Soap — CS2 Stats

CD76561198351908101[U:1:391642373]Steam profile ↗✓ No bans

415Tracked matches47%Win rate2020Tracked since

901Hours in CS

CSDB Rating5.4 DevelopingAggressive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim71

Positioning54

Utility7

0–100 skill scores via Leetify.

Recent form

COLD46–47–7Last 10046%Win rateLLWLLLWLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.1

Aggression9.1

Utility0.7

Positioning5.4

Opening Duels4.3

Clutch0.0

Excellent counter-strafingStrong CT-side openerLimited 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 ropz 80% playstyle similarity

Most alike: opening-duel success, 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.

T-side openings. Opening success drops from 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim7.1

Positioning5.4

Utility0.7

Mechanics8.6

Opening Duels4.3

Win Impact3.9

Composite 5.4/10 (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-0.00+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.00

Reaction time669ms−43ms

first ⅓ avg 713ms → last ⅓ avg 669ms

Headshot accuracy19.2%−4.2%

first ⅓ avg 23.4% → last ⅓ avg 19.2%

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

0.10Best rating — dust2 13–2

13–2Biggest win — dust2

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 56% over 9infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	34	15–19	44%	-0.03
mirage	C	21	9–12	43%	-0.01
nuke	C	10	4–6	40%	-0.02
overpass	A	9	5–4	56%	-0.02
ancient	C	8	3–5	38%	0.00
inferno	D	6	2–4	33%	-0.02
anubis	—	3	1–2	33%	-0.04
vertigo	—	3	2–1	67%	-0.01
cache	—	2	1–1	50%	0.03
train	—	2	2–0	100%	0.03
office	—	1	1–0	100%	0.02
grail	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,055Lifetime kills

1.04K/D

1,210Matches

45.3%Match win rate

42.0%Headshot %

13.5%Shot accuracy · Top 50% of tracked players

2,721MVPs

901Hours (in match)

586Bombs planted

301Bombs defused

Most-used weapons

AK-477,412

AWP4,233

M4A4 / M4A1-S2,891

SSG 081,340

Desert Eagle1,213

P2000 / USP-S1,166

Glock-18844

SCAR-20459

G3SG1394

P90358

Lifetime map wins

3,495dust2

1,052inferno

571nuke

298vertigo

198train

96office

50lake

44cbble

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

Faceit stats

Combat

3Matches

67%Win rate

0.86Avg K/D

67.9ADR

43%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

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.

19.8%Headshot accuracy

32.9%Accuracy (enemy spotted)

31.9%Spray accuracy

88.9%Counter-strafing

8.0°Preaim

661msReaction time

38.5%T opening success

55.6%CT opening success

0.15Enemies flashed / flash

1.1%Flash assists

5.79HE damage / grenade

0.80Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1492 — 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 38.5227% — 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.

