K4wT — CS2 Stats

76561198120718755[U:1:160453027]

2,663Tracked matches50%Win rate2020Tracked since

5,381Hours in CS59Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating21,680Pink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#2446 of 6915 tracked

FaceitLevel 7 · 1,376 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62

Positioning47

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWLLLWWWW

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

Player DNA

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

Aim6.2

Aggression4.8

Utility5.0

Positioning4.7

Opening Duels1.4

Clutch3.6

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 87% playstyle similarity

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

Where you differ: 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 46% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim6.2

Positioning4.7

Utility5.0

Mechanics4.8

Opening Duels2.0

Win Impact5.0

Composite 5.1/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time564ms−23ms

first ⅓ avg 588ms → last ⅓ avg 564ms

Headshot accuracy21.2%−4.0%

first ⅓ avg 25.3% → last ⅓ avg 21.2%

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

0.15Best rating — nuke 7–4

13–2Biggest win — mirage

6Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	19–16	54%	0.01
anubis	C	16	6–10	38%	-0.00
nuke	D	12	4–8	33%	0.02
cache	A	11	6–5	55%	-0.01
inferno	D	10	2–8	20%	0.00
ancient	S	10	7–3	70%	-0.01
dust2	D	6	2–4	33%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

233,577Lifetime kills

1.14K/D · Top 50% of Pink band

8,030Matches

35.0%Match win rate

64.5%Headshot % · Top 10% of Pink band

7.5%Shot accuracy

14,634MVPs

3,277Hours (in match)

6,168Bombs planted

3,452Bombs defused

Most-used weapons

AK-47103,696

M4A4 / M4A1-S40,935

P2000 / USP-S15,399

Desert Eagle15,221

AWP14,935

UMP-456,374

Glock-185,919

FAMAS5,438

MP93,871

Galil AR3,279

Lifetime map wins

10,682dust2

10,403inferno

5,142nuke

1,672train

1,600vertigo

1,157cbble

187lake

33bank

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

Faceit stats

Combat

2,451Matches

48%Win rate

1.06Avg K/D

77.6ADR

54%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	784	49%	1.08	15.6
Inferno	334	44%	1.05	16.0
Ancient	275	45%	1.01	15.7
Nuke	251	54%	1.16	16.0
Anubis	214	48%	1.06	15.6
Dust2	149	42%	0.96	14.5
Vertigo	38	47%	1.01	13.8
Cache	30	67%	1.23	17.2

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.

21.2%Headshot accuracy

30.7%Accuracy (enemy spotted)

31.4%Spray accuracy

71.8%Counter-strafing

9.4°Preaim

556msReaction time

25.3%T opening success

45.7%CT opening success

0.44Enemies flashed / flash

5.8%Flash assists

6.90HE damage / grenade

8.57Flashes / 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.

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 0.4442 — 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 25.2595% — 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.

