[asked.] ☠StiLgarシ — CS2 Stats

76561199226608301[U:1:1266342573]

988Tracked matches50%Win rate2023Tracked since

1,503Hours in CS17Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim72

Positioning48

Utility55

0–100 skill scores via Leetify.

Recent form

HOT47–49–4Last 10047%Win rateLWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.2

Aggression6.0

Utility5.5

Positioning4.8

Opening Duels2.5

Clutch4.0

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 89% 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 →

CSDB Rating breakdown

Aim7.2

Positioning4.8

Utility5.5

Mechanics5.3

Opening Duels2.5

Win Impact5.0

Composite 5.5/10 (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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time539ms−60ms

first ⅓ avg 599ms → last ⅓ avg 539ms

Headshot accuracy21.2%+2.0%

first ⅓ avg 19.3% → last ⅓ avg 21.2%

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

0.11Best rating — ancient 8–13

13–3Biggest win — cache

5Longest win streak

13–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 80% over 10ancientWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	22	15–7	68%	-0.02
mirage	D	21	7–14	33%	-0.03
ancient	D	13	2–11	15%	-0.02
anubis	A	12	7–5	58%	-0.01
cache	C	10	4–6	40%	-0.02
overpass	S	10	8–2	80%	-0.02
nuke	B	6	3–3	50%	-0.00
dust2	—	3	1–2	33%	-0.00
vertigo	—	2	0–2	0%	-0.01
office	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,467Lifetime kills

0.93K/D

1,953Matches

43.9%Match win rate

48.5%Headshot % · Top 50% of tracked players

0.2%Shot accuracy

3,855MVPs

838Hours (in match)

2,020Bombs planted

455Bombs defused

Most-used weapons

AK-479,687

M4A4 / M4A1-S5,871

AWP3,489

Desert Eagle2,058

Galil AR1,753

P2000 / USP-S1,528

Glock-181,360

MP91,189

MAC-101,186

FAMAS755

Lifetime map wins

3,474inferno

2,173nuke

1,381vertigo

973dust2

193train

71office

6ar_shoots

5ar_baggage

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

Faceit stats

Combat

385Matches

50%Win rate

1.01Avg K/D

77.0ADR

48%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	97	53%	1.11	15.4
Mirage	87	43%	0.90	13.7
Inferno	70	59%	0.96	14.1
Ancient	60	45%	0.97	15.0
Dust2	23	61%	1.43	14.2
Nuke	22	41%	0.87	12.8
Overpass	10	50%	0.72	9.4
Cache	7	71%	1.25	14.7

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.

21.2%Headshot accuracy

33.5%Accuracy (enemy spotted)

33.8%Spray accuracy

73.8%Counter-strafing

9.0°Preaim

542msReaction time

36.3%T opening success

44.0%CT opening success

0.62Enemies flashed / flash

2.5%Flash assists

9.60HE damage / grenade

7.36Flashes / 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 36.3431% — below the 40% mark we flag

