Catnip — CS2 Stats

CA76561198155687837[U:1:195422109]Steam profile ↗✓ No bans

423Tracked matches43%Win rate2020Tracked since

3,261Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim76

Positioning65

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLLWLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression9.6

Utility6.3

Positioning6.5

Opening Duels4.9

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 sh1ro 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 602ms 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

Aim7.6

Positioning6.5

Utility6.3

Mechanics7.3

Opening Duels4.9

Win Impact2.6

Composite 6.4/10 (Solid), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time592ms−21ms

first ⅓ avg 613ms → last ⅓ avg 592ms

Headshot accuracy23.9%+1.7%

first ⅓ avg 22.1% → last ⅓ avg 23.9%

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

0.17Best rating — mirage 13–2

13–1Biggest win — inferno

9Longest win streak

L3Current streak

9–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

overpassBest map · 83% over 6ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	38	20–18	53%	0.02
inferno	B	22	10–12	45%	0.03
dust2	B	15	7–8	47%	0.03
ancient	C	9	4–5	44%	0.03
overpass	S	6	5–1	83%	0.06
cache	—	4	1–3	25%	0.01
anubis	—	3	0–3	0%	-0.02
vertigo	—	1	1–0	100%	0.07
nuke	—	1	0–1	0%	0.00
train	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,712Lifetime kills

0.95K/D

11,210Matches

69.1%Match win rate · Top 5% of tracked players

42.2%Headshot %

21.0%Shot accuracy · Top 5% of tracked players

19,181MVPs

3,261Hours (in match)

9,933Bombs planted

3,588Bombs defused

Most-used weapons

AK-4761,145

AWP48,039

M4A4 / M4A1-S21,455

P2000 / USP-S15,516

Desert Eagle8,037

Glock-186,046

P2505,129

Knife3,008

SSG 082,404

Tec-91,717

Lifetime map wins

6,361dust2

5,841inferno

3,146cbble

2,938train

1,911nuke

494vertigo

385office

221dust

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

Faceit stats

Combat

930Matches

53%Win rate

1.41Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

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.

