DONKED

DONKED — CS2 Stats

CX76561199062591541[U:1:1102325813]Steam profile ↗✓ No bans

272Tracked matches63%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating23,711Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#34190 of 252691 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+311Premier CS Rating · 23,400 → 23,711

Rating over time

Premier CS Rating: 23,711 +932 16 Oct – 17 Oct · 39 days played
19,64226,422peak 26,42216 Oct17 Oct
26,616Peak Premier in tracked matches
61Days played since 2025-10-16

Premier CS Rating

  • 2,711 below peak (26,422)
  • +975 over 30 days · improving
  • Next: Red band at 25,000 — 1,289 to go
  • Reached: Red band · Pink band · Purple band · 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.GGDONKEDFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER23,711 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY61–37–2Last 10061%Win rateWLWWWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.4pp headshot accuracy · +8ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 549ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 551ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+0.9 against its own average).

Aim5.6
Utility4.8
Positioning4.8
Opening Duels1.3
Clutch4.6

Strong CT-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 87% 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

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.6
Positioning4.8
Utility4.8
Mechanics4.1
Opening Duels2.4
Win Impact9.4

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time565ms−14ms
first ⅓ avg 580ms → last ⅓ avg 565ms
Headshot accuracy20.3%−2.0%
first ⅓ avg 22.3% → last ⅓ avg 20.3%

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

0.18Best match rating · 13–1 · mirage, 3 Nov →
56%Best headshot accuracy · 4–0 · cache, 26 Aug →
391msFastest reaction time · 13–3 · dust2, 14 Sept →
13–1Biggest win · train, 18 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 100% over 5dust2Weakest map · 55% over 38
MapGradePlayedRecordWin rateAvg rating
dust2A3821–1755%-0.02
mirageA3119–1261%-0.02
nukeA117–464%-0.02
ancientA74–357%0.01
cacheS55–0100%0.03
anubis—32–167%-0.03
train—33–0100%0.01
overpass—20–20%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

296Matches
56%Win rate
1.09Avg K/D
69.0ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1377%1.0813.1
Dust2888%1.0614.5
Ancient540%1.0516.4
Inferno250%1.3419.0
Train1100%0.8727.0
Cache10%0.649.0
Nuke1100%0.609.0
Anubis1100%0.8012.0

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.

19.6%Headshot accuracy
30.3%Accuracy (enemy spotted)
33.3%Spray accuracy
68.5%Counter-strafing
10.2°Preaim
550msReaction time
28.1%T opening success
49.2%CT opening success
0.55Enemies flashed / flash
7.7%Flash assists
7.35HE damage / grenade
10.53Flashes / 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 28.0586% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–50.008%17 Oct →
dust27–13-0.0318%7 Oct →
anubis13–110.0019%4 Oct →
anubis13–2-0.0615%27 Sept →
mirage13–6-0.0121%26 Sept →
dust211–13-0.0313%26 Sept →
nuke4–13-0.0635%24 Sept →
mirage13–80.0212%24 Sept →
ancient13–9-0.0126%24 Sept →
dust22–13-0.050%19 Sept →
dust29–130.0626%15 Sept →
dust213–3-0.0321%14 Sept →
mirage13–4-0.0233%14 Sept →
mirage13–11-0.0026%11 Sept →
dust213–110.0222%10 Sept →
nuke13–40.0327%10 Sept →
mirage13–7-0.028%9 Sept →
mirage11–130.0221%9 Sept →
cache13–11-0.0415%8 Sept →
dust22–13-0.0322%7 Sept →
cache13–70.0627%2 Sept →
dust29–13-0.0226%2 Sept →
dust213–5-0.0213%30 Aug →
dust29–13-0.0521%26 Aug →
cache4–00.1056%26 Aug →
dust213–50.0624%26 Aug →
mirage13–7-0.0718%29 Jul →
dust214–16-0.1015%29 Jul →
mirage11–13-0.0211%17 Jul →
dust213–50.1220%25 Jun →
mirage13–5-0.0412%31 May →
dust219–160.0020%31 May →
dust213–6-0.0219%31 May →
mirage13–7-0.0030%31 May →
mirage13–7-0.0526%27 May →
mirage13–11-0.0518%27 May →
nuke13–40.0335%26 May →
ancient4–13-0.0525%26 May →
cache13–3-0.0029%30 Apr →
cache8–10.0133%30 Apr →
dust24–13-0.0124%8 Apr →
mirage4–13-0.0831%8 Apr →
mirage16–13-0.0231%6 Apr →
dust211–130.0023%5 Apr →
dust213–80.0516%5 Apr →
dust213–8-0.0222%29 Mar →
dust213–7-0.0133%26 Mar →
anubis1–13-0.0327%26 Mar →
dust213–8-0.0231%26 Mar →
ancient13–100.039%22 Mar →
dust213–6-0.0725%22 Mar →
nuke16–13-0.0219%14 Mar →
dust213–4-0.0625%14 Mar →
dust213–8-0.0635%14 Mar →
dust21–13-0.0921%14 Mar →
dust25–13-0.0216%23 Feb →
nuke4–13-0.0816%26 Jan →
dust213–60.0424%22 Dec →
mirage6–13-0.060%14 Dec →
mirage9–13-0.0720%10 Dec →
mirage11–13-0.0122%5 Dec →
dust28–13-0.089%2 Dec →
overpass15–150.0213%29 Nov →
nuke2–13-0.0517%23 Nov →
mirage13–100.0531%23 Nov →
train13–10.0524%18 Nov →
dust29–13-0.0124%18 Nov →
dust27–130.0624%17 Nov →
dust25–13-0.077%13 Nov →
overpass3–13-0.0017%12 Nov →
nuke13–7-0.0319%12 Nov →
mirage15–150.0332%11 Nov →
dust216–14-0.0622%11 Nov →
train13–6-0.0332%9 Nov →
mirage13–80.0329%7 Nov →
mirage13–10-0.0518%7 Nov →
mirage5–13-0.1016%5 Nov →
mirage6–13-0.0325%4 Nov →
dust213–5-0.0321%4 Nov →
mirage13–10.1841%3 Nov →
nuke13–10-0.0522%3 Nov →
ancient8–13-0.0212%2 Nov →
train13–50.0231%31 Oct →
mirage13–11-0.0418%30 Oct →
dust213–5-0.0138%30 Oct →
mirage13–160.0224%28 Oct →
ancient13–70.0111%27 Oct →
nuke10–130.0127%24 Oct →
dust213–9-0.0026%24 Oct →
mirage13–11-0.0121%23 Oct →
dust26–13-0.1223%23 Oct →
mirage13–8-0.0116%22 Oct →
mirage13–80.0133%22 Oct →
ancient3–13-0.0219%21 Oct →
nuke13–100.0113%21 Oct →
mirage6–13-0.037%19 Oct →
mirage8–13-0.0917%19 Oct →
nuke13–60.0117%19 Oct →
dust213–7-0.0333%16 Oct →
ancient13–20.1024%16 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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