MRFY — CS2 Stats

76561199886168947[U:1:1925903219]Steam profile ↗✓ No bans

276Tracked matches37%Win rate2025Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating17,594Purple band · top ~18.1% of ranked players (population est.)

CSDB Leaderboard#26810 of 53221 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning60

Utility51

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateWLLWLLLLLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.1

Aggression8.0

Utility5.1

Positioning6.0

Opening Duels3.6

Clutch4.4

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 ropz 90% playstyle similarity

Most alike: positioning profile, 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 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim7.1

Positioning6.0

Utility5.1

Mechanics7.4

Opening Duels3.6

Win Impact0.6

Composite 5.6/10 (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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time612ms+29ms

first ⅓ avg 583ms → last ⅓ avg 612ms

Headshot accuracy14.8%−1.9%

first ⅓ avg 16.7% → last ⅓ avg 14.8%

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

0.15Best rating — anubis 13–6

13–1Biggest win — anubis

9Longest win streak

10–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 18mirageWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	11–12	48%	0.01
mirage	C	19	8–11	42%	-0.00
ancient	A	18	11–7	61%	0.02
anubis	S	18	12–6	67%	0.03
inferno	B	12	6–6	50%	0.01
cache	B	6	3–3	50%	-0.02
vertigo	—	2	0–2	0%	0.00
nuke	—	1	0–1	0%	0.08
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

185Matches

55%Win rate

1.22Avg K/D

85.3ADR

44%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	52	54%	1.17	18.0
Dust2	43	53%	1.26	17.6
Anubis	29	52%	1.10	16.2
Inferno	27	59%	1.26	17.0
Mirage	17	47%	1.20	16.1
Overpass	6	83%	1.39	16.2
Nuke	5	40%	1.50	18.0
Cache	4	75%	1.54	17.8

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.

15.0%Headshot accuracy

37.8%Accuracy (enemy spotted)

35.6%Spray accuracy

83.1%Counter-strafing

9.6°Preaim

608msReaction time

35.7%T opening success

52.8%CT opening success

0.54Enemies flashed / flash

4.2%Flash assists

8.55HE damage / grenade

11.55Flashes / 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 35.6952% — below the 40% mark we flag

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.

