Sementtisetä — CS2 Stats

76561199046190311[U:1:1085924583]Steam profile ↗✓ No bans

1,564Tracked matches52%Win rate2020Tracked since

2,744Hours in CS19Hrs last 2 wks

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating21,226Pink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#6924 of 18903 tracked

FaceitLevel 8 · 1,578 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning44

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWLWWLLTLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.2

Aggression3.0

Utility6.1

Positioning4.4

Opening Duels0.1

Clutch4.0

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 85% 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

T-side openings. Opening success drops from 44% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.2

Positioning4.4

Utility6.1

Mechanics6.2

Opening Duels1.7

Win Impact5.6

Composite 5.7/10 (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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time583ms−45ms

first ⅓ avg 628ms → last ⅓ avg 583ms

Headshot accuracy17.1%−0.7%

first ⅓ avg 17.8% → last ⅓ avg 17.1%

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

0.14Best rating — ancient 13–11

13–1Biggest win — nuke

9Longest win streak

10–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 60% over 15infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	34	20–14	59%	-0.01
nuke	A	22	12–10	55%	-0.00
ancient	A	15	9–6	60%	0.01
cache	B	10	5–5	50%	0.01
dust2	B	6	3–3	50%	0.02
inferno	C	5	2–3	40%	-0.02
overpass	—	4	2–2	50%	-0.01
anubis	—	2	0–2	0%	-0.02
boulder	—	1	0–1	0%	-0.01
fachwerk	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,405Lifetime kills

1.16K/D · Top 50% of Pink band

3,601Matches

47.5%Match win rate · Top 50% of Pink band

44.3%Headshot %

13.2%Shot accuracy · Top 50% of Pink band

8,156MVPs

1,712Hours (in match)

2,491Bombs planted

989Bombs defused

Most-used weapons

AK-4729,432

AWP14,801

M4A4 / M4A1-S10,095

P2000 / USP-S4,377

SSG 083,431

Glock-182,977

Desert Eagle2,657

MP92,152

P901,442

Molotov1,170

Lifetime map wins

5,737nuke

5,359train

2,924dust2

2,742inferno

1,514vertigo

88cbble

62lake

57office

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

Faceit stats

Combat

241Matches

54%Win rate

1.05Avg K/D

82.5ADR

37%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	62	55%	1.08	15.1
Nuke	29	62%	1.18	20.1
Ancient	23	48%	1.00	14.9
Inferno	15	53%	1.12	16.8
Dust2	10	50%	1.10	17.3
Anubis	9	56%	1.04	17.2
Cache	7	43%	1.10	17.0
Train	5	60%	0.97	15.4

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.

16.8%Headshot accuracy

36.1%Accuracy (enemy spotted)

38.4%Spray accuracy

77.9%Counter-strafing

9.5°Preaim

576msReaction time

16.9%T opening success

43.8%CT opening success

0.64Enemies flashed / flash

10.0%Flash assists

8.68HE damage / grenade

7.66Flashes / 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 16.9133% — 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.

