ImKazei — CS2 Stats

76561199384957747[U:1:1424692019]✓ No bans

496Tracked matches50%Win rate2023Tracked since

550Hours in CS6Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim67

Positioning53

Utility46

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWWWWTWWLWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.7

Aggression5.5

Utility4.6

Positioning5.3

Opening Duels2.8

Clutch2.0

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 NiKo 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim6.7

Positioning5.3

Utility4.6

Mechanics6.3

Opening Duels2.8

Win Impact5.0

Composite 4.9/10 (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 rating0.00+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time615ms−30ms

first ⅓ avg 645ms → last ⅓ avg 615ms

Headshot accuracy11.7%−0.9%

first ⅓ avg 12.5% → last ⅓ avg 11.7%

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

0.12Best rating — dust2 13–4

13–1Biggest win — anubis

5Longest win streak

W4Current streak

9–12In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 58% over 12mirageWeakest map · 19% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	8–12	40%	0.00
dust2	B	19	10–9	53%	0.01
mirage	D	16	3–13	19%	-0.01
inferno	B	14	7–7	50%	-0.01
ancient	A	12	7–5	58%	0.00
anubis	A	9	5–4	56%	-0.01
cache	—	4	3–1	75%	-0.01
overpass	—	3	1–2	33%	-0.02
train	—	2	1–1	50%	-0.03
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,999Lifetime kills

0.82K/D

816Matches

37.6%Match win rate

43.6%Headshot %

0.6%Shot accuracy

1,451MVPs

278Hours (in match)

501Bombs planted

244Bombs defused

Most-used weapons

AK-474,899

M4A4 / M4A1-S3,883

Desert Eagle745

Dual Berettas506

MAC-10483

AWP450

MP9410

Glock-18299

P2000 / USP-S288

Galil AR283

Lifetime map wins

1,200dust2

1,026inferno

663nuke

417vertigo

334train

52office

5lake

2ar_shoots

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

Faceit stats

Combat

72Matches

58%Win rate

1.09Avg K/D

71.7ADR

40%Headshot %

Clutches & streaks

30%1v1 clutch win

33%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	44%	0.98	11.9
Inferno	15	73%	1.29	13.3
Anubis	11	64%	1.03	14.1
Dust2	10	70%	1.52	12.0
Nuke	6	67%	0.86	9.8
Ancient	6	67%	0.99	14.3
Vertigo	4	50%	0.67	12.0
Train	2	0%	0.77	12.5

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.

11.2%Headshot accuracy

40.9%Accuracy (enemy spotted)

40.8%Spray accuracy

78.5%Counter-strafing

10.7°Preaim

615msReaction time

29.6%T opening success

52.7%CT opening success

0.48Enemies flashed / flash

5.2%Flash assists

8.66HE damage / grenade

9.57Flashes / 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 11.1918% — below the 15% 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 0.4844 — 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 29.6384% — below the 40% mark we flag