42% win rate across 19 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
cache	13–5	0.06	14%	28 Aug →
vertigo	4–13	-0.02	7%	21 Aug →
ancient	10–13	-0.04	17%	20 Aug →
anubis	13–10	-0.01	11%	20 Aug →
mirage	8–13	-0.04	17%	20 Aug →
mirage	11–13	-0.01	22%	20 Aug →
dust2	11–13	0.04	12%	17 Aug →
dust2	3–13	0.01	16%	15 Aug →
dust2	4–13	-0.01	23%	13 Aug →
ancient	1–13	-0.07	16%	13 Aug →
anubis	6–13	0.01	15%	12 Aug →
mirage	16–14	0.01	21%	12 Aug →
dust2	19–16	0.03	12%	11 Aug →
dust2	3–13	0.01	5%	11 Aug →
ancient	11–13	-0.02	17%	11 Aug →
anubis	12–16	-0.06	18%	6 Aug →
anubis	13–7	0.01	17%	6 Aug →
ancient	11–13	-0.01	17%	6 Aug →
cache	13–11	-0.01	9%	5 Aug →
ancient	13–9	-0.05	9%	5 Aug →
anubis	4–13	-0.02	16%	5 Aug →
dust2	10–13	0.04	12%	5 Aug →
mirage	13–11	-0.04	12%	3 Aug →
mirage	1–13	-0.09	13%	3 Aug →
mirage	4–13	-0.01	11%	3 Aug →
mirage	2–13	-0.02	10%	3 Aug →
vertigo	8–13	0.03	15%	3 Aug →
inferno	13–11	-0.04	21%	2 Aug →
ancient	13–6	-0.00	17%	2 Aug →
dust2	13–9	-0.01	23%	31 Jul →
dust2	13–4	0.12	16%	30 Jul →
ancient	13–6	0.07	17%	30 Jul →
dust2	4–13	-0.02	10%	30 Jul →
ancient	13–10	0.06	14%	30 Jul →
ancient	5–13	0.12	17%	29 Jul →
dust2	13–5	0.08	11%	28 Jul →
cache	13–8	0.03	13%	28 Jul →
dust2	8–13	0.01	20%	25 Jul →
mirage	13–4	0.05	18%	23 Jul →
cache	12–12	-0.09	15%	23 Jul →
inferno	4–13	-0.01	12%	23 Jul →
inferno	13–10	-0.01	23%	23 Jul →
dust2	13–5	-0.00	29%	23 Jul →
dust2	13–6	0.02	25%	22 Jul →
anubis	13–1	0.02	8%	22 Jul →
mirage	13–11	0.01	17%	22 Jul →
mirage	13–9	0.03	18%	20 Jul →
anubis	13–11	0.03	6%	19 Jul →
mirage	13–5	0.01	18%	19 Jul →
anubis	13–6	0.01	6%	17 Jul →
inferno	14–16	0.03	15%	16 Jul →
nuke	13–16	0.08	14%	16 Jul →
anubis	1–7	-0.05	5%	16 Jul →
inferno	13–9	0.04	13%	16 Jul →
ancient	13–8	0.02	8%	13 Jul →
inferno	5–13	-0.01	15%	13 Jul →
dust2	13–11	0.01	13%	13 Jul →
inferno	13–10	-0.05	11%	13 Jul →
mirage	2–7	0.02	30%	13 Jul →
dust2	13–4	-0.01	13%	12 Jul →
inferno	2–13	0.07	21%	12 Jul →
ancient	13–8	-0.03	14%	12 Jul →
ancient	16–14	-0.02	12%	12 Jul →
anubis	13–3	0.05	13%	12 Jul →
dust2	13–10	-0.04	18%	11 Jul →
anubis	13–10	0.07	17%	11 Jul →
ancient	11–13	0.01	16%	11 Jul →
cache	11–13	-0.06	15%	10 Jul →
dust2	15–15	0.03	17%	10 Jul →
mirage	6–13	0.00	18%	10 Jul →
mirage	8–13	-0.05	20%	9 Jul →
anubis	13–11	0.12	11%	8 Jul →
mirage	13–4	0.06	11%	8 Jul →
ancient	13–6	-0.02	13%	7 Jul →
anubis	13–9	0.05	18%	7 Jul →
mirage	10–13	-0.00	14%	5 Jul →
overpass	8–13	0.05	26%	5 Jul →
dust2	13–8	-0.02	13%	4 Jul →
ancient	14–16	0.02	23%	4 Jul →
mirage	6–13	-0.03	26%	4 Jul →
anubis	13–2	0.03	21%	3 Jul →
ancient	13–6	0.03	16%	3 Jul →
anubis	13–6	0.15	17%	3 Jul →
dust2	7–13	0.02	22%	3 Jul →
dust2	13–11	0.05	13%	3 Jul →
anubis	13–5	0.03	12%	2 Jul →
ancient	13–4	0.13	33%	2 Jul →
inferno	16–13	0.03	19%	2 Jul →
mirage	13–7	-0.01	12%	1 Jul →
inferno	9–13	-0.02	13%	30 Jun →
anubis	11–13	0.05	13%	30 Jun →
mirage	7–13	0.04	17%	30 Jun →
anubis	5–13	-0.04	10%	30 Jun →
inferno	8–13	0.05	18%	29 Jun →
ancient	13–9	0.13	6%	29 Jun →
dust2	5–13	0.02	22%	29 Jun →
dust2	5–13	-0.00	8%	28 Jun →
inferno	13–7	0.00	18%	27 Jun →
dust2	10–13	-0.04	22%	24 Jun →
cache	12–12	-0.05	16%	24 Jun →