Swayin — CS2 Stats

76561198087850585[U:1:127584857]Steam profile ↗✓ No bans

459Tracked matches50%Win rate2021Tracked since

2,866Hours in CS1Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim67

Positioning48

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWLWLTLWWTW

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

Player DNA

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

Aim6.7

Aggression4.8

Utility5.8

Positioning4.8

Opening Duels1.5

Clutch6.8

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 646ms 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

Positioning4.8

Utility5.8

Mechanics7.0

Opening Duels1.5

Win Impact5.0

Composite 5.5/10 (Solid), 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-0.01−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time641ms+10ms

first ⅓ avg 631ms → last ⅓ avg 641ms

Headshot accuracy20.4%−3.5%

first ⅓ avg 23.9% → last ⅓ avg 20.4%

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

0.16Best rating — mirage 5–13

13–1Biggest win — mirage

6Longest win streak

6–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 86% over 7ancientWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	20	13–7	65%	0.02
inferno	A	19	12–7	63%	0.03
ancient	D	16	4–12	25%	0.01
nuke	D	12	4–8	33%	0.02
dust2	C	8	3–5	38%	-0.00
anubis	C	8	3–5	38%	0.02
cache	S	7	6–1	86%	0.04
overpass	C	5	2–3	40%	-0.02
vertigo	—	3	1–2	33%	-0.02
train	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,465Lifetime kills

1.16K/D · Top 25% of tracked players

3,022Matches

43.6%Match win rate

52.0%Headshot % · Top 25% of tracked players

21.3%Shot accuracy · Top 5% of tracked players

6,979MVPs

1,765Hours (in match)

3,325Bombs planted

872Bombs defused

Most-used weapons

AK-4729,070

M4A4 / M4A1-S16,717

AWP7,178

P2000 / USP-S6,351

Desert Eagle3,581

Glock-182,695

Galil AR2,622

Tec-91,775

FAMAS1,459

P2501,022

Lifetime map wins

5,320dust2

1,833inferno

1,072nuke

699train

373cbble

337vertigo

69office

22ar_shoots

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

Faceit stats

Combat

256Matches

54%Win rate

1.38Avg K/D

88.3ADR

46%Headshot %

Clutches & streaks

54%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	83%	1.02	15.7
Ancient	4	50%	1.17	19.0
Cache	3	0%	0.62	11.7
Dust2	2	100%	1.16	26.0
Overpass	2	100%	1.22	20.0
Anubis	1	0%	0.63	12.0
Inferno	1	100%	2.75	22.0

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.

21.5%Headshot accuracy

35.1%Accuracy (enemy spotted)