Spend your practice time on Mirage

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–8	0.09	11%	27 Aug →
dust2	13–11	-0.03	11%	27 Aug →
anubis	13–1	0.04	10%	26 Aug →
inferno	13–8	-0.05	6%	26 Aug →
anubis	15–15	0.03	14%	25 Aug →
dust2	13–6	0.03	19%	21 Aug →
cache	13–9	-0.04	13%	15 Aug →
mirage	11–13	-0.02	10%	13 Jul →
dust2	13–4	0.12	13%	26 Jun →
nuke	9–13	-0.02	10%	26 Jun →
mirage	13–5	0.06	14%	26 Jun →
cache	12–12	-0.06	12%	25 Jun →
nuke	15–15	0.00	14%	23 Jun →
nuke	13–7	0.07	11%	23 Jun →
ancient	4–13	0.04	18%	23 Jun →
nuke	6–13	0.03	8%	22 Jun →
nuke	5–2	-0.02	14%	22 Jun →
dust2	6–13	0.01	15%	22 Jun →
anubis	13–16	-0.06	6%	22 Jun →
anubis	13–6	-0.08	9%	20 Jun →
inferno	11–13	0.03	7%	20 Jun →
nuke	5–13	-0.04	8%	19 Jun →
nuke	11–13	0.02	6%	19 Jun →
nuke	15–15	0.01	9%	18 Jun →
inferno	13–7	-0.02	13%	18 Jun →
nuke	13–5	0.03	12%	18 Jun →
inferno	4–13	-0.03	15%	18 Jun →
anubis	11–13	-0.03	15%	15 Jun →
dust2	11–13	-0.03	11%	13 Jun →
mirage	5–13	-0.03	9%	13 Jun →
ancient	13–9	0.05	7%	13 Jun →
nuke	13–7	0.05	19%	13 Jun →
dust2	13–11	-0.04	17%	6 Jun →
mirage	11–13	0.04	15%	5 Jun →
ancient	13–11	0.04	19%	5 Jun →
nuke	13–11	0.03	19%	4 Jun →
inferno	13–6	0.08	14%	1 Jun →
ancient	13–7	-0.02	20%	1 Jun →
nuke	13–9	-0.00	8%	1 Jun →
overpass	14–16	-0.05	13%	28 May →
mirage	9–13	-0.02	18%	28 May →
nuke	7–13	0.02	13%	28 May →
mirage	13–11	-0.02	22%	26 May →
dust2	13–6	-0.02	15%	4 May →
nuke	4–13	0.03	20%	4 May →
nuke	13–10	0.01	11%	1 May →
cache	13–8	0.11	8%	1 May →
cache	13–5	-0.05	20%	1 May →
dust2	13–9	0.02	19%	26 Apr →
nuke	11–13	0.01	18%	26 Apr →
mirage	8–13	-0.06	20%	26 Apr →
mirage	9–13	0.01	15%	2 Apr →
inferno	6–13	-0.01	11%	2 Apr →
anubis	13–6	0.05	13%	2 Apr →
inferno	8–0	0.03	0%	30 Mar →
dust2	7–13	0.03	16%	27 Mar →
nuke	13–10	-0.10	6%	22 Mar →
mirage	4–13	-0.04	29%	18 Mar →
anubis	8–13	-0.06	9%	18 Mar →
overpass	13–10	-0.03	11%	16 Mar →
dust2	8–13	0.02	10%	12 Mar →
ancient	13–7	-0.02	23%	12 Mar →
anubis	13–10	-0.04	14%	11 Mar →
dust2	3–13	-0.08	11%	11 Mar →
nuke	9–13	0.03	39%	10 Mar →
mirage	11–13	-0.04	11%	1 Mar →
inferno	3–13	0.01	12%	23 Jan →
ancient	10–13	-0.04	10%	4 Jan →
dust2	10–13	-0.03	8%	24 Dec →
inferno	13–6	0.04	8%	24 Dec →
mirage	7–13	-0.00	12%	24 Dec →
inferno	13–2	-0.04	18%	24 Dec →
dust2	13–3	0.01	17%	24 Dec →
train	13–1	-0.03	22%	24 Dec →
nuke	8–13	0.03	13%	23 Dec →
mirage	13–11	-0.04	12%	9 Dec →
dust2	8–13	0.01	10%	9 Dec →
ancient	6–13	-0.03	15%	9 Dec →
mirage	12–12	-0.01	14%	30 Nov →
mirage	8–13	-0.04	22%	30 Nov →
nuke	2–13	-0.11	6%	30 Nov →
ancient	13–5	0.02	9%	30 Nov →
ancient	9–13	0.02	27%	29 Nov →
vertigo	13–11	-0.04	10%	29 Nov →
inferno	8–13	-0.05	5%	29 Nov →
mirage	11–13	0.02	18%	29 Nov →
dust2	13–3	0.05	18%	28 Nov →
ancient	6–13	-0.04	4%	17 Nov →
inferno	13–7	-0.03	13%	17 Nov →
mirage	11–13	-0.04	12%	17 Nov →
dust2	7–13	0.00	12%	17 Nov →
ancient	13–5	0.07	4%	12 Nov →
inferno	5–13	-0.00	2%	11 Nov →
dust2	11–13	0.03	16%	11 Nov →
overpass	10–13	0.01	12%	11 Nov →
train	7–13	-0.04	5%	10 Nov →
ancient	13–9	-0.02	13%	8 Nov →
dust2	16–14	-0.00	17%	3 Nov →
inferno	2–13	-0.04	24%	3 Nov →
dust2	13–11	-0.01	6%	23 Oct →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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