Slöydi — CS2 Stats

FI76561198135945425[U:1:175679697]Steam profile ↗✓ No bans

1,004Tracked matches50%Win rate2020Tracked since

CSDB Rating7.2 StrongPositional Player

CSDB Leaderboard#7497 of 260007 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+71Tracked matches · now 1,004

+9.3ppWin rate · 40.7% → 50.0%

Rating over time

Premier CS Rating: 26,815 +0 3 Sept – 18 Sept · 2 observations

26,815Peak Premier on CSDB

30Days played since 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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

Aim88

Positioning80

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY39–43–18Last 10039%Win rateLLLLWWTWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.6pp headshot accuracy · −8ms reaction

Win rate −10pp 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

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 28%
Avg reaction 567ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.06
Avg headshot accuracy 29%
Avg reaction 530ms

Last 20

9–8–3 · 45% win rate
Avg rating 0.08
Avg headshot accuracy 29%
Avg reaction 534ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.8

Utility3.8

Positioning8.0

Opening Duels7.8

Clutch4.4

Sharp aimerStrong positioning

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 s1mple 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8

Positioning8.0

Utility3.8

Mechanics6.5

Opening Duels9.6

Win Impact5.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.01

first ⅓ avg 0.06 → last ⅓ avg 0.07

Reaction time514ms+3ms

first ⅓ avg 511ms → last ⅓ avg 514ms

Headshot accuracy30.1%−9.4%

first ⅓ avg 39.5% → last ⅓ avg 30.1%

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.

Personal bests

0.26Best match rating · 13–5 · cache, 23 Oct →

100%Best headshot accuracy · 5–4 · inferno, 12 Sept →

359msFastest reaction time · 2–13 · office, 15 Oct →

13–0Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L4Current streak

7–3In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 63% over 16trainWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	31	14–17	45%	0.07
nuke	A	16	10–6	63%	0.08
dust2	C	9	4–5	44%	0.07
inferno	C	9	4–5	44%	0.06
office	D	9	1–8	11%	0.04
mirage	D	8	2–6	25%	0.05
train	D	5	0–5	0%	0.05
ancient	C	5	2–3	40%	0.04
overpass	—	4	1–3	25%	0.05
anubis	—	3	0–3	0%	-0.02
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Faceit stats

Combat

227Matches

56%Win rate

1.46Avg K/D

99.7ADR

45%Headshot %

Clutches & streaks

42%1v1 clutch win

40%1v2 clutch win

16Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	15	67%	1.42	18.8
Mirage	14	71%	1.88	18.7
Nuke	10	70%	2.30	18.9
Ancient	9	56%	2.09	21.3
Anubis	7	71%	1.73	22.4
Cache	6	100%	3.67	21.7
Dust2	4	50%	1.17	18.0
Vertigo	2	50%	1.28	17.0

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.

30.7%Headshot accuracy

36.7%Accuracy (enemy spotted)

