PinkPantherUnderCover — CS2 Stats

TD76561198293645593[U:1:333379865]Steam profile ↗✓ No bans

1,315Tracked matches37%Win rate2020Tracked since

1,818Hours in CS

CSDB Rating4.0 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim50

Positioning46

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLLLWLWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim5.0

Aggression6.7

Utility5.5

Positioning4.6

Opening Duels2.3

Clutch3.0

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 Twistzz 84% playstyle similarity

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

Where you differ: lower utility contribution; 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. 658ms 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

Aim5.0

Positioning4.6

Utility5.5

Mechanics4.6

Opening Duels2.3

Win Impact0.6

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time664ms−1ms

first ⅓ avg 665ms → last ⅓ avg 664ms

Headshot accuracy18.9%−0.8%

first ⅓ avg 19.6% → last ⅓ avg 18.9%

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 — inferno 9–0

13–1Biggest win — mirage

10Longest win streak

9–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 57% over 7anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	19–16	54%	0.01
inferno	B	12	6–6	50%	0.03
nuke	C	12	5–7	42%	0.00
ancient	C	12	5–7	42%	-0.01
dust2	B	10	5–5	50%	-0.01
anubis	D	7	2–5	29%	0.01
overpass	A	7	4–3	57%	-0.01
cache	—	4	2–2	50%	0.02
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,037Lifetime kills

0.99K/D

3,971Matches

61.6%Match win rate · Top 5% of tracked players

44.6%Headshot %

14.1%Shot accuracy · Top 50% of tracked players

11,228MVPs

1,818Hours (in match)

2,358Bombs planted

1,192Bombs defused

Most-used weapons

AK-4728,190

M4A4 / M4A1-S12,614

Desert Eagle10,090

AWP7,947

P2000 / USP-S4,455

Glock-184,245

MAC-102,429

P2502,140

MP91,994

FAMAS1,585

Lifetime map wins

10,255inferno

5,082dust2

2,375vertigo

1,866train

1,861nuke

489cbble

112office

100italy

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

Faceit stats

Combat

533Matches

53%Win rate

0.95Avg K/D

82.3ADR

41%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	48%	1.05	15.5
Nuke	10	60%	0.76	13.6
Inferno	10	50%	1.16	19.1
Ancient	8	62%	1.05	14.8
Anubis	7	71%	1.05	14.7
Dust2	6	50%	1.06	16.5
Overpass	5	100%	1.31	16.2
Vertigo	1	0%	0.53	10.0

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.

19.3%Headshot accuracy

32.4%Accuracy (enemy spotted)

