Drass

Drass — CS2 Stats

76561197989238065[U:1:28972337]Steam profile ↗✓ No bans

1,034Tracked matches59%Win rate2020Tracked since
CSDB Rating7.2 StrongOpening Duellist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,070 → 2,070
+5Tracked matches · now 1,034
−3.4ppWin rate · 62.1% → 58.6%

Rating over time

Premier CS Rating: 26,549 +909 10 Mar – 7 Dec · 14 days played
24,71727,104peak 27,10410 Mar7 Dec
27,104Peak Premier in tracked matches
2,070Highest Faceit ELO seen on CSDB
54Days played since 2025-03-10

Faceit ELO

  • At peak — 2,070
  • Next: 2,500 ELO at 2,500 — 430 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-18
  • Level 9 first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGDrassPEAK ELO2,070csdb.gg/stats

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Performance scores

Aim79
Positioning72
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateWLLWLWWLWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · −27ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 489ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 566ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 579ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.9
Utility5.3
Positioning7.2
Opening Duels7.8
Clutch4.0

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.9
Positioning7.2
Utility5.3
Mechanics8.0
Opening Duels6.3
Win Impact7.9

Composite 7.2/10 (Strong), 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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time588ms−22ms
first ⅓ avg 610ms → last ⅓ avg 588ms
Headshot accuracy20.4%+0.0%
first ⅓ avg 20.3% → last ⅓ avg 20.4%

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

0.13Best match rating · 13–4 · mirage, 15 Mar →
40%Best headshot accuracy · 13–11 · cache, 2 Aug →
406msFastest reaction time · 9–13 · inferno, 23 Oct →
13–0Biggest win · nuke, 1 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 75% over 24ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2418–675%0.02
mirageA2112–957%0.01
infernoA1710–759%-0.00
anubisC114–736%-0.02
nukeA116–555%0.00
overpassS75–271%0.03
ancientD51–420%-0.00
cache—32–167%0.04
train—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

782Matches
52%Win rate
1.08Avg K/D
82.5ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis6951%1.0315.4
Mirage6240%1.0315.2
Dust24961%1.1716.0
Inferno3165%1.0415.7
Nuke2955%1.0315.9
Vertigo2124%1.1318.0
Ancient1850%1.0618.2
Overpass1173%0.9915.6

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.

20.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.1%Spray accuracy
85.9%Counter-strafing
9.6°Preaim
588msReaction time
47.4%T opening success
62.8%CT opening success
0.68Enemies flashed / flash
10.1%Flash assists
11.91HE damage / grenade
4.49Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0320%10 Oct →
cache9–130.0915%26 Sept →
inferno6–13-0.0226%4 Sept →
mirage13–40.0712%4 Sept →
nuke6–13-0.0828%29 Aug →
cache13–110.0140%2 Aug →
mirage13–30.1224%2 Aug →
ancient6–130.0012%2 Aug →
dust213–50.0014%29 Jul →
ancient5–13-0.0021%20 Jun →
cache13–100.0321%30 Apr →
nuke13–10-0.0025%23 Apr →
dust211–13-0.0120%23 Apr →
dust213–1-0.0027%23 Apr →
mirage13–40.1322%15 Mar →
dust213–11-0.0420%15 Mar →
anubis4–13-0.0320%21 Feb →
overpass13–2-0.029%21 Feb →
mirage15–150.0125%21 Feb →
nuke16–13-0.0322%27 Jan →
inferno13–11-0.0711%26 Jan →
dust211–130.0629%26 Jan →
dust28–130.0017%16 Jan →
mirage13–10-0.0212%7 Dec →
dust28–130.0122%7 Dec →
dust213–40.0526%22 Nov →
inferno16–120.0418%20 Nov →
dust213–50.0616%20 Nov →
ancient4–13-0.0319%20 Nov →
inferno7–130.0223%19 Nov →
dust213–70.0416%19 Nov →
ancient22–180.0022%16 Nov →
ancient15–150.0220%23 Oct →
dust213–10-0.0413%23 Oct →
inferno9–13-0.0515%23 Oct →
mirage15–150.0123%23 Oct →
dust213–90.0618%23 Oct →
mirage13–60.0522%22 Oct →
mirage7–13-0.0313%22 Oct →
inferno16–12-0.0220%22 Oct →
overpass13–70.0322%22 Oct →
dust213–50.0928%17 Sept →
dust213–70.0517%17 Sept →
mirage13–40.0830%17 Sept →
inferno13–60.1118%11 Sept →
dust213–60.0719%10 Sept →
nuke8–13-0.0313%10 Sept →
overpass10–13-0.0017%23 Aug →
overpass13–50.0814%23 Aug →
dust216–13-0.0213%23 Aug →
train13–90.0424%21 Aug →
nuke13–80.0528%21 Aug →
mirage10–13-0.0620%20 Aug →
inferno13–40.0117%14 Aug →
mirage13–70.0426%14 Aug →
dust213–100.0628%14 Aug →
overpass13–60.0517%13 Aug →
inferno13–70.0113%13 Aug →
mirage13–70.0622%31 Jul →
nuke13–110.0010%30 Jul →
overpass13–70.0912%30 Jul →
inferno5–130.0227%30 Jul →
overpass14–160.0216%30 Jul →
dust216–13-0.0324%7 Jun →
anubis14–16-0.0224%31 May →
mirage16–13-0.0531%30 May →
inferno13–7-0.0319%28 May →
inferno13–70.0437%17 May →
dust213–11-0.0716%17 May →
mirage10–13-0.0325%1 May →
nuke13–00.0328%1 May →
anubis6–13-0.0710%1 May →
dust24–13-0.0117%30 Apr →
mirage1–13-0.0623%27 Apr →
inferno13–11-0.0319%27 Apr →
anubis13–70.0910%27 Apr →
anubis13–11-0.0020%26 Apr →
dust213–110.0121%26 Apr →
nuke13–40.0612%26 Apr →
anubis13–60.0124%26 Apr →
inferno11–13-0.0118%26 Apr →
mirage13–160.0517%18 Apr →
anubis8–13-0.0210%17 Apr →
nuke11–13-0.0217%16 Apr →
mirage5–130.0425%13 Apr →
dust28–13-0.0811%11 Apr →
mirage13–11-0.0335%10 Apr →
inferno19–170.0319%5 Apr →
anubis11–130.0021%5 Apr →
inferno6–13-0.0124%2 Apr →
nuke15–150.0722%2 Apr →
nuke9–13-0.0134%27 Mar →
anubis10–13-0.0816%26 Mar →
dust213–70.0621%26 Mar →
mirage13–8-0.0121%22 Mar →
inferno3–13-0.0518%13 Mar →
mirage10–13-0.0920%11 Mar →
dust213–80.0319%11 Mar →
anubis5–13-0.0417%10 Mar →
mirage13–60.0425%10 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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