Purplies — CS2 Stats

AU76561198041839714[U:1:81573986]Steam profile ↗✓ No bans

2,270Tracked matches71%Win rate2020Tracked since

CSDB Rating7.6 StrongAggressive Rifler

Premier CS Rating25,923Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1728 of 15740 tracked

FaceitLevel 10 · 2,019 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning59

Utility56

0–100 skill scores via Leetify.

Recent form

HOT61–33–6Last 10061%Win rateWWWLTWWWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim9.2

Aggression7.1

Utility5.6

Positioning5.9

Opening Duels3.7

Clutch6.0

Sharp aimerStrong 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 95% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 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 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning5.9

Utility5.6

Mechanics7.5

Opening Duels3.7

Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time511ms−45ms

first ⅓ avg 556ms → last ⅓ avg 511ms

Headshot accuracy19.5%−4.3%

first ⅓ avg 23.8% → last ⅓ avg 19.5%

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

0.21Best rating — nuke 13–3

13–0Biggest win — dust2

6Longest win streak

W3Current streak

4–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 100% over 7anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	33	23–10	70%	0.05
mirage	A	25	14–11	56%	0.02
nuke	B	13	7–6	54%	0.04
ancient	A	8	5–3	63%	0.01
inferno	B	8	4–4	50%	0.01
cache	S	7	7–0	100%	0.08
anubis	D	6	1–5	17%	0.02

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

184Matches

64%Win rate

1.28Avg K/D

89.2ADR

56%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	58%	1.14	17.3
Ancient	38	74%	1.41	19.6
Dust2	34	65%	1.22	17.3
Inferno	23	61%	1.35	18.1
Nuke	22	64%	1.30	18.1
Anubis	8	50%	1.58	18.3
Cache	5	80%	1.23	17.0
Overpass	2	50%	1.21	15.0

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.

19.3%Headshot accuracy

41.6%Accuracy (enemy spotted)

