DjTheMetagamerTV — CS2 Stats

76561198045725528[U:1:85459800]

306Tracked matches52%Win rate2020Tracked since

1,614Hours in CS1Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating17,836Purple band · top ~17.1% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	38.7%	44.1%	47.2%	8.5% short
Shot accuracy	14.5%	11.4%	12.7%	above
Kill/death ratio	1.24	1.03	1.09	above
Match win rate	46.3%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning52

Utility43

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateWLLLLLLWLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim4.9

Aggression5.3

Utility4.3

Positioning5.2

Opening Duels0.9

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 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 698ms 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

Aim4.9

Positioning5.2

Utility4.3

Mechanics6.8

Opening Duels0.9

Win Impact5.6

Composite 4.8/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time699ms−6ms

first ⅓ avg 705ms → last ⅓ avg 699ms

Headshot accuracy23.1%+3.0%

first ⅓ avg 20.2% → last ⅓ avg 23.1%

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

0.15Best rating — cache 13–6

13–2Biggest win — dust2

6Longest win streak

10–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 60% over 10anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	0.02
dust2	B	17	9–8	53%	0.03
nuke	B	15	7–8	47%	0.00
inferno	D	11	3–8	27%	-0.01
overpass	A	10	6–4	60%	0.01
cache	C	8	3–5	38%	0.01
anubis	D	5	1–4	20%	0.01
train	—	2	1–1	50%	0.04
ancient	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,289Lifetime kills

1.24K/D · Top 25% of Purple band

2,039Matches

46.3%Match win rate · Top 50% of Purple band

38.7%Headshot %

14.5%Shot accuracy · Top 50% of Purple band

5,872MVPs

971Hours (in match)

2,413Bombs planted

932Bombs defused

Most-used weapons

AK-4711,607

M4A4 / M4A1-S7,939

AWP6,123

P2000 / USP-S3,041

Desert Eagle2,637

Glock-182,321

P2501,514

SSG 081,083

UMP-45925

Tec-9921

Lifetime map wins

7,459dust2

2,636inferno

2,256nuke

375train

295office

274cbble

205vertigo

79assault

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.

21.6%Headshot accuracy

27.3%Accuracy (enemy spotted)

