dudeurdone — CS2 Stats

76561198070868860[U:1:110603132]

611Tracked matches44%Win rate2025Tracked since
398Hours in CS
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

COLD414514Last 10041%Win rateWWTLLLWLLL

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

Player DNA

Aim4.8
Aggression6.0
Utility6.2
Positioning4.8
Opening Duels2.0
Clutch3.6

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 653ms 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

Aim4.8
Positioning4.8
Utility6.2
Mechanics3.9
Opening Duels2.0
Win Impact3.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time657ms−11ms
first ⅓ avg 669ms → last ⅓ avg 657ms
Headshot accuracy13.5%−1.3%
first ⅓ avg 14.8% → last ⅓ avg 13.5%

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

0.17Best rating — inferno 12–12
132Biggest win — nuke
4Longest win streak
W2Current streak
74In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 10mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C30131743%0.02
infernoC156940%0.05
cacheC125742%0.02
ancientC125742%0.02
nukeB105550%0.03
mirageD93633%0.04
anubisC83538%0.05
train41325%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,321Lifetime kills
1.10K/D · Top 50% of tracked players
1,075Matches
47.9%Match win rate · Top 50% of tracked players
35.0%Headshot %
6.2%Shot accuracy
2,175MVPs
398Hours (in match)
1,413Bombs planted
256Bombs defused

Most-used weapons

Lifetime map wins

3,833dust2
1,137inferno
795nuke
425train
102vertigo
16office
16cbble
4safehouse

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

Faceit stats

Combat

19Matches
47%Win rate
0.93Avg K/D
67.6ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.1214.3
Dust2475%0.948.0
Ancient30%0.518.0
Nuke333%0.7512.0

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.

13.6%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.1%Spray accuracy
67.7%Counter-strafing
11.8°Preaim
653msReaction time
30.9%T opening success
45.3%CT opening success
0.67Enemies flashed / flash
4.6%Flash assists
6.14HE damage / grenade
16.14Flashes / 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 13.5982% — 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 30.9336% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0113%19 Jul
nuke13–11-0.0021%19 Jul
nuke12–120.0510%18 Jul
dust26–13-0.0113%15 Jul
cache3–130.0613%15 Jul
mirage3–13-0.0019%15 Jul
mirage13–100.1416%12 Jul
cache4–13-0.049%12 Jul
anubis8–130.1312%12 Jul
ancient5–13-0.0628%11 Jul
dust26–13-0.039%11 Jul
inferno13–40.148%11 Jul
dust29–13-0.0118%11 Jul
mirage7–13-0.058%11 Jul
cache15–15-0.0411%10 Jul
nuke13–20.119%10 Jul
ancient13–100.0416%10 Jul
inferno9–130.066%9 Jul
nuke2–13-0.097%9 Jul
ancient13–110.0116%6 Jul
dust213–50.0810%6 Jul
inferno12–120.0515%6 Jul
ancient9–130.0917%6 Jul
cache13–40.0812%6 Jul
ancient13–70.0715%6 Jul
dust212–120.1217%5 Jul
cache13–100.078%5 Jul
mirage12–120.1219%5 Jul
dust210–130.0217%5 Jul
nuke11–130.0514%5 Jul
ancient13–70.0915%5 Jul
dust213–9-0.0010%5 Jul
cache3–10.0517%5 Jul
anubis12–120.0820%5 Jul
ancient12–12-0.0314%4 Jul
dust22–13-0.0916%4 Jul
dust29–13-0.0611%4 Jul
ancient12–120.059%3 Jul
inferno1–130.0011%3 Jul
dust29–130.1211%2 Jul
anubis13–110.0415%2 Jul
train7–13-0.0515%2 Jul
dust22–13-0.049%2 Jul
dust29–130.0413%1 Jul
dust27–13-0.078%1 Jul
ancient11–13-0.0116%1 Jul
cache7–130.0121%1 Jul
dust212–120.0212%1 Jul
ancient13–70.033%1 Jul
dust26–13-0.0317%28 Jun
dust213–80.029%28 Jun
ancient10–13-0.0310%28 Jun
dust213–100.0413%28 Jun
mirage1–130.0016%27 Jun
inferno7–130.0612%27 Jun
dust213–40.1219%27 Jun
cache13–100.1215%27 Jun
mirage13–90.0810%26 Jun
anubis13–50.1220%26 Jun
ancient11–130.006%25 Jun
cache12–12-0.086%25 Jun
inferno12–12-0.0110%25 Jun
dust28–13-0.0419%25 Jun
anubis13–60.0314%25 Jun
nuke13–4-0.0113%25 Jun
dust29–13-0.0418%25 Jun
mirage13–20.046%25 Jun
dust213–100.0114%25 Jun
nuke13–60.1016%24 Jun
inferno13–60.0917%24 Jun
mirage6–13-0.0110%24 Jun
dust213–40.1616%24 Jun
nuke5–130.054%24 Jun
inferno11–13-0.0230%24 Jun
anubis9–130.0110%24 Jun
cache7–13-0.0411%24 Jun
inferno13–5-0.0117%24 Jun
dust210–130.0017%24 Jun
dust213–40.0723%23 Jun
dust25–13-0.079%23 Jun
inferno13–11-0.0217%23 Jun
inferno13–50.0910%23 Jun
dust213–60.0515%23 Jun
nuke12–12-0.047%23 Jun
train8–130.0418%23 Jun
train12–12-0.0310%23 Jun
dust213–90.0621%23 Jun
anubis3–13-0.0423%22 Jun
inferno12–120.1714%22 Jun
cache13–4-0.029%21 Jun
train13–110.0113%21 Jun
inferno6–13-0.088%21 Jun
mirage9–13-0.0111%21 Jun
anubis9–130.0219%21 Jun
inferno13–30.1520%21 Jun
dust213–10-0.0113%21 Jun
nuke13–110.049%20 Jun
cache9–130.0821%20 Jun
inferno5–130.0712%20 Jun
dust213–50.1423%20 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →