Mystery — CS2 Stats

76561198076453528[U:1:116187800]Steam profile ↗✓ No bans

2,493Tracked matches48%Win rate2021Tracked since

3,426Hours in CS2Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating19,010Purple band · top ~12.4% of ranked players (population est.)

CSDB Leaderboard#20589 of 46473 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	44.1%	44.2%	47.1%	3.0% short
Shot accuracy	14.4%	11.6%	12.8%	above
Kill/death ratio	1.15	1.03	1.08	above
Match win rate	45.3%	45.2%	46.6%	1.3% short

This profile matches the typical Pink band player on 2 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

Aim76

Positioning63

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWLLWWWWLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6

Aggression10.0

Utility4.6

Positioning6.3

Opening Duels5.6

Clutch0.0

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 88% 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. 631ms 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

Aim7.6

Positioning6.3

Utility4.6

Mechanics8.2

Opening Duels5.6

Win Impact4.4

Composite 6.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time629ms−38ms

first ⅓ avg 668ms → last ⅓ avg 629ms

Headshot accuracy15.8%+0.2%

first ⅓ avg 15.7% → last ⅓ avg 15.8%

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

0.14Best rating — ancient 13–3

13–1Biggest win — inferno

7Longest win streak

14–3In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 68% over 22cacheWeakest map · 48% over 21

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	23	12–11	52%	0.04
anubis	S	22	15–7	68%	0.03
cache	B	21	10–11	48%	-0.00
nuke	A	21	12–9	57%	0.01
dust2	A	5	3–2	60%	0.01
overpass	—	4	3–1	75%	-0.01
inferno	—	2	2–0	100%	0.04
mirage	—	2	0–2	0%	-0.05

Across the last 100 tracked matches.

Lifetime stats

105,855Lifetime kills

1.15K/D · Top 50% of Purple band

5,406Matches

45.3%Match win rate · Top 50% of Purple band

44.1%Headshot %

14.4%Shot accuracy · Top 50% of Purple band

10,248MVPs

1,978Hours (in match)

5,100Bombs planted

1,293Bombs defused

Most-used weapons

AK-4740,484

M4A4 / M4A1-S15,605

AWP4,887

MAC-104,580

P2000 / USP-S4,266

Glock-184,015

P903,958

MP93,182

FAMAS2,572

Five-SeveN2,005

Lifetime map wins

9,789vertigo

9,428dust2

4,086nuke

1,523inferno

1,233train

697cbble

236office

132lake

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

Faceit stats

Combat

13Matches

62%Win rate

0.97Avg K/D

77.6ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	67%	1.15	16.7
Anubis	1	100%	1.07	16.0

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.

14.9%Headshot accuracy

41.6%Accuracy (enemy spotted)

45.5%Spray accuracy

87.0%Counter-strafing

12.2°Preaim

631msReaction time

48.6%T opening success

56.1%CT opening success

0.47Enemies flashed / flash

4.5%Flash assists

10.34HE damage / grenade

4.41Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2155° — above the 12° mark we flag
Aim Training →
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 14.9135% — below the 15% mark we flag
Aim Training →
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 0.4661 — below the 0.5 mark we flag
Grenade Lineups →

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.

