P.Cat — CS2 Stats

CA76561199229424189[U:1:1269158461]Steam profile ↗✓ No bans

1,732Tracked matches41%Win rate2023Tracked since

1,774Hours in CS8Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating24,684Top 50% of 819 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#3619 of 21864 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning45

Utility61

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLWLTWWLL

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

Player DNA

Aim4.6

Aggression4.5

Utility6.1

Positioning4.5

Opening Duels1.8

Clutch5.0

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 NiKo 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 613ms 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

Aim4.6

Positioning4.5

Utility6.1

Mechanics7.4

Opening Duels1.8

Win Impact1.9

Composite 4.8/10 (Developing), 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 rating-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time617ms−1ms

first ⅓ avg 618ms → last ⅓ avg 617ms

Headshot accuracy16.4%+1.1%

first ⅓ avg 15.3% → last ⅓ avg 16.4%

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

0.16Best rating — anubis 13–1

13–1Biggest win — anubis

9Longest win streak

L3Current streak

6–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 64% over 14nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.00
dust2	B	18	9–9	50%	-0.01
inferno	A	15	9–6	60%	-0.00
anubis	A	14	9–5	64%	0.03
ancient	B	13	7–6	54%	0.02
cache	D	12	4–8	33%	-0.01
nuke	D	6	1–5	17%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,620Lifetime kills

0.97K/D

2,200Matches

47.2%Match win rate · Top 50% of Pink band

42.9%Headshot %

0.6%Shot accuracy

4,691MVPs

854Hours (in match)

1,759Bombs planted

635Bombs defused

Most-used weapons

AK-4714,031

M4A4 / M4A1-S6,081

MP93,668

AWP2,569

MAC-101,824

Galil AR1,785

Dual Berettas1,709

Glock-181,151

MP7910

P2000 / USP-S794

Lifetime map wins

3,931dust2

3,582inferno

3,486nuke

642train

74vertigo

6ar_baggage

5assault

2ar_shoots

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

Faceit stats

Combat

165Matches

52%Win rate

1.09Avg K/D

81.7ADR

43%Headshot %

Clutches & streaks

45%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	45	56%	1.10	15.3
Mirage	39	62%	1.11	16.2
Ancient	22	41%	1.16	15.4
Inferno	19	53%	1.12	18.9
Anubis	16	56%	1.01	14.8
Nuke	13	46%	1.06	16.5
Cache	5	20%	0.94	16.8
Overpass	5	20%	0.98	15.8

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.

16.1%Headshot accuracy

31.0%Accuracy (enemy spotted)

