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멧뚱돼이먼 — CS2 Stats

76561199016027772[U:1:1055762044]

627Tracked matches32%Win rate2024Tracked since
CSDB Rating5.1 DevelopingAggressive Rifler
Premier CS Rating16,271Purple band · top ~23.3% of ranked players (population est.)
CSDB Leaderboard#31431 of 56685 tracked
Ladder ranks via Leetify

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CSDB.GG멧뚱돼이먼PREMIER16,271 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateTTLLWLLWLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression7.2
Utility4.6
Positioning4.9
Opening Duels2.7

Limited utility dependence

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.9
Positioning4.9
Utility4.6
Mechanics5.4
Opening Duels2.7
Win Impact0.0

Composite 5.1/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time512ms−1ms
first ⅓ avg 513ms → last ⅓ avg 512ms
Headshot accuracy11.6%−0.3%
first ⅓ avg 11.9% → last ⅓ avg 11.6%

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

0.17Best rating — dust2 13–5
13–1Biggest win — ancient
5Longest win streak
7–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
dust2B3216–1650%0.01
mirageD257–1828%-0.03
infernoB126–650%0.01
ancientB126–650%-0.02
anubisA53–260%-0.02
cacheC52–340%0.00
nuke—41–325%0.00
vertigo—32–167%0.09
train—21–150%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 25). 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.

12.0%Headshot accuracy
38.7%Accuracy (enemy spotted)
37.1%Spray accuracy
74.5%Counter-strafing
6.8°Preaim
503msReaction time
40.8%T opening success
40.6%CT opening success
0.53Enemies flashed / flash
7.4%Flash assists
12.57HE damage / grenade
4.77Flashes / 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 11.9937% — below the 15% mark we flag

    Aim Training →
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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0125%30 Aug →
anubis12–120.0611%29 Aug →
nuke7–13-0.014%29 Aug →
dust210–130.1011%24 Aug →
inferno13–80.0711%20 Aug →
ancient0–13-0.0913%18 Aug →
mirage9–130.0311%18 Aug →
dust213–11-0.0015%18 Aug →
dust210–13-0.0520%18 Aug →
dust25–13-0.0215%15 Aug →
mirage13–11-0.0112%15 Aug →
dust211–13-0.0111%12 Aug →
mirage13–40.0218%9 Aug →
dust25–130.0316%8 Aug →
dust213–60.0414%8 Aug →
mirage5–13-0.103%8 Aug →
dust210–13-0.0510%4 Aug →
mirage13–9-0.0510%2 Aug →
nuke12–120.0213%2 Aug →
dust210–13-0.017%2 Aug →
dust23–13-0.0312%1 Aug →
mirage8–13-0.0410%1 Aug →
dust29–13-0.0723%31 Jul →
vertigo13–30.108%31 Jul →
mirage11–13-0.049%31 Jul →
dust25–13-0.0612%30 Jul →
train12–120.0611%29 Jul →
nuke12–12-0.018%29 Jul →
inferno1–13-0.038%28 Jul →
dust213–70.008%28 Jul →
anubis16–14-0.058%28 Jul →
anubis13–7-0.047%27 Jul →
mirage10–13-0.0511%27 Jul →
mirage4–13-0.0418%26 Jul →
dust213–50.1717%26 Jul →
inferno13–11-0.026%26 Jul →
mirage15–150.0414%26 Jul →
mirage7–13-0.0617%25 Jul →
ancient16–120.0314%24 Jul →
cache4–13-0.0413%24 Jul →
mirage9–130.0112%23 Jul →
inferno13–90.0422%23 Jul →
dust213–40.0124%23 Jul →
dust213–90.0513%23 Jul →
dust216–140.0417%22 Jul →
mirage4–13-0.0313%21 Jul →
inferno4–130.0921%21 Jul →
dust28–13-0.0113%21 Jul →
mirage13–8-0.0313%20 Jul →
inferno12–12-0.0410%20 Jul →
vertigo10–13-0.009%20 Jul →
dust212–120.0517%19 Jul →
dust28–13-0.078%19 Jul →
ancient2–13-0.0713%19 Jul →
ancient8–13-0.0722%19 Jul →
ancient13–3-0.023%18 Jul →
inferno11–13-0.0113%18 Jul →
dust213–90.079%17 Jul →
mirage5–2-0.0525%16 Jul →
dust213–90.0314%15 Jul →
dust213–90.1215%15 Jul →
mirage13–4-0.0913%14 Jul →
mirage3–13-0.039%14 Jul →
ancient12–120.0915%14 Jul →
anubis6–13-0.0622%14 Jul →
ancient13–10.0323%13 Jul →
mirage1–13-0.0414%13 Jul →
inferno13–60.0714%13 Jul →
dust213–6-0.039%13 Jul →
inferno13–30.0419%12 Jul →
ancient0–13-0.0711%12 Jul →
dust213–11-0.0217%11 Jul →
dust25–13-0.030%11 Jul →
inferno11–13-0.0111%10 Jul →
mirage11–13-0.0211%10 Jul →
dust213–30.0221%10 Jul →
dust20–20.000%10 Jul →
inferno5–13-0.0913%10 Jul →
dust213–1-0.0515%10 Jul →
cache13–70.1422%8 Jul →
nuke13–100.0314%8 Jul →
mirage6–13-0.0214%8 Jul →
train13–50.062%8 Jul →
ancient13–80.0217%7 Jul →
ancient13–8-0.0413%7 Jul →
cache3–13-0.0511%6 Jul →
mirage13–10-0.0115%6 Jul →
vertigo13–40.169%6 Jul →
cache13–100.027%5 Jul →
dust213–110.0625%4 Jul →
cache11–13-0.0514%3 Jul →
inferno13–7-0.023%3 Jul →
mirage5–13-0.0817%3 Jul →
ancient13–10-0.0818%3 Jul →
dust213–50.067%3 Jul →
anubis13–40.007%2 Jul →
dust27–130.049%2 Jul →
mirage11–13-0.0111%2 Jul →
ancient6–13-0.028%1 Jul →
mirage4–13-0.0510%1 Jul →

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 →

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