Vagona — CS2 Stats

US76561198799592421[U:1:839326693]Steam profile ↗✓ No bans

390Tracked matches47%Win rate2021Tracked since

673Hours in CS

CSDB Rating6.1 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim76

Positioning59

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWWWWLWLLWL

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating

Player DNA

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

Aim7.6

Aggression5.5

Utility4.6

Positioning5.9

Opening Duels2.4

Excellent counter-strafingLimited utility dependence

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 620ms 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

Aim7.6

Positioning5.9

Utility4.6

Mechanics8.9

Opening Duels2.4

Win Impact3.9

Composite 6.1/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time620ms−7ms

first ⅓ avg 626ms → last ⅓ avg 620ms

Headshot accuracy12.8%−1.1%

first ⅓ avg 13.9% → last ⅓ avg 12.8%

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

0.21Best rating — inferno 13–2

13–1Biggest win — dust2

9Longest win streak

W4Current streak

10–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

vertigoBest map · 83% over 6nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.03
inferno	B	21	10–11	48%	0.04
nuke	C	11	4–7	36%	0.01
ancient	B	10	5–5	50%	0.03
dust2	B	10	5–5	50%	0.04
overpass	A	9	5–4	56%	0.04
vertigo	S	6	5–1	83%	0.04
anubis	A	5	3–2	60%	0.05
cache	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,314Lifetime kills

1.28K/D · Top 25% of tracked players

1,437Matches

50.5%Match win rate · Top 25% of tracked players

33.8%Headshot %

20.2%Shot accuracy · Top 5% of tracked players

4,361MVPs

673Hours (in match)

1,264Bombs planted

463Bombs defused

Most-used weapons

AK-4710,580

AWP4,447

M4A4 / M4A1-S4,308

Desert Eagle2,343

P2000 / USP-S2,054

Glock-181,420

AUG1,281

UMP-451,122

MAC-10744

SSG 08705

Lifetime map wins

4,795inferno

1,884vertigo

849nuke

708dust2

343train

50cbble

35lake

27office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.1%Headshot accuracy

40.5%Accuracy (enemy spotted)

40.5%Spray accuracy

89.9%Counter-strafing

10.7°Preaim

620msReaction time

41.2%T opening success

37.8%CT opening success

0.51Enemies flashed / flash

8.2%Flash assists

9.46HE damage / grenade

4.52Flashes / 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 13.0697% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.8468% — 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.

