deLy — CS2 Stats

76561198087440426[U:1:127174698]Steam profile ↗

1,914Tracked matches40%Win rate2020Tracked since

7,002Hours in CS75Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating25,517Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#2768 of 23970 tracked

FaceitLevel 10 · 2,299 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	54.6%	52.0%
Shot accuracy	14.7%	13.7%
Kill/death ratio	0.95	1.08
Match win rate	40.3%	48.8%

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Performance scores

Aim89

Positioning63

Utility59

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateLWWLWLLLLL

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.

Aim8.9

Aggression6.5

Utility5.9

Positioning6.3

Opening Duels3.0

Clutch3.4

Sharp aimer

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 b1t 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

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

Aim8.9

Positioning6.3

Utility5.9

Mechanics7.3

Opening Duels3.0

Win Impact1.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time510ms−99ms

first ⅓ avg 610ms → last ⅓ avg 510ms

Headshot accuracy26.5%+1.5%

first ⅓ avg 25.0% → last ⅓ avg 26.5%

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

0.19Best rating — inferno 9–3

13–1Biggest win — overpass

8Longest win streak

12–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 73% over 11nukeWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	11–9	55%	0.04
dust2	S	18	12–6	67%	0.02
anubis	B	15	8–7	53%	0.02
ancient	S	11	8–3	73%	0.05
cache	B	11	5–6	45%	0.04
nuke	C	9	4–5	44%	0.04
mirage	C	9	4–5	44%	0.00
overpass	—	3	1–2	33%	0.09
debris	—	1	0–1	0%	-0.08
eldorado	—	1	0–1	0%	-0.09
shelter	—	1	1–0	100%	0.03
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

335,419Lifetime kills

0.95K/D

9,226Matches

40.3%Match win rate

54.6%Headshot % · Top 50% of Level 10 players

14.7%Shot accuracy · Top 50% of Level 10 players

22,501MVPs

7,233Hours (in match)

5,373Bombs planted

1,904Bombs defused

Most-used weapons

AK-47106,144

M4A4 / M4A1-S84,610

AWP32,391

Desert Eagle25,769

P2000 / USP-S23,540

P2508,617

Glock-186,342

Knife5,473

FAMAS4,388

Galil AR4,021

Lifetime map wins

13,223inferno

9,631dust2

3,320train

3,106nuke

2,217cbble

1,179vertigo

512office

92assault

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

Faceit stats

Combat

1,057Matches

54%Win rate

1.32Avg K/D

81.0ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	70	60%	1.27	19.3
Anubis	58	60%	1.17	16.0
Dust2	55	56%	1.08	15.3
Nuke	32	56%	1.28	17.8
Mirage	24	46%	1.11	17.2
Ancient	19	58%	1.37	16.4
Overpass	15	73%	1.62	20.2
Cache	14	50%	1.36	16.1

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.

26.0%Headshot accuracy

35.4%Accuracy (enemy spotted)

39.7%Spray accuracy

83.0%Counter-strafing

8.7°Preaim

515msReaction time

36.1%T opening success

47.9%CT opening success

0.47Enemies flashed / flash

5.0%Flash assists

9.39HE damage / grenade

12.06Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.466 — below the 0.5 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 36.0598% — below the 40% mark we flag