35.0%Spray accuracy

70.8%Counter-strafing

10.7°Preaim

658msReaction time

39.6%T opening success

39.1%CT opening success

0.58Enemies flashed / flash

7.4%Flash assists

10.11HE damage / grenade

6.33Flashes / 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
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 39.635% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.03	26%	11 Aug →
vertigo	6–13	-0.07	28%	5 Aug →
mirage	13–1	0.03	21%	28 Jul →
cache	11–13	0.02	29%	28 Jul →
mirage	5–13	-0.04	12%	20 Jul →
dust2	4–13	-0.09	13%	19 Jul →
cache	13–9	0.06	15%	18 Jul →
inferno	6–13	-0.04	19%	15 Jul →
cache	13–10	0.03	13%	10 Jul →
cache	4–13	-0.05	23%	9 Jul →
nuke	8–13	0.01	22%	7 Jul →
mirage	11–13	-0.07	12%	2 Jul →
ancient	5–13	0.03	15%	2 Jul →
mirage	13–3	0.05	24%	2 Jul →
nuke	13–9	0.06	16%	1 Jul →
mirage	13–8	0.13	20%	1 Jul →
mirage	13–9	0.09	27%	30 Jun →
nuke	11–13	0.01	11%	17 Jun →
nuke	7–13	-0.05	15%	14 Jun →
mirage	9–13	0.02	19%	23 May →
mirage	9–13	-0.07	17%	19 May →
anubis	5–13	-0.02	20%	6 May →
mirage	6–13	-0.01	21%	6 May →
ancient	6–13	-0.02	5%	4 May →
ancient	13–11	-0.01	24%	18 Mar →
dust2	3–13	0.02	28%	17 Mar →
mirage	16–14	-0.03	18%	4 Mar →
mirage	8–13	0.04	23%	1 Mar →
inferno	8–13	0.01	27%	1 Mar →
inferno	13–7	-0.04	19%	1 Mar →
mirage	13–11	-0.03	17%	28 Feb →
inferno	13–3	0.13	9%	26 Feb →
inferno	13–4	0.06	16%	26 Feb →
anubis	5–13	0.10	14%	25 Feb →
nuke	6–13	-0.05	10%	24 Feb →
ancient	11–13	0.01	17%	15 Feb →
mirage	15–15	0.09	17%	11 Feb →
nuke	13–8	-0.01	11%	11 Feb →
dust2	10–13	-0.07	20%	8 Feb →
overpass	16–14	-0.07	17%	5 Feb →
dust2	13–3	-0.02	13%	5 Feb →
nuke	16–13	0.04	19%	5 Feb →
overpass	11–13	-0.06	14%	5 Feb →
mirage	13–10	0.05	20%	4 Feb →
ancient	9–13	-0.01	20%	4 Feb →
mirage	13–5	0.02	14%	3 Feb →
ancient	16–14	0.01	16%	3 Feb →
mirage	13–4	0.04	15%	3 Feb →
inferno	9–0	0.18	15%	3 Feb →
ancient	13–7	-0.06	26%	3 Feb →
anubis	13–11	0.08	13%	2 Feb →
dust2	13–11	-0.03	15%	2 Feb →
dust2	13–5	0.04	13%	31 Jan →
mirage	13–10	-0.05	14%	31 Jan →
nuke	13–4	0.07	20%	31 Jan →
ancient	8–13	-0.01	11%	30 Jan →
anubis	7–13	-0.03	24%	30 Jan →
dust2	15–15	-0.00	12%	29 Jan →
mirage	13–9	-0.00	24%	29 Jan →
nuke	10–13	-0.03	32%	29 Jan →
overpass	4–13	0.01	25%	28 Jan →
mirage	13–5	0.01	29%	28 Jan →
nuke	11–13	0.03	21%	27 Jan →
anubis	5–13	-0.05	7%	27 Jan →
mirage	13–10	0.00	23%	24 Jan →
mirage	13–8	0.01	4%	24 Jan →
anubis	7–13	-0.05	15%	24 Jan →
ancient	13–9	-0.04	12%	24 Jan →
anubis	13–9	0.08	18%	23 Jan →
mirage	8–13	-0.05	14%	23 Jan →
dust2	6–13	-0.04	18%	23 Jan →
mirage	8–13	0.04	25%	23 Jan →
overpass	13–6	-0.06	13%	23 Jan →
inferno	7–13	-0.04	14%	17 Jan →
mirage	8–13	-0.04	21%	31 Dec →
dust2	13–8	0.07	18%	31 Dec →
mirage	14–16	-0.04	28%	28 Dec →
overpass	15–15	0.05	15%	26 Dec →
nuke	13–7	-0.06	20%	26 Dec →
mirage	10–13	0.03	12%	26 Dec →
mirage	13–5	0.14	27%	17 Dec →
nuke	11–13	-0.01	31%	17 Dec →
mirage	16–14	-0.01	23%	30 Nov →
mirage	13–11	0.01	19%	30 Nov →
mirage	13–16	0.00	22%	25 Nov →
inferno	9–13	0.05	22%	13 Nov →
ancient	10–13	0.01	20%	11 Nov →
overpass	13–8	0.08	15%	23 Oct →
mirage	5–13	-0.03	6%	2 Oct →
ancient	1–13	-0.05	17%	29 Sept →
mirage	13–3	0.09	26%	29 Sept →
overpass	16–13	-0.01	24%	10 Sept →
mirage	13–5	-0.01	19%	6 Aug →
inferno	11–13	-0.02	18%	22 Jul →
ancient	13–9	-0.00	12%	11 Jun →
mirage	11–13	-0.01	24%	19 May →
inferno	13–5	0.03	38%	18 May →
mirage	5–13	-0.06	8%	7 May →
inferno	8–13	-0.01	19%	4 May →
dust2	13–8	0.07	31%	28 Apr →