katto myyjä silver kuk — CS2 Stats

76561197999769376[U:1:39503648]Steam profile ↗✓ No bans

1,054Tracked matches45%Win rate2020Tracked since

2,665Hours in CS3Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating22,049Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#7460 of 24607 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	43.7%	42.5%	44.2%	meets
Shot accuracy	14.5%	10.9%	11.2%	above
Kill/death ratio	1.12	0.99	1.04	above
Match win rate	46.3%	44.2%	45.3%	above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim70

Positioning51

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWWLWLLLWLL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim7.0

Aggression6.3

Utility5.8

Positioning5.1

Opening Duels1.7

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 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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. 642ms 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

Aim7.0

Positioning5.1

Utility5.8

Mechanics8.3

Opening Duels1.7

Win Impact3.3

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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time653ms−111ms

first ⅓ avg 764ms → last ⅓ avg 653ms

Headshot accuracy16.0%−0.4%

first ⅓ avg 16.3% → last ⅓ avg 16.0%

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

0.19Best rating — cache 13–1

13–1Biggest win — cache

7Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 69% over 16infernoWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	-0.01
inferno	C	16	6–10	38%	0.01
cache	S	16	11–5	69%	0.04
ancient	A	14	8–6	57%	-0.01
nuke	S	13	9–4	69%	0.01
mirage	S	6	4–2	67%	-0.01
overpass	—	4	1–3	25%	0.01
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,281Lifetime kills

1.12K/D · Top 25% of Level 4 players

3,982Matches

46.3%Match win rate · Top 50% of Level 4 players

43.7%Headshot % · Top 50% of Level 4 players

14.5%Shot accuracy · Top 50% of Level 4 players

12,181MVPs

1,438Hours (in match)

4,617Bombs planted

832Bombs defused

Most-used weapons

AK-4725,785

M4A4 / M4A1-S15,152

AWP8,846

Desert Eagle6,272

P2000 / USP-S5,598

Glock-182,976

Galil AR2,355

FAMAS2,182

P2501,213

SSG 081,082

Lifetime map wins

10,965dust2

5,932inferno

1,980nuke

1,482train

512cbble

511vertigo

136office

66lake

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.

15.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.5%Spray accuracy

87.5%Counter-strafing

9.4°Preaim

642msReaction time

32.1%T opening success

41.7%CT opening success

0.74Enemies flashed / flash

4.9%Flash assists

6.86HE damage / grenade

10.45Flashes / 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 32.0793% — 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.

