dbd — CS2 Stats

76561197998268613[U:1:38002885]

907Tracked matches43%Win rate2021Tracked since

2,504Hours in CS27Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating18,889Purple band · top ~12.9% of ranked players (population est.)

CSDB Leaderboard#14819 of 31683 tracked

FaceitLevel 8 · 1,364 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	51.4%	47.2%	49.0%	above
Shot accuracy	14.1%	12.3%	13.1%	above
Kill/death ratio	1.14	1.07	1.08	above
Match win rate	44.3%	46.3%	46.9%	2.7% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim63

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLLWWWWLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim6.3

Aggression5.2

Utility5.6

Positioning4.6

Opening Duels1.2

Clutch3.2

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 87% playstyle similarity

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

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 →

CSDB Rating breakdown

Aim6.3

Positioning4.6

Utility5.6

Mechanics5.8

Opening Duels1.4

Win Impact2.8

Composite 4.9/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time528ms−83ms

first ⅓ avg 611ms → last ⅓ avg 528ms

Headshot accuracy20.4%+2.2%

first ⅓ avg 18.3% → last ⅓ avg 20.4%

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

0.11Best rating — mirage 13–6

13–0Biggest win — inferno

7Longest win streak

L3Current streak

15–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 62% over 13infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	19	11–8	58%	-0.01
inferno	D	18	6–12	33%	-0.01
anubis	C	15	6–9	40%	-0.01
cache	B	13	6–7	46%	0.01
ancient	A	13	8–5	62%	-0.00
nuke	B	12	6–6	50%	-0.01
mirage	B	8	4–4	50%	-0.00
vertigo	—	1	0–1	0%	-0.04
shelter	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,567Lifetime kills

1.14K/D · Top 50% of Level 8 players

3,622Matches

44.3%Match win rate

51.4%Headshot % · Top 50% of Level 8 players

14.1%Shot accuracy · Top 50% of Level 8 players

7,426MVPs

2,693Hours (in match)

2,364Bombs planted

813Bombs defused

Most-used weapons

AK-4748,601

M4A4 / M4A1-S15,003

AWP11,092

P2000 / USP-S5,368

Glock-183,006

Desert Eagle2,205

FAMAS2,167

P2502,137

Five-SeveN1,779

Molotov1,483

Lifetime map wins

6,656inferno

4,019dust2

2,425nuke

1,055cbble

996train

374vertigo

130office

70lake

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

Faceit stats

Combat

224Matches

53%Win rate

0.99Avg K/D

81.0ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	23	70%	1.05	15.2
Cache	19	53%	1.07	15.5
Ancient	17	59%	0.94	13.8
Inferno	17	53%	1.02	14.6
Mirage	14	36%	0.88	13.2
Dust2	14	43%	1.00	14.3
Nuke	13	77%	1.08	15.7

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.

20.5%Headshot accuracy

31.0%Accuracy (enemy spotted)

31.8%Spray accuracy

76.0%Counter-strafing

10.5°Preaim

535msReaction time

28.7%T opening success

40.9%CT opening success

0.51Enemies flashed / flash

3.8%Flash assists

12.35HE damage / grenade

12.86Flashes / 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
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 28.6779% — below the 40% mark we flag

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.

