dj amongus — CS2 Stats

PL76561198842851764[U:1:882586036]Steam profile ↗✓ No bans

775Tracked matches57%Win rate2020Tracked since

3,754Hours in CS11Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim69

Positioning52

Utility60

0–100 skill scores via Leetify.

Recent form

COLD55–41–4Last 10055%Win rateLLLLWWLLLL

Last 10 vs previous 10: -80pp win rate · -0.02 avg rating

Player DNA

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

Aim6.9

Aggression9.2

Utility6.0

Positioning5.2

Opening Duels3.9

Clutch1.8

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 jL 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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.

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

Areas to improve

T-side openings. Opening success drops from 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim6.9

Positioning5.2

Utility6.0

Mechanics7.0

Opening Duels3.9

Win Impact7.2

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time566ms−63ms

first ⅓ avg 629ms → last ⅓ avg 566ms

Headshot accuracy15.4%−6.3%

first ⅓ avg 21.7% → last ⅓ avg 15.4%

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 — overpass 13–1

13–1Biggest win — mirage

10Longest win streak

L4Current streak

5–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 45% over 31

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	14–17	45%	-0.01
dust2	B	26	13–13	50%	0.00
train	S	9	6–3	67%	0.01
inferno	A	9	5–4	56%	-0.05
overpass	S	8	6–2	75%	0.02
anubis	S	5	4–1	80%	0.01
nuke	—	4	3–1	75%	-0.01
ancient	—	4	2–2	50%	-0.03
vertigo	—	3	2–1	67%	0.01
cache	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 31). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,026Lifetime kills

1.15K/D · Top 50% of tracked players

3,605Matches

48.5%Match win rate · Top 50% of tracked players

49.4%Headshot % · Top 50% of tracked players

18.7%Shot accuracy · Top 10% of tracked players

11,665MVPs

2,700Hours (in match)

2,899Bombs planted

1,597Bombs defused

Most-used weapons

AK-4747,220

M4A4 / M4A1-S15,485

AWP7,531

P2000 / USP-S7,459

Desert Eagle7,457

SG 5533,195

Glock-182,651

AUG2,181

MP91,925

Knife1,658

Lifetime map wins

6,095dust2

5,402inferno

2,872train

1,159vertigo

1,058nuke

205office

126italy

107cbble

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

Faceit stats

Combat

1,485Matches

54%Win rate

1.08Avg K/D

72.7ADR

46%Headshot %

Clutches & streaks

29%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	176	59%	0.93	13.6
Dust2	87	62%	0.97	14.8
Anubis	47	43%	0.83	13.7
Inferno	36	53%	0.94	14.2
Overpass	24	58%	0.86	14.5
Train	14	57%	1.19	14.7
Cache	12	58%	0.95	13.1
Vertigo	8	88%	1.19	15.8

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.

14.9%Headshot accuracy

35.9%Accuracy (enemy spotted)

38.7%Spray accuracy

81.7%Counter-strafing

11.0°Preaim

564msReaction time

30.7%T opening success

60.4%CT opening success

0.80Enemies flashed / flash

8.5%Flash assists

5.04HE damage / grenade

9.88Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.946% — below the 15% mark we flag
Aim Training →
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 30.7262% — below the 40% mark we flag

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.

