Kowalski24

Kowalski24 — CS2 Stats

76561198217961739[U:1:257696011]Steam profile ↗✓ No bans

1,558Tracked matches36%Win rate2021Tracked since
CSDB Rating3.2 LearningPositional Player
CSDB Leaderboard#84574 of 257533 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,558
−3.6ppWin rate · 39.3% → 35.7%

Rating over time

Premier CS Rating: 19,999 +463 7 Jun – 23 Sept · 9 days played
19,43120,283peak 20,2837 Jun23 Sept
20,508Peak Premier in tracked matches
35Days played since 2026-06-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKowalski24FACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim34
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLLLWLTLLLW

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · −2.7pp headshot accuracy · +72ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 739ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 714ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim3.4
Utility3.2
Positioning4.2
Opening Duels2.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 46% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.4
Positioning4.2
Utility3.2
Mechanics4.0
Opening Duels2.0
Win Impact0.2

Composite 3.2/10 (Learning), 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 time678ms+15ms
first ⅓ avg 663ms → last ⅓ avg 678ms
Headshot accuracy15.1%+1.7%
first ⅓ avg 13.4% → last ⅓ avg 15.1%

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.

Personal bests

0.14Best match rating · 13–7 · anubis, 10 Jul →
45%Best headshot accuracy · 5–13 · dust2, 8 Oct →
438msFastest reaction time · 2–13 · ancient, 22 Jul →
13–1Biggest win · mirage, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 55% over 11dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC2511–1444%-0.01
infernoC156–940%-0.03
mirageC156–940%-0.02
anubisA116–555%-0.02
cacheB105–550%-0.02
ancientD82–625%-0.01
dust2D71–614%-0.02
vertigo—44–0100%0.05
train—20–20%-0.03
overpass—10–10%-0.21
debris—10–10%-0.08
shelter—10–10%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
33.9%Spray accuracy
67.9%Counter-strafing
13.3°Preaim
655msReaction time
15.2%T opening success
45.6%CT opening success
0.46Enemies flashed / flash
3.6%Flash assists
2.74HE damage / grenade
5.37Flashes / 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 13.278° — above the 12° mark we flag

    Aim Training →
  2. 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 13.8264% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4584 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–130.0845%8 Oct →
nuke6–130.0210%19 Sept →
cache3–13-0.0716%19 Sept →
vertigo13–60.0912%19 Sept →
nuke4–13-0.066%16 Aug →
nuke8–80.1217%30 Jul →
inferno3–90.027%30 Jul →
overpass0–9-0.2118%30 Jul →
inferno8–13-0.0710%23 Jul →
inferno13–20.0213%23 Jul →
anubis13–6-0.0413%22 Jul →
dust213–6-0.0524%22 Jul →
nuke1–130.0226%22 Jul →
nuke13–5-0.0315%22 Jul →
nuke13–7-0.0411%22 Jul →
inferno13–4-0.0125%22 Jul →
mirage9–13-0.1011%22 Jul →
ancient2–13-0.0025%22 Jul →
nuke6–13-0.0625%21 Jul →
nuke7–13-0.026%21 Jul →
anubis12–12-0.054%21 Jul →
mirage13–10.1311%19 Jul →
dust22–13-0.085%19 Jul →
nuke7–13-0.079%18 Jul →
inferno0–13-0.0930%18 Jul →
dust22–13-0.0317%18 Jul →
anubis15–15-0.049%17 Jul →
anubis4–130.018%17 Jul →
inferno2–13-0.0810%17 Jul →
inferno4–13-0.0116%17 Jul →
mirage1–13-0.0023%17 Jul →
nuke13–8-0.0315%17 Jul →
mirage16–130.019%17 Jul →
inferno13–9-0.0714%17 Jul →
cache13–100.0116%16 Jul →
cache0–80.0114%16 Jul →
nuke10–13-0.0313%16 Jul →
nuke5–13-0.0714%16 Jul →
nuke13–9-0.0611%16 Jul →
nuke13–50.0618%16 Jul →
debris3–9-0.084%16 Jul →
anubis13–110.0125%15 Jul →
ancient7–13-0.059%15 Jul →
inferno13–110.0516%15 Jul →
anubis15–15-0.055%15 Jul →
dust21–13-0.085%14 Jul →
mirage13–40.018%14 Jul →
mirage13–6-0.039%14 Jul →
ancient11–130.0710%11 Jul →
cache13–70.0622%11 Jul →
vertigo13–40.089%11 Jul →
anubis13–70.1414%10 Jul →
ancient13–80.039%10 Jul →
mirage8–13-0.0111%10 Jul →
mirage8–13-0.0311%10 Jul →
mirage3–13-0.082%10 Jul →
cache13–20.0614%9 Jul →
inferno10–13-0.038%9 Jul →
cache4–13-0.0811%9 Jul →
shelter6–130.0715%9 Jul →
mirage7–130.0118%9 Jul →
nuke13–30.019%8 Jul →
mirage13–10-0.0316%8 Jul →
cache13–3-0.0213%7 Jul →
inferno1–13-0.0927%7 Jul →
nuke13–10-0.0013%6 Jul →
nuke7–130.0121%6 Jul →
nuke12–3-0.0210%6 Jul →
nuke10–13-0.027%6 Jul →
anubis6–12-0.080%5 Jul →
train8–130.0112%5 Jul →
dust211–13-0.0210%5 Jul →
train4–13-0.0812%3 Jul →
cache7–13-0.115%3 Jul →
anubis13–7-0.0314%3 Jul →
nuke13–10-0.0210%1 Jul →
dust29–130.028%1 Jul →
nuke10–13-0.0410%29 Jun →
cache4–13-0.0116%28 Jun →
ancient1–13-0.0911%28 Jun →
mirage0–13-0.0831%28 Jun →
anubis13–9-0.019%28 Jun →
inferno13–9-0.018%28 Jun →
cache13–7-0.0611%24 Jun →
nuke6–13-0.0214%24 Jun →
mirage4–130.0011%23 Jun →
mirage8–130.0118%23 Jun →
mirage13–9-0.0218%20 Jun →
inferno7–10.0712%20 Jun →
inferno15–15-0.0915%20 Jun →
vertigo13–8-0.0015%19 Jun →
nuke9–130.0016%16 Jun →
ancient16–140.0014%15 Jun →
anubis13–11-0.039%15 Jun →
ancient8–13-0.0021%14 Jun →
nuke13–80.0916%12 Jun →
inferno1–13-0.0124%12 Jun →
nuke13–100.0119%10 Jun →
vertigo13–70.0418%9 Jun →
ancient5–13-0.0521%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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