Keyjin — CS2 Stats

AU76561198000285493[U:1:40019765]Steam profile ↗✓ No bans

413Tracked matches34%Win rate2020Tracked since

658Hours in CS

CSDB Rating6.0 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim88

Positioning66

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY30–66–4Last 10030%Win rateLLLLWLWTWW

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

Player DNA

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

Aim8.8

Aggression9.2

Utility3.0

Positioning6.6

Opening Duels3.8

Sharp aimerLimited utility dependence

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 jL 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8

Positioning6.6

Utility3.0

Mechanics8.3

Opening Duels3.8

Win Impact0.0

Composite 6.0/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time535ms−27ms

first ⅓ avg 563ms → last ⅓ avg 535ms

Headshot accuracy24.8%+3.0%

first ⅓ avg 21.8% → last ⅓ avg 24.8%

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 13–1

13–1Biggest win — overpass

4Longest win streak

L4Current streak

5–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 50% over 28ancientWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	14–14	50%	0.05
inferno	D	25	5–20	20%	0.02
mirage	D	16	3–13	19%	0.00
overpass	D	16	5–11	31%	0.02
ancient	D	11	1–10	9%	0.01
anubis	—	2	0–2	0%	0.04
italy	—	1	1–0	100%	0.08
office	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,983Lifetime kills

1.12K/D · Top 50% of tracked players

1,826Matches

31.4%Match win rate

46.9%Headshot % · Top 50% of tracked players

14.1%Shot accuracy · Top 50% of tracked players

3,131MVPs

658Hours (in match)

868Bombs planted

339Bombs defused

Most-used weapons

AK-4716,782

M4A4 / M4A1-S10,159

Desert Eagle2,900

AWP1,892

P2000 / USP-S1,527

Glock-181,097

SSG 08933

P250808

FAMAS579

Galil AR567

Lifetime map wins

5,770dust2

2,483inferno

458nuke

175train

76vertigo

52cbble

50office

37dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.1%Spray accuracy

87.4%Counter-strafing

8.1°Preaim

538msReaction time

42.3%T opening success

48.0%CT opening success

0.43Enemies flashed / flash

4.7%Flash assists

8.20HE damage / grenade

3.91Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4286 — below the 0.5 mark we flag
Grenade Lineups →

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.

