MissNyta — CS2 Stats

US76561199250382070[U:1:1290116342]Steam profile ↗

808Tracked matches61%Win rate2025Tracked since

1,044Hours in CS8Hrs last 2 wks

CSDB Rating4.0 Developing

FaceitLevel 2 · 1,000 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning39

Utility11

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWLLTWWWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression4.2

Utility1.1

Positioning3.9

Opening Duels0.7

Clutch4.0

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 74% playstyle similarity

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

Where you differ: lower aim profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 741ms 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

Aim5.4

Positioning3.9

Utility1.1

Mechanics5.7

Opening Duels1.6

Win Impact8.6

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time745ms+47ms

first ⅓ avg 698ms → last ⅓ avg 745ms

Headshot accuracy20.2%+6.3%

first ⅓ avg 13.9% → last ⅓ avg 20.2%

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

0.11Best rating — inferno 9–4

13–1Biggest win — ancient

5Longest win streak

W2Current streak

10–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 100% over 5dust2Weakest map · 32% over 28

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	28	9–19	32%	-0.03
mirage	B	25	12–13	48%	-0.01
inferno	C	19	8–11	42%	-0.00
nuke	A	11	6–5	55%	-0.03
anubis	S	6	4–2	67%	0.02
ancient	S	5	5–0	100%	-0.01
cache	C	5	2–3	40%	-0.01
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,134Lifetime kills

0.71K/D

1,123Matches

41.8%Match win rate

34.4%Headshot %

0.1%Shot accuracy

2,956MVPs

543Hours (in match)

1,156Bombs planted

1,168Bombs defused

Most-used weapons

M4A4 / M4A1-S4,629

AWP3,904

AK-473,414

Galil AR2,028

P2000 / USP-S1,391

Glock-18921

FAMAS455

MP9322

UMP-45253

MAC-10179

Lifetime map wins

3,505dust2

2,141inferno

1,424nuke

246train

89vertigo

31office

2italy

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

Faceit stats

Combat

116Matches

46%Win rate

0.82Avg K/D

61.4ADR

35%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	38%	0.83	11.6
Dust2	26	27%	0.67	11.4
Inferno	21	52%	0.96	13.7
Nuke	11	73%	0.89	12.4
Ancient	8	62%	0.66	9.9
Anubis	7	86%	0.84	10.7
Overpass	4	0%	0.45	7.3
Cache	2	100%	2.04	20.0

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.

20.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

34.1%Spray accuracy

75.7%Counter-strafing

10.4°Preaim

741msReaction time

23.1%T opening success

42.8%CT opening success

0.12Enemies flashed / flash

1.2%Flash assists

2.61HE damage / grenade

1.03Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 741.0521ms — above the 700ms mark we flag
Aim Training →
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 0.1155 — 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 23.0652% — below the 40% mark we flag

