Chowder — CS2 Stats

76561199558609593[U:1:1598343865]Steam profile ↗✓ No bans

842Tracked matches54%Win rate2023Tracked since

711Hours in CS1Hrs last 2 wks

CSDB Rating5.1 DevelopingClutch Specialist

Premier CS Rating12,252Blue band · top ~43% of ranked players (population est.)

CSDB Leaderboard#12439 of 17646 tracked

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning52

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLLLLWWWT

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.7

Aggression4.5

Utility3.5

Positioning5.2

Opening Duels0.9

Clutch9.4

Limited utility dependenceReliable in 1v1s

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 85% 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. 633ms 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

Aim6.7

Positioning5.2

Utility3.5

Mechanics7.4

Opening Duels1.1

Win Impact6.2

Composite 5.1/10 (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 0.01 → last ⅓ avg 0.01

Reaction time642ms−26ms

first ⅓ avg 668ms → last ⅓ avg 642ms

Headshot accuracy14.5%−1.9%

first ⅓ avg 16.4% → last ⅓ avg 14.5%

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

0.12Best rating — mirage 13–5

13–3Biggest win — anubis

5Longest win streak

8–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.01
nuke	A	22	12–10	55%	0.01
inferno	C	12	5–7	42%	0.01
anubis	D	11	3–8	27%	0.00
dust2	D	11	3–8	27%	-0.02
ancient	D	9	3–6	33%	0.00
cache	S	5	4–1	80%	0.02
overpass	—	4	1–3	25%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,749Lifetime kills

1.16K/D · Top 50% of tracked players

985Matches

46.1%Match win rate

41.1%Headshot %

0.0%Shot accuracy

2,584MVPs

403Hours (in match)

838Bombs planted

322Bombs defused

Most-used weapons

AK-476,120

M4A4 / M4A1-S4,041

AWP1,532

P2000 / USP-S809

Glock-18653

MP9572

Galil AR422

MAC-10300

Desert Eagle275

XM1014252

Lifetime map wins

1,766nuke

1,751dust2

697inferno

451train

199vertigo

69office

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

Faceit stats

Combat

6Matches

50%Win rate

1.24Avg K/D

95.3ADR

47%Headshot %

Clutches & streaks

67%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.60	23.0
Anubis	2	50%	1.14	17.5
Dust2	1	100%	1.12	9.0
Ancient	1	0%	0.83	15.0

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.

13.9%Headshot accuracy

35.8%Accuracy (enemy spotted)

38.2%Spray accuracy

83.4%Counter-strafing

9.4°Preaim

633msReaction time

27.8%T opening success

39.2%CT opening success

0.43Enemies flashed / flash

9.1%Flash assists

7.38HE damage / grenade

3.13Flashes / 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 13.9378% — 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 0.428 — 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 27.8284% — 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.

