*aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa — CS2 Stats

76561198193200145[U:1:232934417]Steam profile ↗✓ No bans

1,905Tracked matches54%Win rate2020Tracked since

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating23,277Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#5925 of 25612 tracked

FaceitLevel 10 · 2,515 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning68

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLWLWWLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim9.3

Aggression10.0

Utility5.0

Positioning6.8

Opening Duels5.9

Clutch3.4

Sharp aimerExcellent counter-strafing

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 donk 92% playstyle similarity

Most alike: aim profile, 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 93 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

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. 569ms 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

Aim9.3

Positioning6.8

Utility5.0

Mechanics9.3

Opening Duels5.9

Win Impact6.2

Composite 7.7/10 (Strong), 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 rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time596ms+38ms

first ⅓ avg 558ms → last ⅓ avg 596ms

Headshot accuracy33.2%+5.3%

first ⅓ avg 27.9% → last ⅓ avg 33.2%

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

0.30Best rating — overpass 9–2

13–1Biggest win — ancient

7Longest win streak

6–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 75% over 8cacheWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	15–13	54%	0.05
dust2	A	15	9–6	60%	0.05
ancient	B	12	6–6	50%	0.04
cache	D	11	3–8	27%	0.01
inferno	C	10	4–6	40%	-0.02
nuke	C	9	4–5	44%	0.03
anubis	S	8	6–2	75%	0.04
vertigo	—	3	1–2	33%	0.03
overpass	—	3	1–2	33%	0.09
eldorado	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1,046Matches

56%Win rate

1.41Avg K/D

91.1ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	370	58%	1.45	19.7
Dust2	190	55%	1.30	17.9
Anubis	137	61%	1.51	19.8
Ancient	64	47%	1.31	19.6
Nuke	37	57%	1.32	18.7
Overpass	33	39%	1.42	20.4
Inferno	33	48%	1.48	19.6
Vertigo	21	76%	1.66	19.8

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.

29.0%Headshot accuracy

38.3%Accuracy (enemy spotted)