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	3–13	-0.06	13%	17 Aug →
cache	13–6	0.03	22%	17 Aug →
ancient	8–13	-0.02	18%	17 Aug →
anubis	13–16	0.01	12%	16 Aug →
ancient	13–6	0.05	9%	16 Aug →
nuke	13–11	0.02	11%	16 Aug →
cache	13–8	-0.04	15%	16 Aug →
inferno	13–1	0.05	27%	16 Aug →
mirage	13–16	-0.06	9%	15 Aug →
dust2	5–13	-0.00	18%	15 Aug →
nuke	16–12	0.04	11%	14 Aug →
anubis	6–13	0.11	17%	13 Aug →
nuke	13–11	0.03	14%	11 Aug →
cache	16–14	-0.01	15%	29 Jul →
mirage	7–13	-0.04	18%	29 Jul →
anubis	13–9	0.05	18%	29 Jul →
ancient	15–15	-0.01	13%	29 Jul →
cache	11–13	0.05	16%	28 Jul →
anubis	16–14	0.02	15%	28 Jul →
nuke	13–6	0.07	13%	28 Jul →
ancient	13–4	0.06	12%	28 Jul →
ancient	7–13	0.09	20%	28 Jul →
ancient	9–13	0.02	16%	27 Jul →
dust2	13–9	0.02	19%	27 Jul →
nuke	4–13	0.05	10%	27 Jul →
anubis	5–13	0.05	14%	27 Jul →
cache	13–7	0.02	27%	27 Jul →
cache	2–13	-0.04	9%	27 Jul →
ancient	5–13	-0.03	8%	26 Jul →
cache	12–16	0.01	16%	26 Jul →
anubis	13–11	0.01	13%	26 Jul →
ancient	10–13	0.03	37%	26 Jul →
ancient	13–16	0.03	20%	26 Jul →
cache	16–14	0.02	12%	26 Jul →
anubis	13–8	0.00	22%	26 Jul →
dust2	13–6	0.01	36%	26 Jul →
anubis	13–11	0.00	13%	23 Jul →
cache	13–7	0.03	19%	23 Jul →
cache	10–13	-0.01	17%	23 Jul →
nuke	13–9	0.03	14%	23 Jul →
nuke	1–13	-0.09	8%	20 Jul →
cache	1–13	-0.08	6%	15 Jul →
inferno	13–3	0.03	27%	14 Jul →
nuke	13–11	0.02	11%	13 Jul →
nuke	13–6	0.05	14%	13 Jul →
ancient	13–3	0.14	26%	13 Jul →
ancient	13–1	0.14	13%	13 Jul →
cache	13–11	0.03	13%	13 Jul →
cache	15–15	-0.01	14%	12 Jul →
nuke	9–13	-0.02	14%	12 Jul →
anubis	13–2	0.12	23%	12 Jul →
cache	13–8	0.02	9%	12 Jul →
anubis	13–6	0.04	11%	12 Jul →
cache	13–6	0.01	12%	12 Jul →
anubis	13–3	0.01	14%	11 Jul →
nuke	13–8	0.05	9%	11 Jul →
ancient	13–10	0.00	5%	11 Jul →
anubis	11–13	0.03	7%	11 Jul →
cache	8–13	-0.03	22%	11 Jul →
dust2	13–6	0.11	18%	11 Jul →
nuke	4–13	-0.01	20%	11 Jul →
ancient	13–2	0.07	11%	11 Jul →
cache	3–13	-0.04	13%	11 Jul →
ancient	13–2	-0.03	13%	11 Jul →
anubis	13–11	0.03	19%	11 Jul →
cache	13–5	0.04	10%	11 Jul →
cache	5–13	-0.02	10%	11 Jul →
dust2	10–13	-0.09	15%	11 Jul →
cache	10–13	0.01	19%	10 Jul →
nuke	10–13	0.02	14%	10 Jul →
ancient	9–13	-0.01	20%	10 Jul →
ancient	13–11	0.05	7%	10 Jul →
nuke	13–7	0.10	22%	10 Jul →
anubis	6–13	-0.04	24%	10 Jul →
nuke	13–5	0.08	13%	3 Jul →
ancient	16–14	0.02	16%	26 Jun →
ancient	9–13	-0.01	12%	17 Jun →
anubis	13–10	0.01	11%	13 Jun →
nuke	7–13	-0.02	7%	13 Jun →
ancient	9–13	0.03	10%	13 Jun →
anubis	13–8	0.04	18%	13 Jun →
anubis	13–8	0.03	15%	12 Jun →
overpass	13–11	-0.04	12%	12 Jun →
ancient	13–5	0.12	21%	12 Jun →
ancient	4–13	0.04	22%	12 Jun →
nuke	13–1	0.01	31%	12 Jun →
overpass	13–10	0.03	18%	12 Jun →
nuke	16–14	0.03	24%	12 Jun →
ancient	13–9	0.05	13%	9 Jun →
anubis	13–9	0.07	10%	8 Jun →
nuke	5–13	-0.06	18%	24 May →
anubis	14–16	-0.01	9%	24 May →
ancient	13–3	0.01	11%	24 May →
anubis	13–5	-0.03	19%	24 May →
overpass	8–13	-0.05	20%	21 May →
nuke	5–13	-0.08	17%	21 May →
anubis	6–13	0.03	14%	21 May →
overpass	13–9	0.01	8%	21 May →
nuke	9–13	-0.04	12%	17 May →
anubis	13–3	0.11	15%	17 May →