Skymst. — CS2 Stats

PT76561198079835897[U:1:119570169]Steam profile ↗✓ No bans

940Tracked matches31%Win rate2020Tracked since

2,843Hours in CS

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 10 · 2,340 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	41.0%	52.8%
Shot accuracy	18.5%	13.7%
Kill/death ratio	1.08	1.08
Match win rate	24.1%	49.2%

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Performance scores

Aim86

Positioning58

Utility34

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLLLLWLLWW

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

Player DNA

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

Aim8.6

Aggression7.6

Utility3.4

Positioning5.8

Opening Duels3.0

Clutch3.0

Sharp aimerExcellent counter-strafingStrong 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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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 55% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.6

Positioning5.8

Utility3.4

Mechanics8.4

Opening Duels3.2

Win Impact0.0

Composite 5.8/10 (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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time570ms−19ms

first ⅓ avg 589ms → last ⅓ avg 570ms

Headshot accuracy18.7%+0.6%

first ⅓ avg 18.1% → last ⅓ avg 18.7%

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

0.13Best rating — overpass 13–6

13–1Biggest win — inferno

6Longest win streak

L5Current streak

7–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 75% over 8nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	21	6–15	29%	-0.01
inferno	C	19	8–11	42%	0.02
mirage	D	15	5–10	33%	-0.01
dust2	B	13	7–6	54%	0.01
nuke	D	11	3–8	27%	-0.01
anubis	S	8	6–2	75%	0.02
overpass	S	6	4–2	67%	0.02
train	A	5	3–2	60%	0.01
grail	—	1	1–0	100%	-0.03
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,783Lifetime kills

1.08K/D · Top 50% of Level 10 players

10,969Matches

24.1%Match win rate

41.0%Headshot %

18.5%Shot accuracy · Top 10% of Level 10 players

17,211MVPs

2,843Hours (in match)

5,454Bombs planted

1,665Bombs defused

Most-used weapons

AK-4758,125

AWP27,968

M4A4 / M4A1-S27,345

P2000 / USP-S8,245

Glock-185,364

Desert Eagle3,228

FAMAS3,217

Knife2,602

P902,251

Galil AR2,199

Lifetime map wins

11,040inferno

10,358dust2

3,574nuke

3,230train

1,587cbble

467vertigo

152office

150lake

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

Faceit stats

Combat

1,866Matches

50%Win rate

1.18Avg K/D

86.1ADR

39%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	107	47%	1.27	18.3
Mirage	107	52%	1.26	17.6
Ancient	104	54%	1.32	17.6
Dust2	67	45%	1.22	18.0
Nuke	64	53%	1.09	17.1
Anubis	39	51%	1.24	18.3
Overpass	26	73%	1.28	19.7
Train	17	41%	1.17	18.4

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.

18.5%Headshot accuracy

40.0%Accuracy (enemy spotted)

42.3%Spray accuracy

88.0%Counter-strafing

9.4°Preaim

579msReaction time

28.6%T opening success

55.4%CT opening success

0.62Enemies flashed / flash

7.9%Flash assists

7.52HE damage / grenade

5.20Flashes / 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 28.6166% — 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.

