w’ — CS2 Stats

76561198202565919[U:1:242300191]✓ No bans

346Tracked matches43%Win rate2021Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating24,514Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#4573 of 28181 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning52

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateLWWLLLLWWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.6

Aggression6.3

Utility6.0

Positioning5.2

Opening Duels3.0

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 Twistzz 93% 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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim8.6

Positioning5.2

Utility6.0

Mechanics7.1

Opening Duels3.0

Win Impact2.8

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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time566ms−27ms

first ⅓ avg 593ms → last ⅓ avg 566ms

Headshot accuracy22.5%−1.8%

first ⅓ avg 24.3% → 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

0.14Best rating — mirage 13–5

13–0Biggest win — ancient

10Longest win streak

5–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 84% over 19dust2Weakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	33	16–17	48%	-0.00
anubis	B	19	10–9	53%	0.02
ancient	S	19	16–3	84%	0.02
cache	A	11	6–5	55%	0.00
dust2	C	8	3–5	38%	-0.01
mirage	S	7	5–2	71%	0.02
overpass	—	3	2–1	67%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches

54%Win rate

1.35Avg K/D

93.1ADR

48%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	0.90	15.4
Ancient	3	67%	0.98	16.0
Inferno	2	100%	1.76	23.0
Dust2	2	100%	1.34	27.5
Vertigo	2	0%	0.57	11.5
Cache	1	100%	1.53	23.0
Anubis	1	100%	1.21	17.0

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.

22.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

39.3%Spray accuracy

82.0%Counter-strafing

7.9°Preaim

554msReaction time

30.3%T opening success

53.9%CT opening success

0.69Enemies flashed / flash

6.2%Flash assists

8.56HE damage / grenade

9.43Flashes / 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 30.2661% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–16	-0.04	22%	24 Aug →
inferno	13–8	0.04	18%	24 Aug →
inferno	13–9	0.03	19%	24 Aug →
inferno	5–13	-0.05	18%	24 Aug →
anubis	7–13	-0.05	21%	24 Aug →
anubis	4–13	-0.01	17%	21 Aug →
inferno	8–13	-0.05	27%	21 Aug →
inferno	13–3	-0.06	21%	21 Aug →
ancient	13–11	0.04	15%	21 Aug →
ancient	13–6	-0.04	19%	17 Aug →
mirage	4–13	-0.05	22%	17 Aug →
dust2	13–10	-0.01	26%	17 Aug →
dust2	10–13	0.04	18%	17 Aug →
cache	4–13	-0.02	29%	12 Aug →
anubis	5–13	-0.01	38%	11 Aug →
inferno	13–7	0.03	15%	11 Aug →
mirage	13–7	-0.03	32%	11 Aug →
dust2	11–13	-0.05	31%	11 Aug →
anubis	9–13	0.06	19%	9 Aug →
inferno	11–13	0.04	32%	9 Aug →
ancient	13–6	0.13	28%	9 Aug →
inferno	9–13	0.02	27%	9 Aug →
ancient	13–5	-0.03	20%	9 Aug →
inferno	8–13	0.04	25%	8 Aug →
anubis	13–11	-0.02	24%	8 Aug →
mirage	13–1	0.13	21%	8 Aug →
anubis	13–8	0.05	15%	5 Aug →
ancient	6–13	0.01	16%	5 Aug →
ancient	8–13	-0.01	28%	5 Aug →
inferno	8–13	-0.04	10%	4 Aug →
anubis	13–10	0.01	23%	4 Aug →
anubis	13–4	0.11	16%	4 Aug →
cache	13–6	-0.04	28%	4 Aug →
ancient	13–4	0.02	9%	4 Aug →
mirage	13–5	-0.07	15%	3 Aug →
dust2	16–12	-0.06	19%	3 Aug →
anubis	11–2	0.06	15%	3 Aug →
anubis	13–9	-0.05	17%	3 Aug →
inferno	13–10	0.03	20%	28 Jul →
anubis	13–9	0.00	12%	28 Jul →
inferno	5–13	0.05	30%	28 Jul →
cache	8–13	0.06	17%	27 Jul →
cache	10–13	0.05	29%	27 Jul →
inferno	14–16	0.02	25%	26 Jul →
anubis	13–6	-0.01	15%	26 Jul →
anubis	10–13	0.06	36%	22 Jul →
cache	3–13	-0.05	26%	21 Jul →
dust2	6–13	-0.01	43%	20 Jul →
ancient	13–0	0.13	19%	20 Jul →
ancient	13–5	0.05	19%	20 Jul →
inferno	0–13	-0.06	0%	17 Jul →
ancient	13–9	-0.07	18%	17 Jul →
inferno	3–13	-0.02	24%	17 Jul →
inferno	13–2	0.05	27%	17 Jul →
cache	13–1	0.05	45%	15 Jul →
inferno	13–4	-0.01	29%	13 Jul →
inferno	5–13	0.04	26%	13 Jul →
ancient	13–10	-0.02	24%	13 Jul →
mirage	13–5	0.14	29%	13 Jul →
cache	13–6	0.09	19%	13 Jul →
mirage	2–13	-0.05	21%	13 Jul →
inferno	11–13	0.05	29%	13 Jul →
inferno	10–13	0.01	32%	12 Jul →
inferno	0–5	-0.05	50%	12 Jul →
cache	5–13	-0.06	20%	12 Jul →
cache	13–10	-0.01	28%	12 Jul →
mirage	13–8	0.08	29%	12 Jul →
cache	13–7	-0.08	17%	12 Jul →
ancient	13–9	-0.06	23%	12 Jul →
anubis	12–16	0.04	33%	9 Jul →
ancient	5–1	0.04	40%	9 Jul →
cache	13–4	0.03	30%	9 Jul →
overpass	13–16	0.02	21%	3 Jul →
anubis	13–9	0.01	27%	3 Jul →
dust2	8–13	-0.03	13%	3 Jul →
overpass	13–7	-0.10	17%	1 Jul →
ancient	13–2	0.03	21%	1 Jul →
anubis	11–13	-0.02	27%	30 Jun →
inferno	9–7	-0.04	41%	30 Jun →
ancient	8–13	-0.03	20%	30 Jun →
anubis	15–15	0.02	21%	30 Jun →
inferno	8–13	-0.06	16%	30 Jun →
inferno	8–6	-0.09	17%	30 Jun →
anubis	9–1	0.13	30%	29 Jun →
inferno	13–10	-0.03	18%	29 Jun →
inferno	13–8	0.03	26%	28 Jun →
dust2	4–13	-0.02	24%	28 Jun →
inferno	13–11	-0.01	24%	28 Jun →
ancient	13–9	0.00	18%	28 Jun →
inferno	13–6	-0.03	21%	28 Jun →
inferno	0–4	-0.08	40%	27 Jun →
inferno	13–9	0.03	19%	27 Jun →
dust2	16–12	0.05	35%	27 Jun →
overpass	13–6	-0.02	30%	27 Jun →
inferno	10–13	-0.02	33%	26 Jun →
ancient	13–8	0.06	22%	26 Jun →
ancient	13–6	0.04	12%	26 Jun →
ancient	13–0	0.13	13%	26 Jun →
inferno	13–5	0.00	14%	26 Jun →
inferno	13–4	0.03	41%	23 Jun →