polska gurom

polska gurom — CS2 Stats

AE76561198042196582[U:1:81930854]Steam profile ↗✓ No bans

327Tracked matches46%Win rate2021Tracked since
1,222Hours in CS7Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
CSDB Leaderboard#79236 of 261653 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 327
−3.6ppWin rate · 50.0% → 46.4%

Rating over time

Premier CS Rating: 20,384 +7,876 20 Dec – 2 Oct · 23 days played
12,49122,226peak 22,22620 Dec2 Oct
22,226Peak Premier in tracked matches
31Days played since 2025-12-20

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,631), 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 rate39.6%43.8%44.8%5.2% short
Shot accuracy7.0%12.0%12.4%5.4% short
Kill/death ratio0.931.021.030.10 short
Match win rate37.2%44.7%45.2%8.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

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.GGpolska guromFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWTWLWLLLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −47ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 557ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.0
Utility4.6
Positioning4.1
Opening Duels1.0
Clutch3.2

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 591ms 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

Aim6.0
Positioning4.1
Utility4.6
Mechanics5.6
Opening Duels1.2
Win Impact3.8

Composite 4.6/10 (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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time590ms−18ms
first ⅓ avg 608ms → last ⅓ avg 590ms
Headshot accuracy12.0%−0.6%
first ⅓ avg 12.6% → last ⅓ avg 12.0%

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.

Personal bests

0.10Best match rating · 13–7 · inferno, 19 Apr →
27%Best headshot accuracy · 13–9 · nuke, 25 Apr →
367msFastest reaction time · 13–7 · inferno, 18 Apr →
13–0Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.02
infernoD206–1430%-0.01
nukeA149–564%-0.01
ancientS139–469%0.00
cacheA138–562%0.03
dust2S96–367%-0.02
anubisA53–260%0.00
overpass—21–150%0.03
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,037Lifetime kills
0.93K/D
2,338Matches
37.2%Match win rate
39.6%Headshot %
7.0%Shot accuracy
4,123MVPs
637Hours (in match)
869Bombs planted
958Bombs defused

Most-used weapons

AK-4714,294
AWP4,151
P901,655
SG 5531,022
P250976
AUG965

Lifetime map wins

2,808dust2
2,667inferno
1,024nuke
616vertigo
290train
129cbble
70bank
62lake

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

Faceit stats

Combat

73Matches
44%Win rate
0.94Avg K/D
74.5ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
34%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage944%0.8813.2
Ancient771%0.9715.6
Inferno757%0.6410.7
Anubis633%1.0415.3
Nuke450%0.8015.0
Dust2475%1.1416.8
Cache4100%1.7620.0
Overpass1100%1.2012.0

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.

12.7%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.5%Spray accuracy
75.4%Counter-strafing
10.6°Preaim
591msReaction time
38.4%T opening success
31.1%CT opening success
0.41Enemies flashed / flash
5.6%Flash assists
5.07HE damage / grenade
8.29Flashes / 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 12.6642% — below the 15% 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 0.4116 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.3913% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0016%1 Nov →
mirage15–15-0.0416%30 Oct →
mirage13–10-0.0417%30 Oct →
inferno10–13-0.1014%30 Oct →
mirage13–80.0512%30 Oct →
anubis8–130.0014%15 Oct →
inferno7–13-0.034%15 Oct →
dust24–13-0.0612%15 Oct →
ancient13–100.035%15 Oct →
ancient13–30.052%15 Oct →
inferno2–13-0.0211%10 Oct →
cache11–130.0510%29 Aug →
cache6–13-0.007%12 May →
dust215–15-0.0416%12 May →
mirage13–160.028%12 May →
nuke2–13-0.1011%12 May →
inferno16–130.0312%11 May →
mirage13–110.0211%11 May →
inferno13–110.0120%11 May →
dust210–13-0.0621%11 May →
mirage13–9-0.068%11 May →
ancient8–13-0.0612%10 May →
inferno8–13-0.0611%10 May →
mirage13–7-0.0019%10 May →
inferno7–130.0014%10 May →
cache13–1-0.028%7 May →
dust216–14-0.0213%7 May →
inferno10–13-0.0120%7 May →
ancient13–80.0414%4 May →
cache9–13-0.0114%3 May →
cache8–13-0.054%3 May →
inferno5–13-0.0410%1 May →
cache13–90.0911%30 Apr →
poseidon3–9-0.088%30 Apr →
cache12–12-0.0223%29 Apr →
cache13–30.1023%29 Apr →
nuke13–11-0.076%29 Apr →
cache13–00.0710%29 Apr →
cache13–70.0416%28 Apr →
nuke14–160.0311%28 Apr →
mirage7–13-0.0113%28 Apr →
mirage13–40.0614%27 Apr →
ancient10–130.0210%27 Apr →
mirage7–130.0014%27 Apr →
mirage0–10-0.059%27 Apr →
mirage8–13-0.0124%26 Apr →
inferno7–13-0.0413%26 Apr →
mirage13–10-0.0410%26 Apr →
cache13–70.0113%25 Apr →
dust213–70.0014%25 Apr →
cache13–60.0925%25 Apr →
nuke13–90.0227%25 Apr →
inferno4–130.0114%25 Apr →
overpass13–30.0614%25 Apr →
cache13–60.0118%24 Apr →
anubis13–20.009%24 Apr →
nuke13–110.097%24 Apr →
inferno13–9-0.0311%24 Apr →
dust213–90.0121%22 Apr →
ancient13–5-0.0012%22 Apr →
anubis6–130.0012%22 Apr →
nuke10–13-0.039%22 Apr →
dust213–80.007%22 Apr →
overpass13–160.0014%21 Apr →
nuke7–13-0.068%21 Apr →
nuke13–9-0.078%19 Apr →
mirage9–13-0.0511%19 Apr →
mirage13–5-0.0716%19 Apr →
inferno13–70.108%19 Apr →
mirage2–13-0.0115%18 Apr →
inferno13–70.0215%18 Apr →
ancient8–13-0.037%18 Apr →
mirage4–13-0.0612%18 Apr →
inferno7–130.0320%18 Apr →
mirage13–10-0.0019%17 Apr →
inferno6–13-0.089%17 Apr →
nuke13–7-0.0610%16 Apr →
mirage13–3-0.019%16 Apr →
inferno5–13-0.0521%16 Apr →
ancient13–8-0.0111%9 Apr →
nuke13–80.017%9 Apr →
ancient13–60.0310%9 Apr →
anubis13–80.0111%9 Apr →
ancient13–50.038%9 Apr →
mirage6–130.0117%9 Apr →
mirage3–13-0.1112%5 Apr →
anubis13–10-0.006%5 Apr →
ancient13–30.0011%5 Apr →
inferno16–120.0218%5 Apr →
dust216–120.0111%5 Apr →
nuke13–110.0017%5 Apr →
inferno8–8-0.0426%24 Feb →
nuke10–13-0.0412%10 Jan →
ancient7–13-0.0712%10 Jan →
dust213–10-0.0015%10 Jan →
inferno6–130.0116%10 Jan →
mirage13–5-0.012%10 Jan →
nuke13–80.1016%25 Dec →
mirage11–130.0113%25 Dec →
nuke13–10-0.027%20 Dec →

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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