Soupychan_ — CS2 Stats

US76561197993554721[U:1:33288993]Steam profile ↗✓ No bans

414Tracked matches46%Win rate2020Tracked since

689Hours in CS1Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim27

Positioning46

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWTLWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim2.7

Aggression5.0

Utility3.7

Positioning4.6

Opening Duels1.0

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 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7

Positioning4.6

Utility3.7

Mechanics4.2

Opening Duels1.5

Win Impact3.8

Composite 3.4/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time646ms+6ms

first ⅓ avg 640ms → last ⅓ avg 646ms

Headshot accuracy14.3%+1.4%

first ⅓ avg 12.9% → last ⅓ avg 14.3%

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

0.05Best rating — overpass 7–13

13–0Biggest win — ancient

5Longest win streak

8–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	-0.03
inferno	A	20	12–8	60%	-0.04
ancient	A	17	10–7	59%	-0.03
mirage	D	9	1–8	11%	-0.04
anubis	A	8	5–3	63%	-0.03
overpass	B	8	4–4	50%	-0.02
nuke	—	4	0–4	0%	-0.06
cache	—	3	0–3	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,791Lifetime kills

0.85K/D

1,137Matches

39.8%Match win rate

39.8%Headshot %

11.6%Shot accuracy

1,887MVPs

457Hours (in match)

759Bombs planted

149Bombs defused

Most-used weapons

AK-475,038

M4A4 / M4A1-S4,181

AWP2,718

Desert Eagle1,438

P2000 / USP-S1,177

Glock-18657

MAC-10524

MP9520

SSG 08382

PP-Bizon342

Lifetime map wins

3,120dust2

1,448inferno

320nuke

195train

168vertigo

103office

28cbble

16aztec

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.

14.6%Headshot accuracy

29.8%Accuracy (enemy spotted)

29.9%Spray accuracy

68.9%Counter-strafing

13.6°Preaim

643msReaction time

25.8%T opening success

41.9%CT opening success

0.47Enemies flashed / flash

8.8%Flash assists

9.47HE damage / grenade

3.42Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.6465° — above the 12° mark we flag
Aim Training →
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 14.5697% — 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 0.4731 — below the 0.5 mark we flag
Grenade Lineups →

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.

