MePrau DIGITALIS BOY — CS2 Stats

76561197992593001[U:1:32327273]

764Tracked matches57%Win rate2020Tracked since

4,247Hours in CS14Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating23,996Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#7483 of 42934 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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	Level 9 median	Level 10 median	vs Level 10
Headshot rate	42.0%	48.5%	51.9%	10.0% short
Shot accuracy	13.2%	13.3%	13.7%	0.5% short
Kill/death ratio	1.36	1.07	1.08	above
Match win rate	50.7%	47.0%	48.7%	above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim73

Positioning75

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateTWLWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating

Player DNA

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

Aim7.3

Aggression10.0

Utility6.7

Positioning7.5

Opening Duels5.4

Clutch7.0

Reliable in 1v1s

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 ZywOo 92% playstyle similarity

Most alike: opening-fight frequency, 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 →

CSDB Rating breakdown

Aim7.3

Positioning7.5

Utility6.7

Mechanics4.8

Opening Duels5.4

Win Impact7.4

Composite 6.8/10 (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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time500ms−40ms

first ⅓ avg 540ms → last ⅓ avg 500ms

Headshot accuracy22.6%−1.0%

first ⅓ avg 23.6% → last ⅓ avg 22.6%

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

0.13Best rating — nuke 13–8

13–1Biggest win — ancient

4Longest win streak

11–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 83% over 6infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	11–10	52%	0.03
ancient	B	20	10–10	50%	0.02
dust2	D	15	5–10	33%	0.00
anubis	C	14	5–9	36%	0.05
nuke	C	9	4–5	44%	0.02
mirage	S	6	5–1	83%	0.05
inferno	D	5	1–4	20%	0.02
overpass	—	4	2–2	50%	0.03
boulder	—	2	0–2	0%	-0.01
alpine	—	2	1–1	50%	0.03
fachwerk	—	1	1–0	100%	0.03
golden	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

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

Lifetime stats

150,585Lifetime kills

1.36K/D · Top 10% of Level 9 players

6,144Matches

50.7%Match win rate · Top 25% of Level 9 players

42.0%Headshot %

13.2%Shot accuracy

28,427MVPs

2,392Hours (in match)

6,118Bombs planted

2,856Bombs defused

Most-used weapons

AK-4745,213

AWP26,738

M4A4 / M4A1-S25,633

Desert Eagle9,744

P2000 / USP-S7,062

Glock-186,111

Galil AR3,063

SG 5532,452

P2502,126

FAMAS2,123

Lifetime map wins

15,193vertigo

9,454inferno

7,218dust2

3,312nuke

2,126train

1,648cbble

1,369office

264lake

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

Faceit stats

Combat

560Matches

53%Win rate

1.30Avg K/D

82.4ADR

36%Headshot %

Clutches & streaks

55%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	20	50%	1.27	16.6
Inferno	19	58%	1.32	17.9
Ancient	15	67%	1.70	17.6
Dust2	13	54%	1.25	18.3
Vertigo	5	40%	0.92	15.0
Mirage	5	40%	1.11	19.6
Nuke	5	60%	1.13	13.4
Overpass	3	67%	1.13	15.3

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.

23.1%Headshot accuracy

29.8%Accuracy (enemy spotted)

36.5%Spray accuracy

71.7%Counter-strafing

8.7°Preaim

505msReaction time

46.5%T opening success

56.8%CT opening success

0.61Enemies flashed / flash

8.8%Flash assists

10.02HE damage / grenade

14.05Flashes / match

Recommended for you

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.

