다민

다민 — CS2 Stats

KR76561198825020136[U:1:864754408]Steam profile ↗✓ No bans

382Tracked matches36%Win rate2023Tracked since
CSDB Rating4.8 DevelopingAggressive Rifler
Premier CS Rating12,730Blue band · top ~40.4% of ranked players (population est.)
CSDB Leaderboard#26436 of 39192 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GG다민FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,730 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning53
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLWLTLLWLWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression6.6
Utility2.5
Positioning5.3
Opening Duels2.2
Clutch0.2

Strong CT-side openerLimited 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 84% playstyle similarity

Most alike: opening-fight frequency, 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

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

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3
Positioning5.3
Utility2.5
Mechanics7.6
Opening Duels2.4
Win Impact0.2

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time623ms+44ms
first ⅓ avg 579ms → last ⅓ avg 623ms
Headshot accuracy17.3%+5.1%
first ⅓ avg 12.3% → last ⅓ avg 17.3%

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

0.16Best rating — dust2 13–11
130Biggest win — mirage
7Longest win streak
46In matches decided by ≤2 rounds
11Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A31191261%0.02
mirageC1881044%0.00
nukeC114736%-0.02
ancientD113827%-0.00
infernoD102820%0.00
anubisS64267%-0.02
cacheD51420%0.02
vertigoS54180%0.01
overpass21150%0.02
train110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
52%Win rate
0.87Avg K/D
64.8ADR
41%Headshot %

Clutches & streaks

21%1v1 clutch win
16%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21471%0.9513.0
Mirage1250%0.8512.6
Inferno757%0.8912.7
Ancient30%0.6211.0
Overpass20%0.7415.5
Nuke1100%0.9314.0
Vertigo10%0.9416.0

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.

16.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.9%Spray accuracy
84.3%Counter-strafing
7.8°Preaim
611msReaction time
28.2%T opening success
49.1%CT opening success
0.41Enemies flashed / flash
1.0%Flash assists
6.28HE damage / grenade
3.09Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4128 — below the 0.5 mark we flag

    Grenade Lineups
  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 28.1595% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0316%27 Aug
dust213–6-0.0128%7 Aug
cache10–130.1016%6 Aug
dust215–150.1317%5 Aug
inferno4–13-0.1015%28 Jul
mirage7–130.0119%28 Jul
dust213–5-0.0110%22 Jul
mirage16–19-0.0524%20 Jul
cache13–90.0311%18 Jul
dust213–110.1618%18 Jul
nuke10–13-0.057%18 Jul
mirage11–13-0.0311%18 Jul
dust213–70.0018%18 Jul
nuke13–16-0.0612%14 Jul
anubis5–13-0.099%14 Jul
dust213–80.0518%14 Jul
dust213–70.0415%9 Jul
anubis16–120.0116%9 Jul
mirage13–30.0214%9 Jul
cache8–130.0026%9 Jul
cache12–16-0.0115%9 Jul
ancient9–13-0.0129%9 Jul
dust26–13-0.0614%7 Jul
mirage13–8-0.0223%28 Jun
ancient9–130.0410%28 Jun
ancient13–16-0.068%27 May
dust210–13-0.037%27 May
ancient10–13-0.0314%26 May
overpass17–19-0.0418%26 May
mirage12–120.0225%22 May
cache7–13-0.0116%4 May
mirage15–15-0.0114%27 Apr
dust210–1-0.0560%24 Apr
dust27–130.0320%17 Feb
nuke13–60.0713%17 Feb
overpass13–70.079%16 Feb
inferno13–70.0015%16 Feb
mirage13–50.0213%16 Feb
dust213–4-0.0120%21 Nov
train13–50.0414%21 Nov
dust213–110.0432%21 Nov
nuke10–13-0.0917%21 Nov
nuke13–10-0.035%20 Nov
dust27–13-0.0819%1 Aug
dust213–100.039%31 Jul
nuke13–100.0014%29 Jul
anubis16–120.0213%31 May
nuke3–13-0.0513%10 May
inferno10–130.0214%12 Apr
dust213–70.0821%6 Apr
nuke11–13-0.0114%6 Apr
anubis11–13-0.0412%5 Apr
inferno11–130.0312%5 Mar
ancient13–40.1211%17 Feb
dust210–13-0.0119%16 Feb
ancient13–8-0.0416%14 Feb
dust213–40.0014%14 Feb
dust213–20.0225%13 Feb
mirage13–4-0.0916%12 Feb
dust213–100.0712%10 Feb
dust213–80.0220%10 Feb
mirage2–13-0.0330%10 Feb
ancient5–13-0.0118%8 Feb
anubis13–80.0014%7 Feb
mirage5–130.0114%5 Feb
inferno6–13-0.0728%3 Feb
nuke3–13-0.0731%3 Feb
inferno13–16-0.0210%29 Jan
dust213–7-0.0515%25 Jan
vertigo10–13-0.0412%23 Jan
dust213–50.0610%22 Jan
anubis13–7-0.008%15 Jan
ancient10–130.0113%14 Jan
mirage13–50.0417%12 Jan
dust29–13-0.0118%11 Jan
inferno13–100.088%11 Jan
inferno15–150.046%3 Jan
inferno5–90.0310%29 Dec
vertigo13–5-0.019%30 Nov
nuke13–70.1015%29 Nov
inferno5–130.0010%28 Nov
dust24–13-0.0218%28 Nov
nuke10–13-0.0015%27 Nov
dust24–13-0.043%13 Nov
dust29–13-0.0311%11 Nov
vertigo13–40.0917%3 Nov
vertigo13–9-0.066%20 Oct
vertigo13–110.0515%7 Oct
ancient3–13-0.0213%5 Oct
mirage5–130.0219%23 Sept
mirage13–10-0.069%21 Sept
dust211–130.0616%21 Sept
dust213–90.0414%20 Sept
mirage13–00.136%20 Sept
ancient13–7-0.018%18 Sept
mirage13–100.0614%6 Sept
dust213–110.0811%31 Aug
ancient6–13-0.0230%31 Aug
mirage8–130.079%24 Aug
mirage7–13-0.0311%18 Aug

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 →