PoignantKitty46 — CS2 Stats

76561198236544010[U:1:276278282]Steam profile ↗✓ No bans

475Tracked matches46%Win rate2023Tracked since

682Hours in CS

CSDB Rating3.1 Learning

Ladder ranks via Leetify

Performance scores

Aim29

Positioning39

Utility26

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWLWWWWLWLW

Last 10 vs previous 10: +20pp win rate · -0.06 avg rating

Player DNA

Aim2.9

Aggression3.4

Utility2.6

Positioning3.9

Opening Duels0.1

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 65% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 690ms 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

Aim2.9

Positioning3.9

Utility2.6

Mechanics4.5

Opening Duels0.1

Win Impact3.8

Composite 3.1/10 (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+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time686ms−23ms

first ⅓ avg 709ms → last ⅓ avg 686ms

Headshot accuracy13.1%+0.6%

first ⅓ avg 12.5% → last ⅓ avg 13.1%

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.

Highlights

0.20Best rating — dust2 7–1

13–0Biggest win — dust2

5Longest win streak

5–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	24	15–9	63%	-0.02
mirage	C	22	8–14	36%	-0.01
nuke	C	16	7–9	44%	-0.02
ancient	B	10	5–5	50%	-0.04
inferno	C	10	4–6	40%	-0.01
anubis	A	7	4–3	57%	-0.04
overpass	S	5	4–1	80%	-0.04
cache	—	3	0–3	0%	-0.01
vertigo	—	1	1–0	100%	-0.05
alpine	—	1	0–1	0%	-0.04
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,556Lifetime kills

0.57K/D

1,442Matches

27.3%Match win rate

41.1%Headshot %

8.0%Shot accuracy

973MVPs

682Hours (in match)

507Bombs planted

91Bombs defused

Most-used weapons

AK-474,066

M4A4 / M4A1-S3,188

AWP1,394

P2000 / USP-S1,025

Galil AR544

Desert Eagle512

MAC-10461

FAMAS444

Glock-18413

MP9398

Lifetime map wins

1,383dust2

825inferno

727nuke

131vertigo

91office

82train

36cbble

35safehouse

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

Skill profile

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

12.9%Headshot accuracy

31.2%Accuracy (enemy spotted)

30.1%Spray accuracy

70.3%Counter-strafing

12.0°Preaim

690msReaction time

29.8%T opening success

30.6%CT opening success

0.49Enemies flashed / flash

0.8%Flash assists

5.35HE damage / grenade

7.94Flashes / 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.

