miroing_dark — CS2 Stats

76561199189728479[U:1:1229462751]

1,044Tracked matches34%Win rate2021Tracked since

CSDB Rating5.7 SolidAggressive Rifler

FaceitLevel 10 · 2,125 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning56

Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLLWLWLLLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.4

Aggression8.0

Utility4.9

Positioning5.6

Opening Duels3.6

Clutch4.8

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 ropz 92% playstyle similarity

Most alike: utility contribution, 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

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 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim8.4

Positioning5.6

Utility4.9

Mechanics6.3

Opening Duels3.6

Win Impact0.0

Composite 5.7/10 (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 rating0.03−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time592ms−32ms

first ⅓ avg 625ms → last ⅓ avg 592ms

Headshot accuracy26.8%+4.7%

first ⅓ avg 22.2% → last ⅓ avg 26.8%

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

0.23Best rating — mirage 9–13

13–2Biggest win — ancient

5Longest win streak

L3Current streak

6–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 80% over 5dust2Weakest map · 32% over 37

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	37	12–25	32%	0.03
mirage	B	29	14–15	48%	0.03
cache	C	12	5–7	42%	0.01
ancient	A	8	5–3	63%	0.03
inferno	S	5	4–1	80%	0.11
anubis	—	4	3–1	75%	0.01
nuke	—	3	2–1	67%	0.06
overpass	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

453Matches

56%Win rate

1.23Avg K/D

84.0ADR

44%Headshot %

Clutches & streaks

44%1v1 clutch win

22%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	144	56%	1.21	17.7
Dust2	79	59%	1.25	16.9
Anubis	51	67%	1.25	16.9
Ancient	46	54%	1.26	17.6
Inferno	12	75%	1.75	18.7
Nuke	12	50%	1.28	13.9
Overpass	6	50%	1.17	19.5
Cache	3	33%	0.81	14.7

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.

27.4%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.8%Spray accuracy

78.5%Counter-strafing

7.5°Preaim

588msReaction time

34.7%T opening success

53.7%CT opening success

0.63Enemies flashed / flash

8.3%Flash assists

6.56HE damage / grenade

6.37Flashes / 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 34.7342% — 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.

32% win rate across 37 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
dust2	4–11	0.05	46%	17 Aug →
mirage	8–13	0.06	22%	15 Aug →
dust2	1–13	0.05	31%	15 Aug →
mirage	13–9	0.10	23%	13 Aug →
dust2	6–13	0.06	26%	11 Aug →
nuke	13–6	0.06	21%	9 Aug →
dust2	9–13	0.04	36%	3 Aug →
cache	10–13	0.11	29%	3 Aug →
mirage	9–13	0.04	15%	1 Aug →
cache	1–13	-0.07	22%	1 Aug →
cache	13–10	0.05	24%	26 Jul →
dust2	8–13	0.05	16%	24 Jul →
ancient	10–13	-0.07	35%	23 Jul →
dust2	9–13	0.03	32%	20 Jul →
anubis	7–13	0.04	20%	20 Jul →
dust2	13–7	0.17	33%	20 Jul →
mirage	13–6	0.04	28%	20 Jul →
dust2	3–13	-0.06	40%	20 Jul →
inferno	13–11	0.09	25%	20 Jul →
mirage	0–3	-0.03	14%	9 Jul →
cache	10–13	-0.02	22%	9 Jul →
cache	1–6	-0.02	31%	9 Jul →
dust2	6–13	0.07	29%	9 Jul →
mirage	2–13	-0.01	25%	9 Jul →
cache	13–8	0.01	19%	9 Jul →
cache	13–8	-0.04	24%	9 Jul →
cache	12–12	-0.02	38%	8 Jul →
dust2	13–7	0.02	42%	8 Jul →
ancient	8–13	0.06	35%	7 Jul →
mirage	13–6	0.02	16%	7 Jul →
dust2	13–8	0.13	18%	6 Jul →
dust2	13–3	0.11	17%	5 Jul →
dust2	13–9	0.03	32%	5 Jul →
ancient	13–2	0.09	31%	5 Jul →
dust2	3–13	0.02	43%	5 Jul →
mirage	9–13	0.23	43%	5 Jul →
overpass	13–6	-0.01	21%	4 Jul →
mirage	11–13	0.03	14%	4 Jul →
dust2	13–3	-0.03	33%	4 Jul →
dust2	13–7	0.03	31%	1 Jul →
mirage	6–13	-0.05	28%	1 Jul →
mirage	10–13	-0.04	20%	1 Jul →
dust2	0–13	-0.03	0%	28 Jun →
dust2	3–8	0.20	30%	28 Jun →
inferno	13–7	0.15	28%	26 Jun →
dust2	10–13	0.05	28%	24 Jun →
nuke	9–13	-0.06	22%	23 Jun →
ancient	6–13	-0.06	28%	23 Jun →
mirage	13–4	0.18	31%	22 Jun →
anubis	13–7	0.03	14%	22 Jun →
mirage	10–13	0.03	28%	21 Jun →
mirage	5–13	-0.06	20%	21 Jun →
mirage	13–9	-0.04	46%	19 Jun →
train	13–9	0.06	26%	18 Jun →
dust2	1–13	-0.01	29%	18 Jun →
dust2	11–13	0.05	20%	18 Jun →
dust2	5–13	-0.05	21%	17 Jun →
dust2	8–13	-0.02	21%	16 Jun →
mirage	13–9	0.02	17%	16 Jun →
mirage	7–13	0.02	36%	14 Jun →
dust2	12–12	0.04	23%	14 Jun →
mirage	13–10	0.08	25%	13 Jun →
dust2	9–13	-0.01	22%	13 Jun →
dust2	11–13	-0.06	30%	11 Jun →
mirage	13–4	0.07	27%	9 Jun →
anubis	13–9	-0.02	12%	8 Jun →
mirage	8–13	-0.01	29%	8 Jun →
dust2	12–12	0.04	30%	7 Jun →
mirage	4–13	-0.04	24%	7 Jun →
ancient	13–3	0.02	14%	6 Jun →
mirage	13–11	-0.03	3%	6 Jun →
dust2	13–6	0.06	18%	5 Jun →
dust2	9–13	0.01	35%	30 May →
cache	13–10	-0.01	25%	28 May →
ancient	13–2	0.07	26%	26 May →
dust2	15–15	0.07	23%	23 May →
mirage	13–5	0.05	20%	23 May →
ancient	16–12	0.05	25%	20 May →
mirage	13–9	-0.00	25%	20 May →
mirage	3–0	0.05	0%	17 May →
mirage	13–5	0.05	18%	17 May →
dust2	4–13	-0.05	20%	17 May →
dust2	12–12	0.00	29%	16 May →
cache	13–4	0.16	29%	16 May →
mirage	13–10	0.10	22%	15 May →
dust2	12–12	-0.01	20%	14 May →
dust2	13–11	0.01	33%	14 May →
mirage	6–13	-0.02	28%	9 May →
mirage	11–13	0.03	22%	6 May →
cache	8–13	-0.00	21%	6 May →
inferno	9–3	0.21	35%	6 May →
dust2	13–11	0.04	24%	3 May →
dust2	13–11	0.05	28%	1 May →
ancient	13–11	0.07	21%	1 May →
dust2	13–6	0.09	14%	29 Apr →
cache	4–13	-0.02	25%	29 Apr →
nuke	9–2	0.18	31%	27 Apr →
inferno	9–5	0.06	15%	27 Apr →
anubis	7–3	-0.02	9%	27 Apr →
inferno	3–13	0.02	19%	27 Apr →