dieLand — CS2 Stats

US76561198076486539[U:1:116220811]Steam profile ↗✓ No bans

1,437Tracked matches57%Win rate2020Tracked since

7,884Hours in CS19Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating21,146Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#14099 of 42801 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Pink band median	Red band median	vs Red band
Headshot rate	58.3%	47.1%	50.0%	above
Shot accuracy	7.3%	12.8%	13.5%	6.2% short
Kill/death ratio	1.59	1.08	1.13	above
Match win rate	90.7%	46.6%	48.4%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Red 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

Aim83

Positioning66

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLWLWWLWLW

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

Player DNA

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

Aim8.3

Aggression9.4

Utility5.1

Positioning6.6

Opening Duels4.2

Clutch3.0

Limited 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 sh1ro 94% playstyle similarity

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

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

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

Aim8.3

Positioning6.6

Utility5.1

Mechanics7.0

Opening Duels4.2

Win Impact7.2

Composite 6.9/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time528ms−69ms

first ⅓ avg 597ms → last ⅓ avg 528ms

Headshot accuracy23.4%−0.9%

first ⅓ avg 24.2% → last ⅓ avg 23.4%

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

0.16Best rating — inferno 9–6

13–1Biggest win — ancient

6Longest win streak

L2Current streak

11–14In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 75% over 12infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	34	19–15	56%	0.01
ancient	A	16	10–6	63%	0.02
cache	B	15	8–7	53%	0.01
nuke	S	12	9–3	75%	0.02
inferno	D	8	1–7	13%	-0.01
anubis	A	7	4–3	57%	0.04
mirage	—	4	2–2	50%	0.06
vertigo	—	3	2–1	67%	-0.03
office	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,508Lifetime kills

1.59K/D · Top 5% of Pink band

2,702Matches

90.7%Match win rate · Top 1% of Pink band

58.3%Headshot % · Top 25% of Pink band

7.3%Shot accuracy

11,086MVPs

1,024Hours (in match)

3,439Bombs planted

1,067Bombs defused

Most-used weapons

AK-4726,520

AWP15,665

M4A4 / M4A1-S9,114

P905,620

Desert Eagle4,894

P2000 / USP-S3,727

Knife2,350

Glock-182,324

Galil AR1,425

UMP-45949

Lifetime map wins

18,995dust2

2,430nuke

1,951inferno

1,858vertigo

1,815train

422office

192cbble

152shorttrain

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

Faceit stats

Combat

223Matches

59%Win rate

1.33Avg K/D

76.0ADR

38%Headshot %

Clutches & streaks

35%1v1 clutch win

29%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	39	56%	1.28	17.0
Mirage	13	62%	1.07	14.6
Ancient	13	54%	1.07	13.8
Nuke	11	82%	1.22	15.7
Anubis	10	60%	1.34	16.4
Inferno	5	80%	1.25	15.2
Vertigo	1	100%	1.91	21.0
Overpass	1	100%	0.44	8.0

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.

23.7%Headshot accuracy

31.3%Accuracy (enemy spotted)

