Swagggxz ✝ — CS2 Stats

US76561198341889659[U:1:381623931]Steam profile ↗

795Tracked matches47%Win rate2020Tracked since

1,797Hours in CS29Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating17,243Purple band · top ~19.5% of ranked players (population est.)

CSDB Leaderboard#7312 of 12630 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver II

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning56

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWWWLWLWLL

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

Player DNA

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

Aim7.6

Aggression6.6

Utility4.5

Positioning5.6

Opening Duels2.6

Clutch1.4

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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.

Reaction time. 555ms 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

Aim7.6

Positioning5.6

Utility4.5

Mechanics6.7

Opening Duels2.6

Win Impact3.9

Composite 5.7/10 (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 rating0.01+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time562ms−46ms

first ⅓ avg 608ms → last ⅓ avg 562ms

Headshot accuracy20.2%+4.2%

first ⅓ avg 16.0% → last ⅓ avg 20.2%

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

0.14Best rating — cache 13–4

13–0Biggest win — mirage

5Longest win streak

4–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 53% over 15infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	15–15	50%	-0.00
mirage	C	21	9–12	43%	-0.00
ancient	B	15	8–7	53%	0.00
nuke	B	13	6–7	46%	-0.00
cache	B	10	5–5	50%	0.02
anubis	D	6	2–4	33%	0.00
inferno	D	5	1–4	20%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,607Lifetime kills

0.96K/D

1,736Matches

43.3%Match win rate

51.0%Headshot % · Top 50% of tracked players

9.4%Shot accuracy

3,810MVPs

1,183Hours (in match)

1,424Bombs planted

410Bombs defused

Most-used weapons

AK-4713,360

M4A4 / M4A1-S5,527

AWP2,293

Desert Eagle2,054

P2000 / USP-S1,775

Glock-181,575

Galil AR838

MAC-10677

MP9580

FAMAS524

Lifetime map wins

4,657dust2

1,546inferno

1,359nuke

313train

294vertigo

168office

137cbble

49lake

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

Faceit stats

Combat

108Matches

52%Win rate

0.99Avg K/D

72.0ADR

43%Headshot %

Clutches & streaks

27%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	44%	0.92	12.7
Dust2	15	60%	1.17	17.4
Ancient	8	88%	0.89	12.6
Nuke	3	67%	0.80	9.0
Inferno	3	67%	0.55	9.3
Cache	2	100%	1.01	15.5
Anubis	1	0%	0.44	8.0
Overpass	1	100%	1.67	15.0

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.

19.4%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.9%Spray accuracy

80.0%Counter-strafing

9.7°Preaim

555msReaction time

33.1%T opening success

48.0%CT opening success

0.37Enemies flashed / flash

5.3%Flash assists

8.59HE damage / grenade

6.86Flashes / 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 0.3675 — 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 33.1466% — 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.

