una — CS2 Stats

76561198445759815[U:1:485494087]

785Tracked matches50%Win rate2020Tracked since

639Hours in CS

CSDB Rating4.7 Developing

Premier CS Rating11,099Blue band · top ~49.1% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	39.9%	41.7%	44.1%	4.1% short
Shot accuracy	11.2%	8.8%	11.4%	meets
Kill/death ratio	0.77	0.97	1.03	0.26 short
Match win rate	38.8%	43.8%	45.2%	6.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim54

Positioning47

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLWLLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim5.4

Aggression3.9

Utility5.0

Positioning4.7

Opening Duels0.4

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 657ms 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

Positioning4.7

Utility5.0

Mechanics6.9

Opening Duels0.9

Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.06

first ⅓ avg -0.06 → last ⅓ avg -0.01

Reaction time652ms−122ms

first ⅓ avg 774ms → last ⅓ avg 652ms

Headshot accuracy13.5%+2.4%

first ⅓ avg 11.2% → last ⅓ avg 13.5%

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

0.19Best rating — inferno 13–5

13–2Biggest win — inferno

4Longest win streak

8–15In matches decided by ≤2 rounds

16Overtime games

Map breakdown

overpassBest map · 50% over 6infernoWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	17–24	41%	-0.04
inferno	D	17	5–12	29%	-0.03
ancient	D	15	5–10	33%	-0.01
mirage	B	15	7–8	47%	-0.03
overpass	B	6	3–3	50%	-0.07
nuke	—	4	2–2	50%	-0.04
anubis	—	1	0–1	0%	-0.03
office	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,715Lifetime kills

0.77K/D

1,697Matches

38.8%Match win rate

39.9%Headshot %

11.2%Shot accuracy · Top 50% of Blue band

2,646MVPs

639Hours (in match)

2,515Bombs planted

232Bombs defused

Most-used weapons

AK-475,424

M4A4 / M4A1-S3,958

AWP1,901

SG 5531,269

Desert Eagle1,190

P2000 / USP-S1,089

Glock-18823

AUG799

Galil AR560

MP7559

Lifetime map wins

4,553dust2

3,431inferno

633nuke

511train

155office

124vertigo

68italy

52lake

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.

14.6%Headshot accuracy

32.1%Accuracy (enemy spotted)

