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Kowalski

Kowalski — CS2 Stats

FI76561198351475658[U:1:391209930]Steam profile ↗

1,452Tracked matches53%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating17,774Purple band · top ~17.4% of ranked players (population est.)
CSDB Leaderboard#16304 of 31449 tracked
FaceitLevel 7 · 1,264 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKowalskiFACEITLevel 7 · 1,264 ELOSTANDINGTop 42.3% of rankedPREMIER17,774 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLWWLLWLLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.7
Aggression4.1
Utility4.9
Positioning4.3
Opening Duels1.4
Clutch3.2

Strong 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 86% playstyle similarity

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

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

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.7
Positioning4.3
Utility4.9
Mechanics7.0
Opening Duels1.8
Win Impact6.1

Composite 5.4/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time664ms−41ms
first ⅓ avg 706ms → last ⅓ avg 664ms
Headshot accuracy25.0%−1.2%
first ⅓ avg 26.3% → last ⅓ avg 25.0%

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

0.13Best rating — mirage 13–7
13–0Biggest win — dust2
10Longest win streak
8–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%-0.01
cacheB2111–1052%-0.02
dust2B2110–1148%-0.02
infernoC104–640%-0.02
anubisA85–363%-0.02
ancientB84–450%-0.02
nukeS64–267%0.01
vertigo—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,099Matches
50%Win rate
0.85Avg K/D
69.0ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5345%0.9013.7
Inferno4154%0.7712.3
Anubis3954%0.9213.8
Ancient3661%0.8412.8
Vertigo2756%0.8013.9
Nuke2236%0.8512.6
Dust21953%0.8013.6
Train1155%0.9214.6

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.

25.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.5%Spray accuracy
81.3%Counter-strafing
9.9°Preaim
650msReaction time
27.1%T opening success
44.4%CT opening success
0.52Enemies flashed / flash
7.2%Flash assists
8.24HE damage / grenade
8.25Flashes / 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 27.1061% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0323%29 Aug →
mirage9–130.0121%29 Aug →
inferno16–130.0416%28 Aug →
vertigo13–110.0618%27 Aug →
cache8–13-0.1117%27 Aug →
dust27–13-0.0621%27 Aug →
mirage13–90.0227%24 Aug →
dust22–8-0.0929%20 Aug →
dust211–13-0.0335%20 Aug →
mirage5–13-0.0022%19 Aug →
dust213–80.0128%19 Aug →
inferno11–13-0.0113%16 Aug →
mirage8–13-0.0825%16 Aug →
dust21–13-0.0843%16 Aug →
cache13–8-0.0022%16 Aug →
mirage9–13-0.0126%16 Aug →
cache8–13-0.0227%15 Aug →
cache13–80.0028%15 Aug →
cache13–10-0.0626%15 Aug →
anubis13–160.0028%14 Aug →
mirage2–13-0.0821%14 Aug →
mirage4–130.0131%14 Aug →
mirage13–8-0.0125%14 Aug →
dust26–3-0.0825%14 Aug →
dust213–50.0526%14 Aug →
anubis13–90.0726%14 Aug →
cache13–9-0.0437%13 Aug →
inferno13–11-0.0030%13 Aug →
nuke13–5-0.0742%13 Aug →
dust213–00.0317%13 Aug →
dust216–140.0316%13 Aug →
anubis13–11-0.0320%13 Aug →
cache2–7-0.0517%13 Aug →
cache8–13-0.0133%5 Aug →
dust210–13-0.0225%5 Aug →
mirage15–150.0519%3 Aug →
inferno9–13-0.0433%3 Aug →
dust211–13-0.0220%3 Aug →
mirage9–13-0.0412%3 Aug →
dust24–13-0.0826%30 Jul →
vertigo6–9-0.0422%30 Jul →
nuke13–100.0623%30 Jul →
ancient3–13-0.0310%30 Jul →
mirage13–70.1327%30 Jul →
mirage4–13-0.0812%29 Jul →
nuke13–50.0627%29 Jul →
ancient13–10-0.0127%29 Jul →
inferno9–13-0.0028%28 Jul →
mirage10–130.0524%28 Jul →
nuke13–50.1022%28 Jul →
dust213–90.0126%28 Jul →
dust213–70.0121%28 Jul →
inferno13–9-0.0321%27 Jul →
mirage13–6-0.0718%24 Jul →
inferno7–13-0.0224%23 Jul →
anubis13–8-0.0616%23 Jul →
dust25–13-0.0539%23 Jul →
dust216–130.0217%23 Jul →
dust24–13-0.0522%22 Jul →
cache13–11-0.0612%21 Jul →
anubis13–4-0.0830%21 Jul →
ancient13–11-0.0233%21 Jul →
ancient13–2-0.0236%19 Jul →
mirage13–4-0.0525%17 Jul →
dust27–130.0332%15 Jul →
mirage10–1-0.0143%15 Jul →
mirage9–13-0.0120%15 Jul →
ancient11–130.0222%15 Jul →
cache16–14-0.0522%15 Jul →
inferno13–5-0.0230%15 Jul →
ancient11–13-0.0948%15 Jul →
inferno7–13-0.0810%15 Jul →
cache2–13-0.0567%15 Jul →
nuke5–13-0.0342%15 Jul →
anubis4–130.0026%14 Jul →
ancient13–1-0.0228%14 Jul →
mirage1–13-0.0241%14 Jul →
cache13–3-0.0523%14 Jul →
cache13–70.0737%14 Jul →
mirage16–14-0.0325%14 Jul →
cache16–120.1326%14 Jul →
cache1–13-0.0719%14 Jul →
mirage13–50.0725%14 Jul →
ancient13–160.0422%13 Jul →
cache13–90.0335%13 Jul →
cache10–13-0.0424%13 Jul →
mirage13–9-0.0832%13 Jul →
dust213–5-0.0118%13 Jul →
cache8–13-0.0519%13 Jul →
cache13–20.0426%13 Jul →
dust24–13-0.1012%13 Jul →
mirage7–130.0018%12 Jul →
anubis1–13-0.0610%12 Jul →
mirage13–10-0.0413%11 Jul →
mirage7–2-0.0223%11 Jul →
cache4–130.0221%11 Jul →
inferno15–15-0.0712%11 Jul →
cache7–130.0134%11 Jul →
dust213–6-0.0334%11 Jul →
nuke8–13-0.0624%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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