27% win rate across 11 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
anubis	8–13	0.00	23%	25 Aug →
ancient	16–14	-0.02	17%	6 Aug →
mirage	9–13	0.11	14%	6 Aug →
anubis	7–13	0.02	12%	6 Aug →
nuke	6–13	-0.04	15%	5 Aug →
inferno	6–13	-0.05	25%	5 Aug →
nuke	13–7	0.06	20%	5 Aug →
anubis	13–9	0.02	11%	31 Jul →
mirage	13–4	0.10	16%	31 Jul →
mirage	15–15	-0.01	17%	31 Jul →
nuke	7–13	-0.04	14%	28 Jul →
cache	13–6	0.01	21%	23 Jul →
cache	13–11	0.03	19%	23 Jul →
anubis	15–15	0.03	14%	23 Jul →
mirage	13–11	0.01	9%	23 Jul →
cache	13–4	0.03	11%	23 Jul →
cache	13–6	0.06	13%	19 Jul →
mirage	7–13	-0.04	13%	19 Jul →
mirage	10–13	-0.04	10%	19 Jul →
ancient	2–13	-0.02	10%	19 Jul →
mirage	14–16	-0.03	8%	18 Jul →
ancient	16–13	0.08	9%	18 Jul →
inferno	7–13	-0.01	11%	18 Jul →
mirage	13–11	0.01	8%	18 Jul →
mirage	13–5	0.03	13%	18 Jul →
nuke	13–8	0.06	14%	18 Jul →
inferno	13–7	0.05	9%	18 Jul →
dust2	6–13	-0.05	12%	14 Jul →
anubis	5–13	-0.06	8%	9 Jul →
nuke	13–11	0.01	23%	5 Jul →
mirage	4–13	-0.01	17%	5 Jul →
dust2	7–13	-0.01	17%	25 Jun →
mirage	13–5	0.07	24%	25 Jun →
mirage	7–13	-0.07	11%	11 Jun →
anubis	13–3	0.06	15%	11 Jun →
inferno	13–8	0.03	13%	11 Jun →
mirage	13–5	0.12	15%	10 Jun →
inferno	13–6	0.06	17%	10 Jun →
nuke	13–5	0.05	32%	7 Jun →
overpass	6–13	0.04	32%	7 Jun →
overpass	11–13	0.05	10%	6 Jun →
dust2	13–5	0.06	21%	6 Jun →
mirage	13–7	0.01	13%	2 Jun →
nuke	8–13	-0.05	23%	1 Jun →
inferno	13–10	0.05	21%	28 May →
overpass	13–11	-0.00	23%	28 May →
mirage	6–13	-0.07	13%	25 May →
nuke	13–8	-0.01	15%	25 May →
dust2	14–16	-0.09	12%	13 May →
anubis	6–13	-0.01	8%	12 May →
ancient	13–16	-0.03	10%	12 May →
nuke	11–13	-0.04	8%	11 May →
inferno	11–13	-0.03	16%	10 May →
mirage	13–6	0.01	11%	10 May →
inferno	13–5	0.07	11%	10 May →
nuke	13–6	-0.00	11%	9 May →
anubis	15–15	-0.01	12%	5 May →
ancient	8–13	0.01	16%	5 May →
cache	6–13	-0.04	7%	29 Apr →
nuke	11–13	0.00	8%	26 Apr →
nuke	6–13	0.06	17%	26 Apr →
overpass	13–16	-0.02	21%	25 Apr →
mirage	4–13	-0.08	4%	25 Apr →
dust2	8–13	-0.07	15%	25 Apr →
nuke	16–14	-0.07	20%	24 Apr →
nuke	13–6	0.02	9%	24 Apr →
mirage	13–3	0.07	2%	20 Apr →
ancient	15–15	-0.01	13%	18 Apr →
dust2	6–13	-0.03	20%	16 Apr →
nuke	5–13	-0.01	28%	16 Apr →
inferno	7–13	0.05	28%	12 Apr →
inferno	11–13	0.02	16%	12 Apr →
nuke	13–7	0.06	11%	12 Apr →
dust2	13–3	0.05	16%	11 Apr →
ancient	5–13	-0.05	12%	7 Apr →
nuke	13–3	0.06	16%	2 Apr →
dust2	8–13	-0.06	15%	2 Apr →
nuke	11–13	0.01	36%	29 Mar →
dust2	13–9	0.07	12%	29 Mar →
mirage	13–3	0.00	17%	29 Mar →
mirage	11–13	0.05	16%	19 Mar →
mirage	13–11	0.04	16%	19 Mar →
ancient	7–13	-0.01	5%	18 Mar →
mirage	13–8	0.03	18%	18 Mar →
nuke	10–13	0.01	18%	14 Mar →
inferno	3–13	-0.05	25%	14 Mar →
ancient	13–7	0.07	9%	10 Mar →
anubis	16–13	0.04	9%	10 Mar →
nuke	13–9	0.02	15%	5 Mar →
dust2	5–13	-0.07	22%	5 Mar →
nuke	13–8	-0.03	22%	5 Mar →
dust2	10–13	0.03	17%	1 Mar →
inferno	11–13	-0.02	10%	1 Mar →
mirage	13–16	-0.02	7%	27 Feb →
mirage	6–13	0.05	30%	27 Feb →
anubis	13–16	-0.03	10%	24 Feb →
mirage	13–10	0.00	14%	24 Feb →
nuke	6–13	0.06	15%	24 Feb →
mirage	8–13	-0.01	6%	19 Feb →
anubis	2–13	-0.03	17%	19 Feb →