Spend your practice time on Nuke

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–9	0.01	29%	28 Aug →
inferno	9–3	0.19	33%	28 Aug →
ancient	13–3	0.15	31%	28 Aug →
inferno	14–16	0.02	28%	28 Aug →
ancient	13–5	0.04	26%	28 Aug →
mirage	9–13	0.01	21%	28 Aug →
anubis	12–16	-0.02	26%	28 Aug →
debris	5–9	-0.08	23%	28 Aug →
inferno	3–9	-0.14	5%	28 Aug →
cache	4–13	-0.05	27%	28 Aug →
cache	13–5	0.04	28%	27 Aug →
inferno	19–15	0.06	24%	26 Aug →
anubis	4–13	-0.08	14%	26 Aug →
inferno	13–5	-0.01	30%	26 Aug →
anubis	9–13	-0.00	25%	26 Aug →
dust2	8–13	-0.03	22%	26 Aug →
overpass	3–13	0.03	28%	23 Aug →
ancient	6–13	0.00	31%	23 Aug →
inferno	18–22	0.05	26%	23 Aug →
anubis	13–7	-0.01	26%	23 Aug →
mirage	7–13	-0.06	32%	22 Aug →
nuke	3–13	-0.06	16%	22 Aug →
dust2	9–13	-0.04	21%	22 Aug →
inferno	12–16	0.01	33%	22 Aug →
eldorado	3–9	-0.09	43%	21 Aug →
cache	6–13	-0.02	42%	21 Aug →
inferno	16–13	0.04	27%	21 Aug →
anubis	11–13	0.00	43%	21 Aug →
ancient	10–13	0.02	27%	21 Aug →
cache	13–5	0.08	19%	21 Aug →
inferno	9–4	0.14	29%	20 Aug →
nuke	3–13	0.00	15%	20 Aug →
anubis	13–4	0.08	22%	20 Aug →
anubis	13–8	0.07	22%	20 Aug →
cache	13–9	0.12	24%	20 Aug →
dust2	13–4	0.01	11%	20 Aug →
mirage	16–14	-0.00	21%	20 Aug →
nuke	13–3	0.04	41%	19 Aug →
ancient	10–13	0.02	18%	19 Aug →
nuke	9–13	-0.07	23%	19 Aug →
mirage	5–13	-0.00	35%	19 Aug →
overpass	8–8	0.07	21%	18 Aug →
nuke	8–8	0.01	22%	18 Aug →
mirage	5–4	0.05	18%	18 Aug →
dust2	5–13	0.01	24%	18 Aug →
shelter	13–7	0.03	26%	17 Aug →
cache	9–13	0.11	19%	17 Aug →
dust2	9–13	0.02	22%	17 Aug →
ancient	13–5	0.08	30%	17 Aug →
inferno	13–4	0.09	19%	17 Aug →
nuke	13–7	0.18	25%	17 Aug →
dust2	16–12	0.00	16%	17 Aug →
inferno	13–11	0.08	27%	16 Aug →
train	13–3	0.02	14%	16 Aug →
mirage	6–13	-0.01	24%	16 Aug →
mirage	13–11	0.00	25%	16 Aug →
nuke	13–10	0.09	25%	13 Aug →
ancient	13–4	0.03	19%	13 Aug →
mirage	13–8	0.07	31%	13 Aug →
mirage	6–13	-0.03	12%	13 Aug →
ancient	13–7	0.06	27%	13 Aug →
dust2	13–8	0.10	26%	13 Aug →
cache	13–6	0.07	18%	13 Aug →
dust2	13–3	0.03	10%	12 Aug →
dust2	3–13	0.03	20%	12 Aug →
anubis	6–13	-0.07	33%	12 Aug →
anubis	13–6	0.12	19%	11 Aug →
ancient	13–8	0.07	29%	11 Aug →
inferno	14–16	0.02	29%	11 Aug →
cache	14–16	0.03	20%	11 Aug →
ancient	13–9	0.00	23%	11 Aug →
ancient	13–10	0.03	18%	11 Aug →
cache	13–6	0.08	31%	11 Aug →
inferno	5–13	-0.03	26%	10 Aug →
inferno	12–12	0.04	25%	9 Aug →
dust2	13–7	0.02	23%	9 Aug →
inferno	11–13	0.03	27%	9 Aug →
dust2	13–8	0.08	28%	9 Aug →
dust2	13–9	0.02	17%	9 Aug →
anubis	13–11	0.11	27%	9 Aug →
dust2	7–13	-0.01	24%	9 Aug →
dust2	13–7	0.02	17%	8 Aug →
anubis	11–13	0.02	33%	8 Aug →
dust2	13–3	-0.04	18%	8 Aug →
dust2	13–11	0.01	27%	7 Aug →
dust2	16–14	-0.00	26%	7 Aug →
anubis	13–8	0.00	23%	7 Aug →
dust2	13–8	0.05	20%	7 Aug →
inferno	13–11	0.07	27%	7 Aug →
anubis	19–17	0.04	19%	7 Aug →
anubis	13–11	0.04	31%	6 Aug →
inferno	10–13	0.04	32%	6 Aug →
inferno	13–7	0.06	26%	6 Aug →
cache	3–13	-0.01	33%	6 Aug →
inferno	13–9	0.01	19%	5 Aug →
nuke	3–3	0.11	33%	5 Aug →
cache	6–13	0.05	16%	5 Aug →
overpass	13–1	0.19	33%	2 Aug →
inferno	7–5	0.07	25%	2 Aug →
anubis	18–22	-0.00	18%	2 Aug →