nagy — CS2 Stats

76561198050220339[U:1:89954611]Steam profile ↗

3,006Tracked matches46%Win rate2020Tracked since

CSDB Rating4.7 DevelopingHybrid Rifler

FaceitLevel 10 · 2,308 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning38

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWWLWTLLLLW

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

Player DNA

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

Aim6.4

Aggression5.7

Utility4.9

Positioning3.8

Opening Duels1.2

Clutch4.6

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 NiKo 83% playstyle similarity

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

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 48% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim6.4

Positioning3.8

Utility4.9

Mechanics4.8

Opening Duels2.3

Win Impact3.8

Composite 4.7/10 (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-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time586ms−44ms

first ⅓ avg 630ms → last ⅓ avg 586ms

Headshot accuracy21.1%+3.2%

first ⅓ avg 17.9% → last ⅓ avg 21.1%

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

0.33Best rating — vertigo 9–2

13–2Biggest win — shelter

3Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 60% over 5cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	9–13	41%	0.01
dust2	B	19	9–10	47%	0.00
mirage	B	14	7–7	50%	0.01
anubis	A	9	5–4	56%	-0.01
cache	D	8	2–6	25%	-0.01
nuke	C	8	3–5	38%	0.01
overpass	A	5	3–2	60%	0.01
vertigo	—	4	4–0	100%	0.13
boulder	—	2	1–1	50%	0.02
train	—	2	1–1	50%	-0.00
ancient	—	2	0–2	0%	-0.06
poseidon	—	2	1–1	50%	0.05
shelter	—	1	1–0	100%	0.03
warden	—	1	0–1	0%	0.04
sanctum	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Faceit stats

Combat

718Matches

52%Win rate

1.06Avg K/D

75.3ADR

45%Headshot %

Clutches & streaks

43%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	138	53%	0.97	13.8
Dust2	92	49%	1.00	14.4
Inferno	82	56%	1.03	15.0
Anubis	68	43%	1.08	15.8
Ancient	53	42%	0.97	14.4
Vertigo	27	67%	1.13	14.2
Overpass	17	82%	1.08	17.3
Nuke	15	53%	0.97	13.6

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.

20.8%Headshot accuracy

30.6%Accuracy (enemy spotted)