33% win rate across 18 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
vertigo	6–13	-0.04	24%	29 Aug →
dust2	9–13	-0.10	14%	29 Aug →
anubis	10–13	0.02	31%	28 Aug →
nuke	13–10	-0.06	18%	28 Aug →
cache	13–3	0.05	34%	28 Aug →
ancient	13–11	0.07	16%	28 Aug →
ancient	13–4	0.04	21%	28 Aug →
inferno	11–13	-0.02	18%	28 Aug →
nuke	13–6	0.01	33%	28 Aug →
inferno	2–13	-0.02	22%	28 Aug →
ancient	13–11	0.03	15%	26 Aug →
dust2	5–13	-0.07	20%	26 Aug →
dust2	13–7	0.02	16%	26 Aug →
ancient	13–10	-0.02	11%	26 Aug →
inferno	4–13	-0.07	19%	25 Aug →
cache	8–13	0.05	20%	25 Aug →
ancient	13–11	0.01	16%	25 Aug →
dust2	5–13	-0.02	15%	17 Aug →
mirage	16–14	-0.04	27%	17 Aug →
mirage	7–13	0.08	15%	16 Aug →
inferno	13–6	0.01	31%	16 Aug →
cache	7–13	-0.05	22%	16 Aug →
dust2	13–8	0.04	15%	16 Aug →
inferno	9–13	0.03	25%	15 Aug →
anubis	1–13	-0.10	19%	15 Aug →
nuke	1–13	0.08	15%	15 Aug →
anubis	9–13	0.02	19%	15 Aug →
anubis	7–13	-0.06	18%	15 Aug →
nuke	10–13	-0.06	16%	15 Aug →
dust2	13–3	-0.03	35%	15 Aug →
anubis	7–13	-0.07	21%	15 Aug →
mirage	13–11	0.00	11%	15 Aug →
ancient	4–13	-0.01	21%	15 Aug →
nuke	13–11	0.07	18%	15 Aug →
dust2	13–11	0.08	25%	15 Aug →
cache	13–8	0.06	21%	15 Aug →
cache	1–13	0.00	22%	14 Aug →
inferno	11–13	0.01	24%	14 Aug →
dust2	0–11	-0.02	29%	14 Aug →
inferno	13–10	0.02	23%	14 Aug →
anubis	7–13	-0.03	24%	14 Aug →
cache	13–6	0.01	25%	14 Aug →
nuke	9–13	-0.06	18%	14 Aug →
dust2	4–13	-0.02	25%	14 Aug →
cache	8–13	-0.01	23%	11 Aug →
inferno	13–0	0.01	29%	10 Aug →
dust2	13–11	0.04	24%	10 Aug →
ancient	13–11	0.00	20%	10 Aug →
inferno	11–13	0.01	25%	8 Aug →
inferno	13–8	-0.03	9%	8 Aug →
dust2	13–7	-0.05	13%	7 Aug →
ancient	9–13	-0.02	14%	7 Aug →
cache	7–13	-0.04	25%	7 Aug →
anubis	13–3	0.07	19%	7 Aug →
anubis	11–13	0.00	17%	7 Aug →
mirage	13–6	0.11	31%	7 Aug →
mirage	11–13	0.01	20%	7 Aug →
anubis	13–6	-0.03	17%	6 Aug →
nuke	11–13	-0.04	15%	6 Aug →
mirage	4–13	-0.07	14%	6 Aug →
ancient	3–13	-0.02	24%	6 Aug →
dust2	13–11	-0.01	21%	6 Aug →
cache	5–13	-0.07	13%	6 Aug →
nuke	4–13	-0.06	20%	6 Aug →
dust2	10–13	-0.04	20%	5 Aug →
anubis	13–4	0.03	12%	5 Aug →
cache	13–10	0.03	18%	5 Aug →
inferno	10–13	-0.08	14%	5 Aug →
inferno	3–9	-0.03	13%	5 Aug →
mirage	4–13	-0.10	8%	4 Aug →
inferno	6–13	-0.01	12%	2 Aug →
dust2	4–13	-0.04	14%	2 Aug →
anubis	13–11	-0.02	25%	1 Aug →
cache	3–13	-0.00	17%	1 Aug →
dust2	6–13	0.02	27%	1 Aug →
inferno	8–13	-0.07	13%	1 Aug →
mirage	13–8	-0.03	25%	1 Aug →
shelter	13–11	0.03	13%	31 Jul →
dust2	13–8	0.02	25%	31 Jul →
anubis	13–10	0.01	15%	31 Jul →
ancient	13–7	-0.04	24%	31 Jul →
inferno	13–11	0.03	13%	31 Jul →
dust2	13–5	0.01	17%	30 Jul →
ancient	5–13	-0.05	23%	30 Jul →
anubis	7–13	0.02	19%	30 Jul →
inferno	14–16	0.08	17%	30 Jul →
nuke	13–6	-0.05	22%	30 Jul →
ancient	11–13	-0.04	13%	29 Jul →
nuke	13–2	0.07	17%	29 Jul →
inferno	10–13	-0.06	41%	29 Jul →
nuke	13–11	-0.02	16%	28 Jul →
anubis	6–13	-0.02	18%	28 Jul →
ancient	13–7	-0.01	20%	28 Jul →
cache	13–6	0.03	15%	28 Jul →
anubis	13–5	0.03	18%	27 Jul →
cache	13–10	0.04	16%	27 Jul →
inferno	13–8	0.03	19%	27 Jul →
dust2	13–11	-0.01	25%	25 Jul →
nuke	11–13	-0.00	23%	24 Jul →
dust2	13–8	0.02	10%	24 Jul →