denyap; — CS2 Stats

76561197960410886[U:1:145158]

1,821Tracked matches50%Win rate2020Tracked since

4,030Hours in CS25Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating26,339Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1433 of 16347 tracked

FaceitLevel 10 · 2,165 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	46.7%	52.8%
Shot accuracy	17.8%	13.7%
Kill/death ratio	1.34	1.08
Match win rate	58.5%	49.2%

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Performance scores

Aim92

Positioning63

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWLWLLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim9.2

Aggression6.6

Utility6.2

Positioning6.3

Opening Duels2.5

Clutch4.0

Sharp aimerStrong CT-side opener

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 Twistzz 95% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning6.3

Utility6.2

Mechanics7.8

Opening Duels2.8

Win Impact5.0

Composite 7.2/10 (Strong), 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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time508ms−119ms

first ⅓ avg 627ms → last ⅓ avg 508ms

Headshot accuracy18.0%−1.1%

first ⅓ avg 19.1% → last ⅓ avg 18.0%

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

0.17Best rating — nuke 13–4

13–2Biggest win — anubis

6Longest win streak

7–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 93% over 15anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	14–12	54%	0.01
inferno	A	16	9–7	56%	0.03
nuke	S	15	14–1	93%	0.06
ancient	C	14	6–8	43%	0.02
cache	B	12	6–6	50%	0.02
anubis	D	9	3–6	33%	0.01
mirage	D	6	2–4	33%	0.02
overpass	—	2	2–0	100%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,596Lifetime kills

1.34K/D · Top 25% of Level 10 players

3,905Matches

58.5%Match win rate · Top 5% of Level 10 players

46.7%Headshot %

17.8%Shot accuracy · Top 25% of Level 10 players

9,097MVPs

2,638Hours (in match)

7,940Bombs planted

1,761Bombs defused

Most-used weapons

AK-4746,264

M4A4 / M4A1-S32,195

P2000 / USP-S8,208

AWP7,202

Desert Eagle5,352

Glock-184,507

P2503,089

Galil AR2,186

FAMAS1,593

MP91,584

Lifetime map wins

11,915inferno

9,297dust2

6,172nuke

2,399train

1,190cbble

391vertigo

36lake

34office

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

Faceit stats

Combat

571Matches

55%Win rate

1.36Avg K/D

83.3ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

32%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	47	55%	1.28	17.4
Ancient	47	45%	1.15	16.7
Anubis	44	50%	1.28	17.0
Dust2	35	60%	1.44	16.6
Mirage	29	45%	1.24	16.9
Overpass	25	80%	1.53	18.8
Nuke	24	33%	1.31	18.3
Cache	3	33%	1.06	18.3

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.

18.0%Headshot accuracy

41.7%Accuracy (enemy spotted)

46.8%Spray accuracy

84.9%Counter-strafing

7.7°Preaim

532msReaction time

28.2%T opening success

52.1%CT opening success

0.58Enemies flashed / flash

8.3%Flash assists

7.58HE damage / grenade

8.64Flashes / 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.

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 28.1629% — below the 40% mark we flag

