-mystisk — CS2 Stats

76561198871525050[U:1:911259322]✓ No bans

3,161Tracked matches43%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating22,906Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#4487 of 16439 tracked

FaceitLevel 10 · 2,550 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning47

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLLWLLWWLLW

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

Player DNA

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

Aim7.2

Aggression4.8

Utility5.6

Positioning4.7

Opening Duels1.5

Clutch3.2

Strong CT-side openerEffective flashes

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 91% playstyle similarity

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

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 43% on CT to 28% 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

Aim7.2

Positioning4.7

Utility5.6

Mechanics5.6

Opening Duels1.7

Win Impact2.8

Composite 5.3/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time595ms+17ms

first ⅓ avg 578ms → last ⅓ avg 595ms

Headshot accuracy18.3%−0.4%

first ⅓ avg 18.8% → last ⅓ avg 18.3%

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

0.21Best rating — mirage 13–6

13–0Biggest win — mirage

7Longest win streak

L2Current streak

10–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 73% over 11anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	43	26–17	60%	0.01
anubis	B	13	6–7	46%	0.04
dust2	A	13	8–5	62%	0.01
ancient	S	11	8–3	73%	0.02
vertigo	A	11	6–5	55%	0.01
train	—	4	0–4	0%	-0.01
cache	—	2	1–1	50%	0.03
inferno	—	2	2–0	100%	-0.02
nuke	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,051Matches

52%Win rate

1.09Avg K/D

81.3ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	931	54%	1.13	16.4
Ancient	314	52%	1.06	16.3
Anubis	248	49%	1.04	16.1
Nuke	155	46%	1.04	15.8
Dust2	111	43%	1.03	15.6
Train	87	53%	1.20	16.3
Overpass	84	51%	1.03	15.5
Inferno	77	51%	0.98	15.3

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.

18.9%Headshot accuracy

34.7%Accuracy (enemy spotted)

37.9%Spray accuracy

75.0%Counter-strafing

8.6°Preaim

579msReaction time

28.3%T opening success

43.5%CT opening success

0.71Enemies flashed / flash

10.8%Flash assists

6.65HE damage / grenade

7.46Flashes / 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 28.2965% — below the 40% mark we flag

Spend your practice time on Anubis

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	0.06	22%	28 Aug →
anubis	3–13	-0.01	8%	25 Aug →
mirage	13–3	0.06	24%	18 Aug →
mirage	7–13	-0.05	11%	17 Aug →
mirage	8–13	-0.02	18%	17 Aug →
mirage	13–3	-0.05	18%	16 Aug →
ancient	13–4	-0.03	17%	15 Aug →
anubis	9–13	-0.00	26%	13 Aug →
ancient	10–13	0.04	34%	13 Aug →
anubis	13–11	0.04	23%	12 Aug →
anubis	10–13	0.05	17%	5 Aug →
ancient	13–8	-0.02	19%	4 Aug →
ancient	13–8	0.06	7%	4 Aug →
dust2	13–10	0.02	24%	4 Aug →
ancient	11–13	-0.01	23%	3 Aug →
vertigo	11–13	-0.01	16%	3 Aug →
dust2	13–8	0.09	26%	3 Aug →
mirage	6–13	-0.08	6%	3 Aug →
anubis	13–2	0.06	28%	1 Aug →
mirage	9–13	0.01	15%	31 Jul →
mirage	13–10	0.06	24%	31 Jul →
mirage	5–13	-0.01	27%	30 Jul →
mirage	7–13	-0.04	13%	29 Jul →
mirage	4–13	0.04	18%	29 Jul →
dust2	3–13	-0.01	11%	29 Jul →
dust2	9–13	-0.04	22%	29 Jul →
mirage	13–5	-0.01	28%	29 Jul →
mirage	3–13	-0.05	17%	28 Jul →
inferno	8–2	-0.04	0%	28 Jul →
ancient	13–5	-0.04	9%	28 Jul →
dust2	14–16	-0.00	22%	28 Jul →
mirage	13–0	0.02	16%	28 Jul →
anubis	13–9	0.06	17%	28 Jul →
mirage	16–14	0.01	23%	28 Jul →
mirage	13–9	0.02	14%	27 Jul →
dust2	13–11	0.05	17%	27 Jul →
mirage	13–1	0.14	13%	27 Jul →
dust2	13–5	0.03	36%	27 Jul →
anubis	7–13	0.04	20%	27 Jul →
mirage	13–10	0.03	19%	26 Jul →
ancient	5–12	0.01	16%	26 Jul →
mirage	13–8	-0.03	23%	26 Jul →
dust2	8–13	0.04	31%	26 Jul →
dust2	0–13	-0.06	0%	26 Jul →
anubis	13–10	0.08	22%	25 Jul →
mirage	13–4	0.13	25%	25 Jul →
vertigo	13–11	0.05	22%	24 Jul →
mirage	13–6	0.21	24%	24 Jul →
train	10–13	-0.01	24%	24 Jul →
mirage	13–5	0.06	18%	23 Jul →
ancient	13–7	0.06	25%	23 Jul →
dust2	13–8	0.05	16%	23 Jul →
vertigo	11–13	-0.00	16%	23 Jul →
mirage	13–7	-0.00	21%	23 Jul →
anubis	16–14	0.04	10%	23 Jul →
vertigo	6–13	-0.07	21%	22 Jul →
mirage	13–11	-0.02	13%	22 Jul →
mirage	7–13	-0.04	23%	21 Jul →
vertigo	11–13	-0.05	21%	21 Jul →
vertigo	13–10	0.06	13%	21 Jul →
ancient	13–7	0.02	23%	21 Jul →
mirage	13–16	-0.03	15%	20 Jul →
mirage	2–13	-0.00	25%	20 Jul →
vertigo	13–16	0.01	21%	17 Jul →
mirage	13–7	-0.05	33%	17 Jul →
mirage	19–16	0.01	12%	16 Jul →
train	6–13	-0.06	24%	16 Jul →
vertigo	13–4	0.02	13%	15 Jul →
mirage	16–14	-0.04	12%	15 Jul →
mirage	13–11	-0.01	13%	13 Jul →
ancient	13–10	0.07	20%	13 Jul →
mirage	13–10	0.02	15%	12 Jul →
vertigo	13–5	-0.01	17%	9 Jul →
mirage	13–10	0.02	15%	9 Jul →
mirage	5–13	-0.04	17%	8 Jul →
mirage	6–13	0.03	16%	8 Jul →
cache	13–10	0.01	8%	7 Jul →
anubis	11–13	0.01	12%	7 Jul →
anubis	10–13	0.07	13%	5 Jul →
mirage	14–16	-0.02	15%	4 Jul →
anubis	11–13	0.02	23%	4 Jul →
dust2	19–17	0.04	21%	3 Jul →
dust2	13–10	-0.05	23%	2 Jul →
vertigo	13–10	0.03	21%	2 Jul →
mirage	19–17	0.02	24%	2 Jul →
mirage	10–13	0.02	24%	2 Jul →
mirage	13–4	0.09	23%	2 Jul →
train	11–13	0.00	19%	2 Jul →
inferno	13–8	-0.00	21%	1 Jul →
nuke	11–13	0.02	32%	1 Jul →
dust2	13–8	0.00	12%	30 Jun →
mirage	14–16	0.01	16%	29 Jun →
mirage	9–13	0.01	25%	29 Jun →
mirage	13–4	0.06	21%	29 Jun →
ancient	13–5	0.03	5%	29 Jun →
train	17–19	0.04	32%	27 Jun →
anubis	19–15	0.05	21%	26 Jun →
mirage	13–8	-0.01	20%	26 Jun →
vertigo	13–8	0.05	26%	26 Jun →
mirage	13–9	0.06	24%	26 Jun →