23.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.4%Spray accuracy

82.9%Counter-strafing

10.5°Preaim

602msReaction time

47.4%T opening success

51.4%CT opening success

0.60Enemies flashed / flash

8.9%Flash assists

11.24HE damage / grenade

13.22Flashes / match

Recommended for you

Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	14–16	0.05	27%	4 Aug →
inferno	6–13	-0.01	31%	4 Aug →
mirage	11–13	0.00	24%	18 Jul →
mirage	13–2	0.17	35%	16 Jul →
dust2	6–13	0.09	17%	23 Jun →
dust2	13–10	0.04	13%	23 Jun →
mirage	8–13	0.02	27%	15 Jun →
inferno	13–7	0.04	31%	15 Jun →
mirage	13–8	0.09	16%	3 Jun →
cache	6–13	0.01	15%	31 May →
cache	8–13	-0.01	18%	24 May →
mirage	13–7	-0.00	16%	21 May →
overpass	13–6	0.09	16%	21 May →
mirage	11–13	0.03	18%	20 May →
mirage	13–5	-0.03	20%	20 May →
mirage	15–15	0.05	17%	18 May →
dust2	5–13	-0.09	43%	18 May →
inferno	9–13	0.03	14%	18 May →
mirage	1–13	-0.07	25%	17 May →
cache	5–13	-0.01	10%	16 May →
cache	13–5	0.05	34%	15 May →
dust2	13–9	0.01	20%	7 May →
inferno	13–10	0.08	29%	7 May →
mirage	10–13	-0.06	14%	18 Apr →
ancient	13–10	0.06	29%	18 Apr →
inferno	9–7	0.06	29%	18 Apr →
mirage	11–13	0.04	30%	21 Mar →
mirage	12–12	-0.05	32%	21 Mar →
mirage	4–13	0.02	19%	14 Mar →
mirage	13–9	0.02	35%	8 Mar →
overpass	9–3	0.14	25%	8 Mar →
inferno	5–13	-0.02	39%	7 Mar →
anubis	4–13	-0.04	19%	7 Mar →
inferno	7–13	-0.01	20%	7 Mar →
overpass	13–7	0.05	22%	7 Mar →
dust2	13–5	0.01	25%	6 Mar →
mirage	12–12	0.07	29%	6 Mar →
inferno	6–9	-0.07	14%	3 Mar →
mirage	13–5	-0.04	22%	3 Mar →
ancient	10–13	0.05	28%	1 Mar →
inferno	16–14	0.06	31%	1 Mar →
vertigo	9–7	0.07	21%	25 Feb →
mirage	8–13	0.02	17%	22 Feb →
inferno	13–5	0.05	31%	22 Feb →
inferno	13–10	0.03	21%	22 Feb →
mirage	15–15	0.06	24%	21 Feb →
inferno	13–9	0.03	26%	21 Feb →
mirage	8–13	0.09	20%	21 Feb →
inferno	8–13	-0.02	21%	15 Feb →
ancient	13–16	0.04	29%	14 Feb →
inferno	15–15	-0.01	35%	14 Feb →
mirage	16–12	0.06	26%	14 Feb →
dust2	11–13	0.04	26%	14 Feb →
ancient	13–9	0.04	18%	14 Feb →
anubis	11–13	0.01	19%	14 Feb →
inferno	7–13	0.06	33%	13 Feb →
dust2	10–13	0.08	25%	12 Feb →
ancient	6–13	0.06	26%	7 Feb →
inferno	13–9	0.08	27%	7 Feb →
mirage	13–9	0.11	34%	7 Feb →
overpass	8–13	0.03	23%	7 Feb →
anubis	4–13	-0.03	16%	6 Feb →
ancient	13–11	0.07	26%	6 Feb →
mirage	13–16	-0.00	25%	5 Feb →
dust2	6–13	0.02	25%	4 Feb →
mirage	16–14	-0.01	22%	4 Feb →
inferno	5–13	0.02	17%	31 Jan →
dust2	13–11	0.05	22%	31 Jan →
ancient	3–13	-0.09	28%	31 Jan →
inferno	13–4	0.06	18%	31 Jan →
mirage	8–13	-0.02	26%	31 Jan →
dust2	4–13	0.08	33%	31 Jan →
dust2	16–13	0.05	13%	30 Jan →
inferno	13–16	0.02	16%	30 Jan →
mirage	13–8	-0.06	11%	29 Jan →
mirage	13–10	0.07	24%	28 Jan →
dust2	10–13	-0.03	19%	28 Jan →
mirage	16–13	0.10	18%	25 Jan →
nuke	8–13	0.00	27%	25 Jan →
inferno	6–13	-0.01	17%	25 Jan →
mirage	12–16	-0.00	18%	25 Jan →
mirage	13–11	0.03	16%	25 Jan →
mirage	16–13	0.03	22%	22 Jan →
dust2	13–10	-0.03	21%	20 Jan →
mirage	13–4	0.06	31%	18 Jan →
train	13–8	0.11	29%	18 Jan →
ancient	13–7	0.01	32%	18 Jan →
inferno	13–1	0.10	28%	18 Jan →
mirage	13–5	-0.02	18%	18 Jan →
mirage	13–10	0.06	22%	18 Jan →
ancient	5–13	-0.01	28%	18 Jan →
dust2	6–13	0.09	24%	18 Jan →
mirage	13–10	-0.06	10%	18 Jan →
overpass	13–10	0.03	19%	17 Jan →
mirage	13–10	0.04	17%	15 Jan →
mirage	11–13	-0.02	19%	14 Jan →
overpass	13–10	0.03	27%	14 Jan →
inferno	4–13	-0.02	24%	13 Jan →
mirage	13–11	0.04	16%	13 Jan →
dust2	13–11	0.06	41%	8 Jan →