NaVi DuyL — CS2 Stats

76561198208819603[U:1:248553875]✓ No bans

2,005Tracked matches53%Win rate2020Tracked since

3,098Hours in CS7Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,820Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#10397 of 28433 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	44.7%	47.2%	49.9%	5.2% short
Shot accuracy	8.9%	12.7%	13.4%	4.5% short
Kill/death ratio	1.05	1.09	1.12	0.07 short
Match win rate	47.6%	46.6%	48.4%	meets

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red 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

Aim73

Positioning53

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWWLLWLWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression6.7

Utility7.1

Positioning5.3

Opening Duels2.8

Strong 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 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim7.3

Positioning5.3

Utility7.1

Mechanics6.8

Opening Duels2.8

Win Impact6.1

Composite 6.3/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time554ms−25ms

first ⅓ avg 580ms → last ⅓ avg 554ms

Headshot accuracy18.0%−1.6%

first ⅓ avg 19.6% → 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 — dust2 13–3

13–1Biggest win — inferno

6Longest win streak

8–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.01
inferno	C	27	10–17	37%	0.00
ancient	A	18	10–8	56%	0.02
cache	S	12	8–4	67%	0.00
anubis	A	11	6–5	55%	0.02
nuke	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,503Lifetime kills

1.05K/D

4,080Matches

47.6%Match win rate · Top 50% of Pink band

44.7%Headshot %

8.9%Shot accuracy

10,640MVPs

1,867Hours (in match)

7,656Bombs planted

1,503Bombs defused

Most-used weapons

AK-4730,649

M4A4 / M4A1-S17,505

P2000 / USP-S4,265

Glock-183,444

Desert Eagle3,404

AWP3,103

MAC-101,813

Galil AR1,605

MP91,452

FAMAS1,430

Lifetime map wins

14,168inferno

11,971dust2

754train

496nuke

346vertigo

30cbble

14office

13lake

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

Faceit stats

Combat

169Matches

50%Win rate

1.27Avg K/D

—ADR

43%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

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.

18.7%Headshot accuracy

32.9%Accuracy (enemy spotted)

36.5%Spray accuracy

80.4%Counter-strafing

9.1°Preaim

554msReaction time

32.1%T opening success

50.6%CT opening success

0.68Enemies flashed / flash

10.2%Flash assists

9.21HE damage / grenade

11.01Flashes / 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 32.079% — 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.

