kast1x — CS2 Stats

US76561197960407857[U:1:142129]Steam profile ↗

1,262Tracked matches47%Win rate2020Tracked since

3,094Hours in CS3Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating22,283Top 50% of 819 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#4164 of 13112 tracked

FaceitLevel 10 · 2,106 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median
Headshot rate	50.8%	52.8%
Shot accuracy	17.6%	13.7%
Kill/death ratio	0.99	1.08
Match win rate	52.0%	49.2%

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Performance scores

Aim77

Positioning43

Utility68

0–100 skill scores via Leetify.

Recent form

COLD56–39–5Last 10056%Win rateLWLLWLWLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.7

Aggression4.8

Utility6.8

Positioning4.3

Opening Duels1.3

Clutch3.0

Effective flashes

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Aim7.7

Positioning4.3

Utility6.8

Mechanics6.4

Opening Duels1.5

Win Impact3.9

Composite 5.8/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time542ms−49ms

first ⅓ avg 592ms → last ⅓ avg 542ms

Headshot accuracy17.0%−3.5%

first ⅓ avg 20.4% → last ⅓ avg 17.0%

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

0.20Best rating — dust2 13–7

12–0Biggest win — dust2

7Longest win streak

9–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	12–14	46%	0.02
inferno	A	24	15–9	63%	0.01
cache	S	23	15–8	65%	0.02
nuke	A	9	5–4	56%	0.02
ancient	D	7	2–5	29%	-0.00
anubis	S	6	4–2	67%	0.01
mirage	—	4	2–2	50%	0.01
aztec_hr	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,769Lifetime kills

0.99K/D

3,287Matches

52.0%Match win rate · Top 50% of Level 10 players

50.8%Headshot %

17.6%Shot accuracy · Top 25% of Level 10 players

7,838MVPs

2,240Hours (in match)

4,309Bombs planted

1,106Bombs defused

Most-used weapons

AK-4749,325

M4A4 / M4A1-S24,500

AWP19,131

P2000 / USP-S9,403

Desert Eagle5,426

Glock-183,691

SG 5533,074

P2501,987

Knife1,571

Tec-9867

Lifetime map wins

10,209inferno

4,977dust2

2,139nuke

1,725train

1,302vertigo

1,275cbble

21dust

11lake

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

Faceit stats

Combat

1,033Matches

59%Win rate

1.26Avg K/D

76.0ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

25Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	45	51%	1.05	14.9
Anubis	43	51%	1.10	14.2
Mirage	30	43%	0.88	13.9
Dust2	20	50%	1.00	14.8
Vertigo	18	56%	1.09	16.3
Nuke	15	53%	1.12	16.1
Ancient	15	67%	0.93	15.4
Cache	7	86%	1.17	18.4

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.

16.2%Headshot accuracy

35.6%Accuracy (enemy spotted)

38.6%Spray accuracy

79.0%Counter-strafing

8.5°Preaim

538msReaction time

28.0%T opening success

42.4%CT opening success

0.74Enemies flashed / flash

6.4%Flash assists

8.21HE damage / grenade

17.10Flashes / 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.

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 27.9845% — below the 40% mark we flag

