viHa — CS2 Stats

76561197960793838[U:1:528110]

2,293Tracked matches70%Win rate2020Tracked since

CSDB Rating5.9 SolidSupport

Premier CS Rating23,119Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

FaceitLevel 8 · 1,631 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning43

Utility79

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWWLWWWWLW

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

Player DNA

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

Aim5.8

Aggression4.6

Utility7.9

Positioning4.3

Opening Duels1.0

Clutch4.0

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 NiKo 84% playstyle similarity

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

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

Strengths

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim5.8

Positioning4.3

Utility7.9

Mechanics5.4

Opening Duels1.6

Win Impact10.0

Composite 5.9/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time558ms−89ms

first ⅓ avg 647ms → last ⅓ avg 558ms

Headshot accuracy15.1%−0.3%

first ⅓ avg 15.4% → last ⅓ avg 15.1%

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

0.10Best rating — nuke 9–13

13–1Biggest win — ancient

5Longest win streak

W3Current streak

16–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 44% over 27

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	27	12–15	44%	-0.01
dust2	B	19	9–10	47%	0.01
inferno	B	15	7–8	47%	-0.01
ancient	A	13	8–5	62%	-0.00
cache	B	13	7–6	54%	0.01
anubis	S	9	7–2	78%	-0.02
mirage	—	4	2–2	50%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 27). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

567Matches

51%Win rate

1.02Avg K/D

83.1ADR

38%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	86	57%	1.05	16.0
Inferno	72	58%	1.11	17.2
Dust2	57	47%	0.96	15.1
Ancient	39	59%	1.04	15.7
Anubis	35	66%	1.18	17.6
Mirage	28	21%	0.93	14.8
Overpass	18	50%	1.10	17.4
Cache	15	33%	1.05	14.9

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.

15.0%Headshot accuracy

34.7%Accuracy (enemy spotted)

30.8%Spray accuracy

74.4%Counter-strafing

10.5°Preaim

561msReaction time

25.8%T opening success

42.5%CT opening success

0.72Enemies flashed / flash

8.9%Flash assists

10.31HE damage / grenade

19.14Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.998% — below the 15% mark we flag
Aim Training →
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 25.7592% — below the 40% mark we flag

