anna — CS2 Stats

CN76561198800009453[U:1:839743725]Steam profile ↗✓ No bans

3,144Tracked matches52%Win rate2020Tracked since

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating24,362Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

CSDB Leaderboard#2400 of 11934 tracked

FaceitLevel 10 · 2,411 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning46

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLLLWTWLWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.5

Aggression3.4

Utility4.7

Positioning4.6

Opening Duels0.7

Clutch3.6

Sharp aimerStrong 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 87% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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 50% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim8.5

Positioning4.6

Utility4.7

Mechanics8.0

Opening Duels2.5

Win Impact5.6

Composite 6.3/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time611ms−19ms

first ⅓ avg 630ms → last ⅓ avg 611ms

Headshot accuracy22.5%−2.3%

first ⅓ avg 24.8% → last ⅓ avg 22.5%

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

0.12Best rating — anubis 13–4

13–2Biggest win — ancient

10Longest win streak

L3Current streak

2–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 91% over 11mirageWeakest map · 51% over 43

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	43	22–21	51%	-0.01
ancient	A	18	11–7	61%	-0.01
dust2	A	16	9–7	56%	-0.01
anubis	S	11	10–1	91%	-0.00
overpass	—	4	2–2	50%	0.03
inferno	—	3	1–2	33%	-0.01
nuke	—	3	2–1	67%	-0.03
cache	—	2	2–0	100%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (51% over 43). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,674Matches

53%Win rate

0.93Avg K/D

70.1ADR

51%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	435	54%	0.92	14.2
Ancient	212	54%	0.95	14.3
Anubis	138	49%	0.87	13.8
Dust2	128	49%	0.95	14.9
Nuke	88	48%	0.87	13.6
Inferno	39	54%	0.82	13.1
Overpass	37	54%	0.98	14.1
Vertigo	32	34%	0.87	14.1

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.

21.5%Headshot accuracy

38.1%Accuracy (enemy spotted)