46.1%Spray accuracy

83.5%Counter-strafing

8.4°Preaim

516msReaction time

35.1%T opening success

54.5%CT opening success

0.53Enemies flashed / flash

9.8%Flash assists

5.42HE damage / grenade

14.04Flashes / 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 35.096% — 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
dust2	13–4	0.10	12%	27 Aug →
dust2	13–5	0.07	16%	27 Aug →
dust2	13–3	0.08	19%	27 Aug →
dust2	11–13	0.02	18%	27 Aug →
mirage	12–12	0.02	15%	23 Aug →
mirage	13–2	0.09	14%	23 Aug →
mirage	13–11	0.02	10%	20 Aug →
dust2	11–4	0.05	32%	20 Aug →
dust2	13–10	0.01	21%	20 Aug →
dust2	13–2	0.01	22%	19 Aug →
dust2	13–7	0.11	27%	19 Aug →
ancient	8–13	0.02	17%	19 Aug →
nuke	8–13	0.06	18%	19 Aug →
cache	13–4	0.08	14%	18 Aug →
dust2	13–3	0.13	24%	18 Aug →
dust2	13–3	0.07	21%	18 Aug →
anubis	5–13	-0.03	15%	18 Aug →
ancient	13–6	0.05	31%	18 Aug →
mirage	13–2	-0.00	20%	18 Aug →
anubis	10–13	-0.03	13%	18 Aug →
cache	13–6	0.14	23%	18 Aug →
dust2	13–9	0.06	25%	18 Aug →
mirage	5–13	-0.02	17%	18 Aug →
inferno	5–9	-0.03	19%	15 Aug →
inferno	13–4	0.05	20%	15 Aug →
dust2	13–4	0.14	14%	15 Aug →
dust2	13–1	0.06	14%	14 Aug →
cache	13–5	0.01	20%	14 Aug →
dust2	12–12	0.07	24%	14 Aug →
dust2	13–16	-0.02	26%	14 Aug →
nuke	4–13	0.03	16%	14 Aug →
inferno	4–13	-0.06	20%	14 Aug →
cache	13–2	0.01	28%	13 Aug →
mirage	7–13	-0.01	24%	12 Aug →
mirage	16–13	0.11	19%	10 Aug →
mirage	4–13	0.01	17%	10 Aug →
mirage	9–13	0.03	17%	10 Aug →
nuke	6–13	0.13	25%	10 Aug →
ancient	4–13	-0.05	21%	10 Aug →
mirage	4–13	-0.04	9%	6 Aug →
ancient	16–14	0.02	17%	5 Aug →
mirage	13–9	0.03	15%	5 Aug →
nuke	14–16	-0.04	17%	5 Aug →
mirage	13–6	-0.00	15%	5 Aug →
dust2	11–13	0.01	16%	5 Aug →
dust2	13–3	-0.01	19%	5 Aug →
dust2	13–8	0.06	35%	4 Aug →
nuke	13–9	0.04	23%	4 Aug →
dust2	9–13	-0.04	19%	4 Aug →
inferno	13–9	0.01	13%	3 Aug →
mirage	6–13	0.01	34%	3 Aug →
dust2	13–6	0.01	15%	3 Aug →
ancient	5–13	-0.04	12%	3 Aug →
mirage	16–12	0.04	24%	3 Aug →
mirage	13–2	0.02	26%	3 Aug →
nuke	13–9	0.06	20%	2 Aug →
nuke	13–3	0.01	20%	2 Aug →
anubis	13–5	0.10	26%	2 Aug →
anubis	15–15	0.03	12%	2 Aug →
dust2	16–13	-0.03	18%	2 Aug →
nuke	13–8	-0.02	17%	2 Aug →
anubis	4–13	0.00	18%	1 Aug →
dust2	15–15	-0.05	25%	1 Aug →
cache	13–3	0.07	20%	1 Aug →
dust2	16–14	0.05	33%	1 Aug →
mirage	10–13	-0.05	34%	1 Aug →
nuke	13–6	-0.01	20%	1 Aug →
nuke	11–13	-0.04	10%	1 Aug →
cache	13–9	0.14	18%	1 Aug →
dust2	13–8	0.02	21%	1 Aug →
mirage	13–11	0.02	22%	30 Jul →
dust2	13–2	0.13	26%	30 Jul →
nuke	13–5	0.06	27%	30 Jul →
dust2	10–13	-0.04	14%	30 Jul →
ancient	13–6	-0.01	24%	30 Jul →
dust2	11–13	0.08	24%	30 Jul →
nuke	12–16	-0.00	24%	29 Jul →
inferno	13–5	-0.04	27%	29 Jul →
mirage	13–8	0.10	18%	29 Jul →
dust2	13–8	0.03	29%	29 Jul →
inferno	13–16	0.02	33%	28 Jul →
anubis	7–13	0.06	21%	28 Jul →
mirage	13–7	0.10	21%	27 Jul →
mirage	3–11	-0.10	6%	25 Jul →
mirage	13–7	-0.00	24%	25 Jul →
dust2	13–10	0.10	27%	25 Jul →
cache	13–9	0.09	20%	25 Jul →
mirage	15–15	0.02	22%	24 Jul →
ancient	13–7	0.06	32%	22 Jul →
ancient	13–5	0.06	24%	22 Jul →
mirage	13–10	0.03	25%	22 Jul →
mirage	9–13	0.03	19%	22 Jul →
dust2	10–13	0.08	29%	22 Jul →
inferno	13–5	0.06	31%	22 Jul →
inferno	3–13	0.03	25%	22 Jul →
dust2	12–12	0.10	31%	20 Jul →
dust2	13–0	0.00	0%	20 Jul →
nuke	13–3	0.21	26%	20 Jul →
mirage	13–0	0.03	67%	18 Jul →
dust2	13–6	0.05	21%	18 Jul →