swaggy — CS2 Stats

76561198174420275[U:1:214154547]Steam profile ↗

642Tracked matches48%Win rate2022Tracked since

1,200Hours in CS

CSDB Rating5.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning58

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateTLLWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9

Aggression6.9

Utility5.2

Positioning5.8

Opening Duels3.5

Clutch3.0

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 ropz 92% 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. 612ms 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

Aim7.9

Positioning5.8

Utility5.2

Mechanics8.1

Opening Duels3.5

Win Impact4.4

Composite 5.7/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time617ms−12ms

first ⅓ avg 629ms → last ⅓ avg 617ms

Headshot accuracy21.9%+2.5%

first ⅓ avg 19.4% → last ⅓ avg 21.9%

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

0.20Best rating — overpass 13–5

13–1Biggest win — dust2

13Longest win streak

6–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 64% over 25anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	25	16–9	64%	0.02
dust2	A	16	9–7	56%	0.02
ancient	B	15	7–8	47%	0.01
mirage	B	15	7–8	47%	-0.00
nuke	B	13	7–6	54%	0.01
inferno	C	7	3–4	43%	0.01
anubis	C	5	2–3	40%	-0.01
overpass	—	2	1–1	50%	0.05
train	—	1	1–0	100%	0.06
office	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,983Lifetime kills

1.06K/D · Top 50% of tracked players

2,638Matches

43.4%Match win rate

40.3%Headshot %

12.1%Shot accuracy

5,943MVPs

1,200Hours (in match)

1,640Bombs planted

572Bombs defused

Most-used weapons

AK-4721,409

M4A4 / M4A1-S9,013

AWP4,402

P2000 / USP-S2,084

Desert Eagle2,023

Glock-181,333

P250882

MP9745

P90689

Five-SeveN595

Lifetime map wins

7,529dust2

1,753nuke

1,725inferno

653train

572cbble

235vertigo

48office

27aztec

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

Faceit stats

Combat

205Matches

52%Win rate

1.28Avg K/D

87.3ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	55%	1.48	16.9
Ancient	20	50%	1.30	20.0
Dust2	19	53%	1.21	16.9
Nuke	17	41%	1.17	17.5
Inferno	11	64%	1.60	17.8
Anubis	10	40%	1.21	19.4
Vertigo	8	100%	1.76	20.1
Train	2	100%	1.15	15.5

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.

21.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.1%Spray accuracy

86.6%Counter-strafing

9.5°Preaim

612msReaction time

37.8%T opening success

50.1%CT opening success

0.53Enemies flashed / flash

7.2%Flash assists

5.10HE damage / grenade

12.19Flashes / 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 37.7843% — 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.

