Dss

Dss — CS2 Stats

76561198037902201[U:1:77636473]Steam profile ↗✓ No bans

510Tracked matches34%Win rate2020Tracked since
CSDB Rating3.2 LearningPositional Player
CSDB Leaderboard#93490 of 227426 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 15 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,530 +5,464 15 Apr4 Jul · 12 days played
13,06622,237peak 22,23715 Apr4 Jul
22,237Peak Premier in tracked matches
34Days played since 2025-04-15

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

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CSDB.GGDssFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning43
Utility12

0–100 skill scores via Leetify.

Recent form

COLD36595Last 10036%Win rateWLLLWWTTLL

Last 10 vs previous 10: 0pp win rate · +0.08 avg rating · −0.6pp headshot accuracy · +40ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 555ms

Last 10

  • 352 · 30% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 14%
  • Avg reaction 626ms

Last 20

  • 6122 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim4.5
Utility1.2
Positioning4.3
Opening Duels1.5
Clutch3.0

Strong CT-side openerLimited 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

iM

Plays most like iM 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5
Positioning4.3
Utility1.2
Mechanics4.0
Opening Duels1.7
Win Impact0.0

Composite 3.2/10 (Learning), 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 rating0.02+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time592ms−29ms
first ⅓ avg 621ms → last ⅓ avg 592ms
Headshot accuracy14.4%+0.2%
first ⅓ avg 14.2% → last ⅓ avg 14.4%

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

0.21Best match rating · 9–3 · vertigo, 9 Sept
26%Best headshot accuracy · 13–3 · mirage, 1 Jun
461msFastest reaction time · 11–13 · anubis, 18 Jun
12–0Biggest win · nuke, 27 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
77In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 65% over 17dust2Weakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB21101148%-0.01
mirageS1711665%-0.01
nukeC125742%-0.01
anubisD102820%-0.01
ancientD82625%0.01
dust2D8080%-0.02
vertigoA53260%0.09
officeD51420%0.03
overpass41325%0.01
eldorado3030%-0.07
poseidon3030%0.11
cache31233%-0.00
debris1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

101Matches
56%Win rate
0.97Avg K/D
78.7ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1958%0.7611.9
Inferno967%1.1418.2
Anubis944%0.8113.9
Nuke825%0.8514.1
Ancient771%1.0715.3
Cache667%0.9217.2
Dust2617%0.8212.0
Overpass333%0.9418.7

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.

13.7%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.7%Spray accuracy
68.0%Counter-strafing
11.9°Preaim
579msReaction time
20.1%T opening success
43.8%CT opening success
0.14Enemies flashed / flash
0.0%Flash assists
6.21HE damage / grenade
0.45Flashes / 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. 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 13.6836% — below the 15% mark we flag

    Aim Training
  2. 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 0.1401 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 20.0803% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo9–30.2112%9 Sept
eldorado1–9-0.195%9 Sept
poseidon3–90.0421%9 Sept
inferno2–9-0.0711%6 Sept
nuke9–60.2012%6 Sept
vertigo9–20.1922%6 Sept
overpass8–80.1014%6 Sept
poseidon8–80.137%6 Sept
poseidon5–90.1724%31 Aug
debris5–90.0316%31 Aug
eldorado1–9-0.0918%31 Aug
eldorado7–90.0721%31 Aug
inferno9–130.0610%8 Aug
ancient3–13-0.0019%8 Aug
anubis6–13-0.029%8 Aug
ancient3–13-0.0013%8 Aug
anubis13–9-0.0419%8 Aug
cache13–5-0.0414%12 Jul
inferno13–90.0218%12 Jul
anubis9–130.0311%11 Jul
inferno13–4-0.0413%11 Jul
dust26–13-0.0516%11 Jul
nuke13–9-0.0410%11 Jul
ancient7–13-0.019%9 Jul
anubis13–80.0317%9 Jul
ancient7–130.0423%5 Jul
nuke8–13-0.0310%4 Jul
dust29–130.0715%4 Jul
office7–130.057%4 Jul
overpass6–13-0.0414%4 Jul
inferno6–13-0.028%4 Jul
mirage10–13-0.0025%1 Jul
office10–13-0.0614%30 Jun
inferno12–120.1218%30 Jun
inferno13–11-0.0210%29 Jun
mirage6–130.0523%29 Jun
mirage9–13-0.0518%29 Jun
nuke13–11-0.017%28 Jun
office6–13-0.035%27 Jun
nuke13–10-0.0017%27 Jun
vertigo7–13-0.065%27 Jun
inferno13–100.0317%27 Jun
office11–130.027%27 Jun
mirage13–80.0115%27 Jun
vertigo5–130.0021%27 Jun
nuke12–0-0.0112%27 Jun
mirage12–120.0212%27 Jun
cache3–13-0.0114%27 Jun
nuke2–13-0.0318%27 Jun
office13–50.1812%27 Jun
inferno13–30.028%27 Jun
dust24–13-0.0512%27 Jun
vertigo13–30.0916%26 Jun
inferno13–110.0316%26 Jun
mirage10–13-0.0420%24 Jun
dust27–13-0.0614%22 Jun
nuke12–16-0.0516%22 Jun
nuke6–13-0.0518%21 Jun
dust25–13-0.0213%21 Jun
anubis14–16-0.0111%20 Jun
dust211–130.0523%18 Jun
inferno10–130.015%18 Jun
anubis11–13-0.068%18 Jun
ancient13–60.0315%17 Jun
cache17–190.0416%17 Jun
inferno6–13-0.0911%14 Jun
inferno9–13-0.0017%13 Jun
overpass10–130.019%13 Jun
mirage11–130.0411%3 Jun
inferno10–130.0318%3 Jun
anubis7–130.0518%2 Jun
inferno13–11-0.0313%1 Jun
mirage13–30.0626%1 Jun
dust26–13-0.120%1 Jun
mirage13–4-0.0325%1 Jun
ancient9–130.0219%1 Jun
nuke10–13-0.0816%31 May
mirage13–4-0.037%31 May
mirage5–4-0.0024%31 May
anubis6–13-0.077%31 May
inferno13–10-0.0012%31 May
overpass13–8-0.0113%31 May
inferno13–4-0.0719%31 May
mirage13–40.0619%31 May
mirage13–5-0.0421%26 May
inferno13–50.008%26 May
inferno9–13-0.078%9 Apr
mirage13–7-0.0310%9 Apr
anubis9–13-0.0014%7 Apr
nuke7–13-0.0110%7 Apr
ancient5–13-0.0120%3 Apr
dust21–130.0017%3 Apr
mirage13–11-0.0513%28 Mar
ancient13–60.019%28 Mar
nuke7–130.0317%28 Mar
anubis4–13-0.0413%6 Dec
mirage13–110.0220%6 Dec
inferno15–15-0.0515%15 Apr
inferno10–13-0.058%15 Apr
mirage13–9-0.069%15 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 →