purple — CS2 Stats

GR76561198215134339[U:1:254868611]Steam profile ↗✓ No bans

3,102Tracked matches40%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating17,586Purple band · top ~18.1% of ranked players (population est.)

CSDB Leaderboard#14890 of 27826 tracked

FaceitLevel 8 · 1,403 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning48

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWWLLWLLLL

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

Player DNA

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

Aim6.8

Aggression7.6

Utility5.4

Positioning4.8

Opening Duels2.5

Clutch3.8

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 b1t 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 652ms 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

Aim6.8

Positioning4.8

Utility5.4

Mechanics5.2

Opening Duels2.5

Win Impact1.7

Composite 5.0/10 (Developing), 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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time652ms−30ms

first ⅓ avg 682ms → last ⅓ avg 652ms

Headshot accuracy21.5%−0.7%

first ⅓ avg 22.2% → last ⅓ avg 21.5%

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

0.09Best rating — ancient 13–5

13–1Biggest win — dust2

6Longest win streak

W3Current streak

10–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 60% over 5anubisWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	17–24	41%	-0.01
ancient	A	25	14–11	56%	-0.00
anubis	D	17	5–12	29%	-0.03
inferno	C	8	3–5	38%	-0.03
mirage	A	5	3–2	60%	-0.00
cache	—	2	1–1	50%	-0.02
nuke	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,829Matches

50%Win rate

0.92Avg K/D

70.5ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	696	56%	0.98	14.3
Ancient	444	50%	0.87	13.8
Anubis	244	45%	0.94	14.6
Mirage	176	46%	0.83	13.3
Inferno	157	42%	0.93	14.5
Overpass	51	45%	0.82	13.1
Nuke	23	48%	0.85	13.6
Train	18	28%	0.83	14.9

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.

20.8%Headshot accuracy

33.2%Accuracy (enemy spotted)

41.6%Spray accuracy

73.5%Counter-strafing

8.4°Preaim

652msReaction time

37.0%T opening success

43.0%CT opening success

0.59Enemies flashed / flash

8.3%Flash assists

6.84HE damage / grenade

6.72Flashes / 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 36.9775% — 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.

