catch and cook — CS2 Stats

SE76561198925848024[U:1:965582296]Steam profile ↗✓ No bans

327Tracked matches48%Win rate2021Tracked since

1,433Hours in CS7Hrs last 2 wks

CSDB Rating4.7 DevelopingHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim68

Positioning46

Utility47

0–100 skill scores via Leetify.

Recent form

COLD50–42–8Last 10050%Win rateLWWLLLLLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8

Aggression5.5

Utility4.7

Positioning4.6

Opening Duels1.3

Clutch0.2

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 86% 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. 600ms 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

Aim6.8

Positioning4.6

Utility4.7

Mechanics6.7

Opening Duels1.3

Win Impact4.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time586ms−35ms

first ⅓ avg 620ms → last ⅓ avg 586ms

Headshot accuracy21.3%−1.4%

first ⅓ avg 22.7% → last ⅓ avg 21.3%

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

0.22Best rating — inferno 9–5

13–1Biggest win — mirage

4Longest win streak

9–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 83% over 6dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	12–16	43%	-0.01
inferno	C	26	11–15	42%	-0.01
dust2	C	13	5–8	38%	-0.02
overpass	S	11	9–2	82%	0.03
vertigo	B	8	4–4	50%	-0.05
ancient	S	6	5–1	83%	0.03
nuke	—	4	2–2	50%	0.06
anubis	—	1	1–0	100%	-0.03
aim_map	—	1	0–1	0%	-0.03
cache_b	—	1	1–0	100%	0.03
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,993Lifetime kills

0.94K/D

1,689Matches

44.7%Match win rate

48.9%Headshot % · Top 50% of tracked players

15.0%Shot accuracy · Top 50% of tracked players

4,888MVPs

647Hours (in match)

2,113Bombs planted

413Bombs defused

Most-used weapons

AK-4711,160

M4A4 / M4A1-S5,809

AWP3,517

P2000 / USP-S2,867

Desert Eagle2,816

Glock-181,777

SSG 081,210

Knife1,027

MP7789

Galil AR479

Lifetime map wins

1,294dust2

878inferno

816vertigo

603nuke

317cbble

273train

85office

67lake

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

Faceit stats

Combat

111Matches

52%Win rate

0.95Avg K/D

73.5ADR

49%Headshot %

Clutches & streaks

21%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	56	54%	0.92	12.7
Dust2	18	61%	1.01	14.9
Ancient	12	50%	0.98	17.3
Overpass	8	50%	0.89	14.3
Nuke	7	57%	0.93	14.6
Inferno	4	25%	0.88	14.8
Anubis	2	50%	0.78	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.

20.6%Headshot accuracy

31.9%Accuracy (enemy spotted)

