FakeDoor — CS2 Stats

76561198840570080[U:1:880304352]

102Tracked matches32%Win rate2023Tracked since
292Hours in CS1Hrs last 2 wks
CSDB Rating3.3 Learning
Ladder ranks via Leetify

Performance scores

Aim46
Positioning53
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY21405Last 6632%Win rateWLLWLWWLLL

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

Player DNA

Aim4.6
Aggression5.9
Utility2.8
Positioning5.3
Opening Duels1.4
Clutch6.0

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 638ms 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

Aim4.6
Positioning5.3
Utility2.8
Mechanics4.6
Opening Duels1.4
Win Impact0.0

Composite 3.3/10 (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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time622ms−7ms
first ⅓ avg 629ms → last ⅓ avg 622ms
Headshot accuracy13.6%−3.9%
first ⅓ avg 17.5% → last ⅓ avg 13.6%

Rolling 5-match average across the last 66 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.07Best rating — inferno 13–8
131Biggest win — inferno
3Longest win streak
39In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 60% over 5trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D1941521%-0.05
infernoB178947%-0.03
mirageD103730%-0.02
ancientC52340%-0.02
nukeA53260%-0.00
trainD5050%-0.02
overpass2020%-0.04
fachwerk110100%-0.03
vertigo1010%-0.05
office1010%-0.07

Across the last 66 tracked matches.

Lifetime stats

6,944Lifetime kills
0.97K/D
347Matches
48.7%Match win rate · Top 50% of tracked players
41.9%Headshot %
3.8%Shot accuracy
1,007MVPs
141Hours (in match)
213Bombs planted
233Bombs defused

Most-used weapons

Lifetime map wins

1,104dust2
1,100inferno
422nuke
47train
42vertigo
18office
15italy
8cbble

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

Faceit stats

Combat

3Matches
100%Win rate
0.77Avg K/D
62.2ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%0.8312.5
Dust21100%0.6513.0

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.

14.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.5%Spray accuracy
70.7%Counter-strafing
11.3°Preaim
638msReaction time
34.8%T opening success
36.8%CT opening success
0.46Enemies flashed / flash
4.8%Flash assists
3.36HE damage / grenade
3.08Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6423% — below the 15% mark we flag

    Aim Training
  2. 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 0.4561 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 34.7781% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0116%27 Aug
dust23–13-0.0710%10 Aug
dust25–13-0.0422%31 Jul
fachwerk13–5-0.0311%14 Jul
vertigo1–13-0.0512%26 Jun
inferno13–8-0.0416%27 May
inferno13–7-0.0213%27 May
dust28–13-0.118%19 May
dust26–13-0.0420%18 May
inferno3–13-0.1012%17 May
ancient12–12-0.0617%17 May
dust21–13-0.029%17 May
mirage4–13-0.0420%15 May
overpass9–13-0.1013%13 May
inferno13–5-0.0321%13 May
dust23–13-0.0510%13 May
inferno13–8-0.064%13 May
dust24–13-0.0224%16 Apr
dust211–13-0.069%16 Apr
inferno12–12-0.064%23 Mar
inferno13–10.0415%22 Mar
ancient13–10-0.0213%22 Mar
ancient10–130.0441%9 Mar
nuke5–130.0023%9 Mar
mirage4–13-0.0317%9 Mar
dust26–13-0.0115%9 Mar
inferno11–130.0011%25 Feb
dust213–6-0.0111%3 Feb
mirage8–13-0.0514%15 Dec
mirage5–130.039%12 Dec
train11–13-0.058%12 Dec
dust211–130.0217%12 Dec
mirage9–13-0.0811%11 Dec
inferno1–13-0.098%11 Dec
inferno13–80.0723%10 Dec
train8–13-0.0316%10 Dec
nuke13–100.0012%14 Nov
nuke13–7-0.0521%12 Nov
ancient13–50.0319%11 Nov
mirage12–120.0121%11 Nov
train7–130.0723%11 Nov
mirage13–7-0.0228%2 Nov
inferno3–8-0.070%2 Nov
dust211–13-0.0626%2 Nov
dust24–13-0.129%18 Oct
dust213–11-0.0416%26 Sept
mirage13–11-0.0420%15 Sept
inferno13–10-0.0114%15 Sept
overpass12–120.0211%7 Sept
dust213–9-0.0122%5 Sept
office10–13-0.0735%5 Sept
inferno13–90.0318%5 Sept
train4–13-0.1012%5 Sept
nuke13–30.0422%1 Mar
dust211–13-0.0431%1 Mar
inferno7–13-0.068%26 Feb
dust29–13-0.088%26 Feb
dust213–11-0.0415%19 Feb
nuke10–13-0.0011%15 Feb
inferno2–13-0.1360%8 Feb
train11–13-0.013%8 Feb
ancient8–13-0.099%8 Feb
mirage11–130.0613%31 Jan
inferno11–13-0.0520%31 Jan
inferno12–12-0.0311%30 Jan
dust28–13-0.0617%29 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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