unr3al_1 — CS2 Stats

76561199065382146[U:1:1105116418]

38Tracked matches45%Win rate2026Tracked since
124Hours in CS29Hrs last 2 wks
CSDB Rating4.1 Developing
Ladder ranks via Leetify

Performance scores

Aim45
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY13232Last 3834%Win rateWLLLLLWWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim4.5
Aggression6.7
Utility4.4
Positioning4.8
Opening Duels1.7

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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

Reaction time. 670ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.5
Positioning4.8
Utility4.4
Mechanics4.1
Opening Duels1.7
Win Impact3.3

Composite 4.1/10 (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+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time633ms−58ms
first ⅓ avg 691ms → last ⅓ avg 633ms
Headshot accuracy20.2%+2.0%
first ⅓ avg 18.2% → last ⅓ avg 20.2%

Rolling 5-match average across the last 38 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — nuke 13–2
132Biggest win — nuke
4Longest win streak

Map breakdown

mirageBest map · 50% over 6dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2D1751229%-0.00
mirageB63350%0.02
cacheC52340%0.01
anubis4040%-0.05
inferno31233%-0.03
nuke220100%0.13
train1010%-0.02

Across the last 38 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,950Lifetime kills
0.77K/D
214Matches
24.8%Match win rate
43.0%Headshot %
6.4%Shot accuracy
204MVPs
58Hours (in match)
33Bombs planted
25Bombs defused

Most-used weapons

Lifetime map wins

413dust2
67nuke
51inferno
47vertigo
24train
16cbble
5militia
1ar_shoots

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.

19.2%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.0%Spray accuracy
68.5%Counter-strafing
11.8°Preaim
670msReaction time
30.5%T opening success
43.2%CT opening success
0.66Enemies flashed / flash
5.4%Flash assists
3.49HE damage / grenade
10.05Flashes / 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 30.4547% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0110%28 Aug
cache4–130.0114%28 Aug
cache7–130.0223%28 Aug
cache3–130.0133%26 Aug
mirage5–13-0.0611%25 Aug
dust27–13-0.0126%25 Aug
inferno9–00.0413%23 Aug
mirage13–30.1229%23 Aug
dust28–1-0.0119%20 Aug
dust27–10.0233%20 Aug
dust211–130.0417%20 Aug
dust213–50.0015%20 Aug
dust29–130.0721%20 Aug
dust213–40.0320%19 Aug
anubis11–13-0.0710%18 Aug
dust25–130.0124%17 Aug
dust210–130.0819%17 Aug
dust212–12-0.0420%17 Aug
inferno0–2-0.030%17 Aug
mirage13–100.1012%17 Aug
dust28–13-0.1014%17 Aug
nuke13–20.1414%16 Aug
dust213–9-0.0123%16 Aug
cache13–11-0.0013%16 Aug
dust26–13-0.038%15 Aug
nuke13–40.1121%15 Aug
mirage13–3-0.0114%13 Aug
dust24–13-0.0030%13 Aug
train5–13-0.0223%12 Aug
dust27–130.0241%6 Aug
mirage12–12-0.0114%5 Aug
dust26–13-0.019%4 Aug
mirage7–13-0.0420%4 Aug
anubis9–13-0.0518%4 Aug
anubis2–13-0.0420%3 Aug
inferno8–13-0.0915%3 Aug
dust23–10-0.076%2 Aug
anubis8–13-0.047%2 Aug

Match data via Leetify.

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