Spend your practice time on Nuke

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

44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.02	16%	28 Aug →
ancient	13–1	-0.01	23%	28 Aug →
nuke	13–10	-0.08	2%	28 Aug →
dust2	9–13	0.02	15%	28 Aug →
nuke	13–9	-0.00	13%	28 Aug →
nuke	13–9	0.01	16%	28 Aug →
dust2	13–8	-0.07	9%	28 Aug →
nuke	16–14	-0.05	6%	28 Aug →
cache	6–13	0.08	10%	28 Aug →
ancient	13–5	-0.02	6%	28 Aug →
nuke	11–13	-0.03	23%	28 Aug →
nuke	13–11	0.05	15%	27 Aug →
nuke	6–13	-0.10	28%	27 Aug →
inferno	13–3	-0.05	17%	27 Aug →
cache	13–7	0.03	18%	26 Aug →
nuke	13–9	-0.04	18%	26 Aug →
anubis	16–14	-0.01	9%	25 Aug →
ancient	3–13	-0.06	10%	25 Aug →
anubis	16–13	0.02	16%	25 Aug →
ancient	13–10	0.01	14%	23 Aug →
nuke	13–11	-0.02	13%	23 Aug →
ancient	13–10	-0.02	15%	23 Aug →
dust2	13–11	-0.02	22%	23 Aug →
dust2	4–13	0.03	9%	22 Aug →
dust2	4–13	0.00	27%	21 Aug →
ancient	13–11	0.01	11%	21 Aug →
cache	1–13	-0.02	28%	21 Aug →
inferno	13–7	0.04	26%	21 Aug →
nuke	16–14	0.05	13%	21 Aug →
ancient	8–13	-0.03	14%	21 Aug →
dust2	13–4	0.09	17%	21 Aug →
cache	13–16	-0.08	10%	20 Aug →
inferno	11–13	0.01	6%	20 Aug →
dust2	4–13	-0.00	10%	20 Aug →
nuke	13–6	-0.03	16%	20 Aug →
dust2	15–15	0.01	23%	20 Aug →
anubis	13–7	-0.10	9%	20 Aug →
anubis	13–11	-0.01	22%	18 Aug →
ancient	3–13	-0.02	24%	18 Aug →
dust2	4–13	-0.00	27%	18 Aug →
nuke	10–13	-0.06	21%	17 Aug →
inferno	16–13	-0.01	12%	17 Aug →
inferno	3–13	-0.06	12%	16 Aug →
anubis	13–11	-0.00	13%	16 Aug →
dust2	13–11	-0.03	23%	16 Aug →
dust2	6–13	-0.02	19%	16 Aug →
dust2	10–13	0.00	13%	14 Aug →
inferno	16–13	0.05	26%	13 Aug →
nuke	6–13	-0.04	19%	13 Aug →
nuke	10–13	0.09	18%	13 Aug →
ancient	6–13	0.00	28%	12 Aug →
inferno	10–13	-0.00	4%	12 Aug →
inferno	3–13	-0.08	7%	12 Aug →
nuke	11–13	0.03	26%	11 Aug →
nuke	7–13	0.01	14%	11 Aug →
dust2	13–11	-0.03	14%	11 Aug →
cache	5–13	-0.10	15%	10 Aug →
mirage	6–13	0.00	10%	31 Jul →
ancient	13–11	0.05	21%	31 Jul →
cache	2–13	0.00	14%	31 Jul →
inferno	8–13	0.04	11%	31 Jul →
nuke	11–13	0.03	15%	31 Jul →
cache	13–11	0.08	19%	31 Jul →
nuke	11–13	0.05	15%	30 Jul →
inferno	13–7	0.06	18%	30 Jul →
nuke	6–13	-0.02	16%	29 Jul →
ancient	7–13	0.01	12%	29 Jul →
nuke	13–4	-0.01	20%	29 Jul →
nuke	9–13	-0.03	21%	28 Jul →
anubis	6–13	-0.02	18%	28 Jul →
inferno	8–13	-0.05	14%	28 Jul →
cache	16–12	0.06	17%	28 Jul →
nuke	13–9	0.01	12%	28 Jul →
ancient	13–8	0.00	13%	28 Jul →
inferno	16–14	-0.01	25%	27 Jul →
cache	4–13	-0.02	21%	27 Jul →
cache	13–3	0.02	4%	23 Jul →
inferno	5–13	0.01	15%	23 Jul →
nuke	8–13	-0.04	12%	23 Jul →
mirage	13–7	0.02	22%	23 Jul →
anubis	3–13	-0.09	14%	22 Jul →
dust2	13–9	0.08	17%	22 Jul →
nuke	9–13	0.10	12%	21 Jul →
mirage	8–13	-0.03	32%	21 Jul →
cache	13–5	0.08	11%	21 Jul →
anubis	13–6	-0.01	12%	21 Jul →
nuke	2–7	-0.07	0%	21 Jul →
ancient	13–7	-0.00	11%	21 Jul →
dust2	11–13	0.08	19%	21 Jul →
inferno	13–9	-0.00	17%	20 Jul →
anubis	13–10	0.01	10%	20 Jul →
dust2	13–6	0.00	10%	20 Jul →
nuke	8–13	-0.06	13%	20 Jul →
cache	13–8	-0.00	25%	20 Jul →
dust2	14–16	0.02	21%	19 Jul →
nuke	19–17	0.03	13%	19 Jul →
mirage	13–8	0.02	13%	19 Jul →
inferno	8–13	-0.06	8%	19 Jul →
cache	13–2	0.03	14%	19 Jul →
dust2	13–6	0.03	20%	19 Jul →