29.1%Spray accuracy

80.7%Counter-strafing

9.3°Preaim

698msReaction time

31.4%T opening success

35.8%CT opening success

0.52Enemies flashed / flash

7.9%Flash assists

8.27HE damage / grenade

2.68Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6765 — below the 4 mark we flag
Grenade Lineups →
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 31.3551% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	0.15	20%	26 Aug →
mirage	11–13	0.00	18%	24 Aug →
mirage	11–13	-0.06	22%	9 Aug →
nuke	8–13	0.00	22%	9 Aug →
cache	11–13	-0.07	24%	28 Jul →
nuke	6–13	0.03	14%	25 Jul →
dust2	10–13	0.01	18%	21 Jul →
nuke	13–7	-0.04	21%	21 Jul →
nuke	3–13	-0.04	20%	21 Jul →
dust2	13–2	0.10	37%	21 Jul →
cache	13–4	-0.03	16%	20 Jul →
cache	4–13	-0.04	27%	19 Jul →
mirage	13–7	0.09	17%	19 Jul →
mirage	13–5	0.08	19%	19 Jul →
anubis	12–12	0.02	29%	16 Jul →
cache	10–13	0.09	30%	16 Jul →
mirage	13–3	-0.01	10%	16 Jul →
mirage	3–11	0.00	67%	16 Jul →
dust2	13–9	0.04	24%	15 Jul →
mirage	13–6	0.07	18%	15 Jul →
anubis	5–13	-0.02	15%	14 Jul →
mirage	13–8	0.09	16%	14 Jul →
ancient	1–13	-0.11	21%	14 Jul →
mirage	4–3	0.05	50%	14 Jul →
cache	8–13	-0.07	9%	14 Jul →
anubis	13–7	0.06	24%	14 Jul →
mirage	16–13	0.03	22%	13 Jul →
nuke	13–5	0.08	31%	13 Jul →
cache	13–11	-0.02	18%	13 Jul →
dust2	8–13	0.04	25%	13 Jul →
dust2	13–11	0.11	18%	10 Jul →
mirage	9–13	-0.06	17%	10 Jul →
inferno	10–13	0.00	26%	6 Jul →
nuke	12–12	-0.05	22%	6 Jul →
inferno	13–8	0.01	20%	5 Jul →
mirage	4–13	-0.04	13%	4 Jul →
mirage	9–13	-0.00	18%	21 Jun →
cache	11–13	0.09	19%	11 Jun →
mirage	13–6	0.02	14%	10 Jun →
overpass	14–16	-0.01	16%	26 Apr →
mirage	15–15	-0.02	16%	26 Apr →
overpass	13–7	-0.07	20%	12 Apr →
dust2	13–7	0.01	31%	12 Apr →
mirage	13–6	0.09	34%	6 Apr →
nuke	13–6	0.05	17%	5 Apr →
mirage	13–8	-0.01	17%	5 Apr →
mirage	13–11	-0.04	16%	21 Mar →
inferno	8–13	-0.07	21%	21 Mar →
anubis	10–13	0.01	21%	20 Mar →
nuke	9–13	0.03	18%	19 Mar →
inferno	13–4	0.01	17%	18 Mar →
inferno	7–13	-0.03	29%	15 Mar →
inferno	4–13	-0.10	29%	8 Mar →
nuke	7–13	-0.03	38%	8 Mar →
mirage	13–2	0.10	27%	8 Mar →
overpass	11–13	0.02	18%	6 Mar →
dust2	8–13	0.01	24%	23 Feb →
nuke	16–14	0.05	25%	18 Feb →
nuke	13–11	-0.05	33%	16 Feb →
mirage	11–13	-0.01	24%	16 Feb →
anubis	9–13	-0.01	20%	15 Feb →
dust2	4–13	0.02	23%	14 Feb →
dust2	13–10	-0.01	15%	8 Feb →
dust2	13–10	0.05	24%	8 Feb →
overpass	3–13	-0.01	31%	8 Feb →
nuke	6–13	-0.02	20%	5 Feb →
nuke	7–13	0.01	16%	2 Feb →
dust2	1–13	-0.06	13%	2 Feb →
mirage	10–13	-0.01	14%	2 Feb →
overpass	13–3	0.09	15%	2 Feb →
mirage	6–13	-0.03	22%	1 Feb →
mirage	10–13	-0.02	11%	1 Feb →
overpass	13–11	-0.02	30%	1 Feb →
nuke	16–14	-0.02	28%	31 Jan →
inferno	8–13	-0.04	16%	31 Jan →
dust2	13–11	-0.00	21%	27 Jan →
inferno	9–13	0.05	15%	26 Jan →
dust2	15–15	-0.03	14%	23 Jan →
inferno	8–13	-0.04	23%	18 Jan →
mirage	13–7	-0.02	21%	3 Jan →
mirage	13–2	0.02	20%	29 Dec →
overpass	13–7	-0.00	29%	28 Dec →
mirage	7–13	-0.02	13%	26 Dec →
train	13–7	0.02	17%	26 Dec →
dust2	13–11	0.07	20%	26 Dec →
overpass	13–2	0.07	19%	25 Dec →
dust2	13–8	0.02	29%	25 Dec →
overpass	10–13	0.03	21%	17 Dec →
mirage	11–13	-0.05	17%	14 Dec →
overpass	13–7	-0.01	22%	14 Dec →
mirage	10–13	0.03	21%	13 Dec →
train	10–13	0.06	25%	10 Dec →
dust2	10–13	-0.02	17%	8 Dec →
nuke	13–5	0.03	18%	8 Dec →
mirage	10–13	0.05	27%	7 Dec →
mirage	13–5	0.10	30%	7 Dec →
dust2	12–12	0.06	24%	7 Dec →
inferno	11–13	0.01	18%	6 Dec →
inferno	13–7	0.05	25%	6 Dec →
mirage	13–2	0.06	13%	6 Dec →