XenonSwift — CS2 Stats

76561198084276705[U:1:124010977]

663Tracked matches47%Win rate2020Tracked since

CSDB Rating3.8 Learning

Premier CS Rating13,497Blue band · top ~36.4% of ranked players (population est.)

CSDB Leaderboard#19252 of 28805 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim46

Positioning42

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLLWLWWLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim4.6

Aggression2.3

Utility3.8

Positioning4.2

Opening Duels0.5

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 74% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning4.2

Utility3.8

Mechanics4.4

Opening Duels1.4

Win Impact3.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time656ms−40ms

first ⅓ avg 697ms → last ⅓ avg 656ms

Headshot accuracy14.1%−0.6%

first ⅓ avg 14.8% → last ⅓ avg 14.1%

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 — cache 9–2

13–2Biggest win — nuke

4Longest win streak

13–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 56% over 9nukeWeakest map · 43% over 23

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	24	11–13	46%	-0.02
nuke	C	23	10–13	43%	-0.03
ancient	B	15	7–8	47%	-0.04
anubis	B	13	6–7	46%	-0.03
mirage	B	11	5–6	45%	-0.03
overpass	A	9	5–4	56%	-0.04
inferno	—	4	1–3	25%	-0.05
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

25%Win rate

1.05Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	100%	1.82	16.5
Anubis	1	0%	0.60	9.0
Ancient	1	0%	1.00	15.0
Overpass	1	0%	1.16	22.0
Dust2	1	0%	0.80	12.0
Inferno	1	0%	1.00	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.

13.7%Headshot accuracy

33.5%Accuracy (enemy spotted)

40.3%Spray accuracy

69.7%Counter-strafing

11.1°Preaim

657msReaction time

22.5%T opening success

41.2%CT opening success

0.52Enemies flashed / flash

9.2%Flash assists

3.76HE damage / grenade

2.76Flashes / 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.

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 13.6805% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7586 — below the 4 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 22.5397% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	-0.03	13%	22 Aug →
nuke	5–13	-0.08	13%	22 Aug →
ancient	8–13	-0.09	13%	15 Aug →
nuke	13–2	0.09	21%	15 Aug →
nuke	7–13	-0.06	10%	15 Aug →
cache	13–11	0.01	17%	15 Aug →
ancient	13–7	-0.02	15%	15 Aug →
cache	8–13	-0.03	13%	15 Aug →
anubis	7–13	-0.08	19%	13 Aug →
nuke	13–9	-0.03	9%	13 Aug →
cache	11–13	0.01	16%	13 Aug →
ancient	10–13	-0.09	20%	12 Aug →
nuke	7–13	-0.04	14%	12 Aug →
ancient	4–13	-0.05	11%	4 Aug →
cache	13–11	0.01	11%	4 Aug →
cache	13–11	-0.02	13%	1 Aug →
ancient	9–13	-0.02	14%	1 Aug →
anubis	13–4	0.02	6%	1 Aug →
nuke	7–13	-0.03	17%	23 Jul →
anubis	13–11	-0.06	15%	18 Jul →
anubis	10–13	-0.05	9%	16 Jul →
mirage	5–13	-0.08	8%	16 Jul →
nuke	13–7	-0.06	13%	16 Jul →
anubis	13–9	-0.01	13%	15 Jul →
ancient	13–11	-0.04	13%	15 Jul →
anubis	9–13	-0.01	13%	13 Jul →
nuke	2–13	-0.03	23%	13 Jul →
cache	13–6	-0.00	20%	13 Jul →
cache	9–2	0.10	9%	10 Jul →
nuke	10–13	-0.04	10%	10 Jul →
anubis	7–13	-0.04	27%	10 Jul →
ancient	13–9	-0.06	20%	9 Jul →
nuke	13–11	-0.02	9%	9 Jul →
cache	13–8	-0.01	27%	9 Jul →
nuke	5–13	-0.06	11%	9 Jul →
mirage	13–11	0.05	26%	27 Jun →
overpass	12–12	-0.01	9%	27 Jun →
nuke	5–13	-0.11	23%	27 Jun →
anubis	10–13	-0.04	10%	23 Jun →
anubis	4–13	-0.01	13%	23 Jun →
ancient	7–13	-0.04	16%	22 Jun →
nuke	7–13	-0.00	14%	22 Jun →
overpass	11–4	-0.07	16%	22 Jun →
nuke	13–9	-0.01	14%	22 Jun →
cache	12–12	-0.06	11%	20 Jun →
ancient	13–3	-0.02	18%	20 Jun →
mirage	9–13	-0.03	14%	19 Jun →
overpass	8–13	-0.08	5%	19 Jun →
ancient	12–16	-0.06	11%	18 Jun →
overpass	11–13	-0.04	4%	18 Jun →
nuke	9–13	-0.09	6%	9 Jun →
ancient	11–13	-0.05	7%	8 Jun →
anubis	13–10	-0.07	7%	8 Jun →
nuke	7–13	-0.02	9%	8 Jun →
overpass	13–9	-0.04	15%	7 Jun →
nuke	16–13	-0.05	8%	5 Jun →
ancient	13–7	0.02	17%	5 Jun →
nuke	10–13	-0.07	9%	3 Jun →
mirage	2–13	-0.07	29%	3 Jun →
overpass	13–11	-0.01	18%	3 Jun →
nuke	13–10	-0.04	12%	31 May →
mirage	4–13	-0.04	9%	31 May →
vertigo	10–13	-0.06	9%	31 May →
overpass	8–13	-0.06	16%	29 May →
ancient	13–8	-0.04	16%	29 May →
mirage	13–7	-0.01	14%	28 May →
nuke	13–11	0.07	12%	28 May →
ancient	9–13	-0.03	9%	28 May →
overpass	13–6	-0.06	19%	28 May →
cache	6–13	-0.07	8%	28 May →
inferno	11–13	-0.04	10%	23 May →
anubis	13–4	0.06	12%	23 May →
cache	3–13	-0.03	13%	23 May →
mirage	2–13	-0.10	25%	18 May →
mirage	13–10	-0.02	11%	18 May →
cache	8–13	-0.09	10%	18 May →
inferno	3–12	-0.08	11%	16 May →
cache	10–13	-0.03	8%	16 May →
cache	13–5	-0.10	5%	13 May →
cache	13–4	-0.09	27%	12 May →
cache	10–13	0.06	13%	12 May →
cache	7–13	-0.04	13%	12 May →
cache	13–10	0.02	16%	7 May →
cache	2–13	-0.06	20%	7 May →
cache	13–6	-0.07	13%	1 May →
cache	6–13	-0.03	15%	1 May →
cache	12–12	-0.03	9%	1 May →
cache	13–9	-0.00	8%	29 Apr →
cache	10–13	-0.02	12%	29 Apr →
anubis	4–13	-0.06	9%	24 Apr →
nuke	13–11	0.00	8%	22 Apr →
inferno	13–8	0.01	24%	22 Apr →
mirage	16–14	-0.02	15%	17 Apr →
anubis	13–11	-0.05	24%	12 Apr →
mirage	11–13	0.02	15%	12 Apr →
nuke	5–13	-0.03	20%	8 Apr →
mirage	13–11	-0.02	23%	8 Apr →
inferno	4–13	-0.08	26%	8 Apr →
nuke	13–9	-0.05	22%	4 Apr →
overpass	13–5	0.03	17%	4 Apr →