donked

donked — CS2 Stats

NL76561199281466091[U:1:1321200363]Steam profile ↗✓ No bans

290Tracked matches47%Win rate2022Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating23,168Top 25% of 215,248 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#42293 of 261424 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (6 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: 23,168 +8,335 6 Jun – 7 Nov · 25 days played
14,83326,105peak 26,1056 Jun7 Nov
26,206Peak Premier in tracked matches
44Days played since 2026-05-27

Premier CS Rating

  • 2,937 below peak (26,105)
  • -1,258 over 90 days
  • Next: Red band at 25,000 — 1,832 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 4STANDINGTop 81.0% of rankedPREMIER23,168 · Pink bandcsdb.gg/stats

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Performance scores

Aim57
Positioning56
Utility37

0–100 skill scores via Leetify.

Recent form

COLD58–42Last 10058%Win rateLWLLLLWLLW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −2.0pp headshot accuracy · +88ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 705ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 642ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

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 (+1.8 against its own average).

Aim5.7
Utility3.7
Positioning5.6
Opening Duels1.8
Clutch4.2

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

jL

Plays most like jL 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim5.7
Positioning5.6
Utility3.7
Mechanics4.1
Opening Duels1.8
Win Impact3.9

Composite 4.7/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time597ms+4ms
first ⅓ avg 592ms → last ⅓ avg 597ms
Headshot accuracy17.0%−1.2%
first ⅓ avg 18.2% → last ⅓ avg 17.0%

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

0.17Best match rating · 13–1 · nuke, 10 Jun →
37%Best headshot accuracy · 3–9 · nuke, 23 Jul →
352msFastest reaction time · 13–4 · anubis, 22 Jul →
13–0Biggest win · cache, 13 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 100% over 5dust2Weakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
mirageA2715–1256%0.03
dust2B199–1047%0.02
cacheA1610–663%0.01
nukeB158–753%0.03
ancientA95–456%-0.01
anubisS55–0100%0.06
vertigo—42–250%0.01
inferno—44–0100%0.04
train—10–10%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

63Matches
63%Win rate
1.44Avg K/D
85.6ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2374%1.6419.0
Dust22055%1.1716.3
Ancient978%1.5919.7
Nuke650%1.4417.2
Inferno367%1.5318.0
Anubis10%0.9313.0
Cache10%0.9212.0

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.

15.7%Headshot accuracy
31.5%Accuracy (enemy spotted)
38.8%Spray accuracy
68.3%Counter-strafing
8.9°Preaim
588msReaction time
28.4%T opening success
44.2%CT opening success
0.35Enemies flashed / flash
6.1%Flash assists
6.39HE damage / grenade
10.89Flashes / 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 0.3478 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 28.3734% — 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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0415%7 Nov →
cache16–14-0.0114%7 Nov →
vertigo7–13-0.029%6 Nov →
ancient7–8-0.0416%1 Nov →
nuke7–13-0.0833%31 Oct →
nuke11–130.047%26 Oct →
mirage13–2-0.0412%25 Oct →
nuke2–13-0.0710%24 Oct →
mirage10–13-0.0211%23 Oct →
anubis13–40.0519%23 Oct →
ancient13–20.0117%16 Oct →
cache5–13-0.0123%27 Aug →
cache13–30.0413%26 Aug →
anubis13–110.1015%20 Aug →
mirage13–5-0.0415%20 Aug →
inferno13–4-0.0120%20 Aug →
nuke13–80.0815%18 Aug →
train10–130.0814%18 Aug →
cache13–6-0.0221%11 Aug →
cache2–130.0214%11 Aug →
mirage4–13-0.0014%4 Aug →
vertigo13–70.0115%29 Jul →
inferno13–40.0316%24 Jul →
mirage3–13-0.0124%23 Jul →
dust213–70.0916%23 Jul →
ancient8–13-0.0216%23 Jul →
ancient13–9-0.0117%23 Jul →
cache3–13-0.069%23 Jul →
nuke2–130.0333%23 Jul →
nuke3–90.0737%23 Jul →
nuke10–13-0.1023%23 Jul →
mirage0–13-0.0617%22 Jul →
cache10–130.1113%22 Jul →
anubis13–40.0717%22 Jul →
nuke7–130.0821%21 Jul →
inferno13–70.0616%21 Jul →
anubis13–60.0421%21 Jul →
mirage13–100.0920%21 Jul →
mirage2–130.0311%21 Jul →
dust23–13-0.0621%21 Jul →
mirage13–30.0717%17 Jul →
cache13–80.0210%17 Jul →
nuke13–30.0611%16 Jul →
cache6–00.0914%14 Jul →
ancient13–3-0.0211%13 Jul →
cache13–00.0325%13 Jul →
mirage13–60.0728%13 Jul →
anubis13–90.0320%13 Jul →
mirage8–13-0.0617%12 Jul →
nuke13–110.0414%12 Jul →
nuke13–70.0524%12 Jul →
mirage13–110.0816%12 Jul →
nuke13–60.1317%12 Jul →
ancient9–130.0412%12 Jul →
nuke11–2-0.0322%12 Jul →
mirage13–50.0126%11 Jul →
dust28–130.0728%11 Jul →
mirage13–100.0615%10 Jul →
ancient13–10-0.0213%10 Jul →
mirage16–120.0214%10 Jul →
dust213–100.0812%10 Jul →
dust21–130.0431%10 Jul →
dust21–13-0.097%9 Jul →
mirage13–90.0716%9 Jul →
mirage10–130.1219%8 Jul →
dust22–130.0013%5 Jul →
dust24–130.0119%5 Jul →
dust213–20.005%5 Jul →
mirage13–50.1517%3 Jul →
dust213–40.0218%3 Jul →
dust213–10.0919%2 Jul →
ancient13–2-0.0218%2 Jul →
dust25–130.0623%2 Jul →
mirage8–130.0425%2 Jul →
mirage13–60.0619%2 Jul →
mirage5–13-0.0813%2 Jul →
dust213–2-0.059%1 Jul →
mirage5–130.0410%1 Jul →
mirage9–13-0.0114%30 Jun →
mirage13–100.0121%30 Jun →
dust213–100.0321%29 Jun →
nuke13–100.0016%22 Jun →
mirage13–60.0215%18 Jun →
dust26–13-0.0320%18 Jun →
dust29–13-0.0022%18 Jun →
mirage11–13-0.0312%12 Jun →
mirage13–20.1227%12 Jun →
dust213–100.0725%12 Jun →
dust213–70.0421%11 Jun →
nuke13–10.1713%10 Jun →
inferno13–40.0719%6 Jun →
vertigo8–130.048%4 Jun →
vertigo13–30.0123%4 Jun →
cache9–130.0323%3 Jun →
cache13–11-0.0016%3 Jun →
dust28–130.0120%3 Jun →
cache3–13-0.0129%3 Jun →
cache13–9-0.0216%3 Jun →
cache13–6-0.0222%3 Jun →
cache13–10-0.0121%27 May →

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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