37% win rate across 27 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	13–10	0.00	23%	28 Aug →
inferno	6–13	0.02	20%	28 Aug →
cache	13–9	-0.04	12%	27 Aug →
inferno	13–4	0.05	30%	27 Aug →
dust2	1–13	-0.05	12%	27 Aug →
inferno	9–13	-0.05	13%	16 Aug →
dust2	13–6	0.01	31%	16 Aug →
ancient	5–13	-0.04	21%	16 Aug →
ancient	13–9	-0.01	18%	15 Aug →
dust2	13–11	0.02	11%	15 Aug →
dust2	0–4	-0.06	0%	12 Aug →
ancient	13–7	0.02	15%	12 Aug →
cache	13–7	0.00	11%	12 Aug →
inferno	13–1	0.11	20%	12 Aug →
ancient	9–13	0.03	20%	10 Aug →
dust2	6–13	0.01	22%	10 Aug →
ancient	4–13	-0.01	8%	10 Aug →
inferno	9–13	-0.01	16%	10 Aug →
dust2	8–13	0.00	38%	5 Aug →
inferno	4–13	0.05	23%	5 Aug →
dust2	5–13	-0.04	20%	5 Aug →
ancient	13–6	0.00	16%	1 Aug →
dust2	6–13	-0.01	16%	1 Aug →
cache	13–11	0.01	17%	1 Aug →
nuke	13–1	-0.00	31%	1 Aug →
ancient	0–13	-0.02	25%	1 Aug →
inferno	13–11	0.03	7%	29 Jul →
anubis	13–6	0.01	16%	29 Jul →
dust2	13–10	-0.03	21%	29 Jul →
inferno	7–2	0.03	23%	29 Jul →
anubis	13–3	0.06	8%	28 Jul →
anubis	9–13	-0.03	10%	28 Jul →
dust2	13–7	0.04	19%	28 Jul →
cache	0–13	-0.02	17%	28 Jul →
ancient	13–9	0.06	22%	26 Jul →
inferno	2–13	-0.04	17%	26 Jul →
dust2	8–13	-0.01	15%	26 Jul →
inferno	13–9	0.04	17%	25 Jul →
dust2	7–13	-0.02	18%	25 Jul →
ancient	13–11	0.05	21%	25 Jul →
dust2	8–13	0.01	8%	25 Jul →
dust2	13–3	0.17	17%	25 Jul →
dust2	9–13	-0.01	14%	24 Jul →
dust2	13–11	0.09	23%	24 Jul →
inferno	10–13	-0.02	17%	24 Jul →
inferno	7–13	0.06	18%	22 Jul →
anubis	13–10	0.02	16%	22 Jul →
ancient	13–10	0.03	12%	22 Jul →
inferno	13–9	-0.02	29%	21 Jul →
cache	7–13	-0.03	21%	21 Jul →
dust2	10–13	0.06	16%	21 Jul →
inferno	8–13	-0.04	10%	19 Jul →
inferno	8–13	0.07	14%	19 Jul →
dust2	13–8	-0.05	11%	19 Jul →
inferno	15–15	-0.03	13%	19 Jul →
anubis	2–13	-0.03	15%	19 Jul →
dust2	0–4	-0.01	0%	19 Jul →
cache	13–7	0.02	5%	18 Jul →
dust2	16–14	-0.07	11%	18 Jul →
anubis	9–13	0.03	9%	18 Jul →
cache	7–13	-0.00	12%	18 Jul →
dust2	13–3	-0.02	25%	18 Jul →
dust2	4–13	-0.01	19%	18 Jul →
ancient	13–5	0.09	14%	17 Jul →
cache	13–5	-0.01	23%	17 Jul →
inferno	5–13	-0.06	8%	15 Jul →
anubis	4–13	0.07	19%	15 Jul →
ancient	7–13	0.00	19%	15 Jul →
dust2	13–5	0.10	18%	14 Jul →
inferno	13–16	0.02	20%	14 Jul →
dust2	12–16	0.03	24%	14 Jul →
inferno	16–13	0.01	20%	14 Jul →
ancient	13–11	0.03	20%	13 Jul →
dust2	13–10	-0.04	16%	13 Jul →
ancient	13–6	0.08	23%	13 Jul →
cache	6–13	0.02	12%	12 Jul →
inferno	8–13	0.01	24%	12 Jul →
dust2	8–13	-0.03	28%	12 Jul →
inferno	9–13	-0.02	18%	12 Jul →
ancient	5–13	-0.01	24%	12 Jul →
dust2	13–7	0.10	20%	12 Jul →
ancient	11–13	-0.06	22%	12 Jul →
dust2	13–9	0.01	24%	12 Jul →
ancient	3–13	-0.04	23%	12 Jul →
dust2	10–13	0.01	15%	12 Jul →
inferno	13–3	-0.04	18%	12 Jul →
anubis	15–15	-0.03	14%	11 Jul →
inferno	0–3	-0.06	0%	11 Jul →
dust2	2–13	0.00	15%	11 Jul →
inferno	10–13	0.02	23%	11 Jul →
anubis	13–11	0.01	22%	9 Jul →
inferno	13–8	0.01	15%	9 Jul →
cache	13–7	0.07	30%	9 Jul →
inferno	11–13	-0.05	23%	8 Jul →
dust2	13–4	0.04	21%	8 Jul →
cache	13–7	-0.01	19%	8 Jul →
anubis	13–7	0.01	15%	8 Jul →
inferno	13–10	0.05	25%	7 Jul →
ancient	13–6	0.07	17%	7 Jul →
anubis	13–9	0.04	22%	7 Jul →