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DirtyDan — CS2 Stats

76561198425164579[U:1:464898851]

446Tracked matches44%Win rate2022Tracked since
434Hours in CS
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim27
Positioning34
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY35–58–7Last 10035%Win rateLLWWWTWLWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim2.7
Aggression3.0
Utility5.2
Positioning3.4
Opening Duels0.0
Clutch1.0

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 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 665ms 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

Aim2.7
Positioning3.4
Utility5.2
Mechanics4.9
Opening Duels0.4
Win Impact3.1

Composite 3.4/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time671ms+45ms
first ⅓ avg 627ms → last ⅓ avg 671ms
Headshot accuracy11.7%−3.3%
first ⅓ avg 15.0% → last ⅓ avg 11.7%

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

0.15Best rating — inferno 13–1
13–1Biggest win — inferno
3Longest win streak
L2Current streak
2–6In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 46% over 13ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.03
trainC207–1335%-0.03
dust2B136–746%-0.05
mirageC125–742%-0.02
vertigoB115–645%0.01
nukeD81–713%-0.06
ancientD50–50%-0.06
anubis—41–325%-0.08
office—30–30%-0.04
overpass—20–20%-0.03
edin—10–10%-0.10
basalt—11–0100%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,488Lifetime kills
1.75K/D · Top 5% of tracked players
1,233Matches
45.8%Match win rate
45.8%Headshot % · Top 50% of tracked players
14.9%Shot accuracy · Top 50% of tracked players
2,114MVPs
434Hours (in match)
424Bombs planted
232Bombs defused

Most-used weapons

P2000 / USP-S15,356
Glock-184,580
AK-474,014
AWP3,452
M4A4 / M4A1-S2,503
SSG 081,560
Knife1,178
Desert Eagle820
PP-Bizon607
P250297

Lifetime map wins

1,857inferno
1,494dust2
972vertigo
535nuke
320train
284office
58lake
17ar_shoots

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

Faceit stats

Combat

11Matches
36%Win rate
0.93Avg K/D
82.8ADR
37%Headshot %

Clutches & streaks

25%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.8814.3
Anubis250%0.6810.5
Vertigo250%1.1019.0
Nuke1100%0.6511.0
Dust210%0.6911.0
Inferno1100%1.7832.0

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.

12.2%Headshot accuracy
24.6%Accuracy (enemy spotted)
25.5%Spray accuracy
72.1%Counter-strafing
9.2°Preaim
665msReaction time
24.5%T opening success
32.9%CT opening success
0.85Enemies flashed / flash
9.0%Flash assists
14.05HE damage / grenade
6.59Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2003% — below the 15% mark we flag

    Aim Training →
  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 24.5078% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.058%1 Aug →
nuke8–13-0.0812%1 Aug →
dust213–9-0.048%1 Aug →
mirage5–20.0113%24 Jul →
dust213–70.0228%24 Jul →
ancient12–12-0.088%6 May →
inferno13–11-0.0724%25 Jan →
nuke5–13-0.0912%25 Jan →
dust210–7-0.006%10 Jan →
inferno13–10-0.0110%10 Jan →
dust24–13-0.080%28 Dec →
ancient10–13-0.0617%24 Dec →
mirage11–130.018%24 Dec →
ancient1–13-0.0710%24 Dec →
vertigo13–7-0.0015%24 Dec →
train12–12-0.036%24 Dec →
mirage9–13-0.0311%24 Dec →
mirage13–10-0.0114%23 Dec →
inferno13–7-0.065%23 Dec →
dust24–13-0.057%23 Dec →
inferno11–13-0.0020%18 Dec →
dust213–7-0.0720%18 Dec →
overpass5–130.036%18 Jul →
nuke7–13-0.0911%18 Jul →
train0–10-0.090%18 Jul →
anubis13–7-0.0815%18 Jul →
train5–13-0.0715%18 Jul →
mirage12–12-0.0211%18 Jul →
anubis9–13-0.0218%10 Jul →
vertigo13–110.0318%10 Jul →
nuke3–13-0.045%10 Jul →
inferno4–13-0.0825%10 Jul →
overpass2–13-0.084%4 Jul →
vertigo6–13-0.0713%4 Jul →
mirage12–120.0320%4 Jul →
nuke6–13-0.058%4 Jul →
office5–13-0.0416%4 Jul →
inferno10–13-0.0315%25 May →
vertigo10–13-0.0415%25 May →
anubis2–13-0.0920%24 May →
mirage7–13-0.0627%24 May →
inferno8–13-0.0513%23 May →
office10–13-0.0613%23 May →
train13–100.0117%23 May →
inferno7–13-0.0113%23 May →
vertigo13–100.067%23 May →
train4–13-0.0719%23 May →
dust28–13-0.0516%20 May →
inferno13–10-0.037%5 Dec →
ancient9–13-0.0411%5 Dec →
train13–50.0416%5 Dec →
mirage6–13-0.0111%5 Dec →
nuke13–90.0213%4 Dec →
vertigo9–130.0415%4 Dec →
vertigo13–50.0115%20 Nov →
inferno13–9-0.019%20 Nov →
train10–13-0.069%20 Nov →
train13–8-0.0417%20 Nov →
train13–8-0.0310%20 Nov →
train8–13-0.086%20 Nov →
train11–13-0.0013%19 Nov →
train2–60.0316%19 Nov →
train13–10-0.0111%19 Nov →
train4–13-0.0021%19 Nov →
mirage8–13-0.0612%19 Nov →
edin7–13-0.1025%19 Nov →
train4–130.0121%19 Nov →
basalt13–8-0.0620%19 Nov →
train12–12-0.0815%15 Nov →
train13–8-0.0218%15 Nov →
train1–9-0.0633%15 Nov →
train11–13-0.0512%14 Nov →
train13–40.0119%14 Nov →
nuke3–13-0.0924%12 Nov →
inferno7–13-0.0919%12 Nov →
inferno13–9-0.047%10 Nov →
mirage13–10-0.070%10 Nov →
vertigo12–120.0114%10 Nov →
dust24–13-0.1011%10 Nov →
nuke6–13-0.029%9 Nov →
inferno9–13-0.0814%9 Nov →
dust21–13-0.0631%9 Nov →
inferno8–13-0.046%9 Nov →
inferno13–5-0.0310%8 Nov →
dust21–13-0.096%8 Nov →
anubis1–13-0.1318%8 Nov →
inferno12–12-0.0514%5 Nov →
vertigo8–130.0217%5 Nov →
inferno9–13-0.0513%2 Nov →
vertigo13–4-0.0219%2 Nov →
dust213–4-0.047%2 Nov →
vertigo11–130.0219%2 Nov →
dust213–80.0313%2 Nov →
mirage13–3-0.0212%1 Nov →
inferno13–10.1535%1 Nov →
dust22–13-0.1013%1 Nov →
inferno11–130.0120%29 Oct →
office0–3-0.0220%28 Oct →
mirage13–70.008%28 Oct →
inferno13–20.003%25 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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