33.0%Spray accuracy

81.5%Counter-strafing

6.6°Preaim

525msReaction time

46.0%T opening success

47.4%CT opening success

0.69Enemies flashed / flash

8.9%Flash assists

9.92HE damage / grenade

2.64Flashes / 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 2.643 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	2–13	-0.05	11%	29 Aug →
dust2	2–13	-0.06	16%	29 Aug →
nuke	13–6	0.03	14%	29 Aug →
ancient	9–13	-0.01	31%	29 Aug →
cache	13–2	0.03	35%	29 Aug →
ancient	13–3	0.04	26%	29 Aug →
dust2	9–13	0.04	22%	29 Aug →
dust2	13–4	-0.01	24%	29 Aug →
inferno	5–13	-0.07	18%	28 Aug →
ancient	13–8	0.03	11%	28 Aug →
dust2	13–11	-0.02	16%	28 Aug →
cache	13–8	0.02	30%	28 Aug →
dust2	12–16	-0.01	34%	28 Aug →
cache	5–13	-0.08	18%	27 Aug →
ancient	13–11	-0.01	18%	27 Aug →
dust2	13–4	-0.01	25%	27 Aug →
inferno	3–13	-0.02	18%	25 Aug →
dust2	13–11	-0.03	13%	21 Aug →
vertigo	13–5	-0.00	28%	21 Aug →
mirage	5–13	0.09	29%	21 Aug →
inferno	11–13	-0.01	25%	20 Aug →
cache	13–10	0.06	29%	20 Aug →
ancient	12–2	0.01	20%	20 Aug →
cache	13–9	0.04	27%	16 Aug →
dust2	13–6	0.09	39%	16 Aug →
nuke	13–10	0.04	24%	15 Aug →
ancient	13–5	0.03	30%	15 Aug →
anubis	14–16	0.02	31%	15 Aug →
inferno	11–13	-0.05	23%	15 Aug →
ancient	7–13	-0.01	17%	13 Aug →
anubis	6–13	0.04	24%	13 Aug →
ancient	11–13	0.02	24%	9 Aug →
dust2	11–13	0.02	21%	9 Aug →
dust2	11–1	0.08	0%	9 Aug →
nuke	9–13	-0.03	27%	9 Aug →
ancient	13–1	0.11	19%	9 Aug →
cache	15–15	0.02	39%	8 Aug →
dust2	13–10	-0.02	8%	8 Aug →
nuke	13–8	-0.04	26%	8 Aug →
mirage	13–10	0.01	31%	8 Aug →
nuke	13–10	0.10	37%	8 Aug →
anubis	11–13	-0.01	16%	8 Aug →
nuke	9–7	0.13	11%	31 Jul →
inferno	9–6	0.16	24%	30 Jul →
nuke	9–7	0.05	27%	30 Jul →
cache	4–13	-0.01	14%	27 Jul →
ancient	14–16	-0.01	27%	26 Jul →
anubis	13–3	0.08	22%	26 Jul →
nuke	13–10	0.02	11%	26 Jul →
ancient	15–15	0.04	12%	26 Jul →
dust2	13–9	-0.01	25%	26 Jul →
dust2	13–8	0.11	23%	26 Jul →
cache	13–11	0.06	16%	25 Jul →
dust2	10–13	-0.03	20%	25 Jul →
dust2	13–11	-0.00	21%	25 Jul →
cache	15–15	-0.00	34%	24 Jul →
nuke	5–13	-0.02	14%	24 Jul →
office	7–13	0.04	24%	4 Jul →
anubis	13–5	0.08	23%	4 Jul →
dust2	13–5	0.06	15%	28 Jun →
inferno	4–13	-0.03	26%	28 Jun →
dust2	9–13	-0.00	25%	28 Jun →
dust2	13–8	-0.01	13%	27 Jun →
dust2	12–12	-0.02	14%	1 Jun →
cache	4–13	-0.04	44%	29 May →
vertigo	7–9	-0.08	17%	29 May →
dust2	6–13	-0.03	15%	24 May →
cache	13–2	0.12	34%	24 May →
ancient	7–3	0.05	54%	24 May →
dust2	11–13	0.09	43%	23 May →
cache	11–13	-0.03	23%	22 May →
cache	11–13	-0.07	26%	13 May →
cache	13–6	0.05	15%	2 May →
cache	13–6	0.04	27%	2 May →
anubis	13–11	0.08	28%	26 Apr →
dust2	10–13	-0.02	13%	25 Apr →
ancient	13–6	0.11	34%	25 Apr →
dust2	13–6	-0.00	17%	24 Apr →
vertigo	13–8	-0.01	20%	24 Apr →
dust2	9–13	0.01	16%	19 Apr →
dust2	13–3	0.11	21%	30 Mar →
dust2	13–11	-0.01	28%	28 Mar →
nuke	13–10	0.04	21%	20 Mar →
inferno	10–13	-0.02	15%	20 Mar →
dust2	13–11	0.05	26%	7 Mar →
dust2	16–14	0.00	28%	7 Mar →
dust2	9–13	-0.06	6%	7 Mar →
ancient	11–13	-0.08	10%	7 Mar →
mirage	13–5	0.07	14%	7 Mar →
nuke	14–16	-0.03	20%	6 Mar →
anubis	16–12	0.00	35%	27 Feb →
ancient	13–6	0.06	33%	27 Feb →
dust2	10–13	0.04	25%	27 Feb →
nuke	6–0	-0.04	33%	27 Feb →
mirage	14–16	0.07	31%	26 Feb →
dust2	7–13	0.02	21%	26 Feb →
dust2	13–16	-0.03	8%	23 Feb →
dust2	13–10	-0.03	24%	22 Feb →
ancient	13–8	-0.05	12%	22 Feb →
dust2	13–4	0.07	38%	22 Feb →