사랑평화배려존중

사랑평화배려존중 — CS2 Stats

VA76561199693182221[U:1:1732916493]Steam profile ↗✓ No bans

368Tracked matches66%Win rate2025Tracked since
413Hours in CS1Hrs last 2 wks
CSDB Rating5.1 Developing
Ladder ranks via Leetify

Performance scores

Aim54
Positioning44
Utility38

0–100 skill scores via Leetify.

Recent form

HOT66277Last 10066%Win rateWWLLWWLWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.4
Aggression4.4
Utility3.8
Positioning4.4
Opening Duels0.2

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 76% 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

T-side openings. Opening success drops from 54% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim5.4
Positioning4.4
Utility3.8
Mechanics5.0
Opening Duels2.9
Win Impact10.0

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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time663ms+37ms
first ⅓ avg 626ms → last ⅓ avg 663ms
Headshot accuracy20.2%+4.9%
first ⅓ avg 15.3% → last ⅓ avg 20.2%

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 — nuke 13–3
130Biggest win — mirage
6Longest win streak
W2Current streak
35In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 80% over 10ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A36211558%0.01
mirageS2417771%0.01
infernoS118373%0.05
trainS108280%0.01
ancientC73443%0.02
overpass440100%0.06
nuke440100%0.08
anubis21150%0.02
italy1010%-0.07
cache1010%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,347Lifetime kills
1.46K/D · Top 5% of tracked players
587Matches
53.3%Match win rate · Top 10% of tracked players
52.2%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
1,110MVPs
199Hours (in match)
412Bombs planted
117Bombs defused

Most-used weapons

Lifetime map wins

1,977dust2
585inferno
478train
382nuke
39vertigo
2italy
1ar_baggage

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.

18.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.1%Spray accuracy
72.5%Counter-strafing
9.7°Preaim
657msReaction time
8.3%T opening success
53.5%CT opening success
0.47Enemies flashed / flash
5.7%Flash assists
5.15HE damage / grenade
4.08Flashes / 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 0.4709 — 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 8.3183% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–70.0613%19 Aug
mirage13–10-0.0123%19 Aug
mirage4–13-0.154%4 Aug
dust27–13-0.039%4 Aug
mirage13–30.0029%28 Jul
dust213–9-0.0312%26 Jul
ancient9–13-0.0419%18 Jul
overpass13–30.0520%16 Jul
mirage13–10.0123%16 Jul
mirage13–2-0.0115%15 Jul
mirage9–130.0117%30 Jun
mirage13–80.0733%30 Jun
mirage13–30.0129%29 Jun
dust213–40.0136%29 Jun
mirage13–00.1018%26 Jun
mirage13–70.0525%8 Jun
dust211–13-0.0416%8 Jun
dust213–10-0.0218%3 Jun
anubis12–12-0.0215%1 Jun
dust213–90.0117%1 Jun
mirage13–70.0511%25 May
dust213–60.0823%25 May
dust213–8-0.0214%25 May
dust211–130.0313%24 May
dust23–50.0012%24 May
dust213–90.0225%22 May
italy2–5-0.078%22 May
ancient10–13-0.0519%15 May
mirage7–00.0533%15 May
mirage2–13-0.1027%9 May
cache4–13-0.1152%9 May
dust24–13-0.0523%9 May
inferno13–20.0615%4 May
overpass13–60.0313%26 Nov
dust213–90.1312%18 Nov
ancient12–120.0611%13 Nov
inferno13–40.1014%13 Nov
inferno13–50.0415%13 Nov
train9–13-0.0113%13 Nov
inferno13–20.0723%11 Nov
train13–10-0.0113%11 Nov
dust213–90.0319%10 Nov
mirage15–150.018%10 Nov
dust213–6-0.0710%9 Nov
dust29–13-0.0513%9 Nov
mirage13–50.1113%9 Nov
inferno13–11-0.039%9 Nov
overpass13–20.1032%8 Nov
nuke13–30.1721%8 Nov
mirage13–50.0512%8 Nov
overpass13–70.089%8 Nov
dust28–130.0513%8 Nov
mirage13–5-0.046%8 Nov
train13–7-0.0314%8 Nov
train13–20.0516%8 Nov
inferno4–130.0114%8 Nov
dust28–13-0.0212%8 Nov
dust28–13-0.0116%8 Nov
ancient13–20.0626%8 Nov
nuke13–20.0924%8 Nov
inferno12–120.0414%7 Nov
dust213–20.0420%7 Nov
dust22–13-0.0020%7 Nov
train13–11-0.0317%7 Nov
mirage9–130.0021%7 Nov
dust29–130.0528%7 Nov
mirage13–50.0514%7 Nov
train13–90.0217%7 Nov
mirage13–60.0516%7 Nov
dust26–10.0115%7 Nov
dust212–120.0324%7 Nov
train12–120.0717%7 Nov
dust213–00.138%7 Nov
mirage13–100.0212%7 Nov
dust213–9-0.0219%7 Nov
train13–110.0720%7 Nov
inferno11–130.0418%5 Nov
dust213–7-0.0336%5 Nov
ancient13–60.0312%4 Nov
inferno13–50.1525%4 Nov
dust213–40.0519%4 Nov
dust210–130.0318%3 Nov
inferno13–80.0516%3 Nov
train13–9-0.0110%3 Nov
ancient13–90.0216%3 Nov
dust29–13-0.0120%3 Nov
dust213–10-0.0411%3 Nov
dust211–13-0.0611%3 Nov
inferno13–0-0.0210%3 Nov
dust213–20.1115%3 Nov
mirage0–7-0.060%2 Nov
nuke13–7-0.0317%2 Nov
mirage13–30.078%2 Nov
dust213–40.054%2 Nov
nuke13–80.0716%2 Nov
dust213–8-0.0015%2 Nov
mirage12–12-0.008%2 Nov
dust213–60.0415%2 Nov
ancient6–130.0521%1 Nov
train13–4-0.0514%1 Nov

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 →