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Kowalski

Kowalski — CS2 Stats

CA76561198165433798[U:1:205168070]Steam profile ↗

191Tracked matches50%Win rate2025Tracked since
166Hours in CS42Hrs last 2 wks
CSDB Rating2.9 Learning
Premier CS Rating3,906Grey band · top ~83.4% of ranked players (population est.)
CSDB Leaderboard#14364 of 18586 tracked
Ladder ranks via Leetify

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CSDB.GGKowalskiPREMIER3,906 · Grey bandcsdb.gg/stats

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Performance scores

Aim42
Positioning36
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLWWWWWLWLL

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

Player DNA

Aim4.2
Aggression1.6
Utility0.7
Positioning3.6
Opening Duels0.0
Clutch2.6

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 63% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim 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

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

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.6
Utility0.7
Mechanics4.3
Opening Duels0.4
Win Impact5.0

Composite 2.9/10 (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-0.03+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time642ms−128ms
first ⅓ avg 770ms → last ⅓ avg 642ms
Headshot accuracy15.7%+0.4%
first ⅓ avg 15.3% → last ⅓ avg 15.7%

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

0.08Best rating — dust2 5–0
13–2Biggest win — mirage
7Longest win streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2815–1354%-0.04
dust2C2610–1638%-0.05
infernoD122–1017%-0.07
cacheD124–833%-0.05
ancientA106–460%-0.05
nukeC73–443%-0.05
anubis—42–250%-0.01
train—11–0100%-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

1,962Lifetime kills
0.51K/D
199Matches
33.2%Match win rate
48.1%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
180MVPs
74Hours (in match)
110Bombs planted
22Bombs defused

Most-used weapons

M4A4 / M4A1-S689
AK-47582
P2000 / USP-S150
AWP124
Glock-18110
P9093
Galil AR31
MAC-1030
MP721
SSG 0821

Lifetime map wins

529dust2
182inferno
182nuke
32train
26vertigo

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

Faceit stats

Combat

15Matches
20%Win rate
0.49Avg K/D
51.0ADR
59%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2617%0.5610.3
Mirage540%0.5310.6
Cache10%0.508.0
Anubis10%0.142.0
Inferno10%0.447.0
Ancient10%0.356.0

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.

15.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
32.1%Spray accuracy
69.4%Counter-strafing
12.2°Preaim
645msReaction time
19.5%T opening success
33.0%CT opening success
0.21Enemies flashed / flash
5.8%Flash assists
1.21HE damage / grenade
0.50Flashes / 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 12.2473° — 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 0.2064 — below the 0.5 mark we flag

    Grenade Lineups →
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
inferno10–13-0.069%28 Aug →
ancient13–7-0.0323%28 Aug →
anubis13–110.0520%28 Aug →
mirage13–30.0710%28 Aug →
dust213–8-0.0517%28 Aug →
dust213–60.0116%28 Aug →
mirage5–13-0.0313%28 Aug →
nuke13–100.0624%28 Aug →
inferno3–13-0.0522%28 Aug →
dust23–13-0.0710%28 Aug →
cache2–13-0.1217%27 Aug →
mirage13–90.0110%27 Aug →
dust213–70.0319%27 Aug →
mirage13–5-0.0219%27 Aug →
ancient13–7-0.0427%27 Aug →
cache13–30.0210%27 Aug →
cache4–13-0.1010%26 Aug →
inferno5–13-0.116%24 Aug →
cache3–13-0.0531%24 Aug →
mirage11–13-0.078%24 Aug →
mirage10–10.0519%24 Aug →
anubis7–13-0.057%23 Aug →
inferno13–50.0216%23 Aug →
mirage9–13-0.0117%23 Aug →
cache5–130.0015%23 Aug →
dust213–6-0.0211%23 Aug →
dust28–13-0.0313%23 Aug →
inferno7–13-0.0711%22 Aug →
inferno13–16-0.0516%22 Aug →
mirage13–6-0.0318%22 Aug →
cache9–13-0.0321%20 Aug →
nuke2–13-0.1014%20 Aug →
mirage12–12-0.0120%19 Aug →
dust27–13-0.0521%19 Aug →
mirage4–13-0.070%17 Aug →
ancient7–13-0.0510%17 Aug →
mirage8–13-0.0030%16 Aug →
cache7–13-0.0613%16 Aug →
mirage3–13-0.076%16 Aug →
dust29–13-0.1316%16 Aug →
mirage5–13-0.0614%16 Aug →
mirage9–13-0.0713%16 Aug →
cache13–7-0.0315%16 Aug →
dust213–10-0.0710%16 Aug →
ancient13–100.0121%16 Aug →
mirage13–40.0417%16 Aug →
dust213–7-0.059%16 Aug →
ancient13–8-0.0519%16 Aug →
mirage13–80.0415%16 Aug →
dust24–13-0.096%16 Aug →
nuke10–13-0.037%16 Aug →
dust25–130.059%15 Aug →
train13–11-0.0626%15 Aug →
dust25–13-0.0737%15 Aug →
mirage11–8-0.078%15 Aug →
mirage6–13-0.1515%15 Aug →
mirage13–7-0.0421%14 Aug →
cache13–11-0.0613%14 Aug →
nuke16–12-0.0710%14 Aug →
dust27–13-0.0210%14 Aug →
inferno13–9-0.126%14 Aug →
mirage11–13-0.077%12 Aug →
mirage5–13-0.1410%12 Aug →
nuke6–13-0.0713%12 Aug →
dust29–13-0.0327%9 Aug →
mirage13–2-0.0118%9 Aug →
dust213–8-0.0618%9 Aug →
inferno2–13-0.1119%9 Aug →
cache11–13-0.0821%9 Aug →
mirage13–3-0.0611%9 Aug →
dust22–13-0.0511%9 Aug →
nuke15–15-0.108%9 Aug →
dust214–16-0.0817%9 Aug →
mirage13–9-0.0810%8 Aug →
ancient3–13-0.0620%8 Aug →
mirage2–13-0.0710%8 Aug →
dust23–13-0.0913%8 Aug →
inferno6–13-0.0412%8 Aug →
dust27–13-0.0319%8 Aug →
ancient8–13-0.0810%5 Aug →
ancient13–11-0.0511%4 Aug →
mirage16–13-0.0722%4 Aug →
dust22–13-0.0517%3 Aug →
dust213–10-0.105%3 Aug →
anubis2–13-0.0617%3 Aug →
inferno11–13-0.088%3 Aug →
mirage13–11-0.0312%2 Aug →
ancient13–9-0.0721%2 Aug →
anubis13–20.0410%2 Aug →
cache13–3-0.0020%2 Aug →
dust25–00.0843%2 Aug →
ancient11–13-0.0711%1 Aug →
dust21–13-0.1211%26 Jul →
mirage13–5-0.088%19 Jul →
dust20–13-0.0624%29 Apr →
cache6–10-0.0519%29 Apr →
inferno6–13-0.1227%29 Apr →
inferno8–13-0.0813%28 Apr →
nuke13–11-0.0613%28 Apr →
dust213–9-0.0514%28 Apr →

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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