Spend your practice time on Anubis

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 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–6	0.09	14%	27 Aug →
inferno	5–13	-0.02	11%	27 Aug →
ancient	13–11	0.09	18%	27 Aug →
cache	11–13	-0.00	16%	27 Aug →
dust2	8–13	0.05	24%	24 Aug →
inferno	16–14	0.02	10%	24 Aug →
ancient	8–13	0.05	13%	22 Aug →
cache	1–2	0.03	0%	22 Aug →
inferno	13–7	0.01	19%	22 Aug →
dust2	13–7	0.09	30%	22 Aug →
ancient	2–5	-0.06	50%	22 Aug →
dust2	6–13	0.01	31%	21 Aug →
anubis	10–13	0.00	19%	21 Aug →
ancient	3–13	0.06	17%	21 Aug →
inferno	13–16	0.04	16%	21 Aug →
dust2	5–13	0.02	23%	21 Aug →
nuke	13–8	0.03	14%	21 Aug →
ancient	13–10	0.06	18%	21 Aug →
anubis	13–2	0.02	14%	20 Aug →
inferno	13–8	0.02	20%	20 Aug →
mirage	3–13	-0.01	8%	20 Aug →
anubis	13–8	0.02	19%	19 Aug →
inferno	0–4	-0.03	33%	19 Aug →
dust2	13–16	-0.02	21%	17 Aug →
nuke	13–10	0.13	15%	16 Aug →
ancient	4–13	0.01	21%	16 Aug →
cache	13–2	0.02	14%	16 Aug →
nuke	13–3	0.13	14%	16 Aug →
dust2	13–7	0.05	21%	16 Aug →
ancient	13–11	0.02	14%	14 Aug →
inferno	13–4	0.03	18%	14 Aug →
cache	1–9	-0.06	6%	9 Aug →
nuke	13–5	0.05	11%	9 Aug →
dust2	0–8	-0.05	33%	9 Aug →
ancient	2–13	-0.04	15%	9 Aug →
dust2	2–13	-0.07	20%	8 Aug →
mirage	6–13	-0.04	13%	8 Aug →
dust2	13–9	0.07	15%	8 Aug →
inferno	9–13	0.01	16%	8 Aug →
nuke	13–8	0.02	8%	8 Aug →
dust2	13–5	-0.08	16%	7 Aug →
mirage	13–5	0.14	24%	7 Aug →
cache	13–2	0.11	13%	7 Aug →
nuke	1–4	0.03	25%	7 Aug →
dust2	1–6	-0.05	50%	7 Aug →
anubis	11–13	-0.01	14%	6 Aug →
dust2	9–13	-0.01	13%	6 Aug →
nuke	13–11	0.06	17%	6 Aug →
ancient	13–7	0.00	13%	5 Aug →
anubis	3–13	-0.06	14%	5 Aug →
dust2	13–7	0.07	26%	5 Aug →
anubis	10–13	-0.02	17%	4 Aug →
dust2	9–0	0.02	18%	4 Aug →
anubis	9–13	0.03	19%	2 Aug →
cache	7–13	0.02	12%	2 Aug →
ancient	6–13	0.07	23%	2 Aug →
dust2	9–13	0.03	20%	2 Aug →
inferno	11–13	0.03	12%	1 Aug →
anubis	13–10	0.04	24%	1 Aug →
dust2	13–6	0.13	37%	1 Aug →
dust2	13–8	0.02	25%	31 Jul →
inferno	7–13	0.05	20%	31 Jul →
nuke	13–8	0.05	14%	31 Jul →
cache	16–13	-0.02	13%	31 Jul →
dust2	13–8	0.00	22%	30 Jul →
inferno	13–9	0.05	23%	30 Jul →
inferno	13–8	0.16	20%	26 Jul →
anubis	10–13	0.03	17%	26 Jul →
dust2	7–0	0.00	50%	26 Jul →
nuke	13–6	0.13	21%	26 Jul →
dust2	13–5	0.05	17%	26 Jul →
mirage	7–13	-0.01	16%	25 Jul →
inferno	10–13	-0.03	16%	25 Jul →
ancient	2–13	-0.05	9%	25 Jul →
cache	13–9	0.07	16%	25 Jul →
inferno	13–8	0.10	20%	25 Jul →
dust2	10–13	-0.02	26%	23 Jul →
nuke	13–3	0.04	14%	23 Jul →
inferno	13–5	0.03	18%	18 Jul →
nuke	13–4	0.17	27%	18 Jul →
ancient	8–13	0.00	16%	18 Jul →
mirage	13–3	0.05	8%	18 Jul →
dust2	13–7	0.01	14%	18 Jul →
cache	9–13	-0.04	16%	18 Jul →
dust2	13–3	0.02	40%	17 Jul →
dust2	13–6	-0.04	17%	17 Jul →
nuke	13–7	0.02	7%	17 Jul →
mirage	10–13	0.01	21%	17 Jul →
inferno	13–7	0.03	15%	16 Jul →
cache	13–5	0.05	19%	16 Jul →
dust2	6–13	-0.04	15%	15 Jul →
nuke	13–9	-0.01	18%	10 Jul →
cache	11–13	0.01	28%	10 Jul →
dust2	11–13	0.01	21%	9 Jul →
ancient	13–3	0.01	16%	9 Jul →
overpass	16–13	0.08	28%	4 Jul →
overpass	2–0	0.07	0%	4 Jul →
ancient	13–11	0.08	15%	4 Jul →
nuke	13–6	0.05	21%	4 Jul →
cache	13–11	0.07	26%	27 Jun →