33.2%Spray accuracy

80.3%Counter-strafing

8.7°Preaim

600msReaction time

31.5%T opening success

39.2%CT opening success

0.58Enemies flashed / flash

8.8%Flash assists

11.42HE damage / grenade

3.16Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1632 — below the 4 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 31.4618% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	-0.06	7%	23 Aug →
mirage	13–3	0.15	23%	16 Aug →
mirage	13–9	-0.02	29%	29 Jun →
dust2	1–3	-0.04	29%	23 Apr →
vertigo	2–13	-0.07	13%	23 Apr →
mirage	5–13	-0.09	14%	23 Apr →
mirage	10–13	-0.03	27%	23 Apr →
inferno	4–13	-0.06	20%	5 Apr →
dust2	13–10	0.02	17%	2 Apr →
mirage	16–19	-0.02	16%	25 Mar →
mirage	13–7	-0.04	33%	25 Mar →
inferno	3–9	-0.13	14%	25 Mar →
mirage	6–13	-0.02	28%	25 Mar →
dust2	3–13	-0.10	32%	20 Mar →
dust2	15–15	0.01	22%	20 Mar →
overpass	13–11	-0.02	16%	20 Mar →
mirage	9–13	0.07	21%	19 Mar →
dust2	13–10	0.02	25%	19 Mar →
inferno	8–8	-0.09	24%	19 Mar →
mirage	0–13	-0.08	15%	19 Mar →
inferno	9–2	0.14	32%	19 Mar →
inferno	9–7	0.09	14%	17 Mar →
inferno	9–4	-0.01	30%	17 Mar →
overpass	7–13	0.05	21%	16 Mar →
dust2	13–11	0.05	16%	16 Mar →
inferno	9–4	0.06	22%	14 Mar →
inferno	8–8	-0.09	16%	14 Mar →
ancient	13–7	-0.07	15%	13 Mar →
inferno	13–8	-0.01	24%	12 Mar →
mirage	13–11	-0.02	27%	12 Mar →
overpass	13–8	0.04	15%	12 Mar →
inferno	10–13	-0.03	16%	10 Mar →
ancient	16–13	-0.01	30%	9 Mar →
overpass	16–12	0.05	20%	8 Mar →
nuke	13–3	0.11	19%	6 Mar →
mirage	8–13	0.01	15%	2 Mar →
dust2	6–3	-0.02	14%	2 Mar →
inferno	8–8	-0.07	0%	2 Mar →
inferno	8–8	-0.09	14%	1 Mar →
inferno	9–2	0.10	26%	1 Mar →
overpass	10–13	-0.01	20%	1 Mar →
inferno	9–3	-0.05	7%	1 Mar →
mirage	9–13	-0.08	21%	27 Feb →
ancient	13–6	0.08	22%	26 Feb →
dust2	13–8	-0.02	30%	22 Feb →
overpass	13–11	0.05	15%	22 Feb →
dust2	5–13	-0.09	16%	20 Feb →
nuke	8–8	-0.01	33%	20 Feb →
inferno	9–5	0.22	29%	19 Feb →
mirage	13–1	0.12	24%	17 Feb →
inferno	1–9	-0.16	20%	17 Feb →
mirage	15–15	-0.03	15%	16 Feb →
ancient	13–7	0.16	16%	13 Feb →
inferno	4–13	-0.02	41%	13 Feb →
overpass	9–5	-0.03	19%	11 Feb →
vertigo	9–6	-0.02	29%	31 Jan →
anubis	13–11	-0.03	18%	30 Jan →
dust2	10–13	-0.03	22%	30 Jan →
inferno	8–8	-0.01	33%	30 Jan →
inferno	6–13	-0.04	28%	24 Jan →
mirage	13–3	-0.02	29%	24 Jan →
inferno	9–7	0.03	18%	23 Jan →
dust2	13–11	0.01	21%	22 Jan →
overpass	9–3	0.09	20%	20 Jan →
inferno	6–9	-0.06	16%	20 Jan →
ancient	10–13	-0.01	21%	17 Jan →
nuke	9–2	0.17	40%	13 Jan →
inferno	9–6	0.05	16%	13 Jan →
inferno	7–9	-0.04	30%	13 Jan →
aim_map	17–19	-0.03	38%	11 Jan →
mirage	5–13	-0.05	17%	5 Jan →
mirage	13–4	-0.02	23%	21 Dec →
mirage	16–12	0.03	23%	17 Dec →
vertigo	3–9	-0.18	25%	15 Dec →
mirage	13–7	0.00	24%	7 Dec →
inferno	6–9	0.01	30%	5 Dec →
vertigo	9–5	-0.02	19%	5 Dec →
mirage	10–13	-0.04	12%	29 Nov →
overpass	13–2	-0.03	16%	29 Nov →
inferno	6–13	0.05	26%	29 Nov →
nuke	11–13	-0.01	19%	26 Nov →
mirage	13–16	-0.02	27%	22 Nov →
overpass	13–10	-0.00	26%	21 Nov →
mirage	11–13	-0.07	12%	21 Nov →
mirage	13–4	0.00	12%	21 Nov →
cache_b	13–8	0.03	18%	21 Nov →
dust2	10–13	-0.03	26%	21 Nov →
dust2	13–16	-0.02	34%	15 Nov →
vertigo	9–3	0.12	48%	15 Nov →
vertigo	10–13	-0.01	17%	14 Nov →
ancient	13–8	-0.00	30%	14 Nov →
mirage	13–11	-0.00	13%	14 Nov →
vertigo	13–4	-0.04	21%	14 Nov →
mirage	14–16	-0.04	22%	14 Nov →
mirage	13–5	0.04	18%	12 Nov →
inferno	13–7	0.05	34%	12 Nov →
overpass	13–9	0.10	31%	12 Nov →
vertigo	3–9	-0.15	3%	12 Nov →
mirage	8–13	-0.06	17%	12 Nov →
train	3–13	-0.02	20%	11 Nov →