39.4%Spray accuracy

81.7%Counter-strafing

11.6°Preaim

646msReaction time

39.2%T opening success

32.9%CT opening success

0.62Enemies flashed / flash

8.7%Flash assists

10.69HE damage / grenade

8.64Flashes / 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
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 39.2171% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.01	27%	25 Aug →
dust2	11–13	0.04	22%	25 Aug →
mirage	13–1	0.02	17%	8 Aug →
mirage	5–13	-0.01	25%	2 Aug →
nuke	15–15	0.05	22%	29 Jul →
vertigo	0–7	-0.05	17%	14 Jun →
dust2	13–4	0.05	28%	14 Jun →
train	13–11	-0.08	16%	12 Jun →
vertigo	12–12	-0.06	29%	12 Jun →
cache	13–9	-0.05	18%	8 Jun →
anubis	13–10	0.01	23%	7 Jun →
dust2	4–2	-0.07	0%	7 Jun →
inferno	6–0	0.00	0%	7 Jun →
anubis	5–13	0.01	16%	31 May →
inferno	5–13	-0.04	22%	31 May →
ancient	13–7	-0.01	23%	31 May →
ancient	10–13	-0.04	27%	31 May →
mirage	13–6	-0.09	21%	31 May →
mirage	13–9	0.01	21%	30 May →
mirage	11–13	-0.02	17%	30 May →
mirage	10–13	0.00	20%	26 May →
anubis	6–13	-0.02	18%	25 May →
inferno	13–9	-0.04	21%	25 May →
ancient	10–13	0.01	16%	25 May →
dust2	1–13	-0.08	13%	25 May →
nuke	13–6	0.05	13%	25 May →
inferno	9–13	-0.00	34%	25 May →
nuke	13–9	0.00	30%	25 May →
ancient	3–13	0.01	21%	25 May →
anubis	7–13	-0.05	38%	25 May →
inferno	9–13	-0.03	21%	25 May →
mirage	13–8	0.02	23%	24 May →
inferno	5–13	0.01	17%	24 May →
ancient	8–13	-0.00	14%	24 May →
inferno	13–7	-0.02	30%	24 May →
nuke	16–13	0.04	16%	23 May →
mirage	13–5	0.00	17%	23 May →
ancient	8–13	-0.05	17%	23 May →
mirage	8–13	-0.01	34%	23 May →
ancient	10–13	0.07	23%	23 May →
overpass	13–5	0.03	35%	23 May →
inferno	13–6	-0.01	23%	22 May →
inferno	13–3	0.10	41%	22 May →
train	12–12	0.14	28%	22 May →
ancient	13–8	0.05	18%	22 May →
mirage	13–11	0.05	34%	21 May →
inferno	13–10	0.03	15%	21 May →
cache	13–11	0.06	20%	21 May →
anubis	13–6	0.06	27%	21 May →
dust2	10–13	0.00	36%	19 May →
dust2	10–13	0.02	42%	18 May →
overpass	13–5	-0.04	19%	18 May →
mirage	13–5	-0.01	21%	18 May →
ancient	11–13	-0.01	20%	17 May →
mirage	2–13	-0.02	18%	17 May →
ancient	15–15	0.07	24%	17 May →
inferno	5–13	0.04	18%	17 May →
anubis	13–6	0.01	27%	17 May →
ancient	12–12	0.02	25%	17 May →
mirage	11–7	-0.01	14%	17 May →
cache	13–7	0.10	24%	17 May →
mirage	13–3	0.13	22%	17 May →
inferno	13–11	-0.01	22%	17 May →
dust2	13–7	0.01	19%	16 May →
vertigo	13–10	0.06	21%	16 May →
anubis	9–13	0.08	21%	16 May →
mirage	5–13	0.16	19%	16 May →
overpass	8–13	-0.01	16%	16 May →
inferno	12–12	0.11	40%	16 May →
cache	6–13	0.08	22%	16 May →
overpass	6–13	-0.07	20%	15 May →
ancient	11–13	-0.01	19%	15 May →
ancient	7–13	0.03	25%	15 May →
overpass	10–13	-0.01	22%	12 May →
nuke	7–13	0.04	29%	12 May →
nuke	10–13	0.05	25%	11 May →
mirage	13–8	0.05	17%	11 May →
inferno	16–14	0.06	14%	11 May →
inferno	15–15	0.10	27%	11 May →
mirage	13–8	0.02	37%	11 May →
nuke	9–13	-0.03	24%	11 May →
ancient	13–2	0.01	22%	11 May →
nuke	11–13	-0.03	20%	10 May →
mirage	13–2	0.03	32%	10 May →
nuke	7–13	0.01	20%	10 May →
mirage	13–5	0.04	19%	10 May →
inferno	13–2	0.08	32%	10 May →
cache	13–10	0.01	24%	10 May →
nuke	6–13	-0.01	18%	10 May →
ancient	13–10	-0.03	19%	10 May →
dust2	5–13	-0.01	34%	10 May →
cache	13–4	0.05	31%	10 May →
cache	13–6	0.05	38%	10 May →
ancient	9–13	-0.02	12%	10 May →
inferno	13–10	0.05	21%	9 May →
anubis	5–13	0.04	24%	9 May →
nuke	5–13	-0.00	29%	9 May →
inferno	13–4	0.05	17%	9 May →
nuke	13–7	0.02	19%	9 May →
mirage	10–13	0.03	19%	9 May →