sHOWtEK-v41 — CS2 Stats

76561198009838651[U:1:49572923]Steam profile ↗✓ No bans

4,499Tracked matches50%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 9 · 2,288 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76

Positioning53

Utility82

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateWLWLWLLLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim7.6

Aggression7.7

Utility8.2

Positioning5.3

Opening Duels2.7

Clutch4.0

Strong CT-side openerEffective flashesHigh utility contribution

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 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim7.6

Positioning5.3

Utility8.2

Mechanics7.8

Opening Duels2.7

Win Impact5.0

Composite 6.5/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time651ms+26ms

first ⅓ avg 626ms → last ⅓ avg 651ms

Headshot accuracy17.1%+1.0%

first ⅓ avg 16.0% → last ⅓ avg 17.1%

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

0.14Best rating — ancient 13–9

13–0Biggest win — cache

4Longest win streak

6–15In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 53% over 19infernoWeakest map · 38% over 26

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	10–16	38%	0.01
ancient	C	19	8–11	42%	0.01
dust2	B	19	10–9	53%	0.02
anubis	B	12	6–6	50%	0.01
nuke	B	11	5–6	45%	0.00
mirage	—	4	0–4	0%	0.01
overpass	—	4	1–3	25%	-0.01
cache	—	4	2–2	50%	0.04
vertigo	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,846Matches

50%Win rate

1.11Avg K/D

82.6ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	441	46%	1.05	15.5
Dust2	414	51%	1.13	16.4
Anubis	318	52%	1.05	16.4
Mirage	305	45%	1.05	16.4
Ancient	303	51%	1.07	16.0
Nuke	132	54%	1.05	16.3
Vertigo	94	57%	1.15	16.5
Overpass	90	52%	1.10	15.5

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.

17.3%Headshot accuracy

41.5%Accuracy (enemy spotted)

36.3%Spray accuracy

84.9%Counter-strafing

10.5°Preaim

623msReaction time

30.5%T opening success

51.3%CT opening success

0.80Enemies flashed / flash

12.7%Flash assists

13.44HE damage / grenade

25.13Flashes / 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 30.4559% — 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.

38% win rate across 26 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
ancient	13–7	0.05	26%	21 Aug →
inferno	5–13	0.01	19%	20 Aug →
ancient	13–9	0.14	14%	20 Aug →
inferno	11–13	0.04	19%	20 Aug →
dust2	13–10	-0.03	22%	19 Aug →
mirage	6–13	0.03	10%	19 Aug →
ancient	14–16	-0.02	16%	16 Aug →
dust2	8–13	-0.02	13%	16 Aug →
inferno	19–16	0.01	24%	13 Aug →
nuke	13–11	0.01	11%	12 Aug →
inferno	13–11	0.02	12%	12 Aug →
ancient	9–13	0.01	19%	11 Aug →
anubis	13–9	0.01	28%	11 Aug →
anubis	9–13	0.03	13%	11 Aug →
ancient	11–13	-0.05	13%	23 Jul →
nuke	13–9	0.05	22%	23 Jul →
ancient	6–13	-0.10	17%	22 Jul →
dust2	9–13	0.00	9%	22 Jul →
vertigo	0–9	-0.10	0%	19 Jul →
anubis	10–13	0.03	21%	17 Jul →
ancient	11–13	0.05	11%	17 Jul →
anubis	13–8	0.04	16%	15 Jul →
ancient	11–13	0.03	18%	14 Jul →
inferno	13–10	0.02	14%	13 Jul →
dust2	13–10	0.09	29%	13 Jul →
inferno	14–16	0.03	18%	8 Jul →
ancient	13–5	0.07	11%	6 Jul →
inferno	13–10	-0.00	21%	6 Jul →
dust2	11–13	0.02	14%	6 Jul →
dust2	13–6	0.11	26%	6 Jul →
ancient	13–8	0.01	11%	5 Jul →
nuke	4–13	-0.04	20%	2 Jul →
inferno	10–13	0.05	25%	26 Jun →
anubis	19–17	-0.01	12%	22 Jun →
inferno	7–13	-0.03	10%	14 Jun →
overpass	13–6	-0.02	15%	14 Jun →
inferno	11–13	0.01	25%	14 Jun →
nuke	13–10	-0.01	17%	12 Jun →
overpass	11–13	-0.03	15%	12 Jun →
ancient	8–13	-0.02	24%	11 Jun →
inferno	13–1	0.03	19%	11 Jun →
dust2	6–13	-0.10	11%	11 Jun →
inferno	6–13	-0.03	26%	9 Jun →
inferno	19–16	0.04	23%	9 Jun →
ancient	10–13	-0.03	10%	4 Jun →
dust2	13–9	0.02	17%	28 May →
dust2	19–17	0.06	17%	27 May →
ancient	8–13	-0.04	12%	27 May →
inferno	9–13	0.01	11%	22 May →
dust2	9–13	0.01	17%	22 May →
overpass	13–16	0.03	27%	20 May →
inferno	7–13	-0.08	24%	13 May →
dust2	13–6	-0.00	15%	13 May →
inferno	13–10	0.04	20%	13 May →
cache	13–6	0.04	4%	12 May →
dust2	11–13	-0.02	15%	12 May →
dust2	7–13	-0.01	20%	12 May →
mirage	8–13	0.02	13%	11 May →
mirage	5–13	0.02	17%	11 May →
ancient	13–10	-0.02	8%	11 May →
dust2	13–10	-0.00	16%	10 May →
nuke	13–10	0.01	24%	6 May →
cache	13–0	0.04	14%	3 May →
cache	11–13	0.01	20%	3 May →
cache	9–13	0.08	17%	2 May →
mirage	8–13	-0.04	16%	26 Apr →
anubis	11–13	0.02	27%	4 Mar →
overpass	10–13	-0.02	22%	27 Feb →
anubis	11–13	-0.02	25%	27 Feb →
dust2	13–9	0.05	34%	26 Feb →
dust2	13–10	0.02	15%	22 Feb →
inferno	8–13	-0.00	13%	22 Feb →
anubis	13–6	0.00	16%	21 Feb →
inferno	13–9	-0.01	23%	21 Feb →
inferno	6–13	-0.00	15%	21 Feb →
ancient	16–14	0.02	14%	20 Feb →
ancient	6–13	-0.02	8%	19 Feb →
nuke	11–13	-0.01	16%	19 Feb →
anubis	8–13	-0.00	12%	19 Feb →
dust2	10–13	-0.04	29%	19 Feb →
inferno	13–10	0.01	8%	18 Feb →
inferno	11–13	-0.04	18%	15 Feb →
ancient	22–19	0.05	13%	12 Feb →
inferno	7–13	0.02	9%	10 Feb →
ancient	6–13	0.01	12%	10 Feb →
inferno	2–13	0.04	14%	10 Feb →
nuke	10–13	0.01	17%	10 Feb →
anubis	2–13	-0.06	10%	8 Feb →
nuke	13–10	0.04	17%	7 Feb →
nuke	10–13	-0.02	22%	7 Feb →
inferno	7–13	-0.05	9%	6 Feb →
anubis	13–8	0.02	21%	6 Feb →
inferno	8–13	-0.01	10%	6 Feb →
nuke	5–9	-0.03	18%	5 Feb →
nuke	9–13	0.01	23%	4 Feb →
dust2	13–1	0.07	10%	4 Feb →
ancient	13–5	-0.01	14%	4 Feb →
dust2	8–13	0.06	20%	4 Feb →
anubis	13–11	0.07	9%	4 Feb →
inferno	13–9	0.06	14%	4 Feb →