20% win rate across 5 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
cache	15–15	0.06	27%	29 Aug →
mirage	13–8	0.04	18%	22 Aug →
ancient	1–13	-0.05	17%	22 Aug →
inferno	13–11	0.07	21%	22 Aug →
dust2	13–8	0.05	18%	22 Aug →
cache	13–8	-0.02	19%	9 Aug →
cache	7–13	-0.01	9%	9 Aug →
ancient	13–9	0.09	30%	8 Aug →
ancient	7–13	-0.02	24%	6 Aug →
cache	13–3	0.07	27%	6 Aug →
cache	2–13	-0.03	35%	6 Aug →
ancient	4–13	-0.03	13%	4 Aug →
ancient	7–13	-0.08	20%	30 Jul →
anubis	13–7	0.02	23%	25 Jul →
dust2	3–13	-0.07	21%	25 Jul →
inferno	0–13	-0.05	28%	24 Jul →
dust2	5–13	-0.06	22%	22 Jul →
cache	1–0	0.00	0%	21 Jul →
ancient	9–2	0.00	57%	21 Jul →
dust2	13–11	0.00	41%	19 Jul →
ancient	13–7	0.07	31%	19 Jul →
anubis	10–13	0.03	26%	18 Jul →
ancient	13–8	0.07	26%	18 Jul →
dust2	13–9	0.07	32%	17 Jul →
cache	12–12	0.12	25%	15 Jul →
boulder	8–13	-0.02	18%	13 Jul →
boulder	11–13	-0.00	17%	13 Jul →
fachwerk	13–9	0.03	9%	11 Jul →
ancient	13–4	0.10	10%	4 Jul →
cache	13–10	0.03	21%	4 Jul →
cache	13–4	0.02	12%	4 Jul →
cache	3–4	0.01	22%	4 Jul →
nuke	2–13	-0.07	28%	4 Jul →
mirage	13–6	0.13	25%	23 Jun →
ancient	13–1	0.13	33%	17 Jun →
nuke	13–8	0.13	31%	17 Jun →
cache	13–3	0.01	15%	9 Jun →
cache	8–13	-0.02	18%	5 Jun →
cache	12–12	0.13	24%	5 Jun →
nuke	6–13	-0.00	21%	3 Jun →
nuke	13–8	0.06	30%	2 Jun →
ancient	13–6	0.02	10%	31 May →
cache	12–12	0.02	30%	12 May →
anubis	15–15	-0.02	21%	11 May →
cache	13–11	-0.00	13%	5 May →
cache	13–11	0.01	8%	4 May →
cache	13–11	0.03	20%	4 May →
cache	10–13	0.05	19%	4 May →
cache	7–13	-0.02	30%	30 Apr →
cache	13–11	0.07	25%	30 Apr →
cache	13–6	0.11	22%	29 Apr →
overpass	11–13	0.07	22%	28 Apr →
ancient	8–13	-0.00	5%	26 Apr →
mirage	13–9	0.09	26%	22 Apr →
anubis	16–14	0.04	30%	21 Apr →
ancient	2–13	0.03	34%	21 Apr →
dust2	13–5	0.01	33%	20 Apr →
mirage	13–9	-0.00	30%	14 Apr →
dust2	11–13	-0.02	34%	9 Apr →
nuke	8–13	0.00	20%	9 Apr →
ancient	11–13	-0.01	38%	8 Apr →
alpine	13–8	0.03	27%	5 Apr →
anubis	6–13	-0.00	12%	5 Apr →
inferno	10–13	0.02	14%	5 Apr →
nuke	6–13	-0.05	29%	4 Apr →
ancient	12–12	0.04	33%	3 Apr →
ancient	4–13	-0.05	20%	2 Apr →
ancient	13–8	0.08	33%	2 Apr →
inferno	4–13	0.04	33%	1 Apr →
nuke	13–10	0.03	16%	1 Apr →
overpass	6–13	0.01	19%	28 Mar →
ancient	13–5	-0.02	7%	27 Mar →
dust2	5–13	-0.06	16%	27 Mar →
dust2	8–13	-0.01	18%	26 Mar →
dust2	14–16	0.02	22%	17 Mar →
inferno	9–13	0.02	20%	17 Mar →
dust2	13–11	0.09	11%	16 Mar →
dust2	11–13	0.05	23%	11 Mar →
anubis	9–13	0.10	26%	11 Mar →
mirage	13–16	0.00	30%	7 Mar →
nuke	13–9	-0.00	22%	7 Mar →
overpass	13–11	0.05	17%	6 Mar →
ancient	12–12	-0.01	12%	3 Mar →
dust2	3–13	0.01	26%	2 Mar →
anubis	13–6	0.09	24%	2 Mar →
dust2	8–13	-0.07	19%	2 Mar →
dust2	9–11	0.00	27%	25 Feb →
ancient	13–6	0.09	39%	24 Feb →
anubis	13–2	0.04	24%	22 Feb →
anubis	7–13	0.08	19%	21 Feb →
mirage	13–4	0.02	53%	20 Feb →
anubis	6–13	0.10	15%	14 Feb →
anubis	12–12	0.06	24%	11 Feb →
anubis	8–13	-0.01	23%	11 Feb →
anubis	4–13	0.12	33%	9 Feb →
anubis	13–11	0.10	24%	31 Jan →
alpine	12–12	0.04	26%	29 Jan →
golden	9–13	0.12	21%	9 Jan →
nuke	11–13	0.06	35%	23 Dec →
overpass	13–4	-0.00	23%	23 Dec →