Kingslyaer — CS2 Stats

76561198269200713[U:1:308934985]Steam profile ↗✓ No bans

1,597Tracked matches57%Win rate2021Tracked since

2,330Hours in CS7Hrs last 2 wks

CSDB Rating6.6 SolidEntry Fragger

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim68

Positioning71

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–37–9Last 10054%Win rateLLWWWWLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.8

Aggression9.4

Utility6.5

Positioning7.1

Opening Duels6.0

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 sh1ro 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: higher opening-duel success; 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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 567ms 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

Aim6.8

Positioning7.1

Utility6.5

Mechanics5.7

Opening Duels6.0

Win Impact7.4

Composite 6.6/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time573ms+7ms

first ⅓ avg 566ms → last ⅓ avg 573ms

Headshot accuracy19.2%−2.5%

first ⅓ avg 21.6% → last ⅓ avg 19.2%

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

0.20Best rating — overpass 13–2

13–0Biggest win — train

8Longest win streak

L2Current streak

5–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 80% over 15mirageWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	15	7–8	47%	0.02
dust2	S	15	12–3	80%	0.06
nuke	C	12	5–7	42%	0.02
cache	S	10	7–3	70%	0.06
ancient	S	9	6–3	67%	0.01
mirage	D	9	3–6	33%	0.02
anubis	C	8	3–5	38%	0.06
vertigo	A	7	4–3	57%	0.05
train	S	6	4–2	67%	0.06
overpass	—	4	2–2	50%	0.07
office	—	2	0–2	0%	0.04
fachwerk	—	1	0–1	0%	0.03
boulder	—	1	1–0	100%	-0.06
shelter	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,695Lifetime kills

1.62K/D · Top 5% of tracked players

3,138Matches

52.7%Match win rate · Top 25% of tracked players

48.1%Headshot % · Top 50% of tracked players

11.3%Shot accuracy

10,491MVPs

1,133Hours (in match)

3,631Bombs planted

1,150Bombs defused

Most-used weapons

AK-4719,006

M4A4 / M4A1-S10,734

AWP7,377

Desert Eagle5,610

P2000 / USP-S3,412

Glock-182,397

AUG1,934

MP91,871

SSG 081,851

Galil AR1,819

Lifetime map wins

6,316dust2

2,952inferno

2,536nuke

1,444vertigo

842train

392office

281cbble

167lake

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

Faceit stats

Combat

2Matches

50%Win rate

0.68Avg K/D

—ADR

25%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

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.

19.5%Headshot accuracy

34.6%Accuracy (enemy spotted)

