023%-0.05
infernoD113–827%-0.04
nukeA106–460%-0.03
ancientA106–460%-0.02
cacheD72–529%-0.06
anubisS75–271%-0.06
vertigoC52–340%-0.04
officeD51–420%-0.08
overpass—32–167%-0.02
train—31–233%-0.06

Across the last 100 tracked matches.

Skill profile

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

10.8%Headshot accuracy
26.1%Accuracy (enemy spotted)
27.0%Spray accuracy
77.0%Counter-strafing
12.3°Preaim
698msReaction time
25.1%T opening success
29.0%CT opening success
0.17Enemies flashed / flash
0.0%Flash assists
13.16HE damage / grenade
1.84Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2901° — above the 12° mark we flag

    Aim Training →
  2. 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 10.8146% — below the 15% mark we flag

    Aim Training →
  3. 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 0.1683 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.060%2 Aug →
mirage14–16-0.0621%26 Jul →
mirage11–13-0.076%26 Jul →
dust213–11-0.0713%18 Jul →
cache9–13-0.0643%18 Jul →
inferno6–13-0.108%18 Jul →
cache13–16-0.1311%16 Jul →
anubis13–6-0.0612%16 Jul →
anubis13–30.0510%16 Jul →
inferno5–13-0.1015%16 Jul →
inferno1–110.0712%15 Jul →
anubis4–13-0.113%14 Jul →
ancient13–60.0315%14 Jul →
dust210–130.0315%14 Jul →
nuke13–10-0.013%14 Jul →
ancient13–9-0.0211%14 Jul →
anubis13–9-0.0913%14 Jul →
mirage13–80.0212%14 Jul →
ancient8–13-0.0514%13 Jul →
dust27–13-0.076%13 Jul →
nuke16–12-0.056%13 Jul →
inferno10–13-0.114%13 Jul →
ancient13–10-0.0311%13 Jul →
dust216–14-0.0710%13 Jul →
nuke7–13-0.0310%13 Jul →
mirage13–6-0.040%13 Jul →
nuke13–10-0.0710%13 Jul →
dust22–13-0.079%13 Jul →
inferno0–3-0.050%13 Jul →
ancient13–10-0.067%13 Jul →
nuke13–6-0.0310%13 Jul →
inferno11–13-0.0816%13 Jul →
inferno13–6-0.026%13 Jul →
mirage7–13-0.057%13 Jul →
dust27–13-0.095%12 Jul →
inferno13–70.044%12 Jul →
ancient9–13-0.045%12 Jul →
anubis13–5-0.0917%12 Jul →
mirage13–10-0.0811%12 Jul →
mirage12–12-0.1111%12 Jul →
dust213–10-0.0317%12 Jul →
mirage4–13-0.0814%12 Jul →
overpass13–8-0.048%12 Jul →
dust29–13-0.0622%12 Jul →
vertigo8–13-0.0611%22 Jun →
dust216–14-0.0415%22 Jun →
mirage8–13-0.0411%22 Jun →
office6–13-0.135%13 Jun →
cache2–13-0.0417%13 Jun →
mirage10–13-0.078%10 Jun →
dust213–11-0.0415%10 Jun →
mirage5–130.0420%10 Jun →
nuke13–100.0012%8 Jun →
dust27–13-0.1223%26 May →
dust212–12-0.018%26 May →
dust211–13-0.099%26 May →
dust212–12-0.0514%26 May →
dust25–13-0.108%26 May →
dust213–8-0.0312%26 May →
vertigo8–13-0.058%25 May →
ancient6–13-0.0511%25 May →
inferno4–10-0.1012%25 May →
office11–13-0.067%25 May →
dust213–7-0.0427%25 May →
ancient13–10.0911%25 May →
anubis6–1-0.0414%24 May →
dust213–9-0.0310%24 May →
nuke4–13-0.0210%24 May →
dust213–7-0.0518%23 May →
nuke13–110.0510%23 May →
office12–12-0.0515%23 May →
ancient13–5-0.028%23 May →
cache13–8-0.0515%12 May →
cache8–13-0.088%3 May →
train1–13-0.1011%3 May →
train13–1-0.057%3 May →
dust213–80.017%3 May →
inferno13–6-0.0212%3 May →
vertigo8–13-0.067%3 May →
office11–13-0.102%30 Apr →
nuke11–13-0.088%30 Apr →
cache4–130.0111%30 Apr →
inferno12–120.0212%30 Apr →
dust27–13-0.0516%30 Apr →
cache13–6-0.0611%29 Apr →
train12–12-0.0418%12 Apr →
vertigo13–6-0.019%12 Apr →
dust213–5-0.0818%12 Apr →
ancient12–120.0114%12 Apr →
vertigo13–7-0.0411%12 Apr →
overpass13–80.0042%12 Apr →
dust211–13-0.077%12 Apr →
office13–3-0.0443%4 Apr →
dust213–11-0.0218%4 Apr →
overpass10–13-0.046%4 Apr →
dust213–10-0.090%4 Apr →
anubis1–13-0.0519%4 Apr →
dust211–13-0.083%4 Apr →
mirage9–13-0.0210%3 Apr →
mirage10–13-0.0913%3 Apr →

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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