skypiiMONSTARRR — CS2 Stats

76561198060648583[U:1:100382855]Steam profile ↗✓ No bans

2,634Tracked matches47%Win rate2020Tracked since

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#12492 of 30293 tracked

FaceitLevel 9 · 1,681 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning46

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWLWWWWL

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

Player DNA

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

Aim7.9

Aggression3.6

Utility6.2

Positioning4.6

Opening Duels0.8

Clutch2.6

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 NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim7.9

Positioning4.6

Utility6.2

Mechanics7.4

Opening Duels1.7

Win Impact3.9

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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time568ms−71ms

first ⅓ avg 639ms → last ⅓ avg 568ms

Headshot accuracy21.0%−1.2%

first ⅓ avg 22.2% → last ⅓ avg 21.0%

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

0.11Best rating — dust2 13–0

13–0Biggest win — dust2

5Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

anubisBest map · 67% over 9dust2Weakest map · 27% over 22

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	24	11–13	46%	-0.00
inferno	B	23	11–12	48%	0.00
dust2	D	22	6–16	27%	-0.02
cache	D	15	5–10	33%	-0.01
anubis	S	9	6–3	67%	-0.02
nuke	A	5	3–2	60%	0.04
mirage	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,587Matches

51%Win rate

1.06Avg K/D

76.4ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	95	51%	1.02	15.1
Ancient	85	48%	0.98	15.1
Anubis	78	44%	1.05	15.9
Dust2	66	52%	1.00	14.4
Mirage	56	55%	1.04	15.9
Nuke	29	55%	1.10	15.5
Cache	20	40%	0.84	15.7
Overpass	7	71%	1.01	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.

21.0%Headshot accuracy

34.2%Accuracy (enemy spotted)

36.3%Spray accuracy

83.3%Counter-strafing

8.3°Preaim

570msReaction time

22.9%T opening success

43.3%CT opening success

0.65Enemies flashed / flash

7.4%Flash assists

12.87HE damage / grenade

8.07Flashes / 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 22.9129% — below the 40% mark we flag

Spend your practice time on Dust 2

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 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	-0.03	21%	28 Aug →
inferno	10–13	-0.03	30%	25 Aug →
dust2	13–4	-0.01	17%	25 Aug →
dust2	13–0	0.11	30%	25 Aug →
dust2	1–13	-0.09	25%	24 Aug →
ancient	13–10	0.04	21%	24 Aug →
nuke	13–3	0.07	30%	24 Aug →
anubis	13–11	-0.02	25%	24 Aug →
dust2	13–4	0.03	13%	24 Aug →
inferno	6–13	-0.04	23%	23 Aug →
ancient	4–13	0.00	20%	21 Aug →
inferno	13–1	0.03	28%	21 Aug →
cache	21–25	0.01	16%	20 Aug →
cache	7–13	-0.03	13%	20 Aug →
cache	13–4	0.07	19%	20 Aug →
dust2	10–13	-0.04	25%	20 Aug →
ancient	13–11	0.00	36%	15 Aug →
inferno	13–9	0.00	18%	14 Aug →
nuke	9–13	0.07	25%	14 Aug →
dust2	7–13	-0.04	31%	14 Aug →
cache	3–13	-0.07	6%	14 Aug →
ancient	13–16	-0.05	17%	11 Aug →
ancient	13–11	0.01	14%	10 Aug →
nuke	13–7	-0.01	14%	9 Aug →
cache	14–16	-0.06	18%	9 Aug →
ancient	10–13	-0.01	18%	9 Aug →
mirage	13–10	0.01	17%	9 Aug →
dust2	5–13	-0.07	22%	9 Aug →
dust2	5–13	-0.05	30%	8 Aug →
mirage	13–3	0.06	17%	8 Aug →
inferno	13–8	-0.01	28%	8 Aug →
dust2	14–16	-0.00	11%	8 Aug →
ancient	13–7	0.03	16%	7 Aug →
inferno	13–10	0.04	14%	7 Aug →
dust2	13–6	-0.04	12%	7 Aug →
dust2	10–13	-0.05	16%	7 Aug →
ancient	9–13	-0.03	16%	7 Aug →
ancient	9–13	-0.06	32%	6 Aug →
ancient	8–13	-0.02	33%	6 Aug →
inferno	13–16	0.06	18%	6 Aug →
inferno	4–13	-0.01	23%	5 Aug →
cache	6–13	-0.05	14%	5 Aug →
ancient	6–13	-0.00	24%	4 Aug →
nuke	13–2	0.10	26%	4 Aug →
inferno	13–11	0.01	15%	4 Aug →
dust2	13–11	-0.01	28%	4 Aug →
ancient	13–11	0.04	30%	4 Aug →
inferno	13–9	0.02	19%	4 Aug →
ancient	11–13	-0.04	19%	3 Aug →
dust2	8–13	0.00	14%	3 Aug →
ancient	13–11	0.01	20%	3 Aug →
dust2	3–6	0.00	0%	31 Jul →
dust2	12–12	-0.00	15%	31 Jul →
inferno	14–16	-0.02	20%	28 Jul →
dust2	8–13	-0.03	26%	28 Jul →
anubis	13–6	-0.04	28%	28 Jul →
ancient	13–8	-0.02	21%	27 Jul →
cache	8–13	-0.01	26%	27 Jul →
inferno	10–13	0.02	33%	27 Jul →
ancient	13–5	0.07	19%	27 Jul →
inferno	16–14	-0.02	24%	26 Jul →
cache	13–5	0.01	11%	26 Jul →
anubis	13–6	-0.01	24%	25 Jul →
dust2	8–13	-0.04	17%	25 Jul →
inferno	13–6	0.02	28%	25 Jul →
inferno	15–15	-0.05	24%	24 Jul →
dust2	8–13	-0.04	32%	24 Jul →
dust2	18–22	-0.01	12%	24 Jul →
dust2	13–3	0.03	23%	24 Jul →
ancient	13–8	0.00	20%	24 Jul →
inferno	13–7	-0.02	13%	24 Jul →
cache	14–16	0.03	28%	23 Jul →
cache	16–13	-0.02	16%	23 Jul →
inferno	13–6	-0.04	22%	23 Jul →
dust2	13–16	-0.03	24%	23 Jul →
anubis	10–13	-0.03	26%	22 Jul →
ancient	9–13	0.01	30%	22 Jul →
inferno	7–13	-0.00	38%	22 Jul →
anubis	13–8	0.03	40%	22 Jul →
cache	15–15	0.07	22%	22 Jul →
ancient	9–13	0.00	17%	22 Jul →
ancient	8–13	-0.06	39%	20 Jul →
inferno	14–16	-0.03	15%	20 Jul →
inferno	13–4	0.10	26%	20 Jul →
inferno	10–13	-0.00	35%	20 Jul →
nuke	8–13	-0.01	16%	20 Jul →
inferno	7–13	0.05	20%	20 Jul →
cache	6–13	0.00	28%	20 Jul →
anubis	13–9	-0.01	18%	19 Jul →
ancient	13–3	0.08	18%	19 Jul →
ancient	5–13	-0.06	9%	19 Jul →
anubis	15–15	0.02	23%	18 Jul →
cache	7–13	-0.06	36%	18 Jul →
ancient	13–3	0.10	25%	18 Jul →
anubis	13–9	-0.04	17%	17 Jul →
dust2	6–13	-0.01	20%	17 Jul →
cache	13–11	-0.03	10%	17 Jul →
anubis	12–16	-0.04	17%	17 Jul →
cache	13–10	0.07	17%	17 Jul →
ancient	8–13	-0.08	14%	17 Jul →