31.6%Spray accuracy

83.1%Counter-strafing

13.4°Preaim

613msReaction time

37.6%T opening success

36.6%CT opening success

0.57Enemies flashed / flash

6.2%Flash assists

6.03HE damage / grenade

10.25Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.4301° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	5–13	-0.03	17%	23 Aug →
ancient	7–13	0.01	17%	23 Aug →
cache	7–13	-0.07	9%	22 Aug →
mirage	13–9	-0.07	17%	22 Aug →
cache	1–13	-0.07	4%	22 Aug →
anubis	15–15	-0.02	18%	19 Aug →
inferno	13–10	-0.01	23%	18 Aug →
anubis	16–14	-0.01	16%	17 Aug →
nuke	7–13	-0.04	5%	2 Aug →
mirage	3–13	-0.03	21%	2 Aug →
dust2	5–13	0.00	17%	2 Aug →
ancient	13–4	-0.05	8%	2 Aug →
mirage	13–5	-0.00	10%	2 Aug →
ancient	15–15	0.00	20%	2 Aug →
ancient	13–8	0.01	18%	2 Aug →
mirage	4–13	-0.03	14%	2 Aug →
mirage	2–13	-0.03	24%	1 Aug →
dust2	13–8	0.10	17%	1 Aug →
dust2	5–13	-0.05	20%	1 Aug →
mirage	8–13	0.05	23%	1 Aug →
cache	13–11	0.03	20%	1 Aug →
inferno	15–15	-0.01	17%	1 Aug →
ancient	4–13	0.02	12%	1 Aug →
ancient	13–7	0.01	22%	1 Aug →
dust2	13–7	-0.02	17%	1 Aug →
anubis	11–13	-0.05	13%	1 Aug →
anubis	13–11	-0.02	5%	1 Aug →
mirage	10–13	-0.04	15%	30 Jul →
dust2	2–13	-0.04	22%	30 Jul →
cache	10–13	0.01	18%	30 Jul →
dust2	11–13	0.01	20%	30 Jul →
mirage	3–13	-0.11	28%	30 Jul →
mirage	13–6	0.03	17%	29 Jul →
dust2	13–10	0.04	18%	29 Jul →
inferno	8–13	-0.03	22%	29 Jul →
mirage	10–13	-0.02	18%	29 Jul →
anubis	13–8	0.03	11%	29 Jul →
dust2	7–13	-0.12	10%	29 Jul →
cache	11–13	0.01	20%	29 Jul →
nuke	4–13	0.02	16%	29 Jul →
inferno	13–6	-0.01	10%	29 Jul →
mirage	13–10	0.04	18%	29 Jul →
cache	9–13	0.01	3%	29 Jul →
dust2	5–13	-0.04	18%	29 Jul →
dust2	13–9	-0.03	14%	29 Jul →
inferno	3–13	-0.04	15%	29 Jul →
mirage	8–13	0.04	13%	29 Jul →
inferno	9–13	0.05	15%	29 Jul →
inferno	13–11	-0.01	12%	29 Jul →
dust2	13–6	-0.03	19%	29 Jul →
anubis	13–6	0.04	10%	28 Jul →
dust2	9–13	0.05	19%	28 Jul →
mirage	13–2	0.11	17%	28 Jul →
inferno	13–7	-0.03	22%	28 Jul →
cache	1–13	-0.02	10%	28 Jul →
inferno	13–2	-0.01	9%	28 Jul →
cache	13–6	-0.03	29%	28 Jul →
mirage	13–7	0.04	23%	28 Jul →
ancient	13–8	0.08	17%	28 Jul →
anubis	13–7	0.04	8%	28 Jul →
dust2	13–10	-0.01	9%	27 Jul →
mirage	13–10	-0.01	12%	27 Jul →
mirage	13–7	0.02	19%	27 Jul →
ancient	13–7	0.10	16%	27 Jul →
dust2	10–13	0.05	12%	27 Jul →
cache	13–7	0.04	14%	27 Jul →
ancient	13–9	0.01	7%	27 Jul →
inferno	5–13	-0.01	8%	26 Jul →
ancient	6–13	0.00	19%	26 Jul →
anubis	8–13	-0.02	8%	26 Jul →
inferno	13–9	-0.00	13%	26 Jul →
mirage	2–7	0.03	22%	26 Jul →
nuke	5–13	-0.03	18%	26 Jul →
dust2	13–8	-0.02	15%	25 Jul →
dust2	13–9	-0.00	22%	25 Jul →
inferno	13–10	0.02	14%	25 Jul →
mirage	13–8	0.02	10%	25 Jul →
dust2	8–13	-0.11	27%	25 Jul →
nuke	9–13	-0.03	17%	25 Jul →
anubis	13–7	0.00	11%	25 Jul →
inferno	13–11	0.08	20%	25 Jul →
cache	11–13	0.01	12%	25 Jul →
ancient	9–13	-0.05	8%	25 Jul →
mirage	11–13	-0.07	10%	25 Jul →
anubis	11–13	0.02	10%	25 Jul →
ancient	13–4	0.05	17%	25 Jul →
cache	11–13	-0.01	18%	25 Jul →
mirage	13–8	0.02	20%	25 Jul →
nuke	13–11	-0.03	21%	25 Jul →
dust2	13–8	-0.00	13%	24 Jul →
inferno	12–16	-0.04	16%	24 Jul →
anubis	13–1	0.16	17%	24 Jul →
nuke	8–13	0.01	20%	24 Jul →
inferno	13–5	0.00	16%	24 Jul →
ancient	11–13	0.03	11%	24 Jul →
anubis	13–2	0.10	9%	24 Jul →
cache	16–12	-0.01	14%	23 Jul →
mirage	15–15	0.10	19%	23 Jul →
anubis	13–2	0.14	25%	23 Jul →
mirage	13–6	-0.08	5%	23 Jul →