Catnip ☮ ツ — CS2 Stats

US76561198146291912[U:1:186026184]Steam profile ↗✓ No bans

930Tracked matches43%Win rate2020Tracked since

1,328Hours in CS12Hrs last 2 wks

CSDB Rating4.1 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim61

Positioning40

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLLWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression4.0

Utility1.0

Positioning4.0

Opening Duels0.4

Limited utility dependence

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 70% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 621ms 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

Aim6.1

Positioning4.0

Utility1.0

Mechanics6.4

Opening Duels0.6

Win Impact2.6

Composite 4.1/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time621ms+21ms

first ⅓ avg 599ms → last ⅓ avg 621ms

Headshot accuracy9.2%+3.3%

first ⅓ avg 5.9% → last ⅓ avg 9.2%

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

0.14Best rating — mirage 13–4

13–2Biggest win — mirage

6Longest win streak

9–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 69% over 13infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	19	8–11	42%	-0.02
dust2	C	18	7–11	39%	-0.02
inferno	D	14	4–10	29%	-0.04
mirage	S	13	9–4	69%	-0.02
nuke	S	12	8–4	67%	-0.03
office	B	6	3–3	50%	-0.07
anubis	B	6	3–3	50%	-0.05
overpass	—	4	1–3	25%	-0.06
train	—	3	2–1	67%	-0.03
ancient	—	2	2–0	100%	-0.01
vertigo	—	1	1–0	100%	-0.10
shelter	—	1	1–0	100%	0.01
stronghold	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,523Lifetime kills

0.79K/D

2,198Matches

39.2%Match win rate

24.7%Headshot %

6.7%Shot accuracy

3,079MVPs

747Hours (in match)

2,543Bombs planted

350Bombs defused

Most-used weapons

AK-476,567

M4A4 / M4A1-S6,551

MP74,030

AWP2,743

Glock-181,606

P2000 / USP-S1,205

P250834

MAC-10689

MP9637

SSG 08381

Lifetime map wins

4,591dust2

2,919inferno

1,810nuke

665office

239train

219vertigo

46italy

26ar_baggage

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.

8.4%Headshot accuracy

38.0%Accuracy (enemy spotted)

