[K]aido — CS2 Stats

US76561198250344280[U:1:290078552]Steam profile ↗✓ No bans

380Tracked matches53%Win rate2020Tracked since

550Hours in CS1Hrs last 2 wks

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating12,709Blue band · top ~40.5% of ranked players (population est.)

CSDB Leaderboard#29717 of 44218 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	52.7%	41.4%	44.2%	above
Shot accuracy	4.8%	9.0%	11.6%	6.8% short
Kill/death ratio	0.97	0.97	1.03	0.06 short
Match win rate	40.5%	43.7%	45.2%	4.8% short

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

Widest gap: Shot accuracy. 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

Aim79

Positioning66

Utility31

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWLWWWLWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression9.9

Utility3.1

Positioning6.6

Opening Duels5.5

Strong CT-side opener

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 sh1ro 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 64% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning6.6

Utility3.1

Mechanics6.5

Opening Duels5.5

Win Impact6.1

Composite 6.0/10 (Solid), 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 rating0.03+0.03

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time627ms−61ms

first ⅓ avg 689ms → last ⅓ avg 627ms

Headshot accuracy23.1%−0.4%

first ⅓ avg 23.4% → last ⅓ avg 23.1%

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

0.30Best rating — dust2 13–4

13–0Biggest win — ancient

8Longest win streak

W3Current streak

12–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 58% over 31overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	18–13	58%	0.01
inferno	B	21	10–11	48%	-0.01
dust2	B	19	9–10	47%	0.02
ancient	C	10	4–6	40%	0.00
nuke	C	9	4–5	44%	-0.01
overpass	D	5	1–4	20%	-0.06
anubis	—	3	3–0	100%	-0.00
train	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,597Lifetime kills

0.97K/D

744Matches

40.5%Match win rate

52.7%Headshot % · Top 25% of Blue band

4.8%Shot accuracy

1,532MVPs

348Hours (in match)

442Bombs planted

133Bombs defused

Most-used weapons

AK-475,933

M4A4 / M4A1-S3,001

AWP1,358

Desert Eagle597

P2000 / USP-S475

Glock-18413

FAMAS256

Galil AR224

MP7183

MAC-10144

Lifetime map wins

1,378inferno

1,307dust2

566nuke

164train

73vertigo

12italy

8office

2dust

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.

23.1%Headshot accuracy

36.8%Accuracy (enemy spotted)

38.2%Spray accuracy

79.1%Counter-strafing

8.8°Preaim

620msReaction time

40.0%T opening success

63.6%CT opening success

0.42Enemies flashed / flash

0.6%Flash assists

5.28HE damage / grenade

7.87Flashes / 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.

