killjoy — CS2 Stats

76561197986751117[U:1:26485389]

1,084Tracked matches53%Win rate2020Tracked since

8,036Hours in CS34Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim79

Positioning52

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWWLWWLLLW

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

Player DNA

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

Aim7.9

Aggression4.6

Utility6.4

Positioning5.2

Opening Duels2.0

Clutch4.2

Strong CT-side openerEffective flashes

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.9

Positioning5.2

Utility6.4

Mechanics7.0

Opening Duels2.8

Win Impact6.1

Composite 6.3/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time561ms−64ms

first ⅓ avg 626ms → last ⅓ avg 561ms

Headshot accuracy26.0%+2.4%

first ⅓ avg 23.6% → last ⅓ avg 26.0%

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

0.12Best rating — dust2 13–2

13–2Biggest win — dust2

4Longest win streak

6–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 74% over 19cacheWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	8–15	35%	0.01
dust2	A	21	13–8	62%	0.00
inferno	S	19	14–5	74%	0.01
cache	D	18	6–12	33%	0.00
train	A	7	4–3	57%	-0.01
overpass	C	5	2–3	40%	0.03
nuke	—	3	1–2	33%	-0.02
anubis	—	2	2–0	100%	-0.01
vertigo	—	1	0–1	0%	0.00
ancient	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Lifetime stats

433,442Lifetime kills

0.71K/D

11,234Matches

45.0%Match win rate

66.2%Headshot % · Top 5% of tracked players

19.4%Shot accuracy · Top 5% of tracked players

19,637MVPs

6,597Hours (in match)

9,497Bombs planted

1,650Bombs defused

Most-used weapons

AK-47202,295

M4A4 / M4A1-S76,621

P2000 / USP-S39,724

Desert Eagle30,646

AWP23,864

Glock-1814,196

P2506,639

Knife4,937

FAMAS4,242

Five-SeveN3,930

Lifetime map wins

21,148dust2

12,758inferno

5,684train

2,831nuke

1,872cbble

1,158vertigo

119lake

38safehouse

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

Faceit stats

Combat

2,829Matches

50%Win rate

1.09Avg K/D

74.5ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	61%	0.94	14.2
Dust2	23	61%	0.93	14.1
Inferno	23	52%	1.02	16.4
Nuke	13	38%	0.90	15.8
Train	7	43%	1.21	18.7
Overpass	6	50%	1.10	14.5
Anubis	4	25%	0.86	17.5
Ancient	4	50%	1.13	18.8

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.