29% win rate across 17 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	13–6	0.03	24%	28 Aug →
inferno	13–7	0.00	15%	27 Aug →
dust2	13–10	0.05	35%	24 Aug →
anubis	12–16	-0.07	17%	14 Aug →
cache	9–13	-0.03	15%	14 Aug →
dust2	13–3	0.02	13%	13 Aug →
anubis	6–13	-0.02	32%	12 Aug →
ancient	7–13	-0.06	29%	12 Aug →
ancient	11–13	0.01	25%	11 Aug →
dust2	3–13	-0.05	35%	11 Aug →
dust2	13–8	0.04	21%	9 Aug →
dust2	5–13	-0.05	24%	9 Aug →
inferno	5–13	-0.01	17%	9 Aug →
dust2	16–12	-0.03	33%	27 Jul →
ancient	7–13	-0.09	16%	26 Jul →
ancient	22–19	0.03	16%	26 Jul →
ancient	13–11	-0.04	14%	25 Jul →
anubis	8–13	0.04	31%	23 Jul →
dust2	8–13	-0.05	7%	23 Jul →
ancient	10–13	0.03	26%	23 Jul →
ancient	13–7	-0.03	10%	20 Jul →
ancient	13–10	-0.04	15%	20 Jul →
inferno	8–13	-0.04	17%	20 Jul →
dust2	13–3	-0.04	14%	19 Jul →
anubis	13–4	0.04	20%	19 Jul →
ancient	10–13	-0.04	16%	14 Jul →
mirage	8–13	0.01	22%	14 Jul →
anubis	4–13	-0.09	19%	14 Jul →
dust2	11–13	-0.05	20%	13 Jul →
inferno	1–13	-0.05	33%	13 Jul →
ancient	13–5	0.09	27%	13 Jul →
ancient	13–16	-0.00	25%	12 Jul →
mirage	13–9	-0.03	31%	12 Jul →
dust2	7–13	0.04	33%	12 Jul →
dust2	13–1	0.04	23%	11 Jul →
dust2	3–13	-0.12	18%	11 Jul →
mirage	4–13	0.01	22%	11 Jul →
dust2	6–13	-0.04	19%	11 Jul →
dust2	7–13	-0.03	27%	10 Jul →
dust2	11–13	0.07	24%	10 Jul →
anubis	2–13	-0.11	20%	10 Jul →
inferno	13–9	-0.01	27%	10 Jul →
dust2	6–13	0.04	36%	10 Jul →
dust2	13–5	0.04	22%	10 Jul →
cache	13–8	-0.00	26%	9 Jul →
inferno	13–10	-0.03	24%	9 Jul →
dust2	8–13	-0.00	26%	9 Jul →
anubis	4–13	-0.04	23%	8 Jul →
dust2	9–13	-0.07	13%	7 Jul →
ancient	12–12	0.02	27%	6 Jul →
anubis	13–9	-0.00	25%	3 Jul →
anubis	6–13	-0.06	16%	3 Jul →
dust2	13–8	0.04	26%	3 Jul →
dust2	11–13	-0.01	20%	3 Jul →
mirage	16–14	0.02	24%	3 Jul →
dust2	13–11	-0.02	21%	1 Jul →
dust2	8–13	0.02	21%	30 Jun →
dust2	5–13	-0.08	22%	30 Jun →
dust2	15–15	-0.02	24%	30 Jun →
dust2	6–13	-0.01	38%	30 Jun →
dust2	13–11	-0.05	23%	30 Jun →
ancient	4–13	-0.02	26%	29 Jun →
anubis	5–13	-0.06	31%	29 Jun →
ancient	13–7	-0.01	16%	29 Jun →
inferno	10–13	-0.01	31%	29 Jun →
dust2	13–11	-0.02	29%	29 Jun →
ancient	13–8	0.04	17%	29 Jun →
dust2	12–12	-0.02	41%	29 Jun →
dust2	9–13	-0.05	12%	28 Jun →
ancient	10–13	-0.02	11%	28 Jun →
ancient	13–6	0.02	30%	28 Jun →
anubis	13–11	0.06	14%	28 Jun →
ancient	13–11	0.00	19%	28 Jun →
dust2	13–8	-0.08	26%	28 Jun →
dust2	4–13	-0.05	18%	28 Jun →
ancient	10–13	-0.01	29%	27 Jun →
dust2	7–13	0.03	11%	27 Jun →
nuke	8–13	-0.01	41%	27 Jun →
dust2	13–9	0.03	13%	27 Jun →
anubis	8–13	-0.05	36%	27 Jun →
ancient	13–7	0.01	31%	27 Jun →
anubis	3–13	-0.06	15%	27 Jun →
dust2	13–11	-0.06	21%	27 Jun →
mirage	16–14	-0.01	19%	27 Jun →
ancient	9–13	-0.01	31%	26 Jun →
anubis	11–13	-0.00	15%	26 Jun →
dust2	9–13	0.06	14%	26 Jun →
anubis	11–13	-0.01	28%	26 Jun →
overpass	8–13	-0.04	14%	26 Jun →
inferno	11–13	-0.08	22%	26 Jun →
ancient	13–9	0.04	21%	26 Jun →
dust2	13–16	0.02	20%	26 Jun →
ancient	13–8	0.05	17%	25 Jun →
dust2	13–8	-0.07	35%	25 Jun →
dust2	13–4	0.07	24%	25 Jun →
anubis	13–6	-0.05	14%	24 Jun →
ancient	13–3	-0.02	17%	24 Jun →
anubis	13–11	0.02	17%	24 Jun →
dust2	10–13	-0.04	24%	24 Jun →
ancient	13–4	0.00	31%	24 Jun →