9% win rate across 11 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
ancient	3–13	-0.04	23%	23 Jun →
dust2	8–13	0.01	27%	23 Jun →
ancient	12–16	0.03	23%	19 May →
inferno	3–13	0.05	22%	19 May →
mirage	13–9	0.01	46%	17 May →
dust2	7–13	0.08	21%	17 May →
inferno	13–6	0.12	21%	14 May →
dust2	15–15	0.04	34%	10 May →
dust2	13–9	0.11	37%	28 Apr →
dust2	13–8	0.06	28%	27 Apr →
inferno	12–16	0.04	25%	27 Apr →
inferno	13–9	0.11	29%	27 Apr →
mirage	7–13	-0.00	31%	27 Apr →
overpass	10–13	-0.02	33%	26 Apr →
mirage	8–13	0.03	18%	26 Apr →
overpass	14–16	0.04	22%	24 Apr →
mirage	8–13	0.01	19%	24 Apr →
mirage	13–4	0.06	27%	24 Apr →
dust2	9–13	0.06	22%	24 Apr →
inferno	10–13	0.02	34%	24 Apr →
inferno	1–13	-0.06	19%	20 Apr →
mirage	1–13	-0.05	13%	20 Apr →
dust2	8–13	0.02	33%	15 Apr →
dust2	13–9	0.05	16%	15 Apr →
mirage	13–9	0.06	34%	14 Apr →
inferno	16–14	0.06	24%	14 Apr →
overpass	13–7	0.09	16%	13 Apr →
mirage	4–13	-0.03	10%	13 Apr →
mirage	9–13	0.00	20%	11 Apr →
anubis	7–13	0.07	27%	11 Apr →
inferno	8–13	-0.01	26%	11 Apr →
inferno	0–13	-0.05	17%	6 Apr →
ancient	10–13	0.05	23%	6 Apr →
mirage	3–13	0.01	14%	5 Apr →
overpass	13–9	0.08	20%	5 Apr →
inferno	7–13	-0.01	23%	4 Apr →
mirage	6–13	-0.02	18%	4 Apr →
overpass	8–13	0.03	16%	4 Apr →
overpass	15–15	0.03	28%	4 Apr →
mirage	11–13	0.06	31%	4 Apr →
ancient	0–13	-0.11	15%	2 Apr →
dust2	15–15	0.04	25%	2 Apr →
overpass	8–13	-0.00	23%	2 Apr →
dust2	13–9	0.09	32%	1 Apr →
mirage	6–13	-0.05	18%	1 Apr →
inferno	10–13	-0.02	23%	1 Apr →
dust2	16–14	0.04	20%	31 Mar →
inferno	5–13	0.05	31%	31 Mar →
ancient	10–13	0.05	29%	31 Mar →
dust2	11–13	0.02	23%	25 Mar →
dust2	13–11	0.04	28%	23 Mar →
dust2	14–16	0.10	20%	19 Mar →
dust2	13–11	0.10	26%	16 Mar →
overpass	13–2	0.06	23%	16 Mar →
mirage	7–13	0.05	35%	15 Mar →
inferno	13–10	0.10	34%	15 Mar →
dust2	7–13	0.06	29%	14 Mar →
overpass	13–1	0.20	28%	14 Mar →
inferno	13–10	0.01	21%	14 Mar →
ancient	5–13	-0.02	13%	11 Mar →
inferno	7–13	0.03	20%	1 Feb →
dust2	13–9	0.12	26%	1 Feb →
dust2	16–14	0.01	18%	1 Feb →
dust2	15–15	0.05	28%	31 Jan →
ancient	7–13	0.00	23%	26 Jan →
overpass	13–10	-0.01	28%	26 Jan →
inferno	12–16	-0.01	17%	24 Jan →
italy	13–8	0.08	35%	20 Jan →
anubis	7–13	0.01	23%	20 Jan →
office	13–8	0.08	21%	20 Jan →
inferno	9–13	0.08	23%	19 Jan →
dust2	9–13	0.01	23%	19 Jan →
dust2	13–9	0.06	16%	19 Jan →
dust2	2–13	0.04	32%	8 Jan →
inferno	10–13	-0.01	35%	8 Jan →
overpass	3–13	-0.02	17%	8 Jan →
ancient	13–10	0.04	28%	7 Jan →
overpass	4–13	0.02	20%	7 Jan →
inferno	5–13	-0.00	24%	5 Jan →
inferno	10–13	-0.01	23%	5 Jan →
inferno	10–13	0.09	34%	4 Jan →
dust2	6–13	0.02	26%	4 Jan →
ancient	10–13	0.07	14%	4 Jan →
dust2	13–8	0.05	23%	4 Jan →
inferno	10–13	0.00	31%	4 Jan →
mirage	1–13	-0.07	11%	4 Jan →
dust2	5–13	0.01	33%	4 Jan →
inferno	9–13	-0.02	20%	1 Jan →
dust2	13–5	0.00	20%	30 Dec →
overpass	8–13	-0.01	22%	30 Dec →
overpass	7–13	-0.08	10%	30 Dec →
overpass	9–13	0.01	17%	29 Dec →
overpass	7–13	-0.03	27%	28 Dec →
inferno	4–13	-0.10	0%	28 Dec →
ancient	11–13	0.11	23%	28 Dec →
inferno	8–13	0.05	18%	28 Dec →
dust2	13–10	0.05	16%	28 Dec →
dust2	16–13	0.01	12%	25 Dec →
ancient	2–13	-0.06	31%	22 Dec →
mirage	11–13	-0.02	13%	22 Dec →