46.4%Spray accuracy

79.0%Counter-strafing

11.5°Preaim

621msReaction time

28.1%T opening success

35.1%CT opening success

0.13Enemies flashed / flash

0.0%Flash assists

5.67HE damage / grenade

0.43Flashes / 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 8.3915% — 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 0.1292 — 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 28.0891% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–8	-0.08	33%	29 Aug →
inferno	5–13	-0.04	6%	29 Aug →
cache	1–13	0.02	7%	29 Aug →
dust2	13–11	-0.01	3%	29 Aug →
dust2	9–13	0.03	10%	29 Aug →
nuke	5–13	-0.08	3%	29 Aug →
mirage	13–10	-0.04	9%	29 Aug →
cache	8–13	-0.04	3%	24 Aug →
dust2	13–8	-0.04	7%	24 Aug →
office	4–13	-0.08	4%	23 Aug →
cache	12–12	-0.06	4%	23 Aug →
dust2	5–13	-0.07	10%	23 Aug →
vertigo	13–11	-0.10	5%	23 Aug →
shelter	7–1	0.01	50%	23 Aug →
inferno	12–12	-0.01	7%	23 Aug →
dust2	8–13	0.04	10%	23 Aug →
dust2	6–13	-0.03	19%	11 Aug →
mirage	3–6	-0.03	12%	8 Jul →
inferno	9–13	-0.06	8%	8 Jul →
dust2	8–13	-0.10	2%	7 Jul →
cache	13–8	-0.04	7%	7 Jul →
dust2	13–5	-0.03	0%	29 Jun →
nuke	13–6	-0.04	3%	29 Jun →
inferno	11–13	-0.08	13%	29 Jun →
dust2	3–13	-0.06	5%	29 Jun →
mirage	13–11	-0.07	4%	28 Jun →
nuke	8–13	-0.05	6%	28 Jun →
dust2	13–11	-0.04	9%	28 Jun →
cache	13–4	0.04	6%	28 Jun →
dust2	11–13	0.03	13%	24 Jun →
office	6–13	-0.09	17%	24 Jun →
inferno	12–12	-0.05	2%	24 Jun →
cache	6–13	-0.10	5%	24 Jun →
anubis	13–9	-0.02	7%	23 Jun →
dust2	12–12	0.02	8%	23 Jun →
cache	7–13	-0.06	9%	23 Jun →
nuke	13–6	-0.01	3%	23 Jun →
inferno	13–4	0.04	0%	23 Jun →
dust2	13–11	-0.00	6%	23 Jun →
office	13–6	-0.06	0%	23 Jun →
mirage	13–4	0.14	11%	23 Jun →
cache	5–13	-0.12	0%	23 Jun →
nuke	3–13	-0.08	12%	22 Jun →
mirage	13–2	0.08	35%	22 Jun →
dust2	10–13	-0.06	12%	21 Jun →
cache	13–6	0.11	20%	21 Jun →
inferno	5–13	-0.02	6%	21 Jun →
dust2	6–13	-0.04	7%	17 Jun →
overpass	3–13	-0.07	0%	17 Jun →
inferno	4–13	-0.10	0%	17 Jun →
cache	13–11	-0.03	9%	16 Jun →
mirage	9–13	-0.02	6%	16 Jun →
anubis	13–6	-0.10	0%	16 Jun →
overpass	2–8	-0.06	0%	16 Jun →
nuke	9–13	-0.03	0%	16 Jun →
cache	5–13	-0.04	4%	16 Jun →
inferno	11–13	-0.07	7%	15 Jun →
overpass	13–11	-0.05	12%	15 Jun →
mirage	9–13	-0.06	23%	14 Jun →
cache	8–13	-0.02	8%	14 Jun →
dust2	16–13	0.06	12%	11 Jun →
mirage	13–6	-0.03	14%	10 Jun →
nuke	13–9	-0.00	3%	10 Jun →
inferno	11–13	-0.07	5%	10 Jun →
cache	10–13	-0.04	12%	10 Jun →
anubis	10–13	-0.05	0%	10 Jun →
mirage	13–9	-0.07	0%	10 Jun →
train	13–9	-0.01	2%	9 Jun →
nuke	13–6	0.02	4%	9 Jun →
anubis	5–13	-0.04	13%	9 Jun →
office	8–13	-0.06	13%	8 Jun →
dust2	6–13	-0.07	10%	8 Jun →
mirage	13–11	-0.06	12%	7 Jun →
inferno	13–7	-0.04	12%	7 Jun →
cache	8–13	0.01	7%	7 Jun →
train	13–6	-0.06	3%	7 Jun →
anubis	1–7	-0.10	0%	7 Jun →
nuke	13–10	-0.05	0%	6 Jun →
dust2	13–10	-0.02	17%	6 Jun →
nuke	13–5	-0.03	4%	6 Jun →
mirage	13–11	-0.06	6%	6 Jun →
inferno	9–13	-0.06	2%	6 Jun →
train	11–13	-0.02	0%	6 Jun →
cache	13–5	0.01	2%	6 Jun →
nuke	13–4	0.02	8%	6 Jun →
cache	13–3	-0.02	7%	2 Jun →
ancient	13–9	-0.07	0%	2 Jun →
cache	13–9	-0.03	4%	2 Jun →
inferno	13–3	0.03	14%	2 Jun →
stronghold	11–13	-0.05	12%	1 Jun →
office	13–10	-0.05	0%	1 Jun →
inferno	13–6	0.01	3%	1 Jun →
cache	12–12	-0.07	12%	1 Jun →
ancient	13–4	0.04	2%	1 Jun →
mirage	13–10	-0.01	5%	1 Jun →
anubis	13–6	-0.01	0%	1 Jun →
nuke	13–9	0.00	8%	1 Jun →
cache	13–4	0.02	9%	31 May →
overpass	3–13	-0.06	0%	31 May →
mirage	12–12	-0.09	4%	31 May →