38% win rate across 16 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
dust2	13–5	-0.05	21%	19 Aug →
ancient	13–8	-0.07	3%	16 Aug →
inferno	5–13	0.02	28%	15 Aug →
nuke	10–8	-0.01	12%	15 Aug →
dust2	9–13	0.03	10%	15 Aug →
dust2	3–13	-0.03	23%	14 Aug →
ancient	10–13	-0.01	13%	14 Aug →
nuke	13–10	-0.05	8%	14 Aug →
inferno	9–13	-0.02	28%	12 Aug →
ancient	1–13	-0.02	16%	12 Aug →
dust2	13–9	-0.01	22%	12 Aug →
cache	9–13	0.02	22%	11 Aug →
dust2	5–13	-0.03	3%	11 Aug →
mirage	11–13	-0.02	14%	6 Aug →
ancient	13–4	0.08	10%	6 Aug →
dust2	13–6	-0.03	24%	6 Aug →
dust2	13–5	-0.03	23%	5 Aug →
cache	13–1	0.19	18%	5 Aug →
ancient	4–13	-0.06	32%	5 Aug →
nuke	6–13	0.06	17%	31 Jul →
dust2	11–13	-0.06	11%	31 Jul →
cache	6–2	-0.01	13%	31 Jul →
cache	10–13	0.01	19%	31 Jul →
mirage	13–8	0.02	24%	31 Jul →
dust2	4–13	-0.03	15%	31 Jul →
inferno	2–13	-0.11	5%	31 Jul →
dust2	10–13	0.00	14%	31 Jul →
mirage	12–5	-0.00	11%	29 Jul →
mirage	16–13	0.05	11%	29 Jul →
ancient	15–15	-0.03	8%	29 Jul →
nuke	13–2	-0.06	12%	22 Jul →
ancient	13–11	-0.02	17%	22 Jul →
dust2	16–12	-0.01	18%	22 Jul →
nuke	13–11	0.03	20%	17 Jul →
overpass	6–13	0.03	32%	17 Jul →
ancient	13–8	0.03	18%	17 Jul →
dust2	2–13	-0.01	17%	17 Jul →
cache	13–3	-0.07	6%	17 Jul →
nuke	14–16	0.01	32%	17 Jul →
dust2	11–13	-0.01	22%	17 Jul →
nuke	13–6	-0.04	36%	17 Jul →
inferno	8–13	-0.03	17%	17 Jul →
cache	13–5	0.00	14%	17 Jul →
ancient	14–16	-0.01	26%	17 Jul →
nuke	16–14	0.04	13%	14 Jul →
ancient	13–10	0.00	16%	14 Jul →
dust2	11–13	-0.03	24%	14 Jul →
cache	12–12	0.04	20%	10 Jul →
ancient	13–8	0.05	17%	10 Jul →
dust2	13–10	-0.06	25%	10 Jul →
dust2	13–5	0.07	30%	10 Jul →
inferno	13–5	0.05	21%	10 Jul →
cache	13–7	0.08	18%	10 Jul →
nuke	13–5	0.10	8%	10 Jul →
ancient	13–9	0.01	15%	1 Jul →
inferno	10–13	-0.07	12%	1 Jul →
inferno	13–2	0.07	24%	1 Jul →
dust2	11–13	0.11	21%	1 Jul →
mirage	9–13	-0.05	18%	30 Jun →
dust2	16–13	0.01	15%	30 Jun →
dust2	15–15	-0.05	21%	30 Jun →
inferno	9–13	-0.01	15%	3 Jun →
dust2	9–13	0.00	22%	3 Jun →
cache	6–13	-0.08	19%	3 Jun →
cache	13–11	0.04	20%	25 May →
inferno	13–10	0.06	12%	25 May →
cache	13–3	0.14	12%	22 May →
inferno	13–11	0.07	18%	22 May →
dust2	8–13	-0.07	6%	14 May →
overpass	12–12	-0.00	2%	13 May →
inferno	10–13	-0.04	20%	13 May →
mirage	13–9	-0.08	7%	13 May →
cache	13–5	0.11	28%	13 May →
dust2	13–5	-0.11	14%	13 May →
dust2	13–6	0.01	20%	7 May →
cache	3–13	0.03	13%	7 May →
cache	13–2	0.05	13%	29 Apr →
cache	13–6	0.01	7%	29 Apr →
cache	13–7	0.06	21%	29 Apr →
dust2	13–8	0.01	18%	2 Apr →
inferno	5–13	0.01	5%	2 Apr →
train	0–13	-0.08	7%	2 Apr →
dust2	1–13	0.00	11%	2 Apr →
inferno	6–13	-0.05	26%	31 Mar →
nuke	13–6	0.02	15%	31 Mar →
ancient	16–12	-0.04	10%	31 Mar →
dust2	13–3	0.07	17%	31 Mar →
dust2	6–13	-0.01	18%	6 Mar →
overpass	7–13	0.03	17%	6 Mar →
nuke	9–13	-0.04	20%	6 Mar →
inferno	13–2	0.11	27%	6 Mar →
dust2	13–10	0.08	32%	6 Mar →
nuke	9–6	0.12	18%	6 Mar →
inferno	9–5	0.12	19%	6 Mar →
dust2	10–13	-0.03	15%	21 Feb →
overpass	13–9	-0.03	21%	21 Feb →
ancient	15–15	0.01	19%	21 Feb →
inferno	8–13	-0.03	20%	21 Feb →
dust2	13–9	-0.06	16%	14 Feb →
nuke	6–9	-0.06	21%	14 Feb →