murhaaja-miikka — CS2 Stats

76561198053302745[U:1:93037017]Steam profile ↗✓ No bans

3,003Tracked matches40%Win rate2020Tracked since

3,474Hours in CS22Hrs last 2 wks

CSDB Rating3.2 LearningSupport

Premier CS Rating9,158Light Blue band · top ~58.9% of ranked players (population est.)

CSDB Leaderboard#168076 of 230837 tracked

FaceitLevel 5 · 1,086 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 22 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,158 +1,544 22 Apr – 19 Sept · 28 days played

9,352Peak Premier in tracked matches

1,086Highest Faceit ELO seen on CSDB

33Days played since 2026-04-22

Faceit ELO

At peak — 1,086
Next: Level 6 at 1,201 — 115 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

At peak — 9,158
Next: Blue band at 10,000 — 842 to go
Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=12,417), 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 5 median	Level 6 median	vs Level 6
Headshot rate	34.8%	43.8%	44.8%	10.0% short
Shot accuracy	10.5%	12.0%	12.4%	1.9% short
Kill/death ratio	0.63	1.02	1.04	0.40 short
Match win rate	42.4%	44.7%	45.2%	2.8% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim29

Positioning43

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY37–61–2Last 10037%Win rateWWLLWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · +77ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 14%
Avg reaction 669ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 11%
Avg reaction 746ms

Last 20

8–12 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 708ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim2.9

Utility6.2

Positioning4.3

Opening Duels0.8

Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 54% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 729ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9

Positioning4.3

Utility6.2

Mechanics3.7

Opening Duels1.2

Win Impact1.7

Composite 3.2/10 (Learning), 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 rating-0.03+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time714ms+8ms

first ⅓ avg 706ms → last ⅓ avg 714ms

Headshot accuracy12.9%−0.4%

first ⅓ avg 13.3% → last ⅓ avg 12.9%

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.

Personal bests

0.07Best match rating · 13–4 · ancient, 7 May →

50%Best headshot accuracy · 5–13 · inferno, 1 May →

477msFastest reaction time · 13–9 · nuke, 14 Sept →

13–2Biggest win · mirage, 22 Apr →

Across the last 100 tracked matches.

Highlights

3Longest win streak

W2Current streak

13–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 48% over 21cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	10–11	48%	-0.02
mirage	C	15	6–9	40%	-0.02
dust2	D	15	3–12	20%	-0.04
nuke	C	15	6–9	40%	-0.04
overpass	C	10	4–6	40%	-0.04
anubis	C	9	4–5	44%	-0.05
inferno	D	9	3–6	33%	-0.05
cache	D	6	1–5	17%	-0.06

Across the last 100 tracked matches.

Lifetime stats

54,726Lifetime kills

0.63K/D

4,187Matches

42.4%Match win rate

34.8%Headshot %

10.5%Shot accuracy

5,685MVPs

1,942Hours (in match)

6,854Bombs planted

963Bombs defused

Most-used weapons

AK-4715,005

M4A4 / M4A1-S10,322

Desert Eagle3,850

MP92,775

MAC-102,761

P2000 / USP-S2,585

MP72,297

Glock-182,191

AWP1,919

XM10141,718

Lifetime map wins

11,700nuke

4,637inferno

4,291dust2

4,254vertigo

3,917train

22office

21cbble

10safehouse

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

Faceit stats

Combat

1,281Matches

49%Win rate

0.71Avg K/D

64.2ADR

31%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	88	61%	0.77	11.0
Ancient	86	56%	0.84	13.1
Mirage	39	38%	0.68	11.7
Anubis	30	40%	0.74	11.0
Dust2	30	40%	0.72	11.2
Train	26	65%	0.78	13.2
Vertigo	21	52%	0.80	13.7
Overpass	13	54%	0.81	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.

12.8%Headshot accuracy

33.2%Accuracy (enemy spotted)

