Dirt

Dirt — CS2 Stats

76561198219991272[U:1:259725544]Steam profile ↗✓ No bans

203Tracked matches50%Win rate2021Tracked since
CSDB Rating3.8 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDirtFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim35
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLLWWWLLWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim3.5
Aggression2.6
Utility5.2
Positioning4.2
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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 38% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.5
Positioning4.2
Utility5.2
Mechanics3.7
Opening Duels1.0
Win Impact5.0

Composite 3.8/10 (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 -0.02 → last ⅓ avg -0.02
Reaction time656ms−8ms
first ⅓ avg 664ms → last ⅓ avg 656ms
Headshot accuracy13.1%+2.2%
first ⅓ avg 10.9% → last ⅓ avg 13.1%

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 — overpass 13–6
131Biggest win — train
5Longest win streak
L2Current streak
54In matches decided by ≤2 rounds
2Overtime games

Map breakdown

officeBest map · 60% over 15mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.01
officeA159660%-0.04
mirageD124833%-0.03
trainA106460%-0.02
overpassA95456%0.03
infernoB84450%-0.03
nukeA74357%-0.03
anubisC52340%-0.05
ancientC52340%-0.02
golden21150%-0.00
thera2020%-0.01
alpine1010%-0.01
agency110100%-0.00
mills110100%0.05
vertigo110100%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
34.1%Spray accuracy
66.8%Counter-strafing
10.4°Preaim
659msReaction time
18.2%T opening success
38.2%CT opening success
0.60Enemies flashed / flash
3.3%Flash assists
8.63HE damage / grenade
6.72Flashes / 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 13.1911% — 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 18.2211% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0617%3 Apr
anubis8–13-0.0811%3 Apr
overpass13–100.0116%3 Apr
office13–10-0.0421%3 Apr
office13–6-0.0111%3 Apr
overpass3–130.0121%15 Mar
anubis11–13-0.038%15 Mar
office13–4-0.037%15 Mar
dust22–13-0.0613%25 Jan
dust213–7-0.0010%24 Jan
mirage11–13-0.0414%24 Jan
alpine6–13-0.0112%23 Jan
office12–12-0.009%23 Jan
office13–8-0.008%23 Jan
dust211–13-0.0613%22 Jan
anubis7–13-0.0316%22 Jan
anubis13–10-0.0412%21 Jan
nuke13–2-0.0310%21 Jan
office13–8-0.0612%20 Jan
dust213–20.0312%20 Jan
inferno1–13-0.0717%16 Jan
dust213–60.0320%16 Jan
train13–2-0.0220%16 Jan
dust213–100.0117%15 Jan
ancient13–5-0.025%12 Jan
dust25–13-0.079%12 Jan
mirage3–13-0.0011%12 Jan
mirage0–13-0.0510%12 Jan
dust212–120.0922%11 Jan
mirage5–13-0.029%10 Jan
anubis13–11-0.0511%9 Jan
dust213–10-0.0215%9 Jan
mirage13–30.0013%9 Jan
mirage13–60.0815%9 Jan
inferno13–70.0715%9 Jan
dust29–130.0617%9 Jan
dust213–6-0.046%8 Jan
train4–13-0.077%8 Jan
ancient10–13-0.0213%8 Jan
dust213–110.0015%6 Jan
nuke5–13-0.096%4 Jan
nuke13–9-0.0111%4 Jan
train13–20.0917%4 Jan
dust24–130.018%4 Jan
train13–80.065%4 Jan
office6–13-0.1015%4 Jan
train4–13-0.0519%4 Jan
overpass8–130.0211%4 Jan
agency13–2-0.0013%29 Dec
mirage13–7-0.017%29 Dec
golden2–13-0.037%29 Dec
train10–13-0.0211%29 Dec
ancient15–15-0.0310%29 Dec
dust213–8-0.0313%29 Dec
dust210–13-0.039%29 Dec
office6–3-0.0613%28 Dec
overpass13–70.0516%22 Dec
mirage3–13-0.0513%22 Dec
office10–13-0.048%21 Dec
ancient13–11-0.067%13 Dec
inferno13–10-0.073%13 Dec
train13–11-0.063%13 Dec
dust21–13-0.0413%13 Dec
nuke13–30.0620%13 Dec
office6–13-0.1018%12 Dec
office12–12-0.0814%12 Dec
mirage2–13-0.120%12 Dec
inferno1–13-0.087%5 Dec
inferno0–11-0.090%5 Dec
office13–7-0.048%30 Nov
dust213–5-0.0712%30 Nov
mirage4–13-0.075%26 Nov
office13–6-0.028%26 Nov
dust213–90.0314%26 Nov
inferno7–130.043%26 Nov
mirage9–20.006%26 Nov
overpass13–60.1112%25 Nov
overpass2–13-0.0611%25 Nov
golden13–30.0311%29 Oct
dust21–13-0.076%10 May
train8–13-0.0712%2 Jan
nuke13–9-0.098%17 Nov
dust23–13-0.0217%17 Nov
train13–3-0.029%14 Nov
train13–1-0.014%14 Nov
nuke10–13-0.0915%9 Nov
mirage3–13-0.0729%9 Nov
mills13–100.0518%5 Nov
overpass4–00.1112%5 Nov
thera12–120.0111%5 Nov
overpass5–13-0.0213%28 Oct
inferno13–80.0213%28 Oct
thera11–13-0.0211%17 Oct
office12–12-0.0313%17 Oct
office13–5-0.0512%16 Oct
overpass13–10.0910%16 Oct
ancient5–130.0515%16 Oct
inferno13–7-0.027%14 Oct
vertigo16–14-0.0819%3 Mar
nuke3–130.0310%25 Feb

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 →