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 0.4189 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–2	0.11	21%	12 Aug →
mirage	13–6	0.06	20%	12 Aug →
mirage	13–3	0.08	24%	10 Aug →
nuke	2–13	-0.03	38%	10 Aug →
anubis	13–11	0.00	19%	9 Aug →
ancient	13–0	0.02	30%	9 Aug →
mirage	13–6	0.12	17%	9 Aug →
mirage	6–13	0.09	25%	9 Aug →
dust2	13–11	0.16	20%	8 Aug →
mirage	13–16	0.01	19%	8 Aug →
nuke	14–16	-0.02	25%	7 Aug →
mirage	13–9	0.03	19%	7 Aug →
mirage	13–6	0.11	25%	6 Aug →
mirage	10–13	0.04	20%	6 Aug →
inferno	1–13	-0.06	18%	6 Aug →
inferno	13–11	-0.01	30%	5 Aug →
dust2	4–13	-0.07	19%	5 Aug →
inferno	13–10	-0.02	19%	2 Aug →
anubis	16–12	0.06	18%	1 Aug →
mirage	13–9	0.07	37%	22 Jul →
inferno	10–13	0.00	30%	22 Jul →
inferno	5–9	-0.07	19%	22 Jul →
dust2	9–13	-0.01	15%	18 Jul →
mirage	14–16	0.07	19%	18 Jul →
dust2	9–13	-0.02	20%	15 Jul →
dust2	13–4	0.30	32%	11 Jul →
ancient	8–13	0.04	17%	11 Jul →
mirage	13–4	0.06	23%	11 Jul →
mirage	10–13	0.03	23%	11 Jul →
dust2	10–13	0.02	35%	11 Jul →
nuke	13–5	0.05	27%	7 May →
inferno	13–7	-0.01	26%	2 May →
overpass	7–13	-0.10	15%	2 May →
inferno	8–13	-0.04	19%	2 May →
dust2	10–13	-0.01	32%	30 Apr →
mirage	13–6	-0.04	20%	30 Apr →
mirage	11–13	-0.04	20%	23 Apr →
dust2	13–11	0.04	25%	20 Apr →
nuke	3–13	-0.04	31%	15 Apr →
inferno	13–7	-0.02	33%	12 Apr →
inferno	13–4	-0.03	36%	11 Apr →
dust2	8–13	0.04	20%	9 Apr →
inferno	8–13	-0.11	24%	5 Apr →
ancient	13–7	-0.02	38%	26 Mar →
mirage	6–13	-0.04	11%	26 Mar →
mirage	0–7	-0.11	20%	26 Mar →
mirage	4–13	-0.11	13%	30 Jan →
ancient	7–13	0.03	27%	30 Jan →
mirage	2–3	-0.13	0%	25 Dec →
mirage	11–13	-0.05	16%	13 Dec →
mirage	11–13	-0.01	29%	12 Dec →
mirage	13–7	-0.01	23%	11 Dec →
ancient	7–13	-0.04	17%	25 Oct →
inferno	11–4	-0.02	11%	20 Oct →
mirage	13–4	0.01	17%	20 Oct →
mirage	6–13	-0.09	26%	20 Oct →
dust2	13–11	0.04	23%	18 Oct →
ancient	13–9	0.03	28%	18 Oct →
dust2	13–7	-0.03	21%	18 Oct →
overpass	8–13	-0.00	31%	18 Oct →
inferno	12–16	-0.04	12%	15 Oct →
ancient	3–13	-0.02	24%	15 Oct →
nuke	15–15	-0.02	22%	14 Oct →
dust2	13–11	-0.04	28%	14 Oct →
train	13–9	0.03	18%	14 Oct →
mirage	13–11	0.06	12%	14 Oct →
mirage	13–9	0.02	17%	14 Oct →
overpass	13–7	0.00	23%	12 Oct →
nuke	13–8	0.01	37%	12 Oct →
inferno	13–3	-0.02	22%	12 Oct →
inferno	13–11	0.01	18%	12 Oct →
dust2	8–13	-0.02	26%	12 Oct →
mirage	13–8	0.07	24%	10 Oct →
dust2	13–11	0.04	29%	10 Oct →
ancient	9–13	0.03	15%	9 Oct →
nuke	10–13	-0.05	25%	9 Oct →
overpass	3–13	-0.11	7%	9 Oct →
inferno	8–1	0.11	23%	9 Oct →
ancient	13–4	-0.04	27%	9 Oct →
mirage	13–11	0.10	23%	8 Oct →
mirage	13–11	-0.02	23%	8 Oct →
train	13–7	0.07	28%	8 Oct →
dust2	13–8	-0.01	31%	8 Oct →
nuke	13–9	0.01	21%	6 Oct →
dust2	12–12	0.01	32%	24 Sept →
nuke	13–8	0.01	21%	18 Sept →
inferno	8–13	0.01	11%	18 Sept →
overpass	5–13	-0.07	13%	18 Sept →
mirage	13–9	0.02	21%	13 Sept →
inferno	10–13	0.02	33%	3 Sept →
mirage	13–6	-0.01	21%	1 Sept →
dust2	8–13	0.03	22%	1 Sept →
dust2	13–16	-0.00	23%	1 Sept →
inferno	8–13	0.01	26%	1 Sept →
dust2	13–6	0.01	33%	1 Aug →
mirage	13–6	-0.01	27%	28 May →
anubis	13–11	-0.07	28%	26 May →
ancient	9–13	-0.04	12%	26 May →
inferno	6–13	0.01	21%	13 May →
inferno	9–13	0.02	28%	11 May →