NMVy — CS2 Stats

DE76561198011103663[U:1:50837935]Steam profile ↗

1,283Tracked matches57%Win rate2020Tracked since

6,646Hours in CS19Hrs last 2 wks

CSDB Rating6.6 SolidSupport

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim80

Positioning52

Utility76

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLLWLWWWLWL

Last 10 vs previous 10: -10pp win rate · -0.05 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim8.0

Aggression4.1

Utility7.6

Positioning5.2

Opening Duels0.5

Clutch3.6

Strong CT-side openerEffective flashesHigh utility contribution

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim8.0

Positioning5.2

Utility7.6

Mechanics7.7

Opening Duels1.7

Win Impact7.2

Composite 6.6/10 (Solid), 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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time608ms+0ms

first ⅓ avg 608ms → last ⅓ avg 608ms

Headshot accuracy16.4%+0.5%

first ⅓ avg 15.8% → last ⅓ avg 16.4%

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

0.16Best rating — cache 13–3

13–3Biggest win — cache

5Longest win streak

L2Current streak

12–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 81% over 16mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	28	19–9	68%	-0.00
inferno	A	17	10–7	59%	0.01
dust2	C	16	7–9	44%	-0.02
cache	S	16	13–3	81%	0.01
anubis	A	9	5–4	56%	-0.00
mirage	D	7	1–6	14%	-0.03
nuke	—	4	1–3	25%	-0.01
overpass	—	2	1–1	50%	0.00
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

234,400Lifetime kills

1.44K/D · Top 10% of tracked players

5,065Matches

48.4%Match win rate · Top 50% of tracked players

61.8%Headshot % · Top 5% of tracked players

20.1%Shot accuracy · Top 5% of tracked players

13,450MVPs

5,335Hours (in match)

6,875Bombs planted

2,021Bombs defused

Most-used weapons

AK-47121,437

M4A4 / M4A1-S32,915

AWP15,887

P2000 / USP-S12,868

Desert Eagle11,897

Glock-185,389

P2504,340

FAMAS4,069

Galil AR2,768

MP92,444

Lifetime map wins

9,475inferno

7,387dust2

5,915nuke

2,494vertigo

1,684train

878cbble

742militia

177office

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

Faceit stats

Combat

1,144Matches

53%Win rate

1.02Avg K/D

69.8ADR

37%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	120	58%	0.96	13.9
Dust2	66	53%	0.93	12.5
Inferno	55	55%	0.95	13.3
Anubis	51	51%	0.97	13.7
Mirage	34	41%	0.86	12.7
Nuke	32	41%	0.99	15.3
Overpass	32	59%	1.14	13.2
Cache	16	69%	1.39	14.8

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.

16.2%Headshot accuracy

41.0%Accuracy (enemy spotted)

