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I smoke broken windows

I smoke broken windows — CS2 Stats

76561198211479433[U:1:251213705]Steam profile ↗

1,549Tracked matches43%Win rate2023Tracked since
1,191Hours in CS
CSDB Rating3.9 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGI smoke broken windowsFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim31
Positioning40
Utility55

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateTLLLWLLWLW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim3.1
Aggression4.8
Utility5.5
Positioning4.0
Opening Duels1.8
Clutch1.4

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 81% playstyle similarity

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

Where you differ: lower positioning profile; 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. 717ms 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

Aim3.1
Positioning4.0
Utility5.5
Mechanics6.1
Opening Duels1.8
Win Impact2.6

Composite 3.9/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time718ms+65ms
first ⅓ avg 653ms → last ⅓ avg 718ms
Headshot accuracy17.9%+2.6%
first ⅓ avg 15.3% → last ⅓ avg 17.9%

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

0.18Best rating — cache 13–8
13–1Biggest win — dust2
5Longest win streak
4–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%-0.02
mirageA2011–955%-0.02
infernoD174–1324%-0.01
cacheD103–730%0.00
anubisC94–544%-0.01
ancientA85–363%-0.02
overpassC73–443%-0.00
nuke—43–175%-0.01
vertigo—22–0100%-0.02
train—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,483Lifetime kills
1.01K/D
2,916Matches
45.0%Match win rate
41.4%Headshot %
7.0%Shot accuracy
6,522MVPs
1,191Hours (in match)
2,240Bombs planted
819Bombs defused

Most-used weapons

AK-4722,215
M4A4 / M4A1-S12,416
Glock-182,443
P2000 / USP-S2,319
P2502,140
AWP2,080
Desert Eagle1,287
MAC-101,166
MP91,047
Galil AR916

Lifetime map wins

5,631dust2
2,797inferno
2,501nuke
2,227vertigo
1,367train
195office
90cbble
51italy

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

Faceit stats

Combat

31Matches
45%Win rate
1.12Avg K/D
86.5ADR
47%Headshot %

Clutches & streaks

27%1v1 clutch win
35%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1040%1.0115.5
Dust2667%1.1121.7
Train4100%1.7219.3
Mirage40%0.9917.8
Ancient30%0.458.3
Nuke250%1.1917.5
Anubis250%1.6720.5

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.

18.1%Headshot accuracy
26.8%Accuracy (enemy spotted)
25.8%Spray accuracy
77.3%Counter-strafing
11.0°Preaim
717msReaction time
40.9%T opening success
33.5%CT opening success
0.62Enemies flashed / flash
3.4%Flash assists
11.62HE damage / grenade
7.56Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 716.9382ms — above the 700ms mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.5445% — 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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0810%9 Aug →
inferno11–13-0.0814%9 Aug →
cache9–130.0425%9 Aug →
inferno4–13-0.048%7 Aug →
mirage13–2-0.077%7 Aug →
anubis3–13-0.090%7 Aug →
dust24–13-0.0218%7 Aug →
anubis13–10-0.0517%26 Jul →
mirage4–13-0.0516%26 Jul →
cache13–80.1821%12 Jul →
inferno11–13-0.0517%18 Jun →
dust28–13-0.0520%18 Jun →
anubis14–16-0.0222%18 Jun →
dust213–7-0.0113%18 Jun →
mirage15–15-0.0322%18 Jun →
anubis11–13-0.0720%18 Jun →
mirage13–8-0.0119%14 Jun →
ancient13–3-0.0122%14 Jun →
anubis13–40.0128%14 Jun →
mirage13–9-0.0427%14 Jun →
dust29–13-0.018%13 Jun →
inferno9–130.0121%9 Jun →
cache9–130.0228%9 Jun →
cache8–13-0.0424%31 May →
overpass7–13-0.0316%16 May →
ancient13–8-0.0313%15 May →
overpass13–30.0113%15 May →
inferno9–13-0.0116%11 May →
mirage13–90.0034%10 May →
ancient13–9-0.0213%10 May →
dust213–110.0124%6 May →
anubis11–130.0115%5 May →
cache10–13-0.0320%5 May →
cache9–13-0.0515%4 May →
cache5–130.0116%3 May →
cache13–40.0118%2 May →
cache13–9-0.0430%2 May →
inferno7–13-0.0412%5 Apr →
inferno15–15-0.0217%3 Apr →
dust213–100.0220%2 Apr →
mirage13–100.0115%29 Mar →
train13–50.0231%28 Mar →
overpass11–13-0.0713%28 Mar →
dust214–16-0.0220%14 Mar →
dust213–6-0.0218%14 Mar →
nuke13–70.0720%8 Mar →
dust213–70.0722%8 Mar →
dust212–12-0.0825%1 Mar →
anubis13–30.0624%28 Feb →
overpass10–13-0.0027%28 Feb →
ancient11–13-0.0321%22 Feb →
mirage7–13-0.0613%18 Feb →
dust28–13-0.0426%18 Feb →
nuke13–11-0.0414%18 Feb →
inferno6–13-0.0310%18 Feb →
mirage11–13-0.0110%18 Feb →
inferno13–30.1012%18 Feb →
ancient13–100.0513%18 Feb →
dust210–13-0.0219%18 Feb →
anubis13–60.0718%18 Feb →
mirage4–13-0.115%18 Feb →
mirage6–10.0217%18 Feb →
overpass5–13-0.0216%18 Feb →
mirage1–4-0.066%18 Feb →
mirage6–13-0.063%17 Feb →
inferno13–5-0.0111%17 Feb →
vertigo13–6-0.0422%17 Feb →
dust213–3-0.0312%17 Feb →
mirage13–11-0.0321%16 Feb →
inferno6–13-0.0430%16 Feb →
ancient13–8-0.0310%16 Feb →
ancient14–16-0.0418%16 Feb →
dust26–13-0.118%16 Feb →
mirage13–4-0.088%16 Feb →
nuke13–7-0.0115%16 Feb →
inferno13–160.0412%16 Feb →
anubis12–12-0.0224%6 Feb →
dust29–13-0.079%31 Jan →
mirage13–40.0226%31 Jan →
inferno11–130.0120%25 Jan →
dust213–30.0513%25 Jan →
mirage10–130.0415%28 Dec →
ancient12–12-0.0420%30 Nov →
dust213–40.0417%29 Nov →
inferno13–90.0812%29 Nov →
overpass13–20.0916%29 Nov →
mirage13–10-0.0216%29 Nov →
vertigo13–60.0021%26 Nov →
inferno7–13-0.039%26 Nov →
overpass11–40.0118%26 Nov →
mirage13–5-0.0015%26 Nov →
dust213–11-0.0215%26 Nov →
inferno13–6-0.0113%26 Nov →
dust210–20.0513%23 Nov →
nuke9–13-0.0520%23 Nov →
dust24–13-0.084%13 Nov →
dust213–10.069%30 Oct →
inferno6–13-0.0412%27 Oct →
dust27–13-0.0713%22 Oct →
mirage11–130.0523%22 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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