SoapyBottoms — CS2 Stats

76561198116219401[U:1:155953673]Steam profile ↗

1,342Tracked matches25%Win rate2023Tracked since

CSDB Rating2.9 Learning

Premier CS Rating9,267Light Blue band · top ~58.4% of ranked players (population est.)

CSDB Leaderboard#4063 of 5464 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim27

Positioning45

Utility37

0–100 skill scores via Leetify.

Recent form

COLD43–47–10Last 10043%Win rateLWWLLLTWLL

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

Player DNA

Aim2.7

Aggression6.5

Utility3.7

Positioning4.5

Opening Duels2.2

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 Twistzz 76% 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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms 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

Aim2.7

Positioning4.5

Utility3.7

Mechanics4.8

Opening Duels2.2

Win Impact0.0

Composite 2.9/10 (Learning), 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-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time670ms−15ms

first ⅓ avg 685ms → last ⅓ avg 670ms

Headshot accuracy14.5%−4.0%

first ⅓ avg 18.5% → 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

0.26Best rating — inferno 9–2

13–2Biggest win — italy

8Longest win streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 60% over 10vertigoWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	15	6–9	40%	-0.03
nuke	D	15	4–11	27%	-0.06
inferno	B	15	8–7	53%	0.01
ancient	A	10	6–4	60%	-0.03
dust2	D	9	3–6	33%	-0.03
mirage	C	7	3–4	43%	-0.02
vertigo	D	6	0–6	0%	-0.06
train	—	4	2–2	50%	0.05
overpass	—	4	2–2	50%	0.01
anubis	—	3	2–1	67%	-0.02
poseidon	—	2	1–1	50%	-0.05
fachwerk	—	2	1–1	50%	0.00
office	—	2	0–2	0%	-0.01
debris	—	1	1–0	100%	-0.04
eldorado	—	1	0–1	0%	-0.00
boulder	—	1	1–0	100%	0.01
shelter	—	1	1–0	100%	0.09
alpine	—	1	1–0	100%	-0.04
italy	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy

31.9%Accuracy (enemy spotted)

31.0%Spray accuracy

71.4%Counter-strafing

13.8°Preaim

675msReaction time

29.6%T opening success

48.0%CT opening success

0.43Enemies flashed / flash

3.9%Flash assists

6.98HE damage / grenade

3.26Flashes / 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 13.8215° — 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 13.3522% — 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 0.4338 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Vertigo

