sky — CS2 Stats

76561198121241825[U:1:160976097]

2,107Tracked matches53%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 10 · 2,329 ELOTop 12.4% of ranked FACEIT players

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

Aim72

Positioning52

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLLLWWLWLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim7.2

Aggression6.3

Utility6.9

Positioning5.2

Opening Duels3.0

Clutch3.8

Strong CT-side opener

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 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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim7.2

Positioning5.2

Utility6.9

Mechanics5.0

Opening Duels3.0

Win Impact6.1

Composite 5.9/10 (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 0.03 → last ⅓ avg 0.01

Reaction time559ms−42ms

first ⅓ avg 602ms → last ⅓ avg 559ms

Headshot accuracy28.9%+1.6%

first ⅓ avg 27.4% → last ⅓ avg 28.9%

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

0.23Best rating — dust2 13–3

13–0Biggest win — dust2

5Longest win streak

4–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 81% over 16nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	0.03
ancient	S	16	13–3	81%	0.04
inferno	D	15	5–10	33%	-0.01
mirage	D	15	5–10	33%	0.01
anubis	A	11	6–5	55%	0.01
nuke	D	10	2–8	20%	0.01
overpass	B	6	3–3	50%	0.03
cache	C	5	2–3	40%	0.01
eldorado	—	1	0–1	0%	-0.07
vertigo	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,014Matches

52%Win rate

1.14Avg K/D

83.8ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	201	52%	1.13	17.1
Anubis	187	55%	1.20	17.4
Mirage	176	48%	1.08	16.7
Dust2	119	50%	1.15	16.3
Nuke	70	47%	0.99	15.3
Inferno	61	46%	1.25	17.0
Vertigo	52	52%	1.19	17.5
Overpass	46	52%	1.09	16.7

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.

27.8%Headshot accuracy

31.9%Accuracy (enemy spotted)

35.9%Spray accuracy

72.3%Counter-strafing

10.9°Preaim

552msReaction time

30.5%T opening success

53.3%CT opening success

0.63Enemies flashed / flash

10.8%Flash assists

10.69HE damage / grenade

11.71Flashes / 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 30.4515% — 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.

20% win rate across 10 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
anubis	13–10	-0.02	22%	25 Aug →
nuke	6–13	-0.07	28%	24 Aug →
ancient	11–13	0.01	30%	20 Aug →
eldorado	2–9	-0.07	36%	19 Aug →
inferno	13–9	0.02	24%	18 Aug →
cache	13–11	-0.02	17%	18 Aug →
nuke	10–13	0.04	30%	17 Aug →
dust2	13–8	-0.01	32%	10 Aug →
nuke	10–13	-0.07	20%	9 Aug →
ancient	13–2	0.13	33%	9 Aug →
anubis	6–13	-0.03	14%	9 Aug →
dust2	13–2	0.02	29%	9 Aug →
dust2	13–2	0.03	29%	9 Aug →
anubis	9–13	0.01	40%	9 Aug →
ancient	13–4	0.03	22%	8 Aug →
ancient	13–4	0.06	29%	8 Aug →
anubis	13–5	0.07	38%	8 Aug →
anubis	5–13	-0.06	27%	8 Aug →
dust2	13–0	0.07	22%	8 Aug →
inferno	8–13	-0.01	26%	4 Aug →
ancient	13–5	0.15	33%	4 Aug →
mirage	13–16	0.01	31%	30 Jul →
anubis	4–13	-0.03	33%	30 Jul →
ancient	13–8	-0.05	28%	30 Jul →
mirage	6–13	-0.06	27%	30 Jul →
cache	13–2	0.06	14%	29 Jul →
cache	9–13	-0.00	32%	27 Jul →
ancient	13–4	0.17	30%	27 Jul →
mirage	13–5	0.04	20%	27 Jul →
dust2	2–13	-0.07	71%	11 Jul →
ancient	5–13	-0.03	24%	7 Jul →
dust2	11–13	-0.07	30%	1 Jul →
inferno	5–13	-0.08	33%	30 Jun →
overpass	8–13	-0.00	38%	29 Jun →
dust2	13–8	0.09	15%	29 Jun →
ancient	6–13	-0.07	16%	29 Jun →
nuke	13–6	0.01	29%	29 Jun →
nuke	8–8	0.05	30%	29 Jun →
inferno	9–4	0.04	43%	29 Jun →
inferno	6–13	-0.04	32%	25 Jun →
overpass	13–5	0.07	30%	25 Jun →
dust2	1–7	-0.03	33%	25 Jun →
anubis	13–10	0.07	25%	25 Jun →
inferno	13–11	0.02	27%	24 Jun →
dust2	13–10	0.09	34%	24 Jun →
overpass	13–10	0.07	38%	23 Jun →
overpass	13–2	0.06	30%	23 Jun →
dust2	7–13	0.01	23%	22 Jun →
mirage	6–13	-0.02	18%	22 Jun →
anubis	6–13	0.00	19%	22 Jun →
inferno	8–8	-0.06	23%	18 Jun →
ancient	13–10	0.01	35%	13 Jun →
dust2	13–6	0.02	33%	13 Jun →
ancient	13–9	0.04	21%	8 Jun →
inferno	5–13	0.04	43%	7 Jun →
mirage	16–12	0.05	24%	7 Jun →
inferno	6–13	-0.05	21%	7 Jun →
ancient	13–8	-0.05	18%	7 Jun →
nuke	7–13	-0.03	32%	7 Jun →
inferno	16–14	0.01	28%	2 Jun →
inferno	8–13	-0.06	18%	1 Jun →
mirage	13–5	0.03	27%	1 Jun →
dust2	6–13	-0.00	42%	1 Jun →
ancient	13–6	0.08	34%	1 Jun →
mirage	5–13	-0.02	14%	31 May →
mirage	13–10	0.04	41%	31 May →
nuke	6–13	0.03	26%	24 May →
dust2	13–3	0.03	44%	24 May →
dust2	10–13	0.01	23%	15 May →
nuke	8–8	-0.04	30%	15 May →
cache	6–13	0.08	43%	15 May →
mirage	7–13	-0.04	17%	15 May →
cache	8–13	-0.05	33%	14 May →
dust2	3–11	0.04	44%	10 May →
mirage	7–13	0.01	26%	10 May →
inferno	13–16	0.00	36%	10 May →
anubis	13–9	0.03	24%	10 May →
mirage	10–13	0.04	32%	10 May →
mirage	13–6	0.03	35%	7 May →
inferno	13–7	0.08	31%	4 May →
overpass	9–13	0.03	19%	2 May →
anubis	13–10	0.09	26%	28 Apr →
inferno	5–13	-0.06	27%	28 Apr →
mirage	14–16	-0.03	13%	26 Apr →
dust2	9–13	-0.07	19%	26 Apr →
inferno	11–13	0.02	21%	12 Apr →
ancient	13–9	0.04	26%	15 Mar →
dust2	13–3	0.23	13%	9 Mar →
vertigo	13–9	-0.01	38%	9 Mar →
mirage	12–12	0.06	30%	9 Mar →
dust2	6–2	0.14	21%	9 Mar →
overpass	8–13	-0.03	26%	1 Mar →
dust2	13–2	0.04	29%	1 Mar →
anubis	13–8	0.02	17%	28 Feb →
dust2	13–11	0.10	28%	25 Feb →
ancient	13–10	0.05	27%	24 Feb →
nuke	5–13	0.05	32%	24 Feb →
nuke	13–6	0.11	22%	17 Feb →
mirage	15–19	-0.04	20%	16 Feb →
ancient	13–5	0.11	30%	16 Feb →