☯ Dorian.

☯ Dorian. — CS2 Stats

NE76561198168848852[U:1:208583124]Steam profile ↗✓ No bans

679Tracked matches63%Win rate2020Tracked since
3,319Hours in CS
CSDB Rating6.4 SolidSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 679 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,644 -1,959 8 Dec – 16 Sept · 31 days played
22,30826,603peak 26,6038 Dec16 Sept
Faceit ELO: 2,046 +0 14 Sept – 22 Sept · 4 observations
2,0462,046peak 2,04614 Sept22 Sept
26,719Peak Premier in tracked matches
2,046Highest Faceit ELO seen on CSDB
49Days played since 2025-12-01

Faceit ELO

  • At peak — 2,046
  • Next: 2,500 ELO at 2,500 — 454 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-14
  • Level 9 first seen 2026-09-14

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate0%——
K/D1.00——
Headshot %50%——

Measured 15 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GG☯ Dorian.PEAK ELO2,046csdb.gg/stats

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Performance scores

Aim79
Positioning53
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWLLWWWLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +7.8pp headshot accuracy · +64ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 39%
  • Avg reaction 684ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 666ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 634ms

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 (+1.5 against its own average).

Aim7.9
Utility5.3
Positioning5.3
Opening Duels1.7
Clutch3.0

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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
Positioning5.3
Utility5.3
Mechanics7.0
Opening Duels1.7
Win Impact9.4

Composite 6.4/10 (Solid), 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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time638ms+18ms
first ⅓ avg 620ms → last ⅓ avg 638ms
Headshot accuracy21.1%+1.3%
first ⅓ avg 19.8% → last ⅓ avg 21.1%

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

0.30Best match rating · 9–3 · nuke, 2 Mar →
100%Best headshot accuracy · 0–13 · inferno, 9 Jun →
383msFastest reaction time · 2–13 · train, 10 Jan →
13–1Biggest win · dust2, 28 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 9infernoWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%0.00
dust2A2213–959%0.03
mirageB158–753%0.02
nukeB126–650%0.03
ancientS96–367%-0.01
overpass—41–325%0.01
train—41–325%-0.01
anubis—31–233%0.02
vertigo—32–167%0.07
office—22–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,232Lifetime kills
0.76K/D
6,560Matches
41.2%Match win rate
36.8%Headshot %
13.8%Shot accuracy · Top 50% of tracked players
13,598MVPs
3,319Hours (in match)
4,085Bombs planted
1,134Bombs defused

Most-used weapons

AK-4723,637
AWP9,567
Knife4,446
P902,583
UMP-452,101
Tec-91,913

Lifetime map wins

9,686dust2
8,008inferno
1,275cbble
690train
443nuke
363vertigo
127office
90lake

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

Faceit stats

Combat

278Matches
57%Win rate
1.15Avg K/D
86.1ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6656%1.1317.7
Dust23250%1.2817.3
Inferno3272%1.2416.5
Ancient3053%1.0616.6
Nuke1258%1.0317.4
Anubis922%0.9213.6
Overpass580%1.3419.4
Train475%1.3020.0

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.