40% win rate across 5 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
mirage	3–13	-0.02	14%	27 Aug →
nuke	13–10	0.01	13%	26 Aug →
ancient	10–13	-0.04	12%	23 Aug →
ancient	13–11	0.04	19%	23 Aug →
ancient	13–8	-0.02	44%	23 Aug →
nuke	10–13	-0.03	19%	22 Aug →
nuke	9–13	-0.01	14%	22 Aug →
mirage	15–15	-0.04	18%	22 Aug →
mirage	6–13	-0.03	13%	22 Aug →
cache	13–6	-0.00	8%	16 Aug →
cache	5–13	0.05	32%	15 Aug →
ancient	8–13	0.04	9%	15 Aug →
mirage	11–13	-0.04	13%	11 Aug →
mirage	5–13	-0.07	8%	9 Aug →
nuke	6–13	-0.04	14%	31 Jul →
ancient	13–7	0.07	50%	29 Jul →
cache	13–8	-0.02	16%	29 Jul →
inferno	13–7	0.04	19%	27 Jul →
mirage	5–13	-0.04	19%	26 Jul →
mirage	13–4	0.01	13%	26 Jul →
cache	13–9	0.07	11%	26 Jul →
cache	7–13	-0.02	18%	23 Jul →
mirage	13–8	-0.01	25%	23 Jul →
mirage	13–2	0.06	17%	23 Jul →
nuke	11–13	-0.03	11%	20 Jul →
nuke	13–8	-0.07	15%	15 Jul →
ancient	13–5	-0.04	9%	15 Jul →
anubis	9–13	-0.06	7%	13 Jul →
nuke	13–9	0.07	14%	13 Jul →
mirage	13–7	0.01	12%	13 Jul →
cache	13–7	0.01	17%	13 Jul →
boulder	1–13	-0.01	18%	12 Jul →
fachwerk	2–13	0.01	25%	12 Jul →
nuke	15–15	-0.05	14%	11 Jul →
mirage	6–13	-0.09	12%	11 Jul →
cache	10–13	-0.03	15%	10 Jul →
nuke	8–13	0.09	15%	10 Jul →
cache	13–11	0.08	17%	10 Jul →
inferno	3–13	-0.06	18%	10 Jul →
mirage	13–11	-0.02	17%	10 Jul →
dust2	10–13	0.10	21%	30 Jun →
mirage	5–13	-0.03	7%	30 Jun →
ancient	11–13	-0.00	28%	22 Jun →
mirage	15–15	-0.01	20%	20 Jun →
overpass	6–13	-0.02	21%	17 Jun →
nuke	13–8	-0.01	22%	17 Jun →
dust2	4–13	0.01	25%	17 Jun →
mirage	15–15	-0.02	14%	16 Jun →
mirage	13–6	0.02	24%	16 Jun →
nuke	9–4	0.02	14%	15 Jun →
mirage	13–11	-0.07	8%	9 Jun →
nuke	13–1	0.06	12%	9 Jun →
mirage	13–7	0.00	20%	9 Jun →
mirage	13–4	-0.04	26%	9 Jun →
mirage	13–3	0.10	10%	9 Jun →
ancient	13–8	-0.07	17%	7 Jun →
ancient	13–5	0.04	13%	7 Jun →
mirage	11–13	0.03	13%	7 Jun →
inferno	6–13	0.01	3%	7 Jun →
nuke	13–4	-0.01	23%	7 Jun →
dust2	13–11	0.01	14%	7 Jun →
nuke	13–10	0.12	15%	6 Jun →
ancient	5–13	-0.03	6%	6 Jun →
overpass	13–9	-0.03	8%	3 Jun →
inferno	9–13	-0.06	18%	25 May →
overpass	12–16	-0.03	13%	21 May →
nuke	11–13	-0.05	11%	21 May →
mirage	13–3	-0.05	17%	19 May →
mirage	0–4	-0.10	50%	19 May →
nuke	13–16	0.00	18%	18 May →
mirage	10–13	0.02	16%	18 May →
overpass	13–8	0.07	27%	18 May →
inferno	13–8	-0.05	9%	18 May →
mirage	13–10	-0.07	10%	14 May →
mirage	16–14	0.08	14%	14 May →
mirage	13–8	-0.06	19%	14 May →
cache	11–13	0.04	23%	12 May →
nuke	15–15	-0.03	9%	8 May →
ancient	13–10	0.02	20%	8 May →
mirage	13–10	0.07	16%	8 May →
ancient	16–13	0.09	10%	30 Apr →
dust2	13–10	-0.01	14%	30 Apr →
mirage	13–8	0.09	18%	27 Apr →
nuke	37–35	0.00	14%	26 Apr →
ancient	10–13	-0.04	19%	26 Apr →
anubis	15–15	0.02	14%	26 Apr →
cache	8–13	-0.04	15%	22 Apr →
nuke	5–13	-0.07	23%	21 Apr →
nuke	13–11	0.02	14%	21 Apr →
nuke	13–5	-0.06	17%	20 Apr →
dust2	13–11	-0.02	14%	14 Apr →
ancient	14–16	-0.00	15%	14 Apr →
mirage	13–7	0.02	23%	12 Apr →
mirage	13–1	-0.00	20%	12 Apr →
ancient	13–11	0.14	15%	12 Apr →
mirage	13–3	0.11	14%	12 Apr →
dust2	11–13	0.04	20%	10 Apr →
mirage	11–13	-0.00	22%	6 Apr →
mirage	13–8	-0.02	15%	6 Apr →
nuke	13–7	0.04	22%	6 Apr →