36.5%Spray accuracy

80.8%Counter-strafing

10.2°Preaim

657msReaction time

26.2%T opening success

37.0%CT opening success

0.64Enemies flashed / flash

7.2%Flash assists

5.61HE damage / grenade

9.98Flashes / 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 14.5799% — 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 26.2313% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	7–13	-0.02	6%	14 Mar →
dust2	13–3	-0.00	10%	14 Mar →
dust2	9–13	-0.07	8%	14 Mar →
inferno	4–13	-0.12	0%	14 Mar →
inferno	8–13	-0.00	25%	13 Mar →
ancient	13–9	0.10	7%	13 Mar →
dust2	13–10	0.07	13%	13 Mar →
inferno	13–5	0.19	21%	13 Mar →
ancient	6–13	0.04	17%	12 Mar →
mirage	13–7	0.11	14%	12 Mar →
dust2	16–14	0.06	19%	12 Mar →
dust2	15–15	0.04	19%	9 Mar →
dust2	13–11	0.03	26%	9 Mar →
dust2	10–13	-0.04	20%	8 Mar →
mirage	11–13	-0.07	21%	8 Mar →
ancient	11–13	-0.08	11%	8 Mar →
ancient	13–4	0.12	21%	8 Mar →
inferno	12–16	0.05	21%	8 Mar →
dust2	12–12	-0.04	15%	7 Mar →
ancient	5–13	-0.07	12%	22 Feb →
mirage	2–13	-0.09	13%	22 Feb →
dust2	13–9	-0.06	14%	22 Feb →
mirage	13–10	0.01	6%	13 Feb →
dust2	1–13	-0.09	0%	13 Feb →
dust2	13–5	-0.00	14%	13 Feb →
overpass	13–8	-0.05	14%	13 Feb →
mirage	13–5	0.02	14%	13 Feb →
ancient	8–13	-0.08	10%	13 Feb →
dust2	16–13	-0.01	15%	11 Feb →
mirage	2–13	-0.08	18%	11 Feb →
inferno	10–13	-0.07	8%	11 Feb →
mirage	13–10	-0.02	8%	11 Feb →
ancient	13–10	-0.01	8%	10 Feb →
dust2	13–7	-0.05	12%	10 Feb →
inferno	13–2	0.04	15%	10 Feb →
dust2	5–13	-0.07	7%	10 Feb →
dust2	13–6	-0.05	13%	10 Feb →
inferno	7–13	-0.07	14%	9 Feb →
dust2	13–10	-0.08	5%	9 Feb →
dust2	15–15	-0.04	13%	9 Feb →
dust2	16–13	-0.00	9%	9 Feb →
mirage	11–13	-0.04	6%	2 Feb →
ancient	15–15	0.00	11%	2 Feb →
overpass	13–11	-0.06	7%	2 Feb →
dust2	14–16	-0.07	17%	2 Feb →
ancient	13–5	0.08	15%	1 Feb →
inferno	13–9	-0.06	4%	1 Feb →
dust2	13–4	-0.03	11%	1 Feb →
dust2	2–13	-0.06	5%	1 Feb →
nuke	11–13	-0.07	10%	1 Feb →
inferno	11–13	-0.05	7%	1 Feb →
dust2	14–16	-0.07	13%	1 Feb →
dust2	10–13	-0.03	12%	1 Feb →
overpass	11–13	-0.08	10%	31 Jan →
anubis	8–13	-0.03	23%	31 Jan →
mirage	13–7	-0.04	4%	31 Jan →
dust2	13–6	0.03	18%	31 Jan →
ancient	11–13	-0.07	6%	24 Jan →
ancient	8–13	-0.04	14%	24 Jan →
mirage	16–14	0.04	11%	13 Jan →
dust2	13–4	0.05	23%	13 Jan →
inferno	10–13	-0.07	15%	7 Jan →
dust2	14–16	-0.07	15%	7 Jan →
mirage	11–13	-0.08	21%	7 Jan →
nuke	5–13	-0.02	13%	6 Jan →
ancient	13–6	0.03	13%	6 Jan →
inferno	13–11	-0.03	17%	6 Jan →
dust2	11–13	-0.08	9%	5 Jan →
nuke	12–3	-0.01	18%	5 Jan →
inferno	13–8	0.00	27%	5 Jan →
inferno	14–16	-0.07	13%	5 Jan →
mirage	7–13	-0.01	10%	4 Jan →
dust2	10–13	-0.07	16%	4 Jan →
dust2	13–11	-0.04	5%	4 Jan →
dust2	6–13	-0.06	8%	4 Jan →
mirage	6–13	-0.07	11%	3 Jan →
inferno	10–13	-0.04	17%	3 Jan →
dust2	7–13	-0.07	13%	2 Jan →
inferno	7–13	-0.07	12%	7 Dec →
overpass	13–10	-0.05	10%	7 Dec →
dust2	4–13	-0.12	8%	7 Dec →
dust2	13–11	-0.06	11%	6 Dec →
office	13–6	-0.06	13%	6 Dec →
dust2	3–13	-0.05	11%	6 Dec →
inferno	15–15	-0.09	5%	16 Nov →
dust2	15–15	-0.06	14%	16 Nov →
nuke	13–7	-0.04	12%	16 Nov →
inferno	8–13	-0.10	0%	16 Nov →
overpass	5–13	-0.10	3%	12 Nov →
dust2	10–13	-0.06	0%	12 Nov →
ancient	15–15	-0.06	17%	12 Nov →
mirage	7–13	-0.07	9%	12 Nov →
overpass	5–13	-0.07	12%	9 Nov →
dust2	3–13	-0.10	12%	9 Nov →
dust2	11–13	-0.09	9%	9 Nov →
dust2	11–13	-0.07	16%	7 Nov →
mirage	13–10	-0.08	10%	7 Nov →
dust2	13–16	-0.07	22%	6 Nov →
dust2	13–11	-0.04	11%	6 Nov →
ancient	6–13	-0.10	5%	6 Nov →