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 12.9457% — below the 15% mark we flag
Aim Training →
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 0.4852 — below the 0.5 mark we flag
Grenade Lineups →
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 29.7729% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.08	9%	25 Jul →
mirage	6–13	-0.04	14%	23 Jul →
dust2	13–4	-0.04	18%	21 Jul →
dust2	13–9	0.03	17%	21 Jul →
dust2	13–9	-0.05	14%	30 Jun →
nuke	13–10	-0.08	8%	28 Jun →
anubis	6–13	-0.07	5%	28 Jun →
anubis	13–9	0.01	18%	27 Jun →
mirage	5–13	-0.03	0%	26 Jun →
inferno	13–9	0.02	10%	26 Jun →
inferno	11–13	0.06	6%	18 Jun →
dust2	13–0	0.12	17%	18 Jun →
mirage	13–6	-0.02	6%	18 Jun →
dust2	11–13	-0.01	2%	16 Jun →
dust2	7–1	0.20	17%	16 Jun →
ancient	15–15	-0.00	16%	12 Jun →
nuke	10–13	0.03	23%	11 Jun →
inferno	13–7	0.00	14%	10 Jun →
mirage	6–13	-0.05	15%	5 Jun →
dust2	13–11	-0.05	12%	25 May →
cache	12–12	-0.06	0%	21 May →
cache	5–13	-0.01	14%	13 May →
dust2	13–4	0.06	5%	3 May →
cache	9–13	0.03	15%	30 Apr →
dust2	2–13	-0.07	12%	21 Apr →
mirage	2–10	0.02	29%	9 Mar →
ancient	0–3	-0.07	36%	9 Mar →
nuke	10–13	-0.08	15%	27 Feb →
nuke	9–13	-0.04	24%	23 Feb →
dust2	6–13	-0.06	11%	19 Feb →
mirage	5–13	-0.05	7%	18 Feb →
inferno	13–6	-0.01	13%	17 Feb →
dust2	10–13	-0.10	14%	17 Feb →
anubis	13–3	0.04	9%	16 Feb →
mirage	13–6	-0.00	15%	16 Feb →
vertigo	13–10	-0.05	19%	16 Feb →
nuke	6–13	-0.06	21%	16 Feb →
nuke	11–13	-0.09	20%	15 Feb →
anubis	13–8	-0.06	13%	14 Feb →
nuke	3–13	-0.04	6%	10 Feb →
mirage	11–13	-0.02	11%	9 Feb →
dust2	13–10	-0.04	14%	9 Feb →
mirage	8–13	-0.02	11%	8 Feb →
dust2	0–6	-0.05	30%	7 Feb →
ancient	13–5	0.04	7%	7 Feb →
dust2	14–16	0.03	19%	6 Feb →
inferno	8–13	-0.07	9%	6 Feb →
mirage	13–1	0.06	13%	6 Feb →
mirage	13–3	0.03	21%	6 Feb →
nuke	6–13	0.04	16%	5 Feb →
mirage	13–3	0.16	11%	5 Feb →
overpass	13–3	-0.01	8%	4 Feb →
dust2	11–13	-0.03	15%	4 Feb →
mirage	16–13	-0.02	7%	4 Feb →
mirage	13–7	0.09	20%	4 Feb →
inferno	13–3	0.07	5%	4 Feb →
overpass	4–13	0.00	10%	4 Feb →
mirage	13–1	0.10	6%	2 Feb →
ancient	3–13	-0.05	10%	2 Feb →
mirage	12–16	-0.03	15%	29 Jan →
nuke	13–6	-0.03	28%	29 Jan →
anubis	4–13	-0.12	0%	26 Jan →
dust2	13–7	-0.06	28%	26 Jan →
nuke	13–5	-0.07	14%	26 Jan →
inferno	4–13	-0.07	22%	25 Jan →
overpass	13–4	-0.08	8%	25 Jan →
mirage	8–13	-0.02	11%	24 Jan →
alpine	10–13	-0.04	11%	24 Jan →
dust2	13–11	-0.07	6%	22 Jan →
anubis	13–8	0.00	11%	22 Jan →
nuke	13–9	-0.07	0%	21 Jan →
dust2	13–11	-0.01	15%	21 Jan →
nuke	13–9	-0.03	2%	20 Jan →
mirage	12–12	-0.03	8%	20 Jan →
nuke	13–7	0.02	11%	19 Jan →
dust2	13–11	-0.03	14%	19 Jan →
ancient	13–10	-0.08	8%	18 Jan →
ancient	13–5	-0.04	25%	17 Jan →
mirage	12–12	-0.06	17%	17 Jan →
train	13–5	-0.00	13%	17 Jan →
nuke	6–13	0.11	19%	17 Jan →
nuke	13–6	0.05	23%	17 Jan →
inferno	3–13	0.02	11%	16 Jan →
mirage	11–13	-0.06	14%	14 Jan →
mirage	7–13	-0.05	9%	14 Jan →
dust2	13–2	-0.04	16%	14 Jan →
dust2	13–10	-0.03	22%	13 Jan →
ancient	9–13	-0.09	9%	13 Jan →
inferno	10–13	-0.05	11%	12 Jan →
overpass	13–11	-0.09	21%	11 Jan →
dust2	13–6	-0.04	21%	11 Jan →
inferno	3–13	-0.04	8%	10 Jan →
ancient	13–1	-0.03	9%	10 Jan →
anubis	10–13	-0.09	18%	9 Jan →
nuke	12–12	-0.07	12%	8 Jan →
dust2	12–12	-0.06	8%	8 Jan →
mirage	7–13	-0.08	9%	7 Jan →
overpass	13–7	-0.05	14%	6 Jan →
dust2	11–13	-0.02	10%	6 Jan →
ancient	10–13	-0.04	8%	6 Jan →