45% win rate across 31 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
mirage	4–13	-0.04	21%	27 May →
dust2	11–13	-0.01	8%	27 May →
cache	8–13	-0.01	18%	6 May →
overpass	9–13	-0.02	13%	29 Apr →
vertigo	13–4	-0.00	13%	2 Apr →
dust2	13–7	0.11	22%	2 Apr →
mirage	6–13	-0.01	16%	21 Feb →
dust2	7–13	-0.08	14%	21 Feb →
overpass	11–13	-0.05	14%	16 Feb →
dust2	11–13	0.01	10%	7 Feb →
overpass	13–6	0.00	12%	6 Feb →
mirage	13–1	-0.01	21%	6 Feb →
dust2	13–6	0.05	14%	24 Jan →
dust2	13–7	0.04	11%	24 Jan →
mirage	13–4	0.01	14%	21 Jan →
mirage	13–11	0.03	14%	14 Jan →
mirage	13–8	0.02	20%	13 Jan →
nuke	13–6	0.00	31%	3 Jan →
train	13–5	-0.05	0%	3 Jan →
overpass	16–13	-0.01	10%	16 Dec →
mirage	8–13	-0.02	7%	13 Dec →
mirage	8–13	-0.04	16%	13 Dec →
train	13–3	0.05	11%	27 Nov →
train	13–4	0.02	15%	27 Nov →
inferno	6–13	-0.09	14%	22 Nov →
dust2	13–8	0.07	17%	25 Oct →
overpass	13–11	-0.03	19%	14 Oct →
mirage	13–11	-0.05	11%	23 Sept →
mirage	8–13	0.01	22%	5 Sept →
dust2	10–13	-0.02	26%	3 Sept →
mirage	13–7	-0.03	10%	12 Aug →
dust2	6–13	0.01	17%	11 Aug →
inferno	13–10	0.05	29%	11 Aug →
mirage	13–6	0.05	12%	30 Jul →
train	13–4	0.06	24%	6 Jul →
dust2	7–13	-0.06	32%	16 May →
mirage	8–13	0.04	33%	16 May →
dust2	12–12	0.01	25%	8 Apr →
mirage	9–13	-0.00	10%	8 Apr →
vertigo	9–6	0.03	10%	1 Apr →
overpass	9–3	0.03	7%	1 Apr →
mirage	10–13	-0.02	18%	1 Apr →
mirage	13–6	0.04	31%	27 Mar →
mirage	7–13	-0.06	13%	27 Mar →
nuke	7–13	-0.05	19%	21 Mar →
mirage	13–16	-0.05	16%	21 Mar →
ancient	13–4	-0.00	12%	19 Mar →
mirage	6–13	-0.03	21%	7 Mar →
anubis	4–3	0.05	33%	28 Feb →
dust2	2–13	0.03	14%	20 Feb →
mirage	5–13	-0.05	19%	20 Feb →
train	13–1	0.11	16%	14 Feb →
dust2	5–13	-0.05	6%	14 Feb →
dust2	13–9	0.06	22%	14 Feb →
mirage	2–13	-0.00	31%	12 Feb →
dust2	13–11	0.01	16%	1 Feb →
dust2	6–13	0.00	24%	26 Jan →
ancient	6–13	-0.02	24%	20 Jan →
mirage	13–9	0.01	20%	14 Jan →
train	0–9	-0.08	33%	27 Nov →
mirage	13–10	-0.00	14%	27 Nov →
train	12–12	-0.06	12%	14 Nov →
train	8–1	0.07	20%	14 Nov →
train	12–12	-0.03	11%	14 Nov →
nuke	9–6	0.03	21%	7 Nov →
inferno	2–9	-0.13	13%	7 Nov →
inferno	9–5	-0.05	21%	7 Nov →
nuke	9–4	-0.02	19%	7 Nov →
overpass	9–3	0.09	11%	7 Nov →
dust2	13–5	0.08	21%	6 Nov →
mirage	10–13	-0.00	10%	22 Oct →
dust2	5–13	-0.04	10%	18 Oct →
ancient	10–13	-0.05	22%	18 Oct →
mirage	8–13	-0.00	29%	17 Oct →
dust2	13–6	0.00	22%	17 Oct →
anubis	13–3	0.02	18%	11 Oct →
inferno	12–12	-0.04	21%	10 Oct →
ancient	13–1	-0.06	23%	10 Oct →
mirage	13–7	-0.03	20%	10 Oct →
dust2	13–6	0.06	20%	8 Oct →
inferno	13–4	-0.01	18%	8 Oct →
dust2	6–2	-0.11	20%	8 Oct →
vertigo	7–13	-0.01	50%	5 Oct →
dust2	9–13	0.00	38%	5 Oct →
mirage	13–7	0.04	23%	5 Oct →
mirage	13–7	0.01	24%	5 Oct →
anubis	13–9	-0.06	23%	5 Oct →
mirage	13–6	-0.03	36%	3 Oct →
overpass	13–1	0.12	21%	25 Sept →
dust2	13–5	-0.07	0%	23 Sept →
inferno	13–6	-0.03	17%	18 Aug →
anubis	13–5	0.04	17%	18 Aug →
dust2	13–1	-0.01	18%	18 Aug →
dust2	4–13	-0.01	17%	7 Jul →
dust2	11–1	-0.02	25%	7 Jul →
anubis	4–13	-0.03	32%	3 Jul →
mirage	5–13	-0.08	26%	11 May →
inferno	6–9	-0.19	13%	11 Apr →
mirage	9–13	0.03	24%	1 Apr →
inferno	9–4	0.01	29%	1 Apr →