dorko

dorko — CS2 Stats

76561197961024145[U:1:758417]Steam profile ↗✓ No bans

1,766Tracked matches44%Win rate2021Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating16,496Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (20 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: 16,496 +2,272 16 Aug – 28 Sept · 12 days played
14,22416,555peak 16,55516 Aug28 Sept
16,555Peak Premier in tracked matches
37Days played since 2026-08-12

Premier CS Rating

  • 59 below peak (16,555)
  • +1,219 over 30 days · improving
  • Next: Pink band at 20,000 — 3,504 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGdorkoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,496 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning55
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY50–39–11Last 10050%Win rateLLWLWLWWTL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.8pp headshot accuracy · +13ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 738ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 693ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 687ms

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 (+2.9 against its own average).

Aim6.3
Utility6.9
Positioning5.5
Opening Duels2.5
Clutch1.0

Strong T-side opener

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

ZywOo

Plays most like ZywOo 81% 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

CT openings. Opening success drops from 58% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 679ms 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

Aim6.3
Positioning5.5
Utility6.9
Mechanics7.6
Opening Duels3.6
Win Impact3.1

Composite 5.8/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time676ms+45ms
first ⅓ avg 631ms → last ⅓ avg 676ms
Headshot accuracy21.6%−0.1%
first ⅓ avg 21.7% → last ⅓ avg 21.6%

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

0.14Best match rating · 9–0 · inferno, 12 Sept →
51%Best headshot accuracy · 13–8 · train, 13 Aug →
406msFastest reaction time · 13–8 · inferno, 30 Aug →
13–1Biggest win · inferno, 29 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–1In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 83% over 6ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.01
dust2B158–753%-0.03
nukeC146–843%0.02
ancientD103–730%-0.02
cacheB105–550%0.00
mirageB105–550%-0.02
trainC73–443%-0.03
vertigoS65–183%-0.02
anubisC52–340%-0.02
office—31–233%0.01
overpass—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
64%Win rate
0.93Avg K/D
79.3ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%1.1013.5
Ancient367%0.7312.0
Mirage20%0.5110.0
Inferno2100%1.0013.0
Nuke2100%1.1819.5
Anubis10%0.9518.0

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.

20.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.7%Spray accuracy
84.1%Counter-strafing
11.1°Preaim
679msReaction time
58.4%T opening success
30.1%CT opening success
0.62Enemies flashed / flash
10.1%Flash assists
13.52HE damage / grenade
6.91Flashes / 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

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

    CT opening duels 30.0857% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0423%17 Oct →
nuke10–13-0.0118%12 Oct →
dust25–1-0.0515%12 Oct →
overpass7–13-0.0625%10 Oct →
inferno13–80.1121%3 Oct →
dust21–13-0.086%3 Oct →
inferno13–10.0518%29 Sept →
inferno9–40.0225%29 Sept →
inferno15–15-0.019%28 Sept →
inferno8–130.0113%26 Sept →
ancient5–130.018%26 Sept →
dust212–120.0023%26 Sept →
inferno13–11-0.0438%26 Sept →
nuke13–50.0624%25 Sept →
dust29–13-0.0730%24 Sept →
anubis6–13-0.0830%24 Sept →
inferno4–13-0.0719%17 Sept →
dust213–8-0.0314%17 Sept →
nuke3–13-0.0129%17 Sept →
cache13–60.0117%16 Sept →
anubis12–12-0.0222%16 Sept →
train7–13-0.0415%15 Sept →
inferno3–13-0.0227%15 Sept →
ancient9–130.0022%15 Sept →
inferno9–40.0729%14 Sept →
anubis13–11-0.0220%13 Sept →
nuke13–60.0623%12 Sept →
dust213–90.0130%12 Sept →
cache6–130.0217%12 Sept →
train4–13-0.0721%12 Sept →
inferno9–00.1438%12 Sept →
mirage13–4-0.0218%10 Sept →
inferno13–30.1026%8 Sept →
mirage13–7-0.0220%8 Sept →
ancient13–11-0.0325%6 Sept →
nuke7–20.0419%6 Sept →
nuke8–13-0.0310%6 Sept →
inferno13–10-0.0421%6 Sept →
mirage15–15-0.0426%5 Sept →
ancient4–13-0.0616%5 Sept →
inferno8–13-0.1141%5 Sept →
ancient12–12-0.0525%5 Sept →
cache12–120.0319%4 Sept →
inferno13–70.0418%4 Sept →
office7–13-0.0225%4 Sept →
office13–60.0520%2 Sept →
vertigo13–20.0215%2 Sept →
inferno6–13-0.0211%2 Sept →
ancient6–13-0.066%1 Sept →
mirage13–20.0820%1 Sept →
nuke12–12-0.0317%1 Sept →
dust213–100.0222%1 Sept →
mirage13–11-0.0313%1 Sept →
vertigo13–60.0517%31 Aug →
nuke8–130.0818%30 Aug →
inferno13–8-0.0016%30 Aug →
dust213–11-0.079%30 Aug →
nuke13–70.0625%30 Aug →
nuke12–12-0.0320%28 Aug →
office5–130.0130%28 Aug →
dust22–13-0.0635%27 Aug →
cache5–130.0427%27 Aug →
mirage11–13-0.0516%27 Aug →
cache3–13-0.0519%27 Aug →
ancient6–00.060%27 Aug →
inferno13–5-0.0429%27 Aug →
ancient6–13-0.0418%26 Aug →
train13–1-0.0222%26 Aug →
nuke9–13-0.0019%26 Aug →
mirage13–7-0.0221%26 Aug →
dust212–12-0.0511%26 Aug →
ancient13–30.0128%25 Aug →
mirage9–13-0.0520%25 Aug →
cache12–12-0.0320%24 Aug →
nuke12–120.0520%24 Aug →
dust213–7-0.0022%23 Aug →
mirage7–13-0.0721%23 Aug →
inferno13–10-0.0214%22 Aug →
dust213–70.0428%22 Aug →
nuke13–50.0816%22 Aug →
dust216–12-0.0324%20 Aug →
cache13–9-0.0230%20 Aug →
vertigo8–4-0.0011%20 Aug →
train13–8-0.0426%20 Aug →
nuke13–6-0.0325%20 Aug →
inferno8–13-0.0519%19 Aug →
vertigo13–11-0.0815%19 Aug →
cache13–50.0025%19 Aug →
vertigo4–9-0.0814%17 Aug →
ancient7–13-0.099%17 Aug →
train3–13-0.0524%17 Aug →
anubis13–30.0713%16 Aug →
dust29–13-0.0731%16 Aug →
vertigo13–8-0.0119%13 Aug →
cache13–7-0.0416%13 Aug →
train13–80.0551%13 Aug →
cache13–110.0433%12 Aug →
train6–13-0.0420%12 Aug →
anubis4–13-0.0326%12 Aug →
mirage4–130.0323%12 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 →

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