11% win rate across 9 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
cache	13–16	-0.06	12%	24 Aug →
ancient	13–9	0.00	15%	4 Aug →
cache	15–15	-0.01	19%	3 Aug →
dust2	11–13	-0.07	13%	29 Jul →
ancient	13–5	-0.06	10%	29 Jul →
anubis	13–11	-0.06	14%	27 Jul →
ancient	13–10	-0.03	17%	27 Jul →
inferno	13–16	-0.04	14%	26 Jul →
ancient	13–9	-0.07	9%	18 Jul →
anubis	7–13	-0.05	10%	17 Jul →
inferno	13–8	-0.05	17%	17 Jul →
nuke	7–13	-0.07	10%	17 Jul →
anubis	5–13	-0.05	18%	17 Jul →
dust2	13–6	0.02	21%	12 Jul →
ancient	13–0	-0.01	25%	11 Jul →
dust2	13–10	-0.02	18%	11 Jul →
anubis	13–9	-0.08	7%	6 Jul →
nuke	4–13	-0.05	10%	12 Jun →
ancient	2–13	-0.06	11%	12 Jun →
ancient	8–13	-0.01	17%	3 Jun →
mirage	11–13	-0.08	19%	2 Jun →
inferno	14–16	-0.04	18%	2 Jun →
dust2	13–10	-0.06	18%	20 May →
inferno	15–15	-0.06	12%	19 May →
mirage	8–13	-0.05	10%	30 Apr →
ancient	11–13	-0.05	8%	30 Apr →
cache	10–13	-0.00	21%	30 Apr →
inferno	13–3	-0.01	15%	28 Apr →
overpass	13–8	0.04	19%	28 Apr →
mirage	7–13	-0.03	14%	28 Apr →
overpass	13–6	-0.08	11%	21 Apr →
inferno	13–4	-0.01	10%	21 Apr →
overpass	6–13	-0.09	12%	19 Apr →
dust2	3–13	-0.06	15%	19 Apr →
overpass	15–15	-0.04	17%	6 Apr →
dust2	3–13	-0.09	4%	6 Apr →
inferno	13–7	-0.07	10%	5 Apr →
inferno	6–13	-0.10	7%	5 Apr →
dust2	13–6	-0.05	5%	4 Apr →
dust2	13–10	-0.05	6%	3 Apr →
dust2	8–13	-0.06	10%	2 Apr →
ancient	10–3	-0.05	25%	1 Apr →
dust2	9–13	-0.05	16%	1 Apr →
mirage	13–11	0.04	5%	31 Mar →
inferno	13–9	-0.04	7%	31 Mar →
inferno	13–7	-0.07	12%	30 Mar →
dust2	10–13	-0.03	18%	29 Mar →
inferno	13–3	-0.01	8%	29 Mar →
dust2	13–9	-0.04	17%	27 Mar →
dust2	13–11	0.04	20%	27 Mar →
overpass	13–11	-0.05	10%	23 Mar →
ancient	13–5	0.05	14%	23 Mar →
overpass	10–13	0.03	10%	22 Mar →
mirage	5–13	-0.02	45%	22 Mar →
dust2	13–6	-0.05	8%	21 Mar →
nuke	15–15	-0.04	10%	20 Mar →
mirage	7–13	-0.03	2%	20 Mar →
inferno	10–13	-0.02	12%	18 Mar →
dust2	11–13	-0.04	16%	17 Mar →
anubis	5–11	0.01	8%	15 Mar →
dust2	8–13	-0.09	17%	15 Mar →
ancient	5–13	-0.07	4%	15 Mar →
dust2	13–11	-0.06	11%	15 Mar →
anubis	13–8	-0.04	13%	14 Mar →
inferno	13–9	-0.03	11%	14 Mar →
inferno	13–7	-0.03	6%	14 Mar →
dust2	13–8	0.03	12%	10 Mar →
inferno	5–13	-0.01	14%	10 Mar →
inferno	10–13	-0.05	6%	9 Mar →
dust2	10–13	-0.08	11%	8 Mar →
dust2	15–15	-0.08	7%	8 Mar →
ancient	13–6	0.00	8%	6 Mar →
dust2	13–10	-0.05	7%	4 Mar →
inferno	13–10	-0.08	17%	4 Mar →
mirage	14–16	-0.06	15%	3 Mar →
mirage	8–13	-0.03	14%	3 Mar →
ancient	7–13	0.00	14%	2 Mar →
dust2	13–16	0.03	8%	1 Mar →
mirage	8–13	-0.06	17%	1 Mar →
ancient	8–13	-0.03	19%	28 Feb →
dust2	12–16	-0.02	13%	27 Feb →
inferno	11–13	-0.06	12%	27 Feb →
overpass	13–9	0.01	12%	26 Feb →
dust2	6–13	-0.09	16%	23 Feb →
inferno	16–14	-0.05	18%	22 Feb →
dust2	13–3	-0.02	11%	22 Feb →
anubis	16–13	-0.00	14%	14 Feb →
ancient	13–4	-0.05	21%	12 Feb →
ancient	13–11	-0.01	7%	10 Feb →
dust2	9–13	0.03	12%	10 Feb →
dust2	7–13	-0.03	13%	10 Feb →
anubis	16–12	0.01	16%	24 Jan →
dust2	13–11	-0.01	27%	24 Jan →
dust2	13–10	0.02	11%	24 Jan →
overpass	7–13	0.05	9%	11 Jan →
ancient	3–13	-0.11	13%	7 Jan →
dust2	13–5	-0.01	15%	7 Jan →
inferno	13–3	-0.00	10%	4 Jan →
nuke	6–13	-0.07	8%	4 Jan →
dust2	15–15	-0.03	12%	2 Jan →