39.3%Spray accuracy

71.7%Counter-strafing

9.7°Preaim

581msReaction time

21.3%T opening success

48.1%CT opening success

0.55Enemies flashed / flash

6.3%Flash assists

12.14HE damage / grenade

10.27Flashes / 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 21.3352% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.02	27%	16 Aug →
mirage	13–9	-0.00	20%	16 Aug →
cache	6–13	-0.06	20%	14 Aug →
dust2	13–3	-0.05	24%	14 Aug →
inferno	15–15	0.03	28%	11 Aug →
anubis	14–16	0.01	16%	11 Aug →
dust2	10–13	0.02	23%	9 Aug →
dust2	5–13	-0.03	35%	9 Aug →
anubis	2–13	-0.08	5%	9 Aug →
inferno	13–9	0.02	20%	9 Aug →
mirage	13–6	-0.01	18%	8 Aug →
dust2	13–11	-0.03	15%	8 Aug →
dust2	8–13	-0.01	22%	7 Aug →
mirage	19–17	-0.08	20%	7 Aug →
boulder	2–13	-0.08	21%	2 Aug →
nuke	8–13	-0.02	21%	1 Aug →
boulder	13–4	0.11	24%	1 Aug →
shelter	13–2	0.03	34%	1 Aug →
nuke	3–13	0.04	16%	1 Aug →
train	12–12	-0.04	11%	1 Aug →
vertigo	13–11	0.02	26%	1 Aug →
mirage	9–13	-0.10	15%	18 Jul →
nuke	13–6	0.07	20%	16 Jul →
inferno	11–13	-0.03	20%	13 Jul →
dust2	11–13	-0.05	16%	13 Jul →
anubis	13–9	0.02	21%	12 Jul →
nuke	10–13	-0.02	31%	12 Jul →
cache	7–13	0.01	21%	11 Jul →
dust2	13–6	0.03	20%	11 Jul →
mirage	8–13	0.02	15%	11 Jul →
dust2	13–8	0.06	30%	11 Jul →
mirage	15–15	0.06	20%	11 Jul →
inferno	13–3	0.03	22%	11 Jul →
anubis	13–11	-0.06	16%	9 Jul →
cache	13–6	0.04	33%	9 Jul →
warden	10–13	0.04	11%	30 Jun →
cache	5–13	-0.03	28%	30 Jun →
inferno	3–13	-0.01	26%	28 Jun →
dust2	13–3	0.06	15%	28 Jun →
mirage	16–14	0.06	14%	28 Jun →
mirage	7–13	0.01	25%	28 Jun →
anubis	13–11	0.03	23%	28 Jun →
ancient	5–13	-0.09	14%	28 Jun →
dust2	13–7	0.02	18%	28 Jun →
dust2	13–10	0.03	29%	28 Jun →
inferno	13–7	0.01	16%	28 Jun →
dust2	9–13	-0.06	22%	26 Jun →
cache	2–13	-0.06	35%	26 Jun →
inferno	6–13	0.00	26%	26 Jun →
dust2	13–16	0.01	20%	24 Jun →
mirage	10–13	-0.01	28%	24 Jun →
anubis	7–13	-0.00	19%	24 Jun →
cache	16–13	0.03	26%	23 Jun →
mirage	7–13	0.03	21%	22 Jun →
mirage	13–3	0.05	17%	22 Jun →
ancient	3–13	-0.02	16%	22 Jun →
inferno	13–6	0.07	11%	19 Jun →
dust2	16–12	0.02	19%	19 Jun →
inferno	6–13	-0.02	19%	19 Jun →
nuke	13–10	-0.02	17%	14 Jun →
inferno	13–9	-0.03	22%	14 Jun →
mirage	13–11	0.02	21%	13 Jun →
anubis	10–13	-0.01	17%	13 Jun →
overpass	7–13	0.02	8%	12 Jun →
nuke	10–13	0.03	16%	12 Jun →
inferno	9–13	-0.00	20%	12 Jun →
mirage	13–5	0.04	33%	12 Jun →
inferno	9–13	-0.04	20%	7 Jun →
inferno	13–3	0.07	12%	7 Jun →
inferno	7–13	-0.04	22%	7 Jun →
inferno	6–9	-0.04	12%	7 Jun →
poseidon	9–4	0.08	23%	6 Jun →
vertigo	9–2	0.33	24%	6 Jun →
overpass	9–7	0.04	11%	6 Jun →
poseidon	8–8	0.01	25%	6 Jun →
overpass	8–8	-0.03	14%	6 Jun →
vertigo	9–1	0.11	14%	6 Jun →
sanctum	8–8	0.08	26%	6 Jun →
nuke	9–7	0.01	17%	6 Jun →
inferno	8–8	0.00	6%	6 Jun →
inferno	9–2	0.17	18%	6 Jun →
inferno	5–9	0.01	16%	6 Jun →
anubis	13–11	0.00	16%	6 Jun →
dust2	6–13	-0.03	27%	4 Jun →
cache	10–13	-0.02	27%	4 Jun →
overpass	13–8	-0.02	10%	4 Jun →
overpass	13–9	0.06	18%	1 Jun →
dust2	10–13	0.07	19%	1 Jun →
mirage	2–13	-0.03	14%	1 Jun →
inferno	13–4	0.01	12%	31 May →
inferno	5–13	-0.01	19%	31 May →
dust2	6–13	-0.02	20%	31 May →
inferno	11–13	0.03	20%	30 May →
dust2	11–13	-0.05	19%	30 May →
anubis	13–8	-0.01	14%	29 May →
vertigo	13–8	0.07	11%	29 May →
train	13–9	0.03	29%	29 May →
cache	12–12	0.03	19%	29 May →
nuke	11–13	-0.03	16%	24 May →
inferno	13–7	0.04	20%	24 May →