20% win rate across 10 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
cache	9–13	0.01	24%	27 Aug →
dust2	7–13	-0.01	26%	27 Aug →
anubis	13–11	-0.05	16%	27 Aug →
mirage	5–13	-0.06	13%	26 Aug →
mirage	11–13	0.01	15%	26 Aug →
anubis	6–13	0.00	29%	26 Aug →
mirage	13–6	0.08	13%	26 Aug →
cache	13–9	-0.01	13%	26 Aug →
mirage	13–8	0.04	30%	26 Aug →
mirage	13–8	-0.01	18%	26 Aug →
nuke	13–10	-0.03	12%	25 Aug →
cache	13–7	-0.00	23%	25 Aug →
inferno	9–13	-0.06	23%	25 Aug →
mirage	14–16	0.00	26%	25 Aug →
anubis	20–22	-0.03	31%	25 Aug →
mirage	13–8	0.06	33%	24 Aug →
inferno	8–13	-0.02	15%	24 Aug →
cache	3–13	-0.06	24%	24 Aug →
anubis	8–13	-0.04	26%	23 Aug →
cache	13–9	-0.00	25%	20 Aug →
mirage	13–10	0.03	16%	17 Aug →
mirage	13–2	0.02	40%	17 Aug →
dust2	11–13	-0.02	22%	17 Aug →
mirage	13–7	-0.08	14%	17 Aug →
ancient	13–7	-0.05	11%	16 Aug →
anubis	13–7	0.03	24%	16 Aug →
inferno	6–13	0.04	12%	16 Aug →
mirage	11–13	-0.05	13%	16 Aug →
anubis	10–13	0.06	22%	16 Aug →
nuke	7–4	0.15	27%	16 Aug →
mirage	13–10	-0.00	15%	16 Aug →
mirage	6–13	-0.03	13%	15 Aug →
nuke	2–13	0.06	37%	15 Aug →
cache	6–13	0.01	13%	15 Aug →
inferno	4–13	-0.06	14%	15 Aug →
anubis	8–13	-0.02	22%	15 Aug →
mirage	3–13	0.00	10%	15 Aug →
cache	13–5	0.02	20%	15 Aug →
dust2	7–13	-0.05	18%	15 Aug →
inferno	8–13	-0.01	24%	15 Aug →
anubis	15–15	-0.01	25%	15 Aug →
mirage	13–5	0.04	24%	15 Aug →
nuke	11–13	0.01	20%	15 Aug →
ancient	13–9	-0.02	10%	15 Aug →
nuke	9–13	0.06	25%	13 Aug →
mirage	6–13	-0.02	20%	13 Aug →
inferno	13–8	-0.02	24%	13 Aug →
inferno	13–7	0.04	22%	10 Aug →
cache	15–15	0.03	25%	10 Aug →
ancient	13–3	0.02	22%	10 Aug →
mirage	13–11	-0.02	31%	10 Aug →
anubis	13–4	0.04	30%	10 Aug →
anubis	13–10	0.04	29%	9 Aug →
nuke	8–13	0.05	15%	8 Aug →
dust2	13–11	0.02	31%	7 Aug →
cache	13–9	0.00	20%	6 Aug →
ancient	16–14	-0.00	23%	5 Aug →
mirage	9–13	0.03	20%	5 Aug →
inferno	8–13	-0.05	8%	4 Aug →
mirage	13–5	0.06	23%	4 Aug →
inferno	10–13	0.07	22%	2 Aug →
ancient	6–13	-0.02	33%	2 Aug →
anubis	8–13	-0.06	25%	2 Aug →
nuke	13–7	0.01	24%	2 Aug →
cache	7–13	-0.02	13%	2 Aug →
mirage	13–9	0.03	28%	2 Aug →
mirage	6–13	0.04	31%	1 Aug →
anubis	13–7	0.02	13%	1 Aug →
anubis	13–9	-0.01	19%	1 Aug →
nuke	13–8	0.02	20%	30 Jul →
anubis	9–13	0.04	25%	30 Jul →
ancient	9–13	-0.04	15%	30 Jul →
mirage	4–13	-0.05	22%	30 Jul →
dust2	16–13	0.01	27%	30 Jul →
mirage	13–6	0.09	28%	30 Jul →
dust2	8–13	-0.02	35%	30 Jul →
nuke	10–13	0.06	25%	30 Jul →
mirage	13–2	0.04	38%	29 Jul →
nuke	11–13	0.00	33%	29 Jul →
mirage	14–16	-0.03	26%	28 Jul →
ancient	13–6	-0.03	27%	28 Jul →
mirage	13–16	-0.02	27%	26 Jul →
mirage	13–6	-0.02	13%	26 Jul →
anubis	11–13	0.00	15%	26 Jul →
mirage	13–10	0.00	23%	25 Jul →
anubis	2–13	-0.05	22%	25 Jul →
mirage	12–16	0.02	32%	25 Jul →
ancient	13–8	0.03	31%	24 Jul →
ancient	6–13	-0.02	39%	24 Jul →
mirage	7–13	-0.07	24%	24 Jul →
mirage	13–11	-0.06	17%	24 Jul →
mirage	10–13	0.09	32%	24 Jul →
mirage	13–5	0.04	23%	23 Jul →
mirage	13–9	0.06	31%	23 Jul →
cache	13–6	-0.05	25%	23 Jul →
inferno	9–13	0.05	18%	23 Jul →
ancient	13–8	0.01	16%	23 Jul →
nuke	2–13	-0.07	22%	23 Jul →
nuke	4–13	-0.05	42%	22 Jul →
mirage	5–13	0.03	30%	22 Jul →