Lieszaaaa

Lieszaaaa — CS2 Stats

76561198181019749[U:1:220754021]Steam profile ↗

2,947Tracked matches37%Win rate2020Tracked since
CSDB Rating5.7 SolidPassive Rifler
CSDB Leaderboard#22261 of 26649 tracked
FaceitLevel 10 · 2,888 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

2,888Peak Faceit ELO on CSDB
1Days observed since 2026-08-27

Faceit ELO

  • At peak — 2,888
  • Next: 3,000 ELO at 3,000 112 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGLieszaaaaFACEITLevel 10 · 2,888 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,888csdb.gg/stats

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Performance scores

Aim85
Positioning48
Utility53

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateLWLLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression3.3
Utility5.3
Positioning4.8
Opening Duels1.5
Clutch3.4

Sharp aimerStrong CT-side opener

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 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5
Positioning4.8
Utility5.3
Mechanics6.4
Opening Duels2.2
Win Impact0.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time534ms−82ms
first ⅓ avg 617ms → last ⅓ avg 534ms
Headshot accuracy23.2%+2.3%
first ⅓ avg 20.8% → last ⅓ avg 23.2%

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

0.22Best rating — train 13–4
132Biggest win — mirage
7Longest win streak
812In matches decided by ≤2 rounds
11Overtime games

Map breakdown

officeBest map · 86% over 7mirageWeakest map · 31% over 26
MapGradePlayedRecordWin rateAvg rating
mirageD2681831%0.00
anubisC1871139%0.02
dust2C145936%0.02
nukeB84450%0.01
officeS76186%0.02
cacheS64267%0.02
ancientS65183%0.06
overpassD62433%0.02
inferno32167%0.01
train31233%0.12
vertigo32167%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,241Matches
51%Win rate
1.05Avg K/D
76.5ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage101650%1.0615.7
Anubis69354%1.1016.2
Dust258947%1.0115.2
Inferno39551%1.0215.8
Nuke24953%1.0315.5
Overpass11257%1.0315.3
Ancient5845%0.8714.2
Cache3459%1.2116.7

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.

23.0%Headshot accuracy
37.6%Accuracy (enemy spotted)
45.1%Spray accuracy
78.7%Counter-strafing
10.8°Preaim
527msReaction time
24.5%T opening success
47.6%CT opening success
0.53Enemies flashed / flash
8.3%Flash assists
5.47HE damage / grenade
9.41Flashes / 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

    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 24.5372% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0118%28 Aug
inferno13–80.0028%21 Aug
cache5–13-0.1027%21 Aug
dust25–13-0.0121%21 Aug
mirage16–19-0.0223%17 Aug
mirage13–16-0.0517%17 Aug
mirage2–13-0.0213%15 Aug
anubis2–13-0.0226%12 Aug
dust25–13-0.0132%10 Aug
anubis14–16-0.0410%28 Jul
mirage8–13-0.0727%26 Jul
ancient13–90.0630%25 Jul
mirage13–100.0233%24 Jul
anubis11–130.0215%23 Jul
anubis13–60.0218%22 Jul
mirage9–130.0612%19 Jul
nuke5–13-0.0221%18 Jul
cache10–130.0418%14 Jul
mirage11–130.0527%12 Jul
anubis13–8-0.029%11 Jul
mirage16–140.0528%9 Jul
dust213–110.1132%8 Jul
cache13–60.0629%7 Jul
inferno3–13-0.0313%4 Jul
nuke13–8-0.0516%4 Jul
cache13–80.1034%26 Jun
train13–40.2224%17 Jun
mirage9–130.0817%15 Jun
office7–13-0.0243%12 Jun
anubis9–130.0929%3 Jun
anubis6–130.0116%27 May
anubis13–100.0723%27 May
office13–50.0232%21 May
mirage5–13-0.0412%21 May
office13–50.0817%20 May
ancient13–100.0718%20 May
ancient13–90.0724%20 May
mirage13–110.0128%17 May
office13–10-0.0347%14 May
office13–70.0522%14 May
dust213–70.0230%7 May
anubis7–13-0.0319%5 May
overpass12–160.0117%5 May
nuke11–130.0528%5 May
nuke13–90.0126%3 May
cache13–100.0727%29 Apr
anubis4–130.0429%28 Apr
nuke13–110.0216%26 Apr
dust214–160.0312%26 Apr
anubis14–160.0219%25 Apr
cache13–11-0.047%25 Apr
nuke14–160.0323%23 Apr
mirage4–13-0.0621%23 Apr
train12–120.1127%22 Apr
train11–130.0219%22 Apr
inferno13–70.0520%20 Apr
mirage16–140.0822%17 Apr
mirage13–20.1318%15 Apr
dust211–130.0218%15 Apr
mirage11–13-0.0118%14 Apr
dust29–13-0.0222%14 Apr
dust216–120.0324%9 Apr
mirage13–5-0.0533%8 Apr
vertigo8–130.0621%8 Apr
vertigo13–70.0822%8 Apr
mirage13–50.0221%7 Apr
overpass5–13-0.0419%6 Apr
dust213–30.1116%4 Apr
anubis13–60.0344%1 Apr
anubis13–40.2022%1 Apr
ancient13–90.0719%26 Mar
ancient13–30.1417%26 Mar
mirage8–130.0120%25 Mar
mirage13–50.0522%22 Mar
office13–80.0315%19 Mar
office13–70.018%19 Mar
dust29–130.0124%17 Mar
overpass6–130.0812%14 Mar
mirage14–16-0.0119%9 Mar
mirage10–13-0.0420%9 Mar
overpass13–100.0112%26 Feb
anubis13–80.0421%21 Feb
overpass8–13-0.0320%21 Feb
mirage9–130.0238%21 Feb
nuke13–80.0512%20 Feb
ancient9–13-0.0538%20 Feb
anubis4–130.0429%20 Feb
vertigo13–110.0334%15 Feb
anubis9–13-0.0220%15 Feb
mirage7–130.0120%15 Feb
dust28–13-0.0410%14 Feb
dust211–130.0823%13 Feb
anubis13–11-0.0121%13 Feb
dust213–70.0222%12 Feb
anubis10–13-0.0513%10 Feb
nuke6–13-0.0032%10 Feb
mirage6–13-0.0116%7 Feb
mirage8–13-0.0619%7 Feb
overpass13–80.0821%7 Feb
dust25–13-0.0410%6 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →