Mlodziutki

Mlodziutki — CS2 Stats

76561198369413176[U:1:409147448]Steam profile ↗

1,130Tracked matches47%Win rate2020Tracked since
4,236Hours in CS11Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating23,934Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#7891 of 45151 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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 playerPink band medianRed band medianvs Red band
Headshot rate50.0%47.1%50.0%meets
Shot accuracy17.5%12.8%13.5%above
Kill/death ratio1.151.081.13meets
Match win rate44.9%46.6%48.4%3.5% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMlodziutkiPREMIER23,934 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning42
Utility55

0–100 skill scores via Leetify.

Recent form

COLD44533Last 10044%Win rateLWLLLWLLWL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim8.4
Aggression6.1
Utility5.5
Positioning4.2
Opening Duels1.4
Clutch4.4

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

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

Where you differ: lower positioning profile; lower utility contribution.

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 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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

Aim8.4
Positioning4.2
Utility5.5
Mechanics6.8
Opening Duels1.5
Win Impact3.9

Composite 5.9/10 (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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time566ms−59ms
first ⅓ avg 625ms → last ⅓ avg 566ms
Headshot accuracy23.4%−1.9%
first ⅓ avg 25.4% → last ⅓ avg 23.4%

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

0.31Best rating — inferno 9–4
131Biggest win — vertigo
4Longest win streak
711In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 62% over 13ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC1981142%0.02
infernoC1881044%0.03
mirageC1661038%0.02
nukeA138562%0.04
dust2C125742%0.01
ancientD62433%-0.02
anubis42250%0.04
vertigo31233%0.05
overpass31233%0.02
office31233%0.01
train21150%0.07
poseidon110100%0.20

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,643Lifetime kills
1.15K/D · Top 50% of Pink band
6,493Matches
44.9%Match win rate
50.0%Headshot % · Top 50% of Pink band
17.5%Shot accuracy · Top 25% of Pink band
18,639MVPs
2,610Hours (in match)
4,922Bombs planted
1,789Bombs defused

Most-used weapons

AK-4740,538
AWP23,714
P2505,874
MAC-103,302
SSG 082,700
Knife2,616

Lifetime map wins

7,397inferno
5,292dust2
3,706nuke
2,833train
1,784cbble
927vertigo
560office
214lake

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

Faceit stats

Combat

1,021Matches
53%Win rate
1.13Avg K/D
82.7ADR
51%Headshot %

Clutches & streaks

42%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage14452%1.0917.6
Nuke8657%1.2918.3
Inferno8561%1.1918.4
Ancient7544%0.9715.4
Dust25744%1.0616.1
Anubis4344%0.9114.2
Overpass3959%1.1118.1
Train2348%1.0416.1

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.

22.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
45.3%Spray accuracy
80.4%Counter-strafing
10.1°Preaim
550msReaction time
29.5%T opening success
41.8%CT opening success
0.51Enemies flashed / flash
8.4%Flash assists
9.88HE damage / grenade
10.56Flashes / 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. 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 29.5146% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–160.0218%29 Aug
inferno16–130.0527%29 Aug
inferno9–130.0218%27 Aug
nuke9–130.0032%26 Aug
mirage10–13-0.0118%26 Aug
cache13–11-0.0022%26 Aug
mirage8–90.0429%20 Aug
dust25–13-0.0421%19 Aug
inferno13–90.0615%18 Aug
cache7–13-0.0133%17 Aug
dust26–13-0.0027%17 Aug
cache13–20.0118%15 Aug
inferno13–100.0425%15 Aug
inferno11–130.0333%15 Aug
mirage7–13-0.0615%15 Aug
cache13–4-0.0428%13 Aug
dust213–30.0624%13 Aug
mirage9–13-0.0012%9 Aug
ancient13–6-0.0213%9 Aug
mirage13–100.0730%9 Aug
anubis13–30.0926%7 Aug
nuke13–8-0.0412%7 Aug
mirage2–13-0.0224%7 Aug
cache5–13-0.0221%7 Aug
dust213–20.0531%7 Aug
cache6–10.0124%7 Aug
inferno8–13-0.0321%7 Aug
cache5–130.0130%4 Aug
mirage9–130.0223%4 Aug
cache13–50.1129%3 Aug
cache13–100.0418%3 Aug
cache14–160.0338%2 Aug
anubis16–140.0121%1 Aug
dust216–130.0123%1 Aug
cache11–130.019%27 Jul
inferno5–130.0118%24 Jul
inferno13–9-0.0217%24 Jul
nuke11–130.1419%23 Jul
inferno11–130.0335%23 Jul
nuke13–110.0938%23 Jul
cache14–16-0.0614%20 Jul
nuke9–13-0.0217%20 Jul
mirage13–100.0117%20 Jul
nuke10–13-0.0311%15 Jul
mirage13–80.0428%15 Jul
inferno13–100.0433%14 Jul
nuke13–100.0922%14 Jul
cache13–70.0229%14 Jul
cache7–130.0426%8 Jul
dust21–130.0731%8 Jul
anubis13–160.0314%3 Jul
nuke13–4-0.0324%3 Jul
inferno4–130.0221%3 Jul
nuke4–13-0.0724%2 Jul
dust213–110.1029%2 Jul
ancient13–50.0567%2 Jul
anubis9–130.0319%2 Jul
mirage5–13-0.0222%2 Jul
inferno8–13-0.0318%1 Jul
nuke13–50.0617%1 Jul
mirage10–130.0220%1 Jul
mirage2–00.1033%1 Jul
ancient4–13-0.1014%30 Jun
mirage5–130.0410%29 Jun
nuke13–60.1024%29 Jun
mirage13–70.1041%29 Jun
inferno1–13-0.0523%28 Jun
nuke13–90.0230%28 Jun
dust25–13-0.0416%22 Jun
inferno10–130.1130%22 Jun
inferno13–100.0522%8 Jun
ancient0–13-0.0522%8 Jun
ancient8–13-0.0319%8 Jun
cache11–130.0123%3 Jun
vertigo13–10.0422%3 Jun
dust25–13-0.0517%3 Jun
vertigo12–120.1339%3 Jun
cache10–130.0822%29 May
cache13–70.0726%25 May
dust29–13-0.0125%22 May
overpass7–130.1028%22 May
dust213–8-0.0414%22 May
mirage13–90.0236%19 May
overpass6–13-0.1021%19 May
office12–120.0023%13 May
office13–40.0224%13 May
office12–120.0045%13 May
cache10–130.0221%9 May
cache11–130.0222%9 May
inferno13–60.0217%9 May
train13–110.0946%22 Apr
train2–130.0433%22 Apr
nuke9–10.2429%22 Apr
vertigo7–9-0.0216%22 Apr
inferno9–40.3116%22 Apr
poseidon9–30.2028%22 Apr
inferno6–13-0.0432%16 Apr
overpass13–110.0522%15 Apr
dust23–130.0326%15 Apr
ancient5–13-0.0025%13 Apr

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →