Hemulitäti — CS2 Stats

76561198075922069[U:1:115656341]

1,480Tracked matches54%Win rate2020Tracked since

CSDB Rating4.9 Developing

Premier CS Rating21,553Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

FaceitLevel 8 · 1,604 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateTWWWLWLLWW

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

Player DNA

Aim4.9

Aggression5.5

Utility4.8

Positioning4.8

Opening Duels2.2

Clutch3.8

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 NiKo 83% playstyle similarity

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

Where you differ: lower utility contribution; 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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim4.9

Positioning4.8

Utility4.8

Mechanics5.3

Opening Duels2.7

Win Impact6.3

Composite 4.9/10 (Developing), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time577ms−29ms

first ⅓ avg 606ms → last ⅓ avg 577ms

Headshot accuracy15.0%+3.3%

first ⅓ avg 11.6% → last ⅓ avg 15.0%

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

0.10Best rating — dust2 13–3

13–1Biggest win — nuke

8Longest win streak

10–7In matches decided by ≤2 rounds

17Overtime games

Map breakdown

mirageBest map · 72% over 18cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	19	13–6	68%	-0.01
mirage	S	18	13–5	72%	0.00
dust2	C	16	6–10	38%	-0.01
nuke	A	13	8–5	62%	-0.00
ancient	C	9	4–5	44%	-0.01
anubis	A	9	5–4	56%	-0.00
overpass	A	7	4–3	57%	0.01
cache	D	5	1–4	20%	-0.05
sanctum	—	1	0–1	0%	-0.07
poseidon	—	1	0–1	0%	-0.03
stronghold	—	1	0–1	0%	-0.09
italy	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

260Matches

54%Win rate

1.17Avg K/D

82.1ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

31%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	46	59%	1.12	16.1
Inferno	45	78%	1.32	18.2
Mirage	36	44%	0.97	15.1
Dust2	27	59%	1.42	15.2
Ancient	26	38%	1.00	16.7
Anubis	22	45%	1.11	18.2
Overpass	13	54%	1.36	16.0
Train	8	50%	1.30	15.9

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.

14.9%Headshot accuracy

29.2%Accuracy (enemy spotted)

37.7%Spray accuracy

73.8%Counter-strafing

11.3°Preaim

579msReaction time

25.8%T opening success

51.6%CT opening success

0.57Enemies flashed / flash

4.0%Flash assists

5.12HE damage / grenade

10.40Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.9376% — below the 15% mark we flag
Aim Training →
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 25.8132% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	15–15	-0.01	9%	29 Aug →
ancient	13–7	-0.09	16%	27 Aug →
cache	13–9	0.00	20%	27 Aug →
inferno	13–7	0.04	15%	25 Aug →
mirage	5–13	-0.05	28%	25 Aug →
mirage	13–7	-0.02	18%	24 Aug →
dust2	13–16	-0.06	9%	24 Aug →
dust2	4–13	0.03	17%	21 Aug →
mirage	13–10	0.01	20%	21 Aug →
inferno	16–12	0.03	17%	21 Aug →
inferno	13–11	0.01	16%	20 Aug →
ancient	13–9	0.02	20%	18 Aug →
cache	11–13	-0.01	13%	18 Aug →
dust2	7–13	-0.03	12%	18 Aug →
cache	15–15	-0.07	19%	18 Aug →
inferno	13–9	-0.03	11%	11 Aug →
cache	1–13	-0.14	13%	11 Aug →
inferno	13–11	-0.00	10%	6 Aug →
anubis	15–15	-0.06	10%	4 Jul →
overpass	13–11	-0.01	14%	24 Jun →
mirage	13–10	-0.05	16%	24 Jun →
anubis	13–7	-0.00	14%	24 Jun →
mirage	15–15	-0.05	19%	22 Jun →
nuke	10–13	-0.03	14%	22 Jun →
anubis	3–13	0.00	28%	22 Jun →
overpass	6–13	-0.07	10%	31 May →
dust2	10–13	-0.01	7%	31 May →
mirage	10–13	-0.02	15%	31 May →
nuke	13–6	0.08	10%	13 May →
cache	5–13	-0.02	15%	13 May →
overpass	16–14	0.01	10%	29 Mar →
inferno	13–4	-0.03	16%	28 Mar →
nuke	13–11	-0.02	13%	28 Mar →
inferno	13–11	-0.01	20%	28 Mar →
ancient	13–11	0.02	8%	28 Mar →
anubis	13–5	0.00	13%	27 Mar →
nuke	13–7	0.06	13%	27 Mar →
nuke	13–6	0.00	15%	27 Mar →
inferno	3–13	-0.00	12%	27 Mar →
sanctum	5–9	-0.07	24%	27 Mar →
poseidon	7–9	-0.03	14%	27 Mar →
mirage	13–8	0.02	16%	18 Mar →
inferno	9–13	-0.03	12%	18 Mar →
mirage	13–8	0.07	15%	15 Mar →
mirage	13–9	-0.00	10%	12 Mar →
dust2	13–11	0.03	16%	12 Mar →
nuke	14–16	-0.01	14%	10 Mar →
inferno	11–13	-0.00	15%	8 Mar →
overpass	15–15	0.03	7%	4 Mar →
ancient	4–13	-0.06	18%	4 Mar →
inferno	13–7	-0.03	8%	4 Mar →
dust2	13–9	-0.04	19%	27 Feb →
anubis	13–5	-0.01	11%	19 Feb →
mirage	13–9	0.04	13%	18 Feb →
stronghold	5–13	-0.09	27%	17 Feb →
italy	11–13	0.01	16%	17 Feb →
nuke	16–12	-0.06	9%	17 Feb →
inferno	13–9	-0.00	13%	17 Feb →
mirage	13–6	0.06	18%	16 Feb →
dust2	6–13	-0.05	12%	16 Feb →
nuke	8–13	0.03	12%	16 Feb →
dust2	13–3	0.10	5%	16 Feb →
mirage	15–15	0.01	13%	15 Feb →
mirage	16–14	0.05	13%	15 Feb →
nuke	13–8	-0.01	10%	15 Feb →
overpass	13–8	0.09	8%	15 Feb →
ancient	13–6	0.05	8%	15 Feb →
nuke	4–13	-0.12	0%	15 Feb →
mirage	13–6	0.07	7%	11 Feb →
dust2	13–2	0.08	18%	11 Feb →
nuke	9–13	-0.01	12%	11 Feb →
overpass	13–5	-0.01	11%	11 Feb →
inferno	8–13	-0.01	17%	11 Feb →
ancient	6–13	-0.03	13%	11 Feb →
inferno	13–7	0.02	21%	11 Feb →
inferno	12–16	-0.01	17%	10 Feb →
dust2	10–13	-0.04	13%	10 Feb →
dust2	13–16	-0.03	20%	10 Feb →
overpass	6–13	-0.01	22%	10 Feb →
dust2	13–3	0.01	18%	9 Feb →
ancient	10–13	-0.02	20%	9 Feb →
mirage	13–11	-0.01	10%	9 Feb →
mirage	13–7	-0.03	6%	9 Feb →
anubis	5–13	-0.05	8%	9 Feb →
mirage	13–16	-0.03	8%	9 Feb →
dust2	14–16	-0.05	11%	9 Feb →
inferno	13–9	-0.02	9%	9 Feb →
inferno	13–5	0.06	7%	3 Feb →
nuke	13–10	-0.00	7%	3 Feb →
anubis	11–13	0.05	12%	2 Feb →
dust2	9–13	-0.09	12%	31 Jan →
inferno	2–13	-0.07	9%	31 Jan →
dust2	4–13	-0.04	5%	30 Jan →
mirage	13–8	-0.01	9%	30 Jan →
anubis	13–10	0.06	11%	29 Jan →
inferno	13–5	-0.01	10%	29 Jan →
ancient	8–13	-0.02	7%	27 Jan →
nuke	13–1	0.02	20%	27 Jan →
anubis	16–13	-0.02	9%	27 Jan →
dust2	13–2	-0.00	7%	27 Jan →