Дим

Дим — CS2 Stats

MK76561198237642726[U:1:277376998]Steam profile ↗✓ No bans

520Tracked matches41%Win rate2022Tracked since
964Hours in CS
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating14,654Blue band · top ~30.2% of ranked players (population est.)
CSDB Leaderboard#36815 of 60072 tracked
FaceitLevel 3 · 861 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate34.8%41.8%42.7%7.9% short
Shot accuracy11.7%11.9%10.8%above
Kill/death ratio0.970.971.000.02 short
Match win rate37.2%43.5%44.1%6.9% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGДимFACEITLevel 3 · 861 ELOSTANDINGTop 90.6% of rankedPREMIER14,654 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility28

0–100 skill scores via Leetify.

Recent form

COLD42553Last 10042%Win rateLLLLLWWLWL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression6.7
Utility2.8
Positioning5.6
Opening Duels2.3
Clutch4.0

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 662ms 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

Aim6.6
Positioning5.6
Utility2.8
Mechanics7.4
Opening Duels2.3
Win Impact2.1

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 rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time659ms−64ms
first ⅓ avg 723ms → last ⅓ avg 659ms
Headshot accuracy19.6%−0.5%
first ⅓ avg 20.1% → last ⅓ avg 19.6%

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

0.22Best rating — nuke 9–5
133Biggest win — nuke
5Longest win streak
L5Current streak
89In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
nukeC23101343%0.04
mirageB23111248%0.03
dust2D1641225%0.02
ancientD1551033%0.01
anubisA74357%0.01
overpassA74357%0.00
trainA53260%0.03
inferno31233%0.06
office1010%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,700Lifetime kills
0.97K/D · Top 50% of Level 3 players
2,158Matches
37.2%Match win rate
34.8%Headshot %
11.7%Shot accuracy
4,318MVPs
964Hours (in match)
1,684Bombs planted
477Bombs defused

Most-used weapons

Lifetime map wins

3,109dust2
1,588nuke
1,037inferno
346vertigo
339train
249cbble
93office
72safehouse

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

Faceit stats

Combat

10Matches
30%Win rate
0.69Avg K/D
72.2ADR
31%Headshot %

Clutches & streaks

40%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.907.0
Dust21100%1.2421.0
Nuke10%0.9417.0
Mirage10%0.8511.0
Overpass10%0.8416.0

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.

20.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
34.9%Spray accuracy
83.3%Counter-strafing
10.3°Preaim
662msReaction time
36.7%T opening success
41.4%CT opening success
0.45Enemies flashed / flash
3.1%Flash assists
5.57HE damage / grenade
5.90Flashes / 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 0.4538 — 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 36.715% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis3–130.0224%26 Feb
ancient9–130.0521%21 Feb
dust23–130.0321%21 Feb
nuke8–130.0227%21 Feb
inferno9–130.1328%21 Feb
overpass5–100.0220%19 Feb
mirage13–110.0515%19 Feb
nuke6–130.0119%18 Feb
nuke13–50.1933%18 Feb
nuke13–16-0.0314%16 Feb
nuke8–130.0923%16 Feb
office12–120.0519%14 Feb
mirage4–130.006%14 Feb
anubis13–90.0624%14 Feb
nuke13–30.1317%14 Feb
ancient10–130.0719%14 Feb
mirage13–11-0.0414%12 Feb
dust213–11-0.0224%6 Feb
overpass13–11-0.0611%6 Feb
dust216–120.0223%5 Feb
nuke13–60.0220%5 Feb
nuke5–130.0016%5 Feb
mirage10–130.0916%3 Feb
ancient7–130.0417%3 Feb
mirage6–13-0.0128%2 Feb
mirage13–40.1022%2 Feb
anubis13–110.0627%2 Feb
dust211–130.0625%1 Feb
mirage0–8-0.0713%1 Feb
mirage11–130.0013%1 Feb
anubis1–13-0.0012%1 Feb
mirage5–130.0718%1 Feb
ancient2–13-0.0314%31 Jan
nuke2–13-0.0625%31 Jan
anubis13–6-0.0615%31 Jan
dust25–130.0025%26 Jan
dust213–60.0712%26 Jan
mirage13–100.0417%26 Jan
mirage13–90.0321%26 Jan
nuke13–90.0422%25 Jan
anubis13–80.0011%25 Jan
nuke10–130.0320%25 Jan
mirage6–130.0129%24 Jan
anubis5–13-0.0025%24 Jan
dust212–120.1035%22 Jan
nuke11–130.0916%18 Jan
ancient13–80.0322%18 Jan
train4–130.0519%18 Jan
overpass13–100.0618%11 Jan
dust213–16-0.0120%11 Jan
ancient5–130.0015%11 Jan
mirage6–13-0.0228%11 Jan
mirage13–50.0826%11 Jan
dust212–120.0036%11 Jan
mirage5–130.0229%8 Jan
ancient7–130.0118%8 Jan
nuke13–90.1528%8 Jan
ancient5–130.0212%8 Jan
mirage13–60.0941%8 Jan
dust23–13-0.0328%8 Jan
inferno10–13-0.0426%8 Jan
dust214–160.0723%7 Jan
ancient1–13-0.0414%7 Jan
nuke13–30.0441%7 Jan
dust29–13-0.0421%7 Jan
mirage13–70.0928%7 Jan
nuke13–60.1021%6 Jan
nuke5–130.0735%6 Jan
ancient4–13-0.0532%6 Jan
mirage13–10-0.0520%29 Dec
train13–100.0718%29 Dec
overpass9–0-0.0116%28 Dec
ancient4–10.0115%28 Dec
overpass9–13-0.0419%28 Dec
overpass14–16-0.0321%27 Dec
train5–130.0624%27 Dec
dust213–100.0018%26 Dec
nuke1–13-0.0719%24 Dec
dust212–160.0220%24 Dec
mirage8–13-0.0216%23 Dec
ancient13–80.0319%23 Dec
dust23–13-0.0513%22 Dec
nuke11–130.0317%22 Dec
nuke13–110.0510%21 Dec
nuke9–50.2225%18 Dec
nuke6–9-0.0520%17 Dec
overpass7–90.0924%17 Dec
inferno9–70.0819%17 Dec
nuke13–7-0.0615%20 Oct
ancient16–140.0115%20 Oct
mirage11–130.0220%19 Oct
mirage13–70.0333%19 Oct
nuke3–13-0.0517%19 Oct
ancient13–70.0430%18 Oct
mirage6–130.0717%18 Oct
dust211–130.0516%16 Oct
train13–90.0124%11 Oct
train13–8-0.036%10 Oct
ancient2–130.0420%10 Oct
mirage13–70.1029%10 Oct

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 →