(」ﾟﾛﾟ)｣ Missed Me! — CS2 Stats

US76561198253453824[U:1:293188096]Steam profile ↗✓ No bans

1,808Tracked matches55%Win rate2021Tracked since

CSDB Rating5.5 SolidClutch Specialist

Premier CS Rating20,454Top 50% of 44,590 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#20099 of 56765 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning50

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWLWLLLWW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.3

Aggression4.0

Utility4.6

Positioning5.0

Opening Duels1.5

Clutch10.0

Strong CT-side openerEffective flashesReliable in 1v1s

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 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 575ms 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

Aim6.3

Positioning5.0

Utility4.6

Mechanics6.6

Opening Duels1.7

Win Impact6.7

Composite 5.5/10 (Solid), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time569ms−33ms

first ⅓ avg 603ms → last ⅓ avg 569ms

Headshot accuracy13.0%+1.9%

first ⅓ avg 11.2% → last ⅓ avg 13.0%

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 13–2

13–0Biggest win — mirage

5Longest win streak

10–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 57% over 14anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	39	20–19	51%	-0.01
mirage	C	18	7–11	39%	-0.01
ancient	A	14	8–6	57%	0.01
cache	B	12	6–6	50%	-0.02
inferno	C	8	3–5	38%	-0.02
anubis	D	6	1–5	17%	-0.05
nuke	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

114Matches

48%Win rate

1.09Avg K/D

89.4ADR

37%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	53%	1.17	16.0
Ancient	8	62%	1.15	16.4
Inferno	6	33%	1.18	15.5
Anubis	5	40%	0.71	11.6
Vertigo	5	40%	0.60	10.6
Dust2	3	0%	1.00	17.3
Nuke	1	0%	1.19	19.0

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.

12.9%Headshot accuracy

37.1%Accuracy (enemy spotted)

38.5%Spray accuracy

79.7%Counter-strafing

11.8°Preaim

575msReaction time

28.3%T opening success

43.4%CT opening success

0.72Enemies flashed / flash

8.3%Flash assists

6.44HE damage / grenade

7.26Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.9187% — below the 15% mark we flag
Aim Training →
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 28.2636% — 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.