25.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

36.5%Spray accuracy

81.5%Counter-strafing

9.7°Preaim

565msReaction time

23.6%T opening success

52.6%CT opening success

0.80Enemies flashed / flash

7.6%Flash assists

13.32HE damage / grenade

7.59Flashes / 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 23.5746% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	17–19	0.06	35%	22 Aug →
overpass	13–5	0.03	25%	22 Aug →
cache	13–9	0.09	19%	22 Aug →
dust2	0–13	-0.06	22%	22 Aug →
train	13–10	-0.01	33%	22 Aug →
inferno	13–10	-0.05	24%	22 Aug →
inferno	11–13	0.01	37%	20 Aug →
train	10–13	0.05	19%	20 Aug →
overpass	9–13	0.02	17%	20 Aug →
inferno	16–14	0.07	20%	20 Aug →
cache	3–13	-0.05	50%	18 Aug →
dust2	6–13	-0.03	16%	18 Aug →
inferno	19–17	0.02	34%	18 Aug →
inferno	11–13	-0.04	24%	16 Aug →
mirage	13–6	0.06	31%	16 Aug →
mirage	9–13	-0.06	20%	15 Aug →
cache	13–6	-0.01	27%	15 Aug →
inferno	5–13	-0.04	40%	15 Aug →
dust2	13–2	0.12	19%	15 Aug →
cache	16–12	0.02	22%	15 Aug →
inferno	13–11	-0.05	24%	15 Aug →
dust2	13–9	0.01	35%	15 Aug →
train	13–16	-0.06	36%	15 Aug →
vertigo	10–13	0.00	28%	15 Aug →
mirage	13–7	0.01	28%	15 Aug →
nuke	13–9	-0.02	21%	14 Aug →
mirage	10–13	-0.01	6%	14 Aug →
inferno	13–9	0.06	20%	14 Aug →
dust2	13–9	0.04	14%	14 Aug →
overpass	6–13	0.09	23%	14 Aug →
cache	13–11	-0.03	30%	14 Aug →
mirage	8–13	-0.07	26%	14 Aug →
inferno	13–6	0.08	33%	14 Aug →
anubis	13–8	0.01	28%	13 Aug →
train	13–9	-0.09	22%	12 Aug →
cache	10–13	-0.01	23%	12 Aug →
mirage	13–2	0.11	43%	12 Aug →
cache	14–16	-0.01	20%	9 Aug →
anubis	13–8	-0.03	20%	9 Aug →
mirage	2–13	0.04	19%	9 Aug →
dust2	19–15	0.03	12%	9 Aug →
mirage	10–13	0.00	26%	9 Aug →
cache	6–13	0.06	21%	9 Aug →
mirage	7–13	0.05	35%	9 Aug →
mirage	7–13	0.06	16%	8 Aug →
inferno	13–8	0.04	41%	8 Aug →
dust2	13–7	0.00	24%	8 Aug →
train	13–5	-0.01	24%	8 Aug →
mirage	5–13	-0.04	32%	8 Aug →
cache	13–16	0.06	24%	8 Aug →
cache	10–13	0.01	23%	7 Aug →
dust2	13–7	0.07	36%	7 Aug →
train	13–6	0.02	15%	7 Aug →
inferno	10–13	0.02	17%	7 Aug →
dust2	13–10	-0.03	23%	7 Aug →
mirage	14–16	-0.03	29%	6 Aug →
dust2	19–17	-0.03	20%	6 Aug →
nuke	10–13	0.01	27%	6 Aug →
mirage	6–13	-0.01	16%	6 Aug →
cache	9–13	-0.02	15%	6 Aug →
overpass	9–13	0.01	32%	6 Aug →
inferno	13–6	0.08	25%	6 Aug →
nuke	5–13	-0.04	27%	6 Aug →
dust2	13–8	0.03	23%	6 Aug →
dust2	7–13	0.01	25%	5 Aug →
mirage	10–1	0.02	16%	5 Aug →
cache	13–6	-0.07	20%	5 Aug →
inferno	13–2	0.11	24%	5 Aug →
dust2	9–13	-0.03	36%	5 Aug →
ancient	5–13	0.05	10%	5 Aug →
dust2	10–13	0.03	26%	5 Aug →
inferno	13–6	-0.02	19%	5 Aug →
dust2	10–13	0.03	25%	5 Aug →
mirage	10–13	-0.01	20%	5 Aug →
inferno	13–10	-0.02	14%	5 Aug →
cache	13–4	0.07	35%	4 Aug →
inferno	13–10	0.01	25%	4 Aug →
mirage	13–11	0.03	19%	4 Aug →
cache	3–13	-0.07	11%	4 Aug →
dust2	13–9	-0.07	13%	4 Aug →
mirage	13–3	0.07	13%	4 Aug →
mirage	3–13	-0.08	26%	4 Aug →
cache	9–13	0.03	21%	3 Aug →
inferno	13–10	-0.04	21%	3 Aug →
dust2	12–12	-0.04	24%	3 Aug →
mirage	12–12	0.08	22%	3 Aug →
mirage	3–13	-0.08	21%	2 Aug →
dust2	13–8	-0.01	27%	2 Aug →
mirage	13–8	0.08	20%	2 Aug →
cache	11–13	-0.06	31%	1 Aug →
overpass	16–13	0.02	29%	1 Aug →
dust2	13–2	-0.01	24%	1 Aug →
inferno	13–9	0.03	36%	1 Aug →
dust2	13–10	-0.02	42%	1 Aug →
train	8–13	0.04	28%	1 Aug →
cache	8–13	-0.05	13%	1 Aug →
mirage	11–2	0.01	25%	31 Jul →
cache	9–13	0.03	26%	31 Jul →
dust2	11–13	-0.03	33%	31 Jul →
inferno	12–16	-0.03	22%	31 Jul →