卡托維茲 ♔"Pipex" — CS2 Stats

PE76561198341427874[U:1:381162146]Steam profile ↗✓ No bans

1,968Tracked matches48%Win rate2020Tracked since

7,526Hours in CS35Hrs last 2 wks

CSDB Rating5.5 Solid

Premier CS Rating22,693Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#4674 of 16397 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning69

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWLWLWTWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.1

Aggression9.5

Utility7.2

Positioning6.9

Opening Duels4.5

Clutch3.4

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

Plays most like ZywOo 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.1

Positioning6.9

Utility7.2

Mechanics3.4

Opening Duels4.5

Win Impact4.4

Composite 5.5/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time560ms−79ms

first ⅓ avg 640ms → last ⅓ avg 560ms

Headshot accuracy20.3%+2.6%

first ⅓ avg 17.7% → last ⅓ avg 20.3%

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

0.18Best rating — anubis 13–7

13–1Biggest win — inferno

5Longest win streak

5–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 70% over 20cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	43	19–24	44%	-0.00
nuke	S	20	14–6	70%	0.03
ancient	A	18	11–7	61%	0.04
anubis	B	12	6–6	50%	0.03
cache	D	6	1–5	17%	-0.04
dust2	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

499,529Lifetime kills

1.10K/D · Top 50% of Pink band

26,946Matches

32.5%Match win rate

44.2%Headshot %

16.0%Shot accuracy · Top 50% of Pink band

16,407MVPs

5,419Hours (in match)

4,513Bombs planted

1,783Bombs defused

Most-used weapons

AK-4798,027

M4A4 / M4A1-S58,025

Desert Eagle44,751

P2000 / USP-S29,805

AWP28,112

MP716,497

Galil AR14,987

MAC-1013,369

MP912,608

P25012,006

Lifetime map wins

20,227inferno

9,722dust2

8,987nuke

2,042vertigo

1,189train

1,132ar_shoots

977ar_baggage

971safehouse

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

Faceit stats

Combat

581Matches

52%Win rate

1.06Avg K/D

83.0ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	62	61%	1.43	18.5
Ancient	38	53%	1.18	15.8
Nuke	34	62%	1.28	16.7
Dust2	24	42%	1.03	15.4
Mirage	20	65%	0.94	15.0
Anubis	18	67%	1.26	16.9
Overpass	4	25%	0.85	12.0
Vertigo	4	50%	1.20	11.8

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.

20.7%Headshot accuracy

29.2%Accuracy (enemy spotted)

