He — CS2 Stats

76561198117945826[U:1:157680098]Steam profile ↗✓ No bans

797Tracked matches38%Win rate2020Tracked since

3,283Hours in CS2Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim68

Positioning54

Utility63

0–100 skill scores via Leetify.

Recent form

COLD49–41–10Last 10049%Win rateWLLLWLLLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.8

Aggression6.8

Utility6.3

Positioning5.4

Opening Duels1.5

Clutch2.6

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim6.8

Positioning5.4

Utility6.3

Mechanics6.4

Opening Duels1.5

Win Impact1.2

Composite 5.3/10 (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 rating0.01−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time538ms−39ms

first ⅓ avg 577ms → last ⅓ avg 538ms

Headshot accuracy18.1%−0.2%

first ⅓ avg 18.3% → last ⅓ avg 18.1%

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

0.17Best rating — mirage 13–3

13–2Biggest win — cache

9Longest win streak

10–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	19–23	45%	0.03
mirage	B	32	16–16	50%	0.04
cache	S	10	7–3	70%	0.03
inferno	C	9	4–5	44%	0.03
nuke	—	4	1–3	25%	0.08
overpass	—	2	2–0	100%	0.10
anubis	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,900Lifetime kills

1.20K/D · Top 25% of tracked players

4,304Matches

46.4%Match win rate · Top 50% of tracked players

40.0%Headshot %

15.5%Shot accuracy · Top 25% of tracked players

13,684MVPs

1,721Hours (in match)

6,668Bombs planted

2,172Bombs defused

Most-used weapons

AK-4728,375

AWP18,218

M4A4 / M4A1-S14,679

Desert Eagle6,798

P2000 / USP-S5,694

Glock-184,116

MAC-102,917

SSG 082,759

MP92,696

UMP-452,104

Lifetime map wins

13,404dust2

5,529inferno

738train

715vertigo

643nuke

423cbble

65lake

49shorttrain

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

248Matches

56%Win rate

1.22Avg K/D

87.2ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	1.42	18.9
Dust2	5	80%	1.31	17.4
Inferno	4	75%	1.62	17.5
Ancient	3	0%	0.92	15.0
Anubis	1	100%	0.80	12.0
Vertigo	1	100%	1.36	19.0
Nuke	1	100%	1.00	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.

18.1%Headshot accuracy

30.5%Accuracy (enemy spotted)

34.0%Spray accuracy

78.7%Counter-strafing

8.8°Preaim

541msReaction time

29.6%T opening success

42.1%CT opening success

0.66Enemies flashed / flash

4.5%Flash assists

8.37HE damage / grenade

15.21Flashes / 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 29.5591% — 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.

44% win rate across 9 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
dust2	13–6	-0.01	18%	17 Aug →
dust2	7–13	0.07	28%	4 Aug →
dust2	5–13	-0.07	14%	2 Aug →
mirage	1–13	0.02	18%	2 Aug →
dust2	13–11	0.11	15%	1 Aug →
mirage	9–13	0.02	24%	1 Aug →
dust2	9–13	-0.02	10%	28 Jul →
dust2	1–13	-0.03	19%	28 Jul →
cache	13–2	0.06	14%	10 Jul →
anubis	3–13	-0.08	13%	6 Jul →
inferno	10–13	-0.03	9%	6 Jul →
dust2	13–4	0.03	20%	6 Jul →
dust2	13–8	0.00	17%	6 Jul →
dust2	9–13	-0.03	7%	25 Jun →
mirage	15–15	-0.01	16%	25 Jun →
mirage	7–4	-0.00	16%	25 Jun →
mirage	13–11	0.03	29%	21 Jun →
mirage	8–13	0.01	20%	21 Jun →
dust2	10–13	0.03	22%	21 Jun →
mirage	13–3	0.17	24%	19 Jun →
dust2	6–13	-0.01	19%	19 Jun →
dust2	12–12	0.00	28%	19 Jun →
cache	12–12	0.06	12%	19 Jun →
mirage	8–13	-0.03	20%	17 Jun →
mirage	8–13	-0.09	14%	16 Jun →
dust2	13–9	0.08	13%	13 Jun →
mirage	13–7	0.12	28%	13 Jun →
dust2	4–13	-0.00	15%	12 Jun →
inferno	8–13	-0.00	21%	12 Jun →
dust2	12–12	0.06	21%	11 Jun →
dust2	8–13	-0.01	11%	11 Jun →
dust2	0–13	-0.07	14%	11 Jun →
mirage	6–13	-0.03	31%	11 Jun →
mirage	3–13	0.12	29%	11 Jun →
mirage	12–12	0.03	13%	10 Jun →
mirage	13–6	0.10	17%	10 Jun →
mirage	13–3	0.05	25%	10 Jun →
dust2	13–6	0.08	16%	10 Jun →
mirage	11–13	0.02	20%	10 Jun →
dust2	13–7	0.15	24%	10 Jun →
dust2	10–13	0.05	15%	8 Jun →
dust2	13–11	0.12	16%	8 Jun →
mirage	7–13	-0.02	29%	8 Jun →
inferno	13–5	0.08	19%	6 Jun →
dust2	13–10	0.11	19%	6 Jun →
mirage	11–2	0.13	20%	6 Jun →
mirage	13–3	0.11	17%	6 Jun →
cache	13–2	0.07	32%	6 Jun →
cache	13–3	0.07	28%	6 Jun →
cache	13–7	0.02	17%	6 Jun →
mirage	13–7	-0.02	16%	5 Jun →
inferno	13–4	0.08	17%	5 Jun →
dust2	5–13	0.00	16%	5 Jun →
dust2	9–13	-0.00	19%	5 Jun →
mirage	13–11	0.07	15%	3 Jun →
dust2	13–11	0.07	20%	3 Jun →
mirage	13–10	0.09	24%	3 Jun →
dust2	6–13	-0.03	16%	3 Jun →
mirage	13–9	0.01	10%	3 Jun →
cache	13–9	0.02	11%	3 Jun →
dust2	13–10	0.02	26%	3 Jun →
dust2	13–9	0.06	15%	3 Jun →
dust2	6–13	-0.01	20%	2 Jun →
dust2	13–11	0.02	15%	2 Jun →
dust2	13–8	0.15	20%	2 Jun →
dust2	13–11	0.11	20%	2 Jun →
mirage	4–13	-0.05	31%	2 Jun →
mirage	11–13	0.09	15%	29 May →
mirage	5–13	0.03	15%	29 May →
mirage	13–2	0.03	16%	27 May →
dust2	13–11	0.05	13%	27 May →
inferno	13–6	-0.01	27%	27 May →
cache	1–13	-0.03	15%	27 May →
dust2	11–13	0.02	20%	27 May →
mirage	13–5	0.15	25%	26 May →
mirage	13–5	0.02	13%	26 May →
mirage	5–13	-0.02	20%	26 May →
dust2	10–13	0.01	14%	25 May →
nuke	8–13	0.10	18%	25 May →
mirage	13–5	0.01	21%	25 May →
inferno	12–12	0.00	11%	25 May →
nuke	12–12	0.02	17%	22 May →
dust2	10–13	-0.05	6%	22 May →
overpass	13–4	0.06	17%	22 May →
inferno	12–12	0.01	16%	22 May →
dust2	10–13	-0.02	38%	20 May →
inferno	12–12	0.11	11%	20 May →
dust2	12–12	0.03	11%	20 May →
dust2	13–11	-0.02	10%	19 May →
nuke	9–13	0.13	21%	19 May →
mirage	8–13	0.07	29%	19 May →
cache	4–13	0.01	34%	18 May →
nuke	13–5	0.05	19%	18 May →
overpass	13–2	0.14	28%	18 May →
dust2	11–3	0.09	12%	17 May →
cache	13–10	0.02	17%	17 May →
inferno	13–2	-0.00	14%	16 May →
dust2	11–13	0.05	23%	16 May →
cache	13–11	0.01	20%	15 May →
dust2	13–6	0.01	21%	15 May →