36% win rate across 11 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
ancient	13–10	0.05	12%	14 Aug →
dust2	13–1	0.06	5%	13 Aug →
mirage	13–8	0.08	23%	13 Aug →
anubis	13–2	0.18	11%	13 Aug →
inferno	12–16	0.04	12%	13 Aug →
inferno	13–2	0.21	7%	13 Aug →
cache	12–16	0.01	12%	9 Jul →
mirage	1–10	-0.05	18%	9 Jul →
dust2	13–4	0.04	8%	9 Jul →
mirage	7–13	0.02	17%	9 Jul →
nuke	9–13	0.01	13%	23 Apr →
ancient	5–13	-0.03	3%	23 Apr →
mirage	13–11	-0.01	22%	22 Apr →
overpass	4–13	-0.08	32%	17 Apr →
anubis	10–13	-0.02	9%	17 Apr →
nuke	6–13	0.01	9%	17 Apr →
anubis	8–13	0.05	14%	16 Apr →
ancient	13–10	0.07	13%	16 Apr →
mirage	10–13	0.08	17%	16 Apr →
inferno	5–13	-0.09	5%	15 Apr →
overpass	13–9	0.02	20%	15 Apr →
anubis	13–11	0.03	12%	15 Apr →
overpass	13–9	0.09	9%	5 Apr →
nuke	13–8	0.06	23%	5 Apr →
inferno	13–4	0.01	10%	5 Apr →
dust2	5–13	-0.01	16%	5 Apr →
overpass	7–13	0.00	6%	31 Mar →
inferno	13–4	0.11	15%	31 Mar →
mirage	11–13	0.03	9%	31 Mar →
nuke	12–16	-0.05	11%	30 Mar →
inferno	16–14	0.11	11%	30 Mar →
mirage	13–6	0.06	9%	30 Mar →
inferno	13–2	0.12	13%	30 Mar →
mirage	13–11	0.02	12%	28 Mar →
ancient	13–8	0.07	11%	27 Mar →
mirage	13–11	0.04	13%	27 Mar →
overpass	12–4	0.05	22%	27 Mar →
mirage	13–10	-0.01	11%	27 Mar →
mirage	13–6	0.04	10%	26 Mar →
inferno	8–13	-0.02	10%	26 Mar →
dust2	13–9	0.00	7%	26 Mar →
mirage	11–13	0.10	10%	26 Mar →
nuke	13–11	0.04	5%	26 Mar →
overpass	9–13	0.01	27%	26 Mar →
ancient	8–13	0.05	11%	25 Mar →
nuke	5–13	-0.05	11%	25 Mar →
ancient	13–7	0.05	14%	25 Mar →
overpass	13–11	0.04	11%	24 Mar →
overpass	13–16	0.05	11%	19 Mar →
mirage	7–13	0.03	6%	19 Mar →
ancient	5–13	-0.01	7%	18 Mar →
overpass	13–8	0.19	8%	17 Mar →
inferno	13–9	0.05	11%	17 Mar →
dust2	10–13	-0.00	19%	17 Mar →
nuke	5–13	0.03	9%	16 Mar →
mirage	13–16	0.03	10%	16 Mar →
mirage	13–8	-0.00	3%	15 Mar →
inferno	13–10	0.01	9%	15 Mar →
inferno	5–13	-0.04	32%	15 Mar →
mirage	13–8	0.06	13%	15 Mar →
inferno	16–12	0.10	10%	13 Mar →
inferno	15–15	0.07	20%	13 Mar →
ancient	9–13	0.05	17%	13 Mar →
inferno	3–13	-0.05	3%	13 Mar →
inferno	3–13	0.04	9%	12 Mar →
dust2	13–6	0.06	15%	12 Mar →
mirage	13–9	0.13	9%	11 Mar →
mirage	4–13	0.02	13%	11 Mar →
dust2	13–11	0.08	15%	11 Mar →
mirage	13–10	0.01	9%	9 Mar →
inferno	13–5	0.12	14%	9 Mar →
mirage	3–13	-0.06	13%	6 Jul →
dust2	9–13	0.04	22%	20 Mar →
ancient	1–13	-0.04	14%	11 Jan →
vertigo	13–11	0.02	17%	25 Sept →
mirage	9–13	0.02	16%	12 Sept →
ancient	13–7	0.05	17%	9 Sept →
anubis	13–7	-0.00	7%	2 Sept →
inferno	14–16	0.07	22%	1 Sept →
mirage	8–13	0.03	12%	28 Aug →
vertigo	13–11	0.08	13%	27 Aug →
vertigo	13–8	0.09	15%	21 Aug →
dust2	6–13	0.04	16%	20 Aug →
dust2	7–13	0.06	7%	6 Aug →
mirage	7–13	-0.06	13%	25 Jul →
mirage	13–6	0.08	16%	9 Jul →
nuke	13–10	-0.02	16%	9 Jul →
inferno	12–16	0.04	13%	8 Jul →
vertigo	9–13	0.01	8%	7 Jul →
inferno	3–13	-0.07	8%	28 Mar →
vertigo	13–6	-0.00	10%	25 Mar →
vertigo	13–10	0.05	11%	19 Feb →
nuke	7–13	0.03	11%	31 Jan →
nuke	4–13	-0.05	9%	30 Jan →
mirage	11–13	0.04	11%	30 Jan →
mirage	7–13	0.01	6%	29 Jan →
inferno	13–5	0.10	15%	29 Jan →
nuke	13–3	0.12	41%	29 Jan →
mirage	3–13	-0.03	14%	29 Jan →
inferno	0–13	-0.06	15%	29 Jan →