17% win rate across 6 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
inferno	9–13	0.00	10%	30 Aug →
mirage	13–11	0.02	5%	30 Aug →
ancient	13–8	0.02	23%	30 Aug →
cache	11–13	-0.04	6%	28 Aug →
inferno	13–11	-0.01	13%	27 Aug →
dust2	12–16	0.03	13%	27 Aug →
dust2	8–13	-0.06	14%	26 Aug →
dust2	5–13	-0.04	19%	26 Aug →
dust2	13–9	0.00	18%	25 Aug →
dust2	13–2	0.11	13%	25 Aug →
dust2	13–3	0.01	6%	25 Aug →
cache	13–9	-0.01	29%	25 Aug →
nuke	13–10	0.06	20%	24 Aug →
mirage	11–13	-0.05	10%	24 Aug →
cache	4–13	-0.09	7%	22 Aug →
dust2	9–13	-0.08	21%	22 Aug →
mirage	13–5	-0.01	17%	20 Aug →
dust2	9–13	-0.05	11%	20 Aug →
ancient	13–10	0.00	9%	20 Aug →
dust2	13–6	0.02	16%	20 Aug →
dust2	13–9	-0.01	14%	19 Aug →
mirage	14–16	-0.00	8%	17 Aug →
dust2	13–11	-0.02	13%	17 Aug →
mirage	13–5	-0.00	7%	17 Aug →
dust2	6–13	-0.05	21%	17 Aug →
mirage	16–14	0.03	9%	15 Aug →
mirage	15–15	0.01	11%	15 Aug →
dust2	12–16	-0.07	8%	15 Aug →
inferno	13–2	-0.03	7%	15 Aug →
anubis	0–8	-0.03	15%	13 Aug →
cache	13–11	0.05	8%	12 Aug →
dust2	10–13	-0.02	19%	12 Aug →
cache	13–11	-0.05	9%	12 Aug →
mirage	9–13	0.01	9%	10 Aug →
nuke	10–13	-0.04	16%	9 Aug →
ancient	11–13	0.01	7%	9 Aug →
ancient	7–13	0.02	9%	7 Aug →
dust2	13–10	-0.02	14%	7 Aug →
ancient	5–13	0.07	18%	7 Aug →
cache	13–5	0.01	9%	7 Aug →
anubis	14–16	-0.02	7%	7 Aug →
cache	13–11	0.00	9%	6 Aug →
dust2	10–13	0.01	15%	6 Aug →
dust2	13–7	-0.01	15%	6 Aug →
dust2	13–10	-0.01	14%	6 Aug →
mirage	6–13	-0.03	13%	6 Aug →
dust2	7–13	-0.04	14%	5 Aug →
ancient	13–8	0.02	16%	5 Aug →
mirage	13–0	-0.04	0%	5 Aug →
dust2	7–13	-0.02	13%	5 Aug →
ancient	16–14	0.08	19%	3 Aug →
dust2	13–9	0.06	13%	3 Aug →
dust2	13–10	-0.02	22%	3 Aug →
dust2	13–1	0.01	13%	3 Aug →
dust2	13–6	-0.06	11%	2 Aug →
inferno	12–16	0.02	19%	2 Aug →
dust2	8–13	-0.03	8%	2 Aug →
dust2	13–10	0.01	18%	31 Jul →
mirage	16–13	-0.08	0%	29 Jul →
dust2	15–15	0.01	12%	29 Jul →
cache	7–13	0.01	9%	29 Jul →
ancient	13–10	-0.01	14%	29 Jul →
anubis	8–1	-0.11	10%	28 Jul →
dust2	13–10	-0.02	10%	27 Jul →
ancient	12–16	0.01	20%	27 Jul →
cache	6–13	-0.04	11%	24 Jul →
cache	7–13	-0.05	24%	24 Jul →
anubis	5–13	-0.04	16%	23 Jul →
cache	13–8	-0.02	12%	23 Jul →
dust2	8–13	-0.00	11%	23 Jul →
ancient	13–9	-0.07	3%	23 Jul →
ancient	13–16	-0.03	6%	22 Jul →
anubis	11–13	-0.02	10%	22 Jul →
nuke	13–10	0.01	12%	20 Jul →
cache	7–13	-0.01	2%	20 Jul →
dust2	13–8	-0.04	6%	20 Jul →
inferno	13–3	0.03	21%	20 Jul →
inferno	10–13	0.01	13%	19 Jul →
mirage	1–13	-0.07	21%	19 Jul →
dust2	8–13	0.07	7%	19 Jul →
dust2	13–11	0.00	13%	19 Jul →
dust2	8–13	-0.01	13%	18 Jul →
mirage	13–6	0.07	11%	18 Jul →
ancient	13–4	-0.04	11%	17 Jul →
ancient	15–15	-0.01	7%	17 Jul →
ancient	13–10	0.05	7%	16 Jul →
dust2	9–13	0.01	10%	16 Jul →
mirage	13–16	0.05	10%	15 Jul →
anubis	1–7	-0.06	8%	15 Jul →
dust2	5–13	-0.05	9%	15 Jul →
inferno	5–13	-0.04	10%	15 Jul →
dust2	13–9	-0.02	18%	14 Jul →
mirage	7–13	-0.02	14%	11 Jul →
inferno	2–9	-0.11	17%	11 Jul →
dust2	8–13	0.00	17%	9 Jul →
dust2	13–9	-0.00	9%	9 Jul →
mirage	6–13	-0.02	15%	8 Jul →
dust2	16–14	0.02	14%	6 Jul →
mirage	9–13	0.03	11%	2 Jul →
mirage	0–13	-0.06	4%	1 Jul →