☁ — CS2 Stats

76561198954712580[U:1:994446852]Steam profile ↗✓ No bans

776Tracked matches57%Win rate2020Tracked since

CSDB Rating5.4 DevelopingClutch Specialist

Premier CS Rating15,744Purple band · top ~25.4% of ranked players (population est.)

CSDB Leaderboard#6293 of 9935 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning51

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLWWWLWWTW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.7

Aggression6.2

Utility3.7

Positioning5.1

Opening Duels2.5

Clutch8.8

Limited utility dependenceReliable in 1v1s

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 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 614ms 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

Aim6.7

Positioning5.1

Utility3.7

Mechanics5.8

Opening Duels2.5

Win Impact7.4

Composite 5.4/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time603ms−8ms

first ⅓ avg 611ms → last ⅓ avg 603ms

Headshot accuracy20.8%+2.1%

first ⅓ avg 18.8% → last ⅓ avg 20.8%

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

0.13Best rating — overpass 13–7

13–1Biggest win — nuke

8Longest win streak

L2Current streak

4–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 73% over 15infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	16–16	50%	0.01
dust2	B	17	8–9	47%	-0.01
anubis	S	15	11–4	73%	0.03
cache	B	13	6–7	46%	0.02
inferno	D	12	4–8	33%	-0.02
ancient	—	4	2–2	50%	0.05
nuke	—	3	3–0	100%	0.07
overpass	—	3	2–1	67%	0.07
vertigo	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches

53%Win rate

0.89Avg K/D

64.7ADR

47%Headshot %

Clutches & streaks

64%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	0.81	12.6
Anubis	6	83%	1.12	13.3
Dust2	6	50%	0.70	12.0
Ancient	4	50%	1.03	14.8
Inferno	3	67%	1.12	13.3
Nuke	2	50%	0.70	12.5
Cache	1	0%	0.72	13.0

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.

21.1%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.1%Spray accuracy

76.0%Counter-strafing

8.2°Preaim

614msReaction time

34.8%T opening success

44.9%CT opening success

0.62Enemies flashed / flash

2.4%Flash assists

7.00HE damage / grenade

4.91Flashes / 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 34.7813% — 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.

33% win rate across 12 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	3–13	-0.02	23%	26 Aug →
dust2	4–13	-0.05	12%	26 Aug →
inferno	13–10	-0.05	10%	23 Aug →
mirage	13–4	-0.03	30%	23 Aug →
anubis	13–2	-0.01	20%	23 Aug →
dust2	11–13	0.03	21%	21 Aug →
cache	13–9	0.04	29%	21 Aug →
cache	13–7	0.02	21%	20 Aug →
vertigo	12–12	0.00	21%	20 Aug →
dust2	13–8	0.04	20%	20 Aug →
mirage	9–13	0.03	38%	31 Jul →
mirage	6–13	0.01	27%	30 Jul →
cache	13–6	0.06	30%	30 Jul →
ancient	11–13	0.04	17%	30 Jul →
inferno	11–13	-0.04	19%	29 Jul →
mirage	13–6	0.05	30%	25 Jul →
anubis	13–2	0.04	21%	24 Jul →
mirage	13–11	0.04	20%	24 Jul →
nuke	13–1	0.10	21%	24 Jul →
mirage	13–6	0.01	21%	24 Jul →
mirage	15–15	0.05	16%	24 Jul →
dust2	6–13	-0.04	23%	24 Jul →
anubis	13–6	0.11	12%	22 Jul →
cache	3–13	-0.02	26%	22 Jul →
cache	1–13	-0.07	21%	22 Jul →
nuke	13–4	0.06	15%	22 Jul →
dust2	11–13	0.02	17%	22 Jul →
mirage	9–13	0.03	27%	22 Jul →
mirage	13–10	-0.02	17%	22 Jul →
mirage	13–8	0.01	14%	22 Jul →
cache	13–8	0.02	16%	22 Jul →
inferno	9–13	-0.01	11%	20 Jul →
cache	12–16	-0.00	21%	20 Jul →
mirage	13–8	0.05	12%	20 Jul →
cache	8–13	0.07	25%	19 Jul →
ancient	7–13	0.06	23%	19 Jul →
dust2	13–7	0.00	27%	19 Jul →
mirage	13–9	-0.09	17%	19 Jul →
mirage	13–5	0.08	20%	19 Jul →
cache	13–9	0.07	22%	19 Jul →
mirage	6–13	0.03	18%	19 Jul →
cache	5–13	-0.06	31%	14 Jul →
cache	12–12	0.09	23%	8 Jul →
cache	12–12	-0.00	26%	8 Jul →
inferno	2–13	0.02	22%	8 Jul →
overpass	13–7	0.05	13%	29 Jun →
mirage	15–15	0.08	20%	29 Jun →
nuke	13–10	0.06	28%	18 Jun →
dust2	13–2	0.08	20%	30 May →
dust2	11–13	-0.09	20%	30 May →
anubis	13–9	0.01	10%	30 May →
anubis	8–13	-0.01	12%	29 May →
ancient	13–5	0.01	23%	29 May →
inferno	2–13	-0.01	12%	29 May →
mirage	8–13	-0.08	20%	29 May →
inferno	13–11	0.04	13%	28 May →
dust2	13–9	-0.06	12%	27 May →
inferno	4–13	-0.00	22%	27 May →
dust2	13–10	-0.02	19%	26 May →
anubis	13–4	0.02	5%	25 May →
inferno	13–4	0.05	16%	22 May →
ancient	13–3	0.10	15%	22 May →
mirage	13–5	-0.06	18%	22 May →
dust2	13–3	0.07	28%	22 May →
anubis	13–10	0.07	13%	20 May →
anubis	13–7	-0.00	9%	20 May →
dust2	3–13	-0.10	13%	20 May →
mirage	11–13	-0.05	6%	19 May →
dust2	11–13	0.00	24%	19 May →
anubis	13–10	0.05	12%	19 May →
mirage	13–3	0.09	15%	19 May →
anubis	13–11	0.08	11%	19 May →
mirage	13–3	0.12	29%	19 May →
inferno	13–7	0.05	20%	19 May →
dust2	7–13	-0.05	36%	19 May →
inferno	6–13	-0.11	26%	17 May →
dust2	13–4	0.04	17%	17 May →
inferno	7–13	-0.00	20%	17 May →
mirage	13–4	0.06	32%	17 May →
anubis	13–1	0.12	19%	17 May →
cache	13–9	0.07	19%	8 May →
anubis	0–10	-0.09	50%	8 May →
mirage	8–13	-0.00	18%	8 May →
mirage	10–13	-0.00	14%	1 May →
anubis	11–13	0.01	11%	26 Apr →
dust2	13–11	0.03	25%	24 Apr →
inferno	4–13	-0.12	28%	24 Apr →
overpass	13–7	0.13	13%	22 Apr →
mirage	8–13	-0.03	13%	21 Apr →
mirage	13–16	0.02	11%	21 Apr →
mirage	16–12	0.04	17%	21 Apr →
mirage	7–13	0.03	18%	20 Apr →
mirage	13–9	0.06	19%	20 Apr →
mirage	3–13	-0.00	14%	20 Apr →
overpass	11–13	0.03	14%	20 Apr →
anubis	13–10	0.08	11%	20 Apr →
mirage	15–15	0.01	13%	20 Apr →
anubis	15–15	-0.01	7%	19 Apr →
mirage	13–3	-0.03	22%	19 Apr →
dust2	2–13	-0.08	17%	9 Apr →