Spend your practice time on Ancient

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.07	7%	28 Aug →
inferno	13–10	-0.01	21%	28 Aug →
mirage	13–7	0.05	15%	7 Aug →
mirage	13–11	-0.01	17%	7 Aug →
inferno	13–11	0.04	17%	6 Aug →
cache	13–3	-0.03	27%	29 Jul →
cache	10–13	-0.06	24%	20 Jul →
ancient	11–13	-0.05	15%	20 Jul →
anubis	13–11	-0.01	12%	20 Jul →
mirage	13–11	0.01	37%	20 Jul →
inferno	11–13	-0.02	15%	19 Jul →
mirage	7–13	-0.06	15%	19 Jul →
anubis	5–13	-0.07	6%	10 Jul →
cache	5–13	-0.05	21%	7 Jul →
cache	13–7	0.07	23%	7 Jul →
cache	9–13	-0.02	20%	7 Jul →
inferno	13–5	-0.02	23%	6 Jul →
inferno	13–6	-0.05	18%	6 Jul →
ancient	6–13	-0.03	21%	27 Jun →
nuke	13–6	0.04	40%	27 Jun →
nuke	3–13	-0.08	50%	26 Jun →
mirage	11–13	-0.01	19%	24 Jun →
inferno	13–10	-0.00	19%	24 Jun →
inferno	13–7	0.08	15%	24 Jun →
mirage	15–15	-0.01	33%	24 Jun →
office	6–13	-0.11	0%	22 Jun →
cache	12–12	-0.02	30%	21 Jun →
overpass	13–4	-0.04	29%	13 Jun →
ancient	9–13	-0.04	24%	9 Jun →
inferno	5–13	-0.11	22%	8 Jun →
anubis	11–13	-0.03	25%	8 Jun →
vertigo	6–13	-0.03	16%	8 Jun →
anubis	10–13	-0.01	26%	7 Jun →
mirage	16–14	-0.01	15%	7 Jun →
overpass	13–5	-0.04	14%	7 Jun →
inferno	13–8	-0.01	25%	7 Jun →
inferno	5–13	-0.07	9%	7 Jun →
vertigo	6–13	0.01	14%	7 Jun →
overpass	13–11	0.04	15%	7 Jun →
nuke	11–13	-0.04	16%	6 Jun →
inferno	11–13	-0.01	21%	6 Jun →
mirage	3–13	-0.02	23%	6 Jun →
mirage	13–9	-0.06	30%	6 Jun →
mirage	11–13	-0.01	25%	6 Jun →
anubis	10–1	0.04	33%	6 Jun →
inferno	13–4	-0.02	13%	6 Jun →
nuke	13–4	0.10	26%	6 Jun →
ancient	16–14	0.00	11%	6 Jun →
dust2	9–13	-0.02	38%	6 Jun →
anubis	16–14	-0.02	24%	5 Jun →
inferno	13–3	-0.06	20%	5 Jun →
mirage	15–15	-0.03	18%	4 Jun →
anubis	8–13	-0.08	21%	4 Jun →
overpass	13–4	0.00	13%	4 Jun →
overpass	13–4	0.02	22%	4 Jun →
mirage	5–13	-0.05	24%	4 Jun →
mirage	13–4	-0.02	18%	3 Jun →
inferno	11–13	-0.00	24%	3 Jun →
overpass	16–13	-0.08	17%	3 Jun →
anubis	13–6	0.05	27%	1 Jun →
inferno	13–5	0.00	20%	1 Jun →
mirage	10–13	-0.04	21%	1 Jun →
anubis	13–11	-0.01	21%	1 Jun →
mirage	5–13	-0.03	23%	31 May →
mirage	9–13	-0.05	15%	31 May →
inferno	13–6	0.00	9%	31 May →
ancient	8–13	0.11	35%	31 May →
inferno	5–13	-0.07	18%	31 May →
overpass	9–13	-0.03	14%	30 May →
mirage	16–14	-0.05	22%	30 May →
mirage	11–13	0.02	24%	30 May →
cache	7–13	-0.06	29%	30 May →
ancient	6–13	-0.03	22%	30 May →
cache	12–12	-0.01	17%	30 May →
inferno	8–13	-0.03	16%	30 May →
ancient	7–13	-0.02	15%	30 May →
ancient	4–13	-0.07	13%	30 May →
overpass	13–6	-0.01	23%	30 May →
ancient	3–13	0.01	18%	29 May →
nuke	3–13	-0.02	18%	29 May →
cache	13–9	-0.07	14%	29 May →
dust2	11–13	0.03	24%	29 May →
nuke	16–14	-0.04	33%	29 May →
inferno	16–13	-0.05	15%	28 May →
ancient	11–13	-0.08	16%	28 May →
anubis	13–4	-0.01	12%	28 May →
ancient	13–7	0.03	12%	28 May →
overpass	13–11	-0.01	20%	28 May →
mirage	10–13	-0.06	22%	28 May →
inferno	13–4	0.01	19%	28 May →
anubis	13–4	0.01	11%	28 May →
overpass	9–13	-0.01	19%	28 May →
dust2	13–11	-0.02	18%	28 May →
ancient	14–16	0.02	27%	28 May →
anubis	12–16	-0.03	15%	28 May →
inferno	13–5	0.03	28%	27 May →
ancient	8–13	-0.08	21%	27 May →
inferno	13–10	-0.05	17%	27 May →
cache	13–8	0.00	16%	26 May →
mirage	9–13	-0.02	30%	26 May →