20% win rate across 5 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
mirage	7–13	-0.01	27%	28 Aug →
nuke	16–12	-0.03	8%	27 Aug →
ancient	13–2	-0.01	30%	27 Aug →
dust2	13–6	0.06	25%	27 Aug →
anubis	1–13	-0.08	28%	26 Aug →
dust2	13–7	-0.01	13%	26 Aug →
dust2	6–13	0.01	30%	25 Aug →
mirage	13–11	0.08	8%	25 Aug →
dust2	8–13	-0.02	30%	24 Aug →
nuke	12–16	-0.02	10%	21 Aug →
mirage	13–10	-0.02	15%	21 Aug →
nuke	13–16	0.05	13%	20 Aug →
cache	13–4	0.14	31%	20 Aug →
dust2	16–14	0.01	17%	20 Aug →
mirage	11–13	-0.05	21%	15 Aug →
anubis	10–13	0.01	21%	15 Aug →
ancient	10–13	-0.02	16%	14 Aug →
nuke	4–13	-0.01	11%	14 Aug →
ancient	13–4	0.02	25%	14 Aug →
mirage	7–13	0.05	15%	14 Aug →
dust2	13–3	-0.03	22%	14 Aug →
nuke	5–13	0.01	9%	14 Aug →
mirage	4–13	0.07	26%	14 Aug →
dust2	13–8	0.09	27%	14 Aug →
mirage	13–5	0.01	20%	14 Aug →
ancient	13–4	-0.00	24%	14 Aug →
nuke	10–13	-0.04	10%	13 Aug →
dust2	8–13	-0.03	18%	13 Aug →
dust2	10–13	-0.05	16%	13 Aug →
cache	13–7	0.07	40%	13 Aug →
inferno	11–13	-0.00	21%	9 Aug →
ancient	13–8	0.10	16%	9 Aug →
anubis	13–9	0.01	24%	7 Aug →
mirage	7–13	-0.08	15%	7 Aug →
dust2	9–13	0.03	18%	7 Aug →
nuke	13–6	0.06	19%	7 Aug →
mirage	13–7	0.09	22%	5 Aug →
nuke	13–4	0.05	11%	5 Aug →
mirage	13–9	0.05	19%	5 Aug →
dust2	13–4	0.03	28%	5 Aug →
ancient	11–13	0.03	13%	4 Aug →
nuke	16–12	-0.00	20%	4 Aug →
dust2	13–3	0.09	17%	4 Aug →
dust2	4–13	-0.07	21%	4 Aug →
ancient	13–10	-0.00	11%	3 Aug →
ancient	8–13	-0.07	8%	3 Aug →
anubis	7–13	-0.05	4%	3 Aug →
inferno	10–13	0.03	25%	3 Aug →
nuke	1–13	-0.06	30%	3 Aug →
dust2	11–13	-0.02	13%	3 Aug →
mirage	4–13	-0.00	15%	2 Aug →
cache	13–6	0.08	14%	2 Aug →
mirage	13–2	-0.00	14%	2 Aug →
cache	7–13	-0.07	13%	31 Jul →
cache	9–13	-0.06	12%	29 Jul →
cache	13–1	0.05	12%	29 Jul →
dust2	13–4	0.02	23%	29 Jul →
ancient	10–13	-0.03	8%	29 Jul →
mirage	10–13	-0.00	6%	28 Jul →
mirage	13–0	0.01	10%	28 Jul →
ancient	13–4	0.04	17%	28 Jul →
mirage	2–13	-0.02	17%	28 Jul →
inferno	11–13	0.00	18%	27 Jul →
inferno	13–11	-0.01	12%	27 Jul →
anubis	13–5	0.10	15%	27 Jul →
ancient	13–4	0.03	17%	27 Jul →
dust2	13–9	-0.03	21%	27 Jul →
dust2	12–16	0.08	27%	27 Jul →
dust2	11–13	-0.06	26%	26 Jul →
dust2	13–5	0.03	18%	26 Jul →
dust2	7–13	-0.02	23%	25 Jul →
ancient	9–13	-0.03	10%	24 Jul →
dust2	13–10	0.01	26%	23 Jul →
ancient	8–13	-0.02	15%	22 Jul →
dust2	7–13	-0.06	16%	22 Jul →
dust2	13–6	-0.05	12%	22 Jul →
nuke	3–13	-0.10	10%	22 Jul →
dust2	13–8	0.03	11%	22 Jul →
ancient	13–4	-0.00	13%	22 Jul →
cache	13–6	0.01	16%	22 Jul →
nuke	13–9	-0.02	12%	20 Jul →
ancient	6–13	-0.03	18%	20 Jul →
nuke	13–4	0.04	17%	20 Jul →
dust2	5–13	-0.05	26%	20 Jul →
mirage	0–13	-0.06	0%	20 Jul →
cache	11–13	-0.04	11%	20 Jul →
dust2	6–13	-0.03	11%	20 Jul →
inferno	6–13	-0.02	20%	19 Jul →
mirage	8–13	-0.00	9%	15 Jul →
mirage	10–13	-0.06	12%	15 Jul →
cache	5–13	0.03	12%	15 Jul →
dust2	3–13	-0.07	19%	14 Jul →
mirage	9–13	-0.06	21%	14 Jul →
dust2	13–11	-0.04	18%	14 Jul →
anubis	13–16	0.03	18%	14 Jul →
dust2	14–16	0.01	26%	13 Jul →
mirage	13–7	-0.05	11%	13 Jul →
cache	9–13	-0.07	10%	13 Jul →
mirage	16–12	0.02	21%	13 Jul →
dust2	13–6	0.06	13%	13 Jul →