Spend your practice time on Ancient

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 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.02	8%	18 Aug →
inferno	13–3	0.05	15%	18 Aug →
inferno	5–13	-0.01	10%	14 Aug →
dust2	6–13	-0.04	27%	14 Aug →
ancient	13–10	0.04	19%	13 Aug →
inferno	14–16	-0.03	11%	1 Aug →
inferno	13–4	-0.01	14%	1 Aug →
ancient	9–13	0.00	13%	1 Aug →
cache	11–13	-0.04	8%	1 Aug →
dust2	11–13	0.00	14%	31 Jul →
inferno	13–5	0.02	15%	31 Jul →
mirage	9–13	0.02	23%	31 Jul →
mirage	13–4	0.03	20%	31 Jul →
ancient	6–13	-0.04	5%	31 Jul →
cache	8–13	0.06	7%	31 Jul →
dust2	16–14	0.02	21%	31 Jul →
inferno	6–13	-0.00	27%	25 Jul →
inferno	13–11	-0.04	26%	25 Jul →
dust2	9–13	-0.11	12%	25 Jul →
anubis	13–8	0.01	10%	25 Jul →
cache	13–9	-0.01	14%	25 Jul →
dust2	13–7	-0.03	25%	25 Jul →
dust2	13–8	-0.00	17%	25 Jul →
cache	11–13	0.02	17%	25 Jul →
inferno	1–13	-0.08	22%	25 Jul →
dust2	13–7	0.20	19%	20 Jul →
inferno	13–6	0.12	17%	20 Jul →
ancient	4–13	0.01	8%	20 Jul →
mirage	4–13	-0.00	18%	19 Jul →
inferno	13–4	0.08	31%	19 Jul →
nuke	13–2	0.00	26%	19 Jul →
dust2	8–13	0.02	20%	19 Jul →
cache	11–13	0.05	22%	19 Jul →
dust2	13–6	0.06	25%	19 Jul →
anubis	16–12	0.05	9%	18 Jul →
inferno	13–2	-0.01	22%	18 Jul →
cache	13–8	0.03	17%	18 Jul →
dust2	13–2	0.06	20%	18 Jul →
ancient	16–14	0.01	4%	18 Jul →
inferno	13–11	0.04	9%	18 Jul →
ancient	9–13	0.00	14%	18 Jul →
inferno	13–9	-0.03	32%	12 Jul →
dust2	13–8	-0.04	7%	12 Jul →
cache	3–13	-0.07	10%	10 Jul →
cache	6–13	-0.05	13%	10 Jul →
inferno	13–4	0.05	24%	10 Jul →
cache	16–13	0.05	16%	10 Jul →
nuke	10–13	0.07	10%	9 Jul →
cache	13–2	0.04	24%	9 Jul →
dust2	6–13	0.07	20%	9 Jul →
cache	13–6	0.02	15%	4 Jul →
cache	10–10	0.00	21%	4 Jul →
cache	13–3	0.01	11%	4 Jul →
anubis	13–7	0.00	11%	28 Jun →
dust2	11–13	0.00	29%	28 Jun →
ancient	10–13	-0.04	20%	27 Jun →
nuke	16–12	-0.01	19%	27 Jun →
dust2	15–15	0.01	32%	27 Jun →
nuke	13–4	0.04	38%	27 Jun →
dust2	8–13	0.06	21%	16 Jun →
dust2	14–16	0.02	14%	14 Jun →
dust2	10–13	0.06	19%	13 Jun →
inferno	13–11	0.09	20%	13 Jun →
mirage	13–10	-0.02	26%	13 Jun →
dust2	15–15	-0.01	23%	13 Jun →
inferno	13–9	-0.02	18%	13 Jun →
cache	9–13	-0.03	14%	12 Jun →
dust2	5–13	0.05	23%	12 Jun →
nuke	13–5	0.01	11%	12 Jun →
dust2	12–0	0.10	16%	12 Jun →
inferno	15–15	-0.03	18%	12 Jun →
inferno	15–15	0.00	16%	12 Jun →
inferno	15–15	0.01	16%	12 Jun →
cache	13–6	0.08	22%	10 Jun →
cache	13–5	0.08	19%	10 Jun →
cache	13–5	0.09	20%	10 Jun →
aztec_hr	13–10	-0.02	24%	7 Jun →
inferno	13–8	0.00	30%	7 Jun →
cache	13–11	0.05	10%	7 Jun →
nuke	11–13	0.02	13%	4 Jun →
dust2	6–13	-0.04	11%	2 Jun →
cache	13–4	-0.04	15%	30 May →
cache	13–4	0.07	15%	30 May →
anubis	13–10	-0.02	18%	30 May →
anubis	4–13	-0.06	29%	24 May →
cache	13–11	0.05	33%	24 May →
dust2	3–13	-0.06	10%	24 May →
inferno	13–11	-0.00	21%	24 May →
nuke	13–6	0.05	38%	24 May →
inferno	10–13	-0.04	33%	18 May →
cache	13–10	0.11	17%	18 May →
nuke	3–13	0.01	26%	18 May →
dust2	13–2	0.02	16%	18 May →
dust2	16–13	0.01	20%	15 May →
inferno	13–10	0.12	20%	15 May →
dust2	13–3	-0.01	31%	15 May →
nuke	2–13	0.00	14%	15 May →
dust2	13–9	0.03	44%	15 May →
anubis	10–13	0.06	13%	13 May →
cache	7–13	-0.04	11%	13 May →