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ZW76561198272968536[U:1:312702808]Steam profile ↗

3,632Tracked matches48%Win rate2021Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating21,873Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#6769 of 20998 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning61

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWLTTLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

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

Aim7.7

Aggression8.3

Utility5.7

Positioning6.1

Opening Duels4.6

Clutch5.0

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: positioning profile, opening-duel success.

Where you differ: 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 60% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.7

Positioning6.1

Utility5.7

Mechanics7.4

Opening Duels4.6

Win Impact4.4

Composite 6.5/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time570ms−69ms

first ⅓ avg 639ms → last ⅓ avg 570ms

Headshot accuracy19.5%−1.2%

first ⅓ avg 20.7% → 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

0.33Best rating — cache 12–12

13–2Biggest win — mirage

6Longest win streak

10–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.03
dust2	A	21	12–9	57%	0.02
cache	C	18	7–11	39%	0.04
inferno	D	10	3–7	30%	0.04
nuke	A	10	6–4	60%	-0.01
anubis	A	8	5–3	63%	0.06
ancient	C	7	3–4	43%	0.05
overpass	—	1	1–0	100%	0.09
vertigo	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

322Matches

57%Win rate

1.13Avg K/D

78.7ADR

45%Headshot %

Clutches & streaks

45%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	55%	1.13	15.7
Inferno	51	53%	1.13	16.2
Anubis	50	64%	1.19	17.5
Dust2	47	43%	0.99	15.4
Vertigo	34	71%	1.23	17.4
Ancient	23	57%	0.99	14.0
Overpass	15	73%	1.66	17.2
Nuke	14	43%	0.92	15.8

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.

20.0%Headshot accuracy

37.4%Accuracy (enemy spotted)

33.7%Spray accuracy

83.1%Counter-strafing

9.7°Preaim

576msReaction time

37.5%T opening success

59.6%CT opening success

0.58Enemies flashed / flash

5.4%Flash assists

10.61HE damage / grenade

10.61Flashes / 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 37.5041% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	0.02	22%	28 Aug →
inferno	13–16	0.06	38%	28 Aug →
mirage	12–12	0.14	24%	27 Aug →
cache	12–12	0.33	29%	27 Aug →
nuke	9–13	-0.02	15%	27 Aug →
inferno	11–4	-0.00	17%	27 Aug →
mirage	6–13	0.05	40%	26 Aug →
cache	5–1	0.04	27%	26 Aug →
anubis	13–6	0.07	20%	26 Aug →
dust2	2–13	-0.05	14%	26 Aug →
nuke	13–5	-0.01	17%	26 Aug →
cache	5–13	0.00	7%	25 Aug →
cache	15–15	-0.01	14%	24 Aug →
dust2	2–13	-0.08	20%	22 Aug →
mirage	7–13	-0.08	16%	21 Aug →
cache	9–13	0.00	20%	21 Aug →
dust2	13–11	0.04	37%	21 Aug →
mirage	3–13	-0.03	10%	21 Aug →
anubis	9–13	0.11	10%	19 Aug →
mirage	13–3	0.13	19%	19 Aug →
dust2	5–13	-0.01	16%	19 Aug →
dust2	13–11	0.03	19%	18 Aug →
cache	13–9	-0.01	20%	18 Aug →
anubis	13–3	0.06	30%	18 Aug →
cache	13–7	0.05	25%	15 Aug →
nuke	13–6	-0.05	9%	15 Aug →
dust2	6–13	-0.07	18%	14 Aug →
mirage	9–13	0.00	19%	13 Aug →
mirage	16–12	0.06	13%	13 Aug →
ancient	11–13	0.01	14%	13 Aug →
nuke	8–13	-0.06	21%	13 Aug →
mirage	5–13	0.06	9%	12 Aug →
mirage	16–12	0.05	16%	12 Aug →
cache	9–13	0.01	17%	12 Aug →
cache	13–11	0.04	24%	11 Aug →
dust2	13–6	-0.02	16%	11 Aug →
inferno	5–13	0.02	17%	11 Aug →
anubis	9–13	-0.01	15%	11 Aug →
nuke	13–8	0.01	24%	11 Aug →
ancient	13–9	0.18	19%	10 Aug →
cache	10–13	0.05	16%	10 Aug →
cache	11–13	0.06	13%	8 Aug →
mirage	11–13	0.05	22%	8 Aug →
overpass	13–11	0.09	24%	8 Aug →
vertigo	5–13	0.07	22%	8 Aug →
ancient	9–13	0.00	16%	8 Aug →
mirage	16–14	0.02	13%	7 Aug →
dust2	13–10	0.04	27%	7 Aug →
dust2	12–12	0.05	24%	6 Aug →
ancient	5–13	0.03	21%	6 Aug →
nuke	3–13	0.01	25%	6 Aug →
cache	13–16	0.00	13%	6 Aug →
mirage	13–6	-0.01	9%	6 Aug →
cache	3–13	-0.00	25%	5 Aug →
dust2	13–8	0.05	42%	5 Aug →
mirage	2–13	0.03	16%	5 Aug →
nuke	13–8	0.04	48%	5 Aug →
inferno	15–15	0.05	12%	5 Aug →
nuke	13–10	0.05	27%	5 Aug →
ancient	9–13	0.06	26%	4 Aug →
inferno	2–11	0.02	25%	4 Aug →
inferno	6–13	-0.03	24%	4 Aug →
mirage	16–14	-0.06	11%	3 Aug →
nuke	16–13	-0.03	16%	2 Aug →
mirage	13–7	0.05	17%	2 Aug →
mirage	13–9	0.04	42%	2 Aug →
dust2	22–18	0.02	13%	1 Aug →
anubis	13–7	0.10	26%	31 Jul →
mirage	6–13	-0.06	20%	31 Jul →
dust2	13–3	0.15	36%	31 Jul →
inferno	13–5	0.07	23%	31 Jul →
mirage	15–15	-0.03	20%	30 Jul →
ancient	13–7	0.07	14%	30 Jul →
anubis	13–11	0.05	18%	30 Jul →
anubis	13–6	0.03	15%	30 Jul →
cache	13–11	0.01	21%	30 Jul →
dust2	13–9	0.07	35%	30 Jul →
inferno	15–15	0.06	28%	29 Jul →
mirage	9–13	0.03	9%	29 Jul →
dust2	13–6	0.13	40%	28 Jul →
dust2	10–13	0.05	13%	28 Jul →
anubis	2–8	0.08	21%	28 Jul →
dust2	13–10	0.03	27%	28 Jul →
dust2	4–13	0.00	19%	28 Jul →
inferno	7–13	0.08	24%	17 Jul →
mirage	10–13	0.06	19%	16 Jul →
cache	13–8	0.03	20%	16 Jul →
dust2	8–13	-0.01	17%	16 Jul →
nuke	3–13	0.00	15%	16 Jul →
ancient	13–10	0.00	19%	16 Jul →
mirage	8–13	-0.06	3%	15 Jul →
cache	12–12	0.12	23%	13 Jul →
dust2	3–13	-0.08	5%	12 Jul →
dust2	13–11	-0.00	8%	11 Jul →
mirage	13–2	0.13	24%	11 Jul →
mirage	13–6	0.01	21%	10 Jul →
dust2	13–11	0.01	15%	10 Jul →
inferno	13–5	0.05	38%	10 Jul →
cache	13–10	0.03	19%	9 Jul →
cache	5–13	-0.03	29%	9 Jul →