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maszeszka

maszeszka — CS2 Stats

PL76561199164953611[U:1:1204687883]Steam profile ↗

206Tracked matches63%Win rate2025Tracked since
231Hours in CS
CSDB Rating4.2 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.4%44.0%44.7%1.4% short
Shot accuracy1.5%11.6%11.9%10.4% short
Kill/death ratio0.921.031.040.12 short
Match win rate48.5%45.1%45.2%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmaszeszkaFACEITLevel 5STANDINGTop 67.6% 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

Aim46
Positioning38
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLLWWWWLWWL

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Aim4.6
Aggression3.8
Utility2.6
Positioning3.8
Opening Duels0.6
Clutch0.0

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 70% 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. 626ms 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
Positioning3.8
Utility2.6
Mechanics4.5
Opening Duels0.7
Win Impact9.4

Composite 4.2/10 (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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time642ms+22ms
first ⅓ avg 620ms → last ⅓ avg 642ms
Headshot accuracy13.5%−3.2%
first ⅓ avg 16.7% → last ⅓ avg 13.5%

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

0.12Best rating — mirage 13–9
13–0Biggest win — anubis
5Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 80% over 15infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3720–1754%-0.00
dust2C177–1041%-0.04
ancientS1512–380%-0.02
anubisA149–564%0.00
infernoD122–1017%-0.03
nuke—22–0100%0.03
cache—11–0100%-0.03
italy—11–0100%0.01
warden—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,249Lifetime kills
0.92K/D
724Matches
48.5%Match win rate · Top 25% of Level 5 players
43.4%Headshot %
1.5%Shot accuracy
1,362MVPs
231Hours (in match)
494Bombs planted
143Bombs defused

Most-used weapons

AK-472,734
M4A4 / M4A1-S1,863
AWP1,075
P2000 / USP-S585
Desert Eagle562
Glock-18383
MP9345
MP7333
Galil AR252
MAC-10198

Lifetime map wins

1,036inferno
1,031dust2
549nuke
178vertigo
41lake
13italy
13train
7ar_shoots

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

Faceit stats

Combat

33Matches
52%Win rate
0.76Avg K/D
65.9ADR
47%Headshot %

Clutches & streaks

20%1v1 clutch win
8%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1030%0.7515.2
Anubis933%0.6612.6
Dust2771%0.709.1
Inferno3100%0.9215.0
Nuke250%0.558.0
Ancient1100%0.9110.0
Cache1100%2.0016.0

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.

13.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.6%Spray accuracy
70.4%Counter-strafing
11.0°Preaim
626msReaction time
28.6%T opening success
35.8%CT opening success
0.51Enemies flashed / flash
1.8%Flash assists
3.80HE damage / grenade
6.89Flashes / 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 13.47% — below the 15% mark we flag

    Aim Training →
  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 28.6348% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.025%30 Jul →
mirage8–13-0.0523%30 Jul →
ancient13–70.028%30 Jul →
dust213–1-0.018%29 Jul →
cache13–5-0.0312%29 Jul →
mirage13–8-0.029%29 Jul →
ancient2–13-0.078%28 Jul →
mirage13–60.0711%10 Jul →
mirage13–6-0.038%9 Jul →
mirage10–130.0317%9 Jul →
ancient13–6-0.0414%9 Jul →
anubis13–50.0422%4 Jul →
ancient12–2-0.0523%4 Jul →
mirage13–90.0117%3 Jul →
dust25–13-0.140%26 Jun →
mirage13–5-0.079%26 Jun →
ancient13–10-0.057%26 Jun →
mirage13–10.068%26 Jun →
dust216–13-0.0717%28 May →
anubis13–11-0.125%5 May →
mirage8–13-0.0624%16 Apr →
inferno4–9-0.1331%14 Apr →
italy13–80.0119%12 Apr →
inferno10–13-0.0712%10 Apr →
dust210–13-0.210%8 Apr →
ancient12–160.0221%5 Apr →
mirage13–70.0713%2 Apr →
dust213–16-0.0117%2 Apr →
inferno13–100.0514%31 Mar →
ancient13–60.0422%31 Mar →
mirage6–13-0.035%30 Mar →
mirage13–10-0.0819%25 Mar →
mirage8–13-0.0716%23 Mar →
mirage1–5-0.060%21 Mar →
inferno11–130.0422%18 Mar →
mirage12–12-0.0318%18 Mar →
inferno16–130.0121%17 Mar →
mirage1–7-0.048%16 Mar →
dust211–13-0.1012%15 Mar →
anubis13–0-0.0128%15 Mar →
inferno6–130.0123%15 Mar →
nuke13–100.029%14 Mar →
warden11–13-0.0626%14 Mar →
dust28–130.0325%14 Mar →
anubis9–130.0116%14 Mar →
ancient13–8-0.0218%14 Mar →
dust213–7-0.0018%14 Mar →
mirage15–15-0.0217%13 Mar →
nuke13–70.0323%13 Mar →
dust214–160.0317%13 Mar →
mirage13–100.0110%13 Mar →
dust25–13-0.0713%11 Mar →
dust213–4-0.0317%11 Mar →
mirage13–20.0223%11 Mar →
ancient13–8-0.039%11 Mar →
anubis13–70.0325%11 Mar →
mirage13–8-0.0417%11 Mar →
anubis14–160.0314%10 Mar →
mirage8–13-0.0414%10 Mar →
dust216–140.0119%9 Mar →
inferno9–130.0120%8 Mar →
inferno1–4-0.1425%8 Mar →
anubis16–130.0113%7 Mar →
mirage13–60.0031%6 Mar →
mirage10–13-0.0024%6 Mar →
ancient13–5-0.0526%5 Mar →
ancient16–140.0020%5 Mar →
dust213–100.0120%5 Mar →
mirage13–4-0.0115%27 Feb →
mirage13–6-0.0110%27 Feb →
dust28–13-0.0417%26 Feb →
anubis9–130.0319%26 Feb →
dust25–13-0.0426%23 Feb →
ancient13–10-0.0216%19 Feb →
mirage16–140.0117%19 Feb →
anubis6–130.0721%18 Feb →
mirage13–9-0.0417%17 Feb →
mirage11–130.0620%17 Feb →
anubis2–12-0.070%13 Feb →
dust27–13-0.0630%11 Feb →
ancient13–110.0021%10 Feb →
mirage13–100.0416%9 Feb →
mirage14–160.0415%9 Feb →
mirage15–150.0021%9 Feb →
anubis13–100.0229%9 Feb →
anubis13–3-0.0111%9 Feb →
mirage13–20.0322%9 Feb →
inferno7–13-0.0014%9 Feb →
ancient13–30.0416%8 Feb →
mirage11–130.0525%7 Feb →
mirage13–9-0.019%5 Feb →
inferno11–130.0312%3 Feb →
mirage13–90.1225%3 Feb →
mirage6–12-0.0221%3 Feb →
anubis13–70.0013%3 Feb →
ancient1–6-0.090%3 Feb →
dust213–50.089%2 Feb →
inferno2–13-0.0713%2 Feb →
inferno15–15-0.0318%2 Feb →
anubis13–110.0014%2 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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