physical destruction

physical destruction — CS2 Stats

SV76561198320495217[U:1:360229489]Steam profile ↗✓ No bans

634Tracked matches50%Win rate2024Tracked since
736Hours in CS0Hrs last 2 wks
CSDB Rating3.0 Learning
FaceitLevel 3 · 895 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
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 rate43.0%41.8%42.7%meets
Shot accuracy5.5%11.9%10.8%5.3% short
Kill/death ratio0.880.971.000.11 short
Match win rate36.7%43.5%44.1%7.4% short

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

Widest gap: Shot accuracy. 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.GGphysical destructionFACEITLevel 3 · 895 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim35
Positioning43
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateLLLWLWLWLW

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

Player DNA

Aim3.5
Aggression5.3
Utility2.9
Positioning4.3
Opening Duels0.9
Clutch4.8

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 73% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.5
Positioning4.3
Utility2.9
Mechanics2.3
Opening Duels0.9
Win Impact5.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time626ms−37ms
first ⅓ avg 664ms → last ⅓ avg 626ms
Headshot accuracy16.5%−1.7%
first ⅓ avg 18.1% → last ⅓ avg 16.5%

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

0.15Best rating — ancient 13–0
130Biggest win — ancient
7Longest win streak
L3Current streak
57In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 88% over 8officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C145936%-0.01
infernoS1410471%-0.01
nukeB136746%-0.00
ancientA95456%0.02
mirageA95456%0.00
trainS87188%0.01
vertigoA74357%0.00
anubisC73443%0.01
officeD62433%-0.03
overpassA53260%-0.00
cache31233%-0.01
shelter110100%0.07
poseidon1010%-0.00
dogtown110100%0.14
grail110100%0.05
italy1010%0.03

Across the last 100 tracked matches.

Lifetime stats

17,364Lifetime kills
0.88K/D
1,120Matches
36.7%Match win rate
43.0%Headshot % · Top 50% of Level 3 players
5.5%Shot accuracy
1,780MVPs
320Hours (in match)
987Bombs planted
197Bombs defused

Most-used weapons

Lifetime map wins

1,482nuke
1,376inferno
628dust2
579vertigo
380lake
356train
224office
104italy

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

Faceit stats

Combat

27Matches
52%Win rate
0.90Avg K/D
64.6ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
13%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage771%0.9112.0
Inferno757%0.9211.7
Ancient450%0.668.5
Nuke367%1.6317.3
Overpass333%0.789.7
Dust210%0.539.0
Anubis10%0.447.0
Vertigo10%0.699.0

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.

16.2%Headshot accuracy
29.6%Accuracy (enemy spotted)
36.1%Spray accuracy
60.5%Counter-strafing
11.2°Preaim
630msReaction time
35.9%T opening success
31.5%CT opening success
0.42Enemies flashed / flash
3.5%Flash assists
7.45HE damage / grenade
4.35Flashes / 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 0.4228 — 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 35.893% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0513%24 Aug
vertigo10–130.0119%29 Jul
dust29–13-0.0314%29 Jul
office13–20.010%24 Jul
mirage4–130.0132%23 Jul
ancient13–40.0513%23 Jul
anubis11–130.0116%22 Jul
overpass13–8-0.0318%20 Jul
office5–130.0219%20 Jul
anubis13–80.0413%16 Jul
mirage9–13-0.0411%16 Jul
dust212–12-0.0514%14 Jul
shelter13–70.079%13 Jul
office6–13-0.0830%13 Jul
office13–10-0.0521%11 Jul
cache13–7-0.0025%11 Jul
mirage10–13-0.0118%29 Jun
nuke13–7-0.103%29 Jun
dust212–120.0213%14 Jun
anubis6–13-0.0614%5 Jun
vertigo13–70.119%5 Jun
inferno13–4-0.0028%5 Jun
nuke13–50.0114%1 Jun
train13–4-0.0227%30 May
ancient13–60.0324%19 May
inferno10–13-0.027%19 May
inferno2–13-0.1015%1 May
mirage13–2-0.0210%1 May
vertigo10–13-0.0622%1 May
cache10–13-0.0319%1 May
nuke13–10.0517%1 May
cache11–13-0.0020%28 Apr
nuke8–13-0.0121%25 Mar
ancient1–13-0.079%29 Jan
inferno13–80.0223%29 Jan
anubis8–13-0.0011%29 Jan
anubis13–60.0920%26 Jan
nuke11–130.027%26 Jan
poseidon8–8-0.009%26 Jan
inferno13–100.0418%25 Jan
office12–12-0.079%25 Jan
nuke6–13-0.056%25 Jan
inferno13–10-0.027%19 Jan
overpass10–13-0.0418%19 Jan
train13–90.052%11 Nov
vertigo13–6-0.1035%27 Oct
vertigo11–13-0.026%23 Oct
overpass6–130.0126%23 Oct
anubis12–12-0.0215%15 Oct
anubis13–90.0019%15 Oct
nuke7–9-0.0814%15 Oct
inferno12–120.0316%9 Oct
dust213–80.0422%6 Oct
ancient13–20.0421%6 Oct
dust29–13-0.0613%1 Oct
dust23–13-0.0511%1 Oct
office7–13-0.0329%1 Oct
mirage13–110.0827%1 Oct
dogtown9–30.1419%1 Oct
inferno9–10.1219%29 Sept
inferno9–4-0.085%29 Sept
inferno9–2-0.060%29 Sept
overpass9–40.046%29 Sept
dust213–110.0112%29 Sept
nuke7–90.0820%29 Sept
vertigo9–40.0616%29 Sept
ancient3–13-0.0330%28 Sept
train2–13-0.0910%28 Sept
dust213–50.0513%28 Sept
grail13–110.0524%27 Sept
overpass13–110.0111%24 Sept
mirage13–110.0123%23 Sept
ancient8–130.0116%23 Sept
dust210–13-0.0126%23 Sept
ancient13–00.1567%23 Sept
ancient13–100.0132%23 Sept
mirage10–13-0.0317%22 Sept
train13–70.0317%22 Sept
dust28–13-0.0117%22 Sept
dust213–9-0.0833%21 Sept
nuke13–20.069%21 Sept
inferno13–50.0419%20 Sept
italy2–130.0329%20 Sept
inferno13–8-0.0212%19 Sept
train13–5-0.0319%19 Sept
train13–8-0.0017%18 Sept
dust213–60.0230%17 Sept
train13–30.0717%17 Sept
nuke15–15-0.059%16 Sept
dust23–130.027%14 Sept
nuke13–60.003%14 Sept
inferno13–100.0317%14 Sept
dust26–13-0.0313%13 Sept
train13–90.058%13 Sept
mirage13–70.0419%13 Sept
vertigo13–50.0313%13 Sept
inferno5–9-0.0510%13 Sept
nuke9–30.059%13 Sept
nuke7–9-0.0416%13 Sept
mirage13–90.0018%11 Sept

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 →