sky — CS2 Stats

IN76561198143921750[U:1:183656022]Steam profile ↗✓ No bans

1,034Tracked matches67%Win rate2021Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating20,401Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#20567 of 57708 tracked

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning61

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLWWLWWLWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.0

Aggression10.0

Utility4.2

Positioning6.1

Opening Duels5.5

Clutch2.8

Strong CT-side openerLimited utility dependence

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 ZywOo 88% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim8.0

Positioning6.1

Utility4.2

Mechanics6.5

Opening Duels5.5

Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time605ms−10ms

first ⅓ avg 614ms → last ⅓ avg 605ms

Headshot accuracy28.3%+4.4%

first ⅓ avg 23.9% → last ⅓ avg 28.3%

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

0.18Best rating — ancient 13–4

13–2Biggest win — ancient

10Longest win streak

12–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 64% over 22mirageWeakest map · 43% over 23

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	0.01
ancient	A	22	14–8	64%	0.05
dust2	B	20	10–10	50%	0.03
inferno	A	19	11–8	58%	0.03
anubis	A	7	4–3	57%	0.01
nuke	—	4	2–2	50%	0.02
overpass	—	3	1–2	33%	0.04
cache	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

296Matches

52%Win rate

1.17Avg K/D

89.2ADR

55%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	78	47%	1.13	17.9
Ancient	40	58%	1.31	20.0
Anubis	38	58%	1.09	17.5
Inferno	37	57%	1.25	19.1
Dust2	27	56%	1.04	18.4
Nuke	11	36%	1.08	17.3
Vertigo	7	43%	1.11	18.6
Overpass	7	43%	1.22	17.4

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.

27.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.3%Spray accuracy

79.4%Counter-strafing

9.8°Preaim

602msReaction time

41.9%T opening success

62.3%CT opening success

0.41Enemies flashed / flash

11.9%Flash assists

9.01HE damage / grenade

3.25Flashes / 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 0.4095 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	0.12	43%	30 Aug →
mirage	11–13	0.06	18%	30 Aug →
mirage	16–13	0.05	24%	30 Aug →
ancient	13–3	-0.05	35%	30 Aug →
mirage	4–6	0.05	35%	23 Aug →
inferno	13–11	0.08	43%	23 Aug →
ancient	13–2	0.13	38%	23 Aug →
cache	3–13	0.00	24%	23 Aug →
dust2	13–7	0.06	20%	23 Aug →
ancient	13–8	0.08	21%	11 Aug →
mirage	13–4	-0.01	13%	11 Aug →
ancient	13–11	0.02	19%	11 Aug →
ancient	13–2	0.12	10%	2 Aug →
dust2	13–8	0.10	28%	2 Aug →
inferno	13–5	0.06	43%	2 Aug →
ancient	13–11	0.03	25%	2 Aug →
mirage	13–8	0.04	24%	2 Aug →
dust2	13–7	0.12	46%	2 Aug →
inferno	5–13	0.02	37%	26 Jul →
mirage	13–10	0.11	34%	26 Jul →
ancient	5–13	0.14	25%	26 Jul →
dust2	13–5	0.03	28%	26 Jul →
anubis	9–13	-0.09	9%	25 Jul →
cache	13–5	-0.00	28%	12 Jul →
mirage	1–13	-0.06	28%	12 Jul →
mirage	5–13	0.01	29%	12 Jul →
ancient	13–11	0.04	29%	5 Jul →
dust2	4–13	0.03	28%	5 Jul →
dust2	1–13	-0.01	31%	28 Jun →
inferno	13–6	0.10	24%	28 Jun →
ancient	13–5	0.05	29%	28 Jun →
dust2	5–13	0.12	38%	28 Jun →
dust2	14–16	-0.03	31%	21 Jun →
inferno	13–9	0.06	16%	21 Jun →
inferno	4–13	-0.04	33%	21 Jun →
mirage	13–6	0.05	19%	21 Jun →
mirage	11–13	0.05	21%	21 Jun →
inferno	16–14	0.04	21%	19 Jun →
anubis	13–9	-0.04	20%	19 Jun →
mirage	1–13	-0.06	0%	16 Jun →
inferno	13–8	0.00	18%	16 Jun →
nuke	0–13	-0.03	50%	16 Jun →
nuke	13–3	0.07	22%	16 Jun →
mirage	2–13	-0.03	3%	14 Jun →
inferno	8–13	0.05	14%	14 Jun →
dust2	13–11	0.01	29%	4 Jun →
mirage	2–13	-0.08	17%	4 Jun →
mirage	4–2	0.02	29%	29 May →
inferno	13–11	-0.03	15%	29 May →
mirage	9–13	0.03	31%	25 May →
dust2	13–4	0.07	21%	25 May →
mirage	13–10	0.03	23%	24 May →
ancient	13–2	0.05	25%	24 May →
inferno	7–13	-0.05	33%	24 May →
ancient	15–15	-0.00	28%	17 May →
inferno	3–13	-0.04	33%	17 May →
ancient	13–4	0.18	26%	17 May →
overpass	10–13	0.03	27%	17 May →
dust2	13–6	0.01	17%	17 May →
ancient	4–0	0.06	0%	16 May →
anubis	0–4	-0.05	75%	16 May →
dust2	13–4	0.01	15%	16 May →
inferno	10–13	0.04	23%	3 May →
dust2	3–13	-0.05	12%	3 May →
anubis	13–8	0.10	28%	3 May →
mirage	3–13	-0.02	20%	3 May →
ancient	7–13	-0.02	25%	26 Apr →
overpass	10–13	0.06	28%	26 Apr →
ancient	7–13	0.04	22%	26 Apr →
inferno	13–11	0.09	34%	19 Apr →
nuke	13–8	0.05	31%	19 Apr →
ancient	3–13	-0.01	37%	19 Apr →
dust2	13–10	-0.01	19%	19 Apr →
ancient	4–13	-0.01	30%	19 Apr →
dust2	11–13	-0.01	29%	12 Apr →
ancient	13–3	0.02	14%	12 Apr →
dust2	9–13	-0.01	26%	12 Apr →
dust2	10–13	0.01	19%	12 Apr →
ancient	13–3	0.13	31%	12 Apr →
mirage	13–9	0.02	22%	5 Apr →
ancient	13–11	0.14	35%	5 Apr →
dust2	14–16	0.06	39%	5 Apr →
mirage	13–8	0.04	25%	5 Apr →
inferno	10–13	0.01	31%	5 Apr →
anubis	13–7	-0.03	8%	3 Apr →
nuke	5–13	-0.01	20%	2 Apr →
inferno	0–5	-0.06	29%	22 Mar →
mirage	10–13	-0.03	31%	22 Mar →
dust2	13–9	0.04	26%	22 Mar →
anubis	10–13	0.10	28%	22 Mar →
ancient	10–13	0.04	27%	22 Mar →
inferno	13–11	0.02	15%	22 Mar →
ancient	7–13	-0.04	14%	22 Mar →
overpass	13–4	0.02	19%	22 Mar →
anubis	13–11	0.08	24%	22 Mar →
dust2	10–13	0.00	15%	22 Mar →
inferno	13–5	0.02	17%	22 Mar →
mirage	13–7	0.03	15%	22 Mar →
mirage	5–13	-0.08	13%	22 Mar →
mirage	6–13	-0.03	20%	15 Mar →