-XxXfliezzzXxX-

-XxXfliezzzXxX- — CS2 Stats

MX76561198180556322[U:1:220290594]Steam profile ↗✓ No bans

2,602Tracked matches46%Win rate2020Tracked since
3,176Hours in CS3Hrs last 2 wks
CSDB Rating4.7 Developing
Premier CS Rating17,465Purple band · top ~18.6% of ranked players (population est.)
CSDB Leaderboard#13891 of 25468 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.9%47.2%49.0%7.1% short
Shot accuracy14.8%12.3%13.1%above
Kill/death ratio0.891.071.080.19 short
Match win rate43.8%46.3%46.9%3.1% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG-XxXfliezzzXxX-FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,465 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning43
Utility48

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateWLLLLLLLWL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Aim5.6
Aggression4.5
Utility4.8
Positioning4.3
Opening Duels0.7
Clutch1.8

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 83% 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. 643ms 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

Aim5.6
Positioning4.3
Utility4.8
Mechanics6.5
Opening Duels0.7
Win Impact3.8

Composite 4.7/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time643ms−75ms
first ⅓ avg 717ms → last ⅓ avg 643ms
Headshot accuracy14.8%−9.7%
first ⅓ avg 24.4% → last ⅓ avg 14.8%

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

0.12Best rating — dust2 13–4
132Biggest win — cache
6Longest win streak
710In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 69% over 13dust2Weakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%-0.02
dust2D1841422%-0.00
cacheB179853%-0.00
ancientS139469%-0.01
anubisB137654%0.00
infernoB84450%0.01
nukeC73443%0.01
debris1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,640Lifetime kills
0.89K/D
4,851Matches
43.8%Match win rate
41.9%Headshot %
14.8%Shot accuracy · Top 50% of Level 8 players
9,894MVPs
1,807Hours (in match)
5,458Bombs planted
894Bombs defused

Most-used weapons

AK-4722,950
AWP5,417
MP92,534
MAC-102,411
P902,293

Lifetime map wins

14,507dust2
5,448inferno
2,569nuke
1,277vertigo
758train
528cbble
203office
149lake

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

Faceit stats

Combat

963Matches
50%Win rate
0.93Avg K/D
76.3ADR
38%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage12346%0.9314.1
Dust27752%1.0915.4
Ancient5850%1.0115.5
Anubis4947%0.9815.2
Inferno4340%0.9213.8
Nuke2152%0.8413.3
Overpass862%0.9512.8
Vertigo757%0.9816.6

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.

15.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.6%Spray accuracy
79.1%Counter-strafing
12.2°Preaim
643msReaction time
35.2%T opening success
30.2%CT opening success
0.41Enemies flashed / flash
7.6%Flash assists
9.62HE damage / grenade
5.86Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1999° — above the 12° 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 0.4081 — below the 0.5 mark we flag

    Grenade Lineups
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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0812%26 Aug
inferno8–13-0.069%26 Aug
mirage7–13-0.0616%21 Aug
ancient10–13-0.0416%15 Aug
anubis11–13-0.036%12 Aug
ancient6–13-0.1116%11 Aug
dust212–16-0.0617%7 Aug
dust214–16-0.0310%6 Aug
ancient13–110.0217%6 Aug
dust29–13-0.0214%6 Aug
mirage13–7-0.0416%6 Aug
inferno13–11-0.0116%5 Aug
dust213–60.0326%5 Aug
dust28–13-0.0425%5 Aug
cache11–13-0.0412%5 Aug
inferno13–80.0415%5 Aug
anubis13–5-0.1117%5 Aug
cache11–13-0.0417%5 Aug
ancient13–80.0217%5 Aug
inferno16–130.0214%5 Aug
anubis13–80.0315%4 Aug
nuke15–15-0.0512%4 Aug
mirage1–13-0.0719%4 Aug
anubis15–150.0116%4 Aug
nuke13–90.0526%4 Aug
cache13–110.0211%4 Aug
cache16–130.0212%3 Aug
anubis5–130.0111%3 Aug
cache5–130.0320%3 Aug
ancient7–130.0611%3 Aug
mirage2–13-0.065%3 Aug
anubis11–13-0.0410%1 Aug
ancient13–60.0113%31 Jul
dust28–13-0.0823%31 Jul
cache7–13-0.0415%30 Jul
anubis13–40.1018%30 Jul
cache9–130.0017%30 Jul
ancient13–6-0.0520%30 Jul
mirage13–70.0416%30 Jul
cache13–80.0120%30 Jul
cache13–90.0423%30 Jul
dust213–5-0.0717%30 Jul
mirage13–3-0.0122%30 Jul
mirage8–130.0011%30 Jul
nuke10–13-0.0417%29 Jul
dust25–13-0.0118%29 Jul
nuke13–50.0626%29 Jul
anubis13–90.0212%29 Jul
mirage13–10-0.0011%29 Jul
inferno15–150.0025%29 Jul
mirage13–5-0.0235%29 Jul
mirage13–30.0125%28 Jul
mirage13–9-0.0331%28 Jul
ancient13–8-0.0415%28 Jul
mirage10–13-0.0213%28 Jul
mirage13–90.0410%27 Jul
debris3–90.0140%25 Jul
dust22–13-0.0111%25 Jul
dust23–130.0121%25 Jul
dust210–13-0.0318%25 Jul
dust213–40.1217%25 Jul
cache13–2-0.0118%25 Jul
anubis11–130.0619%25 Jul
cache11–130.0123%24 Jul
nuke3–13-0.0222%23 Jul
ancient10–10.0113%23 Jul
ancient13–20.0318%23 Jul
dust215–15-0.0351%23 Jul
mirage13–11-0.0421%23 Jul
mirage13–20.0633%23 Jul
mirage13–16-0.0415%22 Jul
cache5–13-0.0323%21 Jul
cache13–6-0.0114%21 Jul
nuke9–130.0117%21 Jul
dust215–15-0.009%21 Jul
cache13–50.1133%20 Jul
ancient13–90.0323%20 Jul
ancient13–70.0217%20 Jul
anubis13–90.0215%20 Jul
mirage6–130.0231%20 Jul
mirage13–40.018%20 Jul
dust215–150.0518%20 Jul
mirage2–13-0.0817%16 Jul
ancient2–13-0.0338%15 Jul
anubis1–3-0.03100%15 Jul
nuke13–90.0228%15 Jul
dust29–13-0.0128%15 Jul
cache13–11-0.0015%15 Jul
cache14–16-0.0819%15 Jul
inferno13–70.0924%15 Jul
inferno10–130.0421%14 Jul
anubis16–13-0.0220%14 Jul
mirage13–3-0.0421%14 Jul
inferno3–13-0.0424%14 Jul
mirage8–130.0435%14 Jul
mirage11–13-0.0213%14 Jul
anubis13–4-0.0010%14 Jul
cache13–4-0.0121%13 Jul
dust23–130.0221%13 Jul
mirage13–11-0.0524%13 Jul

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 →