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d0n

d0n — CS2 Stats

76561198126234261[U:1:165968533]Steam profile ↗

1,139Tracked matches40%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim63
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLWLLLLLL

Last 10 vs previous 10: -50pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.3
Aggression3.7
Utility5.0
Positioning5.1
Opening Duels0.2
Clutch2.8

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.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 45% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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
Positioning5.1
Utility5.0
Mechanics6.2
Opening Duels1.8
Win Impact1.7

Composite 4.9/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time579ms+12ms
first ⅓ avg 568ms → last ⅓ avg 579ms
Headshot accuracy17.4%+0.9%
first ⅓ avg 16.5% → last ⅓ avg 17.4%

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.

Highlights

0.22Best rating — overpass 9–5
13–1Biggest win — anubis
5Longest win streak
L3Current streak
9–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 63% over 8vertigoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC207–1335%-0.02
nukeA169–756%-0.02
infernoB136–746%0.02
trainA138–562%0.03
anubisA95–456%-0.01
overpassA85–363%0.01
vertigoD60–60%-0.01
cache—31–233%0.02
mirage—32–167%0.02
dust2—32–167%-0.02
poseidon—21–150%0.05
sanctum—20–20%-0.07
alpine—10–10%0.08
warden—11–0100%0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,677Matches
51%Win rate
0.95Avg K/D
78.5ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient12048%0.8913.9
Nuke9450%1.0015.7
Overpass6055%1.0315.7
Inferno5036%0.8714.1
Train4953%1.0716.2
Anubis4549%1.0216.0
Dust24062%0.9715.8
Mirage3050%0.9914.9

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.

17.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.7%Spray accuracy
78.1%Counter-strafing
9.7°Preaim
587msReaction time
17.0%T opening success
44.6%CT opening success
0.58Enemies flashed / flash
2.8%Flash assists
6.07HE damage / grenade
10.59Flashes / 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 16.9669% — below the 40% mark we flag

Spend your practice time on Vertigo

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 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0619%26 Aug →
cache7–130.0013%14 May →
alpine3–30.0813%3 May →
warden13–100.0520%3 May →
nuke3–9-0.1613%3 May →
poseidon7–90.0520%3 May →
sanctum7–9-0.0226%3 May →
cache9–130.0320%3 May →
vertigo1–7-0.030%3 May →
vertigo10–13-0.0415%2 May →
cache13–110.0315%2 May →
vertigo7–9-0.0712%2 May →
sanctum3–9-0.1212%1 May →
poseidon9–60.0516%1 May →
overpass9–50.2228%1 May →
ancient17–19-0.0316%25 Apr →
overpass13–70.0216%18 Apr →
ancient9–13-0.1220%16 Apr →
anubis16–120.0115%4 Apr →
ancient13–10-0.0016%1 Apr →
ancient11–13-0.0215%16 Mar →
overpass13–4-0.0615%26 Jan →
anubis7–13-0.0219%10 Jan →
mirage13–90.0013%16 Dec →
dust213–6-0.0326%30 Nov →
overpass16–130.0017%2 Nov →
vertigo8–80.1029%7 Oct →
inferno9–50.1932%7 Oct →
inferno9–70.0813%23 Sept →
inferno9–70.0628%12 Sept →
overpass6–130.0116%12 Sept →
train13–60.0116%10 Sept →
overpass13–10-0.0314%10 Sept →
overpass7–13-0.0426%21 Aug →
nuke4–13-0.0222%19 Aug →
ancient14–160.0523%19 Aug →
overpass9–13-0.0719%8 Aug →
train9–130.0213%19 May →
nuke8–13-0.0220%18 May →
inferno7–13-0.0222%18 May →
nuke13–9-0.0114%18 May →
train13–100.0315%18 May →
inferno14–160.0124%16 May →
ancient13–8-0.0217%16 May →
nuke10–13-0.027%15 May →
ancient9–130.0114%15 May →
ancient9–13-0.0511%12 May →
inferno13–9-0.0515%12 May →
ancient14–160.0015%23 Apr →
train1–13-0.0710%12 Apr →
nuke11–13-0.018%12 Apr →
train11–00.0620%12 Apr →
anubis6–13-0.0328%16 Mar →
ancient13–9-0.0325%16 Mar →
mirage11–13-0.0020%16 Mar →
ancient8–13-0.0518%13 Mar →
nuke13–9-0.0114%12 Mar →
inferno4–130.0128%12 Mar →
ancient13–11-0.0117%10 Mar →
dust25–13-0.0326%10 Mar →
anubis12–16-0.0014%5 Mar →
anubis13–11-0.069%5 Mar →
train11–13-0.0325%2 Mar →
anubis13–1-0.0219%2 Mar →
train9–13-0.0127%2 Mar →
dust213–11-0.0213%2 Mar →
nuke10–130.0219%2 Mar →
inferno13–20.0423%2 Mar →
nuke13–9-0.0218%27 Feb →
inferno7–13-0.0610%26 Feb →
inferno13–60.0216%26 Feb →
ancient4–13-0.0819%24 Feb →
nuke7–13-0.0914%24 Feb →
train13–100.1016%18 Feb →
anubis6–13-0.0223%17 Feb →
inferno5–130.0218%13 Feb →
inferno11–130.0110%11 Feb →
nuke13–7-0.0128%5 Feb →
ancient13–10-0.089%5 Feb →
train13–90.0311%5 Feb →
ancient16–14-0.0212%5 Feb →
anubis16–13-0.0113%3 Feb →
ancient4–13-0.0522%2 Feb →
nuke13–60.0312%2 Feb →
nuke13–110.0329%2 Feb →
ancient7–13-0.078%2 Feb →
inferno7–13-0.0111%2 Feb →
ancient13–110.0625%2 Feb →
nuke16–13-0.0112%26 Jan →
nuke13–6-0.0314%26 Jan →
mirage13–80.0518%21 Jan →
anubis13–30.0926%19 Jan →
train8–130.0116%9 Jan →
vertigo6–13-0.0511%9 Dec →
train13–50.0623%3 Dec →
vertigo8–80.0212%3 Dec →
train13–100.0011%26 Nov →
ancient11–13-0.0313%26 Nov →
train13–70.1316%16 Nov →
nuke13–70.0524%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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