45.3%Spray accuracy

86.2%Counter-strafing

9.1°Preaim

621msReaction time

15.9%T opening success

50.0%CT opening success

0.77Enemies flashed / flash

2.9%Flash assists

8.86HE damage / grenade

10.86Flashes / 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 15.9057% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.04	26%	4 Jul →
mirage	7–13	0.01	19%	3 Jul →
ancient	0–10	-0.06	67%	30 Jun →
dust2	13–7	-0.00	31%	30 Jun →
mirage	12–12	-0.09	0%	29 Jun →
mirage	13–7	0.10	21%	29 Jun →
inferno	7–9	-0.07	36%	28 Jun →
cache	13–4	-0.05	12%	28 Jun →
mirage	11–13	-0.06	34%	28 Jun →
dust2	13–5	0.10	25%	22 Jun →
dust2	12–16	0.02	30%	21 May →
mirage	13–8	-0.00	25%	21 May →
dust2	5–13	-0.09	5%	18 May →
mirage	13–16	-0.05	19%	18 May →
mirage	14–16	0.02	21%	17 May →
mirage	13–16	-0.07	23%	17 May →
mirage	3–13	-0.04	22%	10 May →
dust2	16–13	0.03	27%	6 May →
ancient	13–8	0.00	15%	6 May →
mirage	13–6	0.08	23%	6 May →
mirage	13–6	-0.01	16%	6 May →
mirage	13–3	0.03	23%	3 May →
cache	13–7	-0.06	12%	1 May →
mirage	18–22	-0.04	21%	24 Apr →
mirage	13–10	0.04	29%	23 Apr →
nuke	5–13	-0.09	5%	23 Apr →
ancient	13–8	0.01	9%	23 Apr →
mirage	13–10	-0.01	17%	22 Apr →
dust2	5–13	-0.07	19%	21 Apr →
dust2	14–16	-0.05	26%	21 Apr →
ancient	13–2	0.07	17%	21 Apr →
ancient	13–16	-0.03	22%	21 Apr →
mirage	9–13	0.02	45%	21 Apr →
mirage	3–13	-0.06	43%	20 Apr →
dust2	4–13	-0.02	16%	17 Apr →
mirage	13–10	-0.02	26%	17 Apr →
mirage	16–13	-0.01	16%	16 Apr →
dust2	11–13	0.04	23%	15 Apr →
dust2	13–4	-0.01	18%	15 Apr →
ancient	13–5	-0.00	10%	15 Apr →
mirage	0–2	-0.09	0%	13 Apr →
mirage	13–4	-0.03	38%	13 Apr →
mirage	14–16	-0.07	28%	13 Apr →
mirage	9–13	-0.08	22%	13 Apr →
mirage	9–13	-0.07	4%	12 Apr →
anubis	13–10	0.00	13%	12 Apr →
anubis	4–13	-0.02	15%	11 Apr →
mirage	7–13	-0.08	20%	11 Apr →
ancient	13–2	-0.03	27%	11 Apr →
dust2	8–13	-0.04	9%	10 Apr →
nuke	13–11	0.02	25%	10 Apr →
dust2	13–5	0.04	34%	10 Apr →
ancient	13–10	0.08	30%	9 Apr →
mirage	11–13	0.05	21%	5 Apr →
anubis	13–11	-0.01	25%	5 Apr →
anubis	13–4	-0.03	37%	4 Apr →
ancient	9–13	-0.03	15%	4 Apr →
inferno	6–13	0.02	18%	4 Apr →
dust2	13–9	-0.06	23%	4 Apr →
dust2	13–4	0.04	23%	4 Apr →
overpass	7–13	0.02	32%	3 Apr →
mirage	16–12	0.01	22%	3 Apr →
ancient	13–5	-0.01	17%	3 Apr →
anubis	13–4	-0.05	19%	3 Apr →
mirage	13–8	0.08	14%	3 Apr →
mirage	13–2	-0.02	20%	3 Apr →
dust2	13–7	-0.03	23%	2 Apr →
anubis	13–2	0.01	35%	2 Apr →
mirage	13–9	0.11	21%	2 Apr →
ancient	13–2	0.01	11%	2 Apr →
mirage	13–5	-0.02	26%	2 Apr →
ancient	8–13	-0.03	18%	1 Apr →
ancient	13–9	-0.03	13%	31 Mar →
mirage	10–13	-0.04	18%	30 Mar →
mirage	16–13	0.04	41%	29 Mar →
mirage	13–5	0.03	23%	28 Mar →
mirage	13–2	-0.05	22%	28 Mar →
overpass	13–2	0.08	23%	28 Mar →
anubis	13–10	0.03	27%	28 Mar →
ancient	10–13	-0.05	22%	27 Mar →
inferno	13–7	0.01	15%	27 Mar →
nuke	13–6	-0.01	24%	27 Mar →
overpass	0–3	-0.01	67%	27 Mar →
anubis	13–4	0.12	26%	26 Mar →
ancient	3–5	-0.04	44%	26 Mar →
mirage	13–5	-0.08	40%	26 Mar →
dust2	13–10	0.01	22%	26 Mar →
mirage	13–10	-0.02	23%	26 Mar →
overpass	13–3	0.03	20%	25 Mar →
ancient	13–6	0.04	29%	24 Mar →
mirage	13–8	0.10	30%	24 Mar →
mirage	13–4	-0.01	19%	23 Mar →
anubis	13–6	-0.11	10%	23 Mar →
mirage	15–15	-0.03	19%	22 Mar →
mirage	7–13	-0.10	10%	22 Mar →
anubis	13–4	0.01	16%	22 Mar →
mirage	14–16	-0.03	26%	22 Mar →
anubis	13–2	0.01	32%	21 Mar →
ancient	13–5	-0.03	19%	21 Mar →
mirage	8–13	-0.07	27%	19 Mar →