Spend your practice time on Dust 2

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	0.02	6%	19 Aug →
mirage	13–2	0.01	11%	19 Aug →
dust2	8–13	0.00	22%	17 Aug →
cache	2–13	-0.04	21%	17 Aug →
mirage	15–15	-0.07	18%	17 Aug →
mirage	16–13	-0.01	14%	17 Aug →
inferno	13–10	0.00	18%	29 Jul →
anubis	13–5	0.07	19%	29 Jul →
anubis	13–6	0.00	7%	29 Jul →
dust2	3–13	-0.07	21%	29 Jul →
inferno	14–16	-0.06	11%	27 Jul →
nuke	13–7	-0.04	18%	27 Jul →
mirage	13–11	-0.10	13%	26 Jul →
cache	13–11	0.01	50%	26 Jul →
cache	12–12	-0.01	17%	25 Jul →
cache	13–6	0.05	47%	25 Jul →
dust2	11–13	-0.07	24%	25 Jul →
nuke	13–7	-0.03	21%	24 Jul →
nuke	13–2	0.06	38%	24 Jul →
dust2	17–19	0.01	53%	24 Jul →
mirage	8–13	0.03	28%	24 Jul →
mirage	7–13	0.05	28%	24 Jul →
ancient	13–6	-0.07	4%	23 Jul →
nuke	13–11	-0.07	6%	23 Jul →
mirage	13–7	-0.01	16%	21 Jul →
mirage	13–7	-0.02	9%	21 Jul →
dust2	7–13	-0.08	8%	19 Jul →
mirage	14–16	-0.04	25%	19 Jul →
dust2	2–13	-0.07	17%	19 Jul →
inferno	13–5	0.07	24%	19 Jul →
cache	9–13	-0.06	14%	18 Jul →
dust2	13–6	-0.06	9%	15 Jul →
dust2	10–13	-0.06	31%	15 Jul →
dust2	7–13	-0.05	20%	12 Jul →
mirage	11–13	-0.04	11%	12 Jul →
dust2	13–4	0.06	27%	12 Jul →
mirage	9–13	0.01	18%	12 Jul →
inferno	4–13	-0.10	22%	12 Jul →
mirage	13–4	0.02	13%	12 Jul →
ancient	13–5	-0.03	13%	12 Jul →
ancient	13–3	0.08	23%	12 Jul →
dust2	4–13	-0.08	0%	11 Jul →
mirage	7–13	-0.02	21%	11 Jul →
inferno	13–3	-0.00	29%	10 Jul →
inferno	10–13	-0.02	17%	10 Jul →
dust2	4–13	-0.07	26%	10 Jul →
mirage	13–11	-0.04	19%	9 Jul →
inferno	2–13	-0.10	13%	9 Jul →
mirage	13–5	-0.04	16%	9 Jul →
dust2	12–12	-0.09	17%	8 Jul →
inferno	16–14	0.08	20%	7 Jul →
anubis	13–3	0.07	33%	7 Jul →
dust2	13–3	-0.01	21%	6 Jul →
dust2	13–9	0.07	15%	6 Jul →
mirage	8–13	0.01	26%	5 Jul →
dust2	10–13	0.04	33%	4 Jul →
inferno	8–13	0.03	20%	2 Jul →
mirage	10–13	-0.08	16%	2 Jul →
inferno	7–13	-0.01	22%	2 Jul →
nuke	5–13	-0.00	15%	1 Jul →
anubis	8–13	0.00	16%	1 Jul →
inferno	5–13	-0.03	8%	1 Jul →
inferno	5–13	0.09	27%	29 Jun →
dust2	4–13	-0.10	8%	27 Jun →
mirage	10–13	-0.01	14%	27 Jun →
dust2	13–6	0.05	19%	27 Jun →
dust2	13–5	0.06	24%	27 Jun →
nuke	11–13	-0.06	10%	27 Jun →
overpass	15–15	-0.05	6%	24 Jun →
mirage	13–11	-0.07	10%	17 Jun →
dust2	8–13	-0.08	38%	15 Jun →
inferno	13–11	-0.03	0%	15 Jun →
mirage	2–13	0.04	21%	14 Jun →
inferno	11–13	-0.06	3%	14 Jun →
inferno	13–10	-0.01	19%	12 Jun →
dust2	10–13	0.02	10%	11 Jun →
dust2	13–11	0.03	11%	10 Jun →
inferno	13–3	0.00	22%	10 Jun →
mirage	13–6	0.07	27%	10 Jun →
nuke	13–4	0.04	9%	10 Jun →
dust2	16–14	-0.01	14%	9 Jun →
anubis	7–13	-0.01	13%	7 Jun →
inferno	10–13	-0.03	10%	4 Jun →
dust2	13–6	-0.05	14%	4 Jun →
mirage	13–8	-0.02	18%	31 May →
mirage	13–2	0.04	14%	28 May →
nuke	4–13	-0.13	13%	28 May →
anubis	13–8	-0.02	10%	27 May →
mirage	6–13	-0.03	15%	26 May →
dust2	10–13	-0.04	10%	26 May →
nuke	1–13	-0.06	14%	24 May →
inferno	14–16	-0.03	10%	24 May →
dust2	0–13	-0.08	30%	20 May →
mirage	1–13	-0.04	24%	18 May →
nuke	10–13	-0.04	13%	18 May →
dust2	11–13	0.00	7%	18 May →
ancient	13–1	-0.03	15%	17 May →
nuke	13–6	-0.04	12%	17 May →
dust2	10–13	-0.02	8%	17 May →
inferno	9–4	0.11	11%	17 May →