37.0%Spray accuracy

91.9%Counter-strafing

8.0°Preaim

569msReaction time

48.5%T opening success

58.6%CT opening success

0.51Enemies flashed / flash

7.7%Flash assists

7.02HE damage / grenade

6.82Flashes / match

Recommended for you

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	0.10	17%	21 Aug →
anubis	13–9	-0.03	37%	21 Aug →
cache	8–13	-0.00	32%	16 Aug →
anubis	13–2	-0.02	28%	16 Aug →
inferno	6–9	0.01	47%	12 Aug →
eldorado	9–4	-0.01	38%	12 Aug →
vertigo	9–6	0.10	34%	12 Aug →
cache	9–13	-0.02	24%	12 Aug →
ancient	6–13	-0.04	31%	12 Aug →
mirage	13–9	0.07	23%	12 Aug →
nuke	13–11	0.02	35%	11 Aug →
nuke	5–9	0.06	52%	9 Aug →
inferno	1–9	-0.18	43%	9 Aug →
dust2	13–7	0.13	29%	9 Aug →
ancient	13–10	-0.01	44%	9 Aug →
mirage	13–6	0.08	31%	9 Aug →
mirage	13–8	0.15	30%	6 Aug →
nuke	6–13	0.03	24%	6 Aug →
dust2	9–13	-0.01	23%	6 Aug →
dust2	13–6	0.19	15%	6 Aug →
nuke	7–9	0.03	41%	5 Aug →
overpass	9–2	0.30	52%	5 Aug →
inferno	6–9	0.08	28%	5 Aug →
vertigo	4–9	-0.01	76%	5 Aug →
anubis	13–6	0.00	17%	3 Aug →
ancient	10–13	-0.03	29%	3 Aug →
nuke	15–15	-0.03	20%	3 Aug →
nuke	6–13	-0.00	32%	29 Jul →
anubis	7–13	0.06	27%	28 Jul →
mirage	15–15	-0.00	33%	28 Jul →
cache	1–13	0.00	35%	28 Jul →
mirage	13–8	0.14	33%	25 Jul →
mirage	10–13	0.06	33%	25 Jul →
anubis	13–7	0.12	38%	25 Jul →
dust2	13–7	0.07	20%	24 Jul →
cache	16–12	0.12	29%	24 Jul →
mirage	13–7	-0.02	45%	24 Jul →
cache	9–13	-0.00	23%	22 Jul →
dust2	4–13	-0.02	36%	13 Jul →
inferno	8–13	-0.04	17%	13 Jul →
mirage	13–7	0.01	28%	13 Jul →
mirage	13–11	0.11	26%	12 Jul →
mirage	13–6	0.06	38%	12 Jul →
anubis	13–5	0.13	28%	12 Jul →
ancient	13–1	0.08	38%	12 Jul →
dust2	13–10	0.03	28%	10 Jul →
nuke	13–6	0.10	27%	10 Jul →
ancient	10–13	0.05	47%	10 Jul →
mirage	13–7	-0.01	28%	10 Jul →
mirage	10–13	0.00	15%	10 Jul →
cache	11–13	0.04	31%	10 Jul →
dust2	13–6	0.07	39%	6 Jul →
inferno	12–16	-0.03	24%	4 Jul →
mirage	8–13	0.04	28%	2 Jul →
ancient	13–9	0.05	21%	2 Jul →
ancient	13–5	0.13	25%	2 Jul →
cache	6–13	0.01	36%	2 Jul →
mirage	3–13	0.04	34%	1 Jul →
mirage	5–13	0.06	28%	26 Jun →
ancient	13–7	0.01	41%	25 Jun →
mirage	13–9	0.05	21%	25 Jun →
mirage	13–7	0.13	41%	25 Jun →
ancient	5–13	-0.02	21%	25 Jun →
vertigo	7–9	-0.02	17%	17 Jun →
inferno	9–6	-0.08	21%	17 Jun →
anubis	13–7	0.05	19%	17 Jun →
nuke	13–6	0.10	19%	17 Jun →
mirage	9–13	0.06	35%	11 Jun →
ancient	10–13	0.08	39%	11 Jun →
dust2	11–13	0.01	21%	10 Jun →
mirage	14–16	-0.03	22%	8 Jun →
mirage	13–10	0.03	26%	3 Jun →
inferno	13–10	0.06	32%	1 Jun →
anubis	11–13	-0.01	21%	24 May →
dust2	7–13	0.01	21%	18 May →
mirage	15–15	0.11	40%	18 May →
dust2	13–9	0.02	17%	14 May →
overpass	1–13	-0.08	11%	14 May →
mirage	11–13	0.01	21%	13 May →
cache	13–11	0.01	21%	30 Apr →
cache	13–11	0.02	23%	30 Apr →
cache	8–13	0.06	27%	29 Apr →
dust2	13–1	0.13	31%	29 Apr →
cache	2–13	-0.09	36%	28 Apr →
dust2	9–13	0.06	22%	27 Apr →
mirage	10–13	-0.00	13%	24 Apr →
nuke	13–7	-0.01	10%	24 Apr →
inferno	9–5	0.01	28%	22 Apr →
inferno	7–9	-0.02	36%	22 Apr →
mirage	13–6	0.10	33%	22 Apr →
mirage	13–11	0.08	46%	22 Apr →
dust2	3–13	-0.01	22%	21 Apr →
mirage	6–13	-0.01	46%	20 Apr →
dust2	13–9	0.09	40%	16 Apr →
ancient	13–11	0.09	27%	16 Apr →
inferno	13–9	-0.04	39%	16 Apr →
dust2	16–12	-0.03	44%	16 Apr →
mirage	8–13	-0.02	23%	15 Apr →
overpass	6–13	0.04	23%	14 Apr →
mirage	13–10	0.03	23%	10 Apr →