38.0%Spray accuracy

75.8%Counter-strafing

10.7°Preaim

567msReaction time

47.5%T opening success

60.3%CT opening success

0.58Enemies flashed / flash

7.1%Flash assists

14.06HE damage / grenade

17.27Flashes / match

Recommended for you

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.06	24%	27 Aug →
inferno	10–13	0.06	26%	26 Aug →
cache	13–8	0.08	11%	26 Aug →
dust2	13–6	0.01	16%	26 Aug →
anubis	13–7	0.14	22%	26 Aug →
dust2	13–9	0.04	22%	24 Aug →
vertigo	4–13	0.05	17%	24 Aug →
nuke	13–9	-0.02	13%	19 Aug →
dust2	13–6	0.11	25%	19 Aug →
anubis	6–13	0.02	26%	19 Aug →
nuke	8–13	-0.01	20%	19 Aug →
dust2	13–8	0.04	19%	9 Aug →
office	9–13	0.08	21%	8 Aug →
inferno	13–8	-0.04	15%	7 Aug →
dust2	13–6	0.13	23%	7 Aug →
cache	7–13	-0.03	26%	4 Aug →
anubis	12–12	0.07	17%	4 Aug →
inferno	13–6	0.05	17%	3 Aug →
ancient	13–4	-0.04	8%	3 Aug →
ancient	13–6	0.10	13%	2 Aug →
nuke	9–13	0.03	19%	2 Aug →
vertigo	13–5	0.06	31%	2 Aug →
vertigo	11–13	0.03	14%	1 Aug →
dust2	8–13	0.05	21%	1 Aug →
mirage	10–13	0.05	24%	30 Jul →
nuke	13–5	-0.00	13%	30 Jul →
ancient	6–5	-0.08	16%	27 Jul →
mirage	3–13	0.02	18%	26 Jul →
nuke	12–12	0.07	25%	25 Jul →
vertigo	13–10	0.05	19%	25 Jul →
dust2	13–6	0.07	21%	24 Jul →
cache	11–13	0.02	13%	24 Jul →
mirage	6–13	-0.01	17%	24 Jul →
inferno	2–10	-0.04	7%	24 Jul →
train	12–12	0.14	25%	23 Jul →
overpass	13–2	0.20	22%	23 Jul →
mirage	12–12	0.04	12%	22 Jul →
anubis	13–5	0.05	19%	22 Jul →
mirage	13–11	0.05	15%	20 Jul →
nuke	13–10	0.10	22%	20 Jul →
inferno	9–13	0.01	18%	19 Jul →
anubis	13–11	0.07	11%	19 Jul →
nuke	13–6	0.01	38%	16 Jul →
inferno	13–6	0.01	24%	13 Jul →
train	13–0	0.07	18%	12 Jul →
nuke	6–12	0.04	24%	12 Jul →
anubis	11–13	0.09	15%	11 Jul →
vertigo	12–12	0.07	29%	11 Jul →
nuke	9–13	0.05	17%	11 Jul →
inferno	5–13	0.02	29%	11 Jul →
vertigo	13–10	-0.01	23%	10 Jul →
cache	13–1	0.03	20%	10 Jul →
mirage	13–5	0.06	19%	10 Jul →
ancient	13–8	0.08	13%	10 Jul →
fachwerk	8–13	0.03	22%	10 Jul →
mirage	7–13	-0.01	18%	9 Jul →
dust2	13–6	0.15	18%	9 Jul →
boulder	13–7	-0.06	23%	9 Jul →
shelter	8–13	0.03	24%	8 Jul →
cache	13–8	0.07	23%	8 Jul →
inferno	12–12	0.02	24%	7 Jul →
overpass	13–7	0.05	13%	7 Jul →
inferno	13–8	0.10	20%	6 Jul →
ancient	8–13	0.01	23%	3 Jul →
anubis	11–13	0.02	13%	3 Jul →
nuke	13–10	-0.02	16%	3 Jul →
cache	13–9	0.07	26%	2 Jul →
vertigo	13–7	0.13	23%	2 Jul →
train	13–1	0.09	13%	2 Jul →
dust2	13–8	0.01	25%	2 Jul →
cache	13–2	0.15	26%	30 Jun →
ancient	13–11	0.05	25%	30 Jun →
dust2	13–3	0.03	28%	30 Jun →
mirage	12–12	0.01	25%	27 Jun →
dust2	13–7	0.14	26%	27 Jun →
nuke	9–13	0.06	23%	26 Jun →
inferno	13–5	-0.02	16%	24 Jun →
cache	13–2	0.03	26%	24 Jun →
train	13–9	0.03	22%	22 Jun →
inferno	13–6	0.09	17%	22 Jun →
dust2	13–11	0.05	15%	22 Jun →
inferno	4–13	-0.10	6%	21 Jun →
inferno	13–3	0.12	25%	21 Jun →
ancient	3–13	0.02	12%	19 Jun →
train	13–7	0.03	39%	19 Jun →
dust2	3–13	-0.07	19%	19 Jun →
nuke	12–12	-0.03	26%	19 Jun →
dust2	13–8	0.10	12%	18 Jun →
ancient	0–5	-0.05	29%	18 Jun →
overpass	8–13	-0.02	13%	18 Jun →
mirage	13–10	-0.02	15%	14 Jun →
ancient	13–10	-0.01	20%	12 Jun →
dust2	12–12	0.09	22%	7 Jun →
cache	4–13	0.08	25%	7 Jun →
train	2–13	-0.02	26%	7 Jun →
inferno	8–13	0.01	19%	3 Jun →
office	7–3	-0.01	19%	3 Jun →
anubis	9–13	-0.02	18%	3 Jun →
cache	13–9	0.06	22%	2 Jun →
overpass	7–13	0.05	38%	2 Jun →