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	8–13	0.01	8%	27 Aug →
train	13–5	0.10	17%	27 Aug →
cache	13–4	0.05	15%	23 Aug →
mirage	9–13	-0.04	16%	23 Aug →
nuke	5–9	-0.22	13%	23 Aug →
vertigo	4–9	-0.17	7%	23 Aug →
cache	12–12	-0.01	14%	22 Aug →
nuke	13–10	0.02	17%	22 Aug →
mirage	5–13	0.06	25%	22 Aug →
dust2	11–13	0.02	19%	22 Aug →
inferno	9–2	0.26	22%	22 Aug →
dust2	11–13	-0.01	16%	18 Aug →
cache	7–13	-0.02	10%	14 Aug →
nuke	6–9	-0.06	20%	14 Aug →
poseidon	4–9	-0.06	8%	14 Aug →
inferno	3–9	-0.19	6%	14 Aug →
ancient	12–12	-0.05	9%	14 Aug →
inferno	9–3	0.22	13%	14 Aug →
mirage	13–10	-0.09	0%	9 Aug →
nuke	3–13	-0.05	10%	9 Aug →
inferno	10–13	-0.05	2%	9 Aug →
dust2	13–9	-0.06	15%	5 Aug →
inferno	9–6	0.12	18%	5 Aug →
dust2	5–13	-0.06	21%	3 Aug →
mirage	8–13	0.05	17%	3 Aug →
cache	10–3	-0.04	27%	3 Aug →
cache	10–13	-0.07	7%	31 Jul →
ancient	9–13	-0.04	18%	31 Jul →
inferno	8–13	-0.05	18%	29 Jul →
dust2	7–13	-0.02	13%	29 Jul →
mirage	9–13	-0.06	9%	29 Jul →
nuke	12–16	-0.00	10%	29 Jul →
poseidon	9–6	-0.03	39%	29 Jul →
nuke	4–13	-0.10	3%	28 Jul →
vertigo	1–13	-0.07	5%	28 Jul →
inferno	7–13	-0.04	16%	28 Jul →
nuke	14–16	-0.00	15%	27 Jul →
inferno	2–13	-0.10	20%	27 Jul →
dust2	13–7	-0.06	17%	27 Jul →
debris	9–4	-0.04	18%	23 Jul →
ancient	6–13	-0.05	15%	23 Jul →
cache	7–13	-0.12	10%	23 Jul →
nuke	13–10	-0.05	16%	22 Jul →
ancient	13–11	-0.06	13%	22 Jul →
ancient	16–14	-0.03	13%	22 Jul →
cache	12–12	-0.04	13%	22 Jul →
mirage	13–9	-0.04	16%	22 Jul →
nuke	13–10	0.03	12%	20 Jul →
inferno	13–8	-0.07	20%	20 Jul →
ancient	13–11	0.04	13%	20 Jul →
fachwerk	10–13	-0.02	13%	19 Jul →
cache	13–6	-0.00	20%	19 Jul →
inferno	12–12	-0.02	19%	19 Jul →
eldorado	8–8	-0.00	19%	19 Jul →
anubis	13–9	0.00	13%	16 Jul →
boulder	13–9	0.01	14%	16 Jul →
shelter	13–3	0.09	20%	16 Jul →
fachwerk	13–6	0.02	22%	16 Jul →
dust2	13–9	-0.07	32%	14 Jul →
overpass	13–5	0.01	14%	14 Jul →
anubis	13–9	0.01	16%	10 Jul →
inferno	8–2	-0.01	33%	10 Jul →
cache	10–13	-0.04	18%	10 Jul →
dust2	12–12	0.06	16%	8 Jul →
overpass	13–9	-0.02	22%	8 Jul →
office	11–13	-0.00	33%	6 Jul →
office	7–13	-0.01	27%	6 Jul →
inferno	16–12	0.00	16%	6 Jul →
ancient	13–9	-0.05	17%	5 Jul →
anubis	6–13	-0.06	17%	2 Jul →
ancient	8–13	-0.04	13%	2 Jul →
vertigo	6–13	-0.11	12%	1 Jul →
cache	4–13	-0.04	17%	1 Jul →
cache	13–11	-0.09	12%	30 Jun →
overpass	8–8	0.04	17%	30 Jun →
vertigo	11–13	-0.01	18%	27 Jun →
nuke	13–11	-0.09	14%	22 Jun →
ancient	16–14	-0.04	23%	22 Jun →
nuke	8–8	-0.08	16%	22 Jun →
vertigo	6–13	0.01	34%	21 Jun →
train	12–12	-0.02	24%	21 Jun →
mirage	13–9	-0.00	17%	18 Jun →
nuke	6–13	-0.02	19%	17 Jun →
dust2	7–13	-0.04	21%	17 Jun →
train	13–4	0.13	20%	16 Jun →
inferno	11–13	0.04	15%	16 Jun →
cache	13–11	-0.06	25%	16 Jun →
nuke	3–9	-0.09	13%	16 Jun →
nuke	3–13	-0.08	11%	12 Jun →
cache	12–12	-0.02	13%	12 Jun →
cache	9–13	-0.06	22%	11 Jun →
alpine	8–7	-0.04	16%	11 Jun →
inferno	9–6	0.07	11%	11 Jun →
train	6–13	-0.02	17%	8 Jun →
nuke	9–13	-0.07	25%	5 Jun →
overpass	13–16	0.01	17%	5 Jun →
ancient	13–8	-0.02	18%	2 Jun →
italy	13–2	0.08	35%	2 Jun →
cache	13–6	0.05	13%	2 Jun →
inferno	13–7	-0.00	33%	2 Jun →