32.6%Spray accuracy

65.4%Counter-strafing

10.3°Preaim

560msReaction time

44.3%T opening success

51.7%CT opening success

0.62Enemies flashed / flash

6.0%Flash assists

6.77HE damage / grenade

20.31Flashes / match

Recommended for you

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	0.02	19%	28 Aug →
ancient	13–7	0.03	16%	28 Aug →
inferno	8–13	-0.07	19%	28 Aug →
nuke	13–2	0.07	17%	28 Aug →
ancient	7–13	-0.04	20%	27 Aug →
ancient	13–8	0.08	27%	27 Aug →
inferno	15–15	-0.00	25%	26 Aug →
nuke	13–5	0.04	21%	26 Aug →
inferno	5–13	-0.04	17%	25 Aug →
nuke	16–12	0.01	19%	24 Aug →
inferno	5–13	-0.01	22%	24 Aug →
inferno	3–13	-0.07	32%	24 Aug →
anubis	8–13	-0.03	11%	23 Aug →
inferno	13–6	-0.01	17%	23 Aug →
ancient	11–13	0.05	15%	23 Aug →
inferno	2–13	-0.07	19%	23 Aug →
nuke	13–5	0.02	22%	22 Aug →
inferno	13–10	-0.00	23%	20 Aug →
nuke	8–13	0.04	19%	19 Aug →
inferno	10–13	-0.01	16%	19 Aug →
ancient	7–13	-0.02	25%	19 Aug →
inferno	13–8	0.01	28%	18 Aug →
nuke	13–9	-0.01	18%	18 Aug →
nuke	16–12	0.03	18%	17 Aug →
inferno	8–13	-0.02	27%	15 Aug →
ancient	13–6	0.04	19%	15 Aug →
ancient	13–8	0.06	31%	14 Aug →
inferno	13–3	0.01	21%	13 Aug →
anubis	10–13	0.02	15%	13 Aug →
inferno	9–13	0.04	26%	11 Aug →
inferno	13–1	0.02	16%	11 Aug →
inferno	10–13	0.02	11%	10 Aug →
nuke	13–10	0.06	20%	10 Aug →
inferno	10–13	-0.03	24%	10 Aug →
cache	1–13	-0.12	7%	10 Aug →
anubis	5–13	-0.04	18%	10 Aug →
anubis	10–13	0.03	13%	8 Aug →
nuke	13–9	0.01	23%	8 Aug →
inferno	13–9	0.00	14%	8 Aug →
cache	3–13	-0.07	8%	8 Aug →
ancient	13–11	-0.00	16%	7 Aug →
inferno	13–6	0.00	20%	7 Aug →
anubis	16–14	0.02	15%	7 Aug →
nuke	13–4	0.07	18%	6 Aug →
ancient	13–3	0.10	22%	6 Aug →
inferno	11–13	0.02	23%	6 Aug →
nuke	10–13	0.06	17%	4 Aug →
ancient	10–13	-0.03	10%	4 Aug →
anubis	13–7	0.18	17%	3 Aug →
cache	8–13	-0.05	4%	3 Aug →
ancient	13–7	0.06	29%	3 Aug →
inferno	13–10	-0.00	35%	1 Aug →
nuke	13–6	0.07	24%	1 Aug →
nuke	13–9	0.01	18%	31 Jul →
ancient	13–6	0.14	17%	31 Jul →
inferno	4–13	-0.02	29%	30 Jul →
ancient	12–16	-0.00	15%	30 Jul →
inferno	7–13	0.00	16%	30 Jul →
inferno	11–13	0.04	15%	30 Jul →
dust2	6–13	0.01	11%	29 Jul →
inferno	13–5	-0.03	30%	29 Jul →
inferno	6–13	-0.03	22%	29 Jul →
inferno	7–13	0.02	15%	29 Jul →
cache	8–13	-0.00	15%	28 Jul →
inferno	13–11	0.01	23%	28 Jul →
inferno	13–11	-0.03	13%	28 Jul →
ancient	13–10	-0.00	17%	27 Jul →
nuke	15–15	0.09	21%	27 Jul →
inferno	13–10	-0.02	19%	27 Jul →
nuke	13–4	-0.00	27%	27 Jul →
ancient	11–13	0.03	18%	26 Jul →
inferno	4–13	-0.11	11%	26 Jul →
inferno	13–9	-0.00	12%	26 Jul →
inferno	13–3	0.04	29%	25 Jul →
inferno	13–3	0.07	25%	25 Jul →
anubis	8–13	-0.01	19%	25 Jul →
nuke	13–10	0.08	17%	25 Jul →
ancient	13–6	0.06	19%	24 Jul →
inferno	13–11	-0.00	16%	24 Jul →
inferno	13–6	0.03	12%	24 Jul →
nuke	8–13	-0.03	12%	23 Jul →
inferno	9–13	0.04	23%	23 Jul →
inferno	13–6	0.05	9%	23 Jul →
nuke	3–13	-0.02	14%	23 Jul →
inferno	8–13	0.01	11%	22 Jul →
inferno	8–13	-0.05	10%	22 Jul →
anubis	13–9	0.08	18%	22 Jul →
inferno	7–13	-0.03	17%	21 Jul →
anubis	13–4	0.05	19%	21 Jul →
cache	9–13	0.01	13%	21 Jul →
inferno	16–13	0.04	20%	20 Jul →
anubis	13–6	0.03	17%	20 Jul →
ancient	7–13	0.03	23%	20 Jul →
nuke	4–13	-0.01	21%	20 Jul →
anubis	16–13	0.08	20%	17 Jul →
ancient	13–3	0.11	13%	17 Jul →
nuke	13–9	-0.05	11%	17 Jul →
cache	13–4	-0.02	16%	15 Jul →
anubis	3–13	-0.02	29%	15 Jul →
inferno	2–13	0.05	24%	15 Jul →