20.3%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.9%Spray accuracy
81.4%Counter-strafing
8.4°Preaim
626msReaction time
26.5%T opening success
43.8%CT opening success
0.53Enemies flashed / flash
6.3%Flash assists
8.64HE damage / grenade
9.83Flashes / 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 26.5232% — 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 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0320%21 Sept →
ancient13–100.0526%9 Jun →
inferno0–13-0.07100%9 Jun →
anubis10–130.0321%2 Jun →
nuke16–120.0226%25 May →
office13–6-0.0217%19 May →
office13–80.0720%19 May →
overpass1–9-0.0314%7 May →
mirage13–30.1418%7 May →
dust29–13-0.0117%7 May →
inferno9–130.0515%29 Apr →
ancient5–13-0.0426%29 Apr →
dust213–90.0615%29 Apr →
dust26–13-0.0630%29 Apr →
mirage13–50.0520%28 Apr →
inferno13–70.0825%28 Apr →
nuke13–40.0522%28 Apr →
dust213–10.1428%28 Apr →
ancient13–2-0.018%27 Apr →
nuke5–130.0412%26 Apr →
dust216–140.0819%26 Apr →
mirage13–90.0620%26 Apr →
train13–30.0414%22 Apr →
dust25–13-0.0414%21 Apr →
overpass4–13-0.097%21 Apr →
inferno13–110.0111%21 Apr →
ancient13–10-0.059%20 Apr →
dust213–90.0919%17 Apr →
dust213–50.0419%17 Apr →
dust213–20.0118%17 Apr →
inferno13–40.0725%16 Apr →
dust213–40.0316%15 Apr →
dust29–130.0325%11 Apr →
inferno14–16-0.0119%11 Apr →
vertigo13–70.0416%11 Apr →
vertigo2–4-0.017%11 Apr →
mirage13–90.0121%2 Apr →
overpass11–130.0620%2 Apr →
anubis13–80.0612%1 Apr →
mirage5–13-0.0224%26 Mar →
mirage13–5-0.108%21 Mar →
dust210–130.0424%19 Mar →
inferno9–10.048%18 Mar →
vertigo9–20.1820%17 Mar →
inferno9–40.0419%17 Mar →
inferno13–10-0.0513%17 Mar →
mirage13–50.0032%16 Mar →
ancient16–120.0327%16 Mar →
dust213–100.0316%16 Mar →
inferno11–13-0.0419%15 Mar →
mirage4–130.0021%12 Mar →
nuke4–13-0.0438%12 Mar →
inferno8–8-0.0414%12 Mar →
inferno2–9-0.1022%12 Mar →
mirage15–150.049%12 Mar →
nuke6–90.0417%12 Mar →
inferno9–30.0120%12 Mar →
inferno6–90.0110%11 Mar →
nuke13–70.0017%11 Mar →
inferno10–130.0416%9 Mar →
dust213–70.0623%9 Mar →
overpass13–80.1024%8 Mar →
dust210–130.0134%8 Mar →
nuke6–13-0.0412%8 Mar →
dust24–130.0320%8 Mar →
dust213–30.1617%8 Mar →
mirage3–130.0716%8 Mar →
dust213–40.0122%7 Mar →
ancient11–13-0.0221%7 Mar →
inferno13–11-0.0223%6 Mar →
ancient13–8-0.0415%5 Mar →
inferno11–13-0.0417%5 Mar →
nuke14–16-0.0515%5 Mar →
inferno4–13-0.0711%5 Mar →
nuke9–30.3018%2 Mar →
ancient13–11-0.0021%2 Mar →
dust213–11-0.0222%1 Mar →
inferno13–70.0426%1 Mar →
dust213–10.0631%20 Feb →
inferno11–13-0.0517%12 Feb →
nuke6–9-0.0916%10 Feb →
mirage11–13-0.0422%10 Feb →
nuke13–80.0721%8 Feb →
nuke13–6-0.0021%3 Feb →
inferno10–13-0.0426%3 Feb →
inferno6–13-0.0627%28 Jan →
inferno13–50.1015%28 Jan →
inferno13–90.0715%27 Jan →
train15–150.0413%16 Jan →
mirage13–70.0518%10 Jan →
train2–13-0.1023%10 Jan →
mirage7–13-0.0113%27 Dec →
ancient0–4-0.0240%27 Dec →
train1–13-0.0325%27 Dec →
dust24–130.0019%8 Dec →
mirage13–80.1020%8 Dec →
inferno7–130.0714%8 Dec →
mirage15–150.0315%7 Dec →
dust29–13-0.0213%3 Dec →
inferno9–130.0517%1 Dec →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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