32.9%Spray accuracy

66.5%Counter-strafing

11.3°Preaim

729msReaction time

35.0%T opening success

34.3%CT opening success

0.61Enemies flashed / flash

5.4%Flash assists

10.69HE damage / grenade

14.74Flashes / 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 12.8214% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 729.0251ms — above the 700ms mark we flag
Aim Training →
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 34.987% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.01	16%	19 Sept →
dust2	13–11	-0.01	14%	19 Sept →
nuke	4–13	-0.10	6%	19 Sept →
anubis	10–13	-0.03	17%	17 Sept →
nuke	13–5	-0.05	17%	17 Sept →
ancient	13–7	0.03	11%	16 Sept →
cache	8–13	-0.11	0%	16 Sept →
anubis	3–13	-0.10	3%	15 Sept →
ancient	11–13	-0.05	14%	15 Sept →
dust2	9–13	0.00	14%	15 Sept →
dust2	6–13	-0.04	15%	14 Sept →
nuke	13–9	-0.07	8%	14 Sept →
inferno	5–13	-0.03	17%	14 Sept →
dust2	13–11	-0.04	13%	14 Sept →
ancient	13–11	0.06	14%	14 Sept →
mirage	5–13	-0.02	19%	13 Sept →
dust2	10–13	-0.03	11%	13 Sept →
ancient	3–13	-0.04	9%	13 Sept →
cache	13–11	-0.04	13%	13 Sept →
ancient	6–13	0.05	11%	13 Sept →
dust2	8–13	-0.11	21%	12 Sept →
nuke	9–13	-0.02	10%	12 Sept →
inferno	13–11	-0.00	19%	12 Sept →
cache	9–13	-0.06	10%	11 Sept →
inferno	13–11	-0.01	15%	11 Sept →
ancient	7–13	-0.06	0%	11 Sept →
nuke	13–3	-0.10	26%	9 Sept →
ancient	11–13	-0.01	8%	9 Sept →
cache	6–13	-0.08	14%	9 Sept →
mirage	16–13	0.01	15%	9 Sept →
overpass	6–13	-0.09	16%	30 May →
mirage	15–15	0.05	15%	29 May →
anubis	4–13	-0.06	12%	29 May →
mirage	9–13	-0.03	10%	28 May →
nuke	10–13	-0.03	24%	27 May →
ancient	13–11	0.02	13%	27 May →
mirage	0–13	-0.10	0%	27 May →
anubis	9–13	-0.09	11%	27 May →
dust2	10–13	-0.03	33%	27 May →
ancient	13–5	-0.03	21%	27 May →
ancient	13–9	-0.03	11%	26 May →
mirage	13–11	-0.04	21%	26 May →
dust2	8–13	-0.04	14%	26 May →
dust2	13–8	0.03	16%	26 May →
dust2	3–13	0.01	12%	26 May →
nuke	13–10	-0.05	6%	26 May →
ancient	13–16	-0.04	9%	22 May →
nuke	13–6	-0.02	7%	22 May →
anubis	16–12	-0.01	8%	22 May →
nuke	12–16	-0.04	14%	22 May →
ancient	13–11	-0.09	21%	22 May →
nuke	11–13	0.01	8%	21 May →
overpass	13–6	0.04	18%	21 May →
nuke	10–13	-0.09	14%	21 May →
dust2	10–13	-0.05	10%	21 May →
overpass	3–13	-0.09	8%	20 May →
ancient	13–9	-0.03	10%	20 May →
mirage	2–13	-0.04	6%	20 May →
ancient	3–13	-0.01	13%	19 May →
overpass	13–9	-0.01	8%	19 May →
overpass	8–13	-0.05	19%	19 May →
ancient	15–15	-0.04	13%	19 May →
inferno	10–13	-0.12	3%	18 May →
ancient	7–13	-0.04	21%	18 May →
anubis	13–16	-0.08	12%	18 May →
mirage	13–9	-0.02	15%	18 May →
overpass	13–10	-0.03	7%	18 May →
dust2	5–13	-0.09	14%	17 May →
nuke	6–13	-0.06	4%	17 May →
dust2	9–13	-0.06	8%	17 May →
mirage	10–13	0.04	13%	15 May →
ancient	14–16	-0.07	6%	14 May →
inferno	13–8	-0.01	7%	14 May →
anubis	13–9	-0.01	14%	13 May →
ancient	13–11	-0.04	4%	13 May →
inferno	9–13	-0.08	6%	13 May →
nuke	7–13	-0.05	18%	13 May →
nuke	13–3	0.07	25%	12 May →
inferno	5–13	0.01	11%	12 May →
ancient	6–13	-0.04	10%	11 May →
anubis	13–10	-0.06	16%	8 May →
inferno	7–13	-0.09	9%	8 May →
mirage	13–11	-0.05	4%	8 May →
overpass	11–13	-0.07	19%	8 May →
anubis	13–11	-0.05	10%	8 May →
overpass	6–13	-0.12	0%	7 May →
ancient	13–4	0.07	11%	7 May →
ancient	13–9	-0.01	4%	6 May →
mirage	6–13	-0.05	15%	6 May →
mirage	8–13	-0.07	26%	6 May →
nuke	9–13	-0.02	17%	6 May →
overpass	3–13	-0.07	17%	2 May →
mirage	9–13	-0.07	9%	1 May →
inferno	5–13	-0.09	50%	1 May →
cache	7–13	-0.04	7%	29 Apr →
cache	5–13	-0.04	13%	29 Apr →
overpass	13–3	0.06	14%	28 Apr →
dust2	3–13	-0.12	15%	28 Apr →
mirage	13–2	0.01	16%	22 Apr →
dust2	7–13	0.00	23%	22 Apr →