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dirty alex

dirty alex — CS2 Stats

76561199119502201[U:1:1159236473]Steam profile ↗✓ No bans

1,047Tracked matches48%Win rate2021Tracked since
1,429Hours in CS3Hrs last 2 wks
CSDB Rating3.2 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGdirty alexFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim31
Positioning36
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLWWTWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim3.1
Aggression2.3
Utility3.8
Positioning3.6
Opening Duels0.0

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 69% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 675ms 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

Aim3.1
Positioning3.6
Utility3.8
Mechanics3.9
Opening Duels0.0
Win Impact4.4

Composite 3.2/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time685ms−38ms
first ⅓ avg 723ms → last ⅓ avg 685ms
Headshot accuracy9.6%−1.3%
first ⅓ avg 10.9% → last ⅓ avg 9.6%

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.

Highlights

0.11Best rating — anubis 13–4
13–2Biggest win — mirage
6Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%-0.03
mirageS1813–572%0.00
ancientB157–847%-0.03
dust2B137–654%-0.02
anubisB115–645%-0.02
nukeA106–460%-0.01
overpassS54–180%-0.01
office—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,246Lifetime kills
0.79K/D
1,971Matches
42.2%Match win rate
39.9%Headshot %
8.6%Shot accuracy
2,657MVPs
805Hours (in match)
2,401Bombs planted
303Bombs defused

Most-used weapons

AK-479,554
M4A4 / M4A1-S7,468
Galil AR2,076
P2000 / USP-S1,514
FAMAS1,387
Glock-181,335
AWP1,052
Desert Eagle718
AUG659
MP9656

Lifetime map wins

6,949dust2
4,145inferno
853vertigo
479nuke
70train
64office
7ar_shoots
3ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.6%Spray accuracy
67.6%Counter-strafing
11.5°Preaim
675msReaction time
28.9%T opening success
19.7%CT opening success
0.74Enemies flashed / flash
2.4%Flash assists
7.43HE damage / grenade
2.59Flashes / 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 9.5506% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5879 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 28.8805% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.057%28 Aug →
inferno4–13-0.055%28 Aug →
dust213–10-0.0514%28 Aug →
mirage13–60.036%28 Aug →
inferno15–15-0.0012%6 Aug →
inferno13–60.037%4 Aug →
dust29–130.0110%3 Aug →
anubis13–40.116%3 Aug →
inferno3–13-0.075%3 Aug →
inferno13–8-0.056%29 Jul →
ancient4–13-0.0311%29 Jul →
mirage9–13-0.0211%27 Jul →
inferno13–6-0.0213%27 Jul →
mirage13–5-0.0616%24 Jul →
ancient13–10-0.0112%20 Jul →
nuke13–50.0613%20 Jul →
inferno0–13-0.1113%16 Jul →
inferno11–130.026%10 Jul →
inferno2–13-0.054%10 Jul →
mirage9–130.0016%17 Jun →
mirage13–8-0.043%12 Jun →
overpass13–16-0.066%12 Jun →
inferno13–11-0.0711%12 Jun →
inferno1–13-0.119%12 Jun →
office13–100.0521%11 Jun →
dust20–40.0413%11 Jun →
mirage13–60.022%9 Jun →
inferno14–16-0.0511%8 Jun →
dust25–13-0.025%6 Jun →
dust213–8-0.028%5 Jun →
inferno13–110.026%5 Jun →
nuke2–13-0.0911%3 Jun →
mirage6–130.0518%3 Jun →
inferno1–130.015%2 Jun →
dust213–11-0.0215%2 Jun →
inferno2–13-0.0619%1 Jun →
inferno15–15-0.017%1 Jun →
ancient3–13-0.016%30 May →
inferno10–13-0.068%30 May →
mirage13–20.0411%29 May →
anubis13–4-0.067%29 May →
dust213–10-0.0613%28 May →
nuke11–130.0420%28 May →
anubis13–7-0.036%28 May →
ancient8–13-0.1011%27 May →
dust213–2-0.053%27 May →
mirage13–70.0017%26 May →
inferno8–13-0.056%26 May →
mirage13–6-0.062%24 May →
nuke13–6-0.0012%24 May →
inferno9–13-0.0310%23 May →
nuke9–13-0.0812%20 May →
inferno7–13-0.0511%19 May →
inferno6–13-0.026%19 May →
overpass13–100.006%18 May →
overpass13–20.0015%18 May →
anubis13–100.0811%14 May →
ancient13–100.015%14 May →
ancient13–11-0.049%13 May →
mirage4–13-0.017%13 May →
ancient14–16-0.109%12 May →
anubis7–13-0.086%12 May →
nuke13–10-0.0216%11 May →
ancient13–10-0.0211%11 May →
dust22–13-0.0917%11 May →
overpass13–11-0.0124%10 May →
dust211–13-0.0318%10 May →
inferno3–13-0.066%9 May →
nuke13–20.0416%9 May →
mirage13–50.017%9 May →
inferno13–90.078%7 May →
mirage13–40.0723%7 May →
dust210–13-0.0114%6 May →
ancient8–13-0.0311%6 May →
ancient13–100.016%5 May →
nuke13–5-0.040%5 May →
anubis9–13-0.059%5 May →
inferno13–80.0217%4 May →
ancient6–13-0.036%4 May →
ancient13–11-0.0113%2 May →
mirage13–4-0.0211%1 May →
anubis10–130.008%30 Apr →
mirage13–60.0120%30 Apr →
inferno13–110.0610%30 Apr →
inferno13–10-0.025%28 Apr →
overpass13–90.0117%28 Apr →
dust213–9-0.0013%28 Apr →
mirage13–9-0.0113%27 Apr →
nuke6–13-0.0512%27 Apr →
ancient9–130.017%27 Apr →
dust213–6-0.030%23 Apr →
anubis5–13-0.056%23 Apr →
nuke13–80.0823%22 Apr →
anubis13–40.0115%22 Apr →
inferno13–8-0.0311%21 Apr →
ancient7–13-0.074%20 Apr →
ancient13–9-0.0116%20 Apr →
mirage13–90.0315%19 Apr →
anubis11–13-0.0512%19 Apr →
mirage7–130.039%17 Apr →

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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