40% win rate across 5 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
ancient	15–15	0.01	13%	11 Jul →
nuke	14–16	-0.01	22%	10 Jul →
mirage	4–13	-0.02	28%	9 Jul →
nuke	13–10	0.03	20%	9 Jul →
cache	16–12	0.03	24%	9 Jul →
anubis	13–11	-0.04	18%	9 Jul →
mirage	13–3	0.05	36%	5 Jul →
anubis	10–13	0.01	24%	5 Jul →
cache	13–9	-0.01	20%	27 Jun →
dust2	10–13	-0.02	20%	23 Jun →
ancient	5–13	-0.04	15%	23 Jun →
dust2	5–13	0.00	24%	23 Jun →
mirage	9–13	-0.06	29%	13 Jun →
ancient	6–13	0.00	25%	13 Jun →
cache	12–12	-0.02	18%	29 May →
cache	12–12	0.03	24%	29 May →
nuke	13–5	-0.00	14%	22 May →
cache	13–9	0.05	11%	19 May →
cache	13–10	0.06	19%	19 May →
cache	10–13	-0.04	17%	17 May →
cache	10–13	-0.00	22%	17 May →
cache	6–13	0.09	21%	10 May →
cache	13–2	-0.02	14%	10 May →
cache	10–13	0.05	24%	8 May →
cache	13–8	0.00	16%	8 May →
nuke	16–13	-0.02	27%	8 May →
inferno	11–13	0.03	33%	8 May →
ancient	11–13	0.03	24%	8 May →
cache	13–9	0.01	22%	7 May →
cache	13–6	0.03	24%	7 May →
cache	1–13	-0.03	40%	7 May →
cache	13–11	0.02	17%	2 May →
cache	12–12	0.00	17%	2 May →
cache	13–3	0.06	24%	2 May →
cache	13–6	0.02	17%	2 May →
cache	12–12	-0.01	10%	2 May →
mirage	16–13	-0.03	20%	1 May →
dust2	5–13	-0.04	26%	1 May →
cache	13–10	0.08	24%	1 May →
cache	13–4	0.05	26%	1 May →
cache	13–8	0.11	25%	1 May →
cache	13–11	0.01	27%	30 Apr →
cache	5–1	-0.14	0%	29 Apr →
train	13–10	0.06	23%	28 Apr →
dust2	13–5	0.06	31%	28 Apr →
overpass	13–5	0.20	30%	27 Apr →
dust2	13–1	0.18	27%	27 Apr →
dust2	13–2	0.07	29%	27 Apr →
mirage	13–2	0.17	15%	27 Apr →
dust2	13–1	0.07	32%	25 Apr →
office	13–8	0.00	34%	25 Apr →
mirage	8–13	-0.05	11%	24 Apr →
inferno	6–13	-0.05	27%	24 Apr →
mirage	13–1	0.04	31%	24 Apr →
ancient	15–15	0.02	27%	24 Apr →
dust2	13–2	0.04	35%	21 Apr →
nuke	13–4	0.07	24%	21 Apr →
inferno	13–10	0.06	24%	21 Apr →
mirage	13–10	0.03	28%	20 Apr →
mirage	13–6	0.03	28%	19 Apr →
ancient	14–16	-0.01	21%	19 Apr →
inferno	13–9	0.02	24%	19 Apr →
dust2	2–13	-0.04	17%	19 Apr →
ancient	13–8	0.05	28%	19 Apr →
ancient	13–3	0.04	29%	19 Apr →
dust2	6–13	-0.06	28%	12 Apr →
ancient	13–9	-0.01	22%	12 Apr →
dust2	8–13	0.04	24%	12 Apr →
dust2	16–13	-0.00	16%	5 Apr →
nuke	5–13	-0.04	20%	5 Apr →
overpass	7–13	-0.10	20%	5 Apr →
ancient	11–13	-0.01	19%	29 Mar →
mirage	11–13	-0.02	23%	29 Mar →
nuke	15–15	0.02	35%	29 Mar →
inferno	9–13	-0.02	17%	28 Mar →
dust2	13–6	0.04	22%	28 Mar →
nuke	13–16	-0.04	15%	28 Mar →
mirage	4–13	-0.06	13%	28 Mar →
nuke	13–6	0.06	19%	28 Mar →
ancient	9–13	-0.03	31%	27 Mar →
anubis	13–9	0.01	15%	7 Mar →
mirage	9–13	0.01	25%	7 Mar →
mirage	13–9	-0.04	36%	12 Feb →
inferno	9–13	-0.01	22%	5 Feb →
mirage	11–13	-0.05	7%	5 Feb →
nuke	13–9	0.02	25%	5 Feb →
dust2	13–7	0.06	32%	5 Feb →
ancient	13–5	-0.03	16%	5 Feb →
nuke	8–13	0.02	16%	5 Feb →
inferno	16–14	0.06	12%	4 Feb →
nuke	9–13	-0.04	16%	4 Feb →
ancient	13–7	0.05	11%	2 Feb →
mirage	12–16	0.00	9%	1 Feb →
anubis	4–13	-0.02	14%	1 Feb →
ancient	13–10	0.02	34%	1 Feb →
anubis	10–13	-0.01	10%	1 Feb →
dust2	13–11	-0.01	20%	31 Jan →
dust2	4–13	-0.03	19%	31 Jan →
ancient	13–11	0.01	12%	31 Jan →
nuke	16–12	0.02	12%	30 Jan →