27% win rate across 11 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
dust2	7–13	0.13	27%	30 May →
ancient	7–13	-0.03	10%	17 May →
mirage	5–13	-0.07	14%	16 May →
dust2	4–13	-0.13	10%	2 May →
mirage	11–13	0.02	27%	2 May →
dust2	13–7	0.01	16%	2 May →
mirage	9–13	-0.02	28%	1 May →
overpass	5–13	-0.01	16%	30 Apr →
ancient	16–13	0.04	13%	30 Apr →
inferno	13–4	0.04	14%	25 Apr →
mirage	6–13	-0.08	7%	21 Feb →
nuke	4–13	-0.01	23%	26 Oct →
nuke	4–12	-0.00	15%	22 Oct →
train	11–13	-0.03	20%	15 Oct →
overpass	13–6	0.13	21%	14 Oct →
inferno	5–12	0.02	27%	14 Oct →
dust2	13–3	0.08	23%	14 Oct →
nuke	5–13	-0.07	26%	13 Oct →
dust2	15–15	0.01	12%	13 Oct →
inferno	17–19	-0.02	22%	25 Aug →
nuke	9–13	0.04	16%	24 Aug →
inferno	4–13	0.09	16%	23 Aug →
inferno	13–6	0.02	20%	19 Aug →
dust2	13–5	0.12	25%	23 Jun →
inferno	9–13	0.03	14%	9 Jun →
inferno	9–13	0.02	25%	30 May →
inferno	7–12	-0.06	20%	29 May →
inferno	13–5	0.03	7%	24 May →
inferno	13–11	-0.06	14%	23 May →
inferno	10–13	-0.01	23%	23 May →
train	11–0	0.07	35%	23 May →
ancient	7–13	-0.02	15%	23 May →
mirage	13–6	0.13	13%	16 May →
dust2	13–11	0.03	20%	16 May →
nuke	5–12	-0.04	17%	9 May →
grail	13–7	-0.03	8%	8 May →
ancient	9–13	-0.01	15%	7 May →
inferno	13–7	0.08	13%	26 Apr →
ancient	10–13	-0.02	17%	25 Apr →
train	13–5	0.02	19%	22 Apr →
mirage	13–10	-0.01	14%	20 Apr →
mirage	13–3	0.02	20%	17 Apr →
anubis	31–28	0.01	9%	14 Apr →
mirage	13–7	-0.03	15%	14 Apr →
dust2	13–8	-0.00	12%	5 Apr →
mirage	13–16	0.00	21%	5 Apr →
dust2	7–13	0.00	16%	5 Apr →
anubis	16–13	0.02	15%	4 Apr →
ancient	5–13	-0.04	22%	30 Mar →
ancient	4–13	-0.05	25%	29 Mar →
nuke	13–5	0.06	15%	29 Mar →
nuke	13–10	-0.06	13%	27 Mar →
ancient	13–11	0.02	7%	19 Mar →
mirage	13–7	0.04	24%	17 Mar →
mirage	6–13	-0.05	22%	12 Mar →
anubis	13–2	0.05	18%	12 Mar →
dust2	8–13	-0.01	13%	11 Mar →
dust2	13–6	-0.04	28%	11 Mar →
inferno	13–4	0.10	12%	10 Mar →
ancient	15–15	0.02	17%	10 Mar →
ancient	9–13	0.00	14%	10 Mar →
dust2	7–13	-0.05	24%	8 Mar →
anubis	13–9	-0.04	23%	5 Mar →
inferno	13–8	0.02	16%	27 Feb →
nuke	13–11	0.03	18%	13 Feb →
anubis	8–13	-0.02	10%	9 Feb →
anubis	13–6	0.10	12%	9 Feb →
dust2	13–11	-0.02	13%	24 Jan →
inferno	14–16	-0.01	10%	7 Jan →
train	7–13	-0.06	10%	20 Nov →
train	13–5	0.04	40%	14 Nov →
vertigo	11–13	-0.05	8%	14 Oct →
inferno	17–19	0.01	18%	31 Aug →
ancient	11–13	0.05	15%	29 Aug →
nuke	8–13	-0.02	28%	22 Aug →
mirage	7–13	-0.04	17%	22 Aug →
nuke	17–19	0.02	13%	10 Jun →
ancient	9–13	-0.01	9%	10 Jun →
inferno	11–13	0.01	24%	4 Jun →
anubis	10–13	0.03	29%	9 May →
anubis	13–8	0.01	18%	2 May →
inferno	13–1	0.10	20%	2 May →
overpass	8–13	-0.00	9%	4 Dec →
mirage	7–13	-0.03	17%	4 Dec →
ancient	13–7	0.02	19%	3 Dec →
mirage	10–13	0.00	18%	1 Dec →
ancient	9–13	-0.02	11%	1 Dec →
ancient	13–16	0.02	25%	1 Dec →
ancient	6–13	-0.12	16%	1 Dec →
inferno	10–13	-0.02	15%	29 Nov →
nuke	9–13	-0.08	23%	29 Nov →
overpass	13–9	-0.01	35%	29 Nov →
overpass	13–11	-0.04	25%	26 Nov →
ancient	6–13	-0.06	11%	26 Nov →
ancient	22–18	0.02	17%	24 Nov →
overpass	13–11	0.03	19%	24 Nov →
mirage	13–16	-0.00	20%	22 Nov →
ancient	13–4	0.12	19%	21 Nov →
ancient	13–10	-0.02	17%	21 Nov →
ancient	3–13	-0.05	11%	21 Nov →