33% win rate across 6 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
dust2	10–13	-0.10	21%	17 Jul →
dust2	7–13	0.01	37%	3 Jun →
mirage	13–8	0.03	23%	3 Jun →
dust2	7–13	-0.01	29%	3 Jun →
mirage	2–13	-0.01	7%	3 Jun →
dust2	11–13	-0.02	21%	2 Jun →
inferno	13–6	0.03	14%	30 May →
mirage	3–13	-0.04	14%	29 May →
dust2	13–11	0.06	13%	29 May →
dust2	1–3	-0.09	0%	28 May →
cache	13–11	0.07	24%	25 May →
nuke	3–13	-0.08	23%	17 May →
dust2	2–13	-0.12	22%	16 May →
overpass	13–8	0.01	15%	16 May →
office	13–4	0.02	8%	12 May →
anubis	11–13	-0.06	6%	12 May →
dust2	13–2	0.10	17%	12 May →
ancient	13–5	0.08	19%	11 May →
overpass	16–13	0.04	14%	11 May →
mirage	13–16	0.00	20%	11 May →
dust2	5–11	0.05	28%	11 May →
nuke	13–6	-0.03	46%	10 May →
dust2	1–13	-0.03	22%	10 May →
mirage	9–13	-0.06	39%	10 May →
dust2	13–8	0.04	5%	7 May →
cache	11–13	-0.01	9%	7 May →
overpass	13–11	-0.03	11%	3 Apr →
mirage	13–6	0.09	32%	11 Mar →
dust2	13–10	0.00	16%	16 Feb →
ancient	11–13	0.03	30%	10 Feb →
mirage	13–9	0.00	13%	8 Feb →
nuke	13–6	0.00	14%	8 Feb →
overpass	2–13	-0.10	23%	14 Jan →
nuke	8–13	-0.04	12%	5 Nov →
nuke	13–2	0.04	63%	4 Nov →
dust2	13–9	0.04	32%	4 Nov →
dust2	7–4	0.00	12%	4 Nov →
ancient	12–12	0.02	22%	4 Nov →
inferno	11–13	-0.05	21%	4 Nov →
dust2	13–9	-0.05	18%	9 Sept →
dust2	2–13	-0.09	31%	9 Sept →
train	13–3	-0.02	17%	26 Aug →
dust2	11–13	-0.00	30%	7 Aug →
overpass	13–6	0.02	32%	7 Aug →
mirage	1–13	-0.06	50%	7 Aug →
mirage	15–15	0.08	22%	6 Aug →
dust2	6–13	-0.08	29%	6 Aug →
overpass	9–13	-0.01	16%	6 Aug →
dust2	13–11	-0.04	31%	6 Aug →
ancient	7–13	0.04	35%	6 Aug →
nuke	7–13	-0.02	43%	6 Aug →
dust2	13–5	-0.06	33%	6 Aug →
mirage	13–6	0.03	41%	6 Aug →
inferno	14–16	-0.02	23%	6 Aug →
mirage	10–13	-0.04	17%	6 Aug →
dust2	15–15	-0.02	30%	5 Aug →
overpass	9–13	-0.03	17%	5 Aug →
mirage	8–13	-0.06	25%	5 Aug →
dust2	13–8	0.00	11%	5 Aug →
dust2	3–13	0.01	33%	5 Aug →
overpass	4–13	-0.04	22%	4 Aug →
mirage	3–13	-0.01	9%	4 Aug →
mirage	1–13	-0.06	8%	3 Aug →
dust2	8–13	-0.04	33%	23 Jul →
anubis	13–4	0.02	18%	23 Jul →
inferno	5–13	-0.03	36%	23 Jul →
vertigo	13–5	-0.05	36%	23 Jul →
dust2	13–6	-0.06	5%	23 Jul →
nuke	9–13	-0.03	22%	23 Jul →
dust2	5–13	-0.01	21%	23 Jul →
nuke	8–13	-0.09	40%	22 Jul →
mirage	13–10	0.06	20%	21 Jul →
ancient	9–13	-0.06	16%	20 Jul →
mirage	13–8	0.01	32%	20 Jul →
dust2	6–13	-0.03	20%	20 Jul →
mirage	12–12	-0.02	16%	20 Jul →
dust2	1–13	-0.10	29%	20 Jul →
ancient	12–12	-0.02	20%	18 Jul →
dust2	5–13	-0.11	14%	18 Jul →
mirage	13–11	-0.10	11%	17 Jul →
dust2	13–6	-0.05	35%	17 Jul →
dust2	13–5	-0.03	25%	17 Jul →
ancient	13–8	-0.04	23%	15 Jul →
vertigo	13–5	-0.05	47%	15 Jul →
dust2	6–13	-0.02	14%	14 Jul →
dust2	13–10	-0.02	34%	14 Jul →
nuke	13–9	-0.00	38%	14 Jul →
ancient	13–5	-0.05	7%	10 Jul →
inferno	8–8	-0.10	6%	10 Jul →
mirage	13–11	-0.04	27%	10 Jul →
dust2	13–9	0.02	30%	10 Jul →
mirage	10–13	-0.02	21%	9 Jul →
vertigo	9–13	0.05	24%	9 Jul →
mirage	13–6	0.01	48%	9 Jul →
overpass	13–6	0.00	21%	8 Jul →
nuke	12–12	0.02	24%	8 Jul →
inferno	13–5	0.04	12%	8 Jul →
train	13–2	0.07	31%	8 Jul →
grail	13–5	-0.04	17%	7 Jul →
anubis	12–16	-0.07	23%	5 Jul →