Das

Das — CS2 Stats

76561197994793462[U:1:34527734]Steam profile ↗✓ No bans

1,002Tracked matches36%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating16,512Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Mar 2026 (227 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: 16,512 -2,806 16 Aug – 21 Mar · 19 days played
16,20119,779peak 19,77916 Aug21 Mar
19,779Peak Premier in tracked matches
33Days played since 2025-08-16

Premier CS Rating

  • 3,267 below peak (19,779)
  • -615 over 90 days
  • Next: Pink band at 20,000 — 3,488 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.GGDasFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,512 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57
Positioning49
Utility31

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateTLLTLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −6.0pp headshot accuracy · +20ms reaction

Win rate down 30pp 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 714ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 688ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 678ms

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 against its own average).

Aim5.7
Utility3.1
Positioning4.9
Opening Duels3.1
Clutch4.6

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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 659ms 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

Aim5.7
Positioning4.9
Utility3.1
Mechanics8.1
Opening Duels2.6
Win Impact0.2

Composite 4.6/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time658ms−8ms
first ⅓ avg 666ms → last ⅓ avg 658ms
Headshot accuracy22.3%−2.8%
first ⅓ avg 25.1% → last ⅓ avg 22.3%

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 · 13–3 · mirage, 29 Jan →
50%Best headshot accuracy · 13–6 · nuke, 15 Sept →
453msFastest reaction time · 7–13 · nuke, 18 Mar →
13–1Biggest win · inferno, 18 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 52% over 29infernoWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
nukeB2915–1452%-0.03
infernoC2410–1442%-0.02
overpassB168–850%-0.00
ancientC146–843%-0.04
dust2—41–325%-0.01
train—41–325%-0.01
mirage—32–167%-0.00
cache—20–20%-0.00
anubis—20–20%-0.00
office—10–10%-0.05
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches
53%Win rate
0.89Avg K/D
76.6ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
41%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1953%0.8812.5
Ancient1464%0.9516.7
Nuke1471%1.0915.1
Vertigo956%0.9820.9
Dust230%0.6213.3
Train333%1.0718.0
Overpass20%0.7915.0
Anubis250%0.7310.0

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.

22.2%Headshot accuracy
27.5%Accuracy (enemy spotted)
28.0%Spray accuracy
86.4%Counter-strafing
9.5°Preaim
659msReaction time
41.2%T opening success
39.8%CT opening success
0.34Enemies flashed / flash
6.5%Flash assists
8.59HE damage / grenade
2.01Flashes / 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. 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 0.3373 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7723% — 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 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0515%30 Apr →
office8–13-0.0518%30 Apr →
cache1–13-0.0717%30 Apr →
cache12–120.0629%29 Apr →
overpass5–13-0.087%21 Mar →
ancient2–13-0.0510%21 Mar →
inferno13–90.0322%21 Mar →
ancient9–13-0.0224%21 Mar →
nuke7–13-0.0331%18 Mar →
inferno13–110.0216%14 Mar →
overpass11–130.0633%6 Mar →
nuke13–50.0725%6 Mar →
inferno9–13-0.0226%6 Mar →
nuke4–13-0.0619%15 Feb →
overpass13–70.0920%15 Feb →
anubis13–16-0.0128%1 Feb →
overpass13–4-0.0114%31 Jan →
nuke13–5-0.0124%31 Jan →
mirage9–13-0.0235%31 Jan →
nuke13–9-0.0126%29 Jan →
mirage13–30.0922%29 Jan →
inferno13–100.0119%29 Jan →
dust29–13-0.0435%29 Jan →
nuke2–13-0.0710%29 Jan →
inferno4–13-0.0424%26 Jan →
anubis2–130.0144%26 Jan →
inferno6–13-0.0625%26 Jan →
nuke10–13-0.0017%26 Jan →
ancient16–13-0.0313%26 Jan →
inferno11–13-0.0513%24 Jan →
inferno13–110.0030%24 Jan →
dust26–13-0.0925%24 Jan →
nuke7–13-0.0622%13 Jan →
ancient13–11-0.0130%13 Jan →
inferno6–13-0.0021%11 Jan →
inferno16–13-0.0629%11 Jan →
nuke12–12-0.0328%10 Jan →
dust24–13-0.0036%10 Jan →
inferno13–80.0330%10 Jan →
nuke13–9-0.0817%27 Dec →
nuke13–9-0.0625%27 Dec →
overpass13–100.0526%27 Dec →
nuke13–7-0.0620%27 Dec →
train6–13-0.0031%18 Dec →
inferno13–7-0.0141%18 Dec →
nuke6–13-0.0710%18 Dec →
overpass13–100.0630%18 Dec →
inferno13–10.0326%18 Dec →
nuke13–30.0623%18 Dec →
overpass13–11-0.0623%16 Dec →
nuke13–7-0.0427%16 Dec →
ancient10–13-0.0729%16 Dec →
overpass8–13-0.0322%14 Dec →
inferno11–13-0.0622%14 Dec →
ancient13–10-0.0823%14 Dec →
mirage13–8-0.0715%1 Dec →
inferno13–7-0.0520%1 Dec →
overpass1–6-0.0325%1 Dec →
overpass11–130.0028%1 Dec →
ancient11–13-0.0220%19 Nov →
ancient13–20.0123%19 Nov →
nuke12–120.0225%13 Nov →
inferno7–13-0.0431%13 Nov →
nuke13–4-0.0443%6 Nov →
train6–13-0.0320%6 Nov →
ancient0–13-0.1413%6 Nov →
vertigo13–60.0428%30 Oct →
nuke11–3-0.0235%30 Oct →
overpass8–13-0.0546%30 Oct →
dust213–50.0937%30 Oct →
inferno3–13-0.0529%30 Oct →
nuke1–13-0.0616%30 Oct →
inferno15–150.0329%24 Oct →
ancient2–130.0043%24 Oct →
inferno7–13-0.0326%24 Oct →
ancient11–13-0.0611%5 Oct →
inferno13–9-0.0023%5 Oct →
nuke13–11-0.0114%5 Oct →
inferno7–13-0.0430%3 Oct →
overpass16–12-0.0518%3 Oct →
nuke11–13-0.0647%3 Oct →
nuke15–15-0.0527%21 Sept →
ancient13–10-0.0137%21 Sept →
inferno9–13-0.1021%21 Sept →
train7–13-0.0216%21 Sept →
nuke5–13-0.0221%17 Sept →
overpass6–130.0020%17 Sept →
nuke13–11-0.0323%15 Sept →
nuke13–60.0450%15 Sept →
nuke15–15-0.0411%15 Sept →
inferno6–13-0.0125%4 Sept →
nuke13–20.0112%4 Sept →
inferno5–13-0.0612%4 Sept →
overpass13–10-0.0320%4 Sept →
nuke13–80.0027%2 Sept →
train13–60.0134%2 Sept →
overpass14–16-0.0014%2 Sept →
overpass13–60.0217%16 Aug →
ancient6–13-0.0418%16 Aug →
ancient13–70.0219%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.