43.7%Spray accuracy

84.5%Counter-strafing

10.6°Preaim

602msReaction time

20.0%T opening success

43.8%CT opening success

0.71Enemies flashed / flash

12.1%Flash assists

12.58HE damage / grenade

14.12Flashes / 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 19.9926% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.03	18%	25 Aug →
inferno	10–13	-0.05	9%	25 Aug →
cache	13–5	-0.01	13%	25 Aug →
inferno	10–13	-0.02	3%	18 Aug →
cache	13–7	-0.01	7%	17 Aug →
cache	13–11	-0.01	11%	9 Aug →
ancient	25–22	-0.01	15%	7 Aug →
ancient	7–13	-0.09	17%	7 Aug →
dust2	13–5	-0.02	12%	6 Aug →
mirage	12–16	-0.05	24%	30 Jul →
inferno	11–13	-0.00	15%	30 Jul →
cache	13–8	0.02	24%	26 Jul →
inferno	13–8	0.09	26%	26 Jul →
ancient	13–8	0.00	15%	23 Jul →
inferno	13–9	0.02	29%	23 Jul →
ancient	8–13	-0.03	8%	22 Jul →
cache	13–6	0.10	21%	22 Jul →
ancient	13–7	-0.00	23%	22 Jul →
anubis	12–16	-0.02	10%	21 Jul →
cache	9–13	0.03	12%	21 Jul →
inferno	13–8	-0.02	8%	21 Jul →
nuke	7–13	-0.04	20%	21 Jul →
ancient	13–6	0.02	9%	16 Jul →
inferno	11–13	0.03	21%	16 Jul →
nuke	4–13	-0.05	14%	16 Jul →
inferno	13–11	0.01	13%	16 Jul →
cache	16–14	-0.00	19%	14 Jul →
inferno	13–8	0.08	27%	13 Jul →
ancient	13–7	-0.02	29%	12 Jul →
inferno	10–13	-0.07	16%	12 Jul →
ancient	13–11	0.04	17%	10 Jul →
cache	13–11	0.05	18%	10 Jul →
ancient	10–13	0.01	16%	10 Jul →
dust2	13–16	0.02	12%	10 Jul →
inferno	13–8	0.05	13%	10 Jul →
cache	13–3	0.16	22%	5 Jul →
cache	6–13	-0.03	13%	5 Jul →
inferno	13–10	-0.02	9%	30 Jun →
dust2	13–7	-0.06	13%	30 Jun →
anubis	11–13	-0.01	15%	30 Jun →
ancient	16–14	0.00	11%	24 Jun →
inferno	5–13	-0.02	8%	22 Jun →
ancient	6–13	-0.06	15%	22 Jun →
cache	13–3	0.02	33%	20 Jun →
dust2	10–13	-0.06	27%	20 Jun →
cache	13–9	0.01	21%	19 Jun →
ancient	13–11	0.02	18%	16 Jun →
ancient	13–9	-0.00	15%	16 Jun →
inferno	13–9	0.06	24%	16 Jun →
mirage	8–13	-0.04	10%	16 Jun →
overpass	2–13	-0.04	29%	14 Jun →
vertigo	3–13	-0.01	45%	14 Jun →
inferno	11–13	0.01	18%	14 Jun →
ancient	6–13	-0.02	17%	14 Jun →
ancient	13–6	0.01	22%	14 Jun →
dust2	13–11	-0.06	9%	14 Jun →
anubis	16–12	-0.02	12%	7 Jun →
ancient	10–13	-0.02	16%	7 Jun →
dust2	11–13	-0.02	16%	3 Jun →
ancient	13–3	0.03	13%	3 Jun →
mirage	3–13	-0.05	22%	3 Jun →
dust2	13–9	-0.01	18%	1 Jun →
mirage	13–7	-0.01	15%	31 May →
ancient	13–6	0.04	11%	31 May →
ancient	13–6	-0.04	10%	30 May →
anubis	13–11	0.04	15%	30 May →
dust2	12–12	-0.03	7%	30 May →
ancient	13–11	0.02	31%	30 May →
inferno	13–4	0.03	14%	28 May →
ancient	14–16	0.01	20%	28 May →
dust2	5–13	-0.03	16%	28 May →
dust2	10–13	-0.05	18%	26 May →
nuke	13–8	0.03	17%	26 May →
ancient	13–9	-0.04	17%	26 May →
mirage	5–13	-0.00	14%	25 May →
dust2	13–10	0.03	25%	25 May →
inferno	19–17	0.03	14%	21 May →
anubis	10–13	-0.01	12%	21 May →
dust2	13–8	0.04	23%	21 May →
mirage	3–13	-0.07	12%	21 May →
nuke	11–13	0.04	21%	20 May →
dust2	3–13	0.01	20%	20 May →
ancient	13–6	-0.04	23%	20 May →
dust2	10–13	-0.03	12%	17 May →
dust2	16–12	-0.03	20%	15 May →
anubis	6–13	0.00	3%	15 May →
cache	13–10	0.00	10%	14 May →
mirage	17–19	0.05	17%	10 May →
ancient	6–13	-0.03	17%	8 May →
overpass	13–3	0.04	16%	8 May →
anubis	13–11	-0.01	12%	8 May →
ancient	13–10	0.00	10%	8 May →
cache	7–13	-0.11	4%	8 May →
anubis	13–6	-0.01	24%	8 May →
ancient	10–13	0.02	14%	2 May →
anubis	13–10	0.01	12%	2 May →
cache	13–10	0.00	16%	2 May →
ancient	13–3	0.05	14%	2 May →
cache	13–7	-0.03	11%	1 May →
ancient	13–5	0.08	14%	1 May →