39.7%Spray accuracy

79.1%Counter-strafing

10.8°Preaim

516msReaction time

70.2%T opening success

66.5%CT opening success

0.38Enemies flashed / flash

9.2%Flash assists

4.17HE damage / grenade

6.14Flashes / 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 0.3758 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.05	15%	1 Nov →
nuke	9–13	-0.01	28%	30 Oct →
dust2	3–13	0.01	24%	30 Oct →
cache	5–13	-0.03	36%	29 Oct →
nuke	13–11	0.12	38%	27 Oct →
cache	13–2	0.17	27%	27 Oct →
cache	12–12	0.09	36%	26 Oct →
cache	13–7	0.11	22%	25 Oct →
inferno	2–7	-0.01	31%	23 Oct →
cache	13–5	0.26	31%	23 Oct →
dust2	13–3	0.19	27%	23 Oct →
nuke	13–4	0.12	33%	23 Oct →
cache	4–13	0.02	23%	23 Oct →
mirage	8–13	0.11	26%	23 Oct →
cache	13–6	0.04	31%	21 Oct →
cache	12–12	0.10	31%	18 Oct →
nuke	7–13	0.08	28%	17 Oct →
cache	13–11	0.07	23%	17 Oct →
nuke	13–11	0.06	39%	16 Oct →
dust2	12–12	0.10	34%	16 Oct →
mirage	3–13	0.09	38%	16 Oct →
cache	8–13	0.05	22%	16 Oct →
train	12–12	0.07	44%	15 Oct →
office	2–13	0.07	45%	15 Oct →
office	10–13	-0.05	30%	8 Oct →
nuke	12–12	0.06	35%	3 Oct →
nuke	12–12	0.07	32%	3 Oct →
cache	13–0	0.20	33%	3 Oct →
cache	13–8	0.05	33%	27 Sept →
nuke	13–10	0.10	22%	27 Sept →
cache	11–13	-0.01	27%	27 Sept →
cache	12–12	0.03	25%	26 Sept →
train	6–13	0.03	22%	26 Sept →
nuke	13–3	0.08	19%	26 Sept →
overpass	13–9	0.01	31%	26 Sept →
cache	12–12	0.16	28%	26 Sept →
inferno	10–13	0.02	20%	26 Sept →
office	6–13	0.06	41%	24 Sept →
nuke	13–6	0.13	29%	23 Sept →
cache	9–13	0.03	22%	23 Sept →
cache	13–7	0.03	28%	23 Sept →
cache	13–6	0.10	22%	23 Sept →
vertigo	13–11	0.09	27%	23 Sept →
inferno	13–7	0.10	27%	22 Sept →
nuke	6–13	0.02	34%	22 Sept →
cache	13–8	0.07	45%	22 Sept →
inferno	11–13	0.10	34%	22 Sept →
ancient	5–13	-0.01	39%	22 Sept →
dust2	6–0	0.09	27%	22 Sept →
cache	13–10	0.06	22%	20 Sept →
nuke	13–10	0.09	38%	20 Sept →
dust2	13–5	0.08	27%	20 Sept →
inferno	9–13	0.02	22%	20 Sept →
anubis	3–13	-0.06	26%	20 Sept →
mirage	13–8	0.01	28%	20 Sept →
train	8–13	0.03	43%	20 Sept →
mirage	12–12	0.14	30%	19 Sept →
cache	9–13	0.03	22%	19 Sept →
cache	13–8	0.02	9%	19 Sept →
mirage	12–12	-0.01	31%	19 Sept →
ancient	13–9	0.07	37%	19 Sept →
dust2	12–12	0.06	28%	19 Sept →
nuke	12–12	0.01	25%	19 Sept →
ancient	12–12	0.09	21%	19 Sept →
overpass	9–13	0.10	36%	18 Sept →
anubis	6–13	0.03	36%	18 Sept →
ancient	13–11	0.07	30%	18 Sept →
office	8–13	-0.00	49%	18 Sept →
cache	12–12	0.07	32%	18 Sept →
mirage	12–12	0.02	30%	18 Sept →
dust2	0–13	0.00	31%	18 Sept →
dust2	1–13	-0.03	42%	17 Sept →
inferno	8–13	0.00	32%	17 Sept →
anubis	5–13	-0.02	30%	17 Sept →
cache	12–12	0.11	33%	17 Sept →
inferno	13–4	0.08	14%	16 Sept →
mirage	13–3	-0.00	39%	16 Sept →
cache	6–13	0.07	48%	16 Sept →
nuke	13–5	0.18	36%	16 Sept →
ancient	6–13	-0.01	40%	16 Sept →
office	7–13	0.02	32%	16 Sept →
overpass	12–12	0.00	33%	15 Sept →
office	2–13	0.07	29%	15 Sept →
inferno	13–6	0.04	38%	14 Sept →
office	11–13	0.03	28%	14 Sept →
cache	13–5	0.08	29%	14 Sept →
cache	5–13	0.17	65%	13 Sept →
mirage	2–9	0.02	41%	12 Sept →
inferno	5–4	0.20	100%	12 Sept →
dust2	13–6	0.10	50%	12 Sept →
cache	13–10	0.10	64%	12 Sept →
cache	6–13	0.10	41%	12 Sept →
train	6–13	-0.01	26%	12 Sept →
office	13–9	0.07	50%	12 Sept →
nuke	13–3	0.12	38%	12 Sept →
cache	7–13	0.03	20%	11 Sept →
nuke	13–11	0.05	30%	11 Sept →
overpass	6–13	0.09	49%	11 Sept →